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import Mathlib.Analysis.Complex.UpperHalfPlane.Topology import Mathlib.Analysis.SpecialFunctions.Arsinh import Mathlib.Geometry.Euclidean.Inversion.Basic #align_import analysis.complex.upper_half_plane.metric from "leanprover-community/mathlib"@"caa58cbf5bfb7f81ccbaca4e8b8ac4bc2b39cc1c" noncomputable section open scoped UpperHalfPlane ComplexConjugate NNReal Topology MatrixGroups open Set Metric Filter Real variable {z w : ℍ} {r R : ℝ} namespace UpperHalfPlane instance : Dist ℍ := ⟨fun z w => 2 * arsinh (dist (z : ℂ) w / (2 * √(z.im * w.im)))⟩ theorem dist_eq (z w : ℍ) : dist z w = 2 * arsinh (dist (z : ℂ) w / (2 * √(z.im * w.im))) := rfl #align upper_half_plane.dist_eq UpperHalfPlane.dist_eq theorem sinh_half_dist (z w : ℍ) : sinh (dist z w / 2) = dist (z : ℂ) w / (2 * √(z.im * w.im)) := by rw [dist_eq, mul_div_cancel_left₀ (arsinh _) two_ne_zero, sinh_arsinh] #align upper_half_plane.sinh_half_dist UpperHalfPlane.sinh_half_dist theorem cosh_half_dist (z w : ℍ) : cosh (dist z w / 2) = dist (z : ℂ) (conj (w : ℂ)) / (2 * √(z.im * w.im)) := by rw [← sq_eq_sq, cosh_sq', sinh_half_dist, div_pow, div_pow, one_add_div, mul_pow, sq_sqrt] · congr 1 simp only [Complex.dist_eq, Complex.sq_abs, Complex.normSq_sub, Complex.normSq_conj, Complex.conj_conj, Complex.mul_re, Complex.conj_re, Complex.conj_im, coe_im] ring all_goals positivity #align upper_half_plane.cosh_half_dist UpperHalfPlane.cosh_half_dist theorem tanh_half_dist (z w : ℍ) : tanh (dist z w / 2) = dist (z : ℂ) w / dist (z : ℂ) (conj ↑w) := by rw [tanh_eq_sinh_div_cosh, sinh_half_dist, cosh_half_dist, div_div_div_comm, div_self, div_one] positivity #align upper_half_plane.tanh_half_dist UpperHalfPlane.tanh_half_dist
Mathlib/Analysis/Complex/UpperHalfPlane/Metric.lean
66
68
theorem exp_half_dist (z w : ℍ) : exp (dist z w / 2) = (dist (z : ℂ) w + dist (z : ℂ) (conj ↑w)) / (2 * √(z.im * w.im)) := by
rw [← sinh_add_cosh, sinh_half_dist, cosh_half_dist, add_div]
1
2.718282
0
0.777778
9
689
import Mathlib.Analysis.Complex.UpperHalfPlane.Topology import Mathlib.Analysis.SpecialFunctions.Arsinh import Mathlib.Geometry.Euclidean.Inversion.Basic #align_import analysis.complex.upper_half_plane.metric from "leanprover-community/mathlib"@"caa58cbf5bfb7f81ccbaca4e8b8ac4bc2b39cc1c" noncomputable section open scoped UpperHalfPlane ComplexConjugate NNReal Topology MatrixGroups open Set Metric Filter Real variable {z w : ℍ} {r R : ℝ} namespace UpperHalfPlane instance : Dist ℍ := ⟨fun z w => 2 * arsinh (dist (z : ℂ) w / (2 * √(z.im * w.im)))⟩ theorem dist_eq (z w : ℍ) : dist z w = 2 * arsinh (dist (z : ℂ) w / (2 * √(z.im * w.im))) := rfl #align upper_half_plane.dist_eq UpperHalfPlane.dist_eq theorem sinh_half_dist (z w : ℍ) : sinh (dist z w / 2) = dist (z : ℂ) w / (2 * √(z.im * w.im)) := by rw [dist_eq, mul_div_cancel_left₀ (arsinh _) two_ne_zero, sinh_arsinh] #align upper_half_plane.sinh_half_dist UpperHalfPlane.sinh_half_dist theorem cosh_half_dist (z w : ℍ) : cosh (dist z w / 2) = dist (z : ℂ) (conj (w : ℂ)) / (2 * √(z.im * w.im)) := by rw [← sq_eq_sq, cosh_sq', sinh_half_dist, div_pow, div_pow, one_add_div, mul_pow, sq_sqrt] · congr 1 simp only [Complex.dist_eq, Complex.sq_abs, Complex.normSq_sub, Complex.normSq_conj, Complex.conj_conj, Complex.mul_re, Complex.conj_re, Complex.conj_im, coe_im] ring all_goals positivity #align upper_half_plane.cosh_half_dist UpperHalfPlane.cosh_half_dist theorem tanh_half_dist (z w : ℍ) : tanh (dist z w / 2) = dist (z : ℂ) w / dist (z : ℂ) (conj ↑w) := by rw [tanh_eq_sinh_div_cosh, sinh_half_dist, cosh_half_dist, div_div_div_comm, div_self, div_one] positivity #align upper_half_plane.tanh_half_dist UpperHalfPlane.tanh_half_dist theorem exp_half_dist (z w : ℍ) : exp (dist z w / 2) = (dist (z : ℂ) w + dist (z : ℂ) (conj ↑w)) / (2 * √(z.im * w.im)) := by rw [← sinh_add_cosh, sinh_half_dist, cosh_half_dist, add_div] #align upper_half_plane.exp_half_dist UpperHalfPlane.exp_half_dist
Mathlib/Analysis/Complex/UpperHalfPlane/Metric.lean
71
73
theorem cosh_dist (z w : ℍ) : cosh (dist z w) = 1 + dist (z : ℂ) w ^ 2 / (2 * z.im * w.im) := by
rw [dist_eq, cosh_two_mul, cosh_sq', add_assoc, ← two_mul, sinh_arsinh, div_pow, mul_pow, sq_sqrt, sq (2 : ℝ), mul_assoc, ← mul_div_assoc, mul_assoc, mul_div_mul_left] <;> positivity
2
7.389056
1
0.777778
9
689
import Mathlib.Analysis.Complex.UpperHalfPlane.Topology import Mathlib.Analysis.SpecialFunctions.Arsinh import Mathlib.Geometry.Euclidean.Inversion.Basic #align_import analysis.complex.upper_half_plane.metric from "leanprover-community/mathlib"@"caa58cbf5bfb7f81ccbaca4e8b8ac4bc2b39cc1c" noncomputable section open scoped UpperHalfPlane ComplexConjugate NNReal Topology MatrixGroups open Set Metric Filter Real variable {z w : ℍ} {r R : ℝ} namespace UpperHalfPlane instance : Dist ℍ := ⟨fun z w => 2 * arsinh (dist (z : ℂ) w / (2 * √(z.im * w.im)))⟩ theorem dist_eq (z w : ℍ) : dist z w = 2 * arsinh (dist (z : ℂ) w / (2 * √(z.im * w.im))) := rfl #align upper_half_plane.dist_eq UpperHalfPlane.dist_eq theorem sinh_half_dist (z w : ℍ) : sinh (dist z w / 2) = dist (z : ℂ) w / (2 * √(z.im * w.im)) := by rw [dist_eq, mul_div_cancel_left₀ (arsinh _) two_ne_zero, sinh_arsinh] #align upper_half_plane.sinh_half_dist UpperHalfPlane.sinh_half_dist theorem cosh_half_dist (z w : ℍ) : cosh (dist z w / 2) = dist (z : ℂ) (conj (w : ℂ)) / (2 * √(z.im * w.im)) := by rw [← sq_eq_sq, cosh_sq', sinh_half_dist, div_pow, div_pow, one_add_div, mul_pow, sq_sqrt] · congr 1 simp only [Complex.dist_eq, Complex.sq_abs, Complex.normSq_sub, Complex.normSq_conj, Complex.conj_conj, Complex.mul_re, Complex.conj_re, Complex.conj_im, coe_im] ring all_goals positivity #align upper_half_plane.cosh_half_dist UpperHalfPlane.cosh_half_dist theorem tanh_half_dist (z w : ℍ) : tanh (dist z w / 2) = dist (z : ℂ) w / dist (z : ℂ) (conj ↑w) := by rw [tanh_eq_sinh_div_cosh, sinh_half_dist, cosh_half_dist, div_div_div_comm, div_self, div_one] positivity #align upper_half_plane.tanh_half_dist UpperHalfPlane.tanh_half_dist theorem exp_half_dist (z w : ℍ) : exp (dist z w / 2) = (dist (z : ℂ) w + dist (z : ℂ) (conj ↑w)) / (2 * √(z.im * w.im)) := by rw [← sinh_add_cosh, sinh_half_dist, cosh_half_dist, add_div] #align upper_half_plane.exp_half_dist UpperHalfPlane.exp_half_dist theorem cosh_dist (z w : ℍ) : cosh (dist z w) = 1 + dist (z : ℂ) w ^ 2 / (2 * z.im * w.im) := by rw [dist_eq, cosh_two_mul, cosh_sq', add_assoc, ← two_mul, sinh_arsinh, div_pow, mul_pow, sq_sqrt, sq (2 : ℝ), mul_assoc, ← mul_div_assoc, mul_assoc, mul_div_mul_left] <;> positivity #align upper_half_plane.cosh_dist UpperHalfPlane.cosh_dist
Mathlib/Analysis/Complex/UpperHalfPlane/Metric.lean
76
84
theorem sinh_half_dist_add_dist (a b c : ℍ) : sinh ((dist a b + dist b c) / 2) = (dist (a : ℂ) b * dist (c : ℂ) (conj ↑b) + dist (b : ℂ) c * dist (a : ℂ) (conj ↑b)) / (2 * √(a.im * c.im) * dist (b : ℂ) (conj ↑b)) := by
simp only [add_div _ _ (2 : ℝ), sinh_add, sinh_half_dist, cosh_half_dist, div_mul_div_comm] rw [← add_div, Complex.dist_self_conj, coe_im, abs_of_pos b.im_pos, mul_comm (dist (b : ℂ) _), dist_comm (b : ℂ), Complex.dist_conj_comm, mul_mul_mul_comm, mul_mul_mul_comm _ _ _ b.im] congr 2 rw [sqrt_mul, sqrt_mul, sqrt_mul, mul_comm (√a.im), mul_mul_mul_comm, mul_self_sqrt, mul_comm] <;> exact (im_pos _).le
6
403.428793
2
0.777778
9
689
import Mathlib.Analysis.Complex.UpperHalfPlane.Topology import Mathlib.Analysis.SpecialFunctions.Arsinh import Mathlib.Geometry.Euclidean.Inversion.Basic #align_import analysis.complex.upper_half_plane.metric from "leanprover-community/mathlib"@"caa58cbf5bfb7f81ccbaca4e8b8ac4bc2b39cc1c" noncomputable section open scoped UpperHalfPlane ComplexConjugate NNReal Topology MatrixGroups open Set Metric Filter Real variable {z w : ℍ} {r R : ℝ} namespace UpperHalfPlane instance : Dist ℍ := ⟨fun z w => 2 * arsinh (dist (z : ℂ) w / (2 * √(z.im * w.im)))⟩ theorem dist_eq (z w : ℍ) : dist z w = 2 * arsinh (dist (z : ℂ) w / (2 * √(z.im * w.im))) := rfl #align upper_half_plane.dist_eq UpperHalfPlane.dist_eq theorem sinh_half_dist (z w : ℍ) : sinh (dist z w / 2) = dist (z : ℂ) w / (2 * √(z.im * w.im)) := by rw [dist_eq, mul_div_cancel_left₀ (arsinh _) two_ne_zero, sinh_arsinh] #align upper_half_plane.sinh_half_dist UpperHalfPlane.sinh_half_dist theorem cosh_half_dist (z w : ℍ) : cosh (dist z w / 2) = dist (z : ℂ) (conj (w : ℂ)) / (2 * √(z.im * w.im)) := by rw [← sq_eq_sq, cosh_sq', sinh_half_dist, div_pow, div_pow, one_add_div, mul_pow, sq_sqrt] · congr 1 simp only [Complex.dist_eq, Complex.sq_abs, Complex.normSq_sub, Complex.normSq_conj, Complex.conj_conj, Complex.mul_re, Complex.conj_re, Complex.conj_im, coe_im] ring all_goals positivity #align upper_half_plane.cosh_half_dist UpperHalfPlane.cosh_half_dist theorem tanh_half_dist (z w : ℍ) : tanh (dist z w / 2) = dist (z : ℂ) w / dist (z : ℂ) (conj ↑w) := by rw [tanh_eq_sinh_div_cosh, sinh_half_dist, cosh_half_dist, div_div_div_comm, div_self, div_one] positivity #align upper_half_plane.tanh_half_dist UpperHalfPlane.tanh_half_dist theorem exp_half_dist (z w : ℍ) : exp (dist z w / 2) = (dist (z : ℂ) w + dist (z : ℂ) (conj ↑w)) / (2 * √(z.im * w.im)) := by rw [← sinh_add_cosh, sinh_half_dist, cosh_half_dist, add_div] #align upper_half_plane.exp_half_dist UpperHalfPlane.exp_half_dist theorem cosh_dist (z w : ℍ) : cosh (dist z w) = 1 + dist (z : ℂ) w ^ 2 / (2 * z.im * w.im) := by rw [dist_eq, cosh_two_mul, cosh_sq', add_assoc, ← two_mul, sinh_arsinh, div_pow, mul_pow, sq_sqrt, sq (2 : ℝ), mul_assoc, ← mul_div_assoc, mul_assoc, mul_div_mul_left] <;> positivity #align upper_half_plane.cosh_dist UpperHalfPlane.cosh_dist theorem sinh_half_dist_add_dist (a b c : ℍ) : sinh ((dist a b + dist b c) / 2) = (dist (a : ℂ) b * dist (c : ℂ) (conj ↑b) + dist (b : ℂ) c * dist (a : ℂ) (conj ↑b)) / (2 * √(a.im * c.im) * dist (b : ℂ) (conj ↑b)) := by simp only [add_div _ _ (2 : ℝ), sinh_add, sinh_half_dist, cosh_half_dist, div_mul_div_comm] rw [← add_div, Complex.dist_self_conj, coe_im, abs_of_pos b.im_pos, mul_comm (dist (b : ℂ) _), dist_comm (b : ℂ), Complex.dist_conj_comm, mul_mul_mul_comm, mul_mul_mul_comm _ _ _ b.im] congr 2 rw [sqrt_mul, sqrt_mul, sqrt_mul, mul_comm (√a.im), mul_mul_mul_comm, mul_self_sqrt, mul_comm] <;> exact (im_pos _).le #align upper_half_plane.sinh_half_dist_add_dist UpperHalfPlane.sinh_half_dist_add_dist protected theorem dist_comm (z w : ℍ) : dist z w = dist w z := by simp only [dist_eq, dist_comm (z : ℂ), mul_comm] #align upper_half_plane.dist_comm UpperHalfPlane.dist_comm
Mathlib/Analysis/Complex/UpperHalfPlane/Metric.lean
91
93
theorem dist_le_iff_le_sinh : dist z w ≤ r ↔ dist (z : ℂ) w / (2 * √(z.im * w.im)) ≤ sinh (r / 2) := by
rw [← div_le_div_right (zero_lt_two' ℝ), ← sinh_le_sinh, sinh_half_dist]
1
2.718282
0
0.777778
9
689
import Mathlib.Analysis.Complex.UpperHalfPlane.Topology import Mathlib.Analysis.SpecialFunctions.Arsinh import Mathlib.Geometry.Euclidean.Inversion.Basic #align_import analysis.complex.upper_half_plane.metric from "leanprover-community/mathlib"@"caa58cbf5bfb7f81ccbaca4e8b8ac4bc2b39cc1c" noncomputable section open scoped UpperHalfPlane ComplexConjugate NNReal Topology MatrixGroups open Set Metric Filter Real variable {z w : ℍ} {r R : ℝ} namespace UpperHalfPlane instance : Dist ℍ := ⟨fun z w => 2 * arsinh (dist (z : ℂ) w / (2 * √(z.im * w.im)))⟩ theorem dist_eq (z w : ℍ) : dist z w = 2 * arsinh (dist (z : ℂ) w / (2 * √(z.im * w.im))) := rfl #align upper_half_plane.dist_eq UpperHalfPlane.dist_eq theorem sinh_half_dist (z w : ℍ) : sinh (dist z w / 2) = dist (z : ℂ) w / (2 * √(z.im * w.im)) := by rw [dist_eq, mul_div_cancel_left₀ (arsinh _) two_ne_zero, sinh_arsinh] #align upper_half_plane.sinh_half_dist UpperHalfPlane.sinh_half_dist theorem cosh_half_dist (z w : ℍ) : cosh (dist z w / 2) = dist (z : ℂ) (conj (w : ℂ)) / (2 * √(z.im * w.im)) := by rw [← sq_eq_sq, cosh_sq', sinh_half_dist, div_pow, div_pow, one_add_div, mul_pow, sq_sqrt] · congr 1 simp only [Complex.dist_eq, Complex.sq_abs, Complex.normSq_sub, Complex.normSq_conj, Complex.conj_conj, Complex.mul_re, Complex.conj_re, Complex.conj_im, coe_im] ring all_goals positivity #align upper_half_plane.cosh_half_dist UpperHalfPlane.cosh_half_dist theorem tanh_half_dist (z w : ℍ) : tanh (dist z w / 2) = dist (z : ℂ) w / dist (z : ℂ) (conj ↑w) := by rw [tanh_eq_sinh_div_cosh, sinh_half_dist, cosh_half_dist, div_div_div_comm, div_self, div_one] positivity #align upper_half_plane.tanh_half_dist UpperHalfPlane.tanh_half_dist theorem exp_half_dist (z w : ℍ) : exp (dist z w / 2) = (dist (z : ℂ) w + dist (z : ℂ) (conj ↑w)) / (2 * √(z.im * w.im)) := by rw [← sinh_add_cosh, sinh_half_dist, cosh_half_dist, add_div] #align upper_half_plane.exp_half_dist UpperHalfPlane.exp_half_dist theorem cosh_dist (z w : ℍ) : cosh (dist z w) = 1 + dist (z : ℂ) w ^ 2 / (2 * z.im * w.im) := by rw [dist_eq, cosh_two_mul, cosh_sq', add_assoc, ← two_mul, sinh_arsinh, div_pow, mul_pow, sq_sqrt, sq (2 : ℝ), mul_assoc, ← mul_div_assoc, mul_assoc, mul_div_mul_left] <;> positivity #align upper_half_plane.cosh_dist UpperHalfPlane.cosh_dist theorem sinh_half_dist_add_dist (a b c : ℍ) : sinh ((dist a b + dist b c) / 2) = (dist (a : ℂ) b * dist (c : ℂ) (conj ↑b) + dist (b : ℂ) c * dist (a : ℂ) (conj ↑b)) / (2 * √(a.im * c.im) * dist (b : ℂ) (conj ↑b)) := by simp only [add_div _ _ (2 : ℝ), sinh_add, sinh_half_dist, cosh_half_dist, div_mul_div_comm] rw [← add_div, Complex.dist_self_conj, coe_im, abs_of_pos b.im_pos, mul_comm (dist (b : ℂ) _), dist_comm (b : ℂ), Complex.dist_conj_comm, mul_mul_mul_comm, mul_mul_mul_comm _ _ _ b.im] congr 2 rw [sqrt_mul, sqrt_mul, sqrt_mul, mul_comm (√a.im), mul_mul_mul_comm, mul_self_sqrt, mul_comm] <;> exact (im_pos _).le #align upper_half_plane.sinh_half_dist_add_dist UpperHalfPlane.sinh_half_dist_add_dist protected theorem dist_comm (z w : ℍ) : dist z w = dist w z := by simp only [dist_eq, dist_comm (z : ℂ), mul_comm] #align upper_half_plane.dist_comm UpperHalfPlane.dist_comm theorem dist_le_iff_le_sinh : dist z w ≤ r ↔ dist (z : ℂ) w / (2 * √(z.im * w.im)) ≤ sinh (r / 2) := by rw [← div_le_div_right (zero_lt_two' ℝ), ← sinh_le_sinh, sinh_half_dist] #align upper_half_plane.dist_le_iff_le_sinh UpperHalfPlane.dist_le_iff_le_sinh
Mathlib/Analysis/Complex/UpperHalfPlane/Metric.lean
96
98
theorem dist_eq_iff_eq_sinh : dist z w = r ↔ dist (z : ℂ) w / (2 * √(z.im * w.im)) = sinh (r / 2) := by
rw [← div_left_inj' (two_ne_zero' ℝ), ← sinh_inj, sinh_half_dist]
1
2.718282
0
0.777778
9
689
import Mathlib.Analysis.Complex.UpperHalfPlane.Topology import Mathlib.Analysis.SpecialFunctions.Arsinh import Mathlib.Geometry.Euclidean.Inversion.Basic #align_import analysis.complex.upper_half_plane.metric from "leanprover-community/mathlib"@"caa58cbf5bfb7f81ccbaca4e8b8ac4bc2b39cc1c" noncomputable section open scoped UpperHalfPlane ComplexConjugate NNReal Topology MatrixGroups open Set Metric Filter Real variable {z w : ℍ} {r R : ℝ} namespace UpperHalfPlane instance : Dist ℍ := ⟨fun z w => 2 * arsinh (dist (z : ℂ) w / (2 * √(z.im * w.im)))⟩ theorem dist_eq (z w : ℍ) : dist z w = 2 * arsinh (dist (z : ℂ) w / (2 * √(z.im * w.im))) := rfl #align upper_half_plane.dist_eq UpperHalfPlane.dist_eq theorem sinh_half_dist (z w : ℍ) : sinh (dist z w / 2) = dist (z : ℂ) w / (2 * √(z.im * w.im)) := by rw [dist_eq, mul_div_cancel_left₀ (arsinh _) two_ne_zero, sinh_arsinh] #align upper_half_plane.sinh_half_dist UpperHalfPlane.sinh_half_dist theorem cosh_half_dist (z w : ℍ) : cosh (dist z w / 2) = dist (z : ℂ) (conj (w : ℂ)) / (2 * √(z.im * w.im)) := by rw [← sq_eq_sq, cosh_sq', sinh_half_dist, div_pow, div_pow, one_add_div, mul_pow, sq_sqrt] · congr 1 simp only [Complex.dist_eq, Complex.sq_abs, Complex.normSq_sub, Complex.normSq_conj, Complex.conj_conj, Complex.mul_re, Complex.conj_re, Complex.conj_im, coe_im] ring all_goals positivity #align upper_half_plane.cosh_half_dist UpperHalfPlane.cosh_half_dist theorem tanh_half_dist (z w : ℍ) : tanh (dist z w / 2) = dist (z : ℂ) w / dist (z : ℂ) (conj ↑w) := by rw [tanh_eq_sinh_div_cosh, sinh_half_dist, cosh_half_dist, div_div_div_comm, div_self, div_one] positivity #align upper_half_plane.tanh_half_dist UpperHalfPlane.tanh_half_dist theorem exp_half_dist (z w : ℍ) : exp (dist z w / 2) = (dist (z : ℂ) w + dist (z : ℂ) (conj ↑w)) / (2 * √(z.im * w.im)) := by rw [← sinh_add_cosh, sinh_half_dist, cosh_half_dist, add_div] #align upper_half_plane.exp_half_dist UpperHalfPlane.exp_half_dist theorem cosh_dist (z w : ℍ) : cosh (dist z w) = 1 + dist (z : ℂ) w ^ 2 / (2 * z.im * w.im) := by rw [dist_eq, cosh_two_mul, cosh_sq', add_assoc, ← two_mul, sinh_arsinh, div_pow, mul_pow, sq_sqrt, sq (2 : ℝ), mul_assoc, ← mul_div_assoc, mul_assoc, mul_div_mul_left] <;> positivity #align upper_half_plane.cosh_dist UpperHalfPlane.cosh_dist theorem sinh_half_dist_add_dist (a b c : ℍ) : sinh ((dist a b + dist b c) / 2) = (dist (a : ℂ) b * dist (c : ℂ) (conj ↑b) + dist (b : ℂ) c * dist (a : ℂ) (conj ↑b)) / (2 * √(a.im * c.im) * dist (b : ℂ) (conj ↑b)) := by simp only [add_div _ _ (2 : ℝ), sinh_add, sinh_half_dist, cosh_half_dist, div_mul_div_comm] rw [← add_div, Complex.dist_self_conj, coe_im, abs_of_pos b.im_pos, mul_comm (dist (b : ℂ) _), dist_comm (b : ℂ), Complex.dist_conj_comm, mul_mul_mul_comm, mul_mul_mul_comm _ _ _ b.im] congr 2 rw [sqrt_mul, sqrt_mul, sqrt_mul, mul_comm (√a.im), mul_mul_mul_comm, mul_self_sqrt, mul_comm] <;> exact (im_pos _).le #align upper_half_plane.sinh_half_dist_add_dist UpperHalfPlane.sinh_half_dist_add_dist protected theorem dist_comm (z w : ℍ) : dist z w = dist w z := by simp only [dist_eq, dist_comm (z : ℂ), mul_comm] #align upper_half_plane.dist_comm UpperHalfPlane.dist_comm theorem dist_le_iff_le_sinh : dist z w ≤ r ↔ dist (z : ℂ) w / (2 * √(z.im * w.im)) ≤ sinh (r / 2) := by rw [← div_le_div_right (zero_lt_two' ℝ), ← sinh_le_sinh, sinh_half_dist] #align upper_half_plane.dist_le_iff_le_sinh UpperHalfPlane.dist_le_iff_le_sinh theorem dist_eq_iff_eq_sinh : dist z w = r ↔ dist (z : ℂ) w / (2 * √(z.im * w.im)) = sinh (r / 2) := by rw [← div_left_inj' (two_ne_zero' ℝ), ← sinh_inj, sinh_half_dist] #align upper_half_plane.dist_eq_iff_eq_sinh UpperHalfPlane.dist_eq_iff_eq_sinh
Mathlib/Analysis/Complex/UpperHalfPlane/Metric.lean
101
105
theorem dist_eq_iff_eq_sq_sinh (hr : 0 ≤ r) : dist z w = r ↔ dist (z : ℂ) w ^ 2 / (4 * z.im * w.im) = sinh (r / 2) ^ 2 := by
rw [dist_eq_iff_eq_sinh, ← sq_eq_sq, div_pow, mul_pow, sq_sqrt, mul_assoc] · norm_num all_goals positivity
3
20.085537
1
0.777778
9
689
import Mathlib.Algebra.Order.BigOperators.Ring.Finset import Mathlib.Analysis.Convex.Hull import Mathlib.LinearAlgebra.AffineSpace.Basis #align_import analysis.convex.combination from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d" open Set Function open scoped Classical open Pointwise universe u u' variable {R R' E F ι ι' α : Type*} [LinearOrderedField R] [LinearOrderedField R'] [AddCommGroup E] [AddCommGroup F] [LinearOrderedAddCommGroup α] [Module R E] [Module R F] [Module R α] [OrderedSMul R α] {s : Set E} def Finset.centerMass (t : Finset ι) (w : ι → R) (z : ι → E) : E := (∑ i ∈ t, w i)⁻¹ • ∑ i ∈ t, w i • z i #align finset.center_mass Finset.centerMass variable (i j : ι) (c : R) (t : Finset ι) (w : ι → R) (z : ι → E) open Finset
Mathlib/Analysis/Convex/Combination.lean
50
51
theorem Finset.centerMass_empty : (∅ : Finset ι).centerMass w z = 0 := by
simp only [centerMass, sum_empty, smul_zero]
1
2.718282
0
0.777778
9
690
import Mathlib.Algebra.Order.BigOperators.Ring.Finset import Mathlib.Analysis.Convex.Hull import Mathlib.LinearAlgebra.AffineSpace.Basis #align_import analysis.convex.combination from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d" open Set Function open scoped Classical open Pointwise universe u u' variable {R R' E F ι ι' α : Type*} [LinearOrderedField R] [LinearOrderedField R'] [AddCommGroup E] [AddCommGroup F] [LinearOrderedAddCommGroup α] [Module R E] [Module R F] [Module R α] [OrderedSMul R α] {s : Set E} def Finset.centerMass (t : Finset ι) (w : ι → R) (z : ι → E) : E := (∑ i ∈ t, w i)⁻¹ • ∑ i ∈ t, w i • z i #align finset.center_mass Finset.centerMass variable (i j : ι) (c : R) (t : Finset ι) (w : ι → R) (z : ι → E) open Finset theorem Finset.centerMass_empty : (∅ : Finset ι).centerMass w z = 0 := by simp only [centerMass, sum_empty, smul_zero] #align finset.center_mass_empty Finset.centerMass_empty
Mathlib/Analysis/Convex/Combination.lean
54
56
theorem Finset.centerMass_pair (hne : i ≠ j) : ({i, j} : Finset ι).centerMass w z = (w i / (w i + w j)) • z i + (w j / (w i + w j)) • z j := by
simp only [centerMass, sum_pair hne, smul_add, (mul_smul _ _ _).symm, div_eq_inv_mul]
1
2.718282
0
0.777778
9
690
import Mathlib.Algebra.Order.BigOperators.Ring.Finset import Mathlib.Analysis.Convex.Hull import Mathlib.LinearAlgebra.AffineSpace.Basis #align_import analysis.convex.combination from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d" open Set Function open scoped Classical open Pointwise universe u u' variable {R R' E F ι ι' α : Type*} [LinearOrderedField R] [LinearOrderedField R'] [AddCommGroup E] [AddCommGroup F] [LinearOrderedAddCommGroup α] [Module R E] [Module R F] [Module R α] [OrderedSMul R α] {s : Set E} def Finset.centerMass (t : Finset ι) (w : ι → R) (z : ι → E) : E := (∑ i ∈ t, w i)⁻¹ • ∑ i ∈ t, w i • z i #align finset.center_mass Finset.centerMass variable (i j : ι) (c : R) (t : Finset ι) (w : ι → R) (z : ι → E) open Finset theorem Finset.centerMass_empty : (∅ : Finset ι).centerMass w z = 0 := by simp only [centerMass, sum_empty, smul_zero] #align finset.center_mass_empty Finset.centerMass_empty theorem Finset.centerMass_pair (hne : i ≠ j) : ({i, j} : Finset ι).centerMass w z = (w i / (w i + w j)) • z i + (w j / (w i + w j)) • z j := by simp only [centerMass, sum_pair hne, smul_add, (mul_smul _ _ _).symm, div_eq_inv_mul] #align finset.center_mass_pair Finset.centerMass_pair variable {w}
Mathlib/Analysis/Convex/Combination.lean
61
67
theorem Finset.centerMass_insert (ha : i ∉ t) (hw : ∑ j ∈ t, w j ≠ 0) : (insert i t).centerMass w z = (w i / (w i + ∑ j ∈ t, w j)) • z i + ((∑ j ∈ t, w j) / (w i + ∑ j ∈ t, w j)) • t.centerMass w z := by
simp only [centerMass, sum_insert ha, smul_add, (mul_smul _ _ _).symm, ← div_eq_inv_mul] congr 2 rw [div_mul_eq_mul_div, mul_inv_cancel hw, one_div]
3
20.085537
1
0.777778
9
690
import Mathlib.Algebra.Order.BigOperators.Ring.Finset import Mathlib.Analysis.Convex.Hull import Mathlib.LinearAlgebra.AffineSpace.Basis #align_import analysis.convex.combination from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d" open Set Function open scoped Classical open Pointwise universe u u' variable {R R' E F ι ι' α : Type*} [LinearOrderedField R] [LinearOrderedField R'] [AddCommGroup E] [AddCommGroup F] [LinearOrderedAddCommGroup α] [Module R E] [Module R F] [Module R α] [OrderedSMul R α] {s : Set E} def Finset.centerMass (t : Finset ι) (w : ι → R) (z : ι → E) : E := (∑ i ∈ t, w i)⁻¹ • ∑ i ∈ t, w i • z i #align finset.center_mass Finset.centerMass variable (i j : ι) (c : R) (t : Finset ι) (w : ι → R) (z : ι → E) open Finset theorem Finset.centerMass_empty : (∅ : Finset ι).centerMass w z = 0 := by simp only [centerMass, sum_empty, smul_zero] #align finset.center_mass_empty Finset.centerMass_empty theorem Finset.centerMass_pair (hne : i ≠ j) : ({i, j} : Finset ι).centerMass w z = (w i / (w i + w j)) • z i + (w j / (w i + w j)) • z j := by simp only [centerMass, sum_pair hne, smul_add, (mul_smul _ _ _).symm, div_eq_inv_mul] #align finset.center_mass_pair Finset.centerMass_pair variable {w} theorem Finset.centerMass_insert (ha : i ∉ t) (hw : ∑ j ∈ t, w j ≠ 0) : (insert i t).centerMass w z = (w i / (w i + ∑ j ∈ t, w j)) • z i + ((∑ j ∈ t, w j) / (w i + ∑ j ∈ t, w j)) • t.centerMass w z := by simp only [centerMass, sum_insert ha, smul_add, (mul_smul _ _ _).symm, ← div_eq_inv_mul] congr 2 rw [div_mul_eq_mul_div, mul_inv_cancel hw, one_div] #align finset.center_mass_insert Finset.centerMass_insert
Mathlib/Analysis/Convex/Combination.lean
70
71
theorem Finset.centerMass_singleton (hw : w i ≠ 0) : ({i} : Finset ι).centerMass w z = z i := by
rw [centerMass, sum_singleton, sum_singleton, ← mul_smul, inv_mul_cancel hw, one_smul]
1
2.718282
0
0.777778
9
690
import Mathlib.Algebra.Order.BigOperators.Ring.Finset import Mathlib.Analysis.Convex.Hull import Mathlib.LinearAlgebra.AffineSpace.Basis #align_import analysis.convex.combination from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d" open Set Function open scoped Classical open Pointwise universe u u' variable {R R' E F ι ι' α : Type*} [LinearOrderedField R] [LinearOrderedField R'] [AddCommGroup E] [AddCommGroup F] [LinearOrderedAddCommGroup α] [Module R E] [Module R F] [Module R α] [OrderedSMul R α] {s : Set E} def Finset.centerMass (t : Finset ι) (w : ι → R) (z : ι → E) : E := (∑ i ∈ t, w i)⁻¹ • ∑ i ∈ t, w i • z i #align finset.center_mass Finset.centerMass variable (i j : ι) (c : R) (t : Finset ι) (w : ι → R) (z : ι → E) open Finset theorem Finset.centerMass_empty : (∅ : Finset ι).centerMass w z = 0 := by simp only [centerMass, sum_empty, smul_zero] #align finset.center_mass_empty Finset.centerMass_empty theorem Finset.centerMass_pair (hne : i ≠ j) : ({i, j} : Finset ι).centerMass w z = (w i / (w i + w j)) • z i + (w j / (w i + w j)) • z j := by simp only [centerMass, sum_pair hne, smul_add, (mul_smul _ _ _).symm, div_eq_inv_mul] #align finset.center_mass_pair Finset.centerMass_pair variable {w} theorem Finset.centerMass_insert (ha : i ∉ t) (hw : ∑ j ∈ t, w j ≠ 0) : (insert i t).centerMass w z = (w i / (w i + ∑ j ∈ t, w j)) • z i + ((∑ j ∈ t, w j) / (w i + ∑ j ∈ t, w j)) • t.centerMass w z := by simp only [centerMass, sum_insert ha, smul_add, (mul_smul _ _ _).symm, ← div_eq_inv_mul] congr 2 rw [div_mul_eq_mul_div, mul_inv_cancel hw, one_div] #align finset.center_mass_insert Finset.centerMass_insert theorem Finset.centerMass_singleton (hw : w i ≠ 0) : ({i} : Finset ι).centerMass w z = z i := by rw [centerMass, sum_singleton, sum_singleton, ← mul_smul, inv_mul_cancel hw, one_smul] #align finset.center_mass_singleton Finset.centerMass_singleton @[simp] lemma Finset.centerMass_neg_left : t.centerMass (-w) z = t.centerMass w z := by simp [centerMass, inv_neg] lemma Finset.centerMass_smul_left {c : R'} [Module R' R] [Module R' E] [SMulCommClass R' R R] [IsScalarTower R' R R] [SMulCommClass R R' E] [IsScalarTower R' R E] (hc : c ≠ 0) : t.centerMass (c • w) z = t.centerMass w z := by simp [centerMass, -smul_assoc, smul_assoc c, ← smul_sum, smul_inv₀, smul_smul_smul_comm, hc]
Mathlib/Analysis/Convex/Combination.lean
82
84
theorem Finset.centerMass_eq_of_sum_1 (hw : ∑ i ∈ t, w i = 1) : t.centerMass w z = ∑ i ∈ t, w i • z i := by
simp only [Finset.centerMass, hw, inv_one, one_smul]
1
2.718282
0
0.777778
9
690
import Mathlib.Algebra.Order.BigOperators.Ring.Finset import Mathlib.Analysis.Convex.Hull import Mathlib.LinearAlgebra.AffineSpace.Basis #align_import analysis.convex.combination from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d" open Set Function open scoped Classical open Pointwise universe u u' variable {R R' E F ι ι' α : Type*} [LinearOrderedField R] [LinearOrderedField R'] [AddCommGroup E] [AddCommGroup F] [LinearOrderedAddCommGroup α] [Module R E] [Module R F] [Module R α] [OrderedSMul R α] {s : Set E} def Finset.centerMass (t : Finset ι) (w : ι → R) (z : ι → E) : E := (∑ i ∈ t, w i)⁻¹ • ∑ i ∈ t, w i • z i #align finset.center_mass Finset.centerMass variable (i j : ι) (c : R) (t : Finset ι) (w : ι → R) (z : ι → E) open Finset theorem Finset.centerMass_empty : (∅ : Finset ι).centerMass w z = 0 := by simp only [centerMass, sum_empty, smul_zero] #align finset.center_mass_empty Finset.centerMass_empty theorem Finset.centerMass_pair (hne : i ≠ j) : ({i, j} : Finset ι).centerMass w z = (w i / (w i + w j)) • z i + (w j / (w i + w j)) • z j := by simp only [centerMass, sum_pair hne, smul_add, (mul_smul _ _ _).symm, div_eq_inv_mul] #align finset.center_mass_pair Finset.centerMass_pair variable {w} theorem Finset.centerMass_insert (ha : i ∉ t) (hw : ∑ j ∈ t, w j ≠ 0) : (insert i t).centerMass w z = (w i / (w i + ∑ j ∈ t, w j)) • z i + ((∑ j ∈ t, w j) / (w i + ∑ j ∈ t, w j)) • t.centerMass w z := by simp only [centerMass, sum_insert ha, smul_add, (mul_smul _ _ _).symm, ← div_eq_inv_mul] congr 2 rw [div_mul_eq_mul_div, mul_inv_cancel hw, one_div] #align finset.center_mass_insert Finset.centerMass_insert theorem Finset.centerMass_singleton (hw : w i ≠ 0) : ({i} : Finset ι).centerMass w z = z i := by rw [centerMass, sum_singleton, sum_singleton, ← mul_smul, inv_mul_cancel hw, one_smul] #align finset.center_mass_singleton Finset.centerMass_singleton @[simp] lemma Finset.centerMass_neg_left : t.centerMass (-w) z = t.centerMass w z := by simp [centerMass, inv_neg] lemma Finset.centerMass_smul_left {c : R'} [Module R' R] [Module R' E] [SMulCommClass R' R R] [IsScalarTower R' R R] [SMulCommClass R R' E] [IsScalarTower R' R E] (hc : c ≠ 0) : t.centerMass (c • w) z = t.centerMass w z := by simp [centerMass, -smul_assoc, smul_assoc c, ← smul_sum, smul_inv₀, smul_smul_smul_comm, hc] theorem Finset.centerMass_eq_of_sum_1 (hw : ∑ i ∈ t, w i = 1) : t.centerMass w z = ∑ i ∈ t, w i • z i := by simp only [Finset.centerMass, hw, inv_one, one_smul] #align finset.center_mass_eq_of_sum_1 Finset.centerMass_eq_of_sum_1
Mathlib/Analysis/Convex/Combination.lean
87
88
theorem Finset.centerMass_smul : (t.centerMass w fun i => c • z i) = c • t.centerMass w z := by
simp only [Finset.centerMass, Finset.smul_sum, (mul_smul _ _ _).symm, mul_comm c, mul_assoc]
1
2.718282
0
0.777778
9
690
import Mathlib.Algebra.Order.BigOperators.Ring.Finset import Mathlib.Analysis.Convex.Hull import Mathlib.LinearAlgebra.AffineSpace.Basis #align_import analysis.convex.combination from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d" open Set Function open scoped Classical open Pointwise universe u u' variable {R R' E F ι ι' α : Type*} [LinearOrderedField R] [LinearOrderedField R'] [AddCommGroup E] [AddCommGroup F] [LinearOrderedAddCommGroup α] [Module R E] [Module R F] [Module R α] [OrderedSMul R α] {s : Set E} def Finset.centerMass (t : Finset ι) (w : ι → R) (z : ι → E) : E := (∑ i ∈ t, w i)⁻¹ • ∑ i ∈ t, w i • z i #align finset.center_mass Finset.centerMass variable (i j : ι) (c : R) (t : Finset ι) (w : ι → R) (z : ι → E) open Finset theorem Finset.centerMass_empty : (∅ : Finset ι).centerMass w z = 0 := by simp only [centerMass, sum_empty, smul_zero] #align finset.center_mass_empty Finset.centerMass_empty theorem Finset.centerMass_pair (hne : i ≠ j) : ({i, j} : Finset ι).centerMass w z = (w i / (w i + w j)) • z i + (w j / (w i + w j)) • z j := by simp only [centerMass, sum_pair hne, smul_add, (mul_smul _ _ _).symm, div_eq_inv_mul] #align finset.center_mass_pair Finset.centerMass_pair variable {w} theorem Finset.centerMass_insert (ha : i ∉ t) (hw : ∑ j ∈ t, w j ≠ 0) : (insert i t).centerMass w z = (w i / (w i + ∑ j ∈ t, w j)) • z i + ((∑ j ∈ t, w j) / (w i + ∑ j ∈ t, w j)) • t.centerMass w z := by simp only [centerMass, sum_insert ha, smul_add, (mul_smul _ _ _).symm, ← div_eq_inv_mul] congr 2 rw [div_mul_eq_mul_div, mul_inv_cancel hw, one_div] #align finset.center_mass_insert Finset.centerMass_insert theorem Finset.centerMass_singleton (hw : w i ≠ 0) : ({i} : Finset ι).centerMass w z = z i := by rw [centerMass, sum_singleton, sum_singleton, ← mul_smul, inv_mul_cancel hw, one_smul] #align finset.center_mass_singleton Finset.centerMass_singleton @[simp] lemma Finset.centerMass_neg_left : t.centerMass (-w) z = t.centerMass w z := by simp [centerMass, inv_neg] lemma Finset.centerMass_smul_left {c : R'} [Module R' R] [Module R' E] [SMulCommClass R' R R] [IsScalarTower R' R R] [SMulCommClass R R' E] [IsScalarTower R' R E] (hc : c ≠ 0) : t.centerMass (c • w) z = t.centerMass w z := by simp [centerMass, -smul_assoc, smul_assoc c, ← smul_sum, smul_inv₀, smul_smul_smul_comm, hc] theorem Finset.centerMass_eq_of_sum_1 (hw : ∑ i ∈ t, w i = 1) : t.centerMass w z = ∑ i ∈ t, w i • z i := by simp only [Finset.centerMass, hw, inv_one, one_smul] #align finset.center_mass_eq_of_sum_1 Finset.centerMass_eq_of_sum_1 theorem Finset.centerMass_smul : (t.centerMass w fun i => c • z i) = c • t.centerMass w z := by simp only [Finset.centerMass, Finset.smul_sum, (mul_smul _ _ _).symm, mul_comm c, mul_assoc] #align finset.center_mass_smul Finset.centerMass_smul
Mathlib/Analysis/Convex/Combination.lean
93
100
theorem Finset.centerMass_segment' (s : Finset ι) (t : Finset ι') (ws : ι → R) (zs : ι → E) (wt : ι' → R) (zt : ι' → E) (hws : ∑ i ∈ s, ws i = 1) (hwt : ∑ i ∈ t, wt i = 1) (a b : R) (hab : a + b = 1) : a • s.centerMass ws zs + b • t.centerMass wt zt = (s.disjSum t).centerMass (Sum.elim (fun i => a * ws i) fun j => b * wt j) (Sum.elim zs zt) := by
rw [s.centerMass_eq_of_sum_1 _ hws, t.centerMass_eq_of_sum_1 _ hwt, smul_sum, smul_sum, ← Finset.sum_sum_elim, Finset.centerMass_eq_of_sum_1] · congr with ⟨⟩ <;> simp only [Sum.elim_inl, Sum.elim_inr, mul_smul] · rw [sum_sum_elim, ← mul_sum, ← mul_sum, hws, hwt, mul_one, mul_one, hab]
4
54.59815
2
0.777778
9
690
import Mathlib.Algebra.Order.BigOperators.Ring.Finset import Mathlib.Analysis.Convex.Hull import Mathlib.LinearAlgebra.AffineSpace.Basis #align_import analysis.convex.combination from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d" open Set Function open scoped Classical open Pointwise universe u u' variable {R R' E F ι ι' α : Type*} [LinearOrderedField R] [LinearOrderedField R'] [AddCommGroup E] [AddCommGroup F] [LinearOrderedAddCommGroup α] [Module R E] [Module R F] [Module R α] [OrderedSMul R α] {s : Set E} def Finset.centerMass (t : Finset ι) (w : ι → R) (z : ι → E) : E := (∑ i ∈ t, w i)⁻¹ • ∑ i ∈ t, w i • z i #align finset.center_mass Finset.centerMass variable (i j : ι) (c : R) (t : Finset ι) (w : ι → R) (z : ι → E) open Finset theorem Finset.centerMass_empty : (∅ : Finset ι).centerMass w z = 0 := by simp only [centerMass, sum_empty, smul_zero] #align finset.center_mass_empty Finset.centerMass_empty theorem Finset.centerMass_pair (hne : i ≠ j) : ({i, j} : Finset ι).centerMass w z = (w i / (w i + w j)) • z i + (w j / (w i + w j)) • z j := by simp only [centerMass, sum_pair hne, smul_add, (mul_smul _ _ _).symm, div_eq_inv_mul] #align finset.center_mass_pair Finset.centerMass_pair variable {w} theorem Finset.centerMass_insert (ha : i ∉ t) (hw : ∑ j ∈ t, w j ≠ 0) : (insert i t).centerMass w z = (w i / (w i + ∑ j ∈ t, w j)) • z i + ((∑ j ∈ t, w j) / (w i + ∑ j ∈ t, w j)) • t.centerMass w z := by simp only [centerMass, sum_insert ha, smul_add, (mul_smul _ _ _).symm, ← div_eq_inv_mul] congr 2 rw [div_mul_eq_mul_div, mul_inv_cancel hw, one_div] #align finset.center_mass_insert Finset.centerMass_insert theorem Finset.centerMass_singleton (hw : w i ≠ 0) : ({i} : Finset ι).centerMass w z = z i := by rw [centerMass, sum_singleton, sum_singleton, ← mul_smul, inv_mul_cancel hw, one_smul] #align finset.center_mass_singleton Finset.centerMass_singleton @[simp] lemma Finset.centerMass_neg_left : t.centerMass (-w) z = t.centerMass w z := by simp [centerMass, inv_neg] lemma Finset.centerMass_smul_left {c : R'} [Module R' R] [Module R' E] [SMulCommClass R' R R] [IsScalarTower R' R R] [SMulCommClass R R' E] [IsScalarTower R' R E] (hc : c ≠ 0) : t.centerMass (c • w) z = t.centerMass w z := by simp [centerMass, -smul_assoc, smul_assoc c, ← smul_sum, smul_inv₀, smul_smul_smul_comm, hc] theorem Finset.centerMass_eq_of_sum_1 (hw : ∑ i ∈ t, w i = 1) : t.centerMass w z = ∑ i ∈ t, w i • z i := by simp only [Finset.centerMass, hw, inv_one, one_smul] #align finset.center_mass_eq_of_sum_1 Finset.centerMass_eq_of_sum_1 theorem Finset.centerMass_smul : (t.centerMass w fun i => c • z i) = c • t.centerMass w z := by simp only [Finset.centerMass, Finset.smul_sum, (mul_smul _ _ _).symm, mul_comm c, mul_assoc] #align finset.center_mass_smul Finset.centerMass_smul theorem Finset.centerMass_segment' (s : Finset ι) (t : Finset ι') (ws : ι → R) (zs : ι → E) (wt : ι' → R) (zt : ι' → E) (hws : ∑ i ∈ s, ws i = 1) (hwt : ∑ i ∈ t, wt i = 1) (a b : R) (hab : a + b = 1) : a • s.centerMass ws zs + b • t.centerMass wt zt = (s.disjSum t).centerMass (Sum.elim (fun i => a * ws i) fun j => b * wt j) (Sum.elim zs zt) := by rw [s.centerMass_eq_of_sum_1 _ hws, t.centerMass_eq_of_sum_1 _ hwt, smul_sum, smul_sum, ← Finset.sum_sum_elim, Finset.centerMass_eq_of_sum_1] · congr with ⟨⟩ <;> simp only [Sum.elim_inl, Sum.elim_inr, mul_smul] · rw [sum_sum_elim, ← mul_sum, ← mul_sum, hws, hwt, mul_one, mul_one, hab] #align finset.center_mass_segment' Finset.centerMass_segment'
Mathlib/Analysis/Convex/Combination.lean
105
112
theorem Finset.centerMass_segment (s : Finset ι) (w₁ w₂ : ι → R) (z : ι → E) (hw₁ : ∑ i ∈ s, w₁ i = 1) (hw₂ : ∑ i ∈ s, w₂ i = 1) (a b : R) (hab : a + b = 1) : a • s.centerMass w₁ z + b • s.centerMass w₂ z = s.centerMass (fun i => a * w₁ i + b * w₂ i) z := by
have hw : (∑ i ∈ s, (a * w₁ i + b * w₂ i)) = 1 := by simp only [← mul_sum, sum_add_distrib, mul_one, *] simp only [Finset.centerMass_eq_of_sum_1, Finset.centerMass_eq_of_sum_1 _ _ hw, smul_sum, sum_add_distrib, add_smul, mul_smul, *]
4
54.59815
2
0.777778
9
690
import Mathlib.Algebra.Order.BigOperators.Ring.Finset import Mathlib.Analysis.Convex.Hull import Mathlib.LinearAlgebra.AffineSpace.Basis #align_import analysis.convex.combination from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d" open Set Function open scoped Classical open Pointwise universe u u' variable {R R' E F ι ι' α : Type*} [LinearOrderedField R] [LinearOrderedField R'] [AddCommGroup E] [AddCommGroup F] [LinearOrderedAddCommGroup α] [Module R E] [Module R F] [Module R α] [OrderedSMul R α] {s : Set E} def Finset.centerMass (t : Finset ι) (w : ι → R) (z : ι → E) : E := (∑ i ∈ t, w i)⁻¹ • ∑ i ∈ t, w i • z i #align finset.center_mass Finset.centerMass variable (i j : ι) (c : R) (t : Finset ι) (w : ι → R) (z : ι → E) open Finset theorem Finset.centerMass_empty : (∅ : Finset ι).centerMass w z = 0 := by simp only [centerMass, sum_empty, smul_zero] #align finset.center_mass_empty Finset.centerMass_empty theorem Finset.centerMass_pair (hne : i ≠ j) : ({i, j} : Finset ι).centerMass w z = (w i / (w i + w j)) • z i + (w j / (w i + w j)) • z j := by simp only [centerMass, sum_pair hne, smul_add, (mul_smul _ _ _).symm, div_eq_inv_mul] #align finset.center_mass_pair Finset.centerMass_pair variable {w} theorem Finset.centerMass_insert (ha : i ∉ t) (hw : ∑ j ∈ t, w j ≠ 0) : (insert i t).centerMass w z = (w i / (w i + ∑ j ∈ t, w j)) • z i + ((∑ j ∈ t, w j) / (w i + ∑ j ∈ t, w j)) • t.centerMass w z := by simp only [centerMass, sum_insert ha, smul_add, (mul_smul _ _ _).symm, ← div_eq_inv_mul] congr 2 rw [div_mul_eq_mul_div, mul_inv_cancel hw, one_div] #align finset.center_mass_insert Finset.centerMass_insert theorem Finset.centerMass_singleton (hw : w i ≠ 0) : ({i} : Finset ι).centerMass w z = z i := by rw [centerMass, sum_singleton, sum_singleton, ← mul_smul, inv_mul_cancel hw, one_smul] #align finset.center_mass_singleton Finset.centerMass_singleton @[simp] lemma Finset.centerMass_neg_left : t.centerMass (-w) z = t.centerMass w z := by simp [centerMass, inv_neg] lemma Finset.centerMass_smul_left {c : R'} [Module R' R] [Module R' E] [SMulCommClass R' R R] [IsScalarTower R' R R] [SMulCommClass R R' E] [IsScalarTower R' R E] (hc : c ≠ 0) : t.centerMass (c • w) z = t.centerMass w z := by simp [centerMass, -smul_assoc, smul_assoc c, ← smul_sum, smul_inv₀, smul_smul_smul_comm, hc] theorem Finset.centerMass_eq_of_sum_1 (hw : ∑ i ∈ t, w i = 1) : t.centerMass w z = ∑ i ∈ t, w i • z i := by simp only [Finset.centerMass, hw, inv_one, one_smul] #align finset.center_mass_eq_of_sum_1 Finset.centerMass_eq_of_sum_1 theorem Finset.centerMass_smul : (t.centerMass w fun i => c • z i) = c • t.centerMass w z := by simp only [Finset.centerMass, Finset.smul_sum, (mul_smul _ _ _).symm, mul_comm c, mul_assoc] #align finset.center_mass_smul Finset.centerMass_smul theorem Finset.centerMass_segment' (s : Finset ι) (t : Finset ι') (ws : ι → R) (zs : ι → E) (wt : ι' → R) (zt : ι' → E) (hws : ∑ i ∈ s, ws i = 1) (hwt : ∑ i ∈ t, wt i = 1) (a b : R) (hab : a + b = 1) : a • s.centerMass ws zs + b • t.centerMass wt zt = (s.disjSum t).centerMass (Sum.elim (fun i => a * ws i) fun j => b * wt j) (Sum.elim zs zt) := by rw [s.centerMass_eq_of_sum_1 _ hws, t.centerMass_eq_of_sum_1 _ hwt, smul_sum, smul_sum, ← Finset.sum_sum_elim, Finset.centerMass_eq_of_sum_1] · congr with ⟨⟩ <;> simp only [Sum.elim_inl, Sum.elim_inr, mul_smul] · rw [sum_sum_elim, ← mul_sum, ← mul_sum, hws, hwt, mul_one, mul_one, hab] #align finset.center_mass_segment' Finset.centerMass_segment' theorem Finset.centerMass_segment (s : Finset ι) (w₁ w₂ : ι → R) (z : ι → E) (hw₁ : ∑ i ∈ s, w₁ i = 1) (hw₂ : ∑ i ∈ s, w₂ i = 1) (a b : R) (hab : a + b = 1) : a • s.centerMass w₁ z + b • s.centerMass w₂ z = s.centerMass (fun i => a * w₁ i + b * w₂ i) z := by have hw : (∑ i ∈ s, (a * w₁ i + b * w₂ i)) = 1 := by simp only [← mul_sum, sum_add_distrib, mul_one, *] simp only [Finset.centerMass_eq_of_sum_1, Finset.centerMass_eq_of_sum_1 _ _ hw, smul_sum, sum_add_distrib, add_smul, mul_smul, *] #align finset.center_mass_segment Finset.centerMass_segment
Mathlib/Analysis/Convex/Combination.lean
115
123
theorem Finset.centerMass_ite_eq (hi : i ∈ t) : t.centerMass (fun j => if i = j then (1 : R) else 0) z = z i := by
rw [Finset.centerMass_eq_of_sum_1] · trans ∑ j ∈ t, if i = j then z i else 0 · congr with i split_ifs with h exacts [h ▸ one_smul _ _, zero_smul _ _] · rw [sum_ite_eq, if_pos hi] · rw [sum_ite_eq, if_pos hi]
7
1,096.633158
2
0.777778
9
690
import Mathlib.Data.Finsupp.Basic import Mathlib.Data.List.AList #align_import data.finsupp.alist from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" namespace Finsupp variable {α M : Type*} [Zero M] @[simps] noncomputable def toAList (f : α →₀ M) : AList fun _x : α => M := ⟨f.graph.toList.map Prod.toSigma, by rw [List.NodupKeys, List.keys, List.map_map, Prod.fst_comp_toSigma, List.nodup_map_iff_inj_on] · rintro ⟨b, m⟩ hb ⟨c, n⟩ hc (rfl : b = c) rw [Finset.mem_toList, Finsupp.mem_graph_iff] at hb hc dsimp at hb hc rw [← hc.1, hb.1] · apply Finset.nodup_toList⟩ #align finsupp.to_alist Finsupp.toAList @[simp]
Mathlib/Data/Finsupp/AList.lean
41
44
theorem toAList_keys_toFinset [DecidableEq α] (f : α →₀ M) : f.toAList.keys.toFinset = f.support := by
ext simp [toAList, AList.mem_keys, AList.keys, List.keys]
2
7.389056
1
0.777778
9
691
import Mathlib.Data.Finsupp.Basic import Mathlib.Data.List.AList #align_import data.finsupp.alist from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" namespace Finsupp variable {α M : Type*} [Zero M] @[simps] noncomputable def toAList (f : α →₀ M) : AList fun _x : α => M := ⟨f.graph.toList.map Prod.toSigma, by rw [List.NodupKeys, List.keys, List.map_map, Prod.fst_comp_toSigma, List.nodup_map_iff_inj_on] · rintro ⟨b, m⟩ hb ⟨c, n⟩ hc (rfl : b = c) rw [Finset.mem_toList, Finsupp.mem_graph_iff] at hb hc dsimp at hb hc rw [← hc.1, hb.1] · apply Finset.nodup_toList⟩ #align finsupp.to_alist Finsupp.toAList @[simp] theorem toAList_keys_toFinset [DecidableEq α] (f : α →₀ M) : f.toAList.keys.toFinset = f.support := by ext simp [toAList, AList.mem_keys, AList.keys, List.keys] #align finsupp.to_alist_keys_to_finset Finsupp.toAList_keys_toFinset @[simp]
Mathlib/Data/Finsupp/AList.lean
48
49
theorem mem_toAlist {f : α →₀ M} {x : α} : x ∈ f.toAList ↔ f x ≠ 0 := by
classical rw [AList.mem_keys, ← List.mem_toFinset, toAList_keys_toFinset, mem_support_iff]
1
2.718282
0
0.777778
9
691
import Mathlib.Data.Finsupp.Basic import Mathlib.Data.List.AList #align_import data.finsupp.alist from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" namespace AList variable {α M : Type*} [Zero M] open List noncomputable def lookupFinsupp (l : AList fun _x : α => M) : α →₀ M where support := by haveI := Classical.decEq α; haveI := Classical.decEq M exact (l.1.filter fun x => Sigma.snd x ≠ 0).keys.toFinset toFun a := haveI := Classical.decEq α (l.lookup a).getD 0 mem_support_toFun a := by classical simp_rw [@mem_toFinset _ _, List.mem_keys, List.mem_filter, ← mem_lookup_iff] cases lookup a l <;> simp #align alist.lookup_finsupp AList.lookupFinsupp @[simp]
Mathlib/Data/Finsupp/AList.lean
76
78
theorem lookupFinsupp_apply [DecidableEq α] (l : AList fun _x : α => M) (a : α) : l.lookupFinsupp a = (l.lookup a).getD 0 := by
convert rfl; congr
1
2.718282
0
0.777778
9
691
import Mathlib.Data.Finsupp.Basic import Mathlib.Data.List.AList #align_import data.finsupp.alist from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" namespace AList variable {α M : Type*} [Zero M] open List noncomputable def lookupFinsupp (l : AList fun _x : α => M) : α →₀ M where support := by haveI := Classical.decEq α; haveI := Classical.decEq M exact (l.1.filter fun x => Sigma.snd x ≠ 0).keys.toFinset toFun a := haveI := Classical.decEq α (l.lookup a).getD 0 mem_support_toFun a := by classical simp_rw [@mem_toFinset _ _, List.mem_keys, List.mem_filter, ← mem_lookup_iff] cases lookup a l <;> simp #align alist.lookup_finsupp AList.lookupFinsupp @[simp] theorem lookupFinsupp_apply [DecidableEq α] (l : AList fun _x : α => M) (a : α) : l.lookupFinsupp a = (l.lookup a).getD 0 := by convert rfl; congr #align alist.lookup_finsupp_apply AList.lookupFinsupp_apply @[simp]
Mathlib/Data/Finsupp/AList.lean
82
86
theorem lookupFinsupp_support [DecidableEq α] [DecidableEq M] (l : AList fun _x : α => M) : l.lookupFinsupp.support = (l.1.filter fun x => Sigma.snd x ≠ 0).keys.toFinset := by
convert rfl; congr · apply Subsingleton.elim · funext; congr
3
20.085537
1
0.777778
9
691
import Mathlib.Data.Finsupp.Basic import Mathlib.Data.List.AList #align_import data.finsupp.alist from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" namespace AList variable {α M : Type*} [Zero M] open List noncomputable def lookupFinsupp (l : AList fun _x : α => M) : α →₀ M where support := by haveI := Classical.decEq α; haveI := Classical.decEq M exact (l.1.filter fun x => Sigma.snd x ≠ 0).keys.toFinset toFun a := haveI := Classical.decEq α (l.lookup a).getD 0 mem_support_toFun a := by classical simp_rw [@mem_toFinset _ _, List.mem_keys, List.mem_filter, ← mem_lookup_iff] cases lookup a l <;> simp #align alist.lookup_finsupp AList.lookupFinsupp @[simp] theorem lookupFinsupp_apply [DecidableEq α] (l : AList fun _x : α => M) (a : α) : l.lookupFinsupp a = (l.lookup a).getD 0 := by convert rfl; congr #align alist.lookup_finsupp_apply AList.lookupFinsupp_apply @[simp] theorem lookupFinsupp_support [DecidableEq α] [DecidableEq M] (l : AList fun _x : α => M) : l.lookupFinsupp.support = (l.1.filter fun x => Sigma.snd x ≠ 0).keys.toFinset := by convert rfl; congr · apply Subsingleton.elim · funext; congr #align alist.lookup_finsupp_support AList.lookupFinsupp_support
Mathlib/Data/Finsupp/AList.lean
89
92
theorem lookupFinsupp_eq_iff_of_ne_zero [DecidableEq α] {l : AList fun _x : α => M} {a : α} {x : M} (hx : x ≠ 0) : l.lookupFinsupp a = x ↔ x ∈ l.lookup a := by
rw [lookupFinsupp_apply] cases' lookup a l with m <;> simp [hx.symm]
2
7.389056
1
0.777778
9
691
import Mathlib.Data.Finsupp.Basic import Mathlib.Data.List.AList #align_import data.finsupp.alist from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" namespace AList variable {α M : Type*} [Zero M] open List noncomputable def lookupFinsupp (l : AList fun _x : α => M) : α →₀ M where support := by haveI := Classical.decEq α; haveI := Classical.decEq M exact (l.1.filter fun x => Sigma.snd x ≠ 0).keys.toFinset toFun a := haveI := Classical.decEq α (l.lookup a).getD 0 mem_support_toFun a := by classical simp_rw [@mem_toFinset _ _, List.mem_keys, List.mem_filter, ← mem_lookup_iff] cases lookup a l <;> simp #align alist.lookup_finsupp AList.lookupFinsupp @[simp] theorem lookupFinsupp_apply [DecidableEq α] (l : AList fun _x : α => M) (a : α) : l.lookupFinsupp a = (l.lookup a).getD 0 := by convert rfl; congr #align alist.lookup_finsupp_apply AList.lookupFinsupp_apply @[simp] theorem lookupFinsupp_support [DecidableEq α] [DecidableEq M] (l : AList fun _x : α => M) : l.lookupFinsupp.support = (l.1.filter fun x => Sigma.snd x ≠ 0).keys.toFinset := by convert rfl; congr · apply Subsingleton.elim · funext; congr #align alist.lookup_finsupp_support AList.lookupFinsupp_support theorem lookupFinsupp_eq_iff_of_ne_zero [DecidableEq α] {l : AList fun _x : α => M} {a : α} {x : M} (hx : x ≠ 0) : l.lookupFinsupp a = x ↔ x ∈ l.lookup a := by rw [lookupFinsupp_apply] cases' lookup a l with m <;> simp [hx.symm] #align alist.lookup_finsupp_eq_iff_of_ne_zero AList.lookupFinsupp_eq_iff_of_ne_zero
Mathlib/Data/Finsupp/AList.lean
95
98
theorem lookupFinsupp_eq_zero_iff [DecidableEq α] {l : AList fun _x : α => M} {a : α} : l.lookupFinsupp a = 0 ↔ a ∉ l ∨ (0 : M) ∈ l.lookup a := by
rw [lookupFinsupp_apply, ← lookup_eq_none] cases' lookup a l with m <;> simp
2
7.389056
1
0.777778
9
691
import Mathlib.Data.Finsupp.Basic import Mathlib.Data.List.AList #align_import data.finsupp.alist from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" namespace AList variable {α M : Type*} [Zero M] open List noncomputable def lookupFinsupp (l : AList fun _x : α => M) : α →₀ M where support := by haveI := Classical.decEq α; haveI := Classical.decEq M exact (l.1.filter fun x => Sigma.snd x ≠ 0).keys.toFinset toFun a := haveI := Classical.decEq α (l.lookup a).getD 0 mem_support_toFun a := by classical simp_rw [@mem_toFinset _ _, List.mem_keys, List.mem_filter, ← mem_lookup_iff] cases lookup a l <;> simp #align alist.lookup_finsupp AList.lookupFinsupp @[simp] theorem lookupFinsupp_apply [DecidableEq α] (l : AList fun _x : α => M) (a : α) : l.lookupFinsupp a = (l.lookup a).getD 0 := by convert rfl; congr #align alist.lookup_finsupp_apply AList.lookupFinsupp_apply @[simp] theorem lookupFinsupp_support [DecidableEq α] [DecidableEq M] (l : AList fun _x : α => M) : l.lookupFinsupp.support = (l.1.filter fun x => Sigma.snd x ≠ 0).keys.toFinset := by convert rfl; congr · apply Subsingleton.elim · funext; congr #align alist.lookup_finsupp_support AList.lookupFinsupp_support theorem lookupFinsupp_eq_iff_of_ne_zero [DecidableEq α] {l : AList fun _x : α => M} {a : α} {x : M} (hx : x ≠ 0) : l.lookupFinsupp a = x ↔ x ∈ l.lookup a := by rw [lookupFinsupp_apply] cases' lookup a l with m <;> simp [hx.symm] #align alist.lookup_finsupp_eq_iff_of_ne_zero AList.lookupFinsupp_eq_iff_of_ne_zero theorem lookupFinsupp_eq_zero_iff [DecidableEq α] {l : AList fun _x : α => M} {a : α} : l.lookupFinsupp a = 0 ↔ a ∉ l ∨ (0 : M) ∈ l.lookup a := by rw [lookupFinsupp_apply, ← lookup_eq_none] cases' lookup a l with m <;> simp #align alist.lookup_finsupp_eq_zero_iff AList.lookupFinsupp_eq_zero_iff @[simp]
Mathlib/Data/Finsupp/AList.lean
102
105
theorem empty_lookupFinsupp : lookupFinsupp (∅ : AList fun _x : α => M) = 0 := by
classical ext simp
3
20.085537
1
0.777778
9
691
import Mathlib.Data.Finsupp.Basic import Mathlib.Data.List.AList #align_import data.finsupp.alist from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" namespace AList variable {α M : Type*} [Zero M] open List noncomputable def lookupFinsupp (l : AList fun _x : α => M) : α →₀ M where support := by haveI := Classical.decEq α; haveI := Classical.decEq M exact (l.1.filter fun x => Sigma.snd x ≠ 0).keys.toFinset toFun a := haveI := Classical.decEq α (l.lookup a).getD 0 mem_support_toFun a := by classical simp_rw [@mem_toFinset _ _, List.mem_keys, List.mem_filter, ← mem_lookup_iff] cases lookup a l <;> simp #align alist.lookup_finsupp AList.lookupFinsupp @[simp] theorem lookupFinsupp_apply [DecidableEq α] (l : AList fun _x : α => M) (a : α) : l.lookupFinsupp a = (l.lookup a).getD 0 := by convert rfl; congr #align alist.lookup_finsupp_apply AList.lookupFinsupp_apply @[simp] theorem lookupFinsupp_support [DecidableEq α] [DecidableEq M] (l : AList fun _x : α => M) : l.lookupFinsupp.support = (l.1.filter fun x => Sigma.snd x ≠ 0).keys.toFinset := by convert rfl; congr · apply Subsingleton.elim · funext; congr #align alist.lookup_finsupp_support AList.lookupFinsupp_support theorem lookupFinsupp_eq_iff_of_ne_zero [DecidableEq α] {l : AList fun _x : α => M} {a : α} {x : M} (hx : x ≠ 0) : l.lookupFinsupp a = x ↔ x ∈ l.lookup a := by rw [lookupFinsupp_apply] cases' lookup a l with m <;> simp [hx.symm] #align alist.lookup_finsupp_eq_iff_of_ne_zero AList.lookupFinsupp_eq_iff_of_ne_zero theorem lookupFinsupp_eq_zero_iff [DecidableEq α] {l : AList fun _x : α => M} {a : α} : l.lookupFinsupp a = 0 ↔ a ∉ l ∨ (0 : M) ∈ l.lookup a := by rw [lookupFinsupp_apply, ← lookup_eq_none] cases' lookup a l with m <;> simp #align alist.lookup_finsupp_eq_zero_iff AList.lookupFinsupp_eq_zero_iff @[simp] theorem empty_lookupFinsupp : lookupFinsupp (∅ : AList fun _x : α => M) = 0 := by classical ext simp #align alist.empty_lookup_finsupp AList.empty_lookupFinsupp @[simp]
Mathlib/Data/Finsupp/AList.lean
109
112
theorem insert_lookupFinsupp [DecidableEq α] (l : AList fun _x : α => M) (a : α) (m : M) : (l.insert a m).lookupFinsupp = l.lookupFinsupp.update a m := by
ext b by_cases h : b = a <;> simp [h]
2
7.389056
1
0.777778
9
691
import Mathlib.Data.Finsupp.Basic import Mathlib.Data.List.AList #align_import data.finsupp.alist from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" namespace AList variable {α M : Type*} [Zero M] open List noncomputable def lookupFinsupp (l : AList fun _x : α => M) : α →₀ M where support := by haveI := Classical.decEq α; haveI := Classical.decEq M exact (l.1.filter fun x => Sigma.snd x ≠ 0).keys.toFinset toFun a := haveI := Classical.decEq α (l.lookup a).getD 0 mem_support_toFun a := by classical simp_rw [@mem_toFinset _ _, List.mem_keys, List.mem_filter, ← mem_lookup_iff] cases lookup a l <;> simp #align alist.lookup_finsupp AList.lookupFinsupp @[simp] theorem lookupFinsupp_apply [DecidableEq α] (l : AList fun _x : α => M) (a : α) : l.lookupFinsupp a = (l.lookup a).getD 0 := by convert rfl; congr #align alist.lookup_finsupp_apply AList.lookupFinsupp_apply @[simp] theorem lookupFinsupp_support [DecidableEq α] [DecidableEq M] (l : AList fun _x : α => M) : l.lookupFinsupp.support = (l.1.filter fun x => Sigma.snd x ≠ 0).keys.toFinset := by convert rfl; congr · apply Subsingleton.elim · funext; congr #align alist.lookup_finsupp_support AList.lookupFinsupp_support theorem lookupFinsupp_eq_iff_of_ne_zero [DecidableEq α] {l : AList fun _x : α => M} {a : α} {x : M} (hx : x ≠ 0) : l.lookupFinsupp a = x ↔ x ∈ l.lookup a := by rw [lookupFinsupp_apply] cases' lookup a l with m <;> simp [hx.symm] #align alist.lookup_finsupp_eq_iff_of_ne_zero AList.lookupFinsupp_eq_iff_of_ne_zero theorem lookupFinsupp_eq_zero_iff [DecidableEq α] {l : AList fun _x : α => M} {a : α} : l.lookupFinsupp a = 0 ↔ a ∉ l ∨ (0 : M) ∈ l.lookup a := by rw [lookupFinsupp_apply, ← lookup_eq_none] cases' lookup a l with m <;> simp #align alist.lookup_finsupp_eq_zero_iff AList.lookupFinsupp_eq_zero_iff @[simp] theorem empty_lookupFinsupp : lookupFinsupp (∅ : AList fun _x : α => M) = 0 := by classical ext simp #align alist.empty_lookup_finsupp AList.empty_lookupFinsupp @[simp] theorem insert_lookupFinsupp [DecidableEq α] (l : AList fun _x : α => M) (a : α) (m : M) : (l.insert a m).lookupFinsupp = l.lookupFinsupp.update a m := by ext b by_cases h : b = a <;> simp [h] #align alist.insert_lookup_finsupp AList.insert_lookupFinsupp @[simp]
Mathlib/Data/Finsupp/AList.lean
116
120
theorem singleton_lookupFinsupp (a : α) (m : M) : (singleton a m).lookupFinsupp = Finsupp.single a m := by
classical -- porting note (#10745): was `simp [← AList.insert_empty]` but timeout issues simp only [← AList.insert_empty, insert_lookupFinsupp, empty_lookupFinsupp, Finsupp.zero_update]
3
20.085537
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691
import Mathlib.Probability.Kernel.Disintegration.Unique import Mathlib.Probability.Notation #align_import probability.kernel.cond_distrib from "leanprover-community/mathlib"@"00abe0695d8767201e6d008afa22393978bb324d" open MeasureTheory Set Filter TopologicalSpace open scoped ENNReal MeasureTheory ProbabilityTheory namespace ProbabilityTheory variable {α β Ω F : Type*} [MeasurableSpace Ω] [StandardBorelSpace Ω] [Nonempty Ω] [NormedAddCommGroup F] {mα : MeasurableSpace α} {μ : Measure α} [IsFiniteMeasure μ] {X : α → β} {Y : α → Ω} noncomputable irreducible_def condDistrib {_ : MeasurableSpace α} [MeasurableSpace β] (Y : α → Ω) (X : α → β) (μ : Measure α) [IsFiniteMeasure μ] : kernel β Ω := (μ.map fun a => (X a, Y a)).condKernel #align probability_theory.cond_distrib ProbabilityTheory.condDistrib instance [MeasurableSpace β] : IsMarkovKernel (condDistrib Y X μ) := by rw [condDistrib]; infer_instance variable {mβ : MeasurableSpace β} {s : Set Ω} {t : Set β} {f : β × Ω → F} lemma condDistrib_apply_of_ne_zero [MeasurableSingletonClass β] (hY : Measurable Y) (x : β) (hX : μ.map X {x} ≠ 0) (s : Set Ω) : condDistrib Y X μ x s = (μ.map X {x})⁻¹ * μ.map (fun a => (X a, Y a)) ({x} ×ˢ s) := by rw [condDistrib, Measure.condKernel_apply_of_ne_zero _ s] · rw [Measure.fst_map_prod_mk hY] · rwa [Measure.fst_map_prod_mk hY] section Measurability theorem measurable_condDistrib (hs : MeasurableSet s) : Measurable[mβ.comap X] fun a => condDistrib Y X μ (X a) s := (kernel.measurable_coe _ hs).comp (Measurable.of_comap_le le_rfl) #align probability_theory.measurable_cond_distrib ProbabilityTheory.measurable_condDistrib
Mathlib/Probability/Kernel/CondDistrib.lean
88
93
theorem _root_.MeasureTheory.AEStronglyMeasurable.ae_integrable_condDistrib_map_iff (hY : AEMeasurable Y μ) (hf : AEStronglyMeasurable f (μ.map fun a => (X a, Y a))) : (∀ᵐ a ∂μ.map X, Integrable (fun ω => f (a, ω)) (condDistrib Y X μ a)) ∧ Integrable (fun a => ∫ ω, ‖f (a, ω)‖ ∂condDistrib Y X μ a) (μ.map X) ↔ Integrable f (μ.map fun a => (X a, Y a)) := by
rw [condDistrib, ← hf.ae_integrable_condKernel_iff, Measure.fst_map_prod_mk₀ hY]
1
2.718282
0
0.777778
9
692
import Mathlib.Probability.Kernel.Disintegration.Unique import Mathlib.Probability.Notation #align_import probability.kernel.cond_distrib from "leanprover-community/mathlib"@"00abe0695d8767201e6d008afa22393978bb324d" open MeasureTheory Set Filter TopologicalSpace open scoped ENNReal MeasureTheory ProbabilityTheory namespace ProbabilityTheory variable {α β Ω F : Type*} [MeasurableSpace Ω] [StandardBorelSpace Ω] [Nonempty Ω] [NormedAddCommGroup F] {mα : MeasurableSpace α} {μ : Measure α} [IsFiniteMeasure μ] {X : α → β} {Y : α → Ω} noncomputable irreducible_def condDistrib {_ : MeasurableSpace α} [MeasurableSpace β] (Y : α → Ω) (X : α → β) (μ : Measure α) [IsFiniteMeasure μ] : kernel β Ω := (μ.map fun a => (X a, Y a)).condKernel #align probability_theory.cond_distrib ProbabilityTheory.condDistrib instance [MeasurableSpace β] : IsMarkovKernel (condDistrib Y X μ) := by rw [condDistrib]; infer_instance variable {mβ : MeasurableSpace β} {s : Set Ω} {t : Set β} {f : β × Ω → F} lemma condDistrib_apply_of_ne_zero [MeasurableSingletonClass β] (hY : Measurable Y) (x : β) (hX : μ.map X {x} ≠ 0) (s : Set Ω) : condDistrib Y X μ x s = (μ.map X {x})⁻¹ * μ.map (fun a => (X a, Y a)) ({x} ×ˢ s) := by rw [condDistrib, Measure.condKernel_apply_of_ne_zero _ s] · rw [Measure.fst_map_prod_mk hY] · rwa [Measure.fst_map_prod_mk hY] section Measurability theorem measurable_condDistrib (hs : MeasurableSet s) : Measurable[mβ.comap X] fun a => condDistrib Y X μ (X a) s := (kernel.measurable_coe _ hs).comp (Measurable.of_comap_le le_rfl) #align probability_theory.measurable_cond_distrib ProbabilityTheory.measurable_condDistrib theorem _root_.MeasureTheory.AEStronglyMeasurable.ae_integrable_condDistrib_map_iff (hY : AEMeasurable Y μ) (hf : AEStronglyMeasurable f (μ.map fun a => (X a, Y a))) : (∀ᵐ a ∂μ.map X, Integrable (fun ω => f (a, ω)) (condDistrib Y X μ a)) ∧ Integrable (fun a => ∫ ω, ‖f (a, ω)‖ ∂condDistrib Y X μ a) (μ.map X) ↔ Integrable f (μ.map fun a => (X a, Y a)) := by rw [condDistrib, ← hf.ae_integrable_condKernel_iff, Measure.fst_map_prod_mk₀ hY] #align measure_theory.ae_strongly_measurable.ae_integrable_cond_distrib_map_iff MeasureTheory.AEStronglyMeasurable.ae_integrable_condDistrib_map_iff variable [NormedSpace ℝ F] [CompleteSpace F]
Mathlib/Probability/Kernel/CondDistrib.lean
98
101
theorem _root_.MeasureTheory.AEStronglyMeasurable.integral_condDistrib_map (hY : AEMeasurable Y μ) (hf : AEStronglyMeasurable f (μ.map fun a => (X a, Y a))) : AEStronglyMeasurable (fun x => ∫ y, f (x, y) ∂condDistrib Y X μ x) (μ.map X) := by
rw [← Measure.fst_map_prod_mk₀ hY, condDistrib]; exact hf.integral_condKernel
1
2.718282
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0.777778
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692
import Mathlib.Probability.Kernel.Disintegration.Unique import Mathlib.Probability.Notation #align_import probability.kernel.cond_distrib from "leanprover-community/mathlib"@"00abe0695d8767201e6d008afa22393978bb324d" open MeasureTheory Set Filter TopologicalSpace open scoped ENNReal MeasureTheory ProbabilityTheory namespace ProbabilityTheory variable {α β Ω F : Type*} [MeasurableSpace Ω] [StandardBorelSpace Ω] [Nonempty Ω] [NormedAddCommGroup F] {mα : MeasurableSpace α} {μ : Measure α} [IsFiniteMeasure μ] {X : α → β} {Y : α → Ω} noncomputable irreducible_def condDistrib {_ : MeasurableSpace α} [MeasurableSpace β] (Y : α → Ω) (X : α → β) (μ : Measure α) [IsFiniteMeasure μ] : kernel β Ω := (μ.map fun a => (X a, Y a)).condKernel #align probability_theory.cond_distrib ProbabilityTheory.condDistrib instance [MeasurableSpace β] : IsMarkovKernel (condDistrib Y X μ) := by rw [condDistrib]; infer_instance variable {mβ : MeasurableSpace β} {s : Set Ω} {t : Set β} {f : β × Ω → F} lemma condDistrib_apply_of_ne_zero [MeasurableSingletonClass β] (hY : Measurable Y) (x : β) (hX : μ.map X {x} ≠ 0) (s : Set Ω) : condDistrib Y X μ x s = (μ.map X {x})⁻¹ * μ.map (fun a => (X a, Y a)) ({x} ×ˢ s) := by rw [condDistrib, Measure.condKernel_apply_of_ne_zero _ s] · rw [Measure.fst_map_prod_mk hY] · rwa [Measure.fst_map_prod_mk hY]
Mathlib/Probability/Kernel/CondDistrib.lean
120
130
theorem condDistrib_ae_eq_of_measure_eq_compProd (hX : Measurable X) (hY : Measurable Y) (κ : kernel β Ω) [IsFiniteKernel κ] (hκ : μ.map (fun x => (X x, Y x)) = μ.map X ⊗ₘ κ) : ∀ᵐ x ∂μ.map X, κ x = condDistrib Y X μ x := by
have heq : μ.map X = (μ.map (fun x ↦ (X x, Y x))).fst := by ext s hs rw [Measure.map_apply hX hs, Measure.fst_apply hs, Measure.map_apply] exacts [rfl, Measurable.prod hX hY, measurable_fst hs] rw [heq, condDistrib] refine eq_condKernel_of_measure_eq_compProd _ ?_ convert hκ exact heq.symm
8
2,980.957987
2
0.777778
9
692
import Mathlib.Probability.Kernel.Disintegration.Unique import Mathlib.Probability.Notation #align_import probability.kernel.cond_distrib from "leanprover-community/mathlib"@"00abe0695d8767201e6d008afa22393978bb324d" open MeasureTheory Set Filter TopologicalSpace open scoped ENNReal MeasureTheory ProbabilityTheory namespace ProbabilityTheory variable {α β Ω F : Type*} [MeasurableSpace Ω] [StandardBorelSpace Ω] [Nonempty Ω] [NormedAddCommGroup F] {mα : MeasurableSpace α} {μ : Measure α} [IsFiniteMeasure μ] {X : α → β} {Y : α → Ω} noncomputable irreducible_def condDistrib {_ : MeasurableSpace α} [MeasurableSpace β] (Y : α → Ω) (X : α → β) (μ : Measure α) [IsFiniteMeasure μ] : kernel β Ω := (μ.map fun a => (X a, Y a)).condKernel #align probability_theory.cond_distrib ProbabilityTheory.condDistrib instance [MeasurableSpace β] : IsMarkovKernel (condDistrib Y X μ) := by rw [condDistrib]; infer_instance variable {mβ : MeasurableSpace β} {s : Set Ω} {t : Set β} {f : β × Ω → F} lemma condDistrib_apply_of_ne_zero [MeasurableSingletonClass β] (hY : Measurable Y) (x : β) (hX : μ.map X {x} ≠ 0) (s : Set Ω) : condDistrib Y X μ x s = (μ.map X {x})⁻¹ * μ.map (fun a => (X a, Y a)) ({x} ×ˢ s) := by rw [condDistrib, Measure.condKernel_apply_of_ne_zero _ s] · rw [Measure.fst_map_prod_mk hY] · rwa [Measure.fst_map_prod_mk hY] theorem condDistrib_ae_eq_of_measure_eq_compProd (hX : Measurable X) (hY : Measurable Y) (κ : kernel β Ω) [IsFiniteKernel κ] (hκ : μ.map (fun x => (X x, Y x)) = μ.map X ⊗ₘ κ) : ∀ᵐ x ∂μ.map X, κ x = condDistrib Y X μ x := by have heq : μ.map X = (μ.map (fun x ↦ (X x, Y x))).fst := by ext s hs rw [Measure.map_apply hX hs, Measure.fst_apply hs, Measure.map_apply] exacts [rfl, Measurable.prod hX hY, measurable_fst hs] rw [heq, condDistrib] refine eq_condKernel_of_measure_eq_compProd _ ?_ convert hκ exact heq.symm section Integrability
Mathlib/Probability/Kernel/CondDistrib.lean
134
142
theorem integrable_toReal_condDistrib (hX : AEMeasurable X μ) (hs : MeasurableSet s) : Integrable (fun a => (condDistrib Y X μ (X a) s).toReal) μ := by
refine integrable_toReal_of_lintegral_ne_top ?_ ?_ · exact Measurable.comp_aemeasurable (kernel.measurable_coe _ hs) hX · refine ne_of_lt ?_ calc ∫⁻ a, condDistrib Y X μ (X a) s ∂μ ≤ ∫⁻ _, 1 ∂μ := lintegral_mono fun a => prob_le_one _ = μ univ := lintegral_one _ < ∞ := measure_lt_top _ _
7
1,096.633158
2
0.777778
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import Mathlib.Probability.Kernel.Disintegration.Unique import Mathlib.Probability.Notation #align_import probability.kernel.cond_distrib from "leanprover-community/mathlib"@"00abe0695d8767201e6d008afa22393978bb324d" open MeasureTheory Set Filter TopologicalSpace open scoped ENNReal MeasureTheory ProbabilityTheory namespace ProbabilityTheory variable {α β Ω F : Type*} [MeasurableSpace Ω] [StandardBorelSpace Ω] [Nonempty Ω] [NormedAddCommGroup F] {mα : MeasurableSpace α} {μ : Measure α} [IsFiniteMeasure μ] {X : α → β} {Y : α → Ω} noncomputable irreducible_def condDistrib {_ : MeasurableSpace α} [MeasurableSpace β] (Y : α → Ω) (X : α → β) (μ : Measure α) [IsFiniteMeasure μ] : kernel β Ω := (μ.map fun a => (X a, Y a)).condKernel #align probability_theory.cond_distrib ProbabilityTheory.condDistrib instance [MeasurableSpace β] : IsMarkovKernel (condDistrib Y X μ) := by rw [condDistrib]; infer_instance variable {mβ : MeasurableSpace β} {s : Set Ω} {t : Set β} {f : β × Ω → F} lemma condDistrib_apply_of_ne_zero [MeasurableSingletonClass β] (hY : Measurable Y) (x : β) (hX : μ.map X {x} ≠ 0) (s : Set Ω) : condDistrib Y X μ x s = (μ.map X {x})⁻¹ * μ.map (fun a => (X a, Y a)) ({x} ×ˢ s) := by rw [condDistrib, Measure.condKernel_apply_of_ne_zero _ s] · rw [Measure.fst_map_prod_mk hY] · rwa [Measure.fst_map_prod_mk hY] theorem condDistrib_ae_eq_of_measure_eq_compProd (hX : Measurable X) (hY : Measurable Y) (κ : kernel β Ω) [IsFiniteKernel κ] (hκ : μ.map (fun x => (X x, Y x)) = μ.map X ⊗ₘ κ) : ∀ᵐ x ∂μ.map X, κ x = condDistrib Y X μ x := by have heq : μ.map X = (μ.map (fun x ↦ (X x, Y x))).fst := by ext s hs rw [Measure.map_apply hX hs, Measure.fst_apply hs, Measure.map_apply] exacts [rfl, Measurable.prod hX hY, measurable_fst hs] rw [heq, condDistrib] refine eq_condKernel_of_measure_eq_compProd _ ?_ convert hκ exact heq.symm section Integrability theorem integrable_toReal_condDistrib (hX : AEMeasurable X μ) (hs : MeasurableSet s) : Integrable (fun a => (condDistrib Y X μ (X a) s).toReal) μ := by refine integrable_toReal_of_lintegral_ne_top ?_ ?_ · exact Measurable.comp_aemeasurable (kernel.measurable_coe _ hs) hX · refine ne_of_lt ?_ calc ∫⁻ a, condDistrib Y X μ (X a) s ∂μ ≤ ∫⁻ _, 1 ∂μ := lintegral_mono fun a => prob_le_one _ = μ univ := lintegral_one _ < ∞ := measure_lt_top _ _ #align probability_theory.integrable_to_real_cond_distrib ProbabilityTheory.integrable_toReal_condDistrib
Mathlib/Probability/Kernel/CondDistrib.lean
145
148
theorem _root_.MeasureTheory.Integrable.condDistrib_ae_map (hY : AEMeasurable Y μ) (hf_int : Integrable f (μ.map fun a => (X a, Y a))) : ∀ᵐ b ∂μ.map X, Integrable (fun ω => f (b, ω)) (condDistrib Y X μ b) := by
rw [condDistrib, ← Measure.fst_map_prod_mk₀ (X := X) hY]; exact hf_int.condKernel_ae
1
2.718282
0
0.777778
9
692
import Mathlib.Probability.Kernel.Disintegration.Unique import Mathlib.Probability.Notation #align_import probability.kernel.cond_distrib from "leanprover-community/mathlib"@"00abe0695d8767201e6d008afa22393978bb324d" open MeasureTheory Set Filter TopologicalSpace open scoped ENNReal MeasureTheory ProbabilityTheory namespace ProbabilityTheory variable {α β Ω F : Type*} [MeasurableSpace Ω] [StandardBorelSpace Ω] [Nonempty Ω] [NormedAddCommGroup F] {mα : MeasurableSpace α} {μ : Measure α} [IsFiniteMeasure μ] {X : α → β} {Y : α → Ω} noncomputable irreducible_def condDistrib {_ : MeasurableSpace α} [MeasurableSpace β] (Y : α → Ω) (X : α → β) (μ : Measure α) [IsFiniteMeasure μ] : kernel β Ω := (μ.map fun a => (X a, Y a)).condKernel #align probability_theory.cond_distrib ProbabilityTheory.condDistrib instance [MeasurableSpace β] : IsMarkovKernel (condDistrib Y X μ) := by rw [condDistrib]; infer_instance variable {mβ : MeasurableSpace β} {s : Set Ω} {t : Set β} {f : β × Ω → F} lemma condDistrib_apply_of_ne_zero [MeasurableSingletonClass β] (hY : Measurable Y) (x : β) (hX : μ.map X {x} ≠ 0) (s : Set Ω) : condDistrib Y X μ x s = (μ.map X {x})⁻¹ * μ.map (fun a => (X a, Y a)) ({x} ×ˢ s) := by rw [condDistrib, Measure.condKernel_apply_of_ne_zero _ s] · rw [Measure.fst_map_prod_mk hY] · rwa [Measure.fst_map_prod_mk hY] theorem condDistrib_ae_eq_of_measure_eq_compProd (hX : Measurable X) (hY : Measurable Y) (κ : kernel β Ω) [IsFiniteKernel κ] (hκ : μ.map (fun x => (X x, Y x)) = μ.map X ⊗ₘ κ) : ∀ᵐ x ∂μ.map X, κ x = condDistrib Y X μ x := by have heq : μ.map X = (μ.map (fun x ↦ (X x, Y x))).fst := by ext s hs rw [Measure.map_apply hX hs, Measure.fst_apply hs, Measure.map_apply] exacts [rfl, Measurable.prod hX hY, measurable_fst hs] rw [heq, condDistrib] refine eq_condKernel_of_measure_eq_compProd _ ?_ convert hκ exact heq.symm section Integrability theorem integrable_toReal_condDistrib (hX : AEMeasurable X μ) (hs : MeasurableSet s) : Integrable (fun a => (condDistrib Y X μ (X a) s).toReal) μ := by refine integrable_toReal_of_lintegral_ne_top ?_ ?_ · exact Measurable.comp_aemeasurable (kernel.measurable_coe _ hs) hX · refine ne_of_lt ?_ calc ∫⁻ a, condDistrib Y X μ (X a) s ∂μ ≤ ∫⁻ _, 1 ∂μ := lintegral_mono fun a => prob_le_one _ = μ univ := lintegral_one _ < ∞ := measure_lt_top _ _ #align probability_theory.integrable_to_real_cond_distrib ProbabilityTheory.integrable_toReal_condDistrib theorem _root_.MeasureTheory.Integrable.condDistrib_ae_map (hY : AEMeasurable Y μ) (hf_int : Integrable f (μ.map fun a => (X a, Y a))) : ∀ᵐ b ∂μ.map X, Integrable (fun ω => f (b, ω)) (condDistrib Y X μ b) := by rw [condDistrib, ← Measure.fst_map_prod_mk₀ (X := X) hY]; exact hf_int.condKernel_ae #align measure_theory.integrable.cond_distrib_ae_map MeasureTheory.Integrable.condDistrib_ae_map theorem _root_.MeasureTheory.Integrable.condDistrib_ae (hX : AEMeasurable X μ) (hY : AEMeasurable Y μ) (hf_int : Integrable f (μ.map fun a => (X a, Y a))) : ∀ᵐ a ∂μ, Integrable (fun ω => f (X a, ω)) (condDistrib Y X μ (X a)) := ae_of_ae_map hX (hf_int.condDistrib_ae_map hY) #align measure_theory.integrable.cond_distrib_ae MeasureTheory.Integrable.condDistrib_ae
Mathlib/Probability/Kernel/CondDistrib.lean
157
160
theorem _root_.MeasureTheory.Integrable.integral_norm_condDistrib_map (hY : AEMeasurable Y μ) (hf_int : Integrable f (μ.map fun a => (X a, Y a))) : Integrable (fun x => ∫ y, ‖f (x, y)‖ ∂condDistrib Y X μ x) (μ.map X) := by
rw [condDistrib, ← Measure.fst_map_prod_mk₀ (X := X) hY]; exact hf_int.integral_norm_condKernel
1
2.718282
0
0.777778
9
692
import Mathlib.Probability.Kernel.Disintegration.Unique import Mathlib.Probability.Notation #align_import probability.kernel.cond_distrib from "leanprover-community/mathlib"@"00abe0695d8767201e6d008afa22393978bb324d" open MeasureTheory Set Filter TopologicalSpace open scoped ENNReal MeasureTheory ProbabilityTheory namespace ProbabilityTheory variable {α β Ω F : Type*} [MeasurableSpace Ω] [StandardBorelSpace Ω] [Nonempty Ω] [NormedAddCommGroup F] {mα : MeasurableSpace α} {μ : Measure α} [IsFiniteMeasure μ] {X : α → β} {Y : α → Ω} noncomputable irreducible_def condDistrib {_ : MeasurableSpace α} [MeasurableSpace β] (Y : α → Ω) (X : α → β) (μ : Measure α) [IsFiniteMeasure μ] : kernel β Ω := (μ.map fun a => (X a, Y a)).condKernel #align probability_theory.cond_distrib ProbabilityTheory.condDistrib instance [MeasurableSpace β] : IsMarkovKernel (condDistrib Y X μ) := by rw [condDistrib]; infer_instance variable {mβ : MeasurableSpace β} {s : Set Ω} {t : Set β} {f : β × Ω → F} lemma condDistrib_apply_of_ne_zero [MeasurableSingletonClass β] (hY : Measurable Y) (x : β) (hX : μ.map X {x} ≠ 0) (s : Set Ω) : condDistrib Y X μ x s = (μ.map X {x})⁻¹ * μ.map (fun a => (X a, Y a)) ({x} ×ˢ s) := by rw [condDistrib, Measure.condKernel_apply_of_ne_zero _ s] · rw [Measure.fst_map_prod_mk hY] · rwa [Measure.fst_map_prod_mk hY] theorem condDistrib_ae_eq_of_measure_eq_compProd (hX : Measurable X) (hY : Measurable Y) (κ : kernel β Ω) [IsFiniteKernel κ] (hκ : μ.map (fun x => (X x, Y x)) = μ.map X ⊗ₘ κ) : ∀ᵐ x ∂μ.map X, κ x = condDistrib Y X μ x := by have heq : μ.map X = (μ.map (fun x ↦ (X x, Y x))).fst := by ext s hs rw [Measure.map_apply hX hs, Measure.fst_apply hs, Measure.map_apply] exacts [rfl, Measurable.prod hX hY, measurable_fst hs] rw [heq, condDistrib] refine eq_condKernel_of_measure_eq_compProd _ ?_ convert hκ exact heq.symm section Integrability theorem integrable_toReal_condDistrib (hX : AEMeasurable X μ) (hs : MeasurableSet s) : Integrable (fun a => (condDistrib Y X μ (X a) s).toReal) μ := by refine integrable_toReal_of_lintegral_ne_top ?_ ?_ · exact Measurable.comp_aemeasurable (kernel.measurable_coe _ hs) hX · refine ne_of_lt ?_ calc ∫⁻ a, condDistrib Y X μ (X a) s ∂μ ≤ ∫⁻ _, 1 ∂μ := lintegral_mono fun a => prob_le_one _ = μ univ := lintegral_one _ < ∞ := measure_lt_top _ _ #align probability_theory.integrable_to_real_cond_distrib ProbabilityTheory.integrable_toReal_condDistrib theorem _root_.MeasureTheory.Integrable.condDistrib_ae_map (hY : AEMeasurable Y μ) (hf_int : Integrable f (μ.map fun a => (X a, Y a))) : ∀ᵐ b ∂μ.map X, Integrable (fun ω => f (b, ω)) (condDistrib Y X μ b) := by rw [condDistrib, ← Measure.fst_map_prod_mk₀ (X := X) hY]; exact hf_int.condKernel_ae #align measure_theory.integrable.cond_distrib_ae_map MeasureTheory.Integrable.condDistrib_ae_map theorem _root_.MeasureTheory.Integrable.condDistrib_ae (hX : AEMeasurable X μ) (hY : AEMeasurable Y μ) (hf_int : Integrable f (μ.map fun a => (X a, Y a))) : ∀ᵐ a ∂μ, Integrable (fun ω => f (X a, ω)) (condDistrib Y X μ (X a)) := ae_of_ae_map hX (hf_int.condDistrib_ae_map hY) #align measure_theory.integrable.cond_distrib_ae MeasureTheory.Integrable.condDistrib_ae theorem _root_.MeasureTheory.Integrable.integral_norm_condDistrib_map (hY : AEMeasurable Y μ) (hf_int : Integrable f (μ.map fun a => (X a, Y a))) : Integrable (fun x => ∫ y, ‖f (x, y)‖ ∂condDistrib Y X μ x) (μ.map X) := by rw [condDistrib, ← Measure.fst_map_prod_mk₀ (X := X) hY]; exact hf_int.integral_norm_condKernel #align measure_theory.integrable.integral_norm_cond_distrib_map MeasureTheory.Integrable.integral_norm_condDistrib_map theorem _root_.MeasureTheory.Integrable.integral_norm_condDistrib (hX : AEMeasurable X μ) (hY : AEMeasurable Y μ) (hf_int : Integrable f (μ.map fun a => (X a, Y a))) : Integrable (fun a => ∫ y, ‖f (X a, y)‖ ∂condDistrib Y X μ (X a)) μ := (hf_int.integral_norm_condDistrib_map hY).comp_aemeasurable hX #align measure_theory.integrable.integral_norm_cond_distrib MeasureTheory.Integrable.integral_norm_condDistrib variable [NormedSpace ℝ F] [CompleteSpace F]
Mathlib/Probability/Kernel/CondDistrib.lean
171
174
theorem _root_.MeasureTheory.Integrable.norm_integral_condDistrib_map (hY : AEMeasurable Y μ) (hf_int : Integrable f (μ.map fun a => (X a, Y a))) : Integrable (fun x => ‖∫ y, f (x, y) ∂condDistrib Y X μ x‖) (μ.map X) := by
rw [condDistrib, ← Measure.fst_map_prod_mk₀ (X := X) hY]; exact hf_int.norm_integral_condKernel
1
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import Mathlib.Probability.Kernel.Disintegration.Unique import Mathlib.Probability.Notation #align_import probability.kernel.cond_distrib from "leanprover-community/mathlib"@"00abe0695d8767201e6d008afa22393978bb324d" open MeasureTheory Set Filter TopologicalSpace open scoped ENNReal MeasureTheory ProbabilityTheory namespace ProbabilityTheory variable {α β Ω F : Type*} [MeasurableSpace Ω] [StandardBorelSpace Ω] [Nonempty Ω] [NormedAddCommGroup F] {mα : MeasurableSpace α} {μ : Measure α} [IsFiniteMeasure μ] {X : α → β} {Y : α → Ω} noncomputable irreducible_def condDistrib {_ : MeasurableSpace α} [MeasurableSpace β] (Y : α → Ω) (X : α → β) (μ : Measure α) [IsFiniteMeasure μ] : kernel β Ω := (μ.map fun a => (X a, Y a)).condKernel #align probability_theory.cond_distrib ProbabilityTheory.condDistrib instance [MeasurableSpace β] : IsMarkovKernel (condDistrib Y X μ) := by rw [condDistrib]; infer_instance variable {mβ : MeasurableSpace β} {s : Set Ω} {t : Set β} {f : β × Ω → F} lemma condDistrib_apply_of_ne_zero [MeasurableSingletonClass β] (hY : Measurable Y) (x : β) (hX : μ.map X {x} ≠ 0) (s : Set Ω) : condDistrib Y X μ x s = (μ.map X {x})⁻¹ * μ.map (fun a => (X a, Y a)) ({x} ×ˢ s) := by rw [condDistrib, Measure.condKernel_apply_of_ne_zero _ s] · rw [Measure.fst_map_prod_mk hY] · rwa [Measure.fst_map_prod_mk hY] theorem condDistrib_ae_eq_of_measure_eq_compProd (hX : Measurable X) (hY : Measurable Y) (κ : kernel β Ω) [IsFiniteKernel κ] (hκ : μ.map (fun x => (X x, Y x)) = μ.map X ⊗ₘ κ) : ∀ᵐ x ∂μ.map X, κ x = condDistrib Y X μ x := by have heq : μ.map X = (μ.map (fun x ↦ (X x, Y x))).fst := by ext s hs rw [Measure.map_apply hX hs, Measure.fst_apply hs, Measure.map_apply] exacts [rfl, Measurable.prod hX hY, measurable_fst hs] rw [heq, condDistrib] refine eq_condKernel_of_measure_eq_compProd _ ?_ convert hκ exact heq.symm
Mathlib/Probability/Kernel/CondDistrib.lean
198
206
theorem set_lintegral_preimage_condDistrib (hX : Measurable X) (hY : AEMeasurable Y μ) (hs : MeasurableSet s) (ht : MeasurableSet t) : ∫⁻ a in X ⁻¹' t, condDistrib Y X μ (X a) s ∂μ = μ (X ⁻¹' t ∩ Y ⁻¹' s) := by
-- Porting note: need to massage the LHS integrand into the form accepted by `lintegral_comp` -- (`rw` does not see that the two forms are defeq) conv_lhs => arg 2; change (fun a => ((condDistrib Y X μ) a) s) ∘ X rw [lintegral_comp (kernel.measurable_coe _ hs) hX, condDistrib, ← Measure.restrict_map hX ht, ← Measure.fst_map_prod_mk₀ hY, Measure.set_lintegral_condKernel_eq_measure_prod ht hs, Measure.map_apply_of_aemeasurable (hX.aemeasurable.prod_mk hY) (ht.prod hs), mk_preimage_prod]
6
403.428793
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import Mathlib.Probability.Kernel.Disintegration.Unique import Mathlib.Probability.Notation #align_import probability.kernel.cond_distrib from "leanprover-community/mathlib"@"00abe0695d8767201e6d008afa22393978bb324d" open MeasureTheory Set Filter TopologicalSpace open scoped ENNReal MeasureTheory ProbabilityTheory namespace ProbabilityTheory variable {α β Ω F : Type*} [MeasurableSpace Ω] [StandardBorelSpace Ω] [Nonempty Ω] [NormedAddCommGroup F] {mα : MeasurableSpace α} {μ : Measure α} [IsFiniteMeasure μ] {X : α → β} {Y : α → Ω} noncomputable irreducible_def condDistrib {_ : MeasurableSpace α} [MeasurableSpace β] (Y : α → Ω) (X : α → β) (μ : Measure α) [IsFiniteMeasure μ] : kernel β Ω := (μ.map fun a => (X a, Y a)).condKernel #align probability_theory.cond_distrib ProbabilityTheory.condDistrib instance [MeasurableSpace β] : IsMarkovKernel (condDistrib Y X μ) := by rw [condDistrib]; infer_instance variable {mβ : MeasurableSpace β} {s : Set Ω} {t : Set β} {f : β × Ω → F} lemma condDistrib_apply_of_ne_zero [MeasurableSingletonClass β] (hY : Measurable Y) (x : β) (hX : μ.map X {x} ≠ 0) (s : Set Ω) : condDistrib Y X μ x s = (μ.map X {x})⁻¹ * μ.map (fun a => (X a, Y a)) ({x} ×ˢ s) := by rw [condDistrib, Measure.condKernel_apply_of_ne_zero _ s] · rw [Measure.fst_map_prod_mk hY] · rwa [Measure.fst_map_prod_mk hY] theorem condDistrib_ae_eq_of_measure_eq_compProd (hX : Measurable X) (hY : Measurable Y) (κ : kernel β Ω) [IsFiniteKernel κ] (hκ : μ.map (fun x => (X x, Y x)) = μ.map X ⊗ₘ κ) : ∀ᵐ x ∂μ.map X, κ x = condDistrib Y X μ x := by have heq : μ.map X = (μ.map (fun x ↦ (X x, Y x))).fst := by ext s hs rw [Measure.map_apply hX hs, Measure.fst_apply hs, Measure.map_apply] exacts [rfl, Measurable.prod hX hY, measurable_fst hs] rw [heq, condDistrib] refine eq_condKernel_of_measure_eq_compProd _ ?_ convert hκ exact heq.symm theorem set_lintegral_preimage_condDistrib (hX : Measurable X) (hY : AEMeasurable Y μ) (hs : MeasurableSet s) (ht : MeasurableSet t) : ∫⁻ a in X ⁻¹' t, condDistrib Y X μ (X a) s ∂μ = μ (X ⁻¹' t ∩ Y ⁻¹' s) := by -- Porting note: need to massage the LHS integrand into the form accepted by `lintegral_comp` -- (`rw` does not see that the two forms are defeq) conv_lhs => arg 2; change (fun a => ((condDistrib Y X μ) a) s) ∘ X rw [lintegral_comp (kernel.measurable_coe _ hs) hX, condDistrib, ← Measure.restrict_map hX ht, ← Measure.fst_map_prod_mk₀ hY, Measure.set_lintegral_condKernel_eq_measure_prod ht hs, Measure.map_apply_of_aemeasurable (hX.aemeasurable.prod_mk hY) (ht.prod hs), mk_preimage_prod] #align probability_theory.set_lintegral_preimage_cond_distrib ProbabilityTheory.set_lintegral_preimage_condDistrib
Mathlib/Probability/Kernel/CondDistrib.lean
209
213
theorem set_lintegral_condDistrib_of_measurableSet (hX : Measurable X) (hY : AEMeasurable Y μ) (hs : MeasurableSet s) {t : Set α} (ht : MeasurableSet[mβ.comap X] t) : ∫⁻ a in t, condDistrib Y X μ (X a) s ∂μ = μ (t ∩ Y ⁻¹' s) := by
obtain ⟨t', ht', rfl⟩ := ht rw [set_lintegral_preimage_condDistrib hX hY hs ht']
2
7.389056
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0.777778
9
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import Mathlib.Analysis.InnerProductSpace.Orthogonal import Mathlib.Analysis.Normed.Group.AddTorsor #align_import geometry.euclidean.basic from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" open Set open scoped RealInnerProductSpace variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] variable [NormedAddTorsor V P] noncomputable section namespace AffineSubspace variable {c c₁ c₂ p₁ p₂ : P} def perpBisector (p₁ p₂ : P) : AffineSubspace ℝ P := .comap ((AffineEquiv.vaddConst ℝ (midpoint ℝ p₁ p₂)).symm : P →ᵃ[ℝ] V) <| (LinearMap.ker (innerₛₗ ℝ (p₂ -ᵥ p₁))).toAffineSubspace theorem mem_perpBisector_iff_inner_eq_zero' : c ∈ perpBisector p₁ p₂ ↔ ⟪p₂ -ᵥ p₁, c -ᵥ midpoint ℝ p₁ p₂⟫ = 0 := Iff.rfl theorem mem_perpBisector_iff_inner_eq_zero : c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ midpoint ℝ p₁ p₂, p₂ -ᵥ p₁⟫ = 0 := inner_eq_zero_symm
Mathlib/Geometry/Euclidean/PerpBisector.lean
53
57
theorem mem_perpBisector_iff_inner_pointReflection_vsub_eq_zero : c ∈ perpBisector p₁ p₂ ↔ ⟪Equiv.pointReflection c p₁ -ᵥ p₂, p₂ -ᵥ p₁⟫ = 0 := by
rw [mem_perpBisector_iff_inner_eq_zero, Equiv.pointReflection_apply, vsub_midpoint, invOf_eq_inv, ← smul_add, real_inner_smul_left, vadd_vsub_assoc] simp
3
20.085537
1
0.777778
9
693
import Mathlib.Analysis.InnerProductSpace.Orthogonal import Mathlib.Analysis.Normed.Group.AddTorsor #align_import geometry.euclidean.basic from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" open Set open scoped RealInnerProductSpace variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] variable [NormedAddTorsor V P] noncomputable section namespace AffineSubspace variable {c c₁ c₂ p₁ p₂ : P} def perpBisector (p₁ p₂ : P) : AffineSubspace ℝ P := .comap ((AffineEquiv.vaddConst ℝ (midpoint ℝ p₁ p₂)).symm : P →ᵃ[ℝ] V) <| (LinearMap.ker (innerₛₗ ℝ (p₂ -ᵥ p₁))).toAffineSubspace theorem mem_perpBisector_iff_inner_eq_zero' : c ∈ perpBisector p₁ p₂ ↔ ⟪p₂ -ᵥ p₁, c -ᵥ midpoint ℝ p₁ p₂⟫ = 0 := Iff.rfl theorem mem_perpBisector_iff_inner_eq_zero : c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ midpoint ℝ p₁ p₂, p₂ -ᵥ p₁⟫ = 0 := inner_eq_zero_symm theorem mem_perpBisector_iff_inner_pointReflection_vsub_eq_zero : c ∈ perpBisector p₁ p₂ ↔ ⟪Equiv.pointReflection c p₁ -ᵥ p₂, p₂ -ᵥ p₁⟫ = 0 := by rw [mem_perpBisector_iff_inner_eq_zero, Equiv.pointReflection_apply, vsub_midpoint, invOf_eq_inv, ← smul_add, real_inner_smul_left, vadd_vsub_assoc] simp
Mathlib/Geometry/Euclidean/PerpBisector.lean
59
63
theorem mem_perpBisector_pointReflection_iff_inner_eq_zero : c ∈ perpBisector p₁ (Equiv.pointReflection p₂ p₁) ↔ ⟪c -ᵥ p₂, p₁ -ᵥ p₂⟫ = 0 := by
rw [mem_perpBisector_iff_inner_eq_zero, midpoint_pointReflection_right, Equiv.pointReflection_apply, vadd_vsub_assoc, inner_add_right, add_self_eq_zero, ← neg_eq_zero, ← inner_neg_right, neg_vsub_eq_vsub_rev]
3
20.085537
1
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9
693
import Mathlib.Analysis.InnerProductSpace.Orthogonal import Mathlib.Analysis.Normed.Group.AddTorsor #align_import geometry.euclidean.basic from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" open Set open scoped RealInnerProductSpace variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] variable [NormedAddTorsor V P] noncomputable section namespace AffineSubspace variable {c c₁ c₂ p₁ p₂ : P} def perpBisector (p₁ p₂ : P) : AffineSubspace ℝ P := .comap ((AffineEquiv.vaddConst ℝ (midpoint ℝ p₁ p₂)).symm : P →ᵃ[ℝ] V) <| (LinearMap.ker (innerₛₗ ℝ (p₂ -ᵥ p₁))).toAffineSubspace theorem mem_perpBisector_iff_inner_eq_zero' : c ∈ perpBisector p₁ p₂ ↔ ⟪p₂ -ᵥ p₁, c -ᵥ midpoint ℝ p₁ p₂⟫ = 0 := Iff.rfl theorem mem_perpBisector_iff_inner_eq_zero : c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ midpoint ℝ p₁ p₂, p₂ -ᵥ p₁⟫ = 0 := inner_eq_zero_symm theorem mem_perpBisector_iff_inner_pointReflection_vsub_eq_zero : c ∈ perpBisector p₁ p₂ ↔ ⟪Equiv.pointReflection c p₁ -ᵥ p₂, p₂ -ᵥ p₁⟫ = 0 := by rw [mem_perpBisector_iff_inner_eq_zero, Equiv.pointReflection_apply, vsub_midpoint, invOf_eq_inv, ← smul_add, real_inner_smul_left, vadd_vsub_assoc] simp theorem mem_perpBisector_pointReflection_iff_inner_eq_zero : c ∈ perpBisector p₁ (Equiv.pointReflection p₂ p₁) ↔ ⟪c -ᵥ p₂, p₁ -ᵥ p₂⟫ = 0 := by rw [mem_perpBisector_iff_inner_eq_zero, midpoint_pointReflection_right, Equiv.pointReflection_apply, vadd_vsub_assoc, inner_add_right, add_self_eq_zero, ← neg_eq_zero, ← inner_neg_right, neg_vsub_eq_vsub_rev]
Mathlib/Geometry/Euclidean/PerpBisector.lean
65
67
theorem midpoint_mem_perpBisector (p₁ p₂ : P) : midpoint ℝ p₁ p₂ ∈ perpBisector p₁ p₂ := by
simp [mem_perpBisector_iff_inner_eq_zero]
1
2.718282
0
0.777778
9
693
import Mathlib.Analysis.InnerProductSpace.Orthogonal import Mathlib.Analysis.Normed.Group.AddTorsor #align_import geometry.euclidean.basic from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" open Set open scoped RealInnerProductSpace variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] variable [NormedAddTorsor V P] noncomputable section namespace AffineSubspace variable {c c₁ c₂ p₁ p₂ : P} def perpBisector (p₁ p₂ : P) : AffineSubspace ℝ P := .comap ((AffineEquiv.vaddConst ℝ (midpoint ℝ p₁ p₂)).symm : P →ᵃ[ℝ] V) <| (LinearMap.ker (innerₛₗ ℝ (p₂ -ᵥ p₁))).toAffineSubspace theorem mem_perpBisector_iff_inner_eq_zero' : c ∈ perpBisector p₁ p₂ ↔ ⟪p₂ -ᵥ p₁, c -ᵥ midpoint ℝ p₁ p₂⟫ = 0 := Iff.rfl theorem mem_perpBisector_iff_inner_eq_zero : c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ midpoint ℝ p₁ p₂, p₂ -ᵥ p₁⟫ = 0 := inner_eq_zero_symm theorem mem_perpBisector_iff_inner_pointReflection_vsub_eq_zero : c ∈ perpBisector p₁ p₂ ↔ ⟪Equiv.pointReflection c p₁ -ᵥ p₂, p₂ -ᵥ p₁⟫ = 0 := by rw [mem_perpBisector_iff_inner_eq_zero, Equiv.pointReflection_apply, vsub_midpoint, invOf_eq_inv, ← smul_add, real_inner_smul_left, vadd_vsub_assoc] simp theorem mem_perpBisector_pointReflection_iff_inner_eq_zero : c ∈ perpBisector p₁ (Equiv.pointReflection p₂ p₁) ↔ ⟪c -ᵥ p₂, p₁ -ᵥ p₂⟫ = 0 := by rw [mem_perpBisector_iff_inner_eq_zero, midpoint_pointReflection_right, Equiv.pointReflection_apply, vadd_vsub_assoc, inner_add_right, add_self_eq_zero, ← neg_eq_zero, ← inner_neg_right, neg_vsub_eq_vsub_rev] theorem midpoint_mem_perpBisector (p₁ p₂ : P) : midpoint ℝ p₁ p₂ ∈ perpBisector p₁ p₂ := by simp [mem_perpBisector_iff_inner_eq_zero] theorem perpBisector_nonempty : (perpBisector p₁ p₂ : Set P).Nonempty := ⟨_, midpoint_mem_perpBisector _ _⟩ @[simp]
Mathlib/Geometry/Euclidean/PerpBisector.lean
73
78
theorem direction_perpBisector (p₁ p₂ : P) : (perpBisector p₁ p₂).direction = (ℝ ∙ (p₂ -ᵥ p₁))ᗮ := by
erw [perpBisector, comap_symm, map_direction, Submodule.map_id, Submodule.toAffineSubspace_direction] ext x exact Submodule.mem_orthogonal_singleton_iff_inner_right.symm
4
54.59815
2
0.777778
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693
import Mathlib.Analysis.InnerProductSpace.Orthogonal import Mathlib.Analysis.Normed.Group.AddTorsor #align_import geometry.euclidean.basic from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" open Set open scoped RealInnerProductSpace variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] variable [NormedAddTorsor V P] noncomputable section namespace AffineSubspace variable {c c₁ c₂ p₁ p₂ : P} def perpBisector (p₁ p₂ : P) : AffineSubspace ℝ P := .comap ((AffineEquiv.vaddConst ℝ (midpoint ℝ p₁ p₂)).symm : P →ᵃ[ℝ] V) <| (LinearMap.ker (innerₛₗ ℝ (p₂ -ᵥ p₁))).toAffineSubspace theorem mem_perpBisector_iff_inner_eq_zero' : c ∈ perpBisector p₁ p₂ ↔ ⟪p₂ -ᵥ p₁, c -ᵥ midpoint ℝ p₁ p₂⟫ = 0 := Iff.rfl theorem mem_perpBisector_iff_inner_eq_zero : c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ midpoint ℝ p₁ p₂, p₂ -ᵥ p₁⟫ = 0 := inner_eq_zero_symm theorem mem_perpBisector_iff_inner_pointReflection_vsub_eq_zero : c ∈ perpBisector p₁ p₂ ↔ ⟪Equiv.pointReflection c p₁ -ᵥ p₂, p₂ -ᵥ p₁⟫ = 0 := by rw [mem_perpBisector_iff_inner_eq_zero, Equiv.pointReflection_apply, vsub_midpoint, invOf_eq_inv, ← smul_add, real_inner_smul_left, vadd_vsub_assoc] simp theorem mem_perpBisector_pointReflection_iff_inner_eq_zero : c ∈ perpBisector p₁ (Equiv.pointReflection p₂ p₁) ↔ ⟪c -ᵥ p₂, p₁ -ᵥ p₂⟫ = 0 := by rw [mem_perpBisector_iff_inner_eq_zero, midpoint_pointReflection_right, Equiv.pointReflection_apply, vadd_vsub_assoc, inner_add_right, add_self_eq_zero, ← neg_eq_zero, ← inner_neg_right, neg_vsub_eq_vsub_rev] theorem midpoint_mem_perpBisector (p₁ p₂ : P) : midpoint ℝ p₁ p₂ ∈ perpBisector p₁ p₂ := by simp [mem_perpBisector_iff_inner_eq_zero] theorem perpBisector_nonempty : (perpBisector p₁ p₂ : Set P).Nonempty := ⟨_, midpoint_mem_perpBisector _ _⟩ @[simp] theorem direction_perpBisector (p₁ p₂ : P) : (perpBisector p₁ p₂).direction = (ℝ ∙ (p₂ -ᵥ p₁))ᗮ := by erw [perpBisector, comap_symm, map_direction, Submodule.map_id, Submodule.toAffineSubspace_direction] ext x exact Submodule.mem_orthogonal_singleton_iff_inner_right.symm
Mathlib/Geometry/Euclidean/PerpBisector.lean
80
84
theorem mem_perpBisector_iff_inner_eq_inner : c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ p₁, p₂ -ᵥ p₁⟫ = ⟪c -ᵥ p₂, p₁ -ᵥ p₂⟫ := by
rw [Iff.comm, mem_perpBisector_iff_inner_eq_zero, ← add_neg_eq_zero, ← inner_neg_right, neg_vsub_eq_vsub_rev, ← inner_add_left, vsub_midpoint, invOf_eq_inv, ← smul_add, real_inner_smul_left]; simp
3
20.085537
1
0.777778
9
693
import Mathlib.Analysis.InnerProductSpace.Orthogonal import Mathlib.Analysis.Normed.Group.AddTorsor #align_import geometry.euclidean.basic from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" open Set open scoped RealInnerProductSpace variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] variable [NormedAddTorsor V P] noncomputable section namespace AffineSubspace variable {c c₁ c₂ p₁ p₂ : P} def perpBisector (p₁ p₂ : P) : AffineSubspace ℝ P := .comap ((AffineEquiv.vaddConst ℝ (midpoint ℝ p₁ p₂)).symm : P →ᵃ[ℝ] V) <| (LinearMap.ker (innerₛₗ ℝ (p₂ -ᵥ p₁))).toAffineSubspace theorem mem_perpBisector_iff_inner_eq_zero' : c ∈ perpBisector p₁ p₂ ↔ ⟪p₂ -ᵥ p₁, c -ᵥ midpoint ℝ p₁ p₂⟫ = 0 := Iff.rfl theorem mem_perpBisector_iff_inner_eq_zero : c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ midpoint ℝ p₁ p₂, p₂ -ᵥ p₁⟫ = 0 := inner_eq_zero_symm theorem mem_perpBisector_iff_inner_pointReflection_vsub_eq_zero : c ∈ perpBisector p₁ p₂ ↔ ⟪Equiv.pointReflection c p₁ -ᵥ p₂, p₂ -ᵥ p₁⟫ = 0 := by rw [mem_perpBisector_iff_inner_eq_zero, Equiv.pointReflection_apply, vsub_midpoint, invOf_eq_inv, ← smul_add, real_inner_smul_left, vadd_vsub_assoc] simp theorem mem_perpBisector_pointReflection_iff_inner_eq_zero : c ∈ perpBisector p₁ (Equiv.pointReflection p₂ p₁) ↔ ⟪c -ᵥ p₂, p₁ -ᵥ p₂⟫ = 0 := by rw [mem_perpBisector_iff_inner_eq_zero, midpoint_pointReflection_right, Equiv.pointReflection_apply, vadd_vsub_assoc, inner_add_right, add_self_eq_zero, ← neg_eq_zero, ← inner_neg_right, neg_vsub_eq_vsub_rev] theorem midpoint_mem_perpBisector (p₁ p₂ : P) : midpoint ℝ p₁ p₂ ∈ perpBisector p₁ p₂ := by simp [mem_perpBisector_iff_inner_eq_zero] theorem perpBisector_nonempty : (perpBisector p₁ p₂ : Set P).Nonempty := ⟨_, midpoint_mem_perpBisector _ _⟩ @[simp] theorem direction_perpBisector (p₁ p₂ : P) : (perpBisector p₁ p₂).direction = (ℝ ∙ (p₂ -ᵥ p₁))ᗮ := by erw [perpBisector, comap_symm, map_direction, Submodule.map_id, Submodule.toAffineSubspace_direction] ext x exact Submodule.mem_orthogonal_singleton_iff_inner_right.symm theorem mem_perpBisector_iff_inner_eq_inner : c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ p₁, p₂ -ᵥ p₁⟫ = ⟪c -ᵥ p₂, p₁ -ᵥ p₂⟫ := by rw [Iff.comm, mem_perpBisector_iff_inner_eq_zero, ← add_neg_eq_zero, ← inner_neg_right, neg_vsub_eq_vsub_rev, ← inner_add_left, vsub_midpoint, invOf_eq_inv, ← smul_add, real_inner_smul_left]; simp
Mathlib/Geometry/Euclidean/PerpBisector.lean
86
90
theorem mem_perpBisector_iff_inner_eq : c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ p₁, p₂ -ᵥ p₁⟫ = (dist p₁ p₂) ^ 2 / 2 := by
rw [mem_perpBisector_iff_inner_eq_zero, ← vsub_sub_vsub_cancel_right _ _ p₁, inner_sub_left, sub_eq_zero, midpoint_vsub_left, invOf_eq_inv, real_inner_smul_left, real_inner_self_eq_norm_sq, dist_eq_norm_vsub' V, div_eq_inv_mul]
3
20.085537
1
0.777778
9
693
import Mathlib.Analysis.InnerProductSpace.Orthogonal import Mathlib.Analysis.Normed.Group.AddTorsor #align_import geometry.euclidean.basic from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" open Set open scoped RealInnerProductSpace variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] variable [NormedAddTorsor V P] noncomputable section namespace AffineSubspace variable {c c₁ c₂ p₁ p₂ : P} def perpBisector (p₁ p₂ : P) : AffineSubspace ℝ P := .comap ((AffineEquiv.vaddConst ℝ (midpoint ℝ p₁ p₂)).symm : P →ᵃ[ℝ] V) <| (LinearMap.ker (innerₛₗ ℝ (p₂ -ᵥ p₁))).toAffineSubspace theorem mem_perpBisector_iff_inner_eq_zero' : c ∈ perpBisector p₁ p₂ ↔ ⟪p₂ -ᵥ p₁, c -ᵥ midpoint ℝ p₁ p₂⟫ = 0 := Iff.rfl theorem mem_perpBisector_iff_inner_eq_zero : c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ midpoint ℝ p₁ p₂, p₂ -ᵥ p₁⟫ = 0 := inner_eq_zero_symm theorem mem_perpBisector_iff_inner_pointReflection_vsub_eq_zero : c ∈ perpBisector p₁ p₂ ↔ ⟪Equiv.pointReflection c p₁ -ᵥ p₂, p₂ -ᵥ p₁⟫ = 0 := by rw [mem_perpBisector_iff_inner_eq_zero, Equiv.pointReflection_apply, vsub_midpoint, invOf_eq_inv, ← smul_add, real_inner_smul_left, vadd_vsub_assoc] simp theorem mem_perpBisector_pointReflection_iff_inner_eq_zero : c ∈ perpBisector p₁ (Equiv.pointReflection p₂ p₁) ↔ ⟪c -ᵥ p₂, p₁ -ᵥ p₂⟫ = 0 := by rw [mem_perpBisector_iff_inner_eq_zero, midpoint_pointReflection_right, Equiv.pointReflection_apply, vadd_vsub_assoc, inner_add_right, add_self_eq_zero, ← neg_eq_zero, ← inner_neg_right, neg_vsub_eq_vsub_rev] theorem midpoint_mem_perpBisector (p₁ p₂ : P) : midpoint ℝ p₁ p₂ ∈ perpBisector p₁ p₂ := by simp [mem_perpBisector_iff_inner_eq_zero] theorem perpBisector_nonempty : (perpBisector p₁ p₂ : Set P).Nonempty := ⟨_, midpoint_mem_perpBisector _ _⟩ @[simp] theorem direction_perpBisector (p₁ p₂ : P) : (perpBisector p₁ p₂).direction = (ℝ ∙ (p₂ -ᵥ p₁))ᗮ := by erw [perpBisector, comap_symm, map_direction, Submodule.map_id, Submodule.toAffineSubspace_direction] ext x exact Submodule.mem_orthogonal_singleton_iff_inner_right.symm theorem mem_perpBisector_iff_inner_eq_inner : c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ p₁, p₂ -ᵥ p₁⟫ = ⟪c -ᵥ p₂, p₁ -ᵥ p₂⟫ := by rw [Iff.comm, mem_perpBisector_iff_inner_eq_zero, ← add_neg_eq_zero, ← inner_neg_right, neg_vsub_eq_vsub_rev, ← inner_add_left, vsub_midpoint, invOf_eq_inv, ← smul_add, real_inner_smul_left]; simp theorem mem_perpBisector_iff_inner_eq : c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ p₁, p₂ -ᵥ p₁⟫ = (dist p₁ p₂) ^ 2 / 2 := by rw [mem_perpBisector_iff_inner_eq_zero, ← vsub_sub_vsub_cancel_right _ _ p₁, inner_sub_left, sub_eq_zero, midpoint_vsub_left, invOf_eq_inv, real_inner_smul_left, real_inner_self_eq_norm_sq, dist_eq_norm_vsub' V, div_eq_inv_mul]
Mathlib/Geometry/Euclidean/PerpBisector.lean
92
95
theorem mem_perpBisector_iff_dist_eq : c ∈ perpBisector p₁ p₂ ↔ dist c p₁ = dist c p₂ := by
rw [dist_eq_norm_vsub V, dist_eq_norm_vsub V, ← real_inner_add_sub_eq_zero_iff, vsub_sub_vsub_cancel_left, inner_add_left, add_eq_zero_iff_eq_neg, ← inner_neg_right, neg_vsub_eq_vsub_rev, mem_perpBisector_iff_inner_eq_inner]
3
20.085537
1
0.777778
9
693
import Mathlib.Analysis.InnerProductSpace.Orthogonal import Mathlib.Analysis.Normed.Group.AddTorsor #align_import geometry.euclidean.basic from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" open Set open scoped RealInnerProductSpace variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] variable [NormedAddTorsor V P] noncomputable section namespace AffineSubspace variable {c c₁ c₂ p₁ p₂ : P} def perpBisector (p₁ p₂ : P) : AffineSubspace ℝ P := .comap ((AffineEquiv.vaddConst ℝ (midpoint ℝ p₁ p₂)).symm : P →ᵃ[ℝ] V) <| (LinearMap.ker (innerₛₗ ℝ (p₂ -ᵥ p₁))).toAffineSubspace theorem mem_perpBisector_iff_inner_eq_zero' : c ∈ perpBisector p₁ p₂ ↔ ⟪p₂ -ᵥ p₁, c -ᵥ midpoint ℝ p₁ p₂⟫ = 0 := Iff.rfl theorem mem_perpBisector_iff_inner_eq_zero : c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ midpoint ℝ p₁ p₂, p₂ -ᵥ p₁⟫ = 0 := inner_eq_zero_symm theorem mem_perpBisector_iff_inner_pointReflection_vsub_eq_zero : c ∈ perpBisector p₁ p₂ ↔ ⟪Equiv.pointReflection c p₁ -ᵥ p₂, p₂ -ᵥ p₁⟫ = 0 := by rw [mem_perpBisector_iff_inner_eq_zero, Equiv.pointReflection_apply, vsub_midpoint, invOf_eq_inv, ← smul_add, real_inner_smul_left, vadd_vsub_assoc] simp theorem mem_perpBisector_pointReflection_iff_inner_eq_zero : c ∈ perpBisector p₁ (Equiv.pointReflection p₂ p₁) ↔ ⟪c -ᵥ p₂, p₁ -ᵥ p₂⟫ = 0 := by rw [mem_perpBisector_iff_inner_eq_zero, midpoint_pointReflection_right, Equiv.pointReflection_apply, vadd_vsub_assoc, inner_add_right, add_self_eq_zero, ← neg_eq_zero, ← inner_neg_right, neg_vsub_eq_vsub_rev] theorem midpoint_mem_perpBisector (p₁ p₂ : P) : midpoint ℝ p₁ p₂ ∈ perpBisector p₁ p₂ := by simp [mem_perpBisector_iff_inner_eq_zero] theorem perpBisector_nonempty : (perpBisector p₁ p₂ : Set P).Nonempty := ⟨_, midpoint_mem_perpBisector _ _⟩ @[simp] theorem direction_perpBisector (p₁ p₂ : P) : (perpBisector p₁ p₂).direction = (ℝ ∙ (p₂ -ᵥ p₁))ᗮ := by erw [perpBisector, comap_symm, map_direction, Submodule.map_id, Submodule.toAffineSubspace_direction] ext x exact Submodule.mem_orthogonal_singleton_iff_inner_right.symm theorem mem_perpBisector_iff_inner_eq_inner : c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ p₁, p₂ -ᵥ p₁⟫ = ⟪c -ᵥ p₂, p₁ -ᵥ p₂⟫ := by rw [Iff.comm, mem_perpBisector_iff_inner_eq_zero, ← add_neg_eq_zero, ← inner_neg_right, neg_vsub_eq_vsub_rev, ← inner_add_left, vsub_midpoint, invOf_eq_inv, ← smul_add, real_inner_smul_left]; simp theorem mem_perpBisector_iff_inner_eq : c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ p₁, p₂ -ᵥ p₁⟫ = (dist p₁ p₂) ^ 2 / 2 := by rw [mem_perpBisector_iff_inner_eq_zero, ← vsub_sub_vsub_cancel_right _ _ p₁, inner_sub_left, sub_eq_zero, midpoint_vsub_left, invOf_eq_inv, real_inner_smul_left, real_inner_self_eq_norm_sq, dist_eq_norm_vsub' V, div_eq_inv_mul] theorem mem_perpBisector_iff_dist_eq : c ∈ perpBisector p₁ p₂ ↔ dist c p₁ = dist c p₂ := by rw [dist_eq_norm_vsub V, dist_eq_norm_vsub V, ← real_inner_add_sub_eq_zero_iff, vsub_sub_vsub_cancel_left, inner_add_left, add_eq_zero_iff_eq_neg, ← inner_neg_right, neg_vsub_eq_vsub_rev, mem_perpBisector_iff_inner_eq_inner]
Mathlib/Geometry/Euclidean/PerpBisector.lean
97
98
theorem mem_perpBisector_iff_dist_eq' : c ∈ perpBisector p₁ p₂ ↔ dist p₁ c = dist p₂ c := by
simp only [mem_perpBisector_iff_dist_eq, dist_comm]
1
2.718282
0
0.777778
9
693
import Mathlib.Analysis.InnerProductSpace.Orthogonal import Mathlib.Analysis.Normed.Group.AddTorsor #align_import geometry.euclidean.basic from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" open Set open scoped RealInnerProductSpace variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] variable [NormedAddTorsor V P] noncomputable section namespace AffineSubspace variable {c c₁ c₂ p₁ p₂ : P} def perpBisector (p₁ p₂ : P) : AffineSubspace ℝ P := .comap ((AffineEquiv.vaddConst ℝ (midpoint ℝ p₁ p₂)).symm : P →ᵃ[ℝ] V) <| (LinearMap.ker (innerₛₗ ℝ (p₂ -ᵥ p₁))).toAffineSubspace theorem mem_perpBisector_iff_inner_eq_zero' : c ∈ perpBisector p₁ p₂ ↔ ⟪p₂ -ᵥ p₁, c -ᵥ midpoint ℝ p₁ p₂⟫ = 0 := Iff.rfl theorem mem_perpBisector_iff_inner_eq_zero : c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ midpoint ℝ p₁ p₂, p₂ -ᵥ p₁⟫ = 0 := inner_eq_zero_symm theorem mem_perpBisector_iff_inner_pointReflection_vsub_eq_zero : c ∈ perpBisector p₁ p₂ ↔ ⟪Equiv.pointReflection c p₁ -ᵥ p₂, p₂ -ᵥ p₁⟫ = 0 := by rw [mem_perpBisector_iff_inner_eq_zero, Equiv.pointReflection_apply, vsub_midpoint, invOf_eq_inv, ← smul_add, real_inner_smul_left, vadd_vsub_assoc] simp theorem mem_perpBisector_pointReflection_iff_inner_eq_zero : c ∈ perpBisector p₁ (Equiv.pointReflection p₂ p₁) ↔ ⟪c -ᵥ p₂, p₁ -ᵥ p₂⟫ = 0 := by rw [mem_perpBisector_iff_inner_eq_zero, midpoint_pointReflection_right, Equiv.pointReflection_apply, vadd_vsub_assoc, inner_add_right, add_self_eq_zero, ← neg_eq_zero, ← inner_neg_right, neg_vsub_eq_vsub_rev] theorem midpoint_mem_perpBisector (p₁ p₂ : P) : midpoint ℝ p₁ p₂ ∈ perpBisector p₁ p₂ := by simp [mem_perpBisector_iff_inner_eq_zero] theorem perpBisector_nonempty : (perpBisector p₁ p₂ : Set P).Nonempty := ⟨_, midpoint_mem_perpBisector _ _⟩ @[simp] theorem direction_perpBisector (p₁ p₂ : P) : (perpBisector p₁ p₂).direction = (ℝ ∙ (p₂ -ᵥ p₁))ᗮ := by erw [perpBisector, comap_symm, map_direction, Submodule.map_id, Submodule.toAffineSubspace_direction] ext x exact Submodule.mem_orthogonal_singleton_iff_inner_right.symm theorem mem_perpBisector_iff_inner_eq_inner : c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ p₁, p₂ -ᵥ p₁⟫ = ⟪c -ᵥ p₂, p₁ -ᵥ p₂⟫ := by rw [Iff.comm, mem_perpBisector_iff_inner_eq_zero, ← add_neg_eq_zero, ← inner_neg_right, neg_vsub_eq_vsub_rev, ← inner_add_left, vsub_midpoint, invOf_eq_inv, ← smul_add, real_inner_smul_left]; simp theorem mem_perpBisector_iff_inner_eq : c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ p₁, p₂ -ᵥ p₁⟫ = (dist p₁ p₂) ^ 2 / 2 := by rw [mem_perpBisector_iff_inner_eq_zero, ← vsub_sub_vsub_cancel_right _ _ p₁, inner_sub_left, sub_eq_zero, midpoint_vsub_left, invOf_eq_inv, real_inner_smul_left, real_inner_self_eq_norm_sq, dist_eq_norm_vsub' V, div_eq_inv_mul] theorem mem_perpBisector_iff_dist_eq : c ∈ perpBisector p₁ p₂ ↔ dist c p₁ = dist c p₂ := by rw [dist_eq_norm_vsub V, dist_eq_norm_vsub V, ← real_inner_add_sub_eq_zero_iff, vsub_sub_vsub_cancel_left, inner_add_left, add_eq_zero_iff_eq_neg, ← inner_neg_right, neg_vsub_eq_vsub_rev, mem_perpBisector_iff_inner_eq_inner] theorem mem_perpBisector_iff_dist_eq' : c ∈ perpBisector p₁ p₂ ↔ dist p₁ c = dist p₂ c := by simp only [mem_perpBisector_iff_dist_eq, dist_comm]
Mathlib/Geometry/Euclidean/PerpBisector.lean
100
101
theorem perpBisector_comm (p₁ p₂ : P) : perpBisector p₁ p₂ = perpBisector p₂ p₁ := by
ext c; simp only [mem_perpBisector_iff_dist_eq, eq_comm]
1
2.718282
0
0.777778
9
693
import Mathlib.Algebra.BigOperators.Fin import Mathlib.Data.Nat.Choose.Sum import Mathlib.Data.Nat.Factorial.BigOperators import Mathlib.Data.Fin.VecNotation import Mathlib.Data.Finset.Sym import Mathlib.Data.Finsupp.Multiset #align_import data.nat.choose.multinomial from "leanprover-community/mathlib"@"2738d2ca56cbc63be80c3bd48e9ed90ad94e947d" open Finset open scoped Nat namespace Nat variable {α : Type*} (s : Finset α) (f : α → ℕ) {a b : α} (n : ℕ) def multinomial : ℕ := (∑ i ∈ s, f i)! / ∏ i ∈ s, (f i)! #align nat.multinomial Nat.multinomial theorem multinomial_pos : 0 < multinomial s f := Nat.div_pos (le_of_dvd (factorial_pos _) (prod_factorial_dvd_factorial_sum s f)) (prod_factorial_pos s f) #align nat.multinomial_pos Nat.multinomial_pos theorem multinomial_spec : (∏ i ∈ s, (f i)!) * multinomial s f = (∑ i ∈ s, f i)! := Nat.mul_div_cancel' (prod_factorial_dvd_factorial_sum s f) #align nat.multinomial_spec Nat.multinomial_spec @[simp] lemma multinomial_empty : multinomial ∅ f = 1 := by simp [multinomial] #align nat.multinomial_nil Nat.multinomial_empty @[deprecated (since := "2024-06-01")] alias multinomial_nil := multinomial_empty variable {s f} lemma multinomial_cons (ha : a ∉ s) (f : α → ℕ) : multinomial (s.cons a ha) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by rw [multinomial, Nat.div_eq_iff_eq_mul_left _ (prod_factorial_dvd_factorial_sum _ _), prod_cons, multinomial, mul_assoc, mul_left_comm _ (f a)!, Nat.div_mul_cancel (prod_factorial_dvd_factorial_sum _ _), ← mul_assoc, Nat.choose_symm_add, Nat.add_choose_mul_factorial_mul_factorial, Finset.sum_cons] positivity lemma multinomial_insert [DecidableEq α] (ha : a ∉ s) (f : α → ℕ) : multinomial (insert a s) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by rw [← cons_eq_insert _ _ ha, multinomial_cons] #align nat.multinomial_insert Nat.multinomial_insert @[simp] lemma multinomial_singleton (a : α) (f : α → ℕ) : multinomial {a} f = 1 := by rw [← cons_empty, multinomial_cons]; simp #align nat.multinomial_singleton Nat.multinomial_singleton @[simp]
Mathlib/Data/Nat/Choose/Multinomial.lean
80
85
theorem multinomial_insert_one [DecidableEq α] (h : a ∉ s) (h₁ : f a = 1) : multinomial (insert a s) f = (s.sum f).succ * multinomial s f := by
simp only [multinomial, one_mul, factorial] rw [Finset.sum_insert h, Finset.prod_insert h, h₁, add_comm, ← succ_eq_add_one, factorial_succ] simp only [factorial_one, one_mul, Function.comp_apply, factorial, mul_one, ← one_eq_succ_zero] rw [Nat.mul_div_assoc _ (prod_factorial_dvd_factorial_sum _ _)]
4
54.59815
2
0.777778
9
694
import Mathlib.Algebra.BigOperators.Fin import Mathlib.Data.Nat.Choose.Sum import Mathlib.Data.Nat.Factorial.BigOperators import Mathlib.Data.Fin.VecNotation import Mathlib.Data.Finset.Sym import Mathlib.Data.Finsupp.Multiset #align_import data.nat.choose.multinomial from "leanprover-community/mathlib"@"2738d2ca56cbc63be80c3bd48e9ed90ad94e947d" open Finset open scoped Nat namespace Nat variable {α : Type*} (s : Finset α) (f : α → ℕ) {a b : α} (n : ℕ) def multinomial : ℕ := (∑ i ∈ s, f i)! / ∏ i ∈ s, (f i)! #align nat.multinomial Nat.multinomial theorem multinomial_pos : 0 < multinomial s f := Nat.div_pos (le_of_dvd (factorial_pos _) (prod_factorial_dvd_factorial_sum s f)) (prod_factorial_pos s f) #align nat.multinomial_pos Nat.multinomial_pos theorem multinomial_spec : (∏ i ∈ s, (f i)!) * multinomial s f = (∑ i ∈ s, f i)! := Nat.mul_div_cancel' (prod_factorial_dvd_factorial_sum s f) #align nat.multinomial_spec Nat.multinomial_spec @[simp] lemma multinomial_empty : multinomial ∅ f = 1 := by simp [multinomial] #align nat.multinomial_nil Nat.multinomial_empty @[deprecated (since := "2024-06-01")] alias multinomial_nil := multinomial_empty variable {s f} lemma multinomial_cons (ha : a ∉ s) (f : α → ℕ) : multinomial (s.cons a ha) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by rw [multinomial, Nat.div_eq_iff_eq_mul_left _ (prod_factorial_dvd_factorial_sum _ _), prod_cons, multinomial, mul_assoc, mul_left_comm _ (f a)!, Nat.div_mul_cancel (prod_factorial_dvd_factorial_sum _ _), ← mul_assoc, Nat.choose_symm_add, Nat.add_choose_mul_factorial_mul_factorial, Finset.sum_cons] positivity lemma multinomial_insert [DecidableEq α] (ha : a ∉ s) (f : α → ℕ) : multinomial (insert a s) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by rw [← cons_eq_insert _ _ ha, multinomial_cons] #align nat.multinomial_insert Nat.multinomial_insert @[simp] lemma multinomial_singleton (a : α) (f : α → ℕ) : multinomial {a} f = 1 := by rw [← cons_empty, multinomial_cons]; simp #align nat.multinomial_singleton Nat.multinomial_singleton @[simp] theorem multinomial_insert_one [DecidableEq α] (h : a ∉ s) (h₁ : f a = 1) : multinomial (insert a s) f = (s.sum f).succ * multinomial s f := by simp only [multinomial, one_mul, factorial] rw [Finset.sum_insert h, Finset.prod_insert h, h₁, add_comm, ← succ_eq_add_one, factorial_succ] simp only [factorial_one, one_mul, Function.comp_apply, factorial, mul_one, ← one_eq_succ_zero] rw [Nat.mul_div_assoc _ (prod_factorial_dvd_factorial_sum _ _)] #align nat.multinomial_insert_one Nat.multinomial_insert_one
Mathlib/Data/Nat/Choose/Multinomial.lean
88
92
theorem multinomial_congr {f g : α → ℕ} (h : ∀ a ∈ s, f a = g a) : multinomial s f = multinomial s g := by
simp only [multinomial]; congr 1 · rw [Finset.sum_congr rfl h] · exact Finset.prod_congr rfl fun a ha => by rw [h a ha]
3
20.085537
1
0.777778
9
694
import Mathlib.Algebra.BigOperators.Fin import Mathlib.Data.Nat.Choose.Sum import Mathlib.Data.Nat.Factorial.BigOperators import Mathlib.Data.Fin.VecNotation import Mathlib.Data.Finset.Sym import Mathlib.Data.Finsupp.Multiset #align_import data.nat.choose.multinomial from "leanprover-community/mathlib"@"2738d2ca56cbc63be80c3bd48e9ed90ad94e947d" open Finset open scoped Nat namespace Nat variable {α : Type*} (s : Finset α) (f : α → ℕ) {a b : α} (n : ℕ) def multinomial : ℕ := (∑ i ∈ s, f i)! / ∏ i ∈ s, (f i)! #align nat.multinomial Nat.multinomial theorem multinomial_pos : 0 < multinomial s f := Nat.div_pos (le_of_dvd (factorial_pos _) (prod_factorial_dvd_factorial_sum s f)) (prod_factorial_pos s f) #align nat.multinomial_pos Nat.multinomial_pos theorem multinomial_spec : (∏ i ∈ s, (f i)!) * multinomial s f = (∑ i ∈ s, f i)! := Nat.mul_div_cancel' (prod_factorial_dvd_factorial_sum s f) #align nat.multinomial_spec Nat.multinomial_spec @[simp] lemma multinomial_empty : multinomial ∅ f = 1 := by simp [multinomial] #align nat.multinomial_nil Nat.multinomial_empty @[deprecated (since := "2024-06-01")] alias multinomial_nil := multinomial_empty variable {s f} lemma multinomial_cons (ha : a ∉ s) (f : α → ℕ) : multinomial (s.cons a ha) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by rw [multinomial, Nat.div_eq_iff_eq_mul_left _ (prod_factorial_dvd_factorial_sum _ _), prod_cons, multinomial, mul_assoc, mul_left_comm _ (f a)!, Nat.div_mul_cancel (prod_factorial_dvd_factorial_sum _ _), ← mul_assoc, Nat.choose_symm_add, Nat.add_choose_mul_factorial_mul_factorial, Finset.sum_cons] positivity lemma multinomial_insert [DecidableEq α] (ha : a ∉ s) (f : α → ℕ) : multinomial (insert a s) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by rw [← cons_eq_insert _ _ ha, multinomial_cons] #align nat.multinomial_insert Nat.multinomial_insert @[simp] lemma multinomial_singleton (a : α) (f : α → ℕ) : multinomial {a} f = 1 := by rw [← cons_empty, multinomial_cons]; simp #align nat.multinomial_singleton Nat.multinomial_singleton @[simp] theorem multinomial_insert_one [DecidableEq α] (h : a ∉ s) (h₁ : f a = 1) : multinomial (insert a s) f = (s.sum f).succ * multinomial s f := by simp only [multinomial, one_mul, factorial] rw [Finset.sum_insert h, Finset.prod_insert h, h₁, add_comm, ← succ_eq_add_one, factorial_succ] simp only [factorial_one, one_mul, Function.comp_apply, factorial, mul_one, ← one_eq_succ_zero] rw [Nat.mul_div_assoc _ (prod_factorial_dvd_factorial_sum _ _)] #align nat.multinomial_insert_one Nat.multinomial_insert_one theorem multinomial_congr {f g : α → ℕ} (h : ∀ a ∈ s, f a = g a) : multinomial s f = multinomial s g := by simp only [multinomial]; congr 1 · rw [Finset.sum_congr rfl h] · exact Finset.prod_congr rfl fun a ha => by rw [h a ha] #align nat.multinomial_congr Nat.multinomial_congr
Mathlib/Data/Nat/Choose/Multinomial.lean
102
104
theorem binomial_eq [DecidableEq α] (h : a ≠ b) : multinomial {a, b} f = (f a + f b)! / ((f a)! * (f b)!) := by
simp [multinomial, Finset.sum_pair h, Finset.prod_pair h]
1
2.718282
0
0.777778
9
694
import Mathlib.Algebra.BigOperators.Fin import Mathlib.Data.Nat.Choose.Sum import Mathlib.Data.Nat.Factorial.BigOperators import Mathlib.Data.Fin.VecNotation import Mathlib.Data.Finset.Sym import Mathlib.Data.Finsupp.Multiset #align_import data.nat.choose.multinomial from "leanprover-community/mathlib"@"2738d2ca56cbc63be80c3bd48e9ed90ad94e947d" open Finset open scoped Nat namespace Nat variable {α : Type*} (s : Finset α) (f : α → ℕ) {a b : α} (n : ℕ) def multinomial : ℕ := (∑ i ∈ s, f i)! / ∏ i ∈ s, (f i)! #align nat.multinomial Nat.multinomial theorem multinomial_pos : 0 < multinomial s f := Nat.div_pos (le_of_dvd (factorial_pos _) (prod_factorial_dvd_factorial_sum s f)) (prod_factorial_pos s f) #align nat.multinomial_pos Nat.multinomial_pos theorem multinomial_spec : (∏ i ∈ s, (f i)!) * multinomial s f = (∑ i ∈ s, f i)! := Nat.mul_div_cancel' (prod_factorial_dvd_factorial_sum s f) #align nat.multinomial_spec Nat.multinomial_spec @[simp] lemma multinomial_empty : multinomial ∅ f = 1 := by simp [multinomial] #align nat.multinomial_nil Nat.multinomial_empty @[deprecated (since := "2024-06-01")] alias multinomial_nil := multinomial_empty variable {s f} lemma multinomial_cons (ha : a ∉ s) (f : α → ℕ) : multinomial (s.cons a ha) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by rw [multinomial, Nat.div_eq_iff_eq_mul_left _ (prod_factorial_dvd_factorial_sum _ _), prod_cons, multinomial, mul_assoc, mul_left_comm _ (f a)!, Nat.div_mul_cancel (prod_factorial_dvd_factorial_sum _ _), ← mul_assoc, Nat.choose_symm_add, Nat.add_choose_mul_factorial_mul_factorial, Finset.sum_cons] positivity lemma multinomial_insert [DecidableEq α] (ha : a ∉ s) (f : α → ℕ) : multinomial (insert a s) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by rw [← cons_eq_insert _ _ ha, multinomial_cons] #align nat.multinomial_insert Nat.multinomial_insert @[simp] lemma multinomial_singleton (a : α) (f : α → ℕ) : multinomial {a} f = 1 := by rw [← cons_empty, multinomial_cons]; simp #align nat.multinomial_singleton Nat.multinomial_singleton @[simp] theorem multinomial_insert_one [DecidableEq α] (h : a ∉ s) (h₁ : f a = 1) : multinomial (insert a s) f = (s.sum f).succ * multinomial s f := by simp only [multinomial, one_mul, factorial] rw [Finset.sum_insert h, Finset.prod_insert h, h₁, add_comm, ← succ_eq_add_one, factorial_succ] simp only [factorial_one, one_mul, Function.comp_apply, factorial, mul_one, ← one_eq_succ_zero] rw [Nat.mul_div_assoc _ (prod_factorial_dvd_factorial_sum _ _)] #align nat.multinomial_insert_one Nat.multinomial_insert_one theorem multinomial_congr {f g : α → ℕ} (h : ∀ a ∈ s, f a = g a) : multinomial s f = multinomial s g := by simp only [multinomial]; congr 1 · rw [Finset.sum_congr rfl h] · exact Finset.prod_congr rfl fun a ha => by rw [h a ha] #align nat.multinomial_congr Nat.multinomial_congr theorem binomial_eq [DecidableEq α] (h : a ≠ b) : multinomial {a, b} f = (f a + f b)! / ((f a)! * (f b)!) := by simp [multinomial, Finset.sum_pair h, Finset.prod_pair h] #align nat.binomial_eq Nat.binomial_eq
Mathlib/Data/Nat/Choose/Multinomial.lean
107
109
theorem binomial_eq_choose [DecidableEq α] (h : a ≠ b) : multinomial {a, b} f = (f a + f b).choose (f a) := by
simp [binomial_eq h, choose_eq_factorial_div_factorial (Nat.le_add_right _ _)]
1
2.718282
0
0.777778
9
694
import Mathlib.Algebra.BigOperators.Fin import Mathlib.Data.Nat.Choose.Sum import Mathlib.Data.Nat.Factorial.BigOperators import Mathlib.Data.Fin.VecNotation import Mathlib.Data.Finset.Sym import Mathlib.Data.Finsupp.Multiset #align_import data.nat.choose.multinomial from "leanprover-community/mathlib"@"2738d2ca56cbc63be80c3bd48e9ed90ad94e947d" open Finset open scoped Nat namespace Nat variable {α : Type*} (s : Finset α) (f : α → ℕ) {a b : α} (n : ℕ) def multinomial : ℕ := (∑ i ∈ s, f i)! / ∏ i ∈ s, (f i)! #align nat.multinomial Nat.multinomial theorem multinomial_pos : 0 < multinomial s f := Nat.div_pos (le_of_dvd (factorial_pos _) (prod_factorial_dvd_factorial_sum s f)) (prod_factorial_pos s f) #align nat.multinomial_pos Nat.multinomial_pos theorem multinomial_spec : (∏ i ∈ s, (f i)!) * multinomial s f = (∑ i ∈ s, f i)! := Nat.mul_div_cancel' (prod_factorial_dvd_factorial_sum s f) #align nat.multinomial_spec Nat.multinomial_spec @[simp] lemma multinomial_empty : multinomial ∅ f = 1 := by simp [multinomial] #align nat.multinomial_nil Nat.multinomial_empty @[deprecated (since := "2024-06-01")] alias multinomial_nil := multinomial_empty variable {s f} lemma multinomial_cons (ha : a ∉ s) (f : α → ℕ) : multinomial (s.cons a ha) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by rw [multinomial, Nat.div_eq_iff_eq_mul_left _ (prod_factorial_dvd_factorial_sum _ _), prod_cons, multinomial, mul_assoc, mul_left_comm _ (f a)!, Nat.div_mul_cancel (prod_factorial_dvd_factorial_sum _ _), ← mul_assoc, Nat.choose_symm_add, Nat.add_choose_mul_factorial_mul_factorial, Finset.sum_cons] positivity lemma multinomial_insert [DecidableEq α] (ha : a ∉ s) (f : α → ℕ) : multinomial (insert a s) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by rw [← cons_eq_insert _ _ ha, multinomial_cons] #align nat.multinomial_insert Nat.multinomial_insert @[simp] lemma multinomial_singleton (a : α) (f : α → ℕ) : multinomial {a} f = 1 := by rw [← cons_empty, multinomial_cons]; simp #align nat.multinomial_singleton Nat.multinomial_singleton @[simp] theorem multinomial_insert_one [DecidableEq α] (h : a ∉ s) (h₁ : f a = 1) : multinomial (insert a s) f = (s.sum f).succ * multinomial s f := by simp only [multinomial, one_mul, factorial] rw [Finset.sum_insert h, Finset.prod_insert h, h₁, add_comm, ← succ_eq_add_one, factorial_succ] simp only [factorial_one, one_mul, Function.comp_apply, factorial, mul_one, ← one_eq_succ_zero] rw [Nat.mul_div_assoc _ (prod_factorial_dvd_factorial_sum _ _)] #align nat.multinomial_insert_one Nat.multinomial_insert_one theorem multinomial_congr {f g : α → ℕ} (h : ∀ a ∈ s, f a = g a) : multinomial s f = multinomial s g := by simp only [multinomial]; congr 1 · rw [Finset.sum_congr rfl h] · exact Finset.prod_congr rfl fun a ha => by rw [h a ha] #align nat.multinomial_congr Nat.multinomial_congr theorem binomial_eq [DecidableEq α] (h : a ≠ b) : multinomial {a, b} f = (f a + f b)! / ((f a)! * (f b)!) := by simp [multinomial, Finset.sum_pair h, Finset.prod_pair h] #align nat.binomial_eq Nat.binomial_eq theorem binomial_eq_choose [DecidableEq α] (h : a ≠ b) : multinomial {a, b} f = (f a + f b).choose (f a) := by simp [binomial_eq h, choose_eq_factorial_div_factorial (Nat.le_add_right _ _)] #align nat.binomial_eq_choose Nat.binomial_eq_choose
Mathlib/Data/Nat/Choose/Multinomial.lean
112
114
theorem binomial_spec [DecidableEq α] (hab : a ≠ b) : (f a)! * (f b)! * multinomial {a, b} f = (f a + f b)! := by
simpa [Finset.sum_pair hab, Finset.prod_pair hab] using multinomial_spec {a, b} f
1
2.718282
0
0.777778
9
694
import Mathlib.Algebra.BigOperators.Fin import Mathlib.Data.Nat.Choose.Sum import Mathlib.Data.Nat.Factorial.BigOperators import Mathlib.Data.Fin.VecNotation import Mathlib.Data.Finset.Sym import Mathlib.Data.Finsupp.Multiset #align_import data.nat.choose.multinomial from "leanprover-community/mathlib"@"2738d2ca56cbc63be80c3bd48e9ed90ad94e947d" open Finset open scoped Nat namespace Nat variable {α : Type*} (s : Finset α) (f : α → ℕ) {a b : α} (n : ℕ) def multinomial : ℕ := (∑ i ∈ s, f i)! / ∏ i ∈ s, (f i)! #align nat.multinomial Nat.multinomial theorem multinomial_pos : 0 < multinomial s f := Nat.div_pos (le_of_dvd (factorial_pos _) (prod_factorial_dvd_factorial_sum s f)) (prod_factorial_pos s f) #align nat.multinomial_pos Nat.multinomial_pos theorem multinomial_spec : (∏ i ∈ s, (f i)!) * multinomial s f = (∑ i ∈ s, f i)! := Nat.mul_div_cancel' (prod_factorial_dvd_factorial_sum s f) #align nat.multinomial_spec Nat.multinomial_spec @[simp] lemma multinomial_empty : multinomial ∅ f = 1 := by simp [multinomial] #align nat.multinomial_nil Nat.multinomial_empty @[deprecated (since := "2024-06-01")] alias multinomial_nil := multinomial_empty variable {s f} lemma multinomial_cons (ha : a ∉ s) (f : α → ℕ) : multinomial (s.cons a ha) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by rw [multinomial, Nat.div_eq_iff_eq_mul_left _ (prod_factorial_dvd_factorial_sum _ _), prod_cons, multinomial, mul_assoc, mul_left_comm _ (f a)!, Nat.div_mul_cancel (prod_factorial_dvd_factorial_sum _ _), ← mul_assoc, Nat.choose_symm_add, Nat.add_choose_mul_factorial_mul_factorial, Finset.sum_cons] positivity lemma multinomial_insert [DecidableEq α] (ha : a ∉ s) (f : α → ℕ) : multinomial (insert a s) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by rw [← cons_eq_insert _ _ ha, multinomial_cons] #align nat.multinomial_insert Nat.multinomial_insert @[simp] lemma multinomial_singleton (a : α) (f : α → ℕ) : multinomial {a} f = 1 := by rw [← cons_empty, multinomial_cons]; simp #align nat.multinomial_singleton Nat.multinomial_singleton @[simp] theorem multinomial_insert_one [DecidableEq α] (h : a ∉ s) (h₁ : f a = 1) : multinomial (insert a s) f = (s.sum f).succ * multinomial s f := by simp only [multinomial, one_mul, factorial] rw [Finset.sum_insert h, Finset.prod_insert h, h₁, add_comm, ← succ_eq_add_one, factorial_succ] simp only [factorial_one, one_mul, Function.comp_apply, factorial, mul_one, ← one_eq_succ_zero] rw [Nat.mul_div_assoc _ (prod_factorial_dvd_factorial_sum _ _)] #align nat.multinomial_insert_one Nat.multinomial_insert_one theorem multinomial_congr {f g : α → ℕ} (h : ∀ a ∈ s, f a = g a) : multinomial s f = multinomial s g := by simp only [multinomial]; congr 1 · rw [Finset.sum_congr rfl h] · exact Finset.prod_congr rfl fun a ha => by rw [h a ha] #align nat.multinomial_congr Nat.multinomial_congr theorem binomial_eq [DecidableEq α] (h : a ≠ b) : multinomial {a, b} f = (f a + f b)! / ((f a)! * (f b)!) := by simp [multinomial, Finset.sum_pair h, Finset.prod_pair h] #align nat.binomial_eq Nat.binomial_eq theorem binomial_eq_choose [DecidableEq α] (h : a ≠ b) : multinomial {a, b} f = (f a + f b).choose (f a) := by simp [binomial_eq h, choose_eq_factorial_div_factorial (Nat.le_add_right _ _)] #align nat.binomial_eq_choose Nat.binomial_eq_choose theorem binomial_spec [DecidableEq α] (hab : a ≠ b) : (f a)! * (f b)! * multinomial {a, b} f = (f a + f b)! := by simpa [Finset.sum_pair hab, Finset.prod_pair hab] using multinomial_spec {a, b} f #align nat.binomial_spec Nat.binomial_spec @[simp]
Mathlib/Data/Nat/Choose/Multinomial.lean
118
120
theorem binomial_one [DecidableEq α] (h : a ≠ b) (h₁ : f a = 1) : multinomial {a, b} f = (f b).succ := by
simp [multinomial_insert_one (Finset.not_mem_singleton.mpr h) h₁]
1
2.718282
0
0.777778
9
694
import Mathlib.Algebra.BigOperators.Fin import Mathlib.Data.Nat.Choose.Sum import Mathlib.Data.Nat.Factorial.BigOperators import Mathlib.Data.Fin.VecNotation import Mathlib.Data.Finset.Sym import Mathlib.Data.Finsupp.Multiset #align_import data.nat.choose.multinomial from "leanprover-community/mathlib"@"2738d2ca56cbc63be80c3bd48e9ed90ad94e947d" open Finset open scoped Nat namespace Nat variable {α : Type*} (s : Finset α) (f : α → ℕ) {a b : α} (n : ℕ) def multinomial : ℕ := (∑ i ∈ s, f i)! / ∏ i ∈ s, (f i)! #align nat.multinomial Nat.multinomial theorem multinomial_pos : 0 < multinomial s f := Nat.div_pos (le_of_dvd (factorial_pos _) (prod_factorial_dvd_factorial_sum s f)) (prod_factorial_pos s f) #align nat.multinomial_pos Nat.multinomial_pos theorem multinomial_spec : (∏ i ∈ s, (f i)!) * multinomial s f = (∑ i ∈ s, f i)! := Nat.mul_div_cancel' (prod_factorial_dvd_factorial_sum s f) #align nat.multinomial_spec Nat.multinomial_spec @[simp] lemma multinomial_empty : multinomial ∅ f = 1 := by simp [multinomial] #align nat.multinomial_nil Nat.multinomial_empty @[deprecated (since := "2024-06-01")] alias multinomial_nil := multinomial_empty variable {s f} lemma multinomial_cons (ha : a ∉ s) (f : α → ℕ) : multinomial (s.cons a ha) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by rw [multinomial, Nat.div_eq_iff_eq_mul_left _ (prod_factorial_dvd_factorial_sum _ _), prod_cons, multinomial, mul_assoc, mul_left_comm _ (f a)!, Nat.div_mul_cancel (prod_factorial_dvd_factorial_sum _ _), ← mul_assoc, Nat.choose_symm_add, Nat.add_choose_mul_factorial_mul_factorial, Finset.sum_cons] positivity lemma multinomial_insert [DecidableEq α] (ha : a ∉ s) (f : α → ℕ) : multinomial (insert a s) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by rw [← cons_eq_insert _ _ ha, multinomial_cons] #align nat.multinomial_insert Nat.multinomial_insert @[simp] lemma multinomial_singleton (a : α) (f : α → ℕ) : multinomial {a} f = 1 := by rw [← cons_empty, multinomial_cons]; simp #align nat.multinomial_singleton Nat.multinomial_singleton @[simp] theorem multinomial_insert_one [DecidableEq α] (h : a ∉ s) (h₁ : f a = 1) : multinomial (insert a s) f = (s.sum f).succ * multinomial s f := by simp only [multinomial, one_mul, factorial] rw [Finset.sum_insert h, Finset.prod_insert h, h₁, add_comm, ← succ_eq_add_one, factorial_succ] simp only [factorial_one, one_mul, Function.comp_apply, factorial, mul_one, ← one_eq_succ_zero] rw [Nat.mul_div_assoc _ (prod_factorial_dvd_factorial_sum _ _)] #align nat.multinomial_insert_one Nat.multinomial_insert_one theorem multinomial_congr {f g : α → ℕ} (h : ∀ a ∈ s, f a = g a) : multinomial s f = multinomial s g := by simp only [multinomial]; congr 1 · rw [Finset.sum_congr rfl h] · exact Finset.prod_congr rfl fun a ha => by rw [h a ha] #align nat.multinomial_congr Nat.multinomial_congr theorem binomial_eq [DecidableEq α] (h : a ≠ b) : multinomial {a, b} f = (f a + f b)! / ((f a)! * (f b)!) := by simp [multinomial, Finset.sum_pair h, Finset.prod_pair h] #align nat.binomial_eq Nat.binomial_eq theorem binomial_eq_choose [DecidableEq α] (h : a ≠ b) : multinomial {a, b} f = (f a + f b).choose (f a) := by simp [binomial_eq h, choose_eq_factorial_div_factorial (Nat.le_add_right _ _)] #align nat.binomial_eq_choose Nat.binomial_eq_choose theorem binomial_spec [DecidableEq α] (hab : a ≠ b) : (f a)! * (f b)! * multinomial {a, b} f = (f a + f b)! := by simpa [Finset.sum_pair hab, Finset.prod_pair hab] using multinomial_spec {a, b} f #align nat.binomial_spec Nat.binomial_spec @[simp] theorem binomial_one [DecidableEq α] (h : a ≠ b) (h₁ : f a = 1) : multinomial {a, b} f = (f b).succ := by simp [multinomial_insert_one (Finset.not_mem_singleton.mpr h) h₁] #align nat.binomial_one Nat.binomial_one
Mathlib/Data/Nat/Choose/Multinomial.lean
123
131
theorem binomial_succ_succ [DecidableEq α] (h : a ≠ b) : multinomial {a, b} (Function.update (Function.update f a (f a).succ) b (f b).succ) = multinomial {a, b} (Function.update f a (f a).succ) + multinomial {a, b} (Function.update f b (f b).succ) := by
simp only [binomial_eq_choose, Function.update_apply, h, Ne, ite_true, ite_false, not_false_eq_true] rw [if_neg h.symm] rw [add_succ, choose_succ_succ, succ_add_eq_add_succ] ring
5
148.413159
2
0.777778
9
694
import Mathlib.Algebra.BigOperators.Fin import Mathlib.Data.Nat.Choose.Sum import Mathlib.Data.Nat.Factorial.BigOperators import Mathlib.Data.Fin.VecNotation import Mathlib.Data.Finset.Sym import Mathlib.Data.Finsupp.Multiset #align_import data.nat.choose.multinomial from "leanprover-community/mathlib"@"2738d2ca56cbc63be80c3bd48e9ed90ad94e947d" open Finset open scoped Nat namespace Nat variable {α : Type*} (s : Finset α) (f : α → ℕ) {a b : α} (n : ℕ) def multinomial : ℕ := (∑ i ∈ s, f i)! / ∏ i ∈ s, (f i)! #align nat.multinomial Nat.multinomial theorem multinomial_pos : 0 < multinomial s f := Nat.div_pos (le_of_dvd (factorial_pos _) (prod_factorial_dvd_factorial_sum s f)) (prod_factorial_pos s f) #align nat.multinomial_pos Nat.multinomial_pos theorem multinomial_spec : (∏ i ∈ s, (f i)!) * multinomial s f = (∑ i ∈ s, f i)! := Nat.mul_div_cancel' (prod_factorial_dvd_factorial_sum s f) #align nat.multinomial_spec Nat.multinomial_spec @[simp] lemma multinomial_empty : multinomial ∅ f = 1 := by simp [multinomial] #align nat.multinomial_nil Nat.multinomial_empty @[deprecated (since := "2024-06-01")] alias multinomial_nil := multinomial_empty variable {s f} lemma multinomial_cons (ha : a ∉ s) (f : α → ℕ) : multinomial (s.cons a ha) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by rw [multinomial, Nat.div_eq_iff_eq_mul_left _ (prod_factorial_dvd_factorial_sum _ _), prod_cons, multinomial, mul_assoc, mul_left_comm _ (f a)!, Nat.div_mul_cancel (prod_factorial_dvd_factorial_sum _ _), ← mul_assoc, Nat.choose_symm_add, Nat.add_choose_mul_factorial_mul_factorial, Finset.sum_cons] positivity lemma multinomial_insert [DecidableEq α] (ha : a ∉ s) (f : α → ℕ) : multinomial (insert a s) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by rw [← cons_eq_insert _ _ ha, multinomial_cons] #align nat.multinomial_insert Nat.multinomial_insert @[simp] lemma multinomial_singleton (a : α) (f : α → ℕ) : multinomial {a} f = 1 := by rw [← cons_empty, multinomial_cons]; simp #align nat.multinomial_singleton Nat.multinomial_singleton @[simp] theorem multinomial_insert_one [DecidableEq α] (h : a ∉ s) (h₁ : f a = 1) : multinomial (insert a s) f = (s.sum f).succ * multinomial s f := by simp only [multinomial, one_mul, factorial] rw [Finset.sum_insert h, Finset.prod_insert h, h₁, add_comm, ← succ_eq_add_one, factorial_succ] simp only [factorial_one, one_mul, Function.comp_apply, factorial, mul_one, ← one_eq_succ_zero] rw [Nat.mul_div_assoc _ (prod_factorial_dvd_factorial_sum _ _)] #align nat.multinomial_insert_one Nat.multinomial_insert_one theorem multinomial_congr {f g : α → ℕ} (h : ∀ a ∈ s, f a = g a) : multinomial s f = multinomial s g := by simp only [multinomial]; congr 1 · rw [Finset.sum_congr rfl h] · exact Finset.prod_congr rfl fun a ha => by rw [h a ha] #align nat.multinomial_congr Nat.multinomial_congr theorem binomial_eq [DecidableEq α] (h : a ≠ b) : multinomial {a, b} f = (f a + f b)! / ((f a)! * (f b)!) := by simp [multinomial, Finset.sum_pair h, Finset.prod_pair h] #align nat.binomial_eq Nat.binomial_eq theorem binomial_eq_choose [DecidableEq α] (h : a ≠ b) : multinomial {a, b} f = (f a + f b).choose (f a) := by simp [binomial_eq h, choose_eq_factorial_div_factorial (Nat.le_add_right _ _)] #align nat.binomial_eq_choose Nat.binomial_eq_choose theorem binomial_spec [DecidableEq α] (hab : a ≠ b) : (f a)! * (f b)! * multinomial {a, b} f = (f a + f b)! := by simpa [Finset.sum_pair hab, Finset.prod_pair hab] using multinomial_spec {a, b} f #align nat.binomial_spec Nat.binomial_spec @[simp] theorem binomial_one [DecidableEq α] (h : a ≠ b) (h₁ : f a = 1) : multinomial {a, b} f = (f b).succ := by simp [multinomial_insert_one (Finset.not_mem_singleton.mpr h) h₁] #align nat.binomial_one Nat.binomial_one theorem binomial_succ_succ [DecidableEq α] (h : a ≠ b) : multinomial {a, b} (Function.update (Function.update f a (f a).succ) b (f b).succ) = multinomial {a, b} (Function.update f a (f a).succ) + multinomial {a, b} (Function.update f b (f b).succ) := by simp only [binomial_eq_choose, Function.update_apply, h, Ne, ite_true, ite_false, not_false_eq_true] rw [if_neg h.symm] rw [add_succ, choose_succ_succ, succ_add_eq_add_succ] ring #align nat.binomial_succ_succ Nat.binomial_succ_succ
Mathlib/Data/Nat/Choose/Multinomial.lean
134
139
theorem succ_mul_binomial [DecidableEq α] (h : a ≠ b) : (f a + f b).succ * multinomial {a, b} f = (f a).succ * multinomial {a, b} (Function.update f a (f a).succ) := by
rw [binomial_eq_choose h, binomial_eq_choose h, mul_comm (f a).succ, Function.update_same, Function.update_noteq (ne_comm.mp h)] rw [succ_mul_choose_eq (f a + f b) (f a), succ_add (f a) (f b)]
3
20.085537
1
0.777778
9
694
import Mathlib.Algebra.BigOperators.Fin import Mathlib.Data.Nat.Choose.Sum import Mathlib.Data.Nat.Factorial.BigOperators import Mathlib.Data.Fin.VecNotation import Mathlib.Data.Finset.Sym import Mathlib.Data.Finsupp.Multiset #align_import data.nat.choose.multinomial from "leanprover-community/mathlib"@"2738d2ca56cbc63be80c3bd48e9ed90ad94e947d" open Finset open scoped Nat namespace Nat variable {α : Type*} (s : Finset α) (f : α → ℕ) {a b : α} (n : ℕ) def multinomial : ℕ := (∑ i ∈ s, f i)! / ∏ i ∈ s, (f i)! #align nat.multinomial Nat.multinomial theorem multinomial_pos : 0 < multinomial s f := Nat.div_pos (le_of_dvd (factorial_pos _) (prod_factorial_dvd_factorial_sum s f)) (prod_factorial_pos s f) #align nat.multinomial_pos Nat.multinomial_pos theorem multinomial_spec : (∏ i ∈ s, (f i)!) * multinomial s f = (∑ i ∈ s, f i)! := Nat.mul_div_cancel' (prod_factorial_dvd_factorial_sum s f) #align nat.multinomial_spec Nat.multinomial_spec @[simp] lemma multinomial_empty : multinomial ∅ f = 1 := by simp [multinomial] #align nat.multinomial_nil Nat.multinomial_empty @[deprecated (since := "2024-06-01")] alias multinomial_nil := multinomial_empty variable {s f} lemma multinomial_cons (ha : a ∉ s) (f : α → ℕ) : multinomial (s.cons a ha) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by rw [multinomial, Nat.div_eq_iff_eq_mul_left _ (prod_factorial_dvd_factorial_sum _ _), prod_cons, multinomial, mul_assoc, mul_left_comm _ (f a)!, Nat.div_mul_cancel (prod_factorial_dvd_factorial_sum _ _), ← mul_assoc, Nat.choose_symm_add, Nat.add_choose_mul_factorial_mul_factorial, Finset.sum_cons] positivity lemma multinomial_insert [DecidableEq α] (ha : a ∉ s) (f : α → ℕ) : multinomial (insert a s) f = (f a + ∑ i ∈ s, f i).choose (f a) * multinomial s f := by rw [← cons_eq_insert _ _ ha, multinomial_cons] #align nat.multinomial_insert Nat.multinomial_insert @[simp] lemma multinomial_singleton (a : α) (f : α → ℕ) : multinomial {a} f = 1 := by rw [← cons_empty, multinomial_cons]; simp #align nat.multinomial_singleton Nat.multinomial_singleton @[simp] theorem multinomial_insert_one [DecidableEq α] (h : a ∉ s) (h₁ : f a = 1) : multinomial (insert a s) f = (s.sum f).succ * multinomial s f := by simp only [multinomial, one_mul, factorial] rw [Finset.sum_insert h, Finset.prod_insert h, h₁, add_comm, ← succ_eq_add_one, factorial_succ] simp only [factorial_one, one_mul, Function.comp_apply, factorial, mul_one, ← one_eq_succ_zero] rw [Nat.mul_div_assoc _ (prod_factorial_dvd_factorial_sum _ _)] #align nat.multinomial_insert_one Nat.multinomial_insert_one theorem multinomial_congr {f g : α → ℕ} (h : ∀ a ∈ s, f a = g a) : multinomial s f = multinomial s g := by simp only [multinomial]; congr 1 · rw [Finset.sum_congr rfl h] · exact Finset.prod_congr rfl fun a ha => by rw [h a ha] #align nat.multinomial_congr Nat.multinomial_congr theorem binomial_eq [DecidableEq α] (h : a ≠ b) : multinomial {a, b} f = (f a + f b)! / ((f a)! * (f b)!) := by simp [multinomial, Finset.sum_pair h, Finset.prod_pair h] #align nat.binomial_eq Nat.binomial_eq theorem binomial_eq_choose [DecidableEq α] (h : a ≠ b) : multinomial {a, b} f = (f a + f b).choose (f a) := by simp [binomial_eq h, choose_eq_factorial_div_factorial (Nat.le_add_right _ _)] #align nat.binomial_eq_choose Nat.binomial_eq_choose theorem binomial_spec [DecidableEq α] (hab : a ≠ b) : (f a)! * (f b)! * multinomial {a, b} f = (f a + f b)! := by simpa [Finset.sum_pair hab, Finset.prod_pair hab] using multinomial_spec {a, b} f #align nat.binomial_spec Nat.binomial_spec @[simp] theorem binomial_one [DecidableEq α] (h : a ≠ b) (h₁ : f a = 1) : multinomial {a, b} f = (f b).succ := by simp [multinomial_insert_one (Finset.not_mem_singleton.mpr h) h₁] #align nat.binomial_one Nat.binomial_one theorem binomial_succ_succ [DecidableEq α] (h : a ≠ b) : multinomial {a, b} (Function.update (Function.update f a (f a).succ) b (f b).succ) = multinomial {a, b} (Function.update f a (f a).succ) + multinomial {a, b} (Function.update f b (f b).succ) := by simp only [binomial_eq_choose, Function.update_apply, h, Ne, ite_true, ite_false, not_false_eq_true] rw [if_neg h.symm] rw [add_succ, choose_succ_succ, succ_add_eq_add_succ] ring #align nat.binomial_succ_succ Nat.binomial_succ_succ theorem succ_mul_binomial [DecidableEq α] (h : a ≠ b) : (f a + f b).succ * multinomial {a, b} f = (f a).succ * multinomial {a, b} (Function.update f a (f a).succ) := by rw [binomial_eq_choose h, binomial_eq_choose h, mul_comm (f a).succ, Function.update_same, Function.update_noteq (ne_comm.mp h)] rw [succ_mul_choose_eq (f a + f b) (f a), succ_add (f a) (f b)] #align nat.succ_mul_binomial Nat.succ_mul_binomial
Mathlib/Data/Nat/Choose/Multinomial.lean
145
148
theorem multinomial_univ_two (a b : ℕ) : multinomial Finset.univ ![a, b] = (a + b)! / (a ! * b !) := by
rw [multinomial, Fin.sum_univ_two, Fin.prod_univ_two, Matrix.cons_val_zero, Matrix.cons_val_one, Matrix.head_cons]
2
7.389056
1
0.777778
9
694
import Mathlib.Algebra.Order.Field.Basic import Mathlib.Combinatorics.SimpleGraph.Basic import Mathlib.Data.Rat.Cast.Order import Mathlib.Order.Partition.Finpartition import Mathlib.Tactic.GCongr import Mathlib.Tactic.NormNum import Mathlib.Tactic.Positivity import Mathlib.Tactic.Ring #align_import combinatorics.simple_graph.density from "leanprover-community/mathlib"@"a4ec43f53b0bd44c697bcc3f5a62edd56f269ef1" open Finset variable {𝕜 ι κ α β : Type*} namespace Rel section Asymmetric variable [LinearOrderedField 𝕜] (r : α → β → Prop) [∀ a, DecidablePred (r a)] {s s₁ s₂ : Finset α} {t t₁ t₂ : Finset β} {a : α} {b : β} {δ : 𝕜} def interedges (s : Finset α) (t : Finset β) : Finset (α × β) := (s ×ˢ t).filter fun e ↦ r e.1 e.2 #align rel.interedges Rel.interedges def edgeDensity (s : Finset α) (t : Finset β) : ℚ := (interedges r s t).card / (s.card * t.card) #align rel.edge_density Rel.edgeDensity variable {r}
Mathlib/Combinatorics/SimpleGraph/Density.lean
57
58
theorem mem_interedges_iff {x : α × β} : x ∈ interedges r s t ↔ x.1 ∈ s ∧ x.2 ∈ t ∧ r x.1 x.2 := by
rw [interedges, mem_filter, Finset.mem_product, and_assoc]
1
2.718282
0
0.785714
14
695
import Mathlib.Algebra.Order.Field.Basic import Mathlib.Combinatorics.SimpleGraph.Basic import Mathlib.Data.Rat.Cast.Order import Mathlib.Order.Partition.Finpartition import Mathlib.Tactic.GCongr import Mathlib.Tactic.NormNum import Mathlib.Tactic.Positivity import Mathlib.Tactic.Ring #align_import combinatorics.simple_graph.density from "leanprover-community/mathlib"@"a4ec43f53b0bd44c697bcc3f5a62edd56f269ef1" open Finset variable {𝕜 ι κ α β : Type*} namespace Rel section Asymmetric variable [LinearOrderedField 𝕜] (r : α → β → Prop) [∀ a, DecidablePred (r a)] {s s₁ s₂ : Finset α} {t t₁ t₂ : Finset β} {a : α} {b : β} {δ : 𝕜} def interedges (s : Finset α) (t : Finset β) : Finset (α × β) := (s ×ˢ t).filter fun e ↦ r e.1 e.2 #align rel.interedges Rel.interedges def edgeDensity (s : Finset α) (t : Finset β) : ℚ := (interedges r s t).card / (s.card * t.card) #align rel.edge_density Rel.edgeDensity variable {r} theorem mem_interedges_iff {x : α × β} : x ∈ interedges r s t ↔ x.1 ∈ s ∧ x.2 ∈ t ∧ r x.1 x.2 := by rw [interedges, mem_filter, Finset.mem_product, and_assoc] #align rel.mem_interedges_iff Rel.mem_interedges_iff theorem mk_mem_interedges_iff : (a, b) ∈ interedges r s t ↔ a ∈ s ∧ b ∈ t ∧ r a b := mem_interedges_iff #align rel.mk_mem_interedges_iff Rel.mk_mem_interedges_iff @[simp]
Mathlib/Combinatorics/SimpleGraph/Density.lean
66
67
theorem interedges_empty_left (t : Finset β) : interedges r ∅ t = ∅ := by
rw [interedges, Finset.empty_product, filter_empty]
1
2.718282
0
0.785714
14
695
import Mathlib.Algebra.Order.Field.Basic import Mathlib.Combinatorics.SimpleGraph.Basic import Mathlib.Data.Rat.Cast.Order import Mathlib.Order.Partition.Finpartition import Mathlib.Tactic.GCongr import Mathlib.Tactic.NormNum import Mathlib.Tactic.Positivity import Mathlib.Tactic.Ring #align_import combinatorics.simple_graph.density from "leanprover-community/mathlib"@"a4ec43f53b0bd44c697bcc3f5a62edd56f269ef1" open Finset variable {𝕜 ι κ α β : Type*} namespace Rel section Asymmetric variable [LinearOrderedField 𝕜] (r : α → β → Prop) [∀ a, DecidablePred (r a)] {s s₁ s₂ : Finset α} {t t₁ t₂ : Finset β} {a : α} {b : β} {δ : 𝕜} def interedges (s : Finset α) (t : Finset β) : Finset (α × β) := (s ×ˢ t).filter fun e ↦ r e.1 e.2 #align rel.interedges Rel.interedges def edgeDensity (s : Finset α) (t : Finset β) : ℚ := (interedges r s t).card / (s.card * t.card) #align rel.edge_density Rel.edgeDensity variable {r} theorem mem_interedges_iff {x : α × β} : x ∈ interedges r s t ↔ x.1 ∈ s ∧ x.2 ∈ t ∧ r x.1 x.2 := by rw [interedges, mem_filter, Finset.mem_product, and_assoc] #align rel.mem_interedges_iff Rel.mem_interedges_iff theorem mk_mem_interedges_iff : (a, b) ∈ interedges r s t ↔ a ∈ s ∧ b ∈ t ∧ r a b := mem_interedges_iff #align rel.mk_mem_interedges_iff Rel.mk_mem_interedges_iff @[simp] theorem interedges_empty_left (t : Finset β) : interedges r ∅ t = ∅ := by rw [interedges, Finset.empty_product, filter_empty] #align rel.interedges_empty_left Rel.interedges_empty_left theorem interedges_mono (hs : s₂ ⊆ s₁) (ht : t₂ ⊆ t₁) : interedges r s₂ t₂ ⊆ interedges r s₁ t₁ := fun x ↦ by simp_rw [mem_interedges_iff] exact fun h ↦ ⟨hs h.1, ht h.2.1, h.2.2⟩ #align rel.interedges_mono Rel.interedges_mono variable (r)
Mathlib/Combinatorics/SimpleGraph/Density.lean
78
82
theorem card_interedges_add_card_interedges_compl (s : Finset α) (t : Finset β) : (interedges r s t).card + (interedges (fun x y ↦ ¬r x y) s t).card = s.card * t.card := by
classical rw [← card_product, interedges, interedges, ← card_union_of_disjoint, filter_union_filter_neg_eq] exact disjoint_filter.2 fun _ _ ↦ Classical.not_not.2
3
20.085537
1
0.785714
14
695
import Mathlib.Algebra.Order.Field.Basic import Mathlib.Combinatorics.SimpleGraph.Basic import Mathlib.Data.Rat.Cast.Order import Mathlib.Order.Partition.Finpartition import Mathlib.Tactic.GCongr import Mathlib.Tactic.NormNum import Mathlib.Tactic.Positivity import Mathlib.Tactic.Ring #align_import combinatorics.simple_graph.density from "leanprover-community/mathlib"@"a4ec43f53b0bd44c697bcc3f5a62edd56f269ef1" open Finset variable {𝕜 ι κ α β : Type*} namespace Rel section Asymmetric variable [LinearOrderedField 𝕜] (r : α → β → Prop) [∀ a, DecidablePred (r a)] {s s₁ s₂ : Finset α} {t t₁ t₂ : Finset β} {a : α} {b : β} {δ : 𝕜} def interedges (s : Finset α) (t : Finset β) : Finset (α × β) := (s ×ˢ t).filter fun e ↦ r e.1 e.2 #align rel.interedges Rel.interedges def edgeDensity (s : Finset α) (t : Finset β) : ℚ := (interedges r s t).card / (s.card * t.card) #align rel.edge_density Rel.edgeDensity variable {r} theorem mem_interedges_iff {x : α × β} : x ∈ interedges r s t ↔ x.1 ∈ s ∧ x.2 ∈ t ∧ r x.1 x.2 := by rw [interedges, mem_filter, Finset.mem_product, and_assoc] #align rel.mem_interedges_iff Rel.mem_interedges_iff theorem mk_mem_interedges_iff : (a, b) ∈ interedges r s t ↔ a ∈ s ∧ b ∈ t ∧ r a b := mem_interedges_iff #align rel.mk_mem_interedges_iff Rel.mk_mem_interedges_iff @[simp] theorem interedges_empty_left (t : Finset β) : interedges r ∅ t = ∅ := by rw [interedges, Finset.empty_product, filter_empty] #align rel.interedges_empty_left Rel.interedges_empty_left theorem interedges_mono (hs : s₂ ⊆ s₁) (ht : t₂ ⊆ t₁) : interedges r s₂ t₂ ⊆ interedges r s₁ t₁ := fun x ↦ by simp_rw [mem_interedges_iff] exact fun h ↦ ⟨hs h.1, ht h.2.1, h.2.2⟩ #align rel.interedges_mono Rel.interedges_mono variable (r) theorem card_interedges_add_card_interedges_compl (s : Finset α) (t : Finset β) : (interedges r s t).card + (interedges (fun x y ↦ ¬r x y) s t).card = s.card * t.card := by classical rw [← card_product, interedges, interedges, ← card_union_of_disjoint, filter_union_filter_neg_eq] exact disjoint_filter.2 fun _ _ ↦ Classical.not_not.2 #align rel.card_interedges_add_card_interedges_compl Rel.card_interedges_add_card_interedges_compl
Mathlib/Combinatorics/SimpleGraph/Density.lean
85
90
theorem interedges_disjoint_left {s s' : Finset α} (hs : Disjoint s s') (t : Finset β) : Disjoint (interedges r s t) (interedges r s' t) := by
rw [Finset.disjoint_left] at hs ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact hs hx.1 hy.1
4
54.59815
2
0.785714
14
695
import Mathlib.Algebra.Order.Field.Basic import Mathlib.Combinatorics.SimpleGraph.Basic import Mathlib.Data.Rat.Cast.Order import Mathlib.Order.Partition.Finpartition import Mathlib.Tactic.GCongr import Mathlib.Tactic.NormNum import Mathlib.Tactic.Positivity import Mathlib.Tactic.Ring #align_import combinatorics.simple_graph.density from "leanprover-community/mathlib"@"a4ec43f53b0bd44c697bcc3f5a62edd56f269ef1" open Finset variable {𝕜 ι κ α β : Type*} namespace Rel section Asymmetric variable [LinearOrderedField 𝕜] (r : α → β → Prop) [∀ a, DecidablePred (r a)] {s s₁ s₂ : Finset α} {t t₁ t₂ : Finset β} {a : α} {b : β} {δ : 𝕜} def interedges (s : Finset α) (t : Finset β) : Finset (α × β) := (s ×ˢ t).filter fun e ↦ r e.1 e.2 #align rel.interedges Rel.interedges def edgeDensity (s : Finset α) (t : Finset β) : ℚ := (interedges r s t).card / (s.card * t.card) #align rel.edge_density Rel.edgeDensity variable {r} theorem mem_interedges_iff {x : α × β} : x ∈ interedges r s t ↔ x.1 ∈ s ∧ x.2 ∈ t ∧ r x.1 x.2 := by rw [interedges, mem_filter, Finset.mem_product, and_assoc] #align rel.mem_interedges_iff Rel.mem_interedges_iff theorem mk_mem_interedges_iff : (a, b) ∈ interedges r s t ↔ a ∈ s ∧ b ∈ t ∧ r a b := mem_interedges_iff #align rel.mk_mem_interedges_iff Rel.mk_mem_interedges_iff @[simp] theorem interedges_empty_left (t : Finset β) : interedges r ∅ t = ∅ := by rw [interedges, Finset.empty_product, filter_empty] #align rel.interedges_empty_left Rel.interedges_empty_left theorem interedges_mono (hs : s₂ ⊆ s₁) (ht : t₂ ⊆ t₁) : interedges r s₂ t₂ ⊆ interedges r s₁ t₁ := fun x ↦ by simp_rw [mem_interedges_iff] exact fun h ↦ ⟨hs h.1, ht h.2.1, h.2.2⟩ #align rel.interedges_mono Rel.interedges_mono variable (r) theorem card_interedges_add_card_interedges_compl (s : Finset α) (t : Finset β) : (interedges r s t).card + (interedges (fun x y ↦ ¬r x y) s t).card = s.card * t.card := by classical rw [← card_product, interedges, interedges, ← card_union_of_disjoint, filter_union_filter_neg_eq] exact disjoint_filter.2 fun _ _ ↦ Classical.not_not.2 #align rel.card_interedges_add_card_interedges_compl Rel.card_interedges_add_card_interedges_compl theorem interedges_disjoint_left {s s' : Finset α} (hs : Disjoint s s') (t : Finset β) : Disjoint (interedges r s t) (interedges r s' t) := by rw [Finset.disjoint_left] at hs ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact hs hx.1 hy.1 #align rel.interedges_disjoint_left Rel.interedges_disjoint_left
Mathlib/Combinatorics/SimpleGraph/Density.lean
93
98
theorem interedges_disjoint_right (s : Finset α) {t t' : Finset β} (ht : Disjoint t t') : Disjoint (interedges r s t) (interedges r s t') := by
rw [Finset.disjoint_left] at ht ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact ht hx.2.1 hy.2.1
4
54.59815
2
0.785714
14
695
import Mathlib.Algebra.Order.Field.Basic import Mathlib.Combinatorics.SimpleGraph.Basic import Mathlib.Data.Rat.Cast.Order import Mathlib.Order.Partition.Finpartition import Mathlib.Tactic.GCongr import Mathlib.Tactic.NormNum import Mathlib.Tactic.Positivity import Mathlib.Tactic.Ring #align_import combinatorics.simple_graph.density from "leanprover-community/mathlib"@"a4ec43f53b0bd44c697bcc3f5a62edd56f269ef1" open Finset variable {𝕜 ι κ α β : Type*} namespace Rel section Asymmetric variable [LinearOrderedField 𝕜] (r : α → β → Prop) [∀ a, DecidablePred (r a)] {s s₁ s₂ : Finset α} {t t₁ t₂ : Finset β} {a : α} {b : β} {δ : 𝕜} def interedges (s : Finset α) (t : Finset β) : Finset (α × β) := (s ×ˢ t).filter fun e ↦ r e.1 e.2 #align rel.interedges Rel.interedges def edgeDensity (s : Finset α) (t : Finset β) : ℚ := (interedges r s t).card / (s.card * t.card) #align rel.edge_density Rel.edgeDensity variable {r} theorem mem_interedges_iff {x : α × β} : x ∈ interedges r s t ↔ x.1 ∈ s ∧ x.2 ∈ t ∧ r x.1 x.2 := by rw [interedges, mem_filter, Finset.mem_product, and_assoc] #align rel.mem_interedges_iff Rel.mem_interedges_iff theorem mk_mem_interedges_iff : (a, b) ∈ interedges r s t ↔ a ∈ s ∧ b ∈ t ∧ r a b := mem_interedges_iff #align rel.mk_mem_interedges_iff Rel.mk_mem_interedges_iff @[simp] theorem interedges_empty_left (t : Finset β) : interedges r ∅ t = ∅ := by rw [interedges, Finset.empty_product, filter_empty] #align rel.interedges_empty_left Rel.interedges_empty_left theorem interedges_mono (hs : s₂ ⊆ s₁) (ht : t₂ ⊆ t₁) : interedges r s₂ t₂ ⊆ interedges r s₁ t₁ := fun x ↦ by simp_rw [mem_interedges_iff] exact fun h ↦ ⟨hs h.1, ht h.2.1, h.2.2⟩ #align rel.interedges_mono Rel.interedges_mono variable (r) theorem card_interedges_add_card_interedges_compl (s : Finset α) (t : Finset β) : (interedges r s t).card + (interedges (fun x y ↦ ¬r x y) s t).card = s.card * t.card := by classical rw [← card_product, interedges, interedges, ← card_union_of_disjoint, filter_union_filter_neg_eq] exact disjoint_filter.2 fun _ _ ↦ Classical.not_not.2 #align rel.card_interedges_add_card_interedges_compl Rel.card_interedges_add_card_interedges_compl theorem interedges_disjoint_left {s s' : Finset α} (hs : Disjoint s s') (t : Finset β) : Disjoint (interedges r s t) (interedges r s' t) := by rw [Finset.disjoint_left] at hs ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact hs hx.1 hy.1 #align rel.interedges_disjoint_left Rel.interedges_disjoint_left theorem interedges_disjoint_right (s : Finset α) {t t' : Finset β} (ht : Disjoint t t') : Disjoint (interedges r s t) (interedges r s t') := by rw [Finset.disjoint_left] at ht ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact ht hx.2.1 hy.2.1 #align rel.interedges_disjoint_right Rel.interedges_disjoint_right section DecidableEq variable [DecidableEq α] [DecidableEq β] lemma interedges_eq_biUnion : interedges r s t = s.biUnion (fun x ↦ (t.filter (r x)).map ⟨(x, ·), Prod.mk.inj_left x⟩) := by ext ⟨x, y⟩; simp [mem_interedges_iff]
Mathlib/Combinatorics/SimpleGraph/Density.lean
109
112
theorem interedges_biUnion_left (s : Finset ι) (t : Finset β) (f : ι → Finset α) : interedges r (s.biUnion f) t = s.biUnion fun a ↦ interedges r (f a) t := by
ext simp only [mem_biUnion, mem_interedges_iff, exists_and_right, ← and_assoc]
2
7.389056
1
0.785714
14
695
import Mathlib.Algebra.Order.Field.Basic import Mathlib.Combinatorics.SimpleGraph.Basic import Mathlib.Data.Rat.Cast.Order import Mathlib.Order.Partition.Finpartition import Mathlib.Tactic.GCongr import Mathlib.Tactic.NormNum import Mathlib.Tactic.Positivity import Mathlib.Tactic.Ring #align_import combinatorics.simple_graph.density from "leanprover-community/mathlib"@"a4ec43f53b0bd44c697bcc3f5a62edd56f269ef1" open Finset variable {𝕜 ι κ α β : Type*} namespace Rel section Asymmetric variable [LinearOrderedField 𝕜] (r : α → β → Prop) [∀ a, DecidablePred (r a)] {s s₁ s₂ : Finset α} {t t₁ t₂ : Finset β} {a : α} {b : β} {δ : 𝕜} def interedges (s : Finset α) (t : Finset β) : Finset (α × β) := (s ×ˢ t).filter fun e ↦ r e.1 e.2 #align rel.interedges Rel.interedges def edgeDensity (s : Finset α) (t : Finset β) : ℚ := (interedges r s t).card / (s.card * t.card) #align rel.edge_density Rel.edgeDensity variable {r} theorem mem_interedges_iff {x : α × β} : x ∈ interedges r s t ↔ x.1 ∈ s ∧ x.2 ∈ t ∧ r x.1 x.2 := by rw [interedges, mem_filter, Finset.mem_product, and_assoc] #align rel.mem_interedges_iff Rel.mem_interedges_iff theorem mk_mem_interedges_iff : (a, b) ∈ interedges r s t ↔ a ∈ s ∧ b ∈ t ∧ r a b := mem_interedges_iff #align rel.mk_mem_interedges_iff Rel.mk_mem_interedges_iff @[simp] theorem interedges_empty_left (t : Finset β) : interedges r ∅ t = ∅ := by rw [interedges, Finset.empty_product, filter_empty] #align rel.interedges_empty_left Rel.interedges_empty_left theorem interedges_mono (hs : s₂ ⊆ s₁) (ht : t₂ ⊆ t₁) : interedges r s₂ t₂ ⊆ interedges r s₁ t₁ := fun x ↦ by simp_rw [mem_interedges_iff] exact fun h ↦ ⟨hs h.1, ht h.2.1, h.2.2⟩ #align rel.interedges_mono Rel.interedges_mono variable (r) theorem card_interedges_add_card_interedges_compl (s : Finset α) (t : Finset β) : (interedges r s t).card + (interedges (fun x y ↦ ¬r x y) s t).card = s.card * t.card := by classical rw [← card_product, interedges, interedges, ← card_union_of_disjoint, filter_union_filter_neg_eq] exact disjoint_filter.2 fun _ _ ↦ Classical.not_not.2 #align rel.card_interedges_add_card_interedges_compl Rel.card_interedges_add_card_interedges_compl theorem interedges_disjoint_left {s s' : Finset α} (hs : Disjoint s s') (t : Finset β) : Disjoint (interedges r s t) (interedges r s' t) := by rw [Finset.disjoint_left] at hs ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact hs hx.1 hy.1 #align rel.interedges_disjoint_left Rel.interedges_disjoint_left theorem interedges_disjoint_right (s : Finset α) {t t' : Finset β} (ht : Disjoint t t') : Disjoint (interedges r s t) (interedges r s t') := by rw [Finset.disjoint_left] at ht ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact ht hx.2.1 hy.2.1 #align rel.interedges_disjoint_right Rel.interedges_disjoint_right section DecidableEq variable [DecidableEq α] [DecidableEq β] lemma interedges_eq_biUnion : interedges r s t = s.biUnion (fun x ↦ (t.filter (r x)).map ⟨(x, ·), Prod.mk.inj_left x⟩) := by ext ⟨x, y⟩; simp [mem_interedges_iff] theorem interedges_biUnion_left (s : Finset ι) (t : Finset β) (f : ι → Finset α) : interedges r (s.biUnion f) t = s.biUnion fun a ↦ interedges r (f a) t := by ext simp only [mem_biUnion, mem_interedges_iff, exists_and_right, ← and_assoc] #align rel.interedges_bUnion_left Rel.interedges_biUnion_left
Mathlib/Combinatorics/SimpleGraph/Density.lean
115
120
theorem interedges_biUnion_right (s : Finset α) (t : Finset ι) (f : ι → Finset β) : interedges r s (t.biUnion f) = t.biUnion fun b ↦ interedges r s (f b) := by
ext a simp only [mem_interedges_iff, mem_biUnion] exact ⟨fun ⟨x₁, ⟨x₂, x₃, x₄⟩, x₅⟩ ↦ ⟨x₂, x₃, x₁, x₄, x₅⟩, fun ⟨x₂, x₃, x₁, x₄, x₅⟩ ↦ ⟨x₁, ⟨x₂, x₃, x₄⟩, x₅⟩⟩
4
54.59815
2
0.785714
14
695
import Mathlib.Algebra.Order.Field.Basic import Mathlib.Combinatorics.SimpleGraph.Basic import Mathlib.Data.Rat.Cast.Order import Mathlib.Order.Partition.Finpartition import Mathlib.Tactic.GCongr import Mathlib.Tactic.NormNum import Mathlib.Tactic.Positivity import Mathlib.Tactic.Ring #align_import combinatorics.simple_graph.density from "leanprover-community/mathlib"@"a4ec43f53b0bd44c697bcc3f5a62edd56f269ef1" open Finset variable {𝕜 ι κ α β : Type*} namespace Rel section Asymmetric variable [LinearOrderedField 𝕜] (r : α → β → Prop) [∀ a, DecidablePred (r a)] {s s₁ s₂ : Finset α} {t t₁ t₂ : Finset β} {a : α} {b : β} {δ : 𝕜} def interedges (s : Finset α) (t : Finset β) : Finset (α × β) := (s ×ˢ t).filter fun e ↦ r e.1 e.2 #align rel.interedges Rel.interedges def edgeDensity (s : Finset α) (t : Finset β) : ℚ := (interedges r s t).card / (s.card * t.card) #align rel.edge_density Rel.edgeDensity variable {r} theorem mem_interedges_iff {x : α × β} : x ∈ interedges r s t ↔ x.1 ∈ s ∧ x.2 ∈ t ∧ r x.1 x.2 := by rw [interedges, mem_filter, Finset.mem_product, and_assoc] #align rel.mem_interedges_iff Rel.mem_interedges_iff theorem mk_mem_interedges_iff : (a, b) ∈ interedges r s t ↔ a ∈ s ∧ b ∈ t ∧ r a b := mem_interedges_iff #align rel.mk_mem_interedges_iff Rel.mk_mem_interedges_iff @[simp] theorem interedges_empty_left (t : Finset β) : interedges r ∅ t = ∅ := by rw [interedges, Finset.empty_product, filter_empty] #align rel.interedges_empty_left Rel.interedges_empty_left theorem interedges_mono (hs : s₂ ⊆ s₁) (ht : t₂ ⊆ t₁) : interedges r s₂ t₂ ⊆ interedges r s₁ t₁ := fun x ↦ by simp_rw [mem_interedges_iff] exact fun h ↦ ⟨hs h.1, ht h.2.1, h.2.2⟩ #align rel.interedges_mono Rel.interedges_mono variable (r) theorem card_interedges_add_card_interedges_compl (s : Finset α) (t : Finset β) : (interedges r s t).card + (interedges (fun x y ↦ ¬r x y) s t).card = s.card * t.card := by classical rw [← card_product, interedges, interedges, ← card_union_of_disjoint, filter_union_filter_neg_eq] exact disjoint_filter.2 fun _ _ ↦ Classical.not_not.2 #align rel.card_interedges_add_card_interedges_compl Rel.card_interedges_add_card_interedges_compl theorem interedges_disjoint_left {s s' : Finset α} (hs : Disjoint s s') (t : Finset β) : Disjoint (interedges r s t) (interedges r s' t) := by rw [Finset.disjoint_left] at hs ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact hs hx.1 hy.1 #align rel.interedges_disjoint_left Rel.interedges_disjoint_left theorem interedges_disjoint_right (s : Finset α) {t t' : Finset β} (ht : Disjoint t t') : Disjoint (interedges r s t) (interedges r s t') := by rw [Finset.disjoint_left] at ht ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact ht hx.2.1 hy.2.1 #align rel.interedges_disjoint_right Rel.interedges_disjoint_right section DecidableEq variable [DecidableEq α] [DecidableEq β] lemma interedges_eq_biUnion : interedges r s t = s.biUnion (fun x ↦ (t.filter (r x)).map ⟨(x, ·), Prod.mk.inj_left x⟩) := by ext ⟨x, y⟩; simp [mem_interedges_iff] theorem interedges_biUnion_left (s : Finset ι) (t : Finset β) (f : ι → Finset α) : interedges r (s.biUnion f) t = s.biUnion fun a ↦ interedges r (f a) t := by ext simp only [mem_biUnion, mem_interedges_iff, exists_and_right, ← and_assoc] #align rel.interedges_bUnion_left Rel.interedges_biUnion_left theorem interedges_biUnion_right (s : Finset α) (t : Finset ι) (f : ι → Finset β) : interedges r s (t.biUnion f) = t.biUnion fun b ↦ interedges r s (f b) := by ext a simp only [mem_interedges_iff, mem_biUnion] exact ⟨fun ⟨x₁, ⟨x₂, x₃, x₄⟩, x₅⟩ ↦ ⟨x₂, x₃, x₁, x₄, x₅⟩, fun ⟨x₂, x₃, x₁, x₄, x₅⟩ ↦ ⟨x₁, ⟨x₂, x₃, x₄⟩, x₅⟩⟩ #align rel.interedges_bUnion_right Rel.interedges_biUnion_right
Mathlib/Combinatorics/SimpleGraph/Density.lean
123
126
theorem interedges_biUnion (s : Finset ι) (t : Finset κ) (f : ι → Finset α) (g : κ → Finset β) : interedges r (s.biUnion f) (t.biUnion g) = (s ×ˢ t).biUnion fun ab ↦ interedges r (f ab.1) (g ab.2) := by
simp_rw [product_biUnion, interedges_biUnion_left, interedges_biUnion_right]
1
2.718282
0
0.785714
14
695
import Mathlib.Algebra.Order.Field.Basic import Mathlib.Combinatorics.SimpleGraph.Basic import Mathlib.Data.Rat.Cast.Order import Mathlib.Order.Partition.Finpartition import Mathlib.Tactic.GCongr import Mathlib.Tactic.NormNum import Mathlib.Tactic.Positivity import Mathlib.Tactic.Ring #align_import combinatorics.simple_graph.density from "leanprover-community/mathlib"@"a4ec43f53b0bd44c697bcc3f5a62edd56f269ef1" open Finset variable {𝕜 ι κ α β : Type*} namespace Rel section Asymmetric variable [LinearOrderedField 𝕜] (r : α → β → Prop) [∀ a, DecidablePred (r a)] {s s₁ s₂ : Finset α} {t t₁ t₂ : Finset β} {a : α} {b : β} {δ : 𝕜} def interedges (s : Finset α) (t : Finset β) : Finset (α × β) := (s ×ˢ t).filter fun e ↦ r e.1 e.2 #align rel.interedges Rel.interedges def edgeDensity (s : Finset α) (t : Finset β) : ℚ := (interedges r s t).card / (s.card * t.card) #align rel.edge_density Rel.edgeDensity variable {r} theorem mem_interedges_iff {x : α × β} : x ∈ interedges r s t ↔ x.1 ∈ s ∧ x.2 ∈ t ∧ r x.1 x.2 := by rw [interedges, mem_filter, Finset.mem_product, and_assoc] #align rel.mem_interedges_iff Rel.mem_interedges_iff theorem mk_mem_interedges_iff : (a, b) ∈ interedges r s t ↔ a ∈ s ∧ b ∈ t ∧ r a b := mem_interedges_iff #align rel.mk_mem_interedges_iff Rel.mk_mem_interedges_iff @[simp] theorem interedges_empty_left (t : Finset β) : interedges r ∅ t = ∅ := by rw [interedges, Finset.empty_product, filter_empty] #align rel.interedges_empty_left Rel.interedges_empty_left theorem interedges_mono (hs : s₂ ⊆ s₁) (ht : t₂ ⊆ t₁) : interedges r s₂ t₂ ⊆ interedges r s₁ t₁ := fun x ↦ by simp_rw [mem_interedges_iff] exact fun h ↦ ⟨hs h.1, ht h.2.1, h.2.2⟩ #align rel.interedges_mono Rel.interedges_mono variable (r) theorem card_interedges_add_card_interedges_compl (s : Finset α) (t : Finset β) : (interedges r s t).card + (interedges (fun x y ↦ ¬r x y) s t).card = s.card * t.card := by classical rw [← card_product, interedges, interedges, ← card_union_of_disjoint, filter_union_filter_neg_eq] exact disjoint_filter.2 fun _ _ ↦ Classical.not_not.2 #align rel.card_interedges_add_card_interedges_compl Rel.card_interedges_add_card_interedges_compl theorem interedges_disjoint_left {s s' : Finset α} (hs : Disjoint s s') (t : Finset β) : Disjoint (interedges r s t) (interedges r s' t) := by rw [Finset.disjoint_left] at hs ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact hs hx.1 hy.1 #align rel.interedges_disjoint_left Rel.interedges_disjoint_left theorem interedges_disjoint_right (s : Finset α) {t t' : Finset β} (ht : Disjoint t t') : Disjoint (interedges r s t) (interedges r s t') := by rw [Finset.disjoint_left] at ht ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact ht hx.2.1 hy.2.1 #align rel.interedges_disjoint_right Rel.interedges_disjoint_right theorem card_interedges_le_mul (s : Finset α) (t : Finset β) : (interedges r s t).card ≤ s.card * t.card := (card_filter_le _ _).trans (card_product _ _).le #align rel.card_interedges_le_mul Rel.card_interedges_le_mul
Mathlib/Combinatorics/SimpleGraph/Density.lean
136
137
theorem edgeDensity_nonneg (s : Finset α) (t : Finset β) : 0 ≤ edgeDensity r s t := by
apply div_nonneg <;> exact mod_cast Nat.zero_le _
1
2.718282
0
0.785714
14
695
import Mathlib.Algebra.Order.Field.Basic import Mathlib.Combinatorics.SimpleGraph.Basic import Mathlib.Data.Rat.Cast.Order import Mathlib.Order.Partition.Finpartition import Mathlib.Tactic.GCongr import Mathlib.Tactic.NormNum import Mathlib.Tactic.Positivity import Mathlib.Tactic.Ring #align_import combinatorics.simple_graph.density from "leanprover-community/mathlib"@"a4ec43f53b0bd44c697bcc3f5a62edd56f269ef1" open Finset variable {𝕜 ι κ α β : Type*} namespace Rel section Asymmetric variable [LinearOrderedField 𝕜] (r : α → β → Prop) [∀ a, DecidablePred (r a)] {s s₁ s₂ : Finset α} {t t₁ t₂ : Finset β} {a : α} {b : β} {δ : 𝕜} def interedges (s : Finset α) (t : Finset β) : Finset (α × β) := (s ×ˢ t).filter fun e ↦ r e.1 e.2 #align rel.interedges Rel.interedges def edgeDensity (s : Finset α) (t : Finset β) : ℚ := (interedges r s t).card / (s.card * t.card) #align rel.edge_density Rel.edgeDensity variable {r} theorem mem_interedges_iff {x : α × β} : x ∈ interedges r s t ↔ x.1 ∈ s ∧ x.2 ∈ t ∧ r x.1 x.2 := by rw [interedges, mem_filter, Finset.mem_product, and_assoc] #align rel.mem_interedges_iff Rel.mem_interedges_iff theorem mk_mem_interedges_iff : (a, b) ∈ interedges r s t ↔ a ∈ s ∧ b ∈ t ∧ r a b := mem_interedges_iff #align rel.mk_mem_interedges_iff Rel.mk_mem_interedges_iff @[simp] theorem interedges_empty_left (t : Finset β) : interedges r ∅ t = ∅ := by rw [interedges, Finset.empty_product, filter_empty] #align rel.interedges_empty_left Rel.interedges_empty_left theorem interedges_mono (hs : s₂ ⊆ s₁) (ht : t₂ ⊆ t₁) : interedges r s₂ t₂ ⊆ interedges r s₁ t₁ := fun x ↦ by simp_rw [mem_interedges_iff] exact fun h ↦ ⟨hs h.1, ht h.2.1, h.2.2⟩ #align rel.interedges_mono Rel.interedges_mono variable (r) theorem card_interedges_add_card_interedges_compl (s : Finset α) (t : Finset β) : (interedges r s t).card + (interedges (fun x y ↦ ¬r x y) s t).card = s.card * t.card := by classical rw [← card_product, interedges, interedges, ← card_union_of_disjoint, filter_union_filter_neg_eq] exact disjoint_filter.2 fun _ _ ↦ Classical.not_not.2 #align rel.card_interedges_add_card_interedges_compl Rel.card_interedges_add_card_interedges_compl theorem interedges_disjoint_left {s s' : Finset α} (hs : Disjoint s s') (t : Finset β) : Disjoint (interedges r s t) (interedges r s' t) := by rw [Finset.disjoint_left] at hs ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact hs hx.1 hy.1 #align rel.interedges_disjoint_left Rel.interedges_disjoint_left theorem interedges_disjoint_right (s : Finset α) {t t' : Finset β} (ht : Disjoint t t') : Disjoint (interedges r s t) (interedges r s t') := by rw [Finset.disjoint_left] at ht ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact ht hx.2.1 hy.2.1 #align rel.interedges_disjoint_right Rel.interedges_disjoint_right theorem card_interedges_le_mul (s : Finset α) (t : Finset β) : (interedges r s t).card ≤ s.card * t.card := (card_filter_le _ _).trans (card_product _ _).le #align rel.card_interedges_le_mul Rel.card_interedges_le_mul theorem edgeDensity_nonneg (s : Finset α) (t : Finset β) : 0 ≤ edgeDensity r s t := by apply div_nonneg <;> exact mod_cast Nat.zero_le _ #align rel.edge_density_nonneg Rel.edgeDensity_nonneg
Mathlib/Combinatorics/SimpleGraph/Density.lean
140
143
theorem edgeDensity_le_one (s : Finset α) (t : Finset β) : edgeDensity r s t ≤ 1 := by
apply div_le_one_of_le · exact mod_cast card_interedges_le_mul r s t · exact mod_cast Nat.zero_le _
3
20.085537
1
0.785714
14
695
import Mathlib.Algebra.Order.Field.Basic import Mathlib.Combinatorics.SimpleGraph.Basic import Mathlib.Data.Rat.Cast.Order import Mathlib.Order.Partition.Finpartition import Mathlib.Tactic.GCongr import Mathlib.Tactic.NormNum import Mathlib.Tactic.Positivity import Mathlib.Tactic.Ring #align_import combinatorics.simple_graph.density from "leanprover-community/mathlib"@"a4ec43f53b0bd44c697bcc3f5a62edd56f269ef1" open Finset variable {𝕜 ι κ α β : Type*} namespace Rel section Asymmetric variable [LinearOrderedField 𝕜] (r : α → β → Prop) [∀ a, DecidablePred (r a)] {s s₁ s₂ : Finset α} {t t₁ t₂ : Finset β} {a : α} {b : β} {δ : 𝕜} def interedges (s : Finset α) (t : Finset β) : Finset (α × β) := (s ×ˢ t).filter fun e ↦ r e.1 e.2 #align rel.interedges Rel.interedges def edgeDensity (s : Finset α) (t : Finset β) : ℚ := (interedges r s t).card / (s.card * t.card) #align rel.edge_density Rel.edgeDensity variable {r} theorem mem_interedges_iff {x : α × β} : x ∈ interedges r s t ↔ x.1 ∈ s ∧ x.2 ∈ t ∧ r x.1 x.2 := by rw [interedges, mem_filter, Finset.mem_product, and_assoc] #align rel.mem_interedges_iff Rel.mem_interedges_iff theorem mk_mem_interedges_iff : (a, b) ∈ interedges r s t ↔ a ∈ s ∧ b ∈ t ∧ r a b := mem_interedges_iff #align rel.mk_mem_interedges_iff Rel.mk_mem_interedges_iff @[simp] theorem interedges_empty_left (t : Finset β) : interedges r ∅ t = ∅ := by rw [interedges, Finset.empty_product, filter_empty] #align rel.interedges_empty_left Rel.interedges_empty_left theorem interedges_mono (hs : s₂ ⊆ s₁) (ht : t₂ ⊆ t₁) : interedges r s₂ t₂ ⊆ interedges r s₁ t₁ := fun x ↦ by simp_rw [mem_interedges_iff] exact fun h ↦ ⟨hs h.1, ht h.2.1, h.2.2⟩ #align rel.interedges_mono Rel.interedges_mono variable (r) theorem card_interedges_add_card_interedges_compl (s : Finset α) (t : Finset β) : (interedges r s t).card + (interedges (fun x y ↦ ¬r x y) s t).card = s.card * t.card := by classical rw [← card_product, interedges, interedges, ← card_union_of_disjoint, filter_union_filter_neg_eq] exact disjoint_filter.2 fun _ _ ↦ Classical.not_not.2 #align rel.card_interedges_add_card_interedges_compl Rel.card_interedges_add_card_interedges_compl theorem interedges_disjoint_left {s s' : Finset α} (hs : Disjoint s s') (t : Finset β) : Disjoint (interedges r s t) (interedges r s' t) := by rw [Finset.disjoint_left] at hs ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact hs hx.1 hy.1 #align rel.interedges_disjoint_left Rel.interedges_disjoint_left theorem interedges_disjoint_right (s : Finset α) {t t' : Finset β} (ht : Disjoint t t') : Disjoint (interedges r s t) (interedges r s t') := by rw [Finset.disjoint_left] at ht ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact ht hx.2.1 hy.2.1 #align rel.interedges_disjoint_right Rel.interedges_disjoint_right theorem card_interedges_le_mul (s : Finset α) (t : Finset β) : (interedges r s t).card ≤ s.card * t.card := (card_filter_le _ _).trans (card_product _ _).le #align rel.card_interedges_le_mul Rel.card_interedges_le_mul theorem edgeDensity_nonneg (s : Finset α) (t : Finset β) : 0 ≤ edgeDensity r s t := by apply div_nonneg <;> exact mod_cast Nat.zero_le _ #align rel.edge_density_nonneg Rel.edgeDensity_nonneg theorem edgeDensity_le_one (s : Finset α) (t : Finset β) : edgeDensity r s t ≤ 1 := by apply div_le_one_of_le · exact mod_cast card_interedges_le_mul r s t · exact mod_cast Nat.zero_le _ #align rel.edge_density_le_one Rel.edgeDensity_le_one
Mathlib/Combinatorics/SimpleGraph/Density.lean
146
150
theorem edgeDensity_add_edgeDensity_compl (hs : s.Nonempty) (ht : t.Nonempty) : edgeDensity r s t + edgeDensity (fun x y ↦ ¬r x y) s t = 1 := by
rw [edgeDensity, edgeDensity, div_add_div_same, div_eq_one_iff_eq] · exact mod_cast card_interedges_add_card_interedges_compl r s t · exact mod_cast (mul_pos hs.card_pos ht.card_pos).ne'
3
20.085537
1
0.785714
14
695
import Mathlib.Algebra.Order.Field.Basic import Mathlib.Combinatorics.SimpleGraph.Basic import Mathlib.Data.Rat.Cast.Order import Mathlib.Order.Partition.Finpartition import Mathlib.Tactic.GCongr import Mathlib.Tactic.NormNum import Mathlib.Tactic.Positivity import Mathlib.Tactic.Ring #align_import combinatorics.simple_graph.density from "leanprover-community/mathlib"@"a4ec43f53b0bd44c697bcc3f5a62edd56f269ef1" open Finset variable {𝕜 ι κ α β : Type*} namespace Rel section Asymmetric variable [LinearOrderedField 𝕜] (r : α → β → Prop) [∀ a, DecidablePred (r a)] {s s₁ s₂ : Finset α} {t t₁ t₂ : Finset β} {a : α} {b : β} {δ : 𝕜} def interedges (s : Finset α) (t : Finset β) : Finset (α × β) := (s ×ˢ t).filter fun e ↦ r e.1 e.2 #align rel.interedges Rel.interedges def edgeDensity (s : Finset α) (t : Finset β) : ℚ := (interedges r s t).card / (s.card * t.card) #align rel.edge_density Rel.edgeDensity variable {r} theorem mem_interedges_iff {x : α × β} : x ∈ interedges r s t ↔ x.1 ∈ s ∧ x.2 ∈ t ∧ r x.1 x.2 := by rw [interedges, mem_filter, Finset.mem_product, and_assoc] #align rel.mem_interedges_iff Rel.mem_interedges_iff theorem mk_mem_interedges_iff : (a, b) ∈ interedges r s t ↔ a ∈ s ∧ b ∈ t ∧ r a b := mem_interedges_iff #align rel.mk_mem_interedges_iff Rel.mk_mem_interedges_iff @[simp] theorem interedges_empty_left (t : Finset β) : interedges r ∅ t = ∅ := by rw [interedges, Finset.empty_product, filter_empty] #align rel.interedges_empty_left Rel.interedges_empty_left theorem interedges_mono (hs : s₂ ⊆ s₁) (ht : t₂ ⊆ t₁) : interedges r s₂ t₂ ⊆ interedges r s₁ t₁ := fun x ↦ by simp_rw [mem_interedges_iff] exact fun h ↦ ⟨hs h.1, ht h.2.1, h.2.2⟩ #align rel.interedges_mono Rel.interedges_mono variable (r) theorem card_interedges_add_card_interedges_compl (s : Finset α) (t : Finset β) : (interedges r s t).card + (interedges (fun x y ↦ ¬r x y) s t).card = s.card * t.card := by classical rw [← card_product, interedges, interedges, ← card_union_of_disjoint, filter_union_filter_neg_eq] exact disjoint_filter.2 fun _ _ ↦ Classical.not_not.2 #align rel.card_interedges_add_card_interedges_compl Rel.card_interedges_add_card_interedges_compl theorem interedges_disjoint_left {s s' : Finset α} (hs : Disjoint s s') (t : Finset β) : Disjoint (interedges r s t) (interedges r s' t) := by rw [Finset.disjoint_left] at hs ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact hs hx.1 hy.1 #align rel.interedges_disjoint_left Rel.interedges_disjoint_left theorem interedges_disjoint_right (s : Finset α) {t t' : Finset β} (ht : Disjoint t t') : Disjoint (interedges r s t) (interedges r s t') := by rw [Finset.disjoint_left] at ht ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact ht hx.2.1 hy.2.1 #align rel.interedges_disjoint_right Rel.interedges_disjoint_right theorem card_interedges_le_mul (s : Finset α) (t : Finset β) : (interedges r s t).card ≤ s.card * t.card := (card_filter_le _ _).trans (card_product _ _).le #align rel.card_interedges_le_mul Rel.card_interedges_le_mul theorem edgeDensity_nonneg (s : Finset α) (t : Finset β) : 0 ≤ edgeDensity r s t := by apply div_nonneg <;> exact mod_cast Nat.zero_le _ #align rel.edge_density_nonneg Rel.edgeDensity_nonneg theorem edgeDensity_le_one (s : Finset α) (t : Finset β) : edgeDensity r s t ≤ 1 := by apply div_le_one_of_le · exact mod_cast card_interedges_le_mul r s t · exact mod_cast Nat.zero_le _ #align rel.edge_density_le_one Rel.edgeDensity_le_one theorem edgeDensity_add_edgeDensity_compl (hs : s.Nonempty) (ht : t.Nonempty) : edgeDensity r s t + edgeDensity (fun x y ↦ ¬r x y) s t = 1 := by rw [edgeDensity, edgeDensity, div_add_div_same, div_eq_one_iff_eq] · exact mod_cast card_interedges_add_card_interedges_compl r s t · exact mod_cast (mul_pos hs.card_pos ht.card_pos).ne' #align rel.edge_density_add_edge_density_compl Rel.edgeDensity_add_edgeDensity_compl @[simp]
Mathlib/Combinatorics/SimpleGraph/Density.lean
154
155
theorem edgeDensity_empty_left (t : Finset β) : edgeDensity r ∅ t = 0 := by
rw [edgeDensity, Finset.card_empty, Nat.cast_zero, zero_mul, div_zero]
1
2.718282
0
0.785714
14
695
import Mathlib.Algebra.Order.Field.Basic import Mathlib.Combinatorics.SimpleGraph.Basic import Mathlib.Data.Rat.Cast.Order import Mathlib.Order.Partition.Finpartition import Mathlib.Tactic.GCongr import Mathlib.Tactic.NormNum import Mathlib.Tactic.Positivity import Mathlib.Tactic.Ring #align_import combinatorics.simple_graph.density from "leanprover-community/mathlib"@"a4ec43f53b0bd44c697bcc3f5a62edd56f269ef1" open Finset variable {𝕜 ι κ α β : Type*} namespace Rel section Asymmetric variable [LinearOrderedField 𝕜] (r : α → β → Prop) [∀ a, DecidablePred (r a)] {s s₁ s₂ : Finset α} {t t₁ t₂ : Finset β} {a : α} {b : β} {δ : 𝕜} def interedges (s : Finset α) (t : Finset β) : Finset (α × β) := (s ×ˢ t).filter fun e ↦ r e.1 e.2 #align rel.interedges Rel.interedges def edgeDensity (s : Finset α) (t : Finset β) : ℚ := (interedges r s t).card / (s.card * t.card) #align rel.edge_density Rel.edgeDensity variable {r} theorem mem_interedges_iff {x : α × β} : x ∈ interedges r s t ↔ x.1 ∈ s ∧ x.2 ∈ t ∧ r x.1 x.2 := by rw [interedges, mem_filter, Finset.mem_product, and_assoc] #align rel.mem_interedges_iff Rel.mem_interedges_iff theorem mk_mem_interedges_iff : (a, b) ∈ interedges r s t ↔ a ∈ s ∧ b ∈ t ∧ r a b := mem_interedges_iff #align rel.mk_mem_interedges_iff Rel.mk_mem_interedges_iff @[simp] theorem interedges_empty_left (t : Finset β) : interedges r ∅ t = ∅ := by rw [interedges, Finset.empty_product, filter_empty] #align rel.interedges_empty_left Rel.interedges_empty_left theorem interedges_mono (hs : s₂ ⊆ s₁) (ht : t₂ ⊆ t₁) : interedges r s₂ t₂ ⊆ interedges r s₁ t₁ := fun x ↦ by simp_rw [mem_interedges_iff] exact fun h ↦ ⟨hs h.1, ht h.2.1, h.2.2⟩ #align rel.interedges_mono Rel.interedges_mono variable (r) theorem card_interedges_add_card_interedges_compl (s : Finset α) (t : Finset β) : (interedges r s t).card + (interedges (fun x y ↦ ¬r x y) s t).card = s.card * t.card := by classical rw [← card_product, interedges, interedges, ← card_union_of_disjoint, filter_union_filter_neg_eq] exact disjoint_filter.2 fun _ _ ↦ Classical.not_not.2 #align rel.card_interedges_add_card_interedges_compl Rel.card_interedges_add_card_interedges_compl theorem interedges_disjoint_left {s s' : Finset α} (hs : Disjoint s s') (t : Finset β) : Disjoint (interedges r s t) (interedges r s' t) := by rw [Finset.disjoint_left] at hs ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact hs hx.1 hy.1 #align rel.interedges_disjoint_left Rel.interedges_disjoint_left theorem interedges_disjoint_right (s : Finset α) {t t' : Finset β} (ht : Disjoint t t') : Disjoint (interedges r s t) (interedges r s t') := by rw [Finset.disjoint_left] at ht ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact ht hx.2.1 hy.2.1 #align rel.interedges_disjoint_right Rel.interedges_disjoint_right theorem card_interedges_le_mul (s : Finset α) (t : Finset β) : (interedges r s t).card ≤ s.card * t.card := (card_filter_le _ _).trans (card_product _ _).le #align rel.card_interedges_le_mul Rel.card_interedges_le_mul theorem edgeDensity_nonneg (s : Finset α) (t : Finset β) : 0 ≤ edgeDensity r s t := by apply div_nonneg <;> exact mod_cast Nat.zero_le _ #align rel.edge_density_nonneg Rel.edgeDensity_nonneg theorem edgeDensity_le_one (s : Finset α) (t : Finset β) : edgeDensity r s t ≤ 1 := by apply div_le_one_of_le · exact mod_cast card_interedges_le_mul r s t · exact mod_cast Nat.zero_le _ #align rel.edge_density_le_one Rel.edgeDensity_le_one theorem edgeDensity_add_edgeDensity_compl (hs : s.Nonempty) (ht : t.Nonempty) : edgeDensity r s t + edgeDensity (fun x y ↦ ¬r x y) s t = 1 := by rw [edgeDensity, edgeDensity, div_add_div_same, div_eq_one_iff_eq] · exact mod_cast card_interedges_add_card_interedges_compl r s t · exact mod_cast (mul_pos hs.card_pos ht.card_pos).ne' #align rel.edge_density_add_edge_density_compl Rel.edgeDensity_add_edgeDensity_compl @[simp] theorem edgeDensity_empty_left (t : Finset β) : edgeDensity r ∅ t = 0 := by rw [edgeDensity, Finset.card_empty, Nat.cast_zero, zero_mul, div_zero] #align rel.edge_density_empty_left Rel.edgeDensity_empty_left @[simp]
Mathlib/Combinatorics/SimpleGraph/Density.lean
159
160
theorem edgeDensity_empty_right (s : Finset α) : edgeDensity r s ∅ = 0 := by
rw [edgeDensity, Finset.card_empty, Nat.cast_zero, mul_zero, div_zero]
1
2.718282
0
0.785714
14
695
import Mathlib.Algebra.Order.Field.Basic import Mathlib.Combinatorics.SimpleGraph.Basic import Mathlib.Data.Rat.Cast.Order import Mathlib.Order.Partition.Finpartition import Mathlib.Tactic.GCongr import Mathlib.Tactic.NormNum import Mathlib.Tactic.Positivity import Mathlib.Tactic.Ring #align_import combinatorics.simple_graph.density from "leanprover-community/mathlib"@"a4ec43f53b0bd44c697bcc3f5a62edd56f269ef1" open Finset variable {𝕜 ι κ α β : Type*} namespace Rel section Asymmetric variable [LinearOrderedField 𝕜] (r : α → β → Prop) [∀ a, DecidablePred (r a)] {s s₁ s₂ : Finset α} {t t₁ t₂ : Finset β} {a : α} {b : β} {δ : 𝕜} def interedges (s : Finset α) (t : Finset β) : Finset (α × β) := (s ×ˢ t).filter fun e ↦ r e.1 e.2 #align rel.interedges Rel.interedges def edgeDensity (s : Finset α) (t : Finset β) : ℚ := (interedges r s t).card / (s.card * t.card) #align rel.edge_density Rel.edgeDensity variable {r} theorem mem_interedges_iff {x : α × β} : x ∈ interedges r s t ↔ x.1 ∈ s ∧ x.2 ∈ t ∧ r x.1 x.2 := by rw [interedges, mem_filter, Finset.mem_product, and_assoc] #align rel.mem_interedges_iff Rel.mem_interedges_iff theorem mk_mem_interedges_iff : (a, b) ∈ interedges r s t ↔ a ∈ s ∧ b ∈ t ∧ r a b := mem_interedges_iff #align rel.mk_mem_interedges_iff Rel.mk_mem_interedges_iff @[simp] theorem interedges_empty_left (t : Finset β) : interedges r ∅ t = ∅ := by rw [interedges, Finset.empty_product, filter_empty] #align rel.interedges_empty_left Rel.interedges_empty_left theorem interedges_mono (hs : s₂ ⊆ s₁) (ht : t₂ ⊆ t₁) : interedges r s₂ t₂ ⊆ interedges r s₁ t₁ := fun x ↦ by simp_rw [mem_interedges_iff] exact fun h ↦ ⟨hs h.1, ht h.2.1, h.2.2⟩ #align rel.interedges_mono Rel.interedges_mono variable (r) theorem card_interedges_add_card_interedges_compl (s : Finset α) (t : Finset β) : (interedges r s t).card + (interedges (fun x y ↦ ¬r x y) s t).card = s.card * t.card := by classical rw [← card_product, interedges, interedges, ← card_union_of_disjoint, filter_union_filter_neg_eq] exact disjoint_filter.2 fun _ _ ↦ Classical.not_not.2 #align rel.card_interedges_add_card_interedges_compl Rel.card_interedges_add_card_interedges_compl theorem interedges_disjoint_left {s s' : Finset α} (hs : Disjoint s s') (t : Finset β) : Disjoint (interedges r s t) (interedges r s' t) := by rw [Finset.disjoint_left] at hs ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact hs hx.1 hy.1 #align rel.interedges_disjoint_left Rel.interedges_disjoint_left theorem interedges_disjoint_right (s : Finset α) {t t' : Finset β} (ht : Disjoint t t') : Disjoint (interedges r s t) (interedges r s t') := by rw [Finset.disjoint_left] at ht ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact ht hx.2.1 hy.2.1 #align rel.interedges_disjoint_right Rel.interedges_disjoint_right section Symmetric variable (r : α → α → Prop) [DecidableRel r] {s s₁ s₂ t t₁ t₂ : Finset α} {a b : α} variable {r} (hr : Symmetric r) @[simp]
Mathlib/Combinatorics/SimpleGraph/Density.lean
272
274
theorem swap_mem_interedges_iff {x : α × α} : x.swap ∈ interedges r s t ↔ x ∈ interedges r t s := by
rw [mem_interedges_iff, mem_interedges_iff, hr.iff] exact and_left_comm
2
7.389056
1
0.785714
14
695
import Mathlib.RingTheory.Polynomial.Cyclotomic.Roots import Mathlib.Tactic.ByContra import Mathlib.Topology.Algebra.Polynomial import Mathlib.NumberTheory.Padics.PadicVal import Mathlib.Analysis.Complex.Arg #align_import ring_theory.polynomial.cyclotomic.eval from "leanprover-community/mathlib"@"5bfbcca0a7ffdd21cf1682e59106d6c942434a32" namespace Polynomial open Finset Nat @[simp]
Mathlib/RingTheory/Polynomial/Cyclotomic/Eval.lean
29
32
theorem eval_one_cyclotomic_prime {R : Type*} [CommRing R] {p : ℕ} [hn : Fact p.Prime] : eval 1 (cyclotomic p R) = p := by
simp only [cyclotomic_prime, eval_X, one_pow, Finset.sum_const, eval_pow, eval_finset_sum, Finset.card_range, smul_one_eq_cast]
2
7.389056
1
0.8
5
696
import Mathlib.RingTheory.Polynomial.Cyclotomic.Roots import Mathlib.Tactic.ByContra import Mathlib.Topology.Algebra.Polynomial import Mathlib.NumberTheory.Padics.PadicVal import Mathlib.Analysis.Complex.Arg #align_import ring_theory.polynomial.cyclotomic.eval from "leanprover-community/mathlib"@"5bfbcca0a7ffdd21cf1682e59106d6c942434a32" namespace Polynomial open Finset Nat @[simp] theorem eval_one_cyclotomic_prime {R : Type*} [CommRing R] {p : ℕ} [hn : Fact p.Prime] : eval 1 (cyclotomic p R) = p := by simp only [cyclotomic_prime, eval_X, one_pow, Finset.sum_const, eval_pow, eval_finset_sum, Finset.card_range, smul_one_eq_cast] #align polynomial.eval_one_cyclotomic_prime Polynomial.eval_one_cyclotomic_prime -- @[simp] -- Porting note (#10618): simp already proves this
Mathlib/RingTheory/Polynomial/Cyclotomic/Eval.lean
36
37
theorem eval₂_one_cyclotomic_prime {R S : Type*} [CommRing R] [Semiring S] (f : R →+* S) {p : ℕ} [Fact p.Prime] : eval₂ f 1 (cyclotomic p R) = p := by
simp
1
2.718282
0
0.8
5
696
import Mathlib.RingTheory.Polynomial.Cyclotomic.Roots import Mathlib.Tactic.ByContra import Mathlib.Topology.Algebra.Polynomial import Mathlib.NumberTheory.Padics.PadicVal import Mathlib.Analysis.Complex.Arg #align_import ring_theory.polynomial.cyclotomic.eval from "leanprover-community/mathlib"@"5bfbcca0a7ffdd21cf1682e59106d6c942434a32" namespace Polynomial open Finset Nat @[simp] theorem eval_one_cyclotomic_prime {R : Type*} [CommRing R] {p : ℕ} [hn : Fact p.Prime] : eval 1 (cyclotomic p R) = p := by simp only [cyclotomic_prime, eval_X, one_pow, Finset.sum_const, eval_pow, eval_finset_sum, Finset.card_range, smul_one_eq_cast] #align polynomial.eval_one_cyclotomic_prime Polynomial.eval_one_cyclotomic_prime -- @[simp] -- Porting note (#10618): simp already proves this theorem eval₂_one_cyclotomic_prime {R S : Type*} [CommRing R] [Semiring S] (f : R →+* S) {p : ℕ} [Fact p.Prime] : eval₂ f 1 (cyclotomic p R) = p := by simp #align polynomial.eval₂_one_cyclotomic_prime Polynomial.eval₂_one_cyclotomic_prime @[simp]
Mathlib/RingTheory/Polynomial/Cyclotomic/Eval.lean
41
44
theorem eval_one_cyclotomic_prime_pow {R : Type*} [CommRing R] {p : ℕ} (k : ℕ) [hn : Fact p.Prime] : eval 1 (cyclotomic (p ^ (k + 1)) R) = p := by
simp only [cyclotomic_prime_pow_eq_geom_sum hn.out, eval_X, one_pow, Finset.sum_const, eval_pow, eval_finset_sum, Finset.card_range, smul_one_eq_cast]
2
7.389056
1
0.8
5
696
import Mathlib.RingTheory.Polynomial.Cyclotomic.Roots import Mathlib.Tactic.ByContra import Mathlib.Topology.Algebra.Polynomial import Mathlib.NumberTheory.Padics.PadicVal import Mathlib.Analysis.Complex.Arg #align_import ring_theory.polynomial.cyclotomic.eval from "leanprover-community/mathlib"@"5bfbcca0a7ffdd21cf1682e59106d6c942434a32" namespace Polynomial open Finset Nat @[simp] theorem eval_one_cyclotomic_prime {R : Type*} [CommRing R] {p : ℕ} [hn : Fact p.Prime] : eval 1 (cyclotomic p R) = p := by simp only [cyclotomic_prime, eval_X, one_pow, Finset.sum_const, eval_pow, eval_finset_sum, Finset.card_range, smul_one_eq_cast] #align polynomial.eval_one_cyclotomic_prime Polynomial.eval_one_cyclotomic_prime -- @[simp] -- Porting note (#10618): simp already proves this theorem eval₂_one_cyclotomic_prime {R S : Type*} [CommRing R] [Semiring S] (f : R →+* S) {p : ℕ} [Fact p.Prime] : eval₂ f 1 (cyclotomic p R) = p := by simp #align polynomial.eval₂_one_cyclotomic_prime Polynomial.eval₂_one_cyclotomic_prime @[simp] theorem eval_one_cyclotomic_prime_pow {R : Type*} [CommRing R] {p : ℕ} (k : ℕ) [hn : Fact p.Prime] : eval 1 (cyclotomic (p ^ (k + 1)) R) = p := by simp only [cyclotomic_prime_pow_eq_geom_sum hn.out, eval_X, one_pow, Finset.sum_const, eval_pow, eval_finset_sum, Finset.card_range, smul_one_eq_cast] #align polynomial.eval_one_cyclotomic_prime_pow Polynomial.eval_one_cyclotomic_prime_pow -- @[simp] -- Porting note (#10618): simp already proves this
Mathlib/RingTheory/Polynomial/Cyclotomic/Eval.lean
48
49
theorem eval₂_one_cyclotomic_prime_pow {R S : Type*} [CommRing R] [Semiring S] (f : R →+* S) {p : ℕ} (k : ℕ) [Fact p.Prime] : eval₂ f 1 (cyclotomic (p ^ (k + 1)) R) = p := by
simp
1
2.718282
0
0.8
5
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import Mathlib.RingTheory.Polynomial.Cyclotomic.Roots import Mathlib.Tactic.ByContra import Mathlib.Topology.Algebra.Polynomial import Mathlib.NumberTheory.Padics.PadicVal import Mathlib.Analysis.Complex.Arg #align_import ring_theory.polynomial.cyclotomic.eval from "leanprover-community/mathlib"@"5bfbcca0a7ffdd21cf1682e59106d6c942434a32" namespace Polynomial open Finset Nat @[simp] theorem eval_one_cyclotomic_prime {R : Type*} [CommRing R] {p : ℕ} [hn : Fact p.Prime] : eval 1 (cyclotomic p R) = p := by simp only [cyclotomic_prime, eval_X, one_pow, Finset.sum_const, eval_pow, eval_finset_sum, Finset.card_range, smul_one_eq_cast] #align polynomial.eval_one_cyclotomic_prime Polynomial.eval_one_cyclotomic_prime -- @[simp] -- Porting note (#10618): simp already proves this theorem eval₂_one_cyclotomic_prime {R S : Type*} [CommRing R] [Semiring S] (f : R →+* S) {p : ℕ} [Fact p.Prime] : eval₂ f 1 (cyclotomic p R) = p := by simp #align polynomial.eval₂_one_cyclotomic_prime Polynomial.eval₂_one_cyclotomic_prime @[simp] theorem eval_one_cyclotomic_prime_pow {R : Type*} [CommRing R] {p : ℕ} (k : ℕ) [hn : Fact p.Prime] : eval 1 (cyclotomic (p ^ (k + 1)) R) = p := by simp only [cyclotomic_prime_pow_eq_geom_sum hn.out, eval_X, one_pow, Finset.sum_const, eval_pow, eval_finset_sum, Finset.card_range, smul_one_eq_cast] #align polynomial.eval_one_cyclotomic_prime_pow Polynomial.eval_one_cyclotomic_prime_pow -- @[simp] -- Porting note (#10618): simp already proves this theorem eval₂_one_cyclotomic_prime_pow {R S : Type*} [CommRing R] [Semiring S] (f : R →+* S) {p : ℕ} (k : ℕ) [Fact p.Prime] : eval₂ f 1 (cyclotomic (p ^ (k + 1)) R) = p := by simp #align polynomial.eval₂_one_cyclotomic_prime_pow Polynomial.eval₂_one_cyclotomic_prime_pow private theorem cyclotomic_neg_one_pos {n : ℕ} (hn : 2 < n) {R} [LinearOrderedCommRing R] : 0 < eval (-1 : R) (cyclotomic n R) := by haveI := NeZero.of_gt hn rw [← map_cyclotomic_int, ← Int.cast_one, ← Int.cast_neg, eval_intCast_map, Int.coe_castRingHom, Int.cast_pos] suffices 0 < eval (↑(-1 : ℤ)) (cyclotomic n ℝ) by rw [← map_cyclotomic_int n ℝ, eval_intCast_map, Int.coe_castRingHom] at this simpa only [Int.cast_pos] using this simp only [Int.cast_one, Int.cast_neg] have h0 := cyclotomic_coeff_zero ℝ hn.le rw [coeff_zero_eq_eval_zero] at h0 by_contra! hx have := intermediate_value_univ (-1) 0 (cyclotomic n ℝ).continuous obtain ⟨y, hy : IsRoot _ y⟩ := this (show (0 : ℝ) ∈ Set.Icc _ _ by simpa [h0] using hx) rw [@isRoot_cyclotomic_iff] at hy rw [hy.eq_orderOf] at hn exact hn.not_le LinearOrderedRing.orderOf_le_two
Mathlib/RingTheory/Polynomial/Cyclotomic/Eval.lean
70
111
theorem cyclotomic_pos {n : ℕ} (hn : 2 < n) {R} [LinearOrderedCommRing R] (x : R) : 0 < eval x (cyclotomic n R) := by
induction' n using Nat.strong_induction_on with n ih have hn' : 0 < n := pos_of_gt hn have hn'' : 1 < n := one_lt_two.trans hn have := prod_cyclotomic_eq_geom_sum hn' R apply_fun eval x at this rw [← cons_self_properDivisors hn'.ne', Finset.erase_cons_of_ne _ hn''.ne', Finset.prod_cons, eval_mul, eval_geom_sum] at this rcases lt_trichotomy 0 (∑ i ∈ Finset.range n, x ^ i) with (h | h | h) · apply pos_of_mul_pos_left · rwa [this] rw [eval_prod] refine Finset.prod_nonneg fun i hi => ?_ simp only [Finset.mem_erase, mem_properDivisors] at hi rw [geom_sum_pos_iff hn'.ne'] at h cases' h with hk hx · refine (ih _ hi.2.2 (Nat.two_lt_of_ne ?_ hi.1 ?_)).le <;> rintro rfl · exact hn'.ne' (zero_dvd_iff.mp hi.2.1) · exact even_iff_not_odd.mp (even_iff_two_dvd.mpr hi.2.1) hk · rcases eq_or_ne i 2 with (rfl | hk) · simpa only [eval_X, eval_one, cyclotomic_two, eval_add] using hx.le refine (ih _ hi.2.2 (Nat.two_lt_of_ne ?_ hi.1 hk)).le rintro rfl exact hn'.ne' <| zero_dvd_iff.mp hi.2.1 · rw [eq_comm, geom_sum_eq_zero_iff_neg_one hn'.ne'] at h exact h.1.symm ▸ cyclotomic_neg_one_pos hn · apply pos_of_mul_neg_left · rwa [this] rw [geom_sum_neg_iff hn'.ne'] at h have h2 : 2 ∈ n.properDivisors.erase 1 := by rw [Finset.mem_erase, mem_properDivisors] exact ⟨by decide, even_iff_two_dvd.mp h.1, hn⟩ rw [eval_prod, ← Finset.prod_erase_mul _ _ h2] apply mul_nonpos_of_nonneg_of_nonpos · refine Finset.prod_nonneg fun i hi => le_of_lt ?_ simp only [Finset.mem_erase, mem_properDivisors] at hi refine ih _ hi.2.2.2 (Nat.two_lt_of_ne ?_ hi.2.1 hi.1) rintro rfl rw [zero_dvd_iff] at hi exact hn'.ne' hi.2.2.1 · simpa only [eval_X, eval_one, cyclotomic_two, eval_add] using h.right.le
40
235,385,266,837,019,970
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import Mathlib.RingTheory.GradedAlgebra.HomogeneousIdeal import Mathlib.Topology.Category.TopCat.Basic import Mathlib.Topology.Sets.Opens import Mathlib.Data.Set.Subsingleton #align_import algebraic_geometry.projective_spectrum.topology from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" noncomputable section open DirectSum Pointwise SetLike TopCat TopologicalSpace CategoryTheory Opposite variable {R A : Type*} variable [CommSemiring R] [CommRing A] [Algebra R A] variable (𝒜 : ℕ → Submodule R A) [GradedAlgebra 𝒜] -- porting note (#5171): removed @[nolint has_nonempty_instance] @[ext] structure ProjectiveSpectrum where asHomogeneousIdeal : HomogeneousIdeal 𝒜 isPrime : asHomogeneousIdeal.toIdeal.IsPrime not_irrelevant_le : ¬HomogeneousIdeal.irrelevant 𝒜 ≤ asHomogeneousIdeal #align projective_spectrum ProjectiveSpectrum attribute [instance] ProjectiveSpectrum.isPrime namespace ProjectiveSpectrum def zeroLocus (s : Set A) : Set (ProjectiveSpectrum 𝒜) := { x | s ⊆ x.asHomogeneousIdeal } #align projective_spectrum.zero_locus ProjectiveSpectrum.zeroLocus @[simp] theorem mem_zeroLocus (x : ProjectiveSpectrum 𝒜) (s : Set A) : x ∈ zeroLocus 𝒜 s ↔ s ⊆ x.asHomogeneousIdeal := Iff.rfl #align projective_spectrum.mem_zero_locus ProjectiveSpectrum.mem_zeroLocus @[simp]
Mathlib/AlgebraicGeometry/ProjectiveSpectrum/Topology.lean
81
83
theorem zeroLocus_span (s : Set A) : zeroLocus 𝒜 (Ideal.span s) = zeroLocus 𝒜 s := by
ext x exact (Submodule.gi _ _).gc s x.asHomogeneousIdeal.toIdeal
2
7.389056
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import Mathlib.RingTheory.GradedAlgebra.HomogeneousIdeal import Mathlib.Topology.Category.TopCat.Basic import Mathlib.Topology.Sets.Opens import Mathlib.Data.Set.Subsingleton #align_import algebraic_geometry.projective_spectrum.topology from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" noncomputable section open DirectSum Pointwise SetLike TopCat TopologicalSpace CategoryTheory Opposite variable {R A : Type*} variable [CommSemiring R] [CommRing A] [Algebra R A] variable (𝒜 : ℕ → Submodule R A) [GradedAlgebra 𝒜] -- porting note (#5171): removed @[nolint has_nonempty_instance] @[ext] structure ProjectiveSpectrum where asHomogeneousIdeal : HomogeneousIdeal 𝒜 isPrime : asHomogeneousIdeal.toIdeal.IsPrime not_irrelevant_le : ¬HomogeneousIdeal.irrelevant 𝒜 ≤ asHomogeneousIdeal #align projective_spectrum ProjectiveSpectrum attribute [instance] ProjectiveSpectrum.isPrime namespace ProjectiveSpectrum def zeroLocus (s : Set A) : Set (ProjectiveSpectrum 𝒜) := { x | s ⊆ x.asHomogeneousIdeal } #align projective_spectrum.zero_locus ProjectiveSpectrum.zeroLocus @[simp] theorem mem_zeroLocus (x : ProjectiveSpectrum 𝒜) (s : Set A) : x ∈ zeroLocus 𝒜 s ↔ s ⊆ x.asHomogeneousIdeal := Iff.rfl #align projective_spectrum.mem_zero_locus ProjectiveSpectrum.mem_zeroLocus @[simp] theorem zeroLocus_span (s : Set A) : zeroLocus 𝒜 (Ideal.span s) = zeroLocus 𝒜 s := by ext x exact (Submodule.gi _ _).gc s x.asHomogeneousIdeal.toIdeal #align projective_spectrum.zero_locus_span ProjectiveSpectrum.zeroLocus_span variable {𝒜} def vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) : HomogeneousIdeal 𝒜 := ⨅ (x : ProjectiveSpectrum 𝒜) (_ : x ∈ t), x.asHomogeneousIdeal #align projective_spectrum.vanishing_ideal ProjectiveSpectrum.vanishingIdeal
Mathlib/AlgebraicGeometry/ProjectiveSpectrum/Topology.lean
99
106
theorem coe_vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) : (vanishingIdeal t : Set A) = { f | ∀ x : ProjectiveSpectrum 𝒜, x ∈ t → f ∈ x.asHomogeneousIdeal } := by
ext f rw [vanishingIdeal, SetLike.mem_coe, ← HomogeneousIdeal.mem_iff, HomogeneousIdeal.toIdeal_iInf, Submodule.mem_iInf] refine forall_congr' fun x => ?_ rw [HomogeneousIdeal.toIdeal_iInf, Submodule.mem_iInf, HomogeneousIdeal.mem_iff]
5
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import Mathlib.RingTheory.GradedAlgebra.HomogeneousIdeal import Mathlib.Topology.Category.TopCat.Basic import Mathlib.Topology.Sets.Opens import Mathlib.Data.Set.Subsingleton #align_import algebraic_geometry.projective_spectrum.topology from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" noncomputable section open DirectSum Pointwise SetLike TopCat TopologicalSpace CategoryTheory Opposite variable {R A : Type*} variable [CommSemiring R] [CommRing A] [Algebra R A] variable (𝒜 : ℕ → Submodule R A) [GradedAlgebra 𝒜] -- porting note (#5171): removed @[nolint has_nonempty_instance] @[ext] structure ProjectiveSpectrum where asHomogeneousIdeal : HomogeneousIdeal 𝒜 isPrime : asHomogeneousIdeal.toIdeal.IsPrime not_irrelevant_le : ¬HomogeneousIdeal.irrelevant 𝒜 ≤ asHomogeneousIdeal #align projective_spectrum ProjectiveSpectrum attribute [instance] ProjectiveSpectrum.isPrime namespace ProjectiveSpectrum def zeroLocus (s : Set A) : Set (ProjectiveSpectrum 𝒜) := { x | s ⊆ x.asHomogeneousIdeal } #align projective_spectrum.zero_locus ProjectiveSpectrum.zeroLocus @[simp] theorem mem_zeroLocus (x : ProjectiveSpectrum 𝒜) (s : Set A) : x ∈ zeroLocus 𝒜 s ↔ s ⊆ x.asHomogeneousIdeal := Iff.rfl #align projective_spectrum.mem_zero_locus ProjectiveSpectrum.mem_zeroLocus @[simp] theorem zeroLocus_span (s : Set A) : zeroLocus 𝒜 (Ideal.span s) = zeroLocus 𝒜 s := by ext x exact (Submodule.gi _ _).gc s x.asHomogeneousIdeal.toIdeal #align projective_spectrum.zero_locus_span ProjectiveSpectrum.zeroLocus_span variable {𝒜} def vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) : HomogeneousIdeal 𝒜 := ⨅ (x : ProjectiveSpectrum 𝒜) (_ : x ∈ t), x.asHomogeneousIdeal #align projective_spectrum.vanishing_ideal ProjectiveSpectrum.vanishingIdeal theorem coe_vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) : (vanishingIdeal t : Set A) = { f | ∀ x : ProjectiveSpectrum 𝒜, x ∈ t → f ∈ x.asHomogeneousIdeal } := by ext f rw [vanishingIdeal, SetLike.mem_coe, ← HomogeneousIdeal.mem_iff, HomogeneousIdeal.toIdeal_iInf, Submodule.mem_iInf] refine forall_congr' fun x => ?_ rw [HomogeneousIdeal.toIdeal_iInf, Submodule.mem_iInf, HomogeneousIdeal.mem_iff] #align projective_spectrum.coe_vanishing_ideal ProjectiveSpectrum.coe_vanishingIdeal
Mathlib/AlgebraicGeometry/ProjectiveSpectrum/Topology.lean
109
111
theorem mem_vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) (f : A) : f ∈ vanishingIdeal t ↔ ∀ x : ProjectiveSpectrum 𝒜, x ∈ t → f ∈ x.asHomogeneousIdeal := by
rw [← SetLike.mem_coe, coe_vanishingIdeal, Set.mem_setOf_eq]
1
2.718282
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import Mathlib.RingTheory.GradedAlgebra.HomogeneousIdeal import Mathlib.Topology.Category.TopCat.Basic import Mathlib.Topology.Sets.Opens import Mathlib.Data.Set.Subsingleton #align_import algebraic_geometry.projective_spectrum.topology from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" noncomputable section open DirectSum Pointwise SetLike TopCat TopologicalSpace CategoryTheory Opposite variable {R A : Type*} variable [CommSemiring R] [CommRing A] [Algebra R A] variable (𝒜 : ℕ → Submodule R A) [GradedAlgebra 𝒜] -- porting note (#5171): removed @[nolint has_nonempty_instance] @[ext] structure ProjectiveSpectrum where asHomogeneousIdeal : HomogeneousIdeal 𝒜 isPrime : asHomogeneousIdeal.toIdeal.IsPrime not_irrelevant_le : ¬HomogeneousIdeal.irrelevant 𝒜 ≤ asHomogeneousIdeal #align projective_spectrum ProjectiveSpectrum attribute [instance] ProjectiveSpectrum.isPrime namespace ProjectiveSpectrum def zeroLocus (s : Set A) : Set (ProjectiveSpectrum 𝒜) := { x | s ⊆ x.asHomogeneousIdeal } #align projective_spectrum.zero_locus ProjectiveSpectrum.zeroLocus @[simp] theorem mem_zeroLocus (x : ProjectiveSpectrum 𝒜) (s : Set A) : x ∈ zeroLocus 𝒜 s ↔ s ⊆ x.asHomogeneousIdeal := Iff.rfl #align projective_spectrum.mem_zero_locus ProjectiveSpectrum.mem_zeroLocus @[simp] theorem zeroLocus_span (s : Set A) : zeroLocus 𝒜 (Ideal.span s) = zeroLocus 𝒜 s := by ext x exact (Submodule.gi _ _).gc s x.asHomogeneousIdeal.toIdeal #align projective_spectrum.zero_locus_span ProjectiveSpectrum.zeroLocus_span variable {𝒜} def vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) : HomogeneousIdeal 𝒜 := ⨅ (x : ProjectiveSpectrum 𝒜) (_ : x ∈ t), x.asHomogeneousIdeal #align projective_spectrum.vanishing_ideal ProjectiveSpectrum.vanishingIdeal theorem coe_vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) : (vanishingIdeal t : Set A) = { f | ∀ x : ProjectiveSpectrum 𝒜, x ∈ t → f ∈ x.asHomogeneousIdeal } := by ext f rw [vanishingIdeal, SetLike.mem_coe, ← HomogeneousIdeal.mem_iff, HomogeneousIdeal.toIdeal_iInf, Submodule.mem_iInf] refine forall_congr' fun x => ?_ rw [HomogeneousIdeal.toIdeal_iInf, Submodule.mem_iInf, HomogeneousIdeal.mem_iff] #align projective_spectrum.coe_vanishing_ideal ProjectiveSpectrum.coe_vanishingIdeal theorem mem_vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) (f : A) : f ∈ vanishingIdeal t ↔ ∀ x : ProjectiveSpectrum 𝒜, x ∈ t → f ∈ x.asHomogeneousIdeal := by rw [← SetLike.mem_coe, coe_vanishingIdeal, Set.mem_setOf_eq] #align projective_spectrum.mem_vanishing_ideal ProjectiveSpectrum.mem_vanishingIdeal @[simp]
Mathlib/AlgebraicGeometry/ProjectiveSpectrum/Topology.lean
115
117
theorem vanishingIdeal_singleton (x : ProjectiveSpectrum 𝒜) : vanishingIdeal ({x} : Set (ProjectiveSpectrum 𝒜)) = x.asHomogeneousIdeal := by
simp [vanishingIdeal]
1
2.718282
0
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import Mathlib.RingTheory.GradedAlgebra.HomogeneousIdeal import Mathlib.Topology.Category.TopCat.Basic import Mathlib.Topology.Sets.Opens import Mathlib.Data.Set.Subsingleton #align_import algebraic_geometry.projective_spectrum.topology from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" noncomputable section open DirectSum Pointwise SetLike TopCat TopologicalSpace CategoryTheory Opposite variable {R A : Type*} variable [CommSemiring R] [CommRing A] [Algebra R A] variable (𝒜 : ℕ → Submodule R A) [GradedAlgebra 𝒜] -- porting note (#5171): removed @[nolint has_nonempty_instance] @[ext] structure ProjectiveSpectrum where asHomogeneousIdeal : HomogeneousIdeal 𝒜 isPrime : asHomogeneousIdeal.toIdeal.IsPrime not_irrelevant_le : ¬HomogeneousIdeal.irrelevant 𝒜 ≤ asHomogeneousIdeal #align projective_spectrum ProjectiveSpectrum attribute [instance] ProjectiveSpectrum.isPrime namespace ProjectiveSpectrum def zeroLocus (s : Set A) : Set (ProjectiveSpectrum 𝒜) := { x | s ⊆ x.asHomogeneousIdeal } #align projective_spectrum.zero_locus ProjectiveSpectrum.zeroLocus @[simp] theorem mem_zeroLocus (x : ProjectiveSpectrum 𝒜) (s : Set A) : x ∈ zeroLocus 𝒜 s ↔ s ⊆ x.asHomogeneousIdeal := Iff.rfl #align projective_spectrum.mem_zero_locus ProjectiveSpectrum.mem_zeroLocus @[simp] theorem zeroLocus_span (s : Set A) : zeroLocus 𝒜 (Ideal.span s) = zeroLocus 𝒜 s := by ext x exact (Submodule.gi _ _).gc s x.asHomogeneousIdeal.toIdeal #align projective_spectrum.zero_locus_span ProjectiveSpectrum.zeroLocus_span variable {𝒜} def vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) : HomogeneousIdeal 𝒜 := ⨅ (x : ProjectiveSpectrum 𝒜) (_ : x ∈ t), x.asHomogeneousIdeal #align projective_spectrum.vanishing_ideal ProjectiveSpectrum.vanishingIdeal theorem coe_vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) : (vanishingIdeal t : Set A) = { f | ∀ x : ProjectiveSpectrum 𝒜, x ∈ t → f ∈ x.asHomogeneousIdeal } := by ext f rw [vanishingIdeal, SetLike.mem_coe, ← HomogeneousIdeal.mem_iff, HomogeneousIdeal.toIdeal_iInf, Submodule.mem_iInf] refine forall_congr' fun x => ?_ rw [HomogeneousIdeal.toIdeal_iInf, Submodule.mem_iInf, HomogeneousIdeal.mem_iff] #align projective_spectrum.coe_vanishing_ideal ProjectiveSpectrum.coe_vanishingIdeal theorem mem_vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) (f : A) : f ∈ vanishingIdeal t ↔ ∀ x : ProjectiveSpectrum 𝒜, x ∈ t → f ∈ x.asHomogeneousIdeal := by rw [← SetLike.mem_coe, coe_vanishingIdeal, Set.mem_setOf_eq] #align projective_spectrum.mem_vanishing_ideal ProjectiveSpectrum.mem_vanishingIdeal @[simp] theorem vanishingIdeal_singleton (x : ProjectiveSpectrum 𝒜) : vanishingIdeal ({x} : Set (ProjectiveSpectrum 𝒜)) = x.asHomogeneousIdeal := by simp [vanishingIdeal] #align projective_spectrum.vanishing_ideal_singleton ProjectiveSpectrum.vanishingIdeal_singleton theorem subset_zeroLocus_iff_le_vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) (I : Ideal A) : t ⊆ zeroLocus 𝒜 I ↔ I ≤ (vanishingIdeal t).toIdeal := ⟨fun h _ k => (mem_vanishingIdeal _ _).mpr fun _ j => (mem_zeroLocus _ _ _).mpr (h j) k, fun h => fun x j => (mem_zeroLocus _ _ _).mpr (le_trans h fun _ h => ((mem_vanishingIdeal _ _).mp h) x j)⟩ #align projective_spectrum.subset_zero_locus_iff_le_vanishing_ideal ProjectiveSpectrum.subset_zeroLocus_iff_le_vanishingIdeal variable (𝒜) theorem gc_ideal : @GaloisConnection (Ideal A) (Set (ProjectiveSpectrum 𝒜))ᵒᵈ _ _ (fun I => zeroLocus 𝒜 I) fun t => (vanishingIdeal t).toIdeal := fun I t => subset_zeroLocus_iff_le_vanishingIdeal t I #align projective_spectrum.gc_ideal ProjectiveSpectrum.gc_ideal
Mathlib/AlgebraicGeometry/ProjectiveSpectrum/Topology.lean
137
141
theorem gc_set : @GaloisConnection (Set A) (Set (ProjectiveSpectrum 𝒜))ᵒᵈ _ _ (fun s => zeroLocus 𝒜 s) fun t => vanishingIdeal t := by
have ideal_gc : GaloisConnection Ideal.span _ := (Submodule.gi A _).gc simpa [zeroLocus_span, Function.comp] using GaloisConnection.compose ideal_gc (gc_ideal 𝒜)
2
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import Mathlib.Order.Filter.Lift import Mathlib.Order.Filter.AtTopBot #align_import order.filter.small_sets from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" open Filter open Filter Set variable {α β : Type*} {ι : Sort*} namespace Filter variable {l l' la : Filter α} {lb : Filter β} def smallSets (l : Filter α) : Filter (Set α) := l.lift' powerset #align filter.small_sets Filter.smallSets
Mathlib/Order/Filter/SmallSets.lean
40
42
theorem smallSets_eq_generate {f : Filter α} : f.smallSets = generate (powerset '' f.sets) := by
simp_rw [generate_eq_biInf, smallSets, iInf_image] rfl
2
7.389056
1
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import Mathlib.Order.Filter.Lift import Mathlib.Order.Filter.AtTopBot #align_import order.filter.small_sets from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" open Filter open Filter Set variable {α β : Type*} {ι : Sort*} namespace Filter variable {l l' la : Filter α} {lb : Filter β} def smallSets (l : Filter α) : Filter (Set α) := l.lift' powerset #align filter.small_sets Filter.smallSets theorem smallSets_eq_generate {f : Filter α} : f.smallSets = generate (powerset '' f.sets) := by simp_rw [generate_eq_biInf, smallSets, iInf_image] rfl #align filter.small_sets_eq_generate Filter.smallSets_eq_generate -- TODO: get more properties from the adjunction? -- TODO: is there a general way to get a lower adjoint for the lift of an upper adjoint?
Mathlib/Order/Filter/SmallSets.lean
47
51
theorem bind_smallSets_gc : GaloisConnection (fun L : Filter (Set α) ↦ L.bind principal) smallSets := by
intro L l simp_rw [smallSets_eq_generate, le_generate_iff, image_subset_iff] rfl
3
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698
import Mathlib.Order.Filter.Lift import Mathlib.Order.Filter.AtTopBot #align_import order.filter.small_sets from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" open Filter open Filter Set variable {α β : Type*} {ι : Sort*} namespace Filter variable {l l' la : Filter α} {lb : Filter β} def smallSets (l : Filter α) : Filter (Set α) := l.lift' powerset #align filter.small_sets Filter.smallSets theorem smallSets_eq_generate {f : Filter α} : f.smallSets = generate (powerset '' f.sets) := by simp_rw [generate_eq_biInf, smallSets, iInf_image] rfl #align filter.small_sets_eq_generate Filter.smallSets_eq_generate -- TODO: get more properties from the adjunction? -- TODO: is there a general way to get a lower adjoint for the lift of an upper adjoint? theorem bind_smallSets_gc : GaloisConnection (fun L : Filter (Set α) ↦ L.bind principal) smallSets := by intro L l simp_rw [smallSets_eq_generate, le_generate_iff, image_subset_iff] rfl protected theorem HasBasis.smallSets {p : ι → Prop} {s : ι → Set α} (h : HasBasis l p s) : HasBasis l.smallSets p fun i => 𝒫 s i := h.lift' monotone_powerset #align filter.has_basis.small_sets Filter.HasBasis.smallSets theorem hasBasis_smallSets (l : Filter α) : HasBasis l.smallSets (fun t : Set α => t ∈ l) powerset := l.basis_sets.smallSets #align filter.has_basis_small_sets Filter.hasBasis_smallSets theorem tendsto_smallSets_iff {f : α → Set β} : Tendsto f la lb.smallSets ↔ ∀ t ∈ lb, ∀ᶠ x in la, f x ⊆ t := (hasBasis_smallSets lb).tendsto_right_iff #align filter.tendsto_small_sets_iff Filter.tendsto_smallSets_iff theorem eventually_smallSets {p : Set α → Prop} : (∀ᶠ s in l.smallSets, p s) ↔ ∃ s ∈ l, ∀ t, t ⊆ s → p t := eventually_lift'_iff monotone_powerset #align filter.eventually_small_sets Filter.eventually_smallSets theorem eventually_smallSets' {p : Set α → Prop} (hp : ∀ ⦃s t⦄, s ⊆ t → p t → p s) : (∀ᶠ s in l.smallSets, p s) ↔ ∃ s ∈ l, p s := eventually_smallSets.trans <| exists_congr fun s => Iff.rfl.and ⟨fun H => H s Subset.rfl, fun hs _t ht => hp ht hs⟩ #align filter.eventually_small_sets' Filter.eventually_smallSets' theorem frequently_smallSets {p : Set α → Prop} : (∃ᶠ s in l.smallSets, p s) ↔ ∀ t ∈ l, ∃ s, s ⊆ t ∧ p s := l.hasBasis_smallSets.frequently_iff #align filter.frequently_small_sets Filter.frequently_smallSets theorem frequently_smallSets_mem (l : Filter α) : ∃ᶠ s in l.smallSets, s ∈ l := frequently_smallSets.2 fun t ht => ⟨t, Subset.rfl, ht⟩ #align filter.frequently_small_sets_mem Filter.frequently_smallSets_mem @[simp] lemma tendsto_image_smallSets {f : α → β} : Tendsto (f '' ·) la.smallSets lb.smallSets ↔ Tendsto f la lb := by rw [tendsto_smallSets_iff] refine forall₂_congr fun u hu ↦ ?_ rw [eventually_smallSets' fun s t hst ht ↦ (image_subset _ hst).trans ht] simp only [image_subset_iff, exists_mem_subset_iff, mem_map] alias ⟨_, Tendsto.image_smallSets⟩ := tendsto_image_smallSets theorem HasAntitoneBasis.tendsto_smallSets {ι} [Preorder ι] {s : ι → Set α} (hl : l.HasAntitoneBasis s) : Tendsto s atTop l.smallSets := tendsto_smallSets_iff.2 fun _t ht => hl.eventually_subset ht #align filter.has_antitone_basis.tendsto_small_sets Filter.HasAntitoneBasis.tendsto_smallSets @[mono] theorem monotone_smallSets : Monotone (@smallSets α) := monotone_lift' monotone_id monotone_const #align filter.monotone_small_sets Filter.monotone_smallSets @[simp]
Mathlib/Order/Filter/SmallSets.lean
110
112
theorem smallSets_bot : (⊥ : Filter α).smallSets = pure ∅ := by
rw [smallSets, lift'_bot, powerset_empty, principal_singleton] exact monotone_powerset
2
7.389056
1
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import Mathlib.Order.Filter.Lift import Mathlib.Order.Filter.AtTopBot #align_import order.filter.small_sets from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" open Filter open Filter Set variable {α β : Type*} {ι : Sort*} namespace Filter variable {l l' la : Filter α} {lb : Filter β} def smallSets (l : Filter α) : Filter (Set α) := l.lift' powerset #align filter.small_sets Filter.smallSets theorem smallSets_eq_generate {f : Filter α} : f.smallSets = generate (powerset '' f.sets) := by simp_rw [generate_eq_biInf, smallSets, iInf_image] rfl #align filter.small_sets_eq_generate Filter.smallSets_eq_generate -- TODO: get more properties from the adjunction? -- TODO: is there a general way to get a lower adjoint for the lift of an upper adjoint? theorem bind_smallSets_gc : GaloisConnection (fun L : Filter (Set α) ↦ L.bind principal) smallSets := by intro L l simp_rw [smallSets_eq_generate, le_generate_iff, image_subset_iff] rfl protected theorem HasBasis.smallSets {p : ι → Prop} {s : ι → Set α} (h : HasBasis l p s) : HasBasis l.smallSets p fun i => 𝒫 s i := h.lift' monotone_powerset #align filter.has_basis.small_sets Filter.HasBasis.smallSets theorem hasBasis_smallSets (l : Filter α) : HasBasis l.smallSets (fun t : Set α => t ∈ l) powerset := l.basis_sets.smallSets #align filter.has_basis_small_sets Filter.hasBasis_smallSets theorem tendsto_smallSets_iff {f : α → Set β} : Tendsto f la lb.smallSets ↔ ∀ t ∈ lb, ∀ᶠ x in la, f x ⊆ t := (hasBasis_smallSets lb).tendsto_right_iff #align filter.tendsto_small_sets_iff Filter.tendsto_smallSets_iff theorem eventually_smallSets {p : Set α → Prop} : (∀ᶠ s in l.smallSets, p s) ↔ ∃ s ∈ l, ∀ t, t ⊆ s → p t := eventually_lift'_iff monotone_powerset #align filter.eventually_small_sets Filter.eventually_smallSets theorem eventually_smallSets' {p : Set α → Prop} (hp : ∀ ⦃s t⦄, s ⊆ t → p t → p s) : (∀ᶠ s in l.smallSets, p s) ↔ ∃ s ∈ l, p s := eventually_smallSets.trans <| exists_congr fun s => Iff.rfl.and ⟨fun H => H s Subset.rfl, fun hs _t ht => hp ht hs⟩ #align filter.eventually_small_sets' Filter.eventually_smallSets' theorem frequently_smallSets {p : Set α → Prop} : (∃ᶠ s in l.smallSets, p s) ↔ ∀ t ∈ l, ∃ s, s ⊆ t ∧ p s := l.hasBasis_smallSets.frequently_iff #align filter.frequently_small_sets Filter.frequently_smallSets theorem frequently_smallSets_mem (l : Filter α) : ∃ᶠ s in l.smallSets, s ∈ l := frequently_smallSets.2 fun t ht => ⟨t, Subset.rfl, ht⟩ #align filter.frequently_small_sets_mem Filter.frequently_smallSets_mem @[simp] lemma tendsto_image_smallSets {f : α → β} : Tendsto (f '' ·) la.smallSets lb.smallSets ↔ Tendsto f la lb := by rw [tendsto_smallSets_iff] refine forall₂_congr fun u hu ↦ ?_ rw [eventually_smallSets' fun s t hst ht ↦ (image_subset _ hst).trans ht] simp only [image_subset_iff, exists_mem_subset_iff, mem_map] alias ⟨_, Tendsto.image_smallSets⟩ := tendsto_image_smallSets theorem HasAntitoneBasis.tendsto_smallSets {ι} [Preorder ι] {s : ι → Set α} (hl : l.HasAntitoneBasis s) : Tendsto s atTop l.smallSets := tendsto_smallSets_iff.2 fun _t ht => hl.eventually_subset ht #align filter.has_antitone_basis.tendsto_small_sets Filter.HasAntitoneBasis.tendsto_smallSets @[mono] theorem monotone_smallSets : Monotone (@smallSets α) := monotone_lift' monotone_id monotone_const #align filter.monotone_small_sets Filter.monotone_smallSets @[simp] theorem smallSets_bot : (⊥ : Filter α).smallSets = pure ∅ := by rw [smallSets, lift'_bot, powerset_empty, principal_singleton] exact monotone_powerset #align filter.small_sets_bot Filter.smallSets_bot @[simp]
Mathlib/Order/Filter/SmallSets.lean
116
117
theorem smallSets_top : (⊤ : Filter α).smallSets = ⊤ := by
rw [smallSets, lift'_top, powerset_univ, principal_univ]
1
2.718282
0
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import Mathlib.Order.Filter.Lift import Mathlib.Order.Filter.AtTopBot #align_import order.filter.small_sets from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" open Filter open Filter Set variable {α β : Type*} {ι : Sort*} namespace Filter variable {l l' la : Filter α} {lb : Filter β} def smallSets (l : Filter α) : Filter (Set α) := l.lift' powerset #align filter.small_sets Filter.smallSets theorem smallSets_eq_generate {f : Filter α} : f.smallSets = generate (powerset '' f.sets) := by simp_rw [generate_eq_biInf, smallSets, iInf_image] rfl #align filter.small_sets_eq_generate Filter.smallSets_eq_generate -- TODO: get more properties from the adjunction? -- TODO: is there a general way to get a lower adjoint for the lift of an upper adjoint? theorem bind_smallSets_gc : GaloisConnection (fun L : Filter (Set α) ↦ L.bind principal) smallSets := by intro L l simp_rw [smallSets_eq_generate, le_generate_iff, image_subset_iff] rfl protected theorem HasBasis.smallSets {p : ι → Prop} {s : ι → Set α} (h : HasBasis l p s) : HasBasis l.smallSets p fun i => 𝒫 s i := h.lift' monotone_powerset #align filter.has_basis.small_sets Filter.HasBasis.smallSets theorem hasBasis_smallSets (l : Filter α) : HasBasis l.smallSets (fun t : Set α => t ∈ l) powerset := l.basis_sets.smallSets #align filter.has_basis_small_sets Filter.hasBasis_smallSets theorem tendsto_smallSets_iff {f : α → Set β} : Tendsto f la lb.smallSets ↔ ∀ t ∈ lb, ∀ᶠ x in la, f x ⊆ t := (hasBasis_smallSets lb).tendsto_right_iff #align filter.tendsto_small_sets_iff Filter.tendsto_smallSets_iff theorem eventually_smallSets {p : Set α → Prop} : (∀ᶠ s in l.smallSets, p s) ↔ ∃ s ∈ l, ∀ t, t ⊆ s → p t := eventually_lift'_iff monotone_powerset #align filter.eventually_small_sets Filter.eventually_smallSets theorem eventually_smallSets' {p : Set α → Prop} (hp : ∀ ⦃s t⦄, s ⊆ t → p t → p s) : (∀ᶠ s in l.smallSets, p s) ↔ ∃ s ∈ l, p s := eventually_smallSets.trans <| exists_congr fun s => Iff.rfl.and ⟨fun H => H s Subset.rfl, fun hs _t ht => hp ht hs⟩ #align filter.eventually_small_sets' Filter.eventually_smallSets' theorem frequently_smallSets {p : Set α → Prop} : (∃ᶠ s in l.smallSets, p s) ↔ ∀ t ∈ l, ∃ s, s ⊆ t ∧ p s := l.hasBasis_smallSets.frequently_iff #align filter.frequently_small_sets Filter.frequently_smallSets theorem frequently_smallSets_mem (l : Filter α) : ∃ᶠ s in l.smallSets, s ∈ l := frequently_smallSets.2 fun t ht => ⟨t, Subset.rfl, ht⟩ #align filter.frequently_small_sets_mem Filter.frequently_smallSets_mem @[simp] lemma tendsto_image_smallSets {f : α → β} : Tendsto (f '' ·) la.smallSets lb.smallSets ↔ Tendsto f la lb := by rw [tendsto_smallSets_iff] refine forall₂_congr fun u hu ↦ ?_ rw [eventually_smallSets' fun s t hst ht ↦ (image_subset _ hst).trans ht] simp only [image_subset_iff, exists_mem_subset_iff, mem_map] alias ⟨_, Tendsto.image_smallSets⟩ := tendsto_image_smallSets theorem HasAntitoneBasis.tendsto_smallSets {ι} [Preorder ι] {s : ι → Set α} (hl : l.HasAntitoneBasis s) : Tendsto s atTop l.smallSets := tendsto_smallSets_iff.2 fun _t ht => hl.eventually_subset ht #align filter.has_antitone_basis.tendsto_small_sets Filter.HasAntitoneBasis.tendsto_smallSets @[mono] theorem monotone_smallSets : Monotone (@smallSets α) := monotone_lift' monotone_id monotone_const #align filter.monotone_small_sets Filter.monotone_smallSets @[simp] theorem smallSets_bot : (⊥ : Filter α).smallSets = pure ∅ := by rw [smallSets, lift'_bot, powerset_empty, principal_singleton] exact monotone_powerset #align filter.small_sets_bot Filter.smallSets_bot @[simp] theorem smallSets_top : (⊤ : Filter α).smallSets = ⊤ := by rw [smallSets, lift'_top, powerset_univ, principal_univ] #align filter.small_sets_top Filter.smallSets_top @[simp] theorem smallSets_principal (s : Set α) : (𝓟 s).smallSets = 𝓟 (𝒫 s) := lift'_principal monotone_powerset #align filter.small_sets_principal Filter.smallSets_principal
Mathlib/Order/Filter/SmallSets.lean
125
128
theorem smallSets_comap_eq_comap_image (l : Filter β) (f : α → β) : (comap f l).smallSets = comap (image f) l.smallSets := by
refine (gc_map_comap _).u_comm_of_l_comm (gc_map_comap _) bind_smallSets_gc bind_smallSets_gc ?_ simp [Function.comp, map_bind, bind_map]
2
7.389056
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698
import Mathlib.AlgebraicTopology.DoldKan.FunctorN #align_import algebraic_topology.dold_kan.normalized from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504" open CategoryTheory CategoryTheory.Category CategoryTheory.Limits CategoryTheory.Subobject CategoryTheory.Idempotents DoldKan noncomputable section namespace AlgebraicTopology namespace DoldKan universe v variable {A : Type*} [Category A] [Abelian A] {X : SimplicialObject A} theorem HigherFacesVanish.inclusionOfMooreComplexMap (n : ℕ) : HigherFacesVanish (n + 1) ((inclusionOfMooreComplexMap X).f (n + 1)) := fun j _ => by dsimp [AlgebraicTopology.inclusionOfMooreComplexMap, NormalizedMooreComplex.objX] rw [← factorThru_arrow _ _ (finset_inf_arrow_factors Finset.univ _ j (by simp only [Finset.mem_univ])), assoc, kernelSubobject_arrow_comp, comp_zero] set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.higher_faces_vanish.inclusion_of_Moore_complex_map AlgebraicTopology.DoldKan.HigherFacesVanish.inclusionOfMooreComplexMap
Mathlib/AlgebraicTopology/DoldKan/Normalized.lean
52
59
theorem factors_normalizedMooreComplex_PInfty (n : ℕ) : Subobject.Factors (NormalizedMooreComplex.objX X n) (PInfty.f n) := by
rcases n with _|n · apply top_factors · rw [PInfty_f, NormalizedMooreComplex.objX, finset_inf_factors] intro i _ apply kernelSubobject_factors exact (HigherFacesVanish.of_P (n + 1) n) i le_add_self
6
403.428793
2
0.8
5
699
import Mathlib.AlgebraicTopology.DoldKan.FunctorN #align_import algebraic_topology.dold_kan.normalized from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504" open CategoryTheory CategoryTheory.Category CategoryTheory.Limits CategoryTheory.Subobject CategoryTheory.Idempotents DoldKan noncomputable section namespace AlgebraicTopology namespace DoldKan universe v variable {A : Type*} [Category A] [Abelian A] {X : SimplicialObject A} theorem HigherFacesVanish.inclusionOfMooreComplexMap (n : ℕ) : HigherFacesVanish (n + 1) ((inclusionOfMooreComplexMap X).f (n + 1)) := fun j _ => by dsimp [AlgebraicTopology.inclusionOfMooreComplexMap, NormalizedMooreComplex.objX] rw [← factorThru_arrow _ _ (finset_inf_arrow_factors Finset.univ _ j (by simp only [Finset.mem_univ])), assoc, kernelSubobject_arrow_comp, comp_zero] set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.higher_faces_vanish.inclusion_of_Moore_complex_map AlgebraicTopology.DoldKan.HigherFacesVanish.inclusionOfMooreComplexMap theorem factors_normalizedMooreComplex_PInfty (n : ℕ) : Subobject.Factors (NormalizedMooreComplex.objX X n) (PInfty.f n) := by rcases n with _|n · apply top_factors · rw [PInfty_f, NormalizedMooreComplex.objX, finset_inf_factors] intro i _ apply kernelSubobject_factors exact (HigherFacesVanish.of_P (n + 1) n) i le_add_self set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.factors_normalized_Moore_complex_P_infty AlgebraicTopology.DoldKan.factors_normalizedMooreComplex_PInfty @[simps!] def PInftyToNormalizedMooreComplex (X : SimplicialObject A) : K[X] ⟶ N[X] := ChainComplex.ofHom _ _ _ _ _ _ (fun n => factorThru _ _ (factors_normalizedMooreComplex_PInfty n)) fun n => by rw [← cancel_mono (NormalizedMooreComplex.objX X n).arrow, assoc, assoc, factorThru_arrow, ← inclusionOfMooreComplexMap_f, ← normalizedMooreComplex_objD, ← (inclusionOfMooreComplexMap X).comm (n + 1) n, inclusionOfMooreComplexMap_f, factorThru_arrow_assoc, ← alternatingFaceMapComplex_obj_d] exact PInfty.comm (n + 1) n set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_to_normalized_Moore_complex AlgebraicTopology.DoldKan.PInftyToNormalizedMooreComplex @[reassoc (attr := simp)]
Mathlib/AlgebraicTopology/DoldKan/Normalized.lean
77
78
theorem PInftyToNormalizedMooreComplex_comp_inclusionOfMooreComplexMap (X : SimplicialObject A) : PInftyToNormalizedMooreComplex X ≫ inclusionOfMooreComplexMap X = PInfty := by
aesop_cat
1
2.718282
0
0.8
5
699
import Mathlib.AlgebraicTopology.DoldKan.FunctorN #align_import algebraic_topology.dold_kan.normalized from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504" open CategoryTheory CategoryTheory.Category CategoryTheory.Limits CategoryTheory.Subobject CategoryTheory.Idempotents DoldKan noncomputable section namespace AlgebraicTopology namespace DoldKan universe v variable {A : Type*} [Category A] [Abelian A] {X : SimplicialObject A} theorem HigherFacesVanish.inclusionOfMooreComplexMap (n : ℕ) : HigherFacesVanish (n + 1) ((inclusionOfMooreComplexMap X).f (n + 1)) := fun j _ => by dsimp [AlgebraicTopology.inclusionOfMooreComplexMap, NormalizedMooreComplex.objX] rw [← factorThru_arrow _ _ (finset_inf_arrow_factors Finset.univ _ j (by simp only [Finset.mem_univ])), assoc, kernelSubobject_arrow_comp, comp_zero] set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.higher_faces_vanish.inclusion_of_Moore_complex_map AlgebraicTopology.DoldKan.HigherFacesVanish.inclusionOfMooreComplexMap theorem factors_normalizedMooreComplex_PInfty (n : ℕ) : Subobject.Factors (NormalizedMooreComplex.objX X n) (PInfty.f n) := by rcases n with _|n · apply top_factors · rw [PInfty_f, NormalizedMooreComplex.objX, finset_inf_factors] intro i _ apply kernelSubobject_factors exact (HigherFacesVanish.of_P (n + 1) n) i le_add_self set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.factors_normalized_Moore_complex_P_infty AlgebraicTopology.DoldKan.factors_normalizedMooreComplex_PInfty @[simps!] def PInftyToNormalizedMooreComplex (X : SimplicialObject A) : K[X] ⟶ N[X] := ChainComplex.ofHom _ _ _ _ _ _ (fun n => factorThru _ _ (factors_normalizedMooreComplex_PInfty n)) fun n => by rw [← cancel_mono (NormalizedMooreComplex.objX X n).arrow, assoc, assoc, factorThru_arrow, ← inclusionOfMooreComplexMap_f, ← normalizedMooreComplex_objD, ← (inclusionOfMooreComplexMap X).comm (n + 1) n, inclusionOfMooreComplexMap_f, factorThru_arrow_assoc, ← alternatingFaceMapComplex_obj_d] exact PInfty.comm (n + 1) n set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_to_normalized_Moore_complex AlgebraicTopology.DoldKan.PInftyToNormalizedMooreComplex @[reassoc (attr := simp)] theorem PInftyToNormalizedMooreComplex_comp_inclusionOfMooreComplexMap (X : SimplicialObject A) : PInftyToNormalizedMooreComplex X ≫ inclusionOfMooreComplexMap X = PInfty := by aesop_cat set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_to_normalized_Moore_complex_comp_inclusion_of_Moore_complex_map AlgebraicTopology.DoldKan.PInftyToNormalizedMooreComplex_comp_inclusionOfMooreComplexMap @[reassoc (attr := simp)]
Mathlib/AlgebraicTopology/DoldKan/Normalized.lean
83
86
theorem PInftyToNormalizedMooreComplex_naturality {X Y : SimplicialObject A} (f : X ⟶ Y) : AlternatingFaceMapComplex.map f ≫ PInftyToNormalizedMooreComplex Y = PInftyToNormalizedMooreComplex X ≫ NormalizedMooreComplex.map f := by
aesop_cat
1
2.718282
0
0.8
5
699
import Mathlib.AlgebraicTopology.DoldKan.FunctorN #align_import algebraic_topology.dold_kan.normalized from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504" open CategoryTheory CategoryTheory.Category CategoryTheory.Limits CategoryTheory.Subobject CategoryTheory.Idempotents DoldKan noncomputable section namespace AlgebraicTopology namespace DoldKan universe v variable {A : Type*} [Category A] [Abelian A] {X : SimplicialObject A} theorem HigherFacesVanish.inclusionOfMooreComplexMap (n : ℕ) : HigherFacesVanish (n + 1) ((inclusionOfMooreComplexMap X).f (n + 1)) := fun j _ => by dsimp [AlgebraicTopology.inclusionOfMooreComplexMap, NormalizedMooreComplex.objX] rw [← factorThru_arrow _ _ (finset_inf_arrow_factors Finset.univ _ j (by simp only [Finset.mem_univ])), assoc, kernelSubobject_arrow_comp, comp_zero] set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.higher_faces_vanish.inclusion_of_Moore_complex_map AlgebraicTopology.DoldKan.HigherFacesVanish.inclusionOfMooreComplexMap theorem factors_normalizedMooreComplex_PInfty (n : ℕ) : Subobject.Factors (NormalizedMooreComplex.objX X n) (PInfty.f n) := by rcases n with _|n · apply top_factors · rw [PInfty_f, NormalizedMooreComplex.objX, finset_inf_factors] intro i _ apply kernelSubobject_factors exact (HigherFacesVanish.of_P (n + 1) n) i le_add_self set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.factors_normalized_Moore_complex_P_infty AlgebraicTopology.DoldKan.factors_normalizedMooreComplex_PInfty @[simps!] def PInftyToNormalizedMooreComplex (X : SimplicialObject A) : K[X] ⟶ N[X] := ChainComplex.ofHom _ _ _ _ _ _ (fun n => factorThru _ _ (factors_normalizedMooreComplex_PInfty n)) fun n => by rw [← cancel_mono (NormalizedMooreComplex.objX X n).arrow, assoc, assoc, factorThru_arrow, ← inclusionOfMooreComplexMap_f, ← normalizedMooreComplex_objD, ← (inclusionOfMooreComplexMap X).comm (n + 1) n, inclusionOfMooreComplexMap_f, factorThru_arrow_assoc, ← alternatingFaceMapComplex_obj_d] exact PInfty.comm (n + 1) n set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_to_normalized_Moore_complex AlgebraicTopology.DoldKan.PInftyToNormalizedMooreComplex @[reassoc (attr := simp)] theorem PInftyToNormalizedMooreComplex_comp_inclusionOfMooreComplexMap (X : SimplicialObject A) : PInftyToNormalizedMooreComplex X ≫ inclusionOfMooreComplexMap X = PInfty := by aesop_cat set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_to_normalized_Moore_complex_comp_inclusion_of_Moore_complex_map AlgebraicTopology.DoldKan.PInftyToNormalizedMooreComplex_comp_inclusionOfMooreComplexMap @[reassoc (attr := simp)] theorem PInftyToNormalizedMooreComplex_naturality {X Y : SimplicialObject A} (f : X ⟶ Y) : AlternatingFaceMapComplex.map f ≫ PInftyToNormalizedMooreComplex Y = PInftyToNormalizedMooreComplex X ≫ NormalizedMooreComplex.map f := by aesop_cat set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_to_normalized_Moore_complex_naturality AlgebraicTopology.DoldKan.PInftyToNormalizedMooreComplex_naturality @[reassoc (attr := simp)]
Mathlib/AlgebraicTopology/DoldKan/Normalized.lean
91
92
theorem PInfty_comp_PInftyToNormalizedMooreComplex (X : SimplicialObject A) : PInfty ≫ PInftyToNormalizedMooreComplex X = PInftyToNormalizedMooreComplex X := by
aesop_cat
1
2.718282
0
0.8
5
699
import Mathlib.AlgebraicTopology.DoldKan.FunctorN #align_import algebraic_topology.dold_kan.normalized from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504" open CategoryTheory CategoryTheory.Category CategoryTheory.Limits CategoryTheory.Subobject CategoryTheory.Idempotents DoldKan noncomputable section namespace AlgebraicTopology namespace DoldKan universe v variable {A : Type*} [Category A] [Abelian A] {X : SimplicialObject A} theorem HigherFacesVanish.inclusionOfMooreComplexMap (n : ℕ) : HigherFacesVanish (n + 1) ((inclusionOfMooreComplexMap X).f (n + 1)) := fun j _ => by dsimp [AlgebraicTopology.inclusionOfMooreComplexMap, NormalizedMooreComplex.objX] rw [← factorThru_arrow _ _ (finset_inf_arrow_factors Finset.univ _ j (by simp only [Finset.mem_univ])), assoc, kernelSubobject_arrow_comp, comp_zero] set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.higher_faces_vanish.inclusion_of_Moore_complex_map AlgebraicTopology.DoldKan.HigherFacesVanish.inclusionOfMooreComplexMap theorem factors_normalizedMooreComplex_PInfty (n : ℕ) : Subobject.Factors (NormalizedMooreComplex.objX X n) (PInfty.f n) := by rcases n with _|n · apply top_factors · rw [PInfty_f, NormalizedMooreComplex.objX, finset_inf_factors] intro i _ apply kernelSubobject_factors exact (HigherFacesVanish.of_P (n + 1) n) i le_add_self set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.factors_normalized_Moore_complex_P_infty AlgebraicTopology.DoldKan.factors_normalizedMooreComplex_PInfty @[simps!] def PInftyToNormalizedMooreComplex (X : SimplicialObject A) : K[X] ⟶ N[X] := ChainComplex.ofHom _ _ _ _ _ _ (fun n => factorThru _ _ (factors_normalizedMooreComplex_PInfty n)) fun n => by rw [← cancel_mono (NormalizedMooreComplex.objX X n).arrow, assoc, assoc, factorThru_arrow, ← inclusionOfMooreComplexMap_f, ← normalizedMooreComplex_objD, ← (inclusionOfMooreComplexMap X).comm (n + 1) n, inclusionOfMooreComplexMap_f, factorThru_arrow_assoc, ← alternatingFaceMapComplex_obj_d] exact PInfty.comm (n + 1) n set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_to_normalized_Moore_complex AlgebraicTopology.DoldKan.PInftyToNormalizedMooreComplex @[reassoc (attr := simp)] theorem PInftyToNormalizedMooreComplex_comp_inclusionOfMooreComplexMap (X : SimplicialObject A) : PInftyToNormalizedMooreComplex X ≫ inclusionOfMooreComplexMap X = PInfty := by aesop_cat set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_to_normalized_Moore_complex_comp_inclusion_of_Moore_complex_map AlgebraicTopology.DoldKan.PInftyToNormalizedMooreComplex_comp_inclusionOfMooreComplexMap @[reassoc (attr := simp)] theorem PInftyToNormalizedMooreComplex_naturality {X Y : SimplicialObject A} (f : X ⟶ Y) : AlternatingFaceMapComplex.map f ≫ PInftyToNormalizedMooreComplex Y = PInftyToNormalizedMooreComplex X ≫ NormalizedMooreComplex.map f := by aesop_cat set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_to_normalized_Moore_complex_naturality AlgebraicTopology.DoldKan.PInftyToNormalizedMooreComplex_naturality @[reassoc (attr := simp)] theorem PInfty_comp_PInftyToNormalizedMooreComplex (X : SimplicialObject A) : PInfty ≫ PInftyToNormalizedMooreComplex X = PInftyToNormalizedMooreComplex X := by aesop_cat set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_comp_P_infty_to_normalized_Moore_complex AlgebraicTopology.DoldKan.PInfty_comp_PInftyToNormalizedMooreComplex @[reassoc (attr := simp)]
Mathlib/AlgebraicTopology/DoldKan/Normalized.lean
97
102
theorem inclusionOfMooreComplexMap_comp_PInfty (X : SimplicialObject A) : inclusionOfMooreComplexMap X ≫ PInfty = inclusionOfMooreComplexMap X := by
ext (_|n) · dsimp simp only [comp_id] · exact (HigherFacesVanish.inclusionOfMooreComplexMap n).comp_P_eq_self
4
54.59815
2
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699
import Mathlib.Data.Nat.Factorization.Basic import Mathlib.Data.SetLike.Fintype import Mathlib.GroupTheory.GroupAction.ConjAct import Mathlib.GroupTheory.PGroup import Mathlib.GroupTheory.NoncommPiCoprod import Mathlib.Order.Atoms.Finite import Mathlib.Data.Set.Lattice #align_import group_theory.sylow from "leanprover-community/mathlib"@"4be589053caf347b899a494da75410deb55fb3ef" open Fintype MulAction Subgroup section InfiniteSylow variable (p : ℕ) (G : Type*) [Group G] structure Sylow extends Subgroup G where isPGroup' : IsPGroup p toSubgroup is_maximal' : ∀ {Q : Subgroup G}, IsPGroup p Q → toSubgroup ≤ Q → Q = toSubgroup #align sylow Sylow variable {p} {G} namespace Sylow attribute [coe] Sylow.toSubgroup -- Porting note: Changed to `CoeOut` instance : CoeOut (Sylow p G) (Subgroup G) := ⟨Sylow.toSubgroup⟩ -- Porting note: syntactic tautology -- @[simp] -- theorem toSubgroup_eq_coe {P : Sylow p G} : P.toSubgroup = ↑P := -- rfl #noalign sylow.to_subgroup_eq_coe @[ext]
Mathlib/GroupTheory/Sylow.lean
76
76
theorem ext {P Q : Sylow p G} (h : (P : Subgroup G) = Q) : P = Q := by
cases P; cases Q; congr
1
2.718282
0
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import Mathlib.Data.Nat.Factorization.Basic import Mathlib.Data.SetLike.Fintype import Mathlib.GroupTheory.GroupAction.ConjAct import Mathlib.GroupTheory.PGroup import Mathlib.GroupTheory.NoncommPiCoprod import Mathlib.Order.Atoms.Finite import Mathlib.Data.Set.Lattice #align_import group_theory.sylow from "leanprover-community/mathlib"@"4be589053caf347b899a494da75410deb55fb3ef" open Fintype MulAction Subgroup section InfiniteSylow variable (p : ℕ) (G : Type*) [Group G] structure Sylow extends Subgroup G where isPGroup' : IsPGroup p toSubgroup is_maximal' : ∀ {Q : Subgroup G}, IsPGroup p Q → toSubgroup ≤ Q → Q = toSubgroup #align sylow Sylow variable {p} {G} namespace Sylow attribute [coe] Sylow.toSubgroup -- Porting note: Changed to `CoeOut` instance : CoeOut (Sylow p G) (Subgroup G) := ⟨Sylow.toSubgroup⟩ -- Porting note: syntactic tautology -- @[simp] -- theorem toSubgroup_eq_coe {P : Sylow p G} : P.toSubgroup = ↑P := -- rfl #noalign sylow.to_subgroup_eq_coe @[ext] theorem ext {P Q : Sylow p G} (h : (P : Subgroup G) = Q) : P = Q := by cases P; cases Q; congr #align sylow.ext Sylow.ext theorem ext_iff {P Q : Sylow p G} : P = Q ↔ (P : Subgroup G) = Q := ⟨congr_arg _, ext⟩ #align sylow.ext_iff Sylow.ext_iff instance : SetLike (Sylow p G) G where coe := (↑) coe_injective' _ _ h := ext (SetLike.coe_injective h) instance : SubgroupClass (Sylow p G) G where mul_mem := Subgroup.mul_mem _ one_mem _ := Subgroup.one_mem _ inv_mem := Subgroup.inv_mem _ variable (P : Sylow p G) instance mulActionLeft {α : Type*} [MulAction G α] : MulAction P α := inferInstanceAs (MulAction (P : Subgroup G) α) #align sylow.mul_action_left Sylow.mulActionLeft variable {K : Type*} [Group K] (ϕ : K →* G) {N : Subgroup G} def comapOfKerIsPGroup (hϕ : IsPGroup p ϕ.ker) (h : ↑P ≤ ϕ.range) : Sylow p K := { P.1.comap ϕ with isPGroup' := P.2.comap_of_ker_isPGroup ϕ hϕ is_maximal' := fun {Q} hQ hle => by show Q = P.1.comap ϕ rw [← P.3 (hQ.map ϕ) (le_trans (ge_of_eq (map_comap_eq_self h)) (map_mono hle))] exact (comap_map_eq_self ((P.1.ker_le_comap ϕ).trans hle)).symm } #align sylow.comap_of_ker_is_p_group Sylow.comapOfKerIsPGroup @[simp] theorem coe_comapOfKerIsPGroup (hϕ : IsPGroup p ϕ.ker) (h : ↑P ≤ ϕ.range) : (P.comapOfKerIsPGroup ϕ hϕ h : Subgroup K) = Subgroup.comap ϕ ↑P := rfl #align sylow.coe_comap_of_ker_is_p_group Sylow.coe_comapOfKerIsPGroup def comapOfInjective (hϕ : Function.Injective ϕ) (h : ↑P ≤ ϕ.range) : Sylow p K := P.comapOfKerIsPGroup ϕ (IsPGroup.ker_isPGroup_of_injective hϕ) h #align sylow.comap_of_injective Sylow.comapOfInjective @[simp] theorem coe_comapOfInjective (hϕ : Function.Injective ϕ) (h : ↑P ≤ ϕ.range) : ↑(P.comapOfInjective ϕ hϕ h) = Subgroup.comap ϕ ↑P := rfl #align sylow.coe_comap_of_injective Sylow.coe_comapOfInjective protected def subtype (h : ↑P ≤ N) : Sylow p N := P.comapOfInjective N.subtype Subtype.coe_injective (by rwa [subtype_range]) #align sylow.subtype Sylow.subtype @[simp] theorem coe_subtype (h : ↑P ≤ N) : ↑(P.subtype h) = subgroupOf (↑P) N := rfl #align sylow.coe_subtype Sylow.coe_subtype
Mathlib/GroupTheory/Sylow.lean
138
141
theorem subtype_injective {P Q : Sylow p G} {hP : ↑P ≤ N} {hQ : ↑Q ≤ N} (h : P.subtype hP = Q.subtype hQ) : P = Q := by
rw [SetLike.ext_iff] at h ⊢ exact fun g => ⟨fun hg => (h ⟨g, hP hg⟩).mp hg, fun hg => (h ⟨g, hQ hg⟩).mpr hg⟩
2
7.389056
1
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import Mathlib.Data.Nat.Factorization.Basic import Mathlib.Data.SetLike.Fintype import Mathlib.GroupTheory.GroupAction.ConjAct import Mathlib.GroupTheory.PGroup import Mathlib.GroupTheory.NoncommPiCoprod import Mathlib.Order.Atoms.Finite import Mathlib.Data.Set.Lattice #align_import group_theory.sylow from "leanprover-community/mathlib"@"4be589053caf347b899a494da75410deb55fb3ef" open Fintype MulAction Subgroup section InfiniteSylow variable (p : ℕ) (G : Type*) [Group G] structure Sylow extends Subgroup G where isPGroup' : IsPGroup p toSubgroup is_maximal' : ∀ {Q : Subgroup G}, IsPGroup p Q → toSubgroup ≤ Q → Q = toSubgroup #align sylow Sylow variable {p} {G} open Equiv Equiv.Perm Finset Function List QuotientGroup universe u v w variable {G : Type u} {α : Type v} {β : Type w} [Group G] attribute [local instance 10] Subtype.fintype setFintype Classical.propDecidable
Mathlib/GroupTheory/Sylow.lean
493
495
theorem QuotientGroup.card_preimage_mk [Fintype G] (s : Subgroup G) (t : Set (G ⧸ s)) : Fintype.card (QuotientGroup.mk ⁻¹' t) = Fintype.card s * Fintype.card t := by
rw [← Fintype.card_prod, Fintype.card_congr (preimageMkEquivSubgroupProdSet _ _)]
1
2.718282
0
0.8
5
700
import Mathlib.Data.Nat.Factorization.Basic import Mathlib.Data.SetLike.Fintype import Mathlib.GroupTheory.GroupAction.ConjAct import Mathlib.GroupTheory.PGroup import Mathlib.GroupTheory.NoncommPiCoprod import Mathlib.Order.Atoms.Finite import Mathlib.Data.Set.Lattice #align_import group_theory.sylow from "leanprover-community/mathlib"@"4be589053caf347b899a494da75410deb55fb3ef" open Fintype MulAction Subgroup section InfiniteSylow variable (p : ℕ) (G : Type*) [Group G] structure Sylow extends Subgroup G where isPGroup' : IsPGroup p toSubgroup is_maximal' : ∀ {Q : Subgroup G}, IsPGroup p Q → toSubgroup ≤ Q → Q = toSubgroup #align sylow Sylow variable {p} {G} open Equiv Equiv.Perm Finset Function List QuotientGroup universe u v w variable {G : Type u} {α : Type v} {β : Type w} [Group G] attribute [local instance 10] Subtype.fintype setFintype Classical.propDecidable theorem QuotientGroup.card_preimage_mk [Fintype G] (s : Subgroup G) (t : Set (G ⧸ s)) : Fintype.card (QuotientGroup.mk ⁻¹' t) = Fintype.card s * Fintype.card t := by rw [← Fintype.card_prod, Fintype.card_congr (preimageMkEquivSubgroupProdSet _ _)] #align quotient_group.card_preimage_mk QuotientGroup.card_preimage_mk namespace Sylow theorem mem_fixedPoints_mul_left_cosets_iff_mem_normalizer {H : Subgroup G} [Finite (H : Set G)] {x : G} : (x : G ⧸ H) ∈ MulAction.fixedPoints H (G ⧸ H) ↔ x ∈ normalizer H := ⟨fun hx => have ha : ∀ {y : G ⧸ H}, y ∈ orbit H (x : G ⧸ H) → y = x := mem_fixedPoints'.1 hx _ (inv_mem_iff (G := G)).1 (mem_normalizer_fintype fun n (hn : n ∈ H) => have : (n⁻¹ * x)⁻¹ * x ∈ H := QuotientGroup.eq.1 (ha ⟨⟨n⁻¹, inv_mem hn⟩, rfl⟩) show _ ∈ H by rw [mul_inv_rev, inv_inv] at this convert this rw [inv_inv]), fun hx : ∀ n : G, n ∈ H ↔ x * n * x⁻¹ ∈ H => mem_fixedPoints'.2 fun y => Quotient.inductionOn' y fun y hy => QuotientGroup.eq.2 (let ⟨⟨b, hb₁⟩, hb₂⟩ := hy have hb₂ : (b * x)⁻¹ * y ∈ H := QuotientGroup.eq.1 hb₂ (inv_mem_iff (G := G)).1 <| (hx _).2 <| (mul_mem_cancel_left (inv_mem hb₁)).1 <| by rw [hx] at hb₂; simpa [mul_inv_rev, mul_assoc] using hb₂)⟩ #align sylow.mem_fixed_points_mul_left_cosets_iff_mem_normalizer Sylow.mem_fixedPoints_mul_left_cosets_iff_mem_normalizer def fixedPointsMulLeftCosetsEquivQuotient (H : Subgroup G) [Finite (H : Set G)] : MulAction.fixedPoints H (G ⧸ H) ≃ normalizer H ⧸ Subgroup.comap ((normalizer H).subtype : normalizer H →* G) H := @subtypeQuotientEquivQuotientSubtype G (normalizer H : Set G) (_) (_) (MulAction.fixedPoints H (G ⧸ H)) (fun a => (@mem_fixedPoints_mul_left_cosets_iff_mem_normalizer _ _ _ ‹_› _).symm) (by intros unfold_projs rw [leftRel_apply (α := normalizer H), leftRel_apply] rfl) #align sylow.fixed_points_mul_left_cosets_equiv_quotient Sylow.fixedPointsMulLeftCosetsEquivQuotient
Mathlib/GroupTheory/Sylow.lean
538
543
theorem card_quotient_normalizer_modEq_card_quotient [Fintype G] {p : ℕ} {n : ℕ} [hp : Fact p.Prime] {H : Subgroup G} (hH : Fintype.card H = p ^ n) : Fintype.card (normalizer H ⧸ Subgroup.comap ((normalizer H).subtype : normalizer H →* G) H) ≡ card (G ⧸ H) [MOD p] := by
rw [← Fintype.card_congr (fixedPointsMulLeftCosetsEquivQuotient H)] exact ((IsPGroup.of_card hH).card_modEq_card_fixedPoints _).symm
2
7.389056
1
0.8
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import Mathlib.Data.Nat.Factorization.Basic import Mathlib.Data.SetLike.Fintype import Mathlib.GroupTheory.GroupAction.ConjAct import Mathlib.GroupTheory.PGroup import Mathlib.GroupTheory.NoncommPiCoprod import Mathlib.Order.Atoms.Finite import Mathlib.Data.Set.Lattice #align_import group_theory.sylow from "leanprover-community/mathlib"@"4be589053caf347b899a494da75410deb55fb3ef" open Fintype MulAction Subgroup section InfiniteSylow variable (p : ℕ) (G : Type*) [Group G] structure Sylow extends Subgroup G where isPGroup' : IsPGroup p toSubgroup is_maximal' : ∀ {Q : Subgroup G}, IsPGroup p Q → toSubgroup ≤ Q → Q = toSubgroup #align sylow Sylow variable {p} {G} open Equiv Equiv.Perm Finset Function List QuotientGroup universe u v w variable {G : Type u} {α : Type v} {β : Type w} [Group G] attribute [local instance 10] Subtype.fintype setFintype Classical.propDecidable theorem QuotientGroup.card_preimage_mk [Fintype G] (s : Subgroup G) (t : Set (G ⧸ s)) : Fintype.card (QuotientGroup.mk ⁻¹' t) = Fintype.card s * Fintype.card t := by rw [← Fintype.card_prod, Fintype.card_congr (preimageMkEquivSubgroupProdSet _ _)] #align quotient_group.card_preimage_mk QuotientGroup.card_preimage_mk namespace Sylow theorem mem_fixedPoints_mul_left_cosets_iff_mem_normalizer {H : Subgroup G} [Finite (H : Set G)] {x : G} : (x : G ⧸ H) ∈ MulAction.fixedPoints H (G ⧸ H) ↔ x ∈ normalizer H := ⟨fun hx => have ha : ∀ {y : G ⧸ H}, y ∈ orbit H (x : G ⧸ H) → y = x := mem_fixedPoints'.1 hx _ (inv_mem_iff (G := G)).1 (mem_normalizer_fintype fun n (hn : n ∈ H) => have : (n⁻¹ * x)⁻¹ * x ∈ H := QuotientGroup.eq.1 (ha ⟨⟨n⁻¹, inv_mem hn⟩, rfl⟩) show _ ∈ H by rw [mul_inv_rev, inv_inv] at this convert this rw [inv_inv]), fun hx : ∀ n : G, n ∈ H ↔ x * n * x⁻¹ ∈ H => mem_fixedPoints'.2 fun y => Quotient.inductionOn' y fun y hy => QuotientGroup.eq.2 (let ⟨⟨b, hb₁⟩, hb₂⟩ := hy have hb₂ : (b * x)⁻¹ * y ∈ H := QuotientGroup.eq.1 hb₂ (inv_mem_iff (G := G)).1 <| (hx _).2 <| (mul_mem_cancel_left (inv_mem hb₁)).1 <| by rw [hx] at hb₂; simpa [mul_inv_rev, mul_assoc] using hb₂)⟩ #align sylow.mem_fixed_points_mul_left_cosets_iff_mem_normalizer Sylow.mem_fixedPoints_mul_left_cosets_iff_mem_normalizer def fixedPointsMulLeftCosetsEquivQuotient (H : Subgroup G) [Finite (H : Set G)] : MulAction.fixedPoints H (G ⧸ H) ≃ normalizer H ⧸ Subgroup.comap ((normalizer H).subtype : normalizer H →* G) H := @subtypeQuotientEquivQuotientSubtype G (normalizer H : Set G) (_) (_) (MulAction.fixedPoints H (G ⧸ H)) (fun a => (@mem_fixedPoints_mul_left_cosets_iff_mem_normalizer _ _ _ ‹_› _).symm) (by intros unfold_projs rw [leftRel_apply (α := normalizer H), leftRel_apply] rfl) #align sylow.fixed_points_mul_left_cosets_equiv_quotient Sylow.fixedPointsMulLeftCosetsEquivQuotient theorem card_quotient_normalizer_modEq_card_quotient [Fintype G] {p : ℕ} {n : ℕ} [hp : Fact p.Prime] {H : Subgroup G} (hH : Fintype.card H = p ^ n) : Fintype.card (normalizer H ⧸ Subgroup.comap ((normalizer H).subtype : normalizer H →* G) H) ≡ card (G ⧸ H) [MOD p] := by rw [← Fintype.card_congr (fixedPointsMulLeftCosetsEquivQuotient H)] exact ((IsPGroup.of_card hH).card_modEq_card_fixedPoints _).symm #align sylow.card_quotient_normalizer_modeq_card_quotient Sylow.card_quotient_normalizer_modEq_card_quotient
Mathlib/GroupTheory/Sylow.lean
548
556
theorem card_normalizer_modEq_card [Fintype G] {p : ℕ} {n : ℕ} [hp : Fact p.Prime] {H : Subgroup G} (hH : Fintype.card H = p ^ n) : card (normalizer H) ≡ card G [MOD p ^ (n + 1)] := by
have : H.subgroupOf (normalizer H) ≃ H := (subgroupOfEquivOfLe le_normalizer).toEquiv simp only [← Nat.card_eq_fintype_card] at hH ⊢ rw [card_eq_card_quotient_mul_card_subgroup H, card_eq_card_quotient_mul_card_subgroup (H.subgroupOf (normalizer H)), Nat.card_congr this, hH, pow_succ'] simp only [Nat.card_eq_fintype_card] at hH ⊢ exact (card_quotient_normalizer_modEq_card_quotient hH).mul_right' _
7
1,096.633158
2
0.8
5
700
import Mathlib.Analysis.Analytic.Composition #align_import analysis.analytic.inverse from "leanprover-community/mathlib"@"284fdd2962e67d2932fa3a79ce19fcf92d38e228" open scoped Classical Topology open Finset Filter namespace FormalMultilinearSeries variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] noncomputable def leftInv (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : FormalMultilinearSeries 𝕜 F E | 0 => 0 | 1 => (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm | n + 2 => -∑ c : { c : Composition (n + 2) // c.length < n + 2 }, (leftInv p i (c : Composition (n + 2)).length).compAlongComposition (p.compContinuousLinearMap i.symm) c #align formal_multilinear_series.left_inv FormalMultilinearSeries.leftInv @[simp]
Mathlib/Analysis/Analytic/Inverse.lean
68
69
theorem leftInv_coeff_zero (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : p.leftInv i 0 = 0 := by
rw [leftInv]
1
2.718282
0
0.8
5
701
import Mathlib.Analysis.Analytic.Composition #align_import analysis.analytic.inverse from "leanprover-community/mathlib"@"284fdd2962e67d2932fa3a79ce19fcf92d38e228" open scoped Classical Topology open Finset Filter namespace FormalMultilinearSeries variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] noncomputable def leftInv (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : FormalMultilinearSeries 𝕜 F E | 0 => 0 | 1 => (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm | n + 2 => -∑ c : { c : Composition (n + 2) // c.length < n + 2 }, (leftInv p i (c : Composition (n + 2)).length).compAlongComposition (p.compContinuousLinearMap i.symm) c #align formal_multilinear_series.left_inv FormalMultilinearSeries.leftInv @[simp] theorem leftInv_coeff_zero (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : p.leftInv i 0 = 0 := by rw [leftInv] #align formal_multilinear_series.left_inv_coeff_zero FormalMultilinearSeries.leftInv_coeff_zero @[simp]
Mathlib/Analysis/Analytic/Inverse.lean
73
74
theorem leftInv_coeff_one (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : p.leftInv i 1 = (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm := by
rw [leftInv]
1
2.718282
0
0.8
5
701
import Mathlib.Analysis.Analytic.Composition #align_import analysis.analytic.inverse from "leanprover-community/mathlib"@"284fdd2962e67d2932fa3a79ce19fcf92d38e228" open scoped Classical Topology open Finset Filter namespace FormalMultilinearSeries variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] noncomputable def leftInv (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : FormalMultilinearSeries 𝕜 F E | 0 => 0 | 1 => (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm | n + 2 => -∑ c : { c : Composition (n + 2) // c.length < n + 2 }, (leftInv p i (c : Composition (n + 2)).length).compAlongComposition (p.compContinuousLinearMap i.symm) c #align formal_multilinear_series.left_inv FormalMultilinearSeries.leftInv @[simp] theorem leftInv_coeff_zero (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : p.leftInv i 0 = 0 := by rw [leftInv] #align formal_multilinear_series.left_inv_coeff_zero FormalMultilinearSeries.leftInv_coeff_zero @[simp] theorem leftInv_coeff_one (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : p.leftInv i 1 = (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm := by rw [leftInv] #align formal_multilinear_series.left_inv_coeff_one FormalMultilinearSeries.leftInv_coeff_one
Mathlib/Analysis/Analytic/Inverse.lean
79
92
theorem leftInv_removeZero (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : p.removeZero.leftInv i = p.leftInv i := by
ext1 n induction' n using Nat.strongRec' with n IH match n with | 0 => simp -- if one replaces `simp` with `refl`, the proof times out in the kernel. | 1 => simp -- TODO: why? | n + 2 => simp only [leftInv, neg_inj] refine Finset.sum_congr rfl fun c cuniv => ?_ rcases c with ⟨c, hc⟩ ext v dsimp simp [IH _ hc]
12
162,754.791419
2
0.8
5
701
import Mathlib.Analysis.Analytic.Composition #align_import analysis.analytic.inverse from "leanprover-community/mathlib"@"284fdd2962e67d2932fa3a79ce19fcf92d38e228" open scoped Classical Topology open Finset Filter namespace FormalMultilinearSeries variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] noncomputable def leftInv (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : FormalMultilinearSeries 𝕜 F E | 0 => 0 | 1 => (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm | n + 2 => -∑ c : { c : Composition (n + 2) // c.length < n + 2 }, (leftInv p i (c : Composition (n + 2)).length).compAlongComposition (p.compContinuousLinearMap i.symm) c #align formal_multilinear_series.left_inv FormalMultilinearSeries.leftInv @[simp] theorem leftInv_coeff_zero (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : p.leftInv i 0 = 0 := by rw [leftInv] #align formal_multilinear_series.left_inv_coeff_zero FormalMultilinearSeries.leftInv_coeff_zero @[simp] theorem leftInv_coeff_one (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : p.leftInv i 1 = (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm := by rw [leftInv] #align formal_multilinear_series.left_inv_coeff_one FormalMultilinearSeries.leftInv_coeff_one theorem leftInv_removeZero (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : p.removeZero.leftInv i = p.leftInv i := by ext1 n induction' n using Nat.strongRec' with n IH match n with | 0 => simp -- if one replaces `simp` with `refl`, the proof times out in the kernel. | 1 => simp -- TODO: why? | n + 2 => simp only [leftInv, neg_inj] refine Finset.sum_congr rfl fun c cuniv => ?_ rcases c with ⟨c, hc⟩ ext v dsimp simp [IH _ hc] #align formal_multilinear_series.left_inv_remove_zero FormalMultilinearSeries.leftInv_removeZero
Mathlib/Analysis/Analytic/Inverse.lean
97
148
theorem leftInv_comp (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) (h : p 1 = (continuousMultilinearCurryFin1 𝕜 E F).symm i) : (leftInv p i).comp p = id 𝕜 E := by
ext (n v) match n with | 0 => simp only [leftInv_coeff_zero, ContinuousMultilinearMap.zero_apply, id_apply_ne_one, Ne, not_false_iff, zero_ne_one, comp_coeff_zero'] | 1 => simp only [leftInv_coeff_one, comp_coeff_one, h, id_apply_one, ContinuousLinearEquiv.coe_apply, ContinuousLinearEquiv.symm_apply_apply, continuousMultilinearCurryFin1_symm_apply] | n + 2 => have A : (Finset.univ : Finset (Composition (n + 2))) = {c | Composition.length c < n + 2}.toFinset ∪ {Composition.ones (n + 2)} := by refine Subset.antisymm (fun c _ => ?_) (subset_univ _) by_cases h : c.length < n + 2 · simp [h, Set.mem_toFinset (s := {c | Composition.length c < n + 2})] · simp [Composition.eq_ones_iff_le_length.2 (not_lt.1 h)] have B : Disjoint ({c | Composition.length c < n + 2} : Set (Composition (n + 2))).toFinset {Composition.ones (n + 2)} := by simp [Set.mem_toFinset (s := {c | Composition.length c < n + 2})] have C : ((p.leftInv i (Composition.ones (n + 2)).length) fun j : Fin (Composition.ones n.succ.succ).length => p 1 fun _ => v ((Fin.castLE (Composition.length_le _)) j)) = p.leftInv i (n + 2) fun j : Fin (n + 2) => p 1 fun _ => v j := by apply FormalMultilinearSeries.congr _ (Composition.ones_length _) fun j hj1 hj2 => ?_ exact FormalMultilinearSeries.congr _ rfl fun k _ _ => by congr have D : (p.leftInv i (n + 2) fun j : Fin (n + 2) => p 1 fun _ => v j) = -∑ c ∈ {c : Composition (n + 2) | c.length < n + 2}.toFinset, (p.leftInv i c.length) (p.applyComposition c v) := by simp only [leftInv, ContinuousMultilinearMap.neg_apply, neg_inj, ContinuousMultilinearMap.sum_apply] convert (sum_toFinset_eq_subtype (fun c : Composition (n + 2) => c.length < n + 2) (fun c : Composition (n + 2) => (ContinuousMultilinearMap.compAlongComposition (p.compContinuousLinearMap (i.symm : F →L[𝕜] E)) c (p.leftInv i c.length)) fun j : Fin (n + 2) => p 1 fun _ : Fin 1 => v j)).symm.trans _ simp only [compContinuousLinearMap_applyComposition, ContinuousMultilinearMap.compAlongComposition_apply] congr ext c congr ext k simp [h, Function.comp] simp [FormalMultilinearSeries.comp, show n + 2 ≠ 1 by omega, A, Finset.sum_union B, applyComposition_ones, C, D, -Set.toFinset_setOf]
50
5,184,705,528,587,073,000,000
2
0.8
5
701
import Mathlib.Analysis.Analytic.Composition #align_import analysis.analytic.inverse from "leanprover-community/mathlib"@"284fdd2962e67d2932fa3a79ce19fcf92d38e228" open scoped Classical Topology open Finset Filter namespace FormalMultilinearSeries variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] noncomputable def leftInv (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : FormalMultilinearSeries 𝕜 F E | 0 => 0 | 1 => (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm | n + 2 => -∑ c : { c : Composition (n + 2) // c.length < n + 2 }, (leftInv p i (c : Composition (n + 2)).length).compAlongComposition (p.compContinuousLinearMap i.symm) c #align formal_multilinear_series.left_inv FormalMultilinearSeries.leftInv @[simp] theorem leftInv_coeff_zero (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : p.leftInv i 0 = 0 := by rw [leftInv] #align formal_multilinear_series.left_inv_coeff_zero FormalMultilinearSeries.leftInv_coeff_zero @[simp] theorem leftInv_coeff_one (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : p.leftInv i 1 = (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm := by rw [leftInv] #align formal_multilinear_series.left_inv_coeff_one FormalMultilinearSeries.leftInv_coeff_one theorem leftInv_removeZero (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : p.removeZero.leftInv i = p.leftInv i := by ext1 n induction' n using Nat.strongRec' with n IH match n with | 0 => simp -- if one replaces `simp` with `refl`, the proof times out in the kernel. | 1 => simp -- TODO: why? | n + 2 => simp only [leftInv, neg_inj] refine Finset.sum_congr rfl fun c cuniv => ?_ rcases c with ⟨c, hc⟩ ext v dsimp simp [IH _ hc] #align formal_multilinear_series.left_inv_remove_zero FormalMultilinearSeries.leftInv_removeZero theorem leftInv_comp (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) (h : p 1 = (continuousMultilinearCurryFin1 𝕜 E F).symm i) : (leftInv p i).comp p = id 𝕜 E := by ext (n v) match n with | 0 => simp only [leftInv_coeff_zero, ContinuousMultilinearMap.zero_apply, id_apply_ne_one, Ne, not_false_iff, zero_ne_one, comp_coeff_zero'] | 1 => simp only [leftInv_coeff_one, comp_coeff_one, h, id_apply_one, ContinuousLinearEquiv.coe_apply, ContinuousLinearEquiv.symm_apply_apply, continuousMultilinearCurryFin1_symm_apply] | n + 2 => have A : (Finset.univ : Finset (Composition (n + 2))) = {c | Composition.length c < n + 2}.toFinset ∪ {Composition.ones (n + 2)} := by refine Subset.antisymm (fun c _ => ?_) (subset_univ _) by_cases h : c.length < n + 2 · simp [h, Set.mem_toFinset (s := {c | Composition.length c < n + 2})] · simp [Composition.eq_ones_iff_le_length.2 (not_lt.1 h)] have B : Disjoint ({c | Composition.length c < n + 2} : Set (Composition (n + 2))).toFinset {Composition.ones (n + 2)} := by simp [Set.mem_toFinset (s := {c | Composition.length c < n + 2})] have C : ((p.leftInv i (Composition.ones (n + 2)).length) fun j : Fin (Composition.ones n.succ.succ).length => p 1 fun _ => v ((Fin.castLE (Composition.length_le _)) j)) = p.leftInv i (n + 2) fun j : Fin (n + 2) => p 1 fun _ => v j := by apply FormalMultilinearSeries.congr _ (Composition.ones_length _) fun j hj1 hj2 => ?_ exact FormalMultilinearSeries.congr _ rfl fun k _ _ => by congr have D : (p.leftInv i (n + 2) fun j : Fin (n + 2) => p 1 fun _ => v j) = -∑ c ∈ {c : Composition (n + 2) | c.length < n + 2}.toFinset, (p.leftInv i c.length) (p.applyComposition c v) := by simp only [leftInv, ContinuousMultilinearMap.neg_apply, neg_inj, ContinuousMultilinearMap.sum_apply] convert (sum_toFinset_eq_subtype (fun c : Composition (n + 2) => c.length < n + 2) (fun c : Composition (n + 2) => (ContinuousMultilinearMap.compAlongComposition (p.compContinuousLinearMap (i.symm : F →L[𝕜] E)) c (p.leftInv i c.length)) fun j : Fin (n + 2) => p 1 fun _ : Fin 1 => v j)).symm.trans _ simp only [compContinuousLinearMap_applyComposition, ContinuousMultilinearMap.compAlongComposition_apply] congr ext c congr ext k simp [h, Function.comp] simp [FormalMultilinearSeries.comp, show n + 2 ≠ 1 by omega, A, Finset.sum_union B, applyComposition_ones, C, D, -Set.toFinset_setOf] #align formal_multilinear_series.left_inv_comp FormalMultilinearSeries.leftInv_comp noncomputable def rightInv (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : FormalMultilinearSeries 𝕜 F E | 0 => 0 | 1 => (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm | n + 2 => let q : FormalMultilinearSeries 𝕜 F E := fun k => if k < n + 2 then rightInv p i k else 0; -(i.symm : F →L[𝕜] E).compContinuousMultilinearMap ((p.comp q) (n + 2)) #align formal_multilinear_series.right_inv FormalMultilinearSeries.rightInv @[simp]
Mathlib/Analysis/Analytic/Inverse.lean
177
178
theorem rightInv_coeff_zero (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : p.rightInv i 0 = 0 := by
rw [rightInv]
1
2.718282
0
0.8
5
701
import Mathlib.CategoryTheory.EpiMono import Mathlib.CategoryTheory.Functor.FullyFaithful import Mathlib.Tactic.PPWithUniv import Mathlib.Data.Set.Defs #align_import category_theory.types from "leanprover-community/mathlib"@"48085f140e684306f9e7da907cd5932056d1aded" namespace CategoryTheory -- morphism levels before object levels. See note [CategoryTheory universes]. universe v v' w u u' @[to_additive existing CategoryTheory.types] instance types : LargeCategory (Type u) where Hom a b := a → b id a := id comp f g := g ∘ f #align category_theory.types CategoryTheory.types theorem types_hom {α β : Type u} : (α ⟶ β) = (α → β) := rfl #align category_theory.types_hom CategoryTheory.types_hom -- porting note (#10688): this lemma was not here in Lean 3. Lean 3 `ext` would solve this goal -- because of its "if all else fails, apply all `ext` lemmas" policy, -- which apparently we want to move away from. @[ext] theorem types_ext {α β : Type u} (f g : α ⟶ β) (h : ∀ a : α, f a = g a) : f = g := by funext x exact h x theorem types_id (X : Type u) : 𝟙 X = id := rfl #align category_theory.types_id CategoryTheory.types_id theorem types_comp {X Y Z : Type u} (f : X ⟶ Y) (g : Y ⟶ Z) : f ≫ g = g ∘ f := rfl #align category_theory.types_comp CategoryTheory.types_comp @[simp] theorem types_id_apply (X : Type u) (x : X) : (𝟙 X : X → X) x = x := rfl #align category_theory.types_id_apply CategoryTheory.types_id_apply @[simp] theorem types_comp_apply {X Y Z : Type u} (f : X ⟶ Y) (g : Y ⟶ Z) (x : X) : (f ≫ g) x = g (f x) := rfl #align category_theory.types_comp_apply CategoryTheory.types_comp_apply @[simp] theorem hom_inv_id_apply {X Y : Type u} (f : X ≅ Y) (x : X) : f.inv (f.hom x) = x := congr_fun f.hom_inv_id x #align category_theory.hom_inv_id_apply CategoryTheory.hom_inv_id_apply @[simp] theorem inv_hom_id_apply {X Y : Type u} (f : X ≅ Y) (y : Y) : f.hom (f.inv y) = y := congr_fun f.inv_hom_id y #align category_theory.inv_hom_id_apply CategoryTheory.inv_hom_id_apply -- Unfortunately without this wrapper we can't use `CategoryTheory` idioms, such as `IsIso f`. abbrev asHom {α β : Type u} (f : α → β) : α ⟶ β := f #align category_theory.as_hom CategoryTheory.asHom @[inherit_doc] scoped notation "↾" f:200 => CategoryTheory.asHom f section -- We verify the expected type checking behaviour of `asHom` variable (α β γ : Type u) (f : α → β) (g : β → γ) example : α → γ := ↾f ≫ ↾g example [IsIso (↾f)] : Mono (↾f) := by infer_instance example [IsIso (↾f)] : ↾f ≫ inv (↾f) = 𝟙 α := by simp end namespace FunctorToTypes variable {C : Type u} [Category.{v} C] (F G H : C ⥤ Type w) {X Y Z : C} variable (σ : F ⟶ G) (τ : G ⟶ H) @[simp]
Mathlib/CategoryTheory/Types.lean
152
153
theorem map_comp_apply (f : X ⟶ Y) (g : Y ⟶ Z) (a : F.obj X) : (F.map (f ≫ g)) a = (F.map g) ((F.map f) a) := by
simp [types_comp]
1
2.718282
0
0.8
5
702
import Mathlib.CategoryTheory.EpiMono import Mathlib.CategoryTheory.Functor.FullyFaithful import Mathlib.Tactic.PPWithUniv import Mathlib.Data.Set.Defs #align_import category_theory.types from "leanprover-community/mathlib"@"48085f140e684306f9e7da907cd5932056d1aded" namespace CategoryTheory -- morphism levels before object levels. See note [CategoryTheory universes]. universe v v' w u u' @[to_additive existing CategoryTheory.types] instance types : LargeCategory (Type u) where Hom a b := a → b id a := id comp f g := g ∘ f #align category_theory.types CategoryTheory.types theorem types_hom {α β : Type u} : (α ⟶ β) = (α → β) := rfl #align category_theory.types_hom CategoryTheory.types_hom -- porting note (#10688): this lemma was not here in Lean 3. Lean 3 `ext` would solve this goal -- because of its "if all else fails, apply all `ext` lemmas" policy, -- which apparently we want to move away from. @[ext] theorem types_ext {α β : Type u} (f g : α ⟶ β) (h : ∀ a : α, f a = g a) : f = g := by funext x exact h x theorem types_id (X : Type u) : 𝟙 X = id := rfl #align category_theory.types_id CategoryTheory.types_id theorem types_comp {X Y Z : Type u} (f : X ⟶ Y) (g : Y ⟶ Z) : f ≫ g = g ∘ f := rfl #align category_theory.types_comp CategoryTheory.types_comp @[simp] theorem types_id_apply (X : Type u) (x : X) : (𝟙 X : X → X) x = x := rfl #align category_theory.types_id_apply CategoryTheory.types_id_apply @[simp] theorem types_comp_apply {X Y Z : Type u} (f : X ⟶ Y) (g : Y ⟶ Z) (x : X) : (f ≫ g) x = g (f x) := rfl #align category_theory.types_comp_apply CategoryTheory.types_comp_apply @[simp] theorem hom_inv_id_apply {X Y : Type u} (f : X ≅ Y) (x : X) : f.inv (f.hom x) = x := congr_fun f.hom_inv_id x #align category_theory.hom_inv_id_apply CategoryTheory.hom_inv_id_apply @[simp] theorem inv_hom_id_apply {X Y : Type u} (f : X ≅ Y) (y : Y) : f.hom (f.inv y) = y := congr_fun f.inv_hom_id y #align category_theory.inv_hom_id_apply CategoryTheory.inv_hom_id_apply -- Unfortunately without this wrapper we can't use `CategoryTheory` idioms, such as `IsIso f`. abbrev asHom {α β : Type u} (f : α → β) : α ⟶ β := f #align category_theory.as_hom CategoryTheory.asHom @[inherit_doc] scoped notation "↾" f:200 => CategoryTheory.asHom f section -- We verify the expected type checking behaviour of `asHom` variable (α β γ : Type u) (f : α → β) (g : β → γ) example : α → γ := ↾f ≫ ↾g example [IsIso (↾f)] : Mono (↾f) := by infer_instance example [IsIso (↾f)] : ↾f ≫ inv (↾f) = 𝟙 α := by simp end namespace FunctorToTypes variable {C : Type u} [Category.{v} C] (F G H : C ⥤ Type w) {X Y Z : C} variable (σ : F ⟶ G) (τ : G ⟶ H) @[simp] theorem map_comp_apply (f : X ⟶ Y) (g : Y ⟶ Z) (a : F.obj X) : (F.map (f ≫ g)) a = (F.map g) ((F.map f) a) := by simp [types_comp] #align category_theory.functor_to_types.map_comp_apply CategoryTheory.FunctorToTypes.map_comp_apply @[simp]
Mathlib/CategoryTheory/Types.lean
157
157
theorem map_id_apply (a : F.obj X) : (F.map (𝟙 X)) a = a := by
simp [types_id]
1
2.718282
0
0.8
5
702
import Mathlib.CategoryTheory.EpiMono import Mathlib.CategoryTheory.Functor.FullyFaithful import Mathlib.Tactic.PPWithUniv import Mathlib.Data.Set.Defs #align_import category_theory.types from "leanprover-community/mathlib"@"48085f140e684306f9e7da907cd5932056d1aded" namespace CategoryTheory -- morphism levels before object levels. See note [CategoryTheory universes]. universe v v' w u u' @[to_additive existing CategoryTheory.types] instance types : LargeCategory (Type u) where Hom a b := a → b id a := id comp f g := g ∘ f #align category_theory.types CategoryTheory.types theorem types_hom {α β : Type u} : (α ⟶ β) = (α → β) := rfl #align category_theory.types_hom CategoryTheory.types_hom -- porting note (#10688): this lemma was not here in Lean 3. Lean 3 `ext` would solve this goal -- because of its "if all else fails, apply all `ext` lemmas" policy, -- which apparently we want to move away from. @[ext] theorem types_ext {α β : Type u} (f g : α ⟶ β) (h : ∀ a : α, f a = g a) : f = g := by funext x exact h x theorem types_id (X : Type u) : 𝟙 X = id := rfl #align category_theory.types_id CategoryTheory.types_id theorem types_comp {X Y Z : Type u} (f : X ⟶ Y) (g : Y ⟶ Z) : f ≫ g = g ∘ f := rfl #align category_theory.types_comp CategoryTheory.types_comp @[simp] theorem types_id_apply (X : Type u) (x : X) : (𝟙 X : X → X) x = x := rfl #align category_theory.types_id_apply CategoryTheory.types_id_apply @[simp] theorem types_comp_apply {X Y Z : Type u} (f : X ⟶ Y) (g : Y ⟶ Z) (x : X) : (f ≫ g) x = g (f x) := rfl #align category_theory.types_comp_apply CategoryTheory.types_comp_apply @[simp] theorem hom_inv_id_apply {X Y : Type u} (f : X ≅ Y) (x : X) : f.inv (f.hom x) = x := congr_fun f.hom_inv_id x #align category_theory.hom_inv_id_apply CategoryTheory.hom_inv_id_apply @[simp] theorem inv_hom_id_apply {X Y : Type u} (f : X ≅ Y) (y : Y) : f.hom (f.inv y) = y := congr_fun f.inv_hom_id y #align category_theory.inv_hom_id_apply CategoryTheory.inv_hom_id_apply -- Unfortunately without this wrapper we can't use `CategoryTheory` idioms, such as `IsIso f`. abbrev asHom {α β : Type u} (f : α → β) : α ⟶ β := f #align category_theory.as_hom CategoryTheory.asHom @[inherit_doc] scoped notation "↾" f:200 => CategoryTheory.asHom f section -- We verify the expected type checking behaviour of `asHom` variable (α β γ : Type u) (f : α → β) (g : β → γ) example : α → γ := ↾f ≫ ↾g example [IsIso (↾f)] : Mono (↾f) := by infer_instance example [IsIso (↾f)] : ↾f ≫ inv (↾f) = 𝟙 α := by simp end namespace FunctorToTypes variable {C : Type u} [Category.{v} C] (F G H : C ⥤ Type w) {X Y Z : C} variable (σ : F ⟶ G) (τ : G ⟶ H) @[simp] theorem map_comp_apply (f : X ⟶ Y) (g : Y ⟶ Z) (a : F.obj X) : (F.map (f ≫ g)) a = (F.map g) ((F.map f) a) := by simp [types_comp] #align category_theory.functor_to_types.map_comp_apply CategoryTheory.FunctorToTypes.map_comp_apply @[simp] theorem map_id_apply (a : F.obj X) : (F.map (𝟙 X)) a = a := by simp [types_id] #align category_theory.functor_to_types.map_id_apply CategoryTheory.FunctorToTypes.map_id_apply theorem naturality (f : X ⟶ Y) (x : F.obj X) : σ.app Y ((F.map f) x) = (G.map f) (σ.app X x) := congr_fun (σ.naturality f) x #align category_theory.functor_to_types.naturality CategoryTheory.FunctorToTypes.naturality @[simp] theorem comp (x : F.obj X) : (σ ≫ τ).app X x = τ.app X (σ.app X x) := rfl #align category_theory.functor_to_types.comp CategoryTheory.FunctorToTypes.comp @[simp]
Mathlib/CategoryTheory/Types.lean
170
172
theorem eqToHom_map_comp_apply (p : X = Y) (q : Y = Z) (x : F.obj X) : F.map (eqToHom q) (F.map (eqToHom p) x) = F.map (eqToHom <| p.trans q) x := by
aesop_cat
1
2.718282
0
0.8
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702
import Mathlib.CategoryTheory.EpiMono import Mathlib.CategoryTheory.Functor.FullyFaithful import Mathlib.Tactic.PPWithUniv import Mathlib.Data.Set.Defs #align_import category_theory.types from "leanprover-community/mathlib"@"48085f140e684306f9e7da907cd5932056d1aded" namespace CategoryTheory -- morphism levels before object levels. See note [CategoryTheory universes]. universe v v' w u u' @[to_additive existing CategoryTheory.types] instance types : LargeCategory (Type u) where Hom a b := a → b id a := id comp f g := g ∘ f #align category_theory.types CategoryTheory.types theorem types_hom {α β : Type u} : (α ⟶ β) = (α → β) := rfl #align category_theory.types_hom CategoryTheory.types_hom -- porting note (#10688): this lemma was not here in Lean 3. Lean 3 `ext` would solve this goal -- because of its "if all else fails, apply all `ext` lemmas" policy, -- which apparently we want to move away from. @[ext] theorem types_ext {α β : Type u} (f g : α ⟶ β) (h : ∀ a : α, f a = g a) : f = g := by funext x exact h x theorem types_id (X : Type u) : 𝟙 X = id := rfl #align category_theory.types_id CategoryTheory.types_id theorem types_comp {X Y Z : Type u} (f : X ⟶ Y) (g : Y ⟶ Z) : f ≫ g = g ∘ f := rfl #align category_theory.types_comp CategoryTheory.types_comp @[simp] theorem types_id_apply (X : Type u) (x : X) : (𝟙 X : X → X) x = x := rfl #align category_theory.types_id_apply CategoryTheory.types_id_apply @[simp] theorem types_comp_apply {X Y Z : Type u} (f : X ⟶ Y) (g : Y ⟶ Z) (x : X) : (f ≫ g) x = g (f x) := rfl #align category_theory.types_comp_apply CategoryTheory.types_comp_apply @[simp] theorem hom_inv_id_apply {X Y : Type u} (f : X ≅ Y) (x : X) : f.inv (f.hom x) = x := congr_fun f.hom_inv_id x #align category_theory.hom_inv_id_apply CategoryTheory.hom_inv_id_apply @[simp] theorem inv_hom_id_apply {X Y : Type u} (f : X ≅ Y) (y : Y) : f.hom (f.inv y) = y := congr_fun f.inv_hom_id y #align category_theory.inv_hom_id_apply CategoryTheory.inv_hom_id_apply -- Unfortunately without this wrapper we can't use `CategoryTheory` idioms, such as `IsIso f`. abbrev asHom {α β : Type u} (f : α → β) : α ⟶ β := f #align category_theory.as_hom CategoryTheory.asHom @[inherit_doc] scoped notation "↾" f:200 => CategoryTheory.asHom f section -- We verify the expected type checking behaviour of `asHom` variable (α β γ : Type u) (f : α → β) (g : β → γ) example : α → γ := ↾f ≫ ↾g example [IsIso (↾f)] : Mono (↾f) := by infer_instance example [IsIso (↾f)] : ↾f ≫ inv (↾f) = 𝟙 α := by simp end def uliftTrivial (V : Type u) : ULift.{u} V ≅ V where hom a := a.1 inv a := .up a #align category_theory.ulift_trivial CategoryTheory.uliftTrivial @[pp_with_univ] def uliftFunctor : Type u ⥤ Type max u v where obj X := ULift.{v} X map {X} {Y} f := fun x : ULift.{v} X => ULift.up (f x.down) #align category_theory.ulift_functor CategoryTheory.uliftFunctor @[simp] theorem uliftFunctor_map {X Y : Type u} (f : X ⟶ Y) (x : ULift.{v} X) : uliftFunctor.map f x = ULift.up (f x.down) := rfl #align category_theory.ulift_functor_map CategoryTheory.uliftFunctor_map instance uliftFunctor_full : Functor.Full.{u} uliftFunctor where map_surjective f := ⟨fun x => (f (ULift.up x)).down, rfl⟩ #align category_theory.ulift_functor_full CategoryTheory.uliftFunctor_full instance uliftFunctor_faithful : uliftFunctor.Faithful where map_injective {_X} {_Y} f g p := funext fun x => congr_arg ULift.down (congr_fun p (ULift.up x) : ULift.up (f x) = ULift.up (g x)) #align category_theory.ulift_functor_faithful CategoryTheory.uliftFunctor_faithful def uliftFunctorTrivial : uliftFunctor.{u, u} ≅ 𝟭 _ := NatIso.ofComponents uliftTrivial #align category_theory.ulift_functor_trivial CategoryTheory.uliftFunctorTrivial -- TODO We should connect this to a general story about concrete categories -- whose forgetful functor is representable. def homOfElement {X : Type u} (x : X) : PUnit ⟶ X := fun _ => x #align category_theory.hom_of_element CategoryTheory.homOfElement theorem homOfElement_eq_iff {X : Type u} (x y : X) : homOfElement x = homOfElement y ↔ x = y := ⟨fun H => congr_fun H PUnit.unit, by aesop⟩ #align category_theory.hom_of_element_eq_iff CategoryTheory.homOfElement_eq_iff
Mathlib/CategoryTheory/Types.lean
256
261
theorem mono_iff_injective {X Y : Type u} (f : X ⟶ Y) : Mono f ↔ Function.Injective f := by
constructor · intro H x x' h rw [← homOfElement_eq_iff] at h ⊢ exact (cancel_mono f).mp h · exact fun H => ⟨fun g g' h => H.comp_left h⟩
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import Mathlib.CategoryTheory.EpiMono import Mathlib.CategoryTheory.Functor.FullyFaithful import Mathlib.Tactic.PPWithUniv import Mathlib.Data.Set.Defs #align_import category_theory.types from "leanprover-community/mathlib"@"48085f140e684306f9e7da907cd5932056d1aded" namespace CategoryTheory -- morphism levels before object levels. See note [CategoryTheory universes]. universe v v' w u u' @[to_additive existing CategoryTheory.types] instance types : LargeCategory (Type u) where Hom a b := a → b id a := id comp f g := g ∘ f #align category_theory.types CategoryTheory.types theorem types_hom {α β : Type u} : (α ⟶ β) = (α → β) := rfl #align category_theory.types_hom CategoryTheory.types_hom -- porting note (#10688): this lemma was not here in Lean 3. Lean 3 `ext` would solve this goal -- because of its "if all else fails, apply all `ext` lemmas" policy, -- which apparently we want to move away from. @[ext] theorem types_ext {α β : Type u} (f g : α ⟶ β) (h : ∀ a : α, f a = g a) : f = g := by funext x exact h x theorem types_id (X : Type u) : 𝟙 X = id := rfl #align category_theory.types_id CategoryTheory.types_id theorem types_comp {X Y Z : Type u} (f : X ⟶ Y) (g : Y ⟶ Z) : f ≫ g = g ∘ f := rfl #align category_theory.types_comp CategoryTheory.types_comp @[simp] theorem types_id_apply (X : Type u) (x : X) : (𝟙 X : X → X) x = x := rfl #align category_theory.types_id_apply CategoryTheory.types_id_apply @[simp] theorem types_comp_apply {X Y Z : Type u} (f : X ⟶ Y) (g : Y ⟶ Z) (x : X) : (f ≫ g) x = g (f x) := rfl #align category_theory.types_comp_apply CategoryTheory.types_comp_apply @[simp] theorem hom_inv_id_apply {X Y : Type u} (f : X ≅ Y) (x : X) : f.inv (f.hom x) = x := congr_fun f.hom_inv_id x #align category_theory.hom_inv_id_apply CategoryTheory.hom_inv_id_apply @[simp] theorem inv_hom_id_apply {X Y : Type u} (f : X ≅ Y) (y : Y) : f.hom (f.inv y) = y := congr_fun f.inv_hom_id y #align category_theory.inv_hom_id_apply CategoryTheory.inv_hom_id_apply -- Unfortunately without this wrapper we can't use `CategoryTheory` idioms, such as `IsIso f`. abbrev asHom {α β : Type u} (f : α → β) : α ⟶ β := f #align category_theory.as_hom CategoryTheory.asHom @[inherit_doc] scoped notation "↾" f:200 => CategoryTheory.asHom f section -- We verify the expected type checking behaviour of `asHom` variable (α β γ : Type u) (f : α → β) (g : β → γ) example : α → γ := ↾f ≫ ↾g example [IsIso (↾f)] : Mono (↾f) := by infer_instance example [IsIso (↾f)] : ↾f ≫ inv (↾f) = 𝟙 α := by simp end def uliftTrivial (V : Type u) : ULift.{u} V ≅ V where hom a := a.1 inv a := .up a #align category_theory.ulift_trivial CategoryTheory.uliftTrivial @[pp_with_univ] def uliftFunctor : Type u ⥤ Type max u v where obj X := ULift.{v} X map {X} {Y} f := fun x : ULift.{v} X => ULift.up (f x.down) #align category_theory.ulift_functor CategoryTheory.uliftFunctor @[simp] theorem uliftFunctor_map {X Y : Type u} (f : X ⟶ Y) (x : ULift.{v} X) : uliftFunctor.map f x = ULift.up (f x.down) := rfl #align category_theory.ulift_functor_map CategoryTheory.uliftFunctor_map instance uliftFunctor_full : Functor.Full.{u} uliftFunctor where map_surjective f := ⟨fun x => (f (ULift.up x)).down, rfl⟩ #align category_theory.ulift_functor_full CategoryTheory.uliftFunctor_full instance uliftFunctor_faithful : uliftFunctor.Faithful where map_injective {_X} {_Y} f g p := funext fun x => congr_arg ULift.down (congr_fun p (ULift.up x) : ULift.up (f x) = ULift.up (g x)) #align category_theory.ulift_functor_faithful CategoryTheory.uliftFunctor_faithful def uliftFunctorTrivial : uliftFunctor.{u, u} ≅ 𝟭 _ := NatIso.ofComponents uliftTrivial #align category_theory.ulift_functor_trivial CategoryTheory.uliftFunctorTrivial -- TODO We should connect this to a general story about concrete categories -- whose forgetful functor is representable. def homOfElement {X : Type u} (x : X) : PUnit ⟶ X := fun _ => x #align category_theory.hom_of_element CategoryTheory.homOfElement theorem homOfElement_eq_iff {X : Type u} (x y : X) : homOfElement x = homOfElement y ↔ x = y := ⟨fun H => congr_fun H PUnit.unit, by aesop⟩ #align category_theory.hom_of_element_eq_iff CategoryTheory.homOfElement_eq_iff theorem mono_iff_injective {X Y : Type u} (f : X ⟶ Y) : Mono f ↔ Function.Injective f := by constructor · intro H x x' h rw [← homOfElement_eq_iff] at h ⊢ exact (cancel_mono f).mp h · exact fun H => ⟨fun g g' h => H.comp_left h⟩ #align category_theory.mono_iff_injective CategoryTheory.mono_iff_injective theorem injective_of_mono {X Y : Type u} (f : X ⟶ Y) [hf : Mono f] : Function.Injective f := (mono_iff_injective f).1 hf #align category_theory.injective_of_mono CategoryTheory.injective_of_mono
Mathlib/CategoryTheory/Types.lean
272
280
theorem epi_iff_surjective {X Y : Type u} (f : X ⟶ Y) : Epi f ↔ Function.Surjective f := by
constructor · rintro ⟨H⟩ refine Function.surjective_of_right_cancellable_Prop fun g₁ g₂ hg => ?_ rw [← Equiv.ulift.symm.injective.comp_left.eq_iff] apply H change ULift.up ∘ g₁ ∘ f = ULift.up ∘ g₂ ∘ f rw [hg] · exact fun H => ⟨fun g g' h => H.injective_comp_right h⟩
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