Context stringlengths 57 6.04k | file_name stringlengths 21 79 | start int64 14 1.49k | end int64 18 1.5k | theorem stringlengths 25 1.55k | proof stringlengths 5 7.36k | num_lines int64 1 150 | complexity_score float64 2.72 139,370,958,066,637,970,000,000,000,000,000,000,000,000,000,000,000,000,000B | diff_level int64 0 2 | file_diff_level float64 0 2 | theorem_same_file int64 1 32 | rank_file int64 0 2.51k |
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import Mathlib.Analysis.Calculus.ContDiff.Basic
import Mathlib.Analysis.Calculus.Deriv.Mul
import Mathlib.Analysis.Calculus.Deriv.Shift
import Mathlib.Analysis.Calculus.IteratedDeriv.Defs
variable
{𝕜 : Type*} [NontriviallyNormedField 𝕜]
{F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
{R : Type*} [Semiring R] [Module R F] [SMulCommClass 𝕜 R F] [ContinuousConstSMul R F]
{n : ℕ} {x : 𝕜} {s : Set 𝕜} (hx : x ∈ s) (h : UniqueDiffOn 𝕜 s) {f g : 𝕜 → F}
theorem iteratedDerivWithin_add (hf : ContDiffOn 𝕜 n f s) (hg : ContDiffOn 𝕜 n g s) :
iteratedDerivWithin n (f + g) s x =
iteratedDerivWithin n f s x + iteratedDerivWithin n g s x := by
simp_rw [iteratedDerivWithin, iteratedFDerivWithin_add_apply hf hg h hx,
ContinuousMultilinearMap.add_apply]
theorem iteratedDerivWithin_congr (hfg : Set.EqOn f g s) :
Set.EqOn (iteratedDerivWithin n f s) (iteratedDerivWithin n g s) s := by
induction n generalizing f g with
| zero => rwa [iteratedDerivWithin_zero]
| succ n IH =>
intro y hy
have : UniqueDiffWithinAt 𝕜 s y := h.uniqueDiffWithinAt hy
rw [iteratedDerivWithin_succ this, iteratedDerivWithin_succ this]
exact derivWithin_congr (IH hfg) (IH hfg hy)
| Mathlib/Analysis/Calculus/IteratedDeriv/Lemmas.lean | 40 | 46 | theorem iteratedDerivWithin_const_add (hn : 0 < n) (c : F) :
iteratedDerivWithin n (fun z => c + f z) s x = iteratedDerivWithin n f s x := by |
obtain ⟨n, rfl⟩ := n.exists_eq_succ_of_ne_zero hn.ne'
rw [iteratedDerivWithin_succ' h hx, iteratedDerivWithin_succ' h hx]
refine iteratedDerivWithin_congr h ?_ hx
intro y hy
exact derivWithin_const_add (h.uniqueDiffWithinAt hy) _
| 5 | 148.413159 | 2 | 1.2 | 10 | 1,290 |
import Mathlib.Analysis.Calculus.ContDiff.Basic
import Mathlib.Analysis.Calculus.Deriv.Mul
import Mathlib.Analysis.Calculus.Deriv.Shift
import Mathlib.Analysis.Calculus.IteratedDeriv.Defs
variable
{𝕜 : Type*} [NontriviallyNormedField 𝕜]
{F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
{R : Type*} [Semiring R] [Module R F] [SMulCommClass 𝕜 R F] [ContinuousConstSMul R F]
{n : ℕ} {x : 𝕜} {s : Set 𝕜} (hx : x ∈ s) (h : UniqueDiffOn 𝕜 s) {f g : 𝕜 → F}
theorem iteratedDerivWithin_add (hf : ContDiffOn 𝕜 n f s) (hg : ContDiffOn 𝕜 n g s) :
iteratedDerivWithin n (f + g) s x =
iteratedDerivWithin n f s x + iteratedDerivWithin n g s x := by
simp_rw [iteratedDerivWithin, iteratedFDerivWithin_add_apply hf hg h hx,
ContinuousMultilinearMap.add_apply]
theorem iteratedDerivWithin_congr (hfg : Set.EqOn f g s) :
Set.EqOn (iteratedDerivWithin n f s) (iteratedDerivWithin n g s) s := by
induction n generalizing f g with
| zero => rwa [iteratedDerivWithin_zero]
| succ n IH =>
intro y hy
have : UniqueDiffWithinAt 𝕜 s y := h.uniqueDiffWithinAt hy
rw [iteratedDerivWithin_succ this, iteratedDerivWithin_succ this]
exact derivWithin_congr (IH hfg) (IH hfg hy)
theorem iteratedDerivWithin_const_add (hn : 0 < n) (c : F) :
iteratedDerivWithin n (fun z => c + f z) s x = iteratedDerivWithin n f s x := by
obtain ⟨n, rfl⟩ := n.exists_eq_succ_of_ne_zero hn.ne'
rw [iteratedDerivWithin_succ' h hx, iteratedDerivWithin_succ' h hx]
refine iteratedDerivWithin_congr h ?_ hx
intro y hy
exact derivWithin_const_add (h.uniqueDiffWithinAt hy) _
| Mathlib/Analysis/Calculus/IteratedDeriv/Lemmas.lean | 48 | 56 | theorem iteratedDerivWithin_const_neg (hn : 0 < n) (c : F) :
iteratedDerivWithin n (fun z => c - f z) s x = iteratedDerivWithin n (fun z => -f z) s x := by |
obtain ⟨n, rfl⟩ := n.exists_eq_succ_of_ne_zero hn.ne'
rw [iteratedDerivWithin_succ' h hx, iteratedDerivWithin_succ' h hx]
refine iteratedDerivWithin_congr h ?_ hx
intro y hy
have : UniqueDiffWithinAt 𝕜 s y := h.uniqueDiffWithinAt hy
rw [derivWithin.neg this]
exact derivWithin_const_sub this _
| 7 | 1,096.633158 | 2 | 1.2 | 10 | 1,290 |
import Mathlib.Analysis.Calculus.ContDiff.Basic
import Mathlib.Analysis.Calculus.Deriv.Mul
import Mathlib.Analysis.Calculus.Deriv.Shift
import Mathlib.Analysis.Calculus.IteratedDeriv.Defs
variable
{𝕜 : Type*} [NontriviallyNormedField 𝕜]
{F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
{R : Type*} [Semiring R] [Module R F] [SMulCommClass 𝕜 R F] [ContinuousConstSMul R F]
{n : ℕ} {x : 𝕜} {s : Set 𝕜} (hx : x ∈ s) (h : UniqueDiffOn 𝕜 s) {f g : 𝕜 → F}
theorem iteratedDerivWithin_add (hf : ContDiffOn 𝕜 n f s) (hg : ContDiffOn 𝕜 n g s) :
iteratedDerivWithin n (f + g) s x =
iteratedDerivWithin n f s x + iteratedDerivWithin n g s x := by
simp_rw [iteratedDerivWithin, iteratedFDerivWithin_add_apply hf hg h hx,
ContinuousMultilinearMap.add_apply]
theorem iteratedDerivWithin_congr (hfg : Set.EqOn f g s) :
Set.EqOn (iteratedDerivWithin n f s) (iteratedDerivWithin n g s) s := by
induction n generalizing f g with
| zero => rwa [iteratedDerivWithin_zero]
| succ n IH =>
intro y hy
have : UniqueDiffWithinAt 𝕜 s y := h.uniqueDiffWithinAt hy
rw [iteratedDerivWithin_succ this, iteratedDerivWithin_succ this]
exact derivWithin_congr (IH hfg) (IH hfg hy)
theorem iteratedDerivWithin_const_add (hn : 0 < n) (c : F) :
iteratedDerivWithin n (fun z => c + f z) s x = iteratedDerivWithin n f s x := by
obtain ⟨n, rfl⟩ := n.exists_eq_succ_of_ne_zero hn.ne'
rw [iteratedDerivWithin_succ' h hx, iteratedDerivWithin_succ' h hx]
refine iteratedDerivWithin_congr h ?_ hx
intro y hy
exact derivWithin_const_add (h.uniqueDiffWithinAt hy) _
theorem iteratedDerivWithin_const_neg (hn : 0 < n) (c : F) :
iteratedDerivWithin n (fun z => c - f z) s x = iteratedDerivWithin n (fun z => -f z) s x := by
obtain ⟨n, rfl⟩ := n.exists_eq_succ_of_ne_zero hn.ne'
rw [iteratedDerivWithin_succ' h hx, iteratedDerivWithin_succ' h hx]
refine iteratedDerivWithin_congr h ?_ hx
intro y hy
have : UniqueDiffWithinAt 𝕜 s y := h.uniqueDiffWithinAt hy
rw [derivWithin.neg this]
exact derivWithin_const_sub this _
| Mathlib/Analysis/Calculus/IteratedDeriv/Lemmas.lean | 58 | 62 | theorem iteratedDerivWithin_const_smul (c : R) (hf : ContDiffOn 𝕜 n f s) :
iteratedDerivWithin n (c • f) s x = c • iteratedDerivWithin n f s x := by |
simp_rw [iteratedDerivWithin]
rw [iteratedFDerivWithin_const_smul_apply hf h hx]
simp only [ContinuousMultilinearMap.smul_apply]
| 3 | 20.085537 | 1 | 1.2 | 10 | 1,290 |
import Mathlib.Analysis.Calculus.ContDiff.Basic
import Mathlib.Analysis.Calculus.Deriv.Mul
import Mathlib.Analysis.Calculus.Deriv.Shift
import Mathlib.Analysis.Calculus.IteratedDeriv.Defs
variable
{𝕜 : Type*} [NontriviallyNormedField 𝕜]
{F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
{R : Type*} [Semiring R] [Module R F] [SMulCommClass 𝕜 R F] [ContinuousConstSMul R F]
{n : ℕ} {x : 𝕜} {s : Set 𝕜} (hx : x ∈ s) (h : UniqueDiffOn 𝕜 s) {f g : 𝕜 → F}
theorem iteratedDerivWithin_add (hf : ContDiffOn 𝕜 n f s) (hg : ContDiffOn 𝕜 n g s) :
iteratedDerivWithin n (f + g) s x =
iteratedDerivWithin n f s x + iteratedDerivWithin n g s x := by
simp_rw [iteratedDerivWithin, iteratedFDerivWithin_add_apply hf hg h hx,
ContinuousMultilinearMap.add_apply]
theorem iteratedDerivWithin_congr (hfg : Set.EqOn f g s) :
Set.EqOn (iteratedDerivWithin n f s) (iteratedDerivWithin n g s) s := by
induction n generalizing f g with
| zero => rwa [iteratedDerivWithin_zero]
| succ n IH =>
intro y hy
have : UniqueDiffWithinAt 𝕜 s y := h.uniqueDiffWithinAt hy
rw [iteratedDerivWithin_succ this, iteratedDerivWithin_succ this]
exact derivWithin_congr (IH hfg) (IH hfg hy)
theorem iteratedDerivWithin_const_add (hn : 0 < n) (c : F) :
iteratedDerivWithin n (fun z => c + f z) s x = iteratedDerivWithin n f s x := by
obtain ⟨n, rfl⟩ := n.exists_eq_succ_of_ne_zero hn.ne'
rw [iteratedDerivWithin_succ' h hx, iteratedDerivWithin_succ' h hx]
refine iteratedDerivWithin_congr h ?_ hx
intro y hy
exact derivWithin_const_add (h.uniqueDiffWithinAt hy) _
theorem iteratedDerivWithin_const_neg (hn : 0 < n) (c : F) :
iteratedDerivWithin n (fun z => c - f z) s x = iteratedDerivWithin n (fun z => -f z) s x := by
obtain ⟨n, rfl⟩ := n.exists_eq_succ_of_ne_zero hn.ne'
rw [iteratedDerivWithin_succ' h hx, iteratedDerivWithin_succ' h hx]
refine iteratedDerivWithin_congr h ?_ hx
intro y hy
have : UniqueDiffWithinAt 𝕜 s y := h.uniqueDiffWithinAt hy
rw [derivWithin.neg this]
exact derivWithin_const_sub this _
theorem iteratedDerivWithin_const_smul (c : R) (hf : ContDiffOn 𝕜 n f s) :
iteratedDerivWithin n (c • f) s x = c • iteratedDerivWithin n f s x := by
simp_rw [iteratedDerivWithin]
rw [iteratedFDerivWithin_const_smul_apply hf h hx]
simp only [ContinuousMultilinearMap.smul_apply]
| Mathlib/Analysis/Calculus/IteratedDeriv/Lemmas.lean | 64 | 66 | theorem iteratedDerivWithin_const_mul (c : 𝕜) {f : 𝕜 → 𝕜} (hf : ContDiffOn 𝕜 n f s) :
iteratedDerivWithin n (fun z => c * f z) s x = c * iteratedDerivWithin n f s x := by |
simpa using iteratedDerivWithin_const_smul (F := 𝕜) hx h c hf
| 1 | 2.718282 | 0 | 1.2 | 10 | 1,290 |
import Mathlib.Analysis.Calculus.ContDiff.Basic
import Mathlib.Analysis.Calculus.Deriv.Mul
import Mathlib.Analysis.Calculus.Deriv.Shift
import Mathlib.Analysis.Calculus.IteratedDeriv.Defs
variable
{𝕜 : Type*} [NontriviallyNormedField 𝕜]
{F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
{R : Type*} [Semiring R] [Module R F] [SMulCommClass 𝕜 R F] [ContinuousConstSMul R F]
{n : ℕ} {x : 𝕜} {s : Set 𝕜} (hx : x ∈ s) (h : UniqueDiffOn 𝕜 s) {f g : 𝕜 → F}
theorem iteratedDerivWithin_add (hf : ContDiffOn 𝕜 n f s) (hg : ContDiffOn 𝕜 n g s) :
iteratedDerivWithin n (f + g) s x =
iteratedDerivWithin n f s x + iteratedDerivWithin n g s x := by
simp_rw [iteratedDerivWithin, iteratedFDerivWithin_add_apply hf hg h hx,
ContinuousMultilinearMap.add_apply]
theorem iteratedDerivWithin_congr (hfg : Set.EqOn f g s) :
Set.EqOn (iteratedDerivWithin n f s) (iteratedDerivWithin n g s) s := by
induction n generalizing f g with
| zero => rwa [iteratedDerivWithin_zero]
| succ n IH =>
intro y hy
have : UniqueDiffWithinAt 𝕜 s y := h.uniqueDiffWithinAt hy
rw [iteratedDerivWithin_succ this, iteratedDerivWithin_succ this]
exact derivWithin_congr (IH hfg) (IH hfg hy)
theorem iteratedDerivWithin_const_add (hn : 0 < n) (c : F) :
iteratedDerivWithin n (fun z => c + f z) s x = iteratedDerivWithin n f s x := by
obtain ⟨n, rfl⟩ := n.exists_eq_succ_of_ne_zero hn.ne'
rw [iteratedDerivWithin_succ' h hx, iteratedDerivWithin_succ' h hx]
refine iteratedDerivWithin_congr h ?_ hx
intro y hy
exact derivWithin_const_add (h.uniqueDiffWithinAt hy) _
theorem iteratedDerivWithin_const_neg (hn : 0 < n) (c : F) :
iteratedDerivWithin n (fun z => c - f z) s x = iteratedDerivWithin n (fun z => -f z) s x := by
obtain ⟨n, rfl⟩ := n.exists_eq_succ_of_ne_zero hn.ne'
rw [iteratedDerivWithin_succ' h hx, iteratedDerivWithin_succ' h hx]
refine iteratedDerivWithin_congr h ?_ hx
intro y hy
have : UniqueDiffWithinAt 𝕜 s y := h.uniqueDiffWithinAt hy
rw [derivWithin.neg this]
exact derivWithin_const_sub this _
theorem iteratedDerivWithin_const_smul (c : R) (hf : ContDiffOn 𝕜 n f s) :
iteratedDerivWithin n (c • f) s x = c • iteratedDerivWithin n f s x := by
simp_rw [iteratedDerivWithin]
rw [iteratedFDerivWithin_const_smul_apply hf h hx]
simp only [ContinuousMultilinearMap.smul_apply]
theorem iteratedDerivWithin_const_mul (c : 𝕜) {f : 𝕜 → 𝕜} (hf : ContDiffOn 𝕜 n f s) :
iteratedDerivWithin n (fun z => c * f z) s x = c * iteratedDerivWithin n f s x := by
simpa using iteratedDerivWithin_const_smul (F := 𝕜) hx h c hf
variable (f) in
| Mathlib/Analysis/Calculus/IteratedDeriv/Lemmas.lean | 69 | 72 | theorem iteratedDerivWithin_neg :
iteratedDerivWithin n (-f) s x = -iteratedDerivWithin n f s x := by |
rw [iteratedDerivWithin, iteratedDerivWithin, iteratedFDerivWithin_neg_apply h hx,
ContinuousMultilinearMap.neg_apply]
| 2 | 7.389056 | 1 | 1.2 | 10 | 1,290 |
import Mathlib.Analysis.Calculus.ContDiff.Basic
import Mathlib.Analysis.Calculus.Deriv.Mul
import Mathlib.Analysis.Calculus.Deriv.Shift
import Mathlib.Analysis.Calculus.IteratedDeriv.Defs
variable
{𝕜 : Type*} [NontriviallyNormedField 𝕜]
{F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
{R : Type*} [Semiring R] [Module R F] [SMulCommClass 𝕜 R F] [ContinuousConstSMul R F]
{n : ℕ} {x : 𝕜} {s : Set 𝕜} (hx : x ∈ s) (h : UniqueDiffOn 𝕜 s) {f g : 𝕜 → F}
theorem iteratedDerivWithin_add (hf : ContDiffOn 𝕜 n f s) (hg : ContDiffOn 𝕜 n g s) :
iteratedDerivWithin n (f + g) s x =
iteratedDerivWithin n f s x + iteratedDerivWithin n g s x := by
simp_rw [iteratedDerivWithin, iteratedFDerivWithin_add_apply hf hg h hx,
ContinuousMultilinearMap.add_apply]
theorem iteratedDerivWithin_congr (hfg : Set.EqOn f g s) :
Set.EqOn (iteratedDerivWithin n f s) (iteratedDerivWithin n g s) s := by
induction n generalizing f g with
| zero => rwa [iteratedDerivWithin_zero]
| succ n IH =>
intro y hy
have : UniqueDiffWithinAt 𝕜 s y := h.uniqueDiffWithinAt hy
rw [iteratedDerivWithin_succ this, iteratedDerivWithin_succ this]
exact derivWithin_congr (IH hfg) (IH hfg hy)
theorem iteratedDerivWithin_const_add (hn : 0 < n) (c : F) :
iteratedDerivWithin n (fun z => c + f z) s x = iteratedDerivWithin n f s x := by
obtain ⟨n, rfl⟩ := n.exists_eq_succ_of_ne_zero hn.ne'
rw [iteratedDerivWithin_succ' h hx, iteratedDerivWithin_succ' h hx]
refine iteratedDerivWithin_congr h ?_ hx
intro y hy
exact derivWithin_const_add (h.uniqueDiffWithinAt hy) _
theorem iteratedDerivWithin_const_neg (hn : 0 < n) (c : F) :
iteratedDerivWithin n (fun z => c - f z) s x = iteratedDerivWithin n (fun z => -f z) s x := by
obtain ⟨n, rfl⟩ := n.exists_eq_succ_of_ne_zero hn.ne'
rw [iteratedDerivWithin_succ' h hx, iteratedDerivWithin_succ' h hx]
refine iteratedDerivWithin_congr h ?_ hx
intro y hy
have : UniqueDiffWithinAt 𝕜 s y := h.uniqueDiffWithinAt hy
rw [derivWithin.neg this]
exact derivWithin_const_sub this _
theorem iteratedDerivWithin_const_smul (c : R) (hf : ContDiffOn 𝕜 n f s) :
iteratedDerivWithin n (c • f) s x = c • iteratedDerivWithin n f s x := by
simp_rw [iteratedDerivWithin]
rw [iteratedFDerivWithin_const_smul_apply hf h hx]
simp only [ContinuousMultilinearMap.smul_apply]
theorem iteratedDerivWithin_const_mul (c : 𝕜) {f : 𝕜 → 𝕜} (hf : ContDiffOn 𝕜 n f s) :
iteratedDerivWithin n (fun z => c * f z) s x = c * iteratedDerivWithin n f s x := by
simpa using iteratedDerivWithin_const_smul (F := 𝕜) hx h c hf
variable (f) in
theorem iteratedDerivWithin_neg :
iteratedDerivWithin n (-f) s x = -iteratedDerivWithin n f s x := by
rw [iteratedDerivWithin, iteratedDerivWithin, iteratedFDerivWithin_neg_apply h hx,
ContinuousMultilinearMap.neg_apply]
variable (f) in
theorem iteratedDerivWithin_neg' :
iteratedDerivWithin n (fun z => -f z) s x = -iteratedDerivWithin n f s x :=
iteratedDerivWithin_neg hx h f
| Mathlib/Analysis/Calculus/IteratedDeriv/Lemmas.lean | 79 | 83 | theorem iteratedDerivWithin_sub (hf : ContDiffOn 𝕜 n f s) (hg : ContDiffOn 𝕜 n g s) :
iteratedDerivWithin n (f - g) s x =
iteratedDerivWithin n f s x - iteratedDerivWithin n g s x := by |
rw [sub_eq_add_neg, sub_eq_add_neg, Pi.neg_def, iteratedDerivWithin_add hx h hf hg.neg,
iteratedDerivWithin_neg' hx h]
| 2 | 7.389056 | 1 | 1.2 | 10 | 1,290 |
import Mathlib.Analysis.Calculus.ContDiff.Basic
import Mathlib.Analysis.Calculus.Deriv.Mul
import Mathlib.Analysis.Calculus.Deriv.Shift
import Mathlib.Analysis.Calculus.IteratedDeriv.Defs
variable
{𝕜 : Type*} [NontriviallyNormedField 𝕜]
{F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
{R : Type*} [Semiring R] [Module R F] [SMulCommClass 𝕜 R F] [ContinuousConstSMul R F]
{n : ℕ} {x : 𝕜} {s : Set 𝕜} (hx : x ∈ s) (h : UniqueDiffOn 𝕜 s) {f g : 𝕜 → F}
theorem iteratedDerivWithin_add (hf : ContDiffOn 𝕜 n f s) (hg : ContDiffOn 𝕜 n g s) :
iteratedDerivWithin n (f + g) s x =
iteratedDerivWithin n f s x + iteratedDerivWithin n g s x := by
simp_rw [iteratedDerivWithin, iteratedFDerivWithin_add_apply hf hg h hx,
ContinuousMultilinearMap.add_apply]
theorem iteratedDerivWithin_congr (hfg : Set.EqOn f g s) :
Set.EqOn (iteratedDerivWithin n f s) (iteratedDerivWithin n g s) s := by
induction n generalizing f g with
| zero => rwa [iteratedDerivWithin_zero]
| succ n IH =>
intro y hy
have : UniqueDiffWithinAt 𝕜 s y := h.uniqueDiffWithinAt hy
rw [iteratedDerivWithin_succ this, iteratedDerivWithin_succ this]
exact derivWithin_congr (IH hfg) (IH hfg hy)
theorem iteratedDerivWithin_const_add (hn : 0 < n) (c : F) :
iteratedDerivWithin n (fun z => c + f z) s x = iteratedDerivWithin n f s x := by
obtain ⟨n, rfl⟩ := n.exists_eq_succ_of_ne_zero hn.ne'
rw [iteratedDerivWithin_succ' h hx, iteratedDerivWithin_succ' h hx]
refine iteratedDerivWithin_congr h ?_ hx
intro y hy
exact derivWithin_const_add (h.uniqueDiffWithinAt hy) _
theorem iteratedDerivWithin_const_neg (hn : 0 < n) (c : F) :
iteratedDerivWithin n (fun z => c - f z) s x = iteratedDerivWithin n (fun z => -f z) s x := by
obtain ⟨n, rfl⟩ := n.exists_eq_succ_of_ne_zero hn.ne'
rw [iteratedDerivWithin_succ' h hx, iteratedDerivWithin_succ' h hx]
refine iteratedDerivWithin_congr h ?_ hx
intro y hy
have : UniqueDiffWithinAt 𝕜 s y := h.uniqueDiffWithinAt hy
rw [derivWithin.neg this]
exact derivWithin_const_sub this _
theorem iteratedDerivWithin_const_smul (c : R) (hf : ContDiffOn 𝕜 n f s) :
iteratedDerivWithin n (c • f) s x = c • iteratedDerivWithin n f s x := by
simp_rw [iteratedDerivWithin]
rw [iteratedFDerivWithin_const_smul_apply hf h hx]
simp only [ContinuousMultilinearMap.smul_apply]
theorem iteratedDerivWithin_const_mul (c : 𝕜) {f : 𝕜 → 𝕜} (hf : ContDiffOn 𝕜 n f s) :
iteratedDerivWithin n (fun z => c * f z) s x = c * iteratedDerivWithin n f s x := by
simpa using iteratedDerivWithin_const_smul (F := 𝕜) hx h c hf
variable (f) in
theorem iteratedDerivWithin_neg :
iteratedDerivWithin n (-f) s x = -iteratedDerivWithin n f s x := by
rw [iteratedDerivWithin, iteratedDerivWithin, iteratedFDerivWithin_neg_apply h hx,
ContinuousMultilinearMap.neg_apply]
variable (f) in
theorem iteratedDerivWithin_neg' :
iteratedDerivWithin n (fun z => -f z) s x = -iteratedDerivWithin n f s x :=
iteratedDerivWithin_neg hx h f
theorem iteratedDerivWithin_sub (hf : ContDiffOn 𝕜 n f s) (hg : ContDiffOn 𝕜 n g s) :
iteratedDerivWithin n (f - g) s x =
iteratedDerivWithin n f s x - iteratedDerivWithin n g s x := by
rw [sub_eq_add_neg, sub_eq_add_neg, Pi.neg_def, iteratedDerivWithin_add hx h hf hg.neg,
iteratedDerivWithin_neg' hx h]
| Mathlib/Analysis/Calculus/IteratedDeriv/Lemmas.lean | 85 | 100 | theorem iteratedDeriv_const_smul {n : ℕ} {f : 𝕜 → F} (h : ContDiff 𝕜 n f) (c : 𝕜) :
iteratedDeriv n (fun x => f (c * x)) = fun x => c ^ n • iteratedDeriv n f (c * x) := by |
induction n with
| zero => simp
| succ n ih =>
funext x
have h₀ : DifferentiableAt 𝕜 (iteratedDeriv n f) (c * x) :=
h.differentiable_iteratedDeriv n (Nat.cast_lt.mpr n.lt_succ_self) |>.differentiableAt
have h₁ : DifferentiableAt 𝕜 (fun x => iteratedDeriv n f (c * x)) x := by
rw [← Function.comp_def]
apply DifferentiableAt.comp
· exact h.differentiable_iteratedDeriv n (Nat.cast_lt.mpr n.lt_succ_self) |>.differentiableAt
· exact differentiableAt_id'.const_mul _
rw [iteratedDeriv_succ, ih h.of_succ, deriv_const_smul _ h₁, iteratedDeriv_succ,
← Function.comp_def, deriv.scomp x h₀ (differentiableAt_id'.const_mul _),
deriv_const_mul _ differentiableAt_id', deriv_id'', smul_smul, mul_one, pow_succ]
| 14 | 1,202,604.284165 | 2 | 1.2 | 10 | 1,290 |
import Mathlib.Analysis.Calculus.ContDiff.Basic
import Mathlib.Analysis.Calculus.Deriv.Mul
import Mathlib.Analysis.Calculus.Deriv.Shift
import Mathlib.Analysis.Calculus.IteratedDeriv.Defs
variable
{𝕜 : Type*} [NontriviallyNormedField 𝕜]
{F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
{R : Type*} [Semiring R] [Module R F] [SMulCommClass 𝕜 R F] [ContinuousConstSMul R F]
{n : ℕ} {x : 𝕜} {s : Set 𝕜} (hx : x ∈ s) (h : UniqueDiffOn 𝕜 s) {f g : 𝕜 → F}
theorem iteratedDerivWithin_add (hf : ContDiffOn 𝕜 n f s) (hg : ContDiffOn 𝕜 n g s) :
iteratedDerivWithin n (f + g) s x =
iteratedDerivWithin n f s x + iteratedDerivWithin n g s x := by
simp_rw [iteratedDerivWithin, iteratedFDerivWithin_add_apply hf hg h hx,
ContinuousMultilinearMap.add_apply]
theorem iteratedDerivWithin_congr (hfg : Set.EqOn f g s) :
Set.EqOn (iteratedDerivWithin n f s) (iteratedDerivWithin n g s) s := by
induction n generalizing f g with
| zero => rwa [iteratedDerivWithin_zero]
| succ n IH =>
intro y hy
have : UniqueDiffWithinAt 𝕜 s y := h.uniqueDiffWithinAt hy
rw [iteratedDerivWithin_succ this, iteratedDerivWithin_succ this]
exact derivWithin_congr (IH hfg) (IH hfg hy)
theorem iteratedDerivWithin_const_add (hn : 0 < n) (c : F) :
iteratedDerivWithin n (fun z => c + f z) s x = iteratedDerivWithin n f s x := by
obtain ⟨n, rfl⟩ := n.exists_eq_succ_of_ne_zero hn.ne'
rw [iteratedDerivWithin_succ' h hx, iteratedDerivWithin_succ' h hx]
refine iteratedDerivWithin_congr h ?_ hx
intro y hy
exact derivWithin_const_add (h.uniqueDiffWithinAt hy) _
theorem iteratedDerivWithin_const_neg (hn : 0 < n) (c : F) :
iteratedDerivWithin n (fun z => c - f z) s x = iteratedDerivWithin n (fun z => -f z) s x := by
obtain ⟨n, rfl⟩ := n.exists_eq_succ_of_ne_zero hn.ne'
rw [iteratedDerivWithin_succ' h hx, iteratedDerivWithin_succ' h hx]
refine iteratedDerivWithin_congr h ?_ hx
intro y hy
have : UniqueDiffWithinAt 𝕜 s y := h.uniqueDiffWithinAt hy
rw [derivWithin.neg this]
exact derivWithin_const_sub this _
theorem iteratedDerivWithin_const_smul (c : R) (hf : ContDiffOn 𝕜 n f s) :
iteratedDerivWithin n (c • f) s x = c • iteratedDerivWithin n f s x := by
simp_rw [iteratedDerivWithin]
rw [iteratedFDerivWithin_const_smul_apply hf h hx]
simp only [ContinuousMultilinearMap.smul_apply]
theorem iteratedDerivWithin_const_mul (c : 𝕜) {f : 𝕜 → 𝕜} (hf : ContDiffOn 𝕜 n f s) :
iteratedDerivWithin n (fun z => c * f z) s x = c * iteratedDerivWithin n f s x := by
simpa using iteratedDerivWithin_const_smul (F := 𝕜) hx h c hf
variable (f) in
theorem iteratedDerivWithin_neg :
iteratedDerivWithin n (-f) s x = -iteratedDerivWithin n f s x := by
rw [iteratedDerivWithin, iteratedDerivWithin, iteratedFDerivWithin_neg_apply h hx,
ContinuousMultilinearMap.neg_apply]
variable (f) in
theorem iteratedDerivWithin_neg' :
iteratedDerivWithin n (fun z => -f z) s x = -iteratedDerivWithin n f s x :=
iteratedDerivWithin_neg hx h f
theorem iteratedDerivWithin_sub (hf : ContDiffOn 𝕜 n f s) (hg : ContDiffOn 𝕜 n g s) :
iteratedDerivWithin n (f - g) s x =
iteratedDerivWithin n f s x - iteratedDerivWithin n g s x := by
rw [sub_eq_add_neg, sub_eq_add_neg, Pi.neg_def, iteratedDerivWithin_add hx h hf hg.neg,
iteratedDerivWithin_neg' hx h]
theorem iteratedDeriv_const_smul {n : ℕ} {f : 𝕜 → F} (h : ContDiff 𝕜 n f) (c : 𝕜) :
iteratedDeriv n (fun x => f (c * x)) = fun x => c ^ n • iteratedDeriv n f (c * x) := by
induction n with
| zero => simp
| succ n ih =>
funext x
have h₀ : DifferentiableAt 𝕜 (iteratedDeriv n f) (c * x) :=
h.differentiable_iteratedDeriv n (Nat.cast_lt.mpr n.lt_succ_self) |>.differentiableAt
have h₁ : DifferentiableAt 𝕜 (fun x => iteratedDeriv n f (c * x)) x := by
rw [← Function.comp_def]
apply DifferentiableAt.comp
· exact h.differentiable_iteratedDeriv n (Nat.cast_lt.mpr n.lt_succ_self) |>.differentiableAt
· exact differentiableAt_id'.const_mul _
rw [iteratedDeriv_succ, ih h.of_succ, deriv_const_smul _ h₁, iteratedDeriv_succ,
← Function.comp_def, deriv.scomp x h₀ (differentiableAt_id'.const_mul _),
deriv_const_mul _ differentiableAt_id', deriv_id'', smul_smul, mul_one, pow_succ]
| Mathlib/Analysis/Calculus/IteratedDeriv/Lemmas.lean | 102 | 104 | theorem iteratedDeriv_const_mul {n : ℕ} {f : 𝕜 → 𝕜} (h : ContDiff 𝕜 n f) (c : 𝕜) :
iteratedDeriv n (fun x => f (c * x)) = fun x => c ^ n * iteratedDeriv n f (c * x) := by |
simpa only [smul_eq_mul] using iteratedDeriv_const_smul h c
| 1 | 2.718282 | 0 | 1.2 | 10 | 1,290 |
import Mathlib.Data.Finset.Lattice
import Mathlib.Data.Set.Sigma
#align_import data.finset.sigma from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
open Function Multiset
variable {ι : Type*}
namespace Finset
section Sigma
variable {α : ι → Type*} {β : Type*} (s s₁ s₂ : Finset ι) (t t₁ t₂ : ∀ i, Finset (α i))
protected def sigma : Finset (Σi, α i) :=
⟨_, s.nodup.sigma fun i => (t i).nodup⟩
#align finset.sigma Finset.sigma
variable {s s₁ s₂ t t₁ t₂}
@[simp]
theorem mem_sigma {a : Σi, α i} : a ∈ s.sigma t ↔ a.1 ∈ s ∧ a.2 ∈ t a.1 :=
Multiset.mem_sigma
#align finset.mem_sigma Finset.mem_sigma
@[simp, norm_cast]
theorem coe_sigma (s : Finset ι) (t : ∀ i, Finset (α i)) :
(s.sigma t : Set (Σ i, α i)) = (s : Set ι).sigma fun i ↦ (t i : Set (α i)) :=
Set.ext fun _ => mem_sigma
#align finset.coe_sigma Finset.coe_sigma
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
| Mathlib/Data/Finset/Sigma.lean | 60 | 60 | theorem sigma_nonempty : (s.sigma t).Nonempty ↔ ∃ i ∈ s, (t i).Nonempty := by | simp [Finset.Nonempty]
| 1 | 2.718282 | 0 | 1.214286 | 14 | 1,292 |
import Mathlib.Data.Finset.Lattice
import Mathlib.Data.Set.Sigma
#align_import data.finset.sigma from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
open Function Multiset
variable {ι : Type*}
namespace Finset
section Sigma
variable {α : ι → Type*} {β : Type*} (s s₁ s₂ : Finset ι) (t t₁ t₂ : ∀ i, Finset (α i))
protected def sigma : Finset (Σi, α i) :=
⟨_, s.nodup.sigma fun i => (t i).nodup⟩
#align finset.sigma Finset.sigma
variable {s s₁ s₂ t t₁ t₂}
@[simp]
theorem mem_sigma {a : Σi, α i} : a ∈ s.sigma t ↔ a.1 ∈ s ∧ a.2 ∈ t a.1 :=
Multiset.mem_sigma
#align finset.mem_sigma Finset.mem_sigma
@[simp, norm_cast]
theorem coe_sigma (s : Finset ι) (t : ∀ i, Finset (α i)) :
(s.sigma t : Set (Σ i, α i)) = (s : Set ι).sigma fun i ↦ (t i : Set (α i)) :=
Set.ext fun _ => mem_sigma
#align finset.coe_sigma Finset.coe_sigma
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem sigma_nonempty : (s.sigma t).Nonempty ↔ ∃ i ∈ s, (t i).Nonempty := by simp [Finset.Nonempty]
#align finset.sigma_nonempty Finset.sigma_nonempty
@[simp]
| Mathlib/Data/Finset/Sigma.lean | 64 | 65 | theorem sigma_eq_empty : s.sigma t = ∅ ↔ ∀ i ∈ s, t i = ∅ := by |
simp only [← not_nonempty_iff_eq_empty, sigma_nonempty, not_exists, not_and]
| 1 | 2.718282 | 0 | 1.214286 | 14 | 1,292 |
import Mathlib.Data.Finset.Lattice
import Mathlib.Data.Set.Sigma
#align_import data.finset.sigma from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
open Function Multiset
variable {ι : Type*}
namespace Finset
section Sigma
variable {α : ι → Type*} {β : Type*} (s s₁ s₂ : Finset ι) (t t₁ t₂ : ∀ i, Finset (α i))
protected def sigma : Finset (Σi, α i) :=
⟨_, s.nodup.sigma fun i => (t i).nodup⟩
#align finset.sigma Finset.sigma
variable {s s₁ s₂ t t₁ t₂}
@[simp]
theorem mem_sigma {a : Σi, α i} : a ∈ s.sigma t ↔ a.1 ∈ s ∧ a.2 ∈ t a.1 :=
Multiset.mem_sigma
#align finset.mem_sigma Finset.mem_sigma
@[simp, norm_cast]
theorem coe_sigma (s : Finset ι) (t : ∀ i, Finset (α i)) :
(s.sigma t : Set (Σ i, α i)) = (s : Set ι).sigma fun i ↦ (t i : Set (α i)) :=
Set.ext fun _ => mem_sigma
#align finset.coe_sigma Finset.coe_sigma
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem sigma_nonempty : (s.sigma t).Nonempty ↔ ∃ i ∈ s, (t i).Nonempty := by simp [Finset.Nonempty]
#align finset.sigma_nonempty Finset.sigma_nonempty
@[simp]
theorem sigma_eq_empty : s.sigma t = ∅ ↔ ∀ i ∈ s, t i = ∅ := by
simp only [← not_nonempty_iff_eq_empty, sigma_nonempty, not_exists, not_and]
#align finset.sigma_eq_empty Finset.sigma_eq_empty
@[mono]
theorem sigma_mono (hs : s₁ ⊆ s₂) (ht : ∀ i, t₁ i ⊆ t₂ i) : s₁.sigma t₁ ⊆ s₂.sigma t₂ :=
fun ⟨i, _⟩ h =>
let ⟨hi, ha⟩ := mem_sigma.1 h
mem_sigma.2 ⟨hs hi, ht i ha⟩
#align finset.sigma_mono Finset.sigma_mono
| Mathlib/Data/Finset/Sigma.lean | 75 | 81 | theorem pairwiseDisjoint_map_sigmaMk :
(s : Set ι).PairwiseDisjoint fun i => (t i).map (Embedding.sigmaMk i) := by |
intro i _ j _ hij
rw [Function.onFun, disjoint_left]
simp_rw [mem_map, Function.Embedding.sigmaMk_apply]
rintro _ ⟨y, _, rfl⟩ ⟨z, _, hz'⟩
exact hij (congr_arg Sigma.fst hz'.symm)
| 5 | 148.413159 | 2 | 1.214286 | 14 | 1,292 |
import Mathlib.Data.Finset.Lattice
import Mathlib.Data.Set.Sigma
#align_import data.finset.sigma from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
open Function Multiset
variable {ι : Type*}
namespace Finset
section Sigma
variable {α : ι → Type*} {β : Type*} (s s₁ s₂ : Finset ι) (t t₁ t₂ : ∀ i, Finset (α i))
protected def sigma : Finset (Σi, α i) :=
⟨_, s.nodup.sigma fun i => (t i).nodup⟩
#align finset.sigma Finset.sigma
variable {s s₁ s₂ t t₁ t₂}
@[simp]
theorem mem_sigma {a : Σi, α i} : a ∈ s.sigma t ↔ a.1 ∈ s ∧ a.2 ∈ t a.1 :=
Multiset.mem_sigma
#align finset.mem_sigma Finset.mem_sigma
@[simp, norm_cast]
theorem coe_sigma (s : Finset ι) (t : ∀ i, Finset (α i)) :
(s.sigma t : Set (Σ i, α i)) = (s : Set ι).sigma fun i ↦ (t i : Set (α i)) :=
Set.ext fun _ => mem_sigma
#align finset.coe_sigma Finset.coe_sigma
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem sigma_nonempty : (s.sigma t).Nonempty ↔ ∃ i ∈ s, (t i).Nonempty := by simp [Finset.Nonempty]
#align finset.sigma_nonempty Finset.sigma_nonempty
@[simp]
theorem sigma_eq_empty : s.sigma t = ∅ ↔ ∀ i ∈ s, t i = ∅ := by
simp only [← not_nonempty_iff_eq_empty, sigma_nonempty, not_exists, not_and]
#align finset.sigma_eq_empty Finset.sigma_eq_empty
@[mono]
theorem sigma_mono (hs : s₁ ⊆ s₂) (ht : ∀ i, t₁ i ⊆ t₂ i) : s₁.sigma t₁ ⊆ s₂.sigma t₂ :=
fun ⟨i, _⟩ h =>
let ⟨hi, ha⟩ := mem_sigma.1 h
mem_sigma.2 ⟨hs hi, ht i ha⟩
#align finset.sigma_mono Finset.sigma_mono
theorem pairwiseDisjoint_map_sigmaMk :
(s : Set ι).PairwiseDisjoint fun i => (t i).map (Embedding.sigmaMk i) := by
intro i _ j _ hij
rw [Function.onFun, disjoint_left]
simp_rw [mem_map, Function.Embedding.sigmaMk_apply]
rintro _ ⟨y, _, rfl⟩ ⟨z, _, hz'⟩
exact hij (congr_arg Sigma.fst hz'.symm)
#align finset.pairwise_disjoint_map_sigma_mk Finset.pairwiseDisjoint_map_sigmaMk
@[simp]
theorem disjiUnion_map_sigma_mk :
s.disjiUnion (fun i => (t i).map (Embedding.sigmaMk i)) pairwiseDisjoint_map_sigmaMk =
s.sigma t :=
rfl
#align finset.disj_Union_map_sigma_mk Finset.disjiUnion_map_sigma_mk
| Mathlib/Data/Finset/Sigma.lean | 91 | 94 | theorem sigma_eq_biUnion [DecidableEq (Σi, α i)] (s : Finset ι) (t : ∀ i, Finset (α i)) :
s.sigma t = s.biUnion fun i => (t i).map <| Embedding.sigmaMk i := by |
ext ⟨x, y⟩
simp [and_left_comm]
| 2 | 7.389056 | 1 | 1.214286 | 14 | 1,292 |
import Mathlib.Data.Finset.Lattice
import Mathlib.Data.Set.Sigma
#align_import data.finset.sigma from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
open Function Multiset
variable {ι : Type*}
namespace Finset
section Sigma
variable {α : ι → Type*} {β : Type*} (s s₁ s₂ : Finset ι) (t t₁ t₂ : ∀ i, Finset (α i))
protected def sigma : Finset (Σi, α i) :=
⟨_, s.nodup.sigma fun i => (t i).nodup⟩
#align finset.sigma Finset.sigma
variable {s s₁ s₂ t t₁ t₂}
@[simp]
theorem mem_sigma {a : Σi, α i} : a ∈ s.sigma t ↔ a.1 ∈ s ∧ a.2 ∈ t a.1 :=
Multiset.mem_sigma
#align finset.mem_sigma Finset.mem_sigma
@[simp, norm_cast]
theorem coe_sigma (s : Finset ι) (t : ∀ i, Finset (α i)) :
(s.sigma t : Set (Σ i, α i)) = (s : Set ι).sigma fun i ↦ (t i : Set (α i)) :=
Set.ext fun _ => mem_sigma
#align finset.coe_sigma Finset.coe_sigma
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem sigma_nonempty : (s.sigma t).Nonempty ↔ ∃ i ∈ s, (t i).Nonempty := by simp [Finset.Nonempty]
#align finset.sigma_nonempty Finset.sigma_nonempty
@[simp]
theorem sigma_eq_empty : s.sigma t = ∅ ↔ ∀ i ∈ s, t i = ∅ := by
simp only [← not_nonempty_iff_eq_empty, sigma_nonempty, not_exists, not_and]
#align finset.sigma_eq_empty Finset.sigma_eq_empty
@[mono]
theorem sigma_mono (hs : s₁ ⊆ s₂) (ht : ∀ i, t₁ i ⊆ t₂ i) : s₁.sigma t₁ ⊆ s₂.sigma t₂ :=
fun ⟨i, _⟩ h =>
let ⟨hi, ha⟩ := mem_sigma.1 h
mem_sigma.2 ⟨hs hi, ht i ha⟩
#align finset.sigma_mono Finset.sigma_mono
theorem pairwiseDisjoint_map_sigmaMk :
(s : Set ι).PairwiseDisjoint fun i => (t i).map (Embedding.sigmaMk i) := by
intro i _ j _ hij
rw [Function.onFun, disjoint_left]
simp_rw [mem_map, Function.Embedding.sigmaMk_apply]
rintro _ ⟨y, _, rfl⟩ ⟨z, _, hz'⟩
exact hij (congr_arg Sigma.fst hz'.symm)
#align finset.pairwise_disjoint_map_sigma_mk Finset.pairwiseDisjoint_map_sigmaMk
@[simp]
theorem disjiUnion_map_sigma_mk :
s.disjiUnion (fun i => (t i).map (Embedding.sigmaMk i)) pairwiseDisjoint_map_sigmaMk =
s.sigma t :=
rfl
#align finset.disj_Union_map_sigma_mk Finset.disjiUnion_map_sigma_mk
theorem sigma_eq_biUnion [DecidableEq (Σi, α i)] (s : Finset ι) (t : ∀ i, Finset (α i)) :
s.sigma t = s.biUnion fun i => (t i).map <| Embedding.sigmaMk i := by
ext ⟨x, y⟩
simp [and_left_comm]
#align finset.sigma_eq_bUnion Finset.sigma_eq_biUnion
variable (s t) (f : (Σi, α i) → β)
| Mathlib/Data/Finset/Sigma.lean | 99 | 104 | theorem sup_sigma [SemilatticeSup β] [OrderBot β] :
(s.sigma t).sup f = s.sup fun i => (t i).sup fun b => f ⟨i, b⟩ := by |
simp only [le_antisymm_iff, Finset.sup_le_iff, mem_sigma, and_imp, Sigma.forall]
exact
⟨fun i a hi ha => (le_sup hi).trans' <| le_sup (f := fun a => f ⟨i, a⟩) ha, fun i hi a ha =>
le_sup <| mem_sigma.2 ⟨hi, ha⟩⟩
| 4 | 54.59815 | 2 | 1.214286 | 14 | 1,292 |
import Mathlib.Data.Finset.Lattice
import Mathlib.Data.Set.Sigma
#align_import data.finset.sigma from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
open Function Multiset
variable {ι : Type*}
namespace Finset
section Sigma
variable {α : ι → Type*} {β : Type*} (s s₁ s₂ : Finset ι) (t t₁ t₂ : ∀ i, Finset (α i))
protected def sigma : Finset (Σi, α i) :=
⟨_, s.nodup.sigma fun i => (t i).nodup⟩
#align finset.sigma Finset.sigma
variable {s s₁ s₂ t t₁ t₂}
@[simp]
theorem mem_sigma {a : Σi, α i} : a ∈ s.sigma t ↔ a.1 ∈ s ∧ a.2 ∈ t a.1 :=
Multiset.mem_sigma
#align finset.mem_sigma Finset.mem_sigma
@[simp, norm_cast]
theorem coe_sigma (s : Finset ι) (t : ∀ i, Finset (α i)) :
(s.sigma t : Set (Σ i, α i)) = (s : Set ι).sigma fun i ↦ (t i : Set (α i)) :=
Set.ext fun _ => mem_sigma
#align finset.coe_sigma Finset.coe_sigma
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem sigma_nonempty : (s.sigma t).Nonempty ↔ ∃ i ∈ s, (t i).Nonempty := by simp [Finset.Nonempty]
#align finset.sigma_nonempty Finset.sigma_nonempty
@[simp]
theorem sigma_eq_empty : s.sigma t = ∅ ↔ ∀ i ∈ s, t i = ∅ := by
simp only [← not_nonempty_iff_eq_empty, sigma_nonempty, not_exists, not_and]
#align finset.sigma_eq_empty Finset.sigma_eq_empty
@[mono]
theorem sigma_mono (hs : s₁ ⊆ s₂) (ht : ∀ i, t₁ i ⊆ t₂ i) : s₁.sigma t₁ ⊆ s₂.sigma t₂ :=
fun ⟨i, _⟩ h =>
let ⟨hi, ha⟩ := mem_sigma.1 h
mem_sigma.2 ⟨hs hi, ht i ha⟩
#align finset.sigma_mono Finset.sigma_mono
theorem pairwiseDisjoint_map_sigmaMk :
(s : Set ι).PairwiseDisjoint fun i => (t i).map (Embedding.sigmaMk i) := by
intro i _ j _ hij
rw [Function.onFun, disjoint_left]
simp_rw [mem_map, Function.Embedding.sigmaMk_apply]
rintro _ ⟨y, _, rfl⟩ ⟨z, _, hz'⟩
exact hij (congr_arg Sigma.fst hz'.symm)
#align finset.pairwise_disjoint_map_sigma_mk Finset.pairwiseDisjoint_map_sigmaMk
@[simp]
theorem disjiUnion_map_sigma_mk :
s.disjiUnion (fun i => (t i).map (Embedding.sigmaMk i)) pairwiseDisjoint_map_sigmaMk =
s.sigma t :=
rfl
#align finset.disj_Union_map_sigma_mk Finset.disjiUnion_map_sigma_mk
theorem sigma_eq_biUnion [DecidableEq (Σi, α i)] (s : Finset ι) (t : ∀ i, Finset (α i)) :
s.sigma t = s.biUnion fun i => (t i).map <| Embedding.sigmaMk i := by
ext ⟨x, y⟩
simp [and_left_comm]
#align finset.sigma_eq_bUnion Finset.sigma_eq_biUnion
variable (s t) (f : (Σi, α i) → β)
theorem sup_sigma [SemilatticeSup β] [OrderBot β] :
(s.sigma t).sup f = s.sup fun i => (t i).sup fun b => f ⟨i, b⟩ := by
simp only [le_antisymm_iff, Finset.sup_le_iff, mem_sigma, and_imp, Sigma.forall]
exact
⟨fun i a hi ha => (le_sup hi).trans' <| le_sup (f := fun a => f ⟨i, a⟩) ha, fun i hi a ha =>
le_sup <| mem_sigma.2 ⟨hi, ha⟩⟩
#align finset.sup_sigma Finset.sup_sigma
theorem inf_sigma [SemilatticeInf β] [OrderTop β] :
(s.sigma t).inf f = s.inf fun i => (t i).inf fun b => f ⟨i, b⟩ :=
@sup_sigma _ _ βᵒᵈ _ _ _ _ _
#align finset.inf_sigma Finset.inf_sigma
| Mathlib/Data/Finset/Sigma.lean | 112 | 114 | theorem _root_.biSup_finsetSigma [CompleteLattice β] (s : Finset ι) (t : ∀ i, Finset (α i))
(f : Sigma α → β) : ⨆ ij ∈ s.sigma t, f ij = ⨆ (i ∈ s) (j ∈ t i), f ⟨i, j⟩ := by |
simp_rw [← Finset.iSup_coe, Finset.coe_sigma, biSup_sigma]
| 1 | 2.718282 | 0 | 1.214286 | 14 | 1,292 |
import Mathlib.Data.Finset.Lattice
import Mathlib.Data.Set.Sigma
#align_import data.finset.sigma from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
open Function Multiset
variable {ι : Type*}
namespace Finset
section SigmaLift
variable {α β γ : ι → Type*} [DecidableEq ι]
def sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β) :
Finset (Sigma γ) :=
dite (a.1 = b.1) (fun h => (f (h ▸ a.2) b.2).map <| Embedding.sigmaMk _) fun _ => ∅
#align finset.sigma_lift Finset.sigmaLift
| Mathlib/Data/Finset/Sigma.lean | 156 | 173 | theorem mem_sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β)
(x : Sigma γ) :
x ∈ sigmaLift f a b ↔ ∃ (ha : a.1 = x.1) (hb : b.1 = x.1), x.2 ∈ f (ha ▸ a.2) (hb ▸ b.2) := by |
obtain ⟨⟨i, a⟩, j, b⟩ := a, b
obtain rfl | h := Decidable.eq_or_ne i j
· constructor
· simp_rw [sigmaLift]
simp only [dite_eq_ite, ite_true, mem_map, Embedding.sigmaMk_apply, forall_exists_index,
and_imp]
rintro x hx rfl
exact ⟨rfl, rfl, hx⟩
· rintro ⟨⟨⟩, ⟨⟩, hx⟩
rw [sigmaLift, dif_pos rfl, mem_map]
exact ⟨_, hx, by simp [Sigma.ext_iff]⟩
· rw [sigmaLift, dif_neg h]
refine iff_of_false (not_mem_empty _) ?_
rintro ⟨⟨⟩, ⟨⟩, _⟩
exact h rfl
| 15 | 3,269,017.372472 | 2 | 1.214286 | 14 | 1,292 |
import Mathlib.Data.Finset.Lattice
import Mathlib.Data.Set.Sigma
#align_import data.finset.sigma from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
open Function Multiset
variable {ι : Type*}
namespace Finset
section SigmaLift
variable {α β γ : ι → Type*} [DecidableEq ι]
def sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β) :
Finset (Sigma γ) :=
dite (a.1 = b.1) (fun h => (f (h ▸ a.2) b.2).map <| Embedding.sigmaMk _) fun _ => ∅
#align finset.sigma_lift Finset.sigmaLift
theorem mem_sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β)
(x : Sigma γ) :
x ∈ sigmaLift f a b ↔ ∃ (ha : a.1 = x.1) (hb : b.1 = x.1), x.2 ∈ f (ha ▸ a.2) (hb ▸ b.2) := by
obtain ⟨⟨i, a⟩, j, b⟩ := a, b
obtain rfl | h := Decidable.eq_or_ne i j
· constructor
· simp_rw [sigmaLift]
simp only [dite_eq_ite, ite_true, mem_map, Embedding.sigmaMk_apply, forall_exists_index,
and_imp]
rintro x hx rfl
exact ⟨rfl, rfl, hx⟩
· rintro ⟨⟨⟩, ⟨⟩, hx⟩
rw [sigmaLift, dif_pos rfl, mem_map]
exact ⟨_, hx, by simp [Sigma.ext_iff]⟩
· rw [sigmaLift, dif_neg h]
refine iff_of_false (not_mem_empty _) ?_
rintro ⟨⟨⟩, ⟨⟩, _⟩
exact h rfl
#align finset.mem_sigma_lift Finset.mem_sigmaLift
| Mathlib/Data/Finset/Sigma.lean | 176 | 181 | theorem mk_mem_sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (i : ι) (a : α i) (b : β i)
(x : γ i) : (⟨i, x⟩ : Sigma γ) ∈ sigmaLift f ⟨i, a⟩ ⟨i, b⟩ ↔ x ∈ f a b := by |
rw [sigmaLift, dif_pos rfl, mem_map]
refine ⟨?_, fun hx => ⟨_, hx, rfl⟩⟩
rintro ⟨x, hx, _, rfl⟩
exact hx
| 4 | 54.59815 | 2 | 1.214286 | 14 | 1,292 |
import Mathlib.Data.Finset.Lattice
import Mathlib.Data.Set.Sigma
#align_import data.finset.sigma from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
open Function Multiset
variable {ι : Type*}
namespace Finset
section SigmaLift
variable {α β γ : ι → Type*} [DecidableEq ι]
def sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β) :
Finset (Sigma γ) :=
dite (a.1 = b.1) (fun h => (f (h ▸ a.2) b.2).map <| Embedding.sigmaMk _) fun _ => ∅
#align finset.sigma_lift Finset.sigmaLift
theorem mem_sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β)
(x : Sigma γ) :
x ∈ sigmaLift f a b ↔ ∃ (ha : a.1 = x.1) (hb : b.1 = x.1), x.2 ∈ f (ha ▸ a.2) (hb ▸ b.2) := by
obtain ⟨⟨i, a⟩, j, b⟩ := a, b
obtain rfl | h := Decidable.eq_or_ne i j
· constructor
· simp_rw [sigmaLift]
simp only [dite_eq_ite, ite_true, mem_map, Embedding.sigmaMk_apply, forall_exists_index,
and_imp]
rintro x hx rfl
exact ⟨rfl, rfl, hx⟩
· rintro ⟨⟨⟩, ⟨⟩, hx⟩
rw [sigmaLift, dif_pos rfl, mem_map]
exact ⟨_, hx, by simp [Sigma.ext_iff]⟩
· rw [sigmaLift, dif_neg h]
refine iff_of_false (not_mem_empty _) ?_
rintro ⟨⟨⟩, ⟨⟩, _⟩
exact h rfl
#align finset.mem_sigma_lift Finset.mem_sigmaLift
theorem mk_mem_sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (i : ι) (a : α i) (b : β i)
(x : γ i) : (⟨i, x⟩ : Sigma γ) ∈ sigmaLift f ⟨i, a⟩ ⟨i, b⟩ ↔ x ∈ f a b := by
rw [sigmaLift, dif_pos rfl, mem_map]
refine ⟨?_, fun hx => ⟨_, hx, rfl⟩⟩
rintro ⟨x, hx, _, rfl⟩
exact hx
#align finset.mk_mem_sigma_lift Finset.mk_mem_sigmaLift
| Mathlib/Data/Finset/Sigma.lean | 184 | 187 | theorem not_mem_sigmaLift_of_ne_left (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α)
(b : Sigma β) (x : Sigma γ) (h : a.1 ≠ x.1) : x ∉ sigmaLift f a b := by |
rw [mem_sigmaLift]
exact fun H => h H.fst
| 2 | 7.389056 | 1 | 1.214286 | 14 | 1,292 |
import Mathlib.Data.Finset.Lattice
import Mathlib.Data.Set.Sigma
#align_import data.finset.sigma from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
open Function Multiset
variable {ι : Type*}
namespace Finset
section SigmaLift
variable {α β γ : ι → Type*} [DecidableEq ι]
def sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β) :
Finset (Sigma γ) :=
dite (a.1 = b.1) (fun h => (f (h ▸ a.2) b.2).map <| Embedding.sigmaMk _) fun _ => ∅
#align finset.sigma_lift Finset.sigmaLift
theorem mem_sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β)
(x : Sigma γ) :
x ∈ sigmaLift f a b ↔ ∃ (ha : a.1 = x.1) (hb : b.1 = x.1), x.2 ∈ f (ha ▸ a.2) (hb ▸ b.2) := by
obtain ⟨⟨i, a⟩, j, b⟩ := a, b
obtain rfl | h := Decidable.eq_or_ne i j
· constructor
· simp_rw [sigmaLift]
simp only [dite_eq_ite, ite_true, mem_map, Embedding.sigmaMk_apply, forall_exists_index,
and_imp]
rintro x hx rfl
exact ⟨rfl, rfl, hx⟩
· rintro ⟨⟨⟩, ⟨⟩, hx⟩
rw [sigmaLift, dif_pos rfl, mem_map]
exact ⟨_, hx, by simp [Sigma.ext_iff]⟩
· rw [sigmaLift, dif_neg h]
refine iff_of_false (not_mem_empty _) ?_
rintro ⟨⟨⟩, ⟨⟩, _⟩
exact h rfl
#align finset.mem_sigma_lift Finset.mem_sigmaLift
theorem mk_mem_sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (i : ι) (a : α i) (b : β i)
(x : γ i) : (⟨i, x⟩ : Sigma γ) ∈ sigmaLift f ⟨i, a⟩ ⟨i, b⟩ ↔ x ∈ f a b := by
rw [sigmaLift, dif_pos rfl, mem_map]
refine ⟨?_, fun hx => ⟨_, hx, rfl⟩⟩
rintro ⟨x, hx, _, rfl⟩
exact hx
#align finset.mk_mem_sigma_lift Finset.mk_mem_sigmaLift
theorem not_mem_sigmaLift_of_ne_left (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α)
(b : Sigma β) (x : Sigma γ) (h : a.1 ≠ x.1) : x ∉ sigmaLift f a b := by
rw [mem_sigmaLift]
exact fun H => h H.fst
#align finset.not_mem_sigma_lift_of_ne_left Finset.not_mem_sigmaLift_of_ne_left
| Mathlib/Data/Finset/Sigma.lean | 190 | 193 | theorem not_mem_sigmaLift_of_ne_right (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) {a : Sigma α}
(b : Sigma β) {x : Sigma γ} (h : b.1 ≠ x.1) : x ∉ sigmaLift f a b := by |
rw [mem_sigmaLift]
exact fun H => h H.snd.fst
| 2 | 7.389056 | 1 | 1.214286 | 14 | 1,292 |
import Mathlib.Data.Finset.Lattice
import Mathlib.Data.Set.Sigma
#align_import data.finset.sigma from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
open Function Multiset
variable {ι : Type*}
namespace Finset
section SigmaLift
variable {α β γ : ι → Type*} [DecidableEq ι]
def sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β) :
Finset (Sigma γ) :=
dite (a.1 = b.1) (fun h => (f (h ▸ a.2) b.2).map <| Embedding.sigmaMk _) fun _ => ∅
#align finset.sigma_lift Finset.sigmaLift
theorem mem_sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β)
(x : Sigma γ) :
x ∈ sigmaLift f a b ↔ ∃ (ha : a.1 = x.1) (hb : b.1 = x.1), x.2 ∈ f (ha ▸ a.2) (hb ▸ b.2) := by
obtain ⟨⟨i, a⟩, j, b⟩ := a, b
obtain rfl | h := Decidable.eq_or_ne i j
· constructor
· simp_rw [sigmaLift]
simp only [dite_eq_ite, ite_true, mem_map, Embedding.sigmaMk_apply, forall_exists_index,
and_imp]
rintro x hx rfl
exact ⟨rfl, rfl, hx⟩
· rintro ⟨⟨⟩, ⟨⟩, hx⟩
rw [sigmaLift, dif_pos rfl, mem_map]
exact ⟨_, hx, by simp [Sigma.ext_iff]⟩
· rw [sigmaLift, dif_neg h]
refine iff_of_false (not_mem_empty _) ?_
rintro ⟨⟨⟩, ⟨⟩, _⟩
exact h rfl
#align finset.mem_sigma_lift Finset.mem_sigmaLift
theorem mk_mem_sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (i : ι) (a : α i) (b : β i)
(x : γ i) : (⟨i, x⟩ : Sigma γ) ∈ sigmaLift f ⟨i, a⟩ ⟨i, b⟩ ↔ x ∈ f a b := by
rw [sigmaLift, dif_pos rfl, mem_map]
refine ⟨?_, fun hx => ⟨_, hx, rfl⟩⟩
rintro ⟨x, hx, _, rfl⟩
exact hx
#align finset.mk_mem_sigma_lift Finset.mk_mem_sigmaLift
theorem not_mem_sigmaLift_of_ne_left (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α)
(b : Sigma β) (x : Sigma γ) (h : a.1 ≠ x.1) : x ∉ sigmaLift f a b := by
rw [mem_sigmaLift]
exact fun H => h H.fst
#align finset.not_mem_sigma_lift_of_ne_left Finset.not_mem_sigmaLift_of_ne_left
theorem not_mem_sigmaLift_of_ne_right (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) {a : Sigma α}
(b : Sigma β) {x : Sigma γ} (h : b.1 ≠ x.1) : x ∉ sigmaLift f a b := by
rw [mem_sigmaLift]
exact fun H => h H.snd.fst
#align finset.not_mem_sigma_lift_of_ne_right Finset.not_mem_sigmaLift_of_ne_right
variable {f g : ∀ ⦃i⦄, α i → β i → Finset (γ i)} {a : Σi, α i} {b : Σi, β i}
| Mathlib/Data/Finset/Sigma.lean | 198 | 201 | theorem sigmaLift_nonempty :
(sigmaLift f a b).Nonempty ↔ ∃ h : a.1 = b.1, (f (h ▸ a.2) b.2).Nonempty := by |
simp_rw [nonempty_iff_ne_empty, sigmaLift]
split_ifs with h <;> simp [h]
| 2 | 7.389056 | 1 | 1.214286 | 14 | 1,292 |
import Mathlib.Data.Finset.Lattice
import Mathlib.Data.Set.Sigma
#align_import data.finset.sigma from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
open Function Multiset
variable {ι : Type*}
namespace Finset
section SigmaLift
variable {α β γ : ι → Type*} [DecidableEq ι]
def sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β) :
Finset (Sigma γ) :=
dite (a.1 = b.1) (fun h => (f (h ▸ a.2) b.2).map <| Embedding.sigmaMk _) fun _ => ∅
#align finset.sigma_lift Finset.sigmaLift
theorem mem_sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β)
(x : Sigma γ) :
x ∈ sigmaLift f a b ↔ ∃ (ha : a.1 = x.1) (hb : b.1 = x.1), x.2 ∈ f (ha ▸ a.2) (hb ▸ b.2) := by
obtain ⟨⟨i, a⟩, j, b⟩ := a, b
obtain rfl | h := Decidable.eq_or_ne i j
· constructor
· simp_rw [sigmaLift]
simp only [dite_eq_ite, ite_true, mem_map, Embedding.sigmaMk_apply, forall_exists_index,
and_imp]
rintro x hx rfl
exact ⟨rfl, rfl, hx⟩
· rintro ⟨⟨⟩, ⟨⟩, hx⟩
rw [sigmaLift, dif_pos rfl, mem_map]
exact ⟨_, hx, by simp [Sigma.ext_iff]⟩
· rw [sigmaLift, dif_neg h]
refine iff_of_false (not_mem_empty _) ?_
rintro ⟨⟨⟩, ⟨⟩, _⟩
exact h rfl
#align finset.mem_sigma_lift Finset.mem_sigmaLift
theorem mk_mem_sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (i : ι) (a : α i) (b : β i)
(x : γ i) : (⟨i, x⟩ : Sigma γ) ∈ sigmaLift f ⟨i, a⟩ ⟨i, b⟩ ↔ x ∈ f a b := by
rw [sigmaLift, dif_pos rfl, mem_map]
refine ⟨?_, fun hx => ⟨_, hx, rfl⟩⟩
rintro ⟨x, hx, _, rfl⟩
exact hx
#align finset.mk_mem_sigma_lift Finset.mk_mem_sigmaLift
theorem not_mem_sigmaLift_of_ne_left (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α)
(b : Sigma β) (x : Sigma γ) (h : a.1 ≠ x.1) : x ∉ sigmaLift f a b := by
rw [mem_sigmaLift]
exact fun H => h H.fst
#align finset.not_mem_sigma_lift_of_ne_left Finset.not_mem_sigmaLift_of_ne_left
theorem not_mem_sigmaLift_of_ne_right (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) {a : Sigma α}
(b : Sigma β) {x : Sigma γ} (h : b.1 ≠ x.1) : x ∉ sigmaLift f a b := by
rw [mem_sigmaLift]
exact fun H => h H.snd.fst
#align finset.not_mem_sigma_lift_of_ne_right Finset.not_mem_sigmaLift_of_ne_right
variable {f g : ∀ ⦃i⦄, α i → β i → Finset (γ i)} {a : Σi, α i} {b : Σi, β i}
theorem sigmaLift_nonempty :
(sigmaLift f a b).Nonempty ↔ ∃ h : a.1 = b.1, (f (h ▸ a.2) b.2).Nonempty := by
simp_rw [nonempty_iff_ne_empty, sigmaLift]
split_ifs with h <;> simp [h]
#align finset.sigma_lift_nonempty Finset.sigmaLift_nonempty
| Mathlib/Data/Finset/Sigma.lean | 204 | 208 | theorem sigmaLift_eq_empty : sigmaLift f a b = ∅ ↔ ∀ h : a.1 = b.1, f (h ▸ a.2) b.2 = ∅ := by |
simp_rw [sigmaLift]
split_ifs with h
· simp [h, forall_prop_of_true h]
· simp [h, forall_prop_of_false h]
| 4 | 54.59815 | 2 | 1.214286 | 14 | 1,292 |
import Mathlib.Data.Finset.Lattice
import Mathlib.Data.Set.Sigma
#align_import data.finset.sigma from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
open Function Multiset
variable {ι : Type*}
namespace Finset
section SigmaLift
variable {α β γ : ι → Type*} [DecidableEq ι]
def sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β) :
Finset (Sigma γ) :=
dite (a.1 = b.1) (fun h => (f (h ▸ a.2) b.2).map <| Embedding.sigmaMk _) fun _ => ∅
#align finset.sigma_lift Finset.sigmaLift
theorem mem_sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β)
(x : Sigma γ) :
x ∈ sigmaLift f a b ↔ ∃ (ha : a.1 = x.1) (hb : b.1 = x.1), x.2 ∈ f (ha ▸ a.2) (hb ▸ b.2) := by
obtain ⟨⟨i, a⟩, j, b⟩ := a, b
obtain rfl | h := Decidable.eq_or_ne i j
· constructor
· simp_rw [sigmaLift]
simp only [dite_eq_ite, ite_true, mem_map, Embedding.sigmaMk_apply, forall_exists_index,
and_imp]
rintro x hx rfl
exact ⟨rfl, rfl, hx⟩
· rintro ⟨⟨⟩, ⟨⟩, hx⟩
rw [sigmaLift, dif_pos rfl, mem_map]
exact ⟨_, hx, by simp [Sigma.ext_iff]⟩
· rw [sigmaLift, dif_neg h]
refine iff_of_false (not_mem_empty _) ?_
rintro ⟨⟨⟩, ⟨⟩, _⟩
exact h rfl
#align finset.mem_sigma_lift Finset.mem_sigmaLift
theorem mk_mem_sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (i : ι) (a : α i) (b : β i)
(x : γ i) : (⟨i, x⟩ : Sigma γ) ∈ sigmaLift f ⟨i, a⟩ ⟨i, b⟩ ↔ x ∈ f a b := by
rw [sigmaLift, dif_pos rfl, mem_map]
refine ⟨?_, fun hx => ⟨_, hx, rfl⟩⟩
rintro ⟨x, hx, _, rfl⟩
exact hx
#align finset.mk_mem_sigma_lift Finset.mk_mem_sigmaLift
theorem not_mem_sigmaLift_of_ne_left (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α)
(b : Sigma β) (x : Sigma γ) (h : a.1 ≠ x.1) : x ∉ sigmaLift f a b := by
rw [mem_sigmaLift]
exact fun H => h H.fst
#align finset.not_mem_sigma_lift_of_ne_left Finset.not_mem_sigmaLift_of_ne_left
theorem not_mem_sigmaLift_of_ne_right (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) {a : Sigma α}
(b : Sigma β) {x : Sigma γ} (h : b.1 ≠ x.1) : x ∉ sigmaLift f a b := by
rw [mem_sigmaLift]
exact fun H => h H.snd.fst
#align finset.not_mem_sigma_lift_of_ne_right Finset.not_mem_sigmaLift_of_ne_right
variable {f g : ∀ ⦃i⦄, α i → β i → Finset (γ i)} {a : Σi, α i} {b : Σi, β i}
theorem sigmaLift_nonempty :
(sigmaLift f a b).Nonempty ↔ ∃ h : a.1 = b.1, (f (h ▸ a.2) b.2).Nonempty := by
simp_rw [nonempty_iff_ne_empty, sigmaLift]
split_ifs with h <;> simp [h]
#align finset.sigma_lift_nonempty Finset.sigmaLift_nonempty
theorem sigmaLift_eq_empty : sigmaLift f a b = ∅ ↔ ∀ h : a.1 = b.1, f (h ▸ a.2) b.2 = ∅ := by
simp_rw [sigmaLift]
split_ifs with h
· simp [h, forall_prop_of_true h]
· simp [h, forall_prop_of_false h]
#align finset.sigma_lift_eq_empty Finset.sigmaLift_eq_empty
| Mathlib/Data/Finset/Sigma.lean | 211 | 216 | theorem sigmaLift_mono (h : ∀ ⦃i⦄ ⦃a : α i⦄ ⦃b : β i⦄, f a b ⊆ g a b) (a : Σi, α i) (b : Σi, β i) :
sigmaLift f a b ⊆ sigmaLift g a b := by |
rintro x hx
rw [mem_sigmaLift] at hx ⊢
obtain ⟨ha, hb, hx⟩ := hx
exact ⟨ha, hb, h hx⟩
| 4 | 54.59815 | 2 | 1.214286 | 14 | 1,292 |
import Mathlib.Data.Finset.Lattice
import Mathlib.Data.Set.Sigma
#align_import data.finset.sigma from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
open Function Multiset
variable {ι : Type*}
namespace Finset
section SigmaLift
variable {α β γ : ι → Type*} [DecidableEq ι]
def sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β) :
Finset (Sigma γ) :=
dite (a.1 = b.1) (fun h => (f (h ▸ a.2) b.2).map <| Embedding.sigmaMk _) fun _ => ∅
#align finset.sigma_lift Finset.sigmaLift
theorem mem_sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β)
(x : Sigma γ) :
x ∈ sigmaLift f a b ↔ ∃ (ha : a.1 = x.1) (hb : b.1 = x.1), x.2 ∈ f (ha ▸ a.2) (hb ▸ b.2) := by
obtain ⟨⟨i, a⟩, j, b⟩ := a, b
obtain rfl | h := Decidable.eq_or_ne i j
· constructor
· simp_rw [sigmaLift]
simp only [dite_eq_ite, ite_true, mem_map, Embedding.sigmaMk_apply, forall_exists_index,
and_imp]
rintro x hx rfl
exact ⟨rfl, rfl, hx⟩
· rintro ⟨⟨⟩, ⟨⟩, hx⟩
rw [sigmaLift, dif_pos rfl, mem_map]
exact ⟨_, hx, by simp [Sigma.ext_iff]⟩
· rw [sigmaLift, dif_neg h]
refine iff_of_false (not_mem_empty _) ?_
rintro ⟨⟨⟩, ⟨⟩, _⟩
exact h rfl
#align finset.mem_sigma_lift Finset.mem_sigmaLift
theorem mk_mem_sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (i : ι) (a : α i) (b : β i)
(x : γ i) : (⟨i, x⟩ : Sigma γ) ∈ sigmaLift f ⟨i, a⟩ ⟨i, b⟩ ↔ x ∈ f a b := by
rw [sigmaLift, dif_pos rfl, mem_map]
refine ⟨?_, fun hx => ⟨_, hx, rfl⟩⟩
rintro ⟨x, hx, _, rfl⟩
exact hx
#align finset.mk_mem_sigma_lift Finset.mk_mem_sigmaLift
theorem not_mem_sigmaLift_of_ne_left (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α)
(b : Sigma β) (x : Sigma γ) (h : a.1 ≠ x.1) : x ∉ sigmaLift f a b := by
rw [mem_sigmaLift]
exact fun H => h H.fst
#align finset.not_mem_sigma_lift_of_ne_left Finset.not_mem_sigmaLift_of_ne_left
theorem not_mem_sigmaLift_of_ne_right (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) {a : Sigma α}
(b : Sigma β) {x : Sigma γ} (h : b.1 ≠ x.1) : x ∉ sigmaLift f a b := by
rw [mem_sigmaLift]
exact fun H => h H.snd.fst
#align finset.not_mem_sigma_lift_of_ne_right Finset.not_mem_sigmaLift_of_ne_right
variable {f g : ∀ ⦃i⦄, α i → β i → Finset (γ i)} {a : Σi, α i} {b : Σi, β i}
theorem sigmaLift_nonempty :
(sigmaLift f a b).Nonempty ↔ ∃ h : a.1 = b.1, (f (h ▸ a.2) b.2).Nonempty := by
simp_rw [nonempty_iff_ne_empty, sigmaLift]
split_ifs with h <;> simp [h]
#align finset.sigma_lift_nonempty Finset.sigmaLift_nonempty
theorem sigmaLift_eq_empty : sigmaLift f a b = ∅ ↔ ∀ h : a.1 = b.1, f (h ▸ a.2) b.2 = ∅ := by
simp_rw [sigmaLift]
split_ifs with h
· simp [h, forall_prop_of_true h]
· simp [h, forall_prop_of_false h]
#align finset.sigma_lift_eq_empty Finset.sigmaLift_eq_empty
theorem sigmaLift_mono (h : ∀ ⦃i⦄ ⦃a : α i⦄ ⦃b : β i⦄, f a b ⊆ g a b) (a : Σi, α i) (b : Σi, β i) :
sigmaLift f a b ⊆ sigmaLift g a b := by
rintro x hx
rw [mem_sigmaLift] at hx ⊢
obtain ⟨ha, hb, hx⟩ := hx
exact ⟨ha, hb, h hx⟩
#align finset.sigma_lift_mono Finset.sigmaLift_mono
variable (f a b)
| Mathlib/Data/Finset/Sigma.lean | 221 | 224 | theorem card_sigmaLift :
(sigmaLift f a b).card = dite (a.1 = b.1) (fun h => (f (h ▸ a.2) b.2).card) fun _ => 0 := by |
simp_rw [sigmaLift]
split_ifs with h <;> simp [h]
| 2 | 7.389056 | 1 | 1.214286 | 14 | 1,292 |
import Mathlib.Algebra.CharP.Invertible
import Mathlib.Algebra.Order.Invertible
import Mathlib.Algebra.Order.Module.OrderedSMul
import Mathlib.Algebra.Order.Group.Instances
import Mathlib.LinearAlgebra.AffineSpace.Slope
import Mathlib.LinearAlgebra.AffineSpace.Midpoint
import Mathlib.Tactic.FieldSimp
#align_import linear_algebra.affine_space.ordered from "leanprover-community/mathlib"@"78261225eb5cedc61c5c74ecb44e5b385d13b733"
open AffineMap
variable {k E PE : Type*}
section OrderedRing
variable [OrderedRing k] [OrderedAddCommGroup E] [Module k E] [OrderedSMul k E]
variable {a a' b b' : E} {r r' : k}
| Mathlib/LinearAlgebra/AffineSpace/Ordered.lean | 52 | 54 | theorem lineMap_mono_left (ha : a ≤ a') (hr : r ≤ 1) : lineMap a b r ≤ lineMap a' b r := by |
simp only [lineMap_apply_module]
exact add_le_add_right (smul_le_smul_of_nonneg_left ha (sub_nonneg.2 hr)) _
| 2 | 7.389056 | 1 | 1.222222 | 9 | 1,293 |
import Mathlib.Algebra.CharP.Invertible
import Mathlib.Algebra.Order.Invertible
import Mathlib.Algebra.Order.Module.OrderedSMul
import Mathlib.Algebra.Order.Group.Instances
import Mathlib.LinearAlgebra.AffineSpace.Slope
import Mathlib.LinearAlgebra.AffineSpace.Midpoint
import Mathlib.Tactic.FieldSimp
#align_import linear_algebra.affine_space.ordered from "leanprover-community/mathlib"@"78261225eb5cedc61c5c74ecb44e5b385d13b733"
open AffineMap
variable {k E PE : Type*}
section OrderedRing
variable [OrderedRing k] [OrderedAddCommGroup E] [Module k E] [OrderedSMul k E]
variable {a a' b b' : E} {r r' : k}
theorem lineMap_mono_left (ha : a ≤ a') (hr : r ≤ 1) : lineMap a b r ≤ lineMap a' b r := by
simp only [lineMap_apply_module]
exact add_le_add_right (smul_le_smul_of_nonneg_left ha (sub_nonneg.2 hr)) _
#align line_map_mono_left lineMap_mono_left
| Mathlib/LinearAlgebra/AffineSpace/Ordered.lean | 57 | 59 | theorem lineMap_strict_mono_left (ha : a < a') (hr : r < 1) : lineMap a b r < lineMap a' b r := by |
simp only [lineMap_apply_module]
exact add_lt_add_right (smul_lt_smul_of_pos_left ha (sub_pos.2 hr)) _
| 2 | 7.389056 | 1 | 1.222222 | 9 | 1,293 |
import Mathlib.Algebra.CharP.Invertible
import Mathlib.Algebra.Order.Invertible
import Mathlib.Algebra.Order.Module.OrderedSMul
import Mathlib.Algebra.Order.Group.Instances
import Mathlib.LinearAlgebra.AffineSpace.Slope
import Mathlib.LinearAlgebra.AffineSpace.Midpoint
import Mathlib.Tactic.FieldSimp
#align_import linear_algebra.affine_space.ordered from "leanprover-community/mathlib"@"78261225eb5cedc61c5c74ecb44e5b385d13b733"
open AffineMap
variable {k E PE : Type*}
section OrderedRing
variable [OrderedRing k] [OrderedAddCommGroup E] [Module k E] [OrderedSMul k E]
variable {a a' b b' : E} {r r' : k}
theorem lineMap_mono_left (ha : a ≤ a') (hr : r ≤ 1) : lineMap a b r ≤ lineMap a' b r := by
simp only [lineMap_apply_module]
exact add_le_add_right (smul_le_smul_of_nonneg_left ha (sub_nonneg.2 hr)) _
#align line_map_mono_left lineMap_mono_left
theorem lineMap_strict_mono_left (ha : a < a') (hr : r < 1) : lineMap a b r < lineMap a' b r := by
simp only [lineMap_apply_module]
exact add_lt_add_right (smul_lt_smul_of_pos_left ha (sub_pos.2 hr)) _
#align line_map_strict_mono_left lineMap_strict_mono_left
| Mathlib/LinearAlgebra/AffineSpace/Ordered.lean | 62 | 64 | theorem lineMap_mono_right (hb : b ≤ b') (hr : 0 ≤ r) : lineMap a b r ≤ lineMap a b' r := by |
simp only [lineMap_apply_module]
exact add_le_add_left (smul_le_smul_of_nonneg_left hb hr) _
| 2 | 7.389056 | 1 | 1.222222 | 9 | 1,293 |
import Mathlib.Algebra.CharP.Invertible
import Mathlib.Algebra.Order.Invertible
import Mathlib.Algebra.Order.Module.OrderedSMul
import Mathlib.Algebra.Order.Group.Instances
import Mathlib.LinearAlgebra.AffineSpace.Slope
import Mathlib.LinearAlgebra.AffineSpace.Midpoint
import Mathlib.Tactic.FieldSimp
#align_import linear_algebra.affine_space.ordered from "leanprover-community/mathlib"@"78261225eb5cedc61c5c74ecb44e5b385d13b733"
open AffineMap
variable {k E PE : Type*}
section OrderedRing
variable [OrderedRing k] [OrderedAddCommGroup E] [Module k E] [OrderedSMul k E]
variable {a a' b b' : E} {r r' : k}
theorem lineMap_mono_left (ha : a ≤ a') (hr : r ≤ 1) : lineMap a b r ≤ lineMap a' b r := by
simp only [lineMap_apply_module]
exact add_le_add_right (smul_le_smul_of_nonneg_left ha (sub_nonneg.2 hr)) _
#align line_map_mono_left lineMap_mono_left
theorem lineMap_strict_mono_left (ha : a < a') (hr : r < 1) : lineMap a b r < lineMap a' b r := by
simp only [lineMap_apply_module]
exact add_lt_add_right (smul_lt_smul_of_pos_left ha (sub_pos.2 hr)) _
#align line_map_strict_mono_left lineMap_strict_mono_left
theorem lineMap_mono_right (hb : b ≤ b') (hr : 0 ≤ r) : lineMap a b r ≤ lineMap a b' r := by
simp only [lineMap_apply_module]
exact add_le_add_left (smul_le_smul_of_nonneg_left hb hr) _
#align line_map_mono_right lineMap_mono_right
| Mathlib/LinearAlgebra/AffineSpace/Ordered.lean | 67 | 69 | theorem lineMap_strict_mono_right (hb : b < b') (hr : 0 < r) : lineMap a b r < lineMap a b' r := by |
simp only [lineMap_apply_module]
exact add_lt_add_left (smul_lt_smul_of_pos_left hb hr) _
| 2 | 7.389056 | 1 | 1.222222 | 9 | 1,293 |
import Mathlib.Algebra.CharP.Invertible
import Mathlib.Algebra.Order.Invertible
import Mathlib.Algebra.Order.Module.OrderedSMul
import Mathlib.Algebra.Order.Group.Instances
import Mathlib.LinearAlgebra.AffineSpace.Slope
import Mathlib.LinearAlgebra.AffineSpace.Midpoint
import Mathlib.Tactic.FieldSimp
#align_import linear_algebra.affine_space.ordered from "leanprover-community/mathlib"@"78261225eb5cedc61c5c74ecb44e5b385d13b733"
open AffineMap
variable {k E PE : Type*}
section OrderedRing
variable [OrderedRing k] [OrderedAddCommGroup E] [Module k E] [OrderedSMul k E]
variable {a a' b b' : E} {r r' : k}
theorem lineMap_mono_left (ha : a ≤ a') (hr : r ≤ 1) : lineMap a b r ≤ lineMap a' b r := by
simp only [lineMap_apply_module]
exact add_le_add_right (smul_le_smul_of_nonneg_left ha (sub_nonneg.2 hr)) _
#align line_map_mono_left lineMap_mono_left
theorem lineMap_strict_mono_left (ha : a < a') (hr : r < 1) : lineMap a b r < lineMap a' b r := by
simp only [lineMap_apply_module]
exact add_lt_add_right (smul_lt_smul_of_pos_left ha (sub_pos.2 hr)) _
#align line_map_strict_mono_left lineMap_strict_mono_left
theorem lineMap_mono_right (hb : b ≤ b') (hr : 0 ≤ r) : lineMap a b r ≤ lineMap a b' r := by
simp only [lineMap_apply_module]
exact add_le_add_left (smul_le_smul_of_nonneg_left hb hr) _
#align line_map_mono_right lineMap_mono_right
theorem lineMap_strict_mono_right (hb : b < b') (hr : 0 < r) : lineMap a b r < lineMap a b' r := by
simp only [lineMap_apply_module]
exact add_lt_add_left (smul_lt_smul_of_pos_left hb hr) _
#align line_map_strict_mono_right lineMap_strict_mono_right
theorem lineMap_mono_endpoints (ha : a ≤ a') (hb : b ≤ b') (h₀ : 0 ≤ r) (h₁ : r ≤ 1) :
lineMap a b r ≤ lineMap a' b' r :=
(lineMap_mono_left ha h₁).trans (lineMap_mono_right hb h₀)
#align line_map_mono_endpoints lineMap_mono_endpoints
| Mathlib/LinearAlgebra/AffineSpace/Ordered.lean | 77 | 80 | theorem lineMap_strict_mono_endpoints (ha : a < a') (hb : b < b') (h₀ : 0 ≤ r) (h₁ : r ≤ 1) :
lineMap a b r < lineMap a' b' r := by |
rcases h₀.eq_or_lt with (rfl | h₀); · simpa
exact (lineMap_mono_left ha.le h₁).trans_lt (lineMap_strict_mono_right hb h₀)
| 2 | 7.389056 | 1 | 1.222222 | 9 | 1,293 |
import Mathlib.Algebra.CharP.Invertible
import Mathlib.Algebra.Order.Invertible
import Mathlib.Algebra.Order.Module.OrderedSMul
import Mathlib.Algebra.Order.Group.Instances
import Mathlib.LinearAlgebra.AffineSpace.Slope
import Mathlib.LinearAlgebra.AffineSpace.Midpoint
import Mathlib.Tactic.FieldSimp
#align_import linear_algebra.affine_space.ordered from "leanprover-community/mathlib"@"78261225eb5cedc61c5c74ecb44e5b385d13b733"
open AffineMap
variable {k E PE : Type*}
section OrderedRing
variable [OrderedRing k] [OrderedAddCommGroup E] [Module k E] [OrderedSMul k E]
variable {a a' b b' : E} {r r' : k}
theorem lineMap_mono_left (ha : a ≤ a') (hr : r ≤ 1) : lineMap a b r ≤ lineMap a' b r := by
simp only [lineMap_apply_module]
exact add_le_add_right (smul_le_smul_of_nonneg_left ha (sub_nonneg.2 hr)) _
#align line_map_mono_left lineMap_mono_left
theorem lineMap_strict_mono_left (ha : a < a') (hr : r < 1) : lineMap a b r < lineMap a' b r := by
simp only [lineMap_apply_module]
exact add_lt_add_right (smul_lt_smul_of_pos_left ha (sub_pos.2 hr)) _
#align line_map_strict_mono_left lineMap_strict_mono_left
theorem lineMap_mono_right (hb : b ≤ b') (hr : 0 ≤ r) : lineMap a b r ≤ lineMap a b' r := by
simp only [lineMap_apply_module]
exact add_le_add_left (smul_le_smul_of_nonneg_left hb hr) _
#align line_map_mono_right lineMap_mono_right
theorem lineMap_strict_mono_right (hb : b < b') (hr : 0 < r) : lineMap a b r < lineMap a b' r := by
simp only [lineMap_apply_module]
exact add_lt_add_left (smul_lt_smul_of_pos_left hb hr) _
#align line_map_strict_mono_right lineMap_strict_mono_right
theorem lineMap_mono_endpoints (ha : a ≤ a') (hb : b ≤ b') (h₀ : 0 ≤ r) (h₁ : r ≤ 1) :
lineMap a b r ≤ lineMap a' b' r :=
(lineMap_mono_left ha h₁).trans (lineMap_mono_right hb h₀)
#align line_map_mono_endpoints lineMap_mono_endpoints
theorem lineMap_strict_mono_endpoints (ha : a < a') (hb : b < b') (h₀ : 0 ≤ r) (h₁ : r ≤ 1) :
lineMap a b r < lineMap a' b' r := by
rcases h₀.eq_or_lt with (rfl | h₀); · simpa
exact (lineMap_mono_left ha.le h₁).trans_lt (lineMap_strict_mono_right hb h₀)
#align line_map_strict_mono_endpoints lineMap_strict_mono_endpoints
| Mathlib/LinearAlgebra/AffineSpace/Ordered.lean | 83 | 86 | theorem lineMap_lt_lineMap_iff_of_lt (h : r < r') : lineMap a b r < lineMap a b r' ↔ a < b := by |
simp only [lineMap_apply_module]
rw [← lt_sub_iff_add_lt, add_sub_assoc, ← sub_lt_iff_lt_add', ← sub_smul, ← sub_smul,
sub_sub_sub_cancel_left, smul_lt_smul_iff_of_pos_left (sub_pos.2 h)]
| 3 | 20.085537 | 1 | 1.222222 | 9 | 1,293 |
import Mathlib.Algebra.CharP.Invertible
import Mathlib.Algebra.Order.Invertible
import Mathlib.Algebra.Order.Module.OrderedSMul
import Mathlib.Algebra.Order.Group.Instances
import Mathlib.LinearAlgebra.AffineSpace.Slope
import Mathlib.LinearAlgebra.AffineSpace.Midpoint
import Mathlib.Tactic.FieldSimp
#align_import linear_algebra.affine_space.ordered from "leanprover-community/mathlib"@"78261225eb5cedc61c5c74ecb44e5b385d13b733"
open AffineMap
variable {k E PE : Type*}
section LinearOrderedField
variable [LinearOrderedField k] [OrderedAddCommGroup E]
variable [Module k E] [OrderedSMul k E]
section
variable {a b : E} {r r' : k}
| Mathlib/LinearAlgebra/AffineSpace/Ordered.lean | 127 | 130 | theorem lineMap_le_lineMap_iff_of_lt (h : r < r') : lineMap a b r ≤ lineMap a b r' ↔ a ≤ b := by |
simp only [lineMap_apply_module]
rw [← le_sub_iff_add_le, add_sub_assoc, ← sub_le_iff_le_add', ← sub_smul, ← sub_smul,
sub_sub_sub_cancel_left, smul_le_smul_iff_of_pos_left (sub_pos.2 h)]
| 3 | 20.085537 | 1 | 1.222222 | 9 | 1,293 |
import Mathlib.Algebra.CharP.Invertible
import Mathlib.Algebra.Order.Invertible
import Mathlib.Algebra.Order.Module.OrderedSMul
import Mathlib.Algebra.Order.Group.Instances
import Mathlib.LinearAlgebra.AffineSpace.Slope
import Mathlib.LinearAlgebra.AffineSpace.Midpoint
import Mathlib.Tactic.FieldSimp
#align_import linear_algebra.affine_space.ordered from "leanprover-community/mathlib"@"78261225eb5cedc61c5c74ecb44e5b385d13b733"
open AffineMap
variable {k E PE : Type*}
section LinearOrderedField
variable [LinearOrderedField k] [OrderedAddCommGroup E]
variable [Module k E] [OrderedSMul k E]
section
variable {a b : E} {r r' : k}
theorem lineMap_le_lineMap_iff_of_lt (h : r < r') : lineMap a b r ≤ lineMap a b r' ↔ a ≤ b := by
simp only [lineMap_apply_module]
rw [← le_sub_iff_add_le, add_sub_assoc, ← sub_le_iff_le_add', ← sub_smul, ← sub_smul,
sub_sub_sub_cancel_left, smul_le_smul_iff_of_pos_left (sub_pos.2 h)]
#align line_map_le_line_map_iff_of_lt lineMap_le_lineMap_iff_of_lt
theorem left_le_lineMap_iff_le (h : 0 < r) : a ≤ lineMap a b r ↔ a ≤ b :=
Iff.trans (by rw [lineMap_apply_zero]) (lineMap_le_lineMap_iff_of_lt h)
#align left_le_line_map_iff_le left_le_lineMap_iff_le
@[simp]
theorem left_le_midpoint : a ≤ midpoint k a b ↔ a ≤ b :=
left_le_lineMap_iff_le <| inv_pos.2 zero_lt_two
#align left_le_midpoint left_le_midpoint
theorem lineMap_le_left_iff_le (h : 0 < r) : lineMap a b r ≤ a ↔ b ≤ a :=
left_le_lineMap_iff_le (E := Eᵒᵈ) h
#align line_map_le_left_iff_le lineMap_le_left_iff_le
@[simp]
theorem midpoint_le_left : midpoint k a b ≤ a ↔ b ≤ a :=
lineMap_le_left_iff_le <| inv_pos.2 zero_lt_two
#align midpoint_le_left midpoint_le_left
theorem lineMap_le_right_iff_le (h : r < 1) : lineMap a b r ≤ b ↔ a ≤ b :=
Iff.trans (by rw [lineMap_apply_one]) (lineMap_le_lineMap_iff_of_lt h)
#align line_map_le_right_iff_le lineMap_le_right_iff_le
@[simp]
theorem midpoint_le_right : midpoint k a b ≤ b ↔ a ≤ b :=
lineMap_le_right_iff_le <| inv_lt_one one_lt_two
#align midpoint_le_right midpoint_le_right
theorem right_le_lineMap_iff_le (h : r < 1) : b ≤ lineMap a b r ↔ b ≤ a :=
lineMap_le_right_iff_le (E := Eᵒᵈ) h
#align right_le_line_map_iff_le right_le_lineMap_iff_le
@[simp]
theorem right_le_midpoint : b ≤ midpoint k a b ↔ b ≤ a :=
right_le_lineMap_iff_le <| inv_lt_one one_lt_two
#align right_le_midpoint right_le_midpoint
end
variable {f : k → E} {a b r : k}
local notation "c" => lineMap a b r
| Mathlib/LinearAlgebra/AffineSpace/Ordered.lean | 206 | 213 | theorem map_le_lineMap_iff_slope_le_slope_left (h : 0 < r * (b - a)) :
f c ≤ lineMap (f a) (f b) r ↔ slope f a c ≤ slope f a b := by |
rw [lineMap_apply, lineMap_apply, slope, slope, vsub_eq_sub, vsub_eq_sub, vsub_eq_sub,
vadd_eq_add, vadd_eq_add, smul_eq_mul, add_sub_cancel_right, smul_sub, smul_sub, smul_sub,
sub_le_iff_le_add, mul_inv_rev, mul_smul, mul_smul, ← smul_sub, ← smul_sub, ← smul_add,
smul_smul, ← mul_inv_rev, inv_smul_le_iff_of_pos h, smul_smul,
mul_inv_cancel_right₀ (right_ne_zero_of_mul h.ne'), smul_add,
smul_inv_smul₀ (left_ne_zero_of_mul h.ne')]
| 6 | 403.428793 | 2 | 1.222222 | 9 | 1,293 |
import Mathlib.Algebra.CharP.Invertible
import Mathlib.Algebra.Order.Invertible
import Mathlib.Algebra.Order.Module.OrderedSMul
import Mathlib.Algebra.Order.Group.Instances
import Mathlib.LinearAlgebra.AffineSpace.Slope
import Mathlib.LinearAlgebra.AffineSpace.Midpoint
import Mathlib.Tactic.FieldSimp
#align_import linear_algebra.affine_space.ordered from "leanprover-community/mathlib"@"78261225eb5cedc61c5c74ecb44e5b385d13b733"
open AffineMap
variable {k E PE : Type*}
section LinearOrderedField
variable [LinearOrderedField k] [OrderedAddCommGroup E]
variable [Module k E] [OrderedSMul k E]
section
variable {a b : E} {r r' : k}
theorem lineMap_le_lineMap_iff_of_lt (h : r < r') : lineMap a b r ≤ lineMap a b r' ↔ a ≤ b := by
simp only [lineMap_apply_module]
rw [← le_sub_iff_add_le, add_sub_assoc, ← sub_le_iff_le_add', ← sub_smul, ← sub_smul,
sub_sub_sub_cancel_left, smul_le_smul_iff_of_pos_left (sub_pos.2 h)]
#align line_map_le_line_map_iff_of_lt lineMap_le_lineMap_iff_of_lt
theorem left_le_lineMap_iff_le (h : 0 < r) : a ≤ lineMap a b r ↔ a ≤ b :=
Iff.trans (by rw [lineMap_apply_zero]) (lineMap_le_lineMap_iff_of_lt h)
#align left_le_line_map_iff_le left_le_lineMap_iff_le
@[simp]
theorem left_le_midpoint : a ≤ midpoint k a b ↔ a ≤ b :=
left_le_lineMap_iff_le <| inv_pos.2 zero_lt_two
#align left_le_midpoint left_le_midpoint
theorem lineMap_le_left_iff_le (h : 0 < r) : lineMap a b r ≤ a ↔ b ≤ a :=
left_le_lineMap_iff_le (E := Eᵒᵈ) h
#align line_map_le_left_iff_le lineMap_le_left_iff_le
@[simp]
theorem midpoint_le_left : midpoint k a b ≤ a ↔ b ≤ a :=
lineMap_le_left_iff_le <| inv_pos.2 zero_lt_two
#align midpoint_le_left midpoint_le_left
theorem lineMap_le_right_iff_le (h : r < 1) : lineMap a b r ≤ b ↔ a ≤ b :=
Iff.trans (by rw [lineMap_apply_one]) (lineMap_le_lineMap_iff_of_lt h)
#align line_map_le_right_iff_le lineMap_le_right_iff_le
@[simp]
theorem midpoint_le_right : midpoint k a b ≤ b ↔ a ≤ b :=
lineMap_le_right_iff_le <| inv_lt_one one_lt_two
#align midpoint_le_right midpoint_le_right
theorem right_le_lineMap_iff_le (h : r < 1) : b ≤ lineMap a b r ↔ b ≤ a :=
lineMap_le_right_iff_le (E := Eᵒᵈ) h
#align right_le_line_map_iff_le right_le_lineMap_iff_le
@[simp]
theorem right_le_midpoint : b ≤ midpoint k a b ↔ b ≤ a :=
right_le_lineMap_iff_le <| inv_lt_one one_lt_two
#align right_le_midpoint right_le_midpoint
end
variable {f : k → E} {a b r : k}
local notation "c" => lineMap a b r
theorem map_le_lineMap_iff_slope_le_slope_left (h : 0 < r * (b - a)) :
f c ≤ lineMap (f a) (f b) r ↔ slope f a c ≤ slope f a b := by
rw [lineMap_apply, lineMap_apply, slope, slope, vsub_eq_sub, vsub_eq_sub, vsub_eq_sub,
vadd_eq_add, vadd_eq_add, smul_eq_mul, add_sub_cancel_right, smul_sub, smul_sub, smul_sub,
sub_le_iff_le_add, mul_inv_rev, mul_smul, mul_smul, ← smul_sub, ← smul_sub, ← smul_add,
smul_smul, ← mul_inv_rev, inv_smul_le_iff_of_pos h, smul_smul,
mul_inv_cancel_right₀ (right_ne_zero_of_mul h.ne'), smul_add,
smul_inv_smul₀ (left_ne_zero_of_mul h.ne')]
#align map_le_line_map_iff_slope_le_slope_left map_le_lineMap_iff_slope_le_slope_left
theorem lineMap_le_map_iff_slope_le_slope_left (h : 0 < r * (b - a)) :
lineMap (f a) (f b) r ≤ f c ↔ slope f a b ≤ slope f a c :=
map_le_lineMap_iff_slope_le_slope_left (E := Eᵒᵈ) (f := f) (a := a) (b := b) (r := r) h
#align line_map_le_map_iff_slope_le_slope_left lineMap_le_map_iff_slope_le_slope_left
theorem map_lt_lineMap_iff_slope_lt_slope_left (h : 0 < r * (b - a)) :
f c < lineMap (f a) (f b) r ↔ slope f a c < slope f a b :=
lt_iff_lt_of_le_iff_le' (lineMap_le_map_iff_slope_le_slope_left h)
(map_le_lineMap_iff_slope_le_slope_left h)
#align map_lt_line_map_iff_slope_lt_slope_left map_lt_lineMap_iff_slope_lt_slope_left
theorem lineMap_lt_map_iff_slope_lt_slope_left (h : 0 < r * (b - a)) :
lineMap (f a) (f b) r < f c ↔ slope f a b < slope f a c :=
map_lt_lineMap_iff_slope_lt_slope_left (E := Eᵒᵈ) (f := f) (a := a) (b := b) (r := r) h
#align line_map_lt_map_iff_slope_lt_slope_left lineMap_lt_map_iff_slope_lt_slope_left
| Mathlib/LinearAlgebra/AffineSpace/Ordered.lean | 240 | 248 | theorem map_le_lineMap_iff_slope_le_slope_right (h : 0 < (1 - r) * (b - a)) :
f c ≤ lineMap (f a) (f b) r ↔ slope f a b ≤ slope f c b := by |
rw [← lineMap_apply_one_sub, ← lineMap_apply_one_sub _ _ r]
revert h; generalize 1 - r = r'; clear! r; intro h
simp_rw [lineMap_apply, slope, vsub_eq_sub, vadd_eq_add, smul_eq_mul]
rw [sub_add_eq_sub_sub_swap, sub_self, zero_sub, neg_mul_eq_mul_neg, neg_sub,
le_inv_smul_iff_of_pos h, smul_smul, mul_inv_cancel_right₀, le_sub_comm, ← neg_sub (f b),
smul_neg, neg_add_eq_sub]
· exact right_ne_zero_of_mul h.ne'
| 7 | 1,096.633158 | 2 | 1.222222 | 9 | 1,293 |
import Mathlib.LinearAlgebra.LinearPMap
import Mathlib.Topology.Algebra.Module.Basic
#align_import topology.algebra.module.linear_pmap from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Topology
variable {R E F : Type*}
variable [CommRing R] [AddCommGroup E] [AddCommGroup F]
variable [Module R E] [Module R F]
variable [TopologicalSpace E] [TopologicalSpace F]
namespace LinearPMap
def IsClosed (f : E →ₗ.[R] F) : Prop :=
_root_.IsClosed (f.graph : Set (E × F))
#align linear_pmap.is_closed LinearPMap.IsClosed
variable [ContinuousAdd E] [ContinuousAdd F]
variable [TopologicalSpace R] [ContinuousSMul R E] [ContinuousSMul R F]
def IsClosable (f : E →ₗ.[R] F) : Prop :=
∃ f' : LinearPMap R E F, f.graph.topologicalClosure = f'.graph
#align linear_pmap.is_closable LinearPMap.IsClosable
theorem IsClosed.isClosable {f : E →ₗ.[R] F} (hf : f.IsClosed) : f.IsClosable :=
⟨f, hf.submodule_topologicalClosure_eq⟩
#align linear_pmap.is_closed.is_closable LinearPMap.IsClosed.isClosable
| Mathlib/Topology/Algebra/Module/LinearPMap.lean | 77 | 85 | theorem IsClosable.leIsClosable {f g : E →ₗ.[R] F} (hf : f.IsClosable) (hfg : g ≤ f) :
g.IsClosable := by |
cases' hf with f' hf
have : g.graph.topologicalClosure ≤ f'.graph := by
rw [← hf]
exact Submodule.topologicalClosure_mono (le_graph_of_le hfg)
use g.graph.topologicalClosure.toLinearPMap
rw [Submodule.toLinearPMap_graph_eq]
exact fun _ hx hx' => f'.graph_fst_eq_zero_snd (this hx) hx'
| 7 | 1,096.633158 | 2 | 1.222222 | 9 | 1,294 |
import Mathlib.LinearAlgebra.LinearPMap
import Mathlib.Topology.Algebra.Module.Basic
#align_import topology.algebra.module.linear_pmap from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Topology
variable {R E F : Type*}
variable [CommRing R] [AddCommGroup E] [AddCommGroup F]
variable [Module R E] [Module R F]
variable [TopologicalSpace E] [TopologicalSpace F]
namespace LinearPMap
def IsClosed (f : E →ₗ.[R] F) : Prop :=
_root_.IsClosed (f.graph : Set (E × F))
#align linear_pmap.is_closed LinearPMap.IsClosed
variable [ContinuousAdd E] [ContinuousAdd F]
variable [TopologicalSpace R] [ContinuousSMul R E] [ContinuousSMul R F]
def IsClosable (f : E →ₗ.[R] F) : Prop :=
∃ f' : LinearPMap R E F, f.graph.topologicalClosure = f'.graph
#align linear_pmap.is_closable LinearPMap.IsClosable
theorem IsClosed.isClosable {f : E →ₗ.[R] F} (hf : f.IsClosed) : f.IsClosable :=
⟨f, hf.submodule_topologicalClosure_eq⟩
#align linear_pmap.is_closed.is_closable LinearPMap.IsClosed.isClosable
theorem IsClosable.leIsClosable {f g : E →ₗ.[R] F} (hf : f.IsClosable) (hfg : g ≤ f) :
g.IsClosable := by
cases' hf with f' hf
have : g.graph.topologicalClosure ≤ f'.graph := by
rw [← hf]
exact Submodule.topologicalClosure_mono (le_graph_of_le hfg)
use g.graph.topologicalClosure.toLinearPMap
rw [Submodule.toLinearPMap_graph_eq]
exact fun _ hx hx' => f'.graph_fst_eq_zero_snd (this hx) hx'
#align linear_pmap.is_closable.le_is_closable LinearPMap.IsClosable.leIsClosable
| Mathlib/Topology/Algebra/Module/LinearPMap.lean | 89 | 92 | theorem IsClosable.existsUnique {f : E →ₗ.[R] F} (hf : f.IsClosable) :
∃! f' : E →ₗ.[R] F, f.graph.topologicalClosure = f'.graph := by |
refine exists_unique_of_exists_of_unique hf fun _ _ hy₁ hy₂ => eq_of_eq_graph ?_
rw [← hy₁, ← hy₂]
| 2 | 7.389056 | 1 | 1.222222 | 9 | 1,294 |
import Mathlib.LinearAlgebra.LinearPMap
import Mathlib.Topology.Algebra.Module.Basic
#align_import topology.algebra.module.linear_pmap from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Topology
variable {R E F : Type*}
variable [CommRing R] [AddCommGroup E] [AddCommGroup F]
variable [Module R E] [Module R F]
variable [TopologicalSpace E] [TopologicalSpace F]
namespace LinearPMap
def IsClosed (f : E →ₗ.[R] F) : Prop :=
_root_.IsClosed (f.graph : Set (E × F))
#align linear_pmap.is_closed LinearPMap.IsClosed
variable [ContinuousAdd E] [ContinuousAdd F]
variable [TopologicalSpace R] [ContinuousSMul R E] [ContinuousSMul R F]
def IsClosable (f : E →ₗ.[R] F) : Prop :=
∃ f' : LinearPMap R E F, f.graph.topologicalClosure = f'.graph
#align linear_pmap.is_closable LinearPMap.IsClosable
theorem IsClosed.isClosable {f : E →ₗ.[R] F} (hf : f.IsClosed) : f.IsClosable :=
⟨f, hf.submodule_topologicalClosure_eq⟩
#align linear_pmap.is_closed.is_closable LinearPMap.IsClosed.isClosable
theorem IsClosable.leIsClosable {f g : E →ₗ.[R] F} (hf : f.IsClosable) (hfg : g ≤ f) :
g.IsClosable := by
cases' hf with f' hf
have : g.graph.topologicalClosure ≤ f'.graph := by
rw [← hf]
exact Submodule.topologicalClosure_mono (le_graph_of_le hfg)
use g.graph.topologicalClosure.toLinearPMap
rw [Submodule.toLinearPMap_graph_eq]
exact fun _ hx hx' => f'.graph_fst_eq_zero_snd (this hx) hx'
#align linear_pmap.is_closable.le_is_closable LinearPMap.IsClosable.leIsClosable
theorem IsClosable.existsUnique {f : E →ₗ.[R] F} (hf : f.IsClosable) :
∃! f' : E →ₗ.[R] F, f.graph.topologicalClosure = f'.graph := by
refine exists_unique_of_exists_of_unique hf fun _ _ hy₁ hy₂ => eq_of_eq_graph ?_
rw [← hy₁, ← hy₂]
#align linear_pmap.is_closable.exists_unique LinearPMap.IsClosable.existsUnique
open scoped Classical
noncomputable def closure (f : E →ₗ.[R] F) : E →ₗ.[R] F :=
if hf : f.IsClosable then hf.choose else f
#align linear_pmap.closure LinearPMap.closure
| Mathlib/Topology/Algebra/Module/LinearPMap.lean | 103 | 104 | theorem closure_def {f : E →ₗ.[R] F} (hf : f.IsClosable) : f.closure = hf.choose := by |
simp [closure, hf]
| 1 | 2.718282 | 0 | 1.222222 | 9 | 1,294 |
import Mathlib.LinearAlgebra.LinearPMap
import Mathlib.Topology.Algebra.Module.Basic
#align_import topology.algebra.module.linear_pmap from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Topology
variable {R E F : Type*}
variable [CommRing R] [AddCommGroup E] [AddCommGroup F]
variable [Module R E] [Module R F]
variable [TopologicalSpace E] [TopologicalSpace F]
namespace LinearPMap
def IsClosed (f : E →ₗ.[R] F) : Prop :=
_root_.IsClosed (f.graph : Set (E × F))
#align linear_pmap.is_closed LinearPMap.IsClosed
variable [ContinuousAdd E] [ContinuousAdd F]
variable [TopologicalSpace R] [ContinuousSMul R E] [ContinuousSMul R F]
def IsClosable (f : E →ₗ.[R] F) : Prop :=
∃ f' : LinearPMap R E F, f.graph.topologicalClosure = f'.graph
#align linear_pmap.is_closable LinearPMap.IsClosable
theorem IsClosed.isClosable {f : E →ₗ.[R] F} (hf : f.IsClosed) : f.IsClosable :=
⟨f, hf.submodule_topologicalClosure_eq⟩
#align linear_pmap.is_closed.is_closable LinearPMap.IsClosed.isClosable
theorem IsClosable.leIsClosable {f g : E →ₗ.[R] F} (hf : f.IsClosable) (hfg : g ≤ f) :
g.IsClosable := by
cases' hf with f' hf
have : g.graph.topologicalClosure ≤ f'.graph := by
rw [← hf]
exact Submodule.topologicalClosure_mono (le_graph_of_le hfg)
use g.graph.topologicalClosure.toLinearPMap
rw [Submodule.toLinearPMap_graph_eq]
exact fun _ hx hx' => f'.graph_fst_eq_zero_snd (this hx) hx'
#align linear_pmap.is_closable.le_is_closable LinearPMap.IsClosable.leIsClosable
theorem IsClosable.existsUnique {f : E →ₗ.[R] F} (hf : f.IsClosable) :
∃! f' : E →ₗ.[R] F, f.graph.topologicalClosure = f'.graph := by
refine exists_unique_of_exists_of_unique hf fun _ _ hy₁ hy₂ => eq_of_eq_graph ?_
rw [← hy₁, ← hy₂]
#align linear_pmap.is_closable.exists_unique LinearPMap.IsClosable.existsUnique
open scoped Classical
noncomputable def closure (f : E →ₗ.[R] F) : E →ₗ.[R] F :=
if hf : f.IsClosable then hf.choose else f
#align linear_pmap.closure LinearPMap.closure
theorem closure_def {f : E →ₗ.[R] F} (hf : f.IsClosable) : f.closure = hf.choose := by
simp [closure, hf]
#align linear_pmap.closure_def LinearPMap.closure_def
| Mathlib/Topology/Algebra/Module/LinearPMap.lean | 107 | 107 | theorem closure_def' {f : E →ₗ.[R] F} (hf : ¬f.IsClosable) : f.closure = f := by | simp [closure, hf]
| 1 | 2.718282 | 0 | 1.222222 | 9 | 1,294 |
import Mathlib.LinearAlgebra.LinearPMap
import Mathlib.Topology.Algebra.Module.Basic
#align_import topology.algebra.module.linear_pmap from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Topology
variable {R E F : Type*}
variable [CommRing R] [AddCommGroup E] [AddCommGroup F]
variable [Module R E] [Module R F]
variable [TopologicalSpace E] [TopologicalSpace F]
namespace LinearPMap
def IsClosed (f : E →ₗ.[R] F) : Prop :=
_root_.IsClosed (f.graph : Set (E × F))
#align linear_pmap.is_closed LinearPMap.IsClosed
variable [ContinuousAdd E] [ContinuousAdd F]
variable [TopologicalSpace R] [ContinuousSMul R E] [ContinuousSMul R F]
def IsClosable (f : E →ₗ.[R] F) : Prop :=
∃ f' : LinearPMap R E F, f.graph.topologicalClosure = f'.graph
#align linear_pmap.is_closable LinearPMap.IsClosable
theorem IsClosed.isClosable {f : E →ₗ.[R] F} (hf : f.IsClosed) : f.IsClosable :=
⟨f, hf.submodule_topologicalClosure_eq⟩
#align linear_pmap.is_closed.is_closable LinearPMap.IsClosed.isClosable
theorem IsClosable.leIsClosable {f g : E →ₗ.[R] F} (hf : f.IsClosable) (hfg : g ≤ f) :
g.IsClosable := by
cases' hf with f' hf
have : g.graph.topologicalClosure ≤ f'.graph := by
rw [← hf]
exact Submodule.topologicalClosure_mono (le_graph_of_le hfg)
use g.graph.topologicalClosure.toLinearPMap
rw [Submodule.toLinearPMap_graph_eq]
exact fun _ hx hx' => f'.graph_fst_eq_zero_snd (this hx) hx'
#align linear_pmap.is_closable.le_is_closable LinearPMap.IsClosable.leIsClosable
theorem IsClosable.existsUnique {f : E →ₗ.[R] F} (hf : f.IsClosable) :
∃! f' : E →ₗ.[R] F, f.graph.topologicalClosure = f'.graph := by
refine exists_unique_of_exists_of_unique hf fun _ _ hy₁ hy₂ => eq_of_eq_graph ?_
rw [← hy₁, ← hy₂]
#align linear_pmap.is_closable.exists_unique LinearPMap.IsClosable.existsUnique
open scoped Classical
noncomputable def closure (f : E →ₗ.[R] F) : E →ₗ.[R] F :=
if hf : f.IsClosable then hf.choose else f
#align linear_pmap.closure LinearPMap.closure
theorem closure_def {f : E →ₗ.[R] F} (hf : f.IsClosable) : f.closure = hf.choose := by
simp [closure, hf]
#align linear_pmap.closure_def LinearPMap.closure_def
theorem closure_def' {f : E →ₗ.[R] F} (hf : ¬f.IsClosable) : f.closure = f := by simp [closure, hf]
#align linear_pmap.closure_def' LinearPMap.closure_def'
| Mathlib/Topology/Algebra/Module/LinearPMap.lean | 112 | 115 | theorem IsClosable.graph_closure_eq_closure_graph {f : E →ₗ.[R] F} (hf : f.IsClosable) :
f.graph.topologicalClosure = f.closure.graph := by |
rw [closure_def hf]
exact hf.choose_spec
| 2 | 7.389056 | 1 | 1.222222 | 9 | 1,294 |
import Mathlib.LinearAlgebra.LinearPMap
import Mathlib.Topology.Algebra.Module.Basic
#align_import topology.algebra.module.linear_pmap from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Topology
variable {R E F : Type*}
variable [CommRing R] [AddCommGroup E] [AddCommGroup F]
variable [Module R E] [Module R F]
variable [TopologicalSpace E] [TopologicalSpace F]
namespace LinearPMap
def IsClosed (f : E →ₗ.[R] F) : Prop :=
_root_.IsClosed (f.graph : Set (E × F))
#align linear_pmap.is_closed LinearPMap.IsClosed
variable [ContinuousAdd E] [ContinuousAdd F]
variable [TopologicalSpace R] [ContinuousSMul R E] [ContinuousSMul R F]
def IsClosable (f : E →ₗ.[R] F) : Prop :=
∃ f' : LinearPMap R E F, f.graph.topologicalClosure = f'.graph
#align linear_pmap.is_closable LinearPMap.IsClosable
theorem IsClosed.isClosable {f : E →ₗ.[R] F} (hf : f.IsClosed) : f.IsClosable :=
⟨f, hf.submodule_topologicalClosure_eq⟩
#align linear_pmap.is_closed.is_closable LinearPMap.IsClosed.isClosable
theorem IsClosable.leIsClosable {f g : E →ₗ.[R] F} (hf : f.IsClosable) (hfg : g ≤ f) :
g.IsClosable := by
cases' hf with f' hf
have : g.graph.topologicalClosure ≤ f'.graph := by
rw [← hf]
exact Submodule.topologicalClosure_mono (le_graph_of_le hfg)
use g.graph.topologicalClosure.toLinearPMap
rw [Submodule.toLinearPMap_graph_eq]
exact fun _ hx hx' => f'.graph_fst_eq_zero_snd (this hx) hx'
#align linear_pmap.is_closable.le_is_closable LinearPMap.IsClosable.leIsClosable
theorem IsClosable.existsUnique {f : E →ₗ.[R] F} (hf : f.IsClosable) :
∃! f' : E →ₗ.[R] F, f.graph.topologicalClosure = f'.graph := by
refine exists_unique_of_exists_of_unique hf fun _ _ hy₁ hy₂ => eq_of_eq_graph ?_
rw [← hy₁, ← hy₂]
#align linear_pmap.is_closable.exists_unique LinearPMap.IsClosable.existsUnique
open scoped Classical
noncomputable def closure (f : E →ₗ.[R] F) : E →ₗ.[R] F :=
if hf : f.IsClosable then hf.choose else f
#align linear_pmap.closure LinearPMap.closure
theorem closure_def {f : E →ₗ.[R] F} (hf : f.IsClosable) : f.closure = hf.choose := by
simp [closure, hf]
#align linear_pmap.closure_def LinearPMap.closure_def
theorem closure_def' {f : E →ₗ.[R] F} (hf : ¬f.IsClosable) : f.closure = f := by simp [closure, hf]
#align linear_pmap.closure_def' LinearPMap.closure_def'
theorem IsClosable.graph_closure_eq_closure_graph {f : E →ₗ.[R] F} (hf : f.IsClosable) :
f.graph.topologicalClosure = f.closure.graph := by
rw [closure_def hf]
exact hf.choose_spec
#align linear_pmap.is_closable.graph_closure_eq_closure_graph LinearPMap.IsClosable.graph_closure_eq_closure_graph
| Mathlib/Topology/Algebra/Module/LinearPMap.lean | 119 | 124 | theorem le_closure (f : E →ₗ.[R] F) : f ≤ f.closure := by |
by_cases hf : f.IsClosable
· refine le_of_le_graph ?_
rw [← hf.graph_closure_eq_closure_graph]
exact (graph f).le_topologicalClosure
rw [closure_def' hf]
| 5 | 148.413159 | 2 | 1.222222 | 9 | 1,294 |
import Mathlib.LinearAlgebra.LinearPMap
import Mathlib.Topology.Algebra.Module.Basic
#align_import topology.algebra.module.linear_pmap from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Topology
variable {R E F : Type*}
variable [CommRing R] [AddCommGroup E] [AddCommGroup F]
variable [Module R E] [Module R F]
variable [TopologicalSpace E] [TopologicalSpace F]
namespace LinearPMap
def IsClosed (f : E →ₗ.[R] F) : Prop :=
_root_.IsClosed (f.graph : Set (E × F))
#align linear_pmap.is_closed LinearPMap.IsClosed
variable [ContinuousAdd E] [ContinuousAdd F]
variable [TopologicalSpace R] [ContinuousSMul R E] [ContinuousSMul R F]
def IsClosable (f : E →ₗ.[R] F) : Prop :=
∃ f' : LinearPMap R E F, f.graph.topologicalClosure = f'.graph
#align linear_pmap.is_closable LinearPMap.IsClosable
theorem IsClosed.isClosable {f : E →ₗ.[R] F} (hf : f.IsClosed) : f.IsClosable :=
⟨f, hf.submodule_topologicalClosure_eq⟩
#align linear_pmap.is_closed.is_closable LinearPMap.IsClosed.isClosable
theorem IsClosable.leIsClosable {f g : E →ₗ.[R] F} (hf : f.IsClosable) (hfg : g ≤ f) :
g.IsClosable := by
cases' hf with f' hf
have : g.graph.topologicalClosure ≤ f'.graph := by
rw [← hf]
exact Submodule.topologicalClosure_mono (le_graph_of_le hfg)
use g.graph.topologicalClosure.toLinearPMap
rw [Submodule.toLinearPMap_graph_eq]
exact fun _ hx hx' => f'.graph_fst_eq_zero_snd (this hx) hx'
#align linear_pmap.is_closable.le_is_closable LinearPMap.IsClosable.leIsClosable
theorem IsClosable.existsUnique {f : E →ₗ.[R] F} (hf : f.IsClosable) :
∃! f' : E →ₗ.[R] F, f.graph.topologicalClosure = f'.graph := by
refine exists_unique_of_exists_of_unique hf fun _ _ hy₁ hy₂ => eq_of_eq_graph ?_
rw [← hy₁, ← hy₂]
#align linear_pmap.is_closable.exists_unique LinearPMap.IsClosable.existsUnique
open scoped Classical
noncomputable def closure (f : E →ₗ.[R] F) : E →ₗ.[R] F :=
if hf : f.IsClosable then hf.choose else f
#align linear_pmap.closure LinearPMap.closure
theorem closure_def {f : E →ₗ.[R] F} (hf : f.IsClosable) : f.closure = hf.choose := by
simp [closure, hf]
#align linear_pmap.closure_def LinearPMap.closure_def
theorem closure_def' {f : E →ₗ.[R] F} (hf : ¬f.IsClosable) : f.closure = f := by simp [closure, hf]
#align linear_pmap.closure_def' LinearPMap.closure_def'
theorem IsClosable.graph_closure_eq_closure_graph {f : E →ₗ.[R] F} (hf : f.IsClosable) :
f.graph.topologicalClosure = f.closure.graph := by
rw [closure_def hf]
exact hf.choose_spec
#align linear_pmap.is_closable.graph_closure_eq_closure_graph LinearPMap.IsClosable.graph_closure_eq_closure_graph
theorem le_closure (f : E →ₗ.[R] F) : f ≤ f.closure := by
by_cases hf : f.IsClosable
· refine le_of_le_graph ?_
rw [← hf.graph_closure_eq_closure_graph]
exact (graph f).le_topologicalClosure
rw [closure_def' hf]
#align linear_pmap.le_closure LinearPMap.le_closure
| Mathlib/Topology/Algebra/Module/LinearPMap.lean | 127 | 132 | theorem IsClosable.closure_mono {f g : E →ₗ.[R] F} (hg : g.IsClosable) (h : f ≤ g) :
f.closure ≤ g.closure := by |
refine le_of_le_graph ?_
rw [← (hg.leIsClosable h).graph_closure_eq_closure_graph]
rw [← hg.graph_closure_eq_closure_graph]
exact Submodule.topologicalClosure_mono (le_graph_of_le h)
| 4 | 54.59815 | 2 | 1.222222 | 9 | 1,294 |
import Mathlib.LinearAlgebra.LinearPMap
import Mathlib.Topology.Algebra.Module.Basic
#align_import topology.algebra.module.linear_pmap from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Topology
variable {R E F : Type*}
variable [CommRing R] [AddCommGroup E] [AddCommGroup F]
variable [Module R E] [Module R F]
variable [TopologicalSpace E] [TopologicalSpace F]
namespace LinearPMap
def IsClosed (f : E →ₗ.[R] F) : Prop :=
_root_.IsClosed (f.graph : Set (E × F))
#align linear_pmap.is_closed LinearPMap.IsClosed
variable [ContinuousAdd E] [ContinuousAdd F]
variable [TopologicalSpace R] [ContinuousSMul R E] [ContinuousSMul R F]
def IsClosable (f : E →ₗ.[R] F) : Prop :=
∃ f' : LinearPMap R E F, f.graph.topologicalClosure = f'.graph
#align linear_pmap.is_closable LinearPMap.IsClosable
theorem IsClosed.isClosable {f : E →ₗ.[R] F} (hf : f.IsClosed) : f.IsClosable :=
⟨f, hf.submodule_topologicalClosure_eq⟩
#align linear_pmap.is_closed.is_closable LinearPMap.IsClosed.isClosable
theorem IsClosable.leIsClosable {f g : E →ₗ.[R] F} (hf : f.IsClosable) (hfg : g ≤ f) :
g.IsClosable := by
cases' hf with f' hf
have : g.graph.topologicalClosure ≤ f'.graph := by
rw [← hf]
exact Submodule.topologicalClosure_mono (le_graph_of_le hfg)
use g.graph.topologicalClosure.toLinearPMap
rw [Submodule.toLinearPMap_graph_eq]
exact fun _ hx hx' => f'.graph_fst_eq_zero_snd (this hx) hx'
#align linear_pmap.is_closable.le_is_closable LinearPMap.IsClosable.leIsClosable
theorem IsClosable.existsUnique {f : E →ₗ.[R] F} (hf : f.IsClosable) :
∃! f' : E →ₗ.[R] F, f.graph.topologicalClosure = f'.graph := by
refine exists_unique_of_exists_of_unique hf fun _ _ hy₁ hy₂ => eq_of_eq_graph ?_
rw [← hy₁, ← hy₂]
#align linear_pmap.is_closable.exists_unique LinearPMap.IsClosable.existsUnique
open scoped Classical
noncomputable def closure (f : E →ₗ.[R] F) : E →ₗ.[R] F :=
if hf : f.IsClosable then hf.choose else f
#align linear_pmap.closure LinearPMap.closure
theorem closure_def {f : E →ₗ.[R] F} (hf : f.IsClosable) : f.closure = hf.choose := by
simp [closure, hf]
#align linear_pmap.closure_def LinearPMap.closure_def
theorem closure_def' {f : E →ₗ.[R] F} (hf : ¬f.IsClosable) : f.closure = f := by simp [closure, hf]
#align linear_pmap.closure_def' LinearPMap.closure_def'
theorem IsClosable.graph_closure_eq_closure_graph {f : E →ₗ.[R] F} (hf : f.IsClosable) :
f.graph.topologicalClosure = f.closure.graph := by
rw [closure_def hf]
exact hf.choose_spec
#align linear_pmap.is_closable.graph_closure_eq_closure_graph LinearPMap.IsClosable.graph_closure_eq_closure_graph
theorem le_closure (f : E →ₗ.[R] F) : f ≤ f.closure := by
by_cases hf : f.IsClosable
· refine le_of_le_graph ?_
rw [← hf.graph_closure_eq_closure_graph]
exact (graph f).le_topologicalClosure
rw [closure_def' hf]
#align linear_pmap.le_closure LinearPMap.le_closure
theorem IsClosable.closure_mono {f g : E →ₗ.[R] F} (hg : g.IsClosable) (h : f ≤ g) :
f.closure ≤ g.closure := by
refine le_of_le_graph ?_
rw [← (hg.leIsClosable h).graph_closure_eq_closure_graph]
rw [← hg.graph_closure_eq_closure_graph]
exact Submodule.topologicalClosure_mono (le_graph_of_le h)
#align linear_pmap.is_closable.closure_mono LinearPMap.IsClosable.closure_mono
| Mathlib/Topology/Algebra/Module/LinearPMap.lean | 136 | 138 | theorem IsClosable.closure_isClosed {f : E →ₗ.[R] F} (hf : f.IsClosable) : f.closure.IsClosed := by |
rw [IsClosed, ← hf.graph_closure_eq_closure_graph]
exact f.graph.isClosed_topologicalClosure
| 2 | 7.389056 | 1 | 1.222222 | 9 | 1,294 |
import Mathlib.LinearAlgebra.LinearPMap
import Mathlib.Topology.Algebra.Module.Basic
#align_import topology.algebra.module.linear_pmap from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Topology
variable {R E F : Type*}
variable [CommRing R] [AddCommGroup E] [AddCommGroup F]
variable [Module R E] [Module R F]
variable [TopologicalSpace E] [TopologicalSpace F]
namespace LinearPMap
def IsClosed (f : E →ₗ.[R] F) : Prop :=
_root_.IsClosed (f.graph : Set (E × F))
#align linear_pmap.is_closed LinearPMap.IsClosed
variable [ContinuousAdd E] [ContinuousAdd F]
variable [TopologicalSpace R] [ContinuousSMul R E] [ContinuousSMul R F]
def IsClosable (f : E →ₗ.[R] F) : Prop :=
∃ f' : LinearPMap R E F, f.graph.topologicalClosure = f'.graph
#align linear_pmap.is_closable LinearPMap.IsClosable
theorem IsClosed.isClosable {f : E →ₗ.[R] F} (hf : f.IsClosed) : f.IsClosable :=
⟨f, hf.submodule_topologicalClosure_eq⟩
#align linear_pmap.is_closed.is_closable LinearPMap.IsClosed.isClosable
theorem IsClosable.leIsClosable {f g : E →ₗ.[R] F} (hf : f.IsClosable) (hfg : g ≤ f) :
g.IsClosable := by
cases' hf with f' hf
have : g.graph.topologicalClosure ≤ f'.graph := by
rw [← hf]
exact Submodule.topologicalClosure_mono (le_graph_of_le hfg)
use g.graph.topologicalClosure.toLinearPMap
rw [Submodule.toLinearPMap_graph_eq]
exact fun _ hx hx' => f'.graph_fst_eq_zero_snd (this hx) hx'
#align linear_pmap.is_closable.le_is_closable LinearPMap.IsClosable.leIsClosable
theorem IsClosable.existsUnique {f : E →ₗ.[R] F} (hf : f.IsClosable) :
∃! f' : E →ₗ.[R] F, f.graph.topologicalClosure = f'.graph := by
refine exists_unique_of_exists_of_unique hf fun _ _ hy₁ hy₂ => eq_of_eq_graph ?_
rw [← hy₁, ← hy₂]
#align linear_pmap.is_closable.exists_unique LinearPMap.IsClosable.existsUnique
open scoped Classical
noncomputable def closure (f : E →ₗ.[R] F) : E →ₗ.[R] F :=
if hf : f.IsClosable then hf.choose else f
#align linear_pmap.closure LinearPMap.closure
theorem closure_def {f : E →ₗ.[R] F} (hf : f.IsClosable) : f.closure = hf.choose := by
simp [closure, hf]
#align linear_pmap.closure_def LinearPMap.closure_def
theorem closure_def' {f : E →ₗ.[R] F} (hf : ¬f.IsClosable) : f.closure = f := by simp [closure, hf]
#align linear_pmap.closure_def' LinearPMap.closure_def'
theorem IsClosable.graph_closure_eq_closure_graph {f : E →ₗ.[R] F} (hf : f.IsClosable) :
f.graph.topologicalClosure = f.closure.graph := by
rw [closure_def hf]
exact hf.choose_spec
#align linear_pmap.is_closable.graph_closure_eq_closure_graph LinearPMap.IsClosable.graph_closure_eq_closure_graph
theorem le_closure (f : E →ₗ.[R] F) : f ≤ f.closure := by
by_cases hf : f.IsClosable
· refine le_of_le_graph ?_
rw [← hf.graph_closure_eq_closure_graph]
exact (graph f).le_topologicalClosure
rw [closure_def' hf]
#align linear_pmap.le_closure LinearPMap.le_closure
theorem IsClosable.closure_mono {f g : E →ₗ.[R] F} (hg : g.IsClosable) (h : f ≤ g) :
f.closure ≤ g.closure := by
refine le_of_le_graph ?_
rw [← (hg.leIsClosable h).graph_closure_eq_closure_graph]
rw [← hg.graph_closure_eq_closure_graph]
exact Submodule.topologicalClosure_mono (le_graph_of_le h)
#align linear_pmap.is_closable.closure_mono LinearPMap.IsClosable.closure_mono
theorem IsClosable.closure_isClosed {f : E →ₗ.[R] F} (hf : f.IsClosable) : f.closure.IsClosed := by
rw [IsClosed, ← hf.graph_closure_eq_closure_graph]
exact f.graph.isClosed_topologicalClosure
#align linear_pmap.is_closable.closure_is_closed LinearPMap.IsClosable.closure_isClosed
theorem IsClosable.closureIsClosable {f : E →ₗ.[R] F} (hf : f.IsClosable) : f.closure.IsClosable :=
hf.closure_isClosed.isClosable
#align linear_pmap.is_closable.closure_is_closable LinearPMap.IsClosable.closureIsClosable
theorem isClosable_iff_exists_closed_extension {f : E →ₗ.[R] F} :
f.IsClosable ↔ ∃ g : E →ₗ.[R] F, g.IsClosed ∧ f ≤ g :=
⟨fun h => ⟨f.closure, h.closure_isClosed, f.le_closure⟩, fun ⟨_, hg, h⟩ =>
hg.isClosable.leIsClosable h⟩
#align linear_pmap.is_closable_iff_exists_closed_extension LinearPMap.isClosable_iff_exists_closed_extension
structure HasCore (f : E →ₗ.[R] F) (S : Submodule R E) : Prop where
le_domain : S ≤ f.domain
closure_eq : (f.domRestrict S).closure = f
#align linear_pmap.has_core LinearPMap.HasCore
theorem hasCore_def {f : E →ₗ.[R] F} {S : Submodule R E} (h : f.HasCore S) :
(f.domRestrict S).closure = f :=
h.2
#align linear_pmap.has_core_def LinearPMap.hasCore_def
| Mathlib/Topology/Algebra/Module/LinearPMap.lean | 169 | 179 | theorem closureHasCore (f : E →ₗ.[R] F) : f.closure.HasCore f.domain := by |
refine ⟨f.le_closure.1, ?_⟩
congr
ext x y hxy
· simp only [domRestrict_domain, Submodule.mem_inf, and_iff_left_iff_imp]
intro hx
exact f.le_closure.1 hx
let z : f.closure.domain := ⟨y.1, f.le_closure.1 y.2⟩
have hyz : (y : E) = z := by simp
rw [f.le_closure.2 hyz]
exact domRestrict_apply (hxy.trans hyz)
| 10 | 22,026.465795 | 2 | 1.222222 | 9 | 1,294 |
import Mathlib.Analysis.InnerProductSpace.Dual
import Mathlib.Analysis.InnerProductSpace.Orientation
import Mathlib.Data.Complex.Orientation
import Mathlib.Tactic.LinearCombination
#align_import analysis.inner_product_space.two_dim from "leanprover-community/mathlib"@"cd8fafa2fac98e1a67097e8a91ad9901cfde48af"
noncomputable section
open scoped RealInnerProductSpace ComplexConjugate
open FiniteDimensional
lemma FiniteDimensional.of_fact_finrank_eq_two {K V : Type*} [DivisionRing K]
[AddCommGroup V] [Module K V] [Fact (finrank K V = 2)] : FiniteDimensional K V :=
.of_fact_finrank_eq_succ 1
attribute [local instance] FiniteDimensional.of_fact_finrank_eq_two
@[deprecated (since := "2024-02-02")]
alias FiniteDimensional.finiteDimensional_of_fact_finrank_eq_two :=
FiniteDimensional.of_fact_finrank_eq_two
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [Fact (finrank ℝ E = 2)]
(o : Orientation ℝ E (Fin 2))
namespace Orientation
irreducible_def areaForm : E →ₗ[ℝ] E →ₗ[ℝ] ℝ := by
let z : E [⋀^Fin 0]→ₗ[ℝ] ℝ ≃ₗ[ℝ] ℝ :=
AlternatingMap.constLinearEquivOfIsEmpty.symm
let y : E [⋀^Fin 1]→ₗ[ℝ] ℝ →ₗ[ℝ] E →ₗ[ℝ] ℝ :=
LinearMap.llcomp ℝ E (E [⋀^Fin 0]→ₗ[ℝ] ℝ) ℝ z ∘ₗ AlternatingMap.curryLeftLinearMap
exact y ∘ₗ AlternatingMap.curryLeftLinearMap (R' := ℝ) o.volumeForm
#align orientation.area_form Orientation.areaForm
local notation "ω" => o.areaForm
| Mathlib/Analysis/InnerProductSpace/TwoDim.lean | 105 | 105 | theorem areaForm_to_volumeForm (x y : E) : ω x y = o.volumeForm ![x, y] := by | simp [areaForm]
| 1 | 2.718282 | 0 | 1.222222 | 9 | 1,295 |
import Mathlib.Analysis.InnerProductSpace.Dual
import Mathlib.Analysis.InnerProductSpace.Orientation
import Mathlib.Data.Complex.Orientation
import Mathlib.Tactic.LinearCombination
#align_import analysis.inner_product_space.two_dim from "leanprover-community/mathlib"@"cd8fafa2fac98e1a67097e8a91ad9901cfde48af"
noncomputable section
open scoped RealInnerProductSpace ComplexConjugate
open FiniteDimensional
lemma FiniteDimensional.of_fact_finrank_eq_two {K V : Type*} [DivisionRing K]
[AddCommGroup V] [Module K V] [Fact (finrank K V = 2)] : FiniteDimensional K V :=
.of_fact_finrank_eq_succ 1
attribute [local instance] FiniteDimensional.of_fact_finrank_eq_two
@[deprecated (since := "2024-02-02")]
alias FiniteDimensional.finiteDimensional_of_fact_finrank_eq_two :=
FiniteDimensional.of_fact_finrank_eq_two
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [Fact (finrank ℝ E = 2)]
(o : Orientation ℝ E (Fin 2))
namespace Orientation
irreducible_def areaForm : E →ₗ[ℝ] E →ₗ[ℝ] ℝ := by
let z : E [⋀^Fin 0]→ₗ[ℝ] ℝ ≃ₗ[ℝ] ℝ :=
AlternatingMap.constLinearEquivOfIsEmpty.symm
let y : E [⋀^Fin 1]→ₗ[ℝ] ℝ →ₗ[ℝ] E →ₗ[ℝ] ℝ :=
LinearMap.llcomp ℝ E (E [⋀^Fin 0]→ₗ[ℝ] ℝ) ℝ z ∘ₗ AlternatingMap.curryLeftLinearMap
exact y ∘ₗ AlternatingMap.curryLeftLinearMap (R' := ℝ) o.volumeForm
#align orientation.area_form Orientation.areaForm
local notation "ω" => o.areaForm
theorem areaForm_to_volumeForm (x y : E) : ω x y = o.volumeForm ![x, y] := by simp [areaForm]
#align orientation.area_form_to_volume_form Orientation.areaForm_to_volumeForm
@[simp]
| Mathlib/Analysis/InnerProductSpace/TwoDim.lean | 109 | 113 | theorem areaForm_apply_self (x : E) : ω x x = 0 := by |
rw [areaForm_to_volumeForm]
refine o.volumeForm.map_eq_zero_of_eq ![x, x] ?_ (?_ : (0 : Fin 2) ≠ 1)
· simp
· norm_num
| 4 | 54.59815 | 2 | 1.222222 | 9 | 1,295 |
import Mathlib.Analysis.InnerProductSpace.Dual
import Mathlib.Analysis.InnerProductSpace.Orientation
import Mathlib.Data.Complex.Orientation
import Mathlib.Tactic.LinearCombination
#align_import analysis.inner_product_space.two_dim from "leanprover-community/mathlib"@"cd8fafa2fac98e1a67097e8a91ad9901cfde48af"
noncomputable section
open scoped RealInnerProductSpace ComplexConjugate
open FiniteDimensional
lemma FiniteDimensional.of_fact_finrank_eq_two {K V : Type*} [DivisionRing K]
[AddCommGroup V] [Module K V] [Fact (finrank K V = 2)] : FiniteDimensional K V :=
.of_fact_finrank_eq_succ 1
attribute [local instance] FiniteDimensional.of_fact_finrank_eq_two
@[deprecated (since := "2024-02-02")]
alias FiniteDimensional.finiteDimensional_of_fact_finrank_eq_two :=
FiniteDimensional.of_fact_finrank_eq_two
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [Fact (finrank ℝ E = 2)]
(o : Orientation ℝ E (Fin 2))
namespace Orientation
irreducible_def areaForm : E →ₗ[ℝ] E →ₗ[ℝ] ℝ := by
let z : E [⋀^Fin 0]→ₗ[ℝ] ℝ ≃ₗ[ℝ] ℝ :=
AlternatingMap.constLinearEquivOfIsEmpty.symm
let y : E [⋀^Fin 1]→ₗ[ℝ] ℝ →ₗ[ℝ] E →ₗ[ℝ] ℝ :=
LinearMap.llcomp ℝ E (E [⋀^Fin 0]→ₗ[ℝ] ℝ) ℝ z ∘ₗ AlternatingMap.curryLeftLinearMap
exact y ∘ₗ AlternatingMap.curryLeftLinearMap (R' := ℝ) o.volumeForm
#align orientation.area_form Orientation.areaForm
local notation "ω" => o.areaForm
theorem areaForm_to_volumeForm (x y : E) : ω x y = o.volumeForm ![x, y] := by simp [areaForm]
#align orientation.area_form_to_volume_form Orientation.areaForm_to_volumeForm
@[simp]
theorem areaForm_apply_self (x : E) : ω x x = 0 := by
rw [areaForm_to_volumeForm]
refine o.volumeForm.map_eq_zero_of_eq ![x, x] ?_ (?_ : (0 : Fin 2) ≠ 1)
· simp
· norm_num
#align orientation.area_form_apply_self Orientation.areaForm_apply_self
| Mathlib/Analysis/InnerProductSpace/TwoDim.lean | 116 | 121 | theorem areaForm_swap (x y : E) : ω x y = -ω y x := by |
simp only [areaForm_to_volumeForm]
convert o.volumeForm.map_swap ![y, x] (_ : (0 : Fin 2) ≠ 1)
· ext i
fin_cases i <;> rfl
· norm_num
| 5 | 148.413159 | 2 | 1.222222 | 9 | 1,295 |
import Mathlib.Analysis.InnerProductSpace.Dual
import Mathlib.Analysis.InnerProductSpace.Orientation
import Mathlib.Data.Complex.Orientation
import Mathlib.Tactic.LinearCombination
#align_import analysis.inner_product_space.two_dim from "leanprover-community/mathlib"@"cd8fafa2fac98e1a67097e8a91ad9901cfde48af"
noncomputable section
open scoped RealInnerProductSpace ComplexConjugate
open FiniteDimensional
lemma FiniteDimensional.of_fact_finrank_eq_two {K V : Type*} [DivisionRing K]
[AddCommGroup V] [Module K V] [Fact (finrank K V = 2)] : FiniteDimensional K V :=
.of_fact_finrank_eq_succ 1
attribute [local instance] FiniteDimensional.of_fact_finrank_eq_two
@[deprecated (since := "2024-02-02")]
alias FiniteDimensional.finiteDimensional_of_fact_finrank_eq_two :=
FiniteDimensional.of_fact_finrank_eq_two
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [Fact (finrank ℝ E = 2)]
(o : Orientation ℝ E (Fin 2))
namespace Orientation
irreducible_def areaForm : E →ₗ[ℝ] E →ₗ[ℝ] ℝ := by
let z : E [⋀^Fin 0]→ₗ[ℝ] ℝ ≃ₗ[ℝ] ℝ :=
AlternatingMap.constLinearEquivOfIsEmpty.symm
let y : E [⋀^Fin 1]→ₗ[ℝ] ℝ →ₗ[ℝ] E →ₗ[ℝ] ℝ :=
LinearMap.llcomp ℝ E (E [⋀^Fin 0]→ₗ[ℝ] ℝ) ℝ z ∘ₗ AlternatingMap.curryLeftLinearMap
exact y ∘ₗ AlternatingMap.curryLeftLinearMap (R' := ℝ) o.volumeForm
#align orientation.area_form Orientation.areaForm
local notation "ω" => o.areaForm
theorem areaForm_to_volumeForm (x y : E) : ω x y = o.volumeForm ![x, y] := by simp [areaForm]
#align orientation.area_form_to_volume_form Orientation.areaForm_to_volumeForm
@[simp]
theorem areaForm_apply_self (x : E) : ω x x = 0 := by
rw [areaForm_to_volumeForm]
refine o.volumeForm.map_eq_zero_of_eq ![x, x] ?_ (?_ : (0 : Fin 2) ≠ 1)
· simp
· norm_num
#align orientation.area_form_apply_self Orientation.areaForm_apply_self
theorem areaForm_swap (x y : E) : ω x y = -ω y x := by
simp only [areaForm_to_volumeForm]
convert o.volumeForm.map_swap ![y, x] (_ : (0 : Fin 2) ≠ 1)
· ext i
fin_cases i <;> rfl
· norm_num
#align orientation.area_form_swap Orientation.areaForm_swap
@[simp]
| Mathlib/Analysis/InnerProductSpace/TwoDim.lean | 125 | 127 | theorem areaForm_neg_orientation : (-o).areaForm = -o.areaForm := by |
ext x y
simp [areaForm_to_volumeForm]
| 2 | 7.389056 | 1 | 1.222222 | 9 | 1,295 |
import Mathlib.Analysis.InnerProductSpace.Dual
import Mathlib.Analysis.InnerProductSpace.Orientation
import Mathlib.Data.Complex.Orientation
import Mathlib.Tactic.LinearCombination
#align_import analysis.inner_product_space.two_dim from "leanprover-community/mathlib"@"cd8fafa2fac98e1a67097e8a91ad9901cfde48af"
noncomputable section
open scoped RealInnerProductSpace ComplexConjugate
open FiniteDimensional
lemma FiniteDimensional.of_fact_finrank_eq_two {K V : Type*} [DivisionRing K]
[AddCommGroup V] [Module K V] [Fact (finrank K V = 2)] : FiniteDimensional K V :=
.of_fact_finrank_eq_succ 1
attribute [local instance] FiniteDimensional.of_fact_finrank_eq_two
@[deprecated (since := "2024-02-02")]
alias FiniteDimensional.finiteDimensional_of_fact_finrank_eq_two :=
FiniteDimensional.of_fact_finrank_eq_two
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [Fact (finrank ℝ E = 2)]
(o : Orientation ℝ E (Fin 2))
namespace Orientation
irreducible_def areaForm : E →ₗ[ℝ] E →ₗ[ℝ] ℝ := by
let z : E [⋀^Fin 0]→ₗ[ℝ] ℝ ≃ₗ[ℝ] ℝ :=
AlternatingMap.constLinearEquivOfIsEmpty.symm
let y : E [⋀^Fin 1]→ₗ[ℝ] ℝ →ₗ[ℝ] E →ₗ[ℝ] ℝ :=
LinearMap.llcomp ℝ E (E [⋀^Fin 0]→ₗ[ℝ] ℝ) ℝ z ∘ₗ AlternatingMap.curryLeftLinearMap
exact y ∘ₗ AlternatingMap.curryLeftLinearMap (R' := ℝ) o.volumeForm
#align orientation.area_form Orientation.areaForm
local notation "ω" => o.areaForm
theorem areaForm_to_volumeForm (x y : E) : ω x y = o.volumeForm ![x, y] := by simp [areaForm]
#align orientation.area_form_to_volume_form Orientation.areaForm_to_volumeForm
@[simp]
theorem areaForm_apply_self (x : E) : ω x x = 0 := by
rw [areaForm_to_volumeForm]
refine o.volumeForm.map_eq_zero_of_eq ![x, x] ?_ (?_ : (0 : Fin 2) ≠ 1)
· simp
· norm_num
#align orientation.area_form_apply_self Orientation.areaForm_apply_self
theorem areaForm_swap (x y : E) : ω x y = -ω y x := by
simp only [areaForm_to_volumeForm]
convert o.volumeForm.map_swap ![y, x] (_ : (0 : Fin 2) ≠ 1)
· ext i
fin_cases i <;> rfl
· norm_num
#align orientation.area_form_swap Orientation.areaForm_swap
@[simp]
theorem areaForm_neg_orientation : (-o).areaForm = -o.areaForm := by
ext x y
simp [areaForm_to_volumeForm]
#align orientation.area_form_neg_orientation Orientation.areaForm_neg_orientation
def areaForm' : E →L[ℝ] E →L[ℝ] ℝ :=
LinearMap.toContinuousLinearMap
(↑(LinearMap.toContinuousLinearMap : (E →ₗ[ℝ] ℝ) ≃ₗ[ℝ] E →L[ℝ] ℝ) ∘ₗ o.areaForm)
#align orientation.area_form' Orientation.areaForm'
@[simp]
theorem areaForm'_apply (x : E) :
o.areaForm' x = LinearMap.toContinuousLinearMap (o.areaForm x) :=
rfl
#align orientation.area_form'_apply Orientation.areaForm'_apply
| Mathlib/Analysis/InnerProductSpace/TwoDim.lean | 142 | 143 | theorem abs_areaForm_le (x y : E) : |ω x y| ≤ ‖x‖ * ‖y‖ := by |
simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.abs_volumeForm_apply_le ![x, y]
| 1 | 2.718282 | 0 | 1.222222 | 9 | 1,295 |
import Mathlib.Analysis.InnerProductSpace.Dual
import Mathlib.Analysis.InnerProductSpace.Orientation
import Mathlib.Data.Complex.Orientation
import Mathlib.Tactic.LinearCombination
#align_import analysis.inner_product_space.two_dim from "leanprover-community/mathlib"@"cd8fafa2fac98e1a67097e8a91ad9901cfde48af"
noncomputable section
open scoped RealInnerProductSpace ComplexConjugate
open FiniteDimensional
lemma FiniteDimensional.of_fact_finrank_eq_two {K V : Type*} [DivisionRing K]
[AddCommGroup V] [Module K V] [Fact (finrank K V = 2)] : FiniteDimensional K V :=
.of_fact_finrank_eq_succ 1
attribute [local instance] FiniteDimensional.of_fact_finrank_eq_two
@[deprecated (since := "2024-02-02")]
alias FiniteDimensional.finiteDimensional_of_fact_finrank_eq_two :=
FiniteDimensional.of_fact_finrank_eq_two
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [Fact (finrank ℝ E = 2)]
(o : Orientation ℝ E (Fin 2))
namespace Orientation
irreducible_def areaForm : E →ₗ[ℝ] E →ₗ[ℝ] ℝ := by
let z : E [⋀^Fin 0]→ₗ[ℝ] ℝ ≃ₗ[ℝ] ℝ :=
AlternatingMap.constLinearEquivOfIsEmpty.symm
let y : E [⋀^Fin 1]→ₗ[ℝ] ℝ →ₗ[ℝ] E →ₗ[ℝ] ℝ :=
LinearMap.llcomp ℝ E (E [⋀^Fin 0]→ₗ[ℝ] ℝ) ℝ z ∘ₗ AlternatingMap.curryLeftLinearMap
exact y ∘ₗ AlternatingMap.curryLeftLinearMap (R' := ℝ) o.volumeForm
#align orientation.area_form Orientation.areaForm
local notation "ω" => o.areaForm
theorem areaForm_to_volumeForm (x y : E) : ω x y = o.volumeForm ![x, y] := by simp [areaForm]
#align orientation.area_form_to_volume_form Orientation.areaForm_to_volumeForm
@[simp]
theorem areaForm_apply_self (x : E) : ω x x = 0 := by
rw [areaForm_to_volumeForm]
refine o.volumeForm.map_eq_zero_of_eq ![x, x] ?_ (?_ : (0 : Fin 2) ≠ 1)
· simp
· norm_num
#align orientation.area_form_apply_self Orientation.areaForm_apply_self
theorem areaForm_swap (x y : E) : ω x y = -ω y x := by
simp only [areaForm_to_volumeForm]
convert o.volumeForm.map_swap ![y, x] (_ : (0 : Fin 2) ≠ 1)
· ext i
fin_cases i <;> rfl
· norm_num
#align orientation.area_form_swap Orientation.areaForm_swap
@[simp]
theorem areaForm_neg_orientation : (-o).areaForm = -o.areaForm := by
ext x y
simp [areaForm_to_volumeForm]
#align orientation.area_form_neg_orientation Orientation.areaForm_neg_orientation
def areaForm' : E →L[ℝ] E →L[ℝ] ℝ :=
LinearMap.toContinuousLinearMap
(↑(LinearMap.toContinuousLinearMap : (E →ₗ[ℝ] ℝ) ≃ₗ[ℝ] E →L[ℝ] ℝ) ∘ₗ o.areaForm)
#align orientation.area_form' Orientation.areaForm'
@[simp]
theorem areaForm'_apply (x : E) :
o.areaForm' x = LinearMap.toContinuousLinearMap (o.areaForm x) :=
rfl
#align orientation.area_form'_apply Orientation.areaForm'_apply
theorem abs_areaForm_le (x y : E) : |ω x y| ≤ ‖x‖ * ‖y‖ := by
simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.abs_volumeForm_apply_le ![x, y]
#align orientation.abs_area_form_le Orientation.abs_areaForm_le
| Mathlib/Analysis/InnerProductSpace/TwoDim.lean | 146 | 147 | theorem areaForm_le (x y : E) : ω x y ≤ ‖x‖ * ‖y‖ := by |
simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.volumeForm_apply_le ![x, y]
| 1 | 2.718282 | 0 | 1.222222 | 9 | 1,295 |
import Mathlib.Analysis.InnerProductSpace.Dual
import Mathlib.Analysis.InnerProductSpace.Orientation
import Mathlib.Data.Complex.Orientation
import Mathlib.Tactic.LinearCombination
#align_import analysis.inner_product_space.two_dim from "leanprover-community/mathlib"@"cd8fafa2fac98e1a67097e8a91ad9901cfde48af"
noncomputable section
open scoped RealInnerProductSpace ComplexConjugate
open FiniteDimensional
lemma FiniteDimensional.of_fact_finrank_eq_two {K V : Type*} [DivisionRing K]
[AddCommGroup V] [Module K V] [Fact (finrank K V = 2)] : FiniteDimensional K V :=
.of_fact_finrank_eq_succ 1
attribute [local instance] FiniteDimensional.of_fact_finrank_eq_two
@[deprecated (since := "2024-02-02")]
alias FiniteDimensional.finiteDimensional_of_fact_finrank_eq_two :=
FiniteDimensional.of_fact_finrank_eq_two
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [Fact (finrank ℝ E = 2)]
(o : Orientation ℝ E (Fin 2))
namespace Orientation
irreducible_def areaForm : E →ₗ[ℝ] E →ₗ[ℝ] ℝ := by
let z : E [⋀^Fin 0]→ₗ[ℝ] ℝ ≃ₗ[ℝ] ℝ :=
AlternatingMap.constLinearEquivOfIsEmpty.symm
let y : E [⋀^Fin 1]→ₗ[ℝ] ℝ →ₗ[ℝ] E →ₗ[ℝ] ℝ :=
LinearMap.llcomp ℝ E (E [⋀^Fin 0]→ₗ[ℝ] ℝ) ℝ z ∘ₗ AlternatingMap.curryLeftLinearMap
exact y ∘ₗ AlternatingMap.curryLeftLinearMap (R' := ℝ) o.volumeForm
#align orientation.area_form Orientation.areaForm
local notation "ω" => o.areaForm
theorem areaForm_to_volumeForm (x y : E) : ω x y = o.volumeForm ![x, y] := by simp [areaForm]
#align orientation.area_form_to_volume_form Orientation.areaForm_to_volumeForm
@[simp]
theorem areaForm_apply_self (x : E) : ω x x = 0 := by
rw [areaForm_to_volumeForm]
refine o.volumeForm.map_eq_zero_of_eq ![x, x] ?_ (?_ : (0 : Fin 2) ≠ 1)
· simp
· norm_num
#align orientation.area_form_apply_self Orientation.areaForm_apply_self
theorem areaForm_swap (x y : E) : ω x y = -ω y x := by
simp only [areaForm_to_volumeForm]
convert o.volumeForm.map_swap ![y, x] (_ : (0 : Fin 2) ≠ 1)
· ext i
fin_cases i <;> rfl
· norm_num
#align orientation.area_form_swap Orientation.areaForm_swap
@[simp]
theorem areaForm_neg_orientation : (-o).areaForm = -o.areaForm := by
ext x y
simp [areaForm_to_volumeForm]
#align orientation.area_form_neg_orientation Orientation.areaForm_neg_orientation
def areaForm' : E →L[ℝ] E →L[ℝ] ℝ :=
LinearMap.toContinuousLinearMap
(↑(LinearMap.toContinuousLinearMap : (E →ₗ[ℝ] ℝ) ≃ₗ[ℝ] E →L[ℝ] ℝ) ∘ₗ o.areaForm)
#align orientation.area_form' Orientation.areaForm'
@[simp]
theorem areaForm'_apply (x : E) :
o.areaForm' x = LinearMap.toContinuousLinearMap (o.areaForm x) :=
rfl
#align orientation.area_form'_apply Orientation.areaForm'_apply
theorem abs_areaForm_le (x y : E) : |ω x y| ≤ ‖x‖ * ‖y‖ := by
simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.abs_volumeForm_apply_le ![x, y]
#align orientation.abs_area_form_le Orientation.abs_areaForm_le
theorem areaForm_le (x y : E) : ω x y ≤ ‖x‖ * ‖y‖ := by
simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.volumeForm_apply_le ![x, y]
#align orientation.area_form_le Orientation.areaForm_le
| Mathlib/Analysis/InnerProductSpace/TwoDim.lean | 150 | 158 | theorem abs_areaForm_of_orthogonal {x y : E} (h : ⟪x, y⟫ = 0) : |ω x y| = ‖x‖ * ‖y‖ := by |
rw [o.areaForm_to_volumeForm, o.abs_volumeForm_apply_of_pairwise_orthogonal]
· simp [Fin.prod_univ_succ]
intro i j hij
fin_cases i <;> fin_cases j
· simp_all
· simpa using h
· simpa [real_inner_comm] using h
· simp_all
| 8 | 2,980.957987 | 2 | 1.222222 | 9 | 1,295 |
import Mathlib.Analysis.InnerProductSpace.Dual
import Mathlib.Analysis.InnerProductSpace.Orientation
import Mathlib.Data.Complex.Orientation
import Mathlib.Tactic.LinearCombination
#align_import analysis.inner_product_space.two_dim from "leanprover-community/mathlib"@"cd8fafa2fac98e1a67097e8a91ad9901cfde48af"
noncomputable section
open scoped RealInnerProductSpace ComplexConjugate
open FiniteDimensional
lemma FiniteDimensional.of_fact_finrank_eq_two {K V : Type*} [DivisionRing K]
[AddCommGroup V] [Module K V] [Fact (finrank K V = 2)] : FiniteDimensional K V :=
.of_fact_finrank_eq_succ 1
attribute [local instance] FiniteDimensional.of_fact_finrank_eq_two
@[deprecated (since := "2024-02-02")]
alias FiniteDimensional.finiteDimensional_of_fact_finrank_eq_two :=
FiniteDimensional.of_fact_finrank_eq_two
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [Fact (finrank ℝ E = 2)]
(o : Orientation ℝ E (Fin 2))
namespace Orientation
irreducible_def areaForm : E →ₗ[ℝ] E →ₗ[ℝ] ℝ := by
let z : E [⋀^Fin 0]→ₗ[ℝ] ℝ ≃ₗ[ℝ] ℝ :=
AlternatingMap.constLinearEquivOfIsEmpty.symm
let y : E [⋀^Fin 1]→ₗ[ℝ] ℝ →ₗ[ℝ] E →ₗ[ℝ] ℝ :=
LinearMap.llcomp ℝ E (E [⋀^Fin 0]→ₗ[ℝ] ℝ) ℝ z ∘ₗ AlternatingMap.curryLeftLinearMap
exact y ∘ₗ AlternatingMap.curryLeftLinearMap (R' := ℝ) o.volumeForm
#align orientation.area_form Orientation.areaForm
local notation "ω" => o.areaForm
theorem areaForm_to_volumeForm (x y : E) : ω x y = o.volumeForm ![x, y] := by simp [areaForm]
#align orientation.area_form_to_volume_form Orientation.areaForm_to_volumeForm
@[simp]
theorem areaForm_apply_self (x : E) : ω x x = 0 := by
rw [areaForm_to_volumeForm]
refine o.volumeForm.map_eq_zero_of_eq ![x, x] ?_ (?_ : (0 : Fin 2) ≠ 1)
· simp
· norm_num
#align orientation.area_form_apply_self Orientation.areaForm_apply_self
theorem areaForm_swap (x y : E) : ω x y = -ω y x := by
simp only [areaForm_to_volumeForm]
convert o.volumeForm.map_swap ![y, x] (_ : (0 : Fin 2) ≠ 1)
· ext i
fin_cases i <;> rfl
· norm_num
#align orientation.area_form_swap Orientation.areaForm_swap
@[simp]
theorem areaForm_neg_orientation : (-o).areaForm = -o.areaForm := by
ext x y
simp [areaForm_to_volumeForm]
#align orientation.area_form_neg_orientation Orientation.areaForm_neg_orientation
def areaForm' : E →L[ℝ] E →L[ℝ] ℝ :=
LinearMap.toContinuousLinearMap
(↑(LinearMap.toContinuousLinearMap : (E →ₗ[ℝ] ℝ) ≃ₗ[ℝ] E →L[ℝ] ℝ) ∘ₗ o.areaForm)
#align orientation.area_form' Orientation.areaForm'
@[simp]
theorem areaForm'_apply (x : E) :
o.areaForm' x = LinearMap.toContinuousLinearMap (o.areaForm x) :=
rfl
#align orientation.area_form'_apply Orientation.areaForm'_apply
theorem abs_areaForm_le (x y : E) : |ω x y| ≤ ‖x‖ * ‖y‖ := by
simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.abs_volumeForm_apply_le ![x, y]
#align orientation.abs_area_form_le Orientation.abs_areaForm_le
theorem areaForm_le (x y : E) : ω x y ≤ ‖x‖ * ‖y‖ := by
simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.volumeForm_apply_le ![x, y]
#align orientation.area_form_le Orientation.areaForm_le
theorem abs_areaForm_of_orthogonal {x y : E} (h : ⟪x, y⟫ = 0) : |ω x y| = ‖x‖ * ‖y‖ := by
rw [o.areaForm_to_volumeForm, o.abs_volumeForm_apply_of_pairwise_orthogonal]
· simp [Fin.prod_univ_succ]
intro i j hij
fin_cases i <;> fin_cases j
· simp_all
· simpa using h
· simpa [real_inner_comm] using h
· simp_all
#align orientation.abs_area_form_of_orthogonal Orientation.abs_areaForm_of_orthogonal
| Mathlib/Analysis/InnerProductSpace/TwoDim.lean | 161 | 168 | theorem areaForm_map {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F]
[hF : Fact (finrank ℝ F = 2)] (φ : E ≃ₗᵢ[ℝ] F) (x y : F) :
(Orientation.map (Fin 2) φ.toLinearEquiv o).areaForm x y =
o.areaForm (φ.symm x) (φ.symm y) := by |
have : φ.symm ∘ ![x, y] = ![φ.symm x, φ.symm y] := by
ext i
fin_cases i <;> rfl
simp [areaForm_to_volumeForm, volumeForm_map, this]
| 4 | 54.59815 | 2 | 1.222222 | 9 | 1,295 |
import Mathlib.Analysis.InnerProductSpace.Dual
import Mathlib.Analysis.InnerProductSpace.Orientation
import Mathlib.Data.Complex.Orientation
import Mathlib.Tactic.LinearCombination
#align_import analysis.inner_product_space.two_dim from "leanprover-community/mathlib"@"cd8fafa2fac98e1a67097e8a91ad9901cfde48af"
noncomputable section
open scoped RealInnerProductSpace ComplexConjugate
open FiniteDimensional
lemma FiniteDimensional.of_fact_finrank_eq_two {K V : Type*} [DivisionRing K]
[AddCommGroup V] [Module K V] [Fact (finrank K V = 2)] : FiniteDimensional K V :=
.of_fact_finrank_eq_succ 1
attribute [local instance] FiniteDimensional.of_fact_finrank_eq_two
@[deprecated (since := "2024-02-02")]
alias FiniteDimensional.finiteDimensional_of_fact_finrank_eq_two :=
FiniteDimensional.of_fact_finrank_eq_two
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [Fact (finrank ℝ E = 2)]
(o : Orientation ℝ E (Fin 2))
namespace Orientation
irreducible_def areaForm : E →ₗ[ℝ] E →ₗ[ℝ] ℝ := by
let z : E [⋀^Fin 0]→ₗ[ℝ] ℝ ≃ₗ[ℝ] ℝ :=
AlternatingMap.constLinearEquivOfIsEmpty.symm
let y : E [⋀^Fin 1]→ₗ[ℝ] ℝ →ₗ[ℝ] E →ₗ[ℝ] ℝ :=
LinearMap.llcomp ℝ E (E [⋀^Fin 0]→ₗ[ℝ] ℝ) ℝ z ∘ₗ AlternatingMap.curryLeftLinearMap
exact y ∘ₗ AlternatingMap.curryLeftLinearMap (R' := ℝ) o.volumeForm
#align orientation.area_form Orientation.areaForm
local notation "ω" => o.areaForm
theorem areaForm_to_volumeForm (x y : E) : ω x y = o.volumeForm ![x, y] := by simp [areaForm]
#align orientation.area_form_to_volume_form Orientation.areaForm_to_volumeForm
@[simp]
theorem areaForm_apply_self (x : E) : ω x x = 0 := by
rw [areaForm_to_volumeForm]
refine o.volumeForm.map_eq_zero_of_eq ![x, x] ?_ (?_ : (0 : Fin 2) ≠ 1)
· simp
· norm_num
#align orientation.area_form_apply_self Orientation.areaForm_apply_self
theorem areaForm_swap (x y : E) : ω x y = -ω y x := by
simp only [areaForm_to_volumeForm]
convert o.volumeForm.map_swap ![y, x] (_ : (0 : Fin 2) ≠ 1)
· ext i
fin_cases i <;> rfl
· norm_num
#align orientation.area_form_swap Orientation.areaForm_swap
@[simp]
theorem areaForm_neg_orientation : (-o).areaForm = -o.areaForm := by
ext x y
simp [areaForm_to_volumeForm]
#align orientation.area_form_neg_orientation Orientation.areaForm_neg_orientation
def areaForm' : E →L[ℝ] E →L[ℝ] ℝ :=
LinearMap.toContinuousLinearMap
(↑(LinearMap.toContinuousLinearMap : (E →ₗ[ℝ] ℝ) ≃ₗ[ℝ] E →L[ℝ] ℝ) ∘ₗ o.areaForm)
#align orientation.area_form' Orientation.areaForm'
@[simp]
theorem areaForm'_apply (x : E) :
o.areaForm' x = LinearMap.toContinuousLinearMap (o.areaForm x) :=
rfl
#align orientation.area_form'_apply Orientation.areaForm'_apply
theorem abs_areaForm_le (x y : E) : |ω x y| ≤ ‖x‖ * ‖y‖ := by
simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.abs_volumeForm_apply_le ![x, y]
#align orientation.abs_area_form_le Orientation.abs_areaForm_le
theorem areaForm_le (x y : E) : ω x y ≤ ‖x‖ * ‖y‖ := by
simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.volumeForm_apply_le ![x, y]
#align orientation.area_form_le Orientation.areaForm_le
theorem abs_areaForm_of_orthogonal {x y : E} (h : ⟪x, y⟫ = 0) : |ω x y| = ‖x‖ * ‖y‖ := by
rw [o.areaForm_to_volumeForm, o.abs_volumeForm_apply_of_pairwise_orthogonal]
· simp [Fin.prod_univ_succ]
intro i j hij
fin_cases i <;> fin_cases j
· simp_all
· simpa using h
· simpa [real_inner_comm] using h
· simp_all
#align orientation.abs_area_form_of_orthogonal Orientation.abs_areaForm_of_orthogonal
theorem areaForm_map {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F]
[hF : Fact (finrank ℝ F = 2)] (φ : E ≃ₗᵢ[ℝ] F) (x y : F) :
(Orientation.map (Fin 2) φ.toLinearEquiv o).areaForm x y =
o.areaForm (φ.symm x) (φ.symm y) := by
have : φ.symm ∘ ![x, y] = ![φ.symm x, φ.symm y] := by
ext i
fin_cases i <;> rfl
simp [areaForm_to_volumeForm, volumeForm_map, this]
#align orientation.area_form_map Orientation.areaForm_map
| Mathlib/Analysis/InnerProductSpace/TwoDim.lean | 172 | 180 | theorem areaForm_comp_linearIsometryEquiv (φ : E ≃ₗᵢ[ℝ] E)
(hφ : 0 < LinearMap.det (φ.toLinearEquiv : E →ₗ[ℝ] E)) (x y : E) :
o.areaForm (φ x) (φ y) = o.areaForm x y := by |
convert o.areaForm_map φ (φ x) (φ y)
· symm
rwa [← o.map_eq_iff_det_pos φ.toLinearEquiv] at hφ
rw [@Fact.out (finrank ℝ E = 2), Fintype.card_fin]
· simp
· simp
| 6 | 403.428793 | 2 | 1.222222 | 9 | 1,295 |
import Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1
#align_import measure_theory.function.conditional_expectation.basic from "leanprover-community/mathlib"@"d8bbb04e2d2a44596798a9207ceefc0fb236e41e"
open TopologicalSpace MeasureTheory.Lp Filter
open scoped ENNReal Topology MeasureTheory
namespace MeasureTheory
variable {α F F' 𝕜 : Type*} {p : ℝ≥0∞} [RCLike 𝕜]
-- 𝕜 for ℝ or ℂ
-- F for a Lp submodule
[NormedAddCommGroup F]
[NormedSpace 𝕜 F]
-- F' for integrals on a Lp submodule
[NormedAddCommGroup F']
[NormedSpace 𝕜 F'] [NormedSpace ℝ F'] [CompleteSpace F']
open scoped Classical
variable {m m0 : MeasurableSpace α} {μ : Measure α} {f g : α → F'} {s : Set α}
noncomputable irreducible_def condexp (m : MeasurableSpace α) {m0 : MeasurableSpace α}
(μ : Measure α) (f : α → F') : α → F' :=
if hm : m ≤ m0 then
if h : SigmaFinite (μ.trim hm) ∧ Integrable f μ then
if StronglyMeasurable[m] f then f
else (@aestronglyMeasurable'_condexpL1 _ _ _ _ _ m m0 μ hm h.1 _).mk
(@condexpL1 _ _ _ _ _ _ _ hm μ h.1 f)
else 0
else 0
#align measure_theory.condexp MeasureTheory.condexp
-- We define notation `μ[f|m]` for the conditional expectation of `f` with respect to `m`.
scoped notation μ "[" f "|" m "]" => MeasureTheory.condexp m μ f
| Mathlib/MeasureTheory/Function/ConditionalExpectation/Basic.lean | 106 | 106 | theorem condexp_of_not_le (hm_not : ¬m ≤ m0) : μ[f|m] = 0 := by | rw [condexp, dif_neg hm_not]
| 1 | 2.718282 | 0 | 1.222222 | 9 | 1,296 |
import Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1
#align_import measure_theory.function.conditional_expectation.basic from "leanprover-community/mathlib"@"d8bbb04e2d2a44596798a9207ceefc0fb236e41e"
open TopologicalSpace MeasureTheory.Lp Filter
open scoped ENNReal Topology MeasureTheory
namespace MeasureTheory
variable {α F F' 𝕜 : Type*} {p : ℝ≥0∞} [RCLike 𝕜]
-- 𝕜 for ℝ or ℂ
-- F for a Lp submodule
[NormedAddCommGroup F]
[NormedSpace 𝕜 F]
-- F' for integrals on a Lp submodule
[NormedAddCommGroup F']
[NormedSpace 𝕜 F'] [NormedSpace ℝ F'] [CompleteSpace F']
open scoped Classical
variable {m m0 : MeasurableSpace α} {μ : Measure α} {f g : α → F'} {s : Set α}
noncomputable irreducible_def condexp (m : MeasurableSpace α) {m0 : MeasurableSpace α}
(μ : Measure α) (f : α → F') : α → F' :=
if hm : m ≤ m0 then
if h : SigmaFinite (μ.trim hm) ∧ Integrable f μ then
if StronglyMeasurable[m] f then f
else (@aestronglyMeasurable'_condexpL1 _ _ _ _ _ m m0 μ hm h.1 _).mk
(@condexpL1 _ _ _ _ _ _ _ hm μ h.1 f)
else 0
else 0
#align measure_theory.condexp MeasureTheory.condexp
-- We define notation `μ[f|m]` for the conditional expectation of `f` with respect to `m`.
scoped notation μ "[" f "|" m "]" => MeasureTheory.condexp m μ f
theorem condexp_of_not_le (hm_not : ¬m ≤ m0) : μ[f|m] = 0 := by rw [condexp, dif_neg hm_not]
#align measure_theory.condexp_of_not_le MeasureTheory.condexp_of_not_le
| Mathlib/MeasureTheory/Function/ConditionalExpectation/Basic.lean | 109 | 110 | theorem condexp_of_not_sigmaFinite (hm : m ≤ m0) (hμm_not : ¬SigmaFinite (μ.trim hm)) :
μ[f|m] = 0 := by | rw [condexp, dif_pos hm, dif_neg]; push_neg; exact fun h => absurd h hμm_not
| 1 | 2.718282 | 0 | 1.222222 | 9 | 1,296 |
import Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1
#align_import measure_theory.function.conditional_expectation.basic from "leanprover-community/mathlib"@"d8bbb04e2d2a44596798a9207ceefc0fb236e41e"
open TopologicalSpace MeasureTheory.Lp Filter
open scoped ENNReal Topology MeasureTheory
namespace MeasureTheory
variable {α F F' 𝕜 : Type*} {p : ℝ≥0∞} [RCLike 𝕜]
-- 𝕜 for ℝ or ℂ
-- F for a Lp submodule
[NormedAddCommGroup F]
[NormedSpace 𝕜 F]
-- F' for integrals on a Lp submodule
[NormedAddCommGroup F']
[NormedSpace 𝕜 F'] [NormedSpace ℝ F'] [CompleteSpace F']
open scoped Classical
variable {m m0 : MeasurableSpace α} {μ : Measure α} {f g : α → F'} {s : Set α}
noncomputable irreducible_def condexp (m : MeasurableSpace α) {m0 : MeasurableSpace α}
(μ : Measure α) (f : α → F') : α → F' :=
if hm : m ≤ m0 then
if h : SigmaFinite (μ.trim hm) ∧ Integrable f μ then
if StronglyMeasurable[m] f then f
else (@aestronglyMeasurable'_condexpL1 _ _ _ _ _ m m0 μ hm h.1 _).mk
(@condexpL1 _ _ _ _ _ _ _ hm μ h.1 f)
else 0
else 0
#align measure_theory.condexp MeasureTheory.condexp
-- We define notation `μ[f|m]` for the conditional expectation of `f` with respect to `m`.
scoped notation μ "[" f "|" m "]" => MeasureTheory.condexp m μ f
theorem condexp_of_not_le (hm_not : ¬m ≤ m0) : μ[f|m] = 0 := by rw [condexp, dif_neg hm_not]
#align measure_theory.condexp_of_not_le MeasureTheory.condexp_of_not_le
theorem condexp_of_not_sigmaFinite (hm : m ≤ m0) (hμm_not : ¬SigmaFinite (μ.trim hm)) :
μ[f|m] = 0 := by rw [condexp, dif_pos hm, dif_neg]; push_neg; exact fun h => absurd h hμm_not
#align measure_theory.condexp_of_not_sigma_finite MeasureTheory.condexp_of_not_sigmaFinite
| Mathlib/MeasureTheory/Function/ConditionalExpectation/Basic.lean | 113 | 123 | theorem condexp_of_sigmaFinite (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] :
μ[f|m] =
if Integrable f μ then
if StronglyMeasurable[m] f then f
else aestronglyMeasurable'_condexpL1.mk (condexpL1 hm μ f)
else 0 := by |
rw [condexp, dif_pos hm]
simp only [hμm, Ne, true_and_iff]
by_cases hf : Integrable f μ
· rw [dif_pos hf, if_pos hf]
· rw [dif_neg hf, if_neg hf]
| 5 | 148.413159 | 2 | 1.222222 | 9 | 1,296 |
import Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1
#align_import measure_theory.function.conditional_expectation.basic from "leanprover-community/mathlib"@"d8bbb04e2d2a44596798a9207ceefc0fb236e41e"
open TopologicalSpace MeasureTheory.Lp Filter
open scoped ENNReal Topology MeasureTheory
namespace MeasureTheory
variable {α F F' 𝕜 : Type*} {p : ℝ≥0∞} [RCLike 𝕜]
-- 𝕜 for ℝ or ℂ
-- F for a Lp submodule
[NormedAddCommGroup F]
[NormedSpace 𝕜 F]
-- F' for integrals on a Lp submodule
[NormedAddCommGroup F']
[NormedSpace 𝕜 F'] [NormedSpace ℝ F'] [CompleteSpace F']
open scoped Classical
variable {m m0 : MeasurableSpace α} {μ : Measure α} {f g : α → F'} {s : Set α}
noncomputable irreducible_def condexp (m : MeasurableSpace α) {m0 : MeasurableSpace α}
(μ : Measure α) (f : α → F') : α → F' :=
if hm : m ≤ m0 then
if h : SigmaFinite (μ.trim hm) ∧ Integrable f μ then
if StronglyMeasurable[m] f then f
else (@aestronglyMeasurable'_condexpL1 _ _ _ _ _ m m0 μ hm h.1 _).mk
(@condexpL1 _ _ _ _ _ _ _ hm μ h.1 f)
else 0
else 0
#align measure_theory.condexp MeasureTheory.condexp
-- We define notation `μ[f|m]` for the conditional expectation of `f` with respect to `m`.
scoped notation μ "[" f "|" m "]" => MeasureTheory.condexp m μ f
theorem condexp_of_not_le (hm_not : ¬m ≤ m0) : μ[f|m] = 0 := by rw [condexp, dif_neg hm_not]
#align measure_theory.condexp_of_not_le MeasureTheory.condexp_of_not_le
theorem condexp_of_not_sigmaFinite (hm : m ≤ m0) (hμm_not : ¬SigmaFinite (μ.trim hm)) :
μ[f|m] = 0 := by rw [condexp, dif_pos hm, dif_neg]; push_neg; exact fun h => absurd h hμm_not
#align measure_theory.condexp_of_not_sigma_finite MeasureTheory.condexp_of_not_sigmaFinite
theorem condexp_of_sigmaFinite (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] :
μ[f|m] =
if Integrable f μ then
if StronglyMeasurable[m] f then f
else aestronglyMeasurable'_condexpL1.mk (condexpL1 hm μ f)
else 0 := by
rw [condexp, dif_pos hm]
simp only [hμm, Ne, true_and_iff]
by_cases hf : Integrable f μ
· rw [dif_pos hf, if_pos hf]
· rw [dif_neg hf, if_neg hf]
#align measure_theory.condexp_of_sigma_finite MeasureTheory.condexp_of_sigmaFinite
| Mathlib/MeasureTheory/Function/ConditionalExpectation/Basic.lean | 126 | 128 | theorem condexp_of_stronglyMeasurable (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] {f : α → F'}
(hf : StronglyMeasurable[m] f) (hfi : Integrable f μ) : μ[f|m] = f := by |
rw [condexp_of_sigmaFinite hm, if_pos hfi, if_pos hf]
| 1 | 2.718282 | 0 | 1.222222 | 9 | 1,296 |
import Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1
#align_import measure_theory.function.conditional_expectation.basic from "leanprover-community/mathlib"@"d8bbb04e2d2a44596798a9207ceefc0fb236e41e"
open TopologicalSpace MeasureTheory.Lp Filter
open scoped ENNReal Topology MeasureTheory
namespace MeasureTheory
variable {α F F' 𝕜 : Type*} {p : ℝ≥0∞} [RCLike 𝕜]
-- 𝕜 for ℝ or ℂ
-- F for a Lp submodule
[NormedAddCommGroup F]
[NormedSpace 𝕜 F]
-- F' for integrals on a Lp submodule
[NormedAddCommGroup F']
[NormedSpace 𝕜 F'] [NormedSpace ℝ F'] [CompleteSpace F']
open scoped Classical
variable {m m0 : MeasurableSpace α} {μ : Measure α} {f g : α → F'} {s : Set α}
noncomputable irreducible_def condexp (m : MeasurableSpace α) {m0 : MeasurableSpace α}
(μ : Measure α) (f : α → F') : α → F' :=
if hm : m ≤ m0 then
if h : SigmaFinite (μ.trim hm) ∧ Integrable f μ then
if StronglyMeasurable[m] f then f
else (@aestronglyMeasurable'_condexpL1 _ _ _ _ _ m m0 μ hm h.1 _).mk
(@condexpL1 _ _ _ _ _ _ _ hm μ h.1 f)
else 0
else 0
#align measure_theory.condexp MeasureTheory.condexp
-- We define notation `μ[f|m]` for the conditional expectation of `f` with respect to `m`.
scoped notation μ "[" f "|" m "]" => MeasureTheory.condexp m μ f
theorem condexp_of_not_le (hm_not : ¬m ≤ m0) : μ[f|m] = 0 := by rw [condexp, dif_neg hm_not]
#align measure_theory.condexp_of_not_le MeasureTheory.condexp_of_not_le
theorem condexp_of_not_sigmaFinite (hm : m ≤ m0) (hμm_not : ¬SigmaFinite (μ.trim hm)) :
μ[f|m] = 0 := by rw [condexp, dif_pos hm, dif_neg]; push_neg; exact fun h => absurd h hμm_not
#align measure_theory.condexp_of_not_sigma_finite MeasureTheory.condexp_of_not_sigmaFinite
theorem condexp_of_sigmaFinite (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] :
μ[f|m] =
if Integrable f μ then
if StronglyMeasurable[m] f then f
else aestronglyMeasurable'_condexpL1.mk (condexpL1 hm μ f)
else 0 := by
rw [condexp, dif_pos hm]
simp only [hμm, Ne, true_and_iff]
by_cases hf : Integrable f μ
· rw [dif_pos hf, if_pos hf]
· rw [dif_neg hf, if_neg hf]
#align measure_theory.condexp_of_sigma_finite MeasureTheory.condexp_of_sigmaFinite
theorem condexp_of_stronglyMeasurable (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] {f : α → F'}
(hf : StronglyMeasurable[m] f) (hfi : Integrable f μ) : μ[f|m] = f := by
rw [condexp_of_sigmaFinite hm, if_pos hfi, if_pos hf]
#align measure_theory.condexp_of_strongly_measurable MeasureTheory.condexp_of_stronglyMeasurable
theorem condexp_const (hm : m ≤ m0) (c : F') [IsFiniteMeasure μ] :
μ[fun _ : α => c|m] = fun _ => c :=
condexp_of_stronglyMeasurable hm (@stronglyMeasurable_const _ _ m _ _) (integrable_const c)
#align measure_theory.condexp_const MeasureTheory.condexp_const
| Mathlib/MeasureTheory/Function/ConditionalExpectation/Basic.lean | 136 | 148 | theorem condexp_ae_eq_condexpL1 (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] (f : α → F') :
μ[f|m] =ᵐ[μ] condexpL1 hm μ f := by |
rw [condexp_of_sigmaFinite hm]
by_cases hfi : Integrable f μ
· rw [if_pos hfi]
by_cases hfm : StronglyMeasurable[m] f
· rw [if_pos hfm]
exact (condexpL1_of_aestronglyMeasurable' (StronglyMeasurable.aeStronglyMeasurable' hfm)
hfi).symm
· rw [if_neg hfm]
exact (AEStronglyMeasurable'.ae_eq_mk aestronglyMeasurable'_condexpL1).symm
rw [if_neg hfi, condexpL1_undef hfi]
exact (coeFn_zero _ _ _).symm
| 11 | 59,874.141715 | 2 | 1.222222 | 9 | 1,296 |
import Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1
#align_import measure_theory.function.conditional_expectation.basic from "leanprover-community/mathlib"@"d8bbb04e2d2a44596798a9207ceefc0fb236e41e"
open TopologicalSpace MeasureTheory.Lp Filter
open scoped ENNReal Topology MeasureTheory
namespace MeasureTheory
variable {α F F' 𝕜 : Type*} {p : ℝ≥0∞} [RCLike 𝕜]
-- 𝕜 for ℝ or ℂ
-- F for a Lp submodule
[NormedAddCommGroup F]
[NormedSpace 𝕜 F]
-- F' for integrals on a Lp submodule
[NormedAddCommGroup F']
[NormedSpace 𝕜 F'] [NormedSpace ℝ F'] [CompleteSpace F']
open scoped Classical
variable {m m0 : MeasurableSpace α} {μ : Measure α} {f g : α → F'} {s : Set α}
noncomputable irreducible_def condexp (m : MeasurableSpace α) {m0 : MeasurableSpace α}
(μ : Measure α) (f : α → F') : α → F' :=
if hm : m ≤ m0 then
if h : SigmaFinite (μ.trim hm) ∧ Integrable f μ then
if StronglyMeasurable[m] f then f
else (@aestronglyMeasurable'_condexpL1 _ _ _ _ _ m m0 μ hm h.1 _).mk
(@condexpL1 _ _ _ _ _ _ _ hm μ h.1 f)
else 0
else 0
#align measure_theory.condexp MeasureTheory.condexp
-- We define notation `μ[f|m]` for the conditional expectation of `f` with respect to `m`.
scoped notation μ "[" f "|" m "]" => MeasureTheory.condexp m μ f
theorem condexp_of_not_le (hm_not : ¬m ≤ m0) : μ[f|m] = 0 := by rw [condexp, dif_neg hm_not]
#align measure_theory.condexp_of_not_le MeasureTheory.condexp_of_not_le
theorem condexp_of_not_sigmaFinite (hm : m ≤ m0) (hμm_not : ¬SigmaFinite (μ.trim hm)) :
μ[f|m] = 0 := by rw [condexp, dif_pos hm, dif_neg]; push_neg; exact fun h => absurd h hμm_not
#align measure_theory.condexp_of_not_sigma_finite MeasureTheory.condexp_of_not_sigmaFinite
theorem condexp_of_sigmaFinite (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] :
μ[f|m] =
if Integrable f μ then
if StronglyMeasurable[m] f then f
else aestronglyMeasurable'_condexpL1.mk (condexpL1 hm μ f)
else 0 := by
rw [condexp, dif_pos hm]
simp only [hμm, Ne, true_and_iff]
by_cases hf : Integrable f μ
· rw [dif_pos hf, if_pos hf]
· rw [dif_neg hf, if_neg hf]
#align measure_theory.condexp_of_sigma_finite MeasureTheory.condexp_of_sigmaFinite
theorem condexp_of_stronglyMeasurable (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] {f : α → F'}
(hf : StronglyMeasurable[m] f) (hfi : Integrable f μ) : μ[f|m] = f := by
rw [condexp_of_sigmaFinite hm, if_pos hfi, if_pos hf]
#align measure_theory.condexp_of_strongly_measurable MeasureTheory.condexp_of_stronglyMeasurable
theorem condexp_const (hm : m ≤ m0) (c : F') [IsFiniteMeasure μ] :
μ[fun _ : α => c|m] = fun _ => c :=
condexp_of_stronglyMeasurable hm (@stronglyMeasurable_const _ _ m _ _) (integrable_const c)
#align measure_theory.condexp_const MeasureTheory.condexp_const
theorem condexp_ae_eq_condexpL1 (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] (f : α → F') :
μ[f|m] =ᵐ[μ] condexpL1 hm μ f := by
rw [condexp_of_sigmaFinite hm]
by_cases hfi : Integrable f μ
· rw [if_pos hfi]
by_cases hfm : StronglyMeasurable[m] f
· rw [if_pos hfm]
exact (condexpL1_of_aestronglyMeasurable' (StronglyMeasurable.aeStronglyMeasurable' hfm)
hfi).symm
· rw [if_neg hfm]
exact (AEStronglyMeasurable'.ae_eq_mk aestronglyMeasurable'_condexpL1).symm
rw [if_neg hfi, condexpL1_undef hfi]
exact (coeFn_zero _ _ _).symm
set_option linter.uppercaseLean3 false in
#align measure_theory.condexp_ae_eq_condexp_L1 MeasureTheory.condexp_ae_eq_condexpL1
| Mathlib/MeasureTheory/Function/ConditionalExpectation/Basic.lean | 152 | 155 | theorem condexp_ae_eq_condexpL1CLM (hm : m ≤ m0) [SigmaFinite (μ.trim hm)] (hf : Integrable f μ) :
μ[f|m] =ᵐ[μ] condexpL1CLM F' hm μ (hf.toL1 f) := by |
refine (condexp_ae_eq_condexpL1 hm f).trans (eventually_of_forall fun x => ?_)
rw [condexpL1_eq hf]
| 2 | 7.389056 | 1 | 1.222222 | 9 | 1,296 |
import Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1
#align_import measure_theory.function.conditional_expectation.basic from "leanprover-community/mathlib"@"d8bbb04e2d2a44596798a9207ceefc0fb236e41e"
open TopologicalSpace MeasureTheory.Lp Filter
open scoped ENNReal Topology MeasureTheory
namespace MeasureTheory
variable {α F F' 𝕜 : Type*} {p : ℝ≥0∞} [RCLike 𝕜]
-- 𝕜 for ℝ or ℂ
-- F for a Lp submodule
[NormedAddCommGroup F]
[NormedSpace 𝕜 F]
-- F' for integrals on a Lp submodule
[NormedAddCommGroup F']
[NormedSpace 𝕜 F'] [NormedSpace ℝ F'] [CompleteSpace F']
open scoped Classical
variable {m m0 : MeasurableSpace α} {μ : Measure α} {f g : α → F'} {s : Set α}
noncomputable irreducible_def condexp (m : MeasurableSpace α) {m0 : MeasurableSpace α}
(μ : Measure α) (f : α → F') : α → F' :=
if hm : m ≤ m0 then
if h : SigmaFinite (μ.trim hm) ∧ Integrable f μ then
if StronglyMeasurable[m] f then f
else (@aestronglyMeasurable'_condexpL1 _ _ _ _ _ m m0 μ hm h.1 _).mk
(@condexpL1 _ _ _ _ _ _ _ hm μ h.1 f)
else 0
else 0
#align measure_theory.condexp MeasureTheory.condexp
-- We define notation `μ[f|m]` for the conditional expectation of `f` with respect to `m`.
scoped notation μ "[" f "|" m "]" => MeasureTheory.condexp m μ f
theorem condexp_of_not_le (hm_not : ¬m ≤ m0) : μ[f|m] = 0 := by rw [condexp, dif_neg hm_not]
#align measure_theory.condexp_of_not_le MeasureTheory.condexp_of_not_le
theorem condexp_of_not_sigmaFinite (hm : m ≤ m0) (hμm_not : ¬SigmaFinite (μ.trim hm)) :
μ[f|m] = 0 := by rw [condexp, dif_pos hm, dif_neg]; push_neg; exact fun h => absurd h hμm_not
#align measure_theory.condexp_of_not_sigma_finite MeasureTheory.condexp_of_not_sigmaFinite
theorem condexp_of_sigmaFinite (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] :
μ[f|m] =
if Integrable f μ then
if StronglyMeasurable[m] f then f
else aestronglyMeasurable'_condexpL1.mk (condexpL1 hm μ f)
else 0 := by
rw [condexp, dif_pos hm]
simp only [hμm, Ne, true_and_iff]
by_cases hf : Integrable f μ
· rw [dif_pos hf, if_pos hf]
· rw [dif_neg hf, if_neg hf]
#align measure_theory.condexp_of_sigma_finite MeasureTheory.condexp_of_sigmaFinite
theorem condexp_of_stronglyMeasurable (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] {f : α → F'}
(hf : StronglyMeasurable[m] f) (hfi : Integrable f μ) : μ[f|m] = f := by
rw [condexp_of_sigmaFinite hm, if_pos hfi, if_pos hf]
#align measure_theory.condexp_of_strongly_measurable MeasureTheory.condexp_of_stronglyMeasurable
theorem condexp_const (hm : m ≤ m0) (c : F') [IsFiniteMeasure μ] :
μ[fun _ : α => c|m] = fun _ => c :=
condexp_of_stronglyMeasurable hm (@stronglyMeasurable_const _ _ m _ _) (integrable_const c)
#align measure_theory.condexp_const MeasureTheory.condexp_const
theorem condexp_ae_eq_condexpL1 (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] (f : α → F') :
μ[f|m] =ᵐ[μ] condexpL1 hm μ f := by
rw [condexp_of_sigmaFinite hm]
by_cases hfi : Integrable f μ
· rw [if_pos hfi]
by_cases hfm : StronglyMeasurable[m] f
· rw [if_pos hfm]
exact (condexpL1_of_aestronglyMeasurable' (StronglyMeasurable.aeStronglyMeasurable' hfm)
hfi).symm
· rw [if_neg hfm]
exact (AEStronglyMeasurable'.ae_eq_mk aestronglyMeasurable'_condexpL1).symm
rw [if_neg hfi, condexpL1_undef hfi]
exact (coeFn_zero _ _ _).symm
set_option linter.uppercaseLean3 false in
#align measure_theory.condexp_ae_eq_condexp_L1 MeasureTheory.condexp_ae_eq_condexpL1
theorem condexp_ae_eq_condexpL1CLM (hm : m ≤ m0) [SigmaFinite (μ.trim hm)] (hf : Integrable f μ) :
μ[f|m] =ᵐ[μ] condexpL1CLM F' hm μ (hf.toL1 f) := by
refine (condexp_ae_eq_condexpL1 hm f).trans (eventually_of_forall fun x => ?_)
rw [condexpL1_eq hf]
set_option linter.uppercaseLean3 false in
#align measure_theory.condexp_ae_eq_condexp_L1_clm MeasureTheory.condexp_ae_eq_condexpL1CLM
| Mathlib/MeasureTheory/Function/ConditionalExpectation/Basic.lean | 159 | 165 | theorem condexp_undef (hf : ¬Integrable f μ) : μ[f|m] = 0 := by |
by_cases hm : m ≤ m0
swap; · rw [condexp_of_not_le hm]
by_cases hμm : SigmaFinite (μ.trim hm)
swap; · rw [condexp_of_not_sigmaFinite hm hμm]
haveI : SigmaFinite (μ.trim hm) := hμm
rw [condexp_of_sigmaFinite, if_neg hf]
| 6 | 403.428793 | 2 | 1.222222 | 9 | 1,296 |
import Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1
#align_import measure_theory.function.conditional_expectation.basic from "leanprover-community/mathlib"@"d8bbb04e2d2a44596798a9207ceefc0fb236e41e"
open TopologicalSpace MeasureTheory.Lp Filter
open scoped ENNReal Topology MeasureTheory
namespace MeasureTheory
variable {α F F' 𝕜 : Type*} {p : ℝ≥0∞} [RCLike 𝕜]
-- 𝕜 for ℝ or ℂ
-- F for a Lp submodule
[NormedAddCommGroup F]
[NormedSpace 𝕜 F]
-- F' for integrals on a Lp submodule
[NormedAddCommGroup F']
[NormedSpace 𝕜 F'] [NormedSpace ℝ F'] [CompleteSpace F']
open scoped Classical
variable {m m0 : MeasurableSpace α} {μ : Measure α} {f g : α → F'} {s : Set α}
noncomputable irreducible_def condexp (m : MeasurableSpace α) {m0 : MeasurableSpace α}
(μ : Measure α) (f : α → F') : α → F' :=
if hm : m ≤ m0 then
if h : SigmaFinite (μ.trim hm) ∧ Integrable f μ then
if StronglyMeasurable[m] f then f
else (@aestronglyMeasurable'_condexpL1 _ _ _ _ _ m m0 μ hm h.1 _).mk
(@condexpL1 _ _ _ _ _ _ _ hm μ h.1 f)
else 0
else 0
#align measure_theory.condexp MeasureTheory.condexp
-- We define notation `μ[f|m]` for the conditional expectation of `f` with respect to `m`.
scoped notation μ "[" f "|" m "]" => MeasureTheory.condexp m μ f
theorem condexp_of_not_le (hm_not : ¬m ≤ m0) : μ[f|m] = 0 := by rw [condexp, dif_neg hm_not]
#align measure_theory.condexp_of_not_le MeasureTheory.condexp_of_not_le
theorem condexp_of_not_sigmaFinite (hm : m ≤ m0) (hμm_not : ¬SigmaFinite (μ.trim hm)) :
μ[f|m] = 0 := by rw [condexp, dif_pos hm, dif_neg]; push_neg; exact fun h => absurd h hμm_not
#align measure_theory.condexp_of_not_sigma_finite MeasureTheory.condexp_of_not_sigmaFinite
theorem condexp_of_sigmaFinite (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] :
μ[f|m] =
if Integrable f μ then
if StronglyMeasurable[m] f then f
else aestronglyMeasurable'_condexpL1.mk (condexpL1 hm μ f)
else 0 := by
rw [condexp, dif_pos hm]
simp only [hμm, Ne, true_and_iff]
by_cases hf : Integrable f μ
· rw [dif_pos hf, if_pos hf]
· rw [dif_neg hf, if_neg hf]
#align measure_theory.condexp_of_sigma_finite MeasureTheory.condexp_of_sigmaFinite
theorem condexp_of_stronglyMeasurable (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] {f : α → F'}
(hf : StronglyMeasurable[m] f) (hfi : Integrable f μ) : μ[f|m] = f := by
rw [condexp_of_sigmaFinite hm, if_pos hfi, if_pos hf]
#align measure_theory.condexp_of_strongly_measurable MeasureTheory.condexp_of_stronglyMeasurable
theorem condexp_const (hm : m ≤ m0) (c : F') [IsFiniteMeasure μ] :
μ[fun _ : α => c|m] = fun _ => c :=
condexp_of_stronglyMeasurable hm (@stronglyMeasurable_const _ _ m _ _) (integrable_const c)
#align measure_theory.condexp_const MeasureTheory.condexp_const
theorem condexp_ae_eq_condexpL1 (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] (f : α → F') :
μ[f|m] =ᵐ[μ] condexpL1 hm μ f := by
rw [condexp_of_sigmaFinite hm]
by_cases hfi : Integrable f μ
· rw [if_pos hfi]
by_cases hfm : StronglyMeasurable[m] f
· rw [if_pos hfm]
exact (condexpL1_of_aestronglyMeasurable' (StronglyMeasurable.aeStronglyMeasurable' hfm)
hfi).symm
· rw [if_neg hfm]
exact (AEStronglyMeasurable'.ae_eq_mk aestronglyMeasurable'_condexpL1).symm
rw [if_neg hfi, condexpL1_undef hfi]
exact (coeFn_zero _ _ _).symm
set_option linter.uppercaseLean3 false in
#align measure_theory.condexp_ae_eq_condexp_L1 MeasureTheory.condexp_ae_eq_condexpL1
theorem condexp_ae_eq_condexpL1CLM (hm : m ≤ m0) [SigmaFinite (μ.trim hm)] (hf : Integrable f μ) :
μ[f|m] =ᵐ[μ] condexpL1CLM F' hm μ (hf.toL1 f) := by
refine (condexp_ae_eq_condexpL1 hm f).trans (eventually_of_forall fun x => ?_)
rw [condexpL1_eq hf]
set_option linter.uppercaseLean3 false in
#align measure_theory.condexp_ae_eq_condexp_L1_clm MeasureTheory.condexp_ae_eq_condexpL1CLM
theorem condexp_undef (hf : ¬Integrable f μ) : μ[f|m] = 0 := by
by_cases hm : m ≤ m0
swap; · rw [condexp_of_not_le hm]
by_cases hμm : SigmaFinite (μ.trim hm)
swap; · rw [condexp_of_not_sigmaFinite hm hμm]
haveI : SigmaFinite (μ.trim hm) := hμm
rw [condexp_of_sigmaFinite, if_neg hf]
#align measure_theory.condexp_undef MeasureTheory.condexp_undef
@[simp]
| Mathlib/MeasureTheory/Function/ConditionalExpectation/Basic.lean | 169 | 176 | theorem condexp_zero : μ[(0 : α → F')|m] = 0 := by |
by_cases hm : m ≤ m0
swap; · rw [condexp_of_not_le hm]
by_cases hμm : SigmaFinite (μ.trim hm)
swap; · rw [condexp_of_not_sigmaFinite hm hμm]
haveI : SigmaFinite (μ.trim hm) := hμm
exact
condexp_of_stronglyMeasurable hm (@stronglyMeasurable_zero _ _ m _ _) (integrable_zero _ _ _)
| 7 | 1,096.633158 | 2 | 1.222222 | 9 | 1,296 |
import Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1
#align_import measure_theory.function.conditional_expectation.basic from "leanprover-community/mathlib"@"d8bbb04e2d2a44596798a9207ceefc0fb236e41e"
open TopologicalSpace MeasureTheory.Lp Filter
open scoped ENNReal Topology MeasureTheory
namespace MeasureTheory
variable {α F F' 𝕜 : Type*} {p : ℝ≥0∞} [RCLike 𝕜]
-- 𝕜 for ℝ or ℂ
-- F for a Lp submodule
[NormedAddCommGroup F]
[NormedSpace 𝕜 F]
-- F' for integrals on a Lp submodule
[NormedAddCommGroup F']
[NormedSpace 𝕜 F'] [NormedSpace ℝ F'] [CompleteSpace F']
open scoped Classical
variable {m m0 : MeasurableSpace α} {μ : Measure α} {f g : α → F'} {s : Set α}
noncomputable irreducible_def condexp (m : MeasurableSpace α) {m0 : MeasurableSpace α}
(μ : Measure α) (f : α → F') : α → F' :=
if hm : m ≤ m0 then
if h : SigmaFinite (μ.trim hm) ∧ Integrable f μ then
if StronglyMeasurable[m] f then f
else (@aestronglyMeasurable'_condexpL1 _ _ _ _ _ m m0 μ hm h.1 _).mk
(@condexpL1 _ _ _ _ _ _ _ hm μ h.1 f)
else 0
else 0
#align measure_theory.condexp MeasureTheory.condexp
-- We define notation `μ[f|m]` for the conditional expectation of `f` with respect to `m`.
scoped notation μ "[" f "|" m "]" => MeasureTheory.condexp m μ f
theorem condexp_of_not_le (hm_not : ¬m ≤ m0) : μ[f|m] = 0 := by rw [condexp, dif_neg hm_not]
#align measure_theory.condexp_of_not_le MeasureTheory.condexp_of_not_le
theorem condexp_of_not_sigmaFinite (hm : m ≤ m0) (hμm_not : ¬SigmaFinite (μ.trim hm)) :
μ[f|m] = 0 := by rw [condexp, dif_pos hm, dif_neg]; push_neg; exact fun h => absurd h hμm_not
#align measure_theory.condexp_of_not_sigma_finite MeasureTheory.condexp_of_not_sigmaFinite
theorem condexp_of_sigmaFinite (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] :
μ[f|m] =
if Integrable f μ then
if StronglyMeasurable[m] f then f
else aestronglyMeasurable'_condexpL1.mk (condexpL1 hm μ f)
else 0 := by
rw [condexp, dif_pos hm]
simp only [hμm, Ne, true_and_iff]
by_cases hf : Integrable f μ
· rw [dif_pos hf, if_pos hf]
· rw [dif_neg hf, if_neg hf]
#align measure_theory.condexp_of_sigma_finite MeasureTheory.condexp_of_sigmaFinite
theorem condexp_of_stronglyMeasurable (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] {f : α → F'}
(hf : StronglyMeasurable[m] f) (hfi : Integrable f μ) : μ[f|m] = f := by
rw [condexp_of_sigmaFinite hm, if_pos hfi, if_pos hf]
#align measure_theory.condexp_of_strongly_measurable MeasureTheory.condexp_of_stronglyMeasurable
theorem condexp_const (hm : m ≤ m0) (c : F') [IsFiniteMeasure μ] :
μ[fun _ : α => c|m] = fun _ => c :=
condexp_of_stronglyMeasurable hm (@stronglyMeasurable_const _ _ m _ _) (integrable_const c)
#align measure_theory.condexp_const MeasureTheory.condexp_const
theorem condexp_ae_eq_condexpL1 (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] (f : α → F') :
μ[f|m] =ᵐ[μ] condexpL1 hm μ f := by
rw [condexp_of_sigmaFinite hm]
by_cases hfi : Integrable f μ
· rw [if_pos hfi]
by_cases hfm : StronglyMeasurable[m] f
· rw [if_pos hfm]
exact (condexpL1_of_aestronglyMeasurable' (StronglyMeasurable.aeStronglyMeasurable' hfm)
hfi).symm
· rw [if_neg hfm]
exact (AEStronglyMeasurable'.ae_eq_mk aestronglyMeasurable'_condexpL1).symm
rw [if_neg hfi, condexpL1_undef hfi]
exact (coeFn_zero _ _ _).symm
set_option linter.uppercaseLean3 false in
#align measure_theory.condexp_ae_eq_condexp_L1 MeasureTheory.condexp_ae_eq_condexpL1
theorem condexp_ae_eq_condexpL1CLM (hm : m ≤ m0) [SigmaFinite (μ.trim hm)] (hf : Integrable f μ) :
μ[f|m] =ᵐ[μ] condexpL1CLM F' hm μ (hf.toL1 f) := by
refine (condexp_ae_eq_condexpL1 hm f).trans (eventually_of_forall fun x => ?_)
rw [condexpL1_eq hf]
set_option linter.uppercaseLean3 false in
#align measure_theory.condexp_ae_eq_condexp_L1_clm MeasureTheory.condexp_ae_eq_condexpL1CLM
theorem condexp_undef (hf : ¬Integrable f μ) : μ[f|m] = 0 := by
by_cases hm : m ≤ m0
swap; · rw [condexp_of_not_le hm]
by_cases hμm : SigmaFinite (μ.trim hm)
swap; · rw [condexp_of_not_sigmaFinite hm hμm]
haveI : SigmaFinite (μ.trim hm) := hμm
rw [condexp_of_sigmaFinite, if_neg hf]
#align measure_theory.condexp_undef MeasureTheory.condexp_undef
@[simp]
theorem condexp_zero : μ[(0 : α → F')|m] = 0 := by
by_cases hm : m ≤ m0
swap; · rw [condexp_of_not_le hm]
by_cases hμm : SigmaFinite (μ.trim hm)
swap; · rw [condexp_of_not_sigmaFinite hm hμm]
haveI : SigmaFinite (μ.trim hm) := hμm
exact
condexp_of_stronglyMeasurable hm (@stronglyMeasurable_zero _ _ m _ _) (integrable_zero _ _ _)
#align measure_theory.condexp_zero MeasureTheory.condexp_zero
| Mathlib/MeasureTheory/Function/ConditionalExpectation/Basic.lean | 179 | 189 | theorem stronglyMeasurable_condexp : StronglyMeasurable[m] (μ[f|m]) := by |
by_cases hm : m ≤ m0
swap; · rw [condexp_of_not_le hm]; exact stronglyMeasurable_zero
by_cases hμm : SigmaFinite (μ.trim hm)
swap; · rw [condexp_of_not_sigmaFinite hm hμm]; exact stronglyMeasurable_zero
haveI : SigmaFinite (μ.trim hm) := hμm
rw [condexp_of_sigmaFinite hm]
split_ifs with hfi hfm
· exact hfm
· exact AEStronglyMeasurable'.stronglyMeasurable_mk _
· exact stronglyMeasurable_zero
| 10 | 22,026.465795 | 2 | 1.222222 | 9 | 1,296 |
import Mathlib.Algebra.Regular.Basic
import Mathlib.LinearAlgebra.Matrix.MvPolynomial
import Mathlib.LinearAlgebra.Matrix.Polynomial
import Mathlib.RingTheory.Polynomial.Basic
#align_import linear_algebra.matrix.adjugate from "leanprover-community/mathlib"@"a99f85220eaf38f14f94e04699943e185a5e1d1a"
namespace Matrix
universe u v w
variable {m : Type u} {n : Type v} {α : Type w}
variable [DecidableEq n] [Fintype n] [DecidableEq m] [Fintype m] [CommRing α]
open Matrix Polynomial Equiv Equiv.Perm Finset
section Cramer
variable (A : Matrix n n α) (b : n → α)
def cramerMap (i : n) : α :=
(A.updateColumn i b).det
#align matrix.cramer_map Matrix.cramerMap
theorem cramerMap_is_linear (i : n) : IsLinearMap α fun b => cramerMap A b i :=
{ map_add := det_updateColumn_add _ _
map_smul := det_updateColumn_smul _ _ }
#align matrix.cramer_map_is_linear Matrix.cramerMap_is_linear
| Mathlib/LinearAlgebra/Matrix/Adjugate.lean | 82 | 85 | theorem cramer_is_linear : IsLinearMap α (cramerMap A) := by |
constructor <;> intros <;> ext i
· apply (cramerMap_is_linear A i).1
· apply (cramerMap_is_linear A i).2
| 3 | 20.085537 | 1 | 1.222222 | 9 | 1,297 |
import Mathlib.Algebra.Regular.Basic
import Mathlib.LinearAlgebra.Matrix.MvPolynomial
import Mathlib.LinearAlgebra.Matrix.Polynomial
import Mathlib.RingTheory.Polynomial.Basic
#align_import linear_algebra.matrix.adjugate from "leanprover-community/mathlib"@"a99f85220eaf38f14f94e04699943e185a5e1d1a"
namespace Matrix
universe u v w
variable {m : Type u} {n : Type v} {α : Type w}
variable [DecidableEq n] [Fintype n] [DecidableEq m] [Fintype m] [CommRing α]
open Matrix Polynomial Equiv Equiv.Perm Finset
section Cramer
variable (A : Matrix n n α) (b : n → α)
def cramerMap (i : n) : α :=
(A.updateColumn i b).det
#align matrix.cramer_map Matrix.cramerMap
theorem cramerMap_is_linear (i : n) : IsLinearMap α fun b => cramerMap A b i :=
{ map_add := det_updateColumn_add _ _
map_smul := det_updateColumn_smul _ _ }
#align matrix.cramer_map_is_linear Matrix.cramerMap_is_linear
theorem cramer_is_linear : IsLinearMap α (cramerMap A) := by
constructor <;> intros <;> ext i
· apply (cramerMap_is_linear A i).1
· apply (cramerMap_is_linear A i).2
#align matrix.cramer_is_linear Matrix.cramer_is_linear
def cramer (A : Matrix n n α) : (n → α) →ₗ[α] (n → α) :=
IsLinearMap.mk' (cramerMap A) (cramer_is_linear A)
#align matrix.cramer Matrix.cramer
theorem cramer_apply (i : n) : cramer A b i = (A.updateColumn i b).det :=
rfl
#align matrix.cramer_apply Matrix.cramer_apply
| Mathlib/LinearAlgebra/Matrix/Adjugate.lean | 102 | 103 | theorem cramer_transpose_apply (i : n) : cramer Aᵀ b i = (A.updateRow i b).det := by |
rw [cramer_apply, updateColumn_transpose, det_transpose]
| 1 | 2.718282 | 0 | 1.222222 | 9 | 1,297 |
import Mathlib.Algebra.Regular.Basic
import Mathlib.LinearAlgebra.Matrix.MvPolynomial
import Mathlib.LinearAlgebra.Matrix.Polynomial
import Mathlib.RingTheory.Polynomial.Basic
#align_import linear_algebra.matrix.adjugate from "leanprover-community/mathlib"@"a99f85220eaf38f14f94e04699943e185a5e1d1a"
namespace Matrix
universe u v w
variable {m : Type u} {n : Type v} {α : Type w}
variable [DecidableEq n] [Fintype n] [DecidableEq m] [Fintype m] [CommRing α]
open Matrix Polynomial Equiv Equiv.Perm Finset
section Cramer
variable (A : Matrix n n α) (b : n → α)
def cramerMap (i : n) : α :=
(A.updateColumn i b).det
#align matrix.cramer_map Matrix.cramerMap
theorem cramerMap_is_linear (i : n) : IsLinearMap α fun b => cramerMap A b i :=
{ map_add := det_updateColumn_add _ _
map_smul := det_updateColumn_smul _ _ }
#align matrix.cramer_map_is_linear Matrix.cramerMap_is_linear
theorem cramer_is_linear : IsLinearMap α (cramerMap A) := by
constructor <;> intros <;> ext i
· apply (cramerMap_is_linear A i).1
· apply (cramerMap_is_linear A i).2
#align matrix.cramer_is_linear Matrix.cramer_is_linear
def cramer (A : Matrix n n α) : (n → α) →ₗ[α] (n → α) :=
IsLinearMap.mk' (cramerMap A) (cramer_is_linear A)
#align matrix.cramer Matrix.cramer
theorem cramer_apply (i : n) : cramer A b i = (A.updateColumn i b).det :=
rfl
#align matrix.cramer_apply Matrix.cramer_apply
theorem cramer_transpose_apply (i : n) : cramer Aᵀ b i = (A.updateRow i b).det := by
rw [cramer_apply, updateColumn_transpose, det_transpose]
#align matrix.cramer_transpose_apply Matrix.cramer_transpose_apply
| Mathlib/LinearAlgebra/Matrix/Adjugate.lean | 106 | 116 | theorem cramer_transpose_row_self (i : n) : Aᵀ.cramer (A i) = Pi.single i A.det := by |
ext j
rw [cramer_apply, Pi.single_apply]
split_ifs with h
· -- i = j: this entry should be `A.det`
subst h
simp only [updateColumn_transpose, det_transpose, updateRow_eq_self]
· -- i ≠ j: this entry should be 0
rw [updateColumn_transpose, det_transpose]
apply det_zero_of_row_eq h
rw [updateRow_self, updateRow_ne (Ne.symm h)]
| 10 | 22,026.465795 | 2 | 1.222222 | 9 | 1,297 |
import Mathlib.Algebra.Regular.Basic
import Mathlib.LinearAlgebra.Matrix.MvPolynomial
import Mathlib.LinearAlgebra.Matrix.Polynomial
import Mathlib.RingTheory.Polynomial.Basic
#align_import linear_algebra.matrix.adjugate from "leanprover-community/mathlib"@"a99f85220eaf38f14f94e04699943e185a5e1d1a"
namespace Matrix
universe u v w
variable {m : Type u} {n : Type v} {α : Type w}
variable [DecidableEq n] [Fintype n] [DecidableEq m] [Fintype m] [CommRing α]
open Matrix Polynomial Equiv Equiv.Perm Finset
section Cramer
variable (A : Matrix n n α) (b : n → α)
def cramerMap (i : n) : α :=
(A.updateColumn i b).det
#align matrix.cramer_map Matrix.cramerMap
theorem cramerMap_is_linear (i : n) : IsLinearMap α fun b => cramerMap A b i :=
{ map_add := det_updateColumn_add _ _
map_smul := det_updateColumn_smul _ _ }
#align matrix.cramer_map_is_linear Matrix.cramerMap_is_linear
theorem cramer_is_linear : IsLinearMap α (cramerMap A) := by
constructor <;> intros <;> ext i
· apply (cramerMap_is_linear A i).1
· apply (cramerMap_is_linear A i).2
#align matrix.cramer_is_linear Matrix.cramer_is_linear
def cramer (A : Matrix n n α) : (n → α) →ₗ[α] (n → α) :=
IsLinearMap.mk' (cramerMap A) (cramer_is_linear A)
#align matrix.cramer Matrix.cramer
theorem cramer_apply (i : n) : cramer A b i = (A.updateColumn i b).det :=
rfl
#align matrix.cramer_apply Matrix.cramer_apply
theorem cramer_transpose_apply (i : n) : cramer Aᵀ b i = (A.updateRow i b).det := by
rw [cramer_apply, updateColumn_transpose, det_transpose]
#align matrix.cramer_transpose_apply Matrix.cramer_transpose_apply
theorem cramer_transpose_row_self (i : n) : Aᵀ.cramer (A i) = Pi.single i A.det := by
ext j
rw [cramer_apply, Pi.single_apply]
split_ifs with h
· -- i = j: this entry should be `A.det`
subst h
simp only [updateColumn_transpose, det_transpose, updateRow_eq_self]
· -- i ≠ j: this entry should be 0
rw [updateColumn_transpose, det_transpose]
apply det_zero_of_row_eq h
rw [updateRow_self, updateRow_ne (Ne.symm h)]
#align matrix.cramer_transpose_row_self Matrix.cramer_transpose_row_self
| Mathlib/LinearAlgebra/Matrix/Adjugate.lean | 119 | 122 | theorem cramer_row_self (i : n) (h : ∀ j, b j = A j i) : A.cramer b = Pi.single i A.det := by |
rw [← transpose_transpose A, det_transpose]
convert cramer_transpose_row_self Aᵀ i
exact funext h
| 3 | 20.085537 | 1 | 1.222222 | 9 | 1,297 |
import Mathlib.Algebra.Regular.Basic
import Mathlib.LinearAlgebra.Matrix.MvPolynomial
import Mathlib.LinearAlgebra.Matrix.Polynomial
import Mathlib.RingTheory.Polynomial.Basic
#align_import linear_algebra.matrix.adjugate from "leanprover-community/mathlib"@"a99f85220eaf38f14f94e04699943e185a5e1d1a"
namespace Matrix
universe u v w
variable {m : Type u} {n : Type v} {α : Type w}
variable [DecidableEq n] [Fintype n] [DecidableEq m] [Fintype m] [CommRing α]
open Matrix Polynomial Equiv Equiv.Perm Finset
section Cramer
variable (A : Matrix n n α) (b : n → α)
def cramerMap (i : n) : α :=
(A.updateColumn i b).det
#align matrix.cramer_map Matrix.cramerMap
theorem cramerMap_is_linear (i : n) : IsLinearMap α fun b => cramerMap A b i :=
{ map_add := det_updateColumn_add _ _
map_smul := det_updateColumn_smul _ _ }
#align matrix.cramer_map_is_linear Matrix.cramerMap_is_linear
theorem cramer_is_linear : IsLinearMap α (cramerMap A) := by
constructor <;> intros <;> ext i
· apply (cramerMap_is_linear A i).1
· apply (cramerMap_is_linear A i).2
#align matrix.cramer_is_linear Matrix.cramer_is_linear
def cramer (A : Matrix n n α) : (n → α) →ₗ[α] (n → α) :=
IsLinearMap.mk' (cramerMap A) (cramer_is_linear A)
#align matrix.cramer Matrix.cramer
theorem cramer_apply (i : n) : cramer A b i = (A.updateColumn i b).det :=
rfl
#align matrix.cramer_apply Matrix.cramer_apply
theorem cramer_transpose_apply (i : n) : cramer Aᵀ b i = (A.updateRow i b).det := by
rw [cramer_apply, updateColumn_transpose, det_transpose]
#align matrix.cramer_transpose_apply Matrix.cramer_transpose_apply
theorem cramer_transpose_row_self (i : n) : Aᵀ.cramer (A i) = Pi.single i A.det := by
ext j
rw [cramer_apply, Pi.single_apply]
split_ifs with h
· -- i = j: this entry should be `A.det`
subst h
simp only [updateColumn_transpose, det_transpose, updateRow_eq_self]
· -- i ≠ j: this entry should be 0
rw [updateColumn_transpose, det_transpose]
apply det_zero_of_row_eq h
rw [updateRow_self, updateRow_ne (Ne.symm h)]
#align matrix.cramer_transpose_row_self Matrix.cramer_transpose_row_self
theorem cramer_row_self (i : n) (h : ∀ j, b j = A j i) : A.cramer b = Pi.single i A.det := by
rw [← transpose_transpose A, det_transpose]
convert cramer_transpose_row_self Aᵀ i
exact funext h
#align matrix.cramer_row_self Matrix.cramer_row_self
@[simp]
| Mathlib/LinearAlgebra/Matrix/Adjugate.lean | 126 | 132 | theorem cramer_one : cramer (1 : Matrix n n α) = 1 := by |
-- Porting note: was `ext i j`
refine LinearMap.pi_ext' (fun (i : n) => LinearMap.ext_ring (funext (fun (j : n) => ?_)))
convert congr_fun (cramer_row_self (1 : Matrix n n α) (Pi.single i 1) i _) j
· simp
· intro j
rw [Matrix.one_eq_pi_single, Pi.single_comm]
| 6 | 403.428793 | 2 | 1.222222 | 9 | 1,297 |
import Mathlib.Algebra.Regular.Basic
import Mathlib.LinearAlgebra.Matrix.MvPolynomial
import Mathlib.LinearAlgebra.Matrix.Polynomial
import Mathlib.RingTheory.Polynomial.Basic
#align_import linear_algebra.matrix.adjugate from "leanprover-community/mathlib"@"a99f85220eaf38f14f94e04699943e185a5e1d1a"
namespace Matrix
universe u v w
variable {m : Type u} {n : Type v} {α : Type w}
variable [DecidableEq n] [Fintype n] [DecidableEq m] [Fintype m] [CommRing α]
open Matrix Polynomial Equiv Equiv.Perm Finset
section Cramer
variable (A : Matrix n n α) (b : n → α)
def cramerMap (i : n) : α :=
(A.updateColumn i b).det
#align matrix.cramer_map Matrix.cramerMap
theorem cramerMap_is_linear (i : n) : IsLinearMap α fun b => cramerMap A b i :=
{ map_add := det_updateColumn_add _ _
map_smul := det_updateColumn_smul _ _ }
#align matrix.cramer_map_is_linear Matrix.cramerMap_is_linear
theorem cramer_is_linear : IsLinearMap α (cramerMap A) := by
constructor <;> intros <;> ext i
· apply (cramerMap_is_linear A i).1
· apply (cramerMap_is_linear A i).2
#align matrix.cramer_is_linear Matrix.cramer_is_linear
def cramer (A : Matrix n n α) : (n → α) →ₗ[α] (n → α) :=
IsLinearMap.mk' (cramerMap A) (cramer_is_linear A)
#align matrix.cramer Matrix.cramer
theorem cramer_apply (i : n) : cramer A b i = (A.updateColumn i b).det :=
rfl
#align matrix.cramer_apply Matrix.cramer_apply
theorem cramer_transpose_apply (i : n) : cramer Aᵀ b i = (A.updateRow i b).det := by
rw [cramer_apply, updateColumn_transpose, det_transpose]
#align matrix.cramer_transpose_apply Matrix.cramer_transpose_apply
theorem cramer_transpose_row_self (i : n) : Aᵀ.cramer (A i) = Pi.single i A.det := by
ext j
rw [cramer_apply, Pi.single_apply]
split_ifs with h
· -- i = j: this entry should be `A.det`
subst h
simp only [updateColumn_transpose, det_transpose, updateRow_eq_self]
· -- i ≠ j: this entry should be 0
rw [updateColumn_transpose, det_transpose]
apply det_zero_of_row_eq h
rw [updateRow_self, updateRow_ne (Ne.symm h)]
#align matrix.cramer_transpose_row_self Matrix.cramer_transpose_row_self
theorem cramer_row_self (i : n) (h : ∀ j, b j = A j i) : A.cramer b = Pi.single i A.det := by
rw [← transpose_transpose A, det_transpose]
convert cramer_transpose_row_self Aᵀ i
exact funext h
#align matrix.cramer_row_self Matrix.cramer_row_self
@[simp]
theorem cramer_one : cramer (1 : Matrix n n α) = 1 := by
-- Porting note: was `ext i j`
refine LinearMap.pi_ext' (fun (i : n) => LinearMap.ext_ring (funext (fun (j : n) => ?_)))
convert congr_fun (cramer_row_self (1 : Matrix n n α) (Pi.single i 1) i _) j
· simp
· intro j
rw [Matrix.one_eq_pi_single, Pi.single_comm]
#align matrix.cramer_one Matrix.cramer_one
theorem cramer_smul (r : α) (A : Matrix n n α) :
cramer (r • A) = r ^ (Fintype.card n - 1) • cramer A :=
LinearMap.ext fun _ => funext fun _ => det_updateColumn_smul' _ _ _ _
#align matrix.cramer_smul Matrix.cramer_smul
@[simp]
| Mathlib/LinearAlgebra/Matrix/Adjugate.lean | 141 | 142 | theorem cramer_subsingleton_apply [Subsingleton n] (A : Matrix n n α) (b : n → α) (i : n) :
cramer A b i = b i := by | rw [cramer_apply, det_eq_elem_of_subsingleton _ i, updateColumn_self]
| 1 | 2.718282 | 0 | 1.222222 | 9 | 1,297 |
import Mathlib.Algebra.Regular.Basic
import Mathlib.LinearAlgebra.Matrix.MvPolynomial
import Mathlib.LinearAlgebra.Matrix.Polynomial
import Mathlib.RingTheory.Polynomial.Basic
#align_import linear_algebra.matrix.adjugate from "leanprover-community/mathlib"@"a99f85220eaf38f14f94e04699943e185a5e1d1a"
namespace Matrix
universe u v w
variable {m : Type u} {n : Type v} {α : Type w}
variable [DecidableEq n] [Fintype n] [DecidableEq m] [Fintype m] [CommRing α]
open Matrix Polynomial Equiv Equiv.Perm Finset
section Cramer
variable (A : Matrix n n α) (b : n → α)
def cramerMap (i : n) : α :=
(A.updateColumn i b).det
#align matrix.cramer_map Matrix.cramerMap
theorem cramerMap_is_linear (i : n) : IsLinearMap α fun b => cramerMap A b i :=
{ map_add := det_updateColumn_add _ _
map_smul := det_updateColumn_smul _ _ }
#align matrix.cramer_map_is_linear Matrix.cramerMap_is_linear
theorem cramer_is_linear : IsLinearMap α (cramerMap A) := by
constructor <;> intros <;> ext i
· apply (cramerMap_is_linear A i).1
· apply (cramerMap_is_linear A i).2
#align matrix.cramer_is_linear Matrix.cramer_is_linear
def cramer (A : Matrix n n α) : (n → α) →ₗ[α] (n → α) :=
IsLinearMap.mk' (cramerMap A) (cramer_is_linear A)
#align matrix.cramer Matrix.cramer
theorem cramer_apply (i : n) : cramer A b i = (A.updateColumn i b).det :=
rfl
#align matrix.cramer_apply Matrix.cramer_apply
theorem cramer_transpose_apply (i : n) : cramer Aᵀ b i = (A.updateRow i b).det := by
rw [cramer_apply, updateColumn_transpose, det_transpose]
#align matrix.cramer_transpose_apply Matrix.cramer_transpose_apply
theorem cramer_transpose_row_self (i : n) : Aᵀ.cramer (A i) = Pi.single i A.det := by
ext j
rw [cramer_apply, Pi.single_apply]
split_ifs with h
· -- i = j: this entry should be `A.det`
subst h
simp only [updateColumn_transpose, det_transpose, updateRow_eq_self]
· -- i ≠ j: this entry should be 0
rw [updateColumn_transpose, det_transpose]
apply det_zero_of_row_eq h
rw [updateRow_self, updateRow_ne (Ne.symm h)]
#align matrix.cramer_transpose_row_self Matrix.cramer_transpose_row_self
theorem cramer_row_self (i : n) (h : ∀ j, b j = A j i) : A.cramer b = Pi.single i A.det := by
rw [← transpose_transpose A, det_transpose]
convert cramer_transpose_row_self Aᵀ i
exact funext h
#align matrix.cramer_row_self Matrix.cramer_row_self
@[simp]
theorem cramer_one : cramer (1 : Matrix n n α) = 1 := by
-- Porting note: was `ext i j`
refine LinearMap.pi_ext' (fun (i : n) => LinearMap.ext_ring (funext (fun (j : n) => ?_)))
convert congr_fun (cramer_row_self (1 : Matrix n n α) (Pi.single i 1) i _) j
· simp
· intro j
rw [Matrix.one_eq_pi_single, Pi.single_comm]
#align matrix.cramer_one Matrix.cramer_one
theorem cramer_smul (r : α) (A : Matrix n n α) :
cramer (r • A) = r ^ (Fintype.card n - 1) • cramer A :=
LinearMap.ext fun _ => funext fun _ => det_updateColumn_smul' _ _ _ _
#align matrix.cramer_smul Matrix.cramer_smul
@[simp]
theorem cramer_subsingleton_apply [Subsingleton n] (A : Matrix n n α) (b : n → α) (i : n) :
cramer A b i = b i := by rw [cramer_apply, det_eq_elem_of_subsingleton _ i, updateColumn_self]
#align matrix.cramer_subsingleton_apply Matrix.cramer_subsingleton_apply
| Mathlib/LinearAlgebra/Matrix/Adjugate.lean | 145 | 150 | theorem cramer_zero [Nontrivial n] : cramer (0 : Matrix n n α) = 0 := by |
ext i j
obtain ⟨j', hj'⟩ : ∃ j', j' ≠ j := exists_ne j
apply det_eq_zero_of_column_eq_zero j'
intro j''
simp [updateColumn_ne hj']
| 5 | 148.413159 | 2 | 1.222222 | 9 | 1,297 |
import Mathlib.Algebra.Regular.Basic
import Mathlib.LinearAlgebra.Matrix.MvPolynomial
import Mathlib.LinearAlgebra.Matrix.Polynomial
import Mathlib.RingTheory.Polynomial.Basic
#align_import linear_algebra.matrix.adjugate from "leanprover-community/mathlib"@"a99f85220eaf38f14f94e04699943e185a5e1d1a"
namespace Matrix
universe u v w
variable {m : Type u} {n : Type v} {α : Type w}
variable [DecidableEq n] [Fintype n] [DecidableEq m] [Fintype m] [CommRing α]
open Matrix Polynomial Equiv Equiv.Perm Finset
section Cramer
variable (A : Matrix n n α) (b : n → α)
def cramerMap (i : n) : α :=
(A.updateColumn i b).det
#align matrix.cramer_map Matrix.cramerMap
theorem cramerMap_is_linear (i : n) : IsLinearMap α fun b => cramerMap A b i :=
{ map_add := det_updateColumn_add _ _
map_smul := det_updateColumn_smul _ _ }
#align matrix.cramer_map_is_linear Matrix.cramerMap_is_linear
theorem cramer_is_linear : IsLinearMap α (cramerMap A) := by
constructor <;> intros <;> ext i
· apply (cramerMap_is_linear A i).1
· apply (cramerMap_is_linear A i).2
#align matrix.cramer_is_linear Matrix.cramer_is_linear
def cramer (A : Matrix n n α) : (n → α) →ₗ[α] (n → α) :=
IsLinearMap.mk' (cramerMap A) (cramer_is_linear A)
#align matrix.cramer Matrix.cramer
theorem cramer_apply (i : n) : cramer A b i = (A.updateColumn i b).det :=
rfl
#align matrix.cramer_apply Matrix.cramer_apply
theorem cramer_transpose_apply (i : n) : cramer Aᵀ b i = (A.updateRow i b).det := by
rw [cramer_apply, updateColumn_transpose, det_transpose]
#align matrix.cramer_transpose_apply Matrix.cramer_transpose_apply
theorem cramer_transpose_row_self (i : n) : Aᵀ.cramer (A i) = Pi.single i A.det := by
ext j
rw [cramer_apply, Pi.single_apply]
split_ifs with h
· -- i = j: this entry should be `A.det`
subst h
simp only [updateColumn_transpose, det_transpose, updateRow_eq_self]
· -- i ≠ j: this entry should be 0
rw [updateColumn_transpose, det_transpose]
apply det_zero_of_row_eq h
rw [updateRow_self, updateRow_ne (Ne.symm h)]
#align matrix.cramer_transpose_row_self Matrix.cramer_transpose_row_self
theorem cramer_row_self (i : n) (h : ∀ j, b j = A j i) : A.cramer b = Pi.single i A.det := by
rw [← transpose_transpose A, det_transpose]
convert cramer_transpose_row_self Aᵀ i
exact funext h
#align matrix.cramer_row_self Matrix.cramer_row_self
@[simp]
theorem cramer_one : cramer (1 : Matrix n n α) = 1 := by
-- Porting note: was `ext i j`
refine LinearMap.pi_ext' (fun (i : n) => LinearMap.ext_ring (funext (fun (j : n) => ?_)))
convert congr_fun (cramer_row_self (1 : Matrix n n α) (Pi.single i 1) i _) j
· simp
· intro j
rw [Matrix.one_eq_pi_single, Pi.single_comm]
#align matrix.cramer_one Matrix.cramer_one
theorem cramer_smul (r : α) (A : Matrix n n α) :
cramer (r • A) = r ^ (Fintype.card n - 1) • cramer A :=
LinearMap.ext fun _ => funext fun _ => det_updateColumn_smul' _ _ _ _
#align matrix.cramer_smul Matrix.cramer_smul
@[simp]
theorem cramer_subsingleton_apply [Subsingleton n] (A : Matrix n n α) (b : n → α) (i : n) :
cramer A b i = b i := by rw [cramer_apply, det_eq_elem_of_subsingleton _ i, updateColumn_self]
#align matrix.cramer_subsingleton_apply Matrix.cramer_subsingleton_apply
theorem cramer_zero [Nontrivial n] : cramer (0 : Matrix n n α) = 0 := by
ext i j
obtain ⟨j', hj'⟩ : ∃ j', j' ≠ j := exists_ne j
apply det_eq_zero_of_column_eq_zero j'
intro j''
simp [updateColumn_ne hj']
#align matrix.cramer_zero Matrix.cramer_zero
theorem sum_cramer {β} (s : Finset β) (f : β → n → α) :
(∑ x ∈ s, cramer A (f x)) = cramer A (∑ x ∈ s, f x) :=
(map_sum (cramer A) ..).symm
#align matrix.sum_cramer Matrix.sum_cramer
| Mathlib/LinearAlgebra/Matrix/Adjugate.lean | 160 | 170 | theorem sum_cramer_apply {β} (s : Finset β) (f : n → β → α) (i : n) :
(∑ x ∈ s, cramer A (fun j => f j x) i) = cramer A (fun j : n => ∑ x ∈ s, f j x) i :=
calc
(∑ x ∈ s, cramer A (fun j => f j x) i) = (∑ x ∈ s, cramer A fun j => f j x) i :=
(Finset.sum_apply i s _).symm
_ = cramer A (fun j : n => ∑ x ∈ s, f j x) i := by |
rw [sum_cramer, cramer_apply, cramer_apply]
simp only [updateColumn]
congr with j
congr
apply Finset.sum_apply
| 5 | 148.413159 | 2 | 1.222222 | 9 | 1,297 |
import Mathlib.Algebra.Regular.Basic
import Mathlib.LinearAlgebra.Matrix.MvPolynomial
import Mathlib.LinearAlgebra.Matrix.Polynomial
import Mathlib.RingTheory.Polynomial.Basic
#align_import linear_algebra.matrix.adjugate from "leanprover-community/mathlib"@"a99f85220eaf38f14f94e04699943e185a5e1d1a"
namespace Matrix
universe u v w
variable {m : Type u} {n : Type v} {α : Type w}
variable [DecidableEq n] [Fintype n] [DecidableEq m] [Fintype m] [CommRing α]
open Matrix Polynomial Equiv Equiv.Perm Finset
section Cramer
variable (A : Matrix n n α) (b : n → α)
def cramerMap (i : n) : α :=
(A.updateColumn i b).det
#align matrix.cramer_map Matrix.cramerMap
theorem cramerMap_is_linear (i : n) : IsLinearMap α fun b => cramerMap A b i :=
{ map_add := det_updateColumn_add _ _
map_smul := det_updateColumn_smul _ _ }
#align matrix.cramer_map_is_linear Matrix.cramerMap_is_linear
theorem cramer_is_linear : IsLinearMap α (cramerMap A) := by
constructor <;> intros <;> ext i
· apply (cramerMap_is_linear A i).1
· apply (cramerMap_is_linear A i).2
#align matrix.cramer_is_linear Matrix.cramer_is_linear
def cramer (A : Matrix n n α) : (n → α) →ₗ[α] (n → α) :=
IsLinearMap.mk' (cramerMap A) (cramer_is_linear A)
#align matrix.cramer Matrix.cramer
theorem cramer_apply (i : n) : cramer A b i = (A.updateColumn i b).det :=
rfl
#align matrix.cramer_apply Matrix.cramer_apply
theorem cramer_transpose_apply (i : n) : cramer Aᵀ b i = (A.updateRow i b).det := by
rw [cramer_apply, updateColumn_transpose, det_transpose]
#align matrix.cramer_transpose_apply Matrix.cramer_transpose_apply
theorem cramer_transpose_row_self (i : n) : Aᵀ.cramer (A i) = Pi.single i A.det := by
ext j
rw [cramer_apply, Pi.single_apply]
split_ifs with h
· -- i = j: this entry should be `A.det`
subst h
simp only [updateColumn_transpose, det_transpose, updateRow_eq_self]
· -- i ≠ j: this entry should be 0
rw [updateColumn_transpose, det_transpose]
apply det_zero_of_row_eq h
rw [updateRow_self, updateRow_ne (Ne.symm h)]
#align matrix.cramer_transpose_row_self Matrix.cramer_transpose_row_self
theorem cramer_row_self (i : n) (h : ∀ j, b j = A j i) : A.cramer b = Pi.single i A.det := by
rw [← transpose_transpose A, det_transpose]
convert cramer_transpose_row_self Aᵀ i
exact funext h
#align matrix.cramer_row_self Matrix.cramer_row_self
@[simp]
theorem cramer_one : cramer (1 : Matrix n n α) = 1 := by
-- Porting note: was `ext i j`
refine LinearMap.pi_ext' (fun (i : n) => LinearMap.ext_ring (funext (fun (j : n) => ?_)))
convert congr_fun (cramer_row_self (1 : Matrix n n α) (Pi.single i 1) i _) j
· simp
· intro j
rw [Matrix.one_eq_pi_single, Pi.single_comm]
#align matrix.cramer_one Matrix.cramer_one
theorem cramer_smul (r : α) (A : Matrix n n α) :
cramer (r • A) = r ^ (Fintype.card n - 1) • cramer A :=
LinearMap.ext fun _ => funext fun _ => det_updateColumn_smul' _ _ _ _
#align matrix.cramer_smul Matrix.cramer_smul
@[simp]
theorem cramer_subsingleton_apply [Subsingleton n] (A : Matrix n n α) (b : n → α) (i : n) :
cramer A b i = b i := by rw [cramer_apply, det_eq_elem_of_subsingleton _ i, updateColumn_self]
#align matrix.cramer_subsingleton_apply Matrix.cramer_subsingleton_apply
theorem cramer_zero [Nontrivial n] : cramer (0 : Matrix n n α) = 0 := by
ext i j
obtain ⟨j', hj'⟩ : ∃ j', j' ≠ j := exists_ne j
apply det_eq_zero_of_column_eq_zero j'
intro j''
simp [updateColumn_ne hj']
#align matrix.cramer_zero Matrix.cramer_zero
theorem sum_cramer {β} (s : Finset β) (f : β → n → α) :
(∑ x ∈ s, cramer A (f x)) = cramer A (∑ x ∈ s, f x) :=
(map_sum (cramer A) ..).symm
#align matrix.sum_cramer Matrix.sum_cramer
theorem sum_cramer_apply {β} (s : Finset β) (f : n → β → α) (i : n) :
(∑ x ∈ s, cramer A (fun j => f j x) i) = cramer A (fun j : n => ∑ x ∈ s, f j x) i :=
calc
(∑ x ∈ s, cramer A (fun j => f j x) i) = (∑ x ∈ s, cramer A fun j => f j x) i :=
(Finset.sum_apply i s _).symm
_ = cramer A (fun j : n => ∑ x ∈ s, f j x) i := by
rw [sum_cramer, cramer_apply, cramer_apply]
simp only [updateColumn]
congr with j
congr
apply Finset.sum_apply
#align matrix.sum_cramer_apply Matrix.sum_cramer_apply
| Mathlib/LinearAlgebra/Matrix/Adjugate.lean | 173 | 177 | theorem cramer_submatrix_equiv (A : Matrix m m α) (e : n ≃ m) (b : n → α) :
cramer (A.submatrix e e) b = cramer A (b ∘ e.symm) ∘ e := by |
ext i
simp_rw [Function.comp_apply, cramer_apply, updateColumn_submatrix_equiv,
det_submatrix_equiv_self e, Function.comp]
| 3 | 20.085537 | 1 | 1.222222 | 9 | 1,297 |
import Mathlib.Analysis.Normed.Order.Basic
import Mathlib.Analysis.Asymptotics.Asymptotics
import Mathlib.Analysis.NormedSpace.Basic
#align_import analysis.asymptotics.specific_asymptotics from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Filter Asymptotics
open Topology
section NormedField
| Mathlib/Analysis/Asymptotics/SpecificAsymptotics.lean | 28 | 33 | theorem Filter.IsBoundedUnder.isLittleO_sub_self_inv {𝕜 E : Type*} [NormedField 𝕜] [Norm E] {a : 𝕜}
{f : 𝕜 → E} (h : IsBoundedUnder (· ≤ ·) (𝓝[≠] a) (norm ∘ f)) :
f =o[𝓝[≠] a] fun x => (x - a)⁻¹ := by |
refine (h.isBigO_const (one_ne_zero' ℝ)).trans_isLittleO (isLittleO_const_left.2 <| Or.inr ?_)
simp only [(· ∘ ·), norm_inv]
exact (tendsto_norm_sub_self_punctured_nhds a).inv_tendsto_zero
| 3 | 20.085537 | 1 | 1.25 | 8 | 1,299 |
import Mathlib.Analysis.Normed.Order.Basic
import Mathlib.Analysis.Asymptotics.Asymptotics
import Mathlib.Analysis.NormedSpace.Basic
#align_import analysis.asymptotics.specific_asymptotics from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Filter Asymptotics
open Topology
section LinearOrderedField
variable {𝕜 : Type*} [LinearOrderedField 𝕜]
| Mathlib/Analysis/Asymptotics/SpecificAsymptotics.lean | 42 | 46 | theorem pow_div_pow_eventuallyEq_atTop {p q : ℕ} :
(fun x : 𝕜 => x ^ p / x ^ q) =ᶠ[atTop] fun x => x ^ ((p : ℤ) - q) := by |
apply (eventually_gt_atTop (0 : 𝕜)).mono fun x hx => _
intro x hx
simp [zpow_sub₀ hx.ne']
| 3 | 20.085537 | 1 | 1.25 | 8 | 1,299 |
import Mathlib.Analysis.Normed.Order.Basic
import Mathlib.Analysis.Asymptotics.Asymptotics
import Mathlib.Analysis.NormedSpace.Basic
#align_import analysis.asymptotics.specific_asymptotics from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Filter Asymptotics
open Topology
section LinearOrderedField
variable {𝕜 : Type*} [LinearOrderedField 𝕜]
theorem pow_div_pow_eventuallyEq_atTop {p q : ℕ} :
(fun x : 𝕜 => x ^ p / x ^ q) =ᶠ[atTop] fun x => x ^ ((p : ℤ) - q) := by
apply (eventually_gt_atTop (0 : 𝕜)).mono fun x hx => _
intro x hx
simp [zpow_sub₀ hx.ne']
#align pow_div_pow_eventually_eq_at_top pow_div_pow_eventuallyEq_atTop
| Mathlib/Analysis/Asymptotics/SpecificAsymptotics.lean | 49 | 53 | theorem pow_div_pow_eventuallyEq_atBot {p q : ℕ} :
(fun x : 𝕜 => x ^ p / x ^ q) =ᶠ[atBot] fun x => x ^ ((p : ℤ) - q) := by |
apply (eventually_lt_atBot (0 : 𝕜)).mono fun x hx => _
intro x hx
simp [zpow_sub₀ hx.ne]
| 3 | 20.085537 | 1 | 1.25 | 8 | 1,299 |
import Mathlib.Analysis.Normed.Order.Basic
import Mathlib.Analysis.Asymptotics.Asymptotics
import Mathlib.Analysis.NormedSpace.Basic
#align_import analysis.asymptotics.specific_asymptotics from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Filter Asymptotics
open Topology
section LinearOrderedField
variable {𝕜 : Type*} [LinearOrderedField 𝕜]
theorem pow_div_pow_eventuallyEq_atTop {p q : ℕ} :
(fun x : 𝕜 => x ^ p / x ^ q) =ᶠ[atTop] fun x => x ^ ((p : ℤ) - q) := by
apply (eventually_gt_atTop (0 : 𝕜)).mono fun x hx => _
intro x hx
simp [zpow_sub₀ hx.ne']
#align pow_div_pow_eventually_eq_at_top pow_div_pow_eventuallyEq_atTop
theorem pow_div_pow_eventuallyEq_atBot {p q : ℕ} :
(fun x : 𝕜 => x ^ p / x ^ q) =ᶠ[atBot] fun x => x ^ ((p : ℤ) - q) := by
apply (eventually_lt_atBot (0 : 𝕜)).mono fun x hx => _
intro x hx
simp [zpow_sub₀ hx.ne]
#align pow_div_pow_eventually_eq_at_bot pow_div_pow_eventuallyEq_atBot
| Mathlib/Analysis/Asymptotics/SpecificAsymptotics.lean | 56 | 60 | theorem tendsto_pow_div_pow_atTop_atTop {p q : ℕ} (hpq : q < p) :
Tendsto (fun x : 𝕜 => x ^ p / x ^ q) atTop atTop := by |
rw [tendsto_congr' pow_div_pow_eventuallyEq_atTop]
apply tendsto_zpow_atTop_atTop
omega
| 3 | 20.085537 | 1 | 1.25 | 8 | 1,299 |
import Mathlib.Analysis.Normed.Order.Basic
import Mathlib.Analysis.Asymptotics.Asymptotics
import Mathlib.Analysis.NormedSpace.Basic
#align_import analysis.asymptotics.specific_asymptotics from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Filter Asymptotics
open Topology
section LinearOrderedField
variable {𝕜 : Type*} [LinearOrderedField 𝕜]
theorem pow_div_pow_eventuallyEq_atTop {p q : ℕ} :
(fun x : 𝕜 => x ^ p / x ^ q) =ᶠ[atTop] fun x => x ^ ((p : ℤ) - q) := by
apply (eventually_gt_atTop (0 : 𝕜)).mono fun x hx => _
intro x hx
simp [zpow_sub₀ hx.ne']
#align pow_div_pow_eventually_eq_at_top pow_div_pow_eventuallyEq_atTop
theorem pow_div_pow_eventuallyEq_atBot {p q : ℕ} :
(fun x : 𝕜 => x ^ p / x ^ q) =ᶠ[atBot] fun x => x ^ ((p : ℤ) - q) := by
apply (eventually_lt_atBot (0 : 𝕜)).mono fun x hx => _
intro x hx
simp [zpow_sub₀ hx.ne]
#align pow_div_pow_eventually_eq_at_bot pow_div_pow_eventuallyEq_atBot
theorem tendsto_pow_div_pow_atTop_atTop {p q : ℕ} (hpq : q < p) :
Tendsto (fun x : 𝕜 => x ^ p / x ^ q) atTop atTop := by
rw [tendsto_congr' pow_div_pow_eventuallyEq_atTop]
apply tendsto_zpow_atTop_atTop
omega
#align tendsto_pow_div_pow_at_top_at_top tendsto_pow_div_pow_atTop_atTop
| Mathlib/Analysis/Asymptotics/SpecificAsymptotics.lean | 63 | 67 | theorem tendsto_pow_div_pow_atTop_zero [TopologicalSpace 𝕜] [OrderTopology 𝕜] {p q : ℕ}
(hpq : p < q) : Tendsto (fun x : 𝕜 => x ^ p / x ^ q) atTop (𝓝 0) := by |
rw [tendsto_congr' pow_div_pow_eventuallyEq_atTop]
apply tendsto_zpow_atTop_zero
omega
| 3 | 20.085537 | 1 | 1.25 | 8 | 1,299 |
import Mathlib.Analysis.Normed.Order.Basic
import Mathlib.Analysis.Asymptotics.Asymptotics
import Mathlib.Analysis.NormedSpace.Basic
#align_import analysis.asymptotics.specific_asymptotics from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Filter Asymptotics
open Topology
section Real
open Finset
| Mathlib/Analysis/Asymptotics/SpecificAsymptotics.lean | 98 | 128 | theorem Asymptotics.IsLittleO.sum_range {α : Type*} [NormedAddCommGroup α] {f : ℕ → α} {g : ℕ → ℝ}
(h : f =o[atTop] g) (hg : 0 ≤ g) (h'g : Tendsto (fun n => ∑ i ∈ range n, g i) atTop atTop) :
(fun n => ∑ i ∈ range n, f i) =o[atTop] fun n => ∑ i ∈ range n, g i := by |
have A : ∀ i, ‖g i‖ = g i := fun i => Real.norm_of_nonneg (hg i)
have B : ∀ n, ‖∑ i ∈ range n, g i‖ = ∑ i ∈ range n, g i := fun n => by
rwa [Real.norm_eq_abs, abs_sum_of_nonneg']
apply isLittleO_iff.2 fun ε εpos => _
intro ε εpos
obtain ⟨N, hN⟩ : ∃ N : ℕ, ∀ b : ℕ, N ≤ b → ‖f b‖ ≤ ε / 2 * g b := by
simpa only [A, eventually_atTop] using isLittleO_iff.mp h (half_pos εpos)
have : (fun _ : ℕ => ∑ i ∈ range N, f i) =o[atTop] fun n : ℕ => ∑ i ∈ range n, g i := by
apply isLittleO_const_left.2
exact Or.inr (h'g.congr fun n => (B n).symm)
filter_upwards [isLittleO_iff.1 this (half_pos εpos), Ici_mem_atTop N] with n hn Nn
calc
‖∑ i ∈ range n, f i‖ = ‖(∑ i ∈ range N, f i) + ∑ i ∈ Ico N n, f i‖ := by
rw [sum_range_add_sum_Ico _ Nn]
_ ≤ ‖∑ i ∈ range N, f i‖ + ‖∑ i ∈ Ico N n, f i‖ := norm_add_le _ _
_ ≤ ‖∑ i ∈ range N, f i‖ + ∑ i ∈ Ico N n, ε / 2 * g i :=
(add_le_add le_rfl (norm_sum_le_of_le _ fun i hi => hN _ (mem_Ico.1 hi).1))
_ ≤ ‖∑ i ∈ range N, f i‖ + ∑ i ∈ range n, ε / 2 * g i := by
gcongr
apply sum_le_sum_of_subset_of_nonneg
· rw [range_eq_Ico]
exact Ico_subset_Ico (zero_le _) le_rfl
· intro i _ _
exact mul_nonneg (half_pos εpos).le (hg i)
_ ≤ ε / 2 * ‖∑ i ∈ range n, g i‖ + ε / 2 * ∑ i ∈ range n, g i := by rw [← mul_sum]; gcongr
_ = ε * ‖∑ i ∈ range n, g i‖ := by
simp only [B]
ring
| 28 | 1,446,257,064,291.475 | 2 | 1.25 | 8 | 1,299 |
import Mathlib.Analysis.Normed.Order.Basic
import Mathlib.Analysis.Asymptotics.Asymptotics
import Mathlib.Analysis.NormedSpace.Basic
#align_import analysis.asymptotics.specific_asymptotics from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Filter Asymptotics
open Topology
section Real
open Finset
theorem Asymptotics.IsLittleO.sum_range {α : Type*} [NormedAddCommGroup α] {f : ℕ → α} {g : ℕ → ℝ}
(h : f =o[atTop] g) (hg : 0 ≤ g) (h'g : Tendsto (fun n => ∑ i ∈ range n, g i) atTop atTop) :
(fun n => ∑ i ∈ range n, f i) =o[atTop] fun n => ∑ i ∈ range n, g i := by
have A : ∀ i, ‖g i‖ = g i := fun i => Real.norm_of_nonneg (hg i)
have B : ∀ n, ‖∑ i ∈ range n, g i‖ = ∑ i ∈ range n, g i := fun n => by
rwa [Real.norm_eq_abs, abs_sum_of_nonneg']
apply isLittleO_iff.2 fun ε εpos => _
intro ε εpos
obtain ⟨N, hN⟩ : ∃ N : ℕ, ∀ b : ℕ, N ≤ b → ‖f b‖ ≤ ε / 2 * g b := by
simpa only [A, eventually_atTop] using isLittleO_iff.mp h (half_pos εpos)
have : (fun _ : ℕ => ∑ i ∈ range N, f i) =o[atTop] fun n : ℕ => ∑ i ∈ range n, g i := by
apply isLittleO_const_left.2
exact Or.inr (h'g.congr fun n => (B n).symm)
filter_upwards [isLittleO_iff.1 this (half_pos εpos), Ici_mem_atTop N] with n hn Nn
calc
‖∑ i ∈ range n, f i‖ = ‖(∑ i ∈ range N, f i) + ∑ i ∈ Ico N n, f i‖ := by
rw [sum_range_add_sum_Ico _ Nn]
_ ≤ ‖∑ i ∈ range N, f i‖ + ‖∑ i ∈ Ico N n, f i‖ := norm_add_le _ _
_ ≤ ‖∑ i ∈ range N, f i‖ + ∑ i ∈ Ico N n, ε / 2 * g i :=
(add_le_add le_rfl (norm_sum_le_of_le _ fun i hi => hN _ (mem_Ico.1 hi).1))
_ ≤ ‖∑ i ∈ range N, f i‖ + ∑ i ∈ range n, ε / 2 * g i := by
gcongr
apply sum_le_sum_of_subset_of_nonneg
· rw [range_eq_Ico]
exact Ico_subset_Ico (zero_le _) le_rfl
· intro i _ _
exact mul_nonneg (half_pos εpos).le (hg i)
_ ≤ ε / 2 * ‖∑ i ∈ range n, g i‖ + ε / 2 * ∑ i ∈ range n, g i := by rw [← mul_sum]; gcongr
_ = ε * ‖∑ i ∈ range n, g i‖ := by
simp only [B]
ring
#align asymptotics.is_o.sum_range Asymptotics.IsLittleO.sum_range
| Mathlib/Analysis/Asymptotics/SpecificAsymptotics.lean | 131 | 136 | theorem Asymptotics.isLittleO_sum_range_of_tendsto_zero {α : Type*} [NormedAddCommGroup α]
{f : ℕ → α} (h : Tendsto f atTop (𝓝 0)) :
(fun n => ∑ i ∈ range n, f i) =o[atTop] fun n => (n : ℝ) := by |
have := ((isLittleO_one_iff ℝ).2 h).sum_range fun i => zero_le_one
simp only [sum_const, card_range, Nat.smul_one_eq_cast] at this
exact this tendsto_natCast_atTop_atTop
| 3 | 20.085537 | 1 | 1.25 | 8 | 1,299 |
import Mathlib.Analysis.Normed.Order.Basic
import Mathlib.Analysis.Asymptotics.Asymptotics
import Mathlib.Analysis.NormedSpace.Basic
#align_import analysis.asymptotics.specific_asymptotics from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Filter Asymptotics
open Topology
section Real
open Finset
theorem Asymptotics.IsLittleO.sum_range {α : Type*} [NormedAddCommGroup α] {f : ℕ → α} {g : ℕ → ℝ}
(h : f =o[atTop] g) (hg : 0 ≤ g) (h'g : Tendsto (fun n => ∑ i ∈ range n, g i) atTop atTop) :
(fun n => ∑ i ∈ range n, f i) =o[atTop] fun n => ∑ i ∈ range n, g i := by
have A : ∀ i, ‖g i‖ = g i := fun i => Real.norm_of_nonneg (hg i)
have B : ∀ n, ‖∑ i ∈ range n, g i‖ = ∑ i ∈ range n, g i := fun n => by
rwa [Real.norm_eq_abs, abs_sum_of_nonneg']
apply isLittleO_iff.2 fun ε εpos => _
intro ε εpos
obtain ⟨N, hN⟩ : ∃ N : ℕ, ∀ b : ℕ, N ≤ b → ‖f b‖ ≤ ε / 2 * g b := by
simpa only [A, eventually_atTop] using isLittleO_iff.mp h (half_pos εpos)
have : (fun _ : ℕ => ∑ i ∈ range N, f i) =o[atTop] fun n : ℕ => ∑ i ∈ range n, g i := by
apply isLittleO_const_left.2
exact Or.inr (h'g.congr fun n => (B n).symm)
filter_upwards [isLittleO_iff.1 this (half_pos εpos), Ici_mem_atTop N] with n hn Nn
calc
‖∑ i ∈ range n, f i‖ = ‖(∑ i ∈ range N, f i) + ∑ i ∈ Ico N n, f i‖ := by
rw [sum_range_add_sum_Ico _ Nn]
_ ≤ ‖∑ i ∈ range N, f i‖ + ‖∑ i ∈ Ico N n, f i‖ := norm_add_le _ _
_ ≤ ‖∑ i ∈ range N, f i‖ + ∑ i ∈ Ico N n, ε / 2 * g i :=
(add_le_add le_rfl (norm_sum_le_of_le _ fun i hi => hN _ (mem_Ico.1 hi).1))
_ ≤ ‖∑ i ∈ range N, f i‖ + ∑ i ∈ range n, ε / 2 * g i := by
gcongr
apply sum_le_sum_of_subset_of_nonneg
· rw [range_eq_Ico]
exact Ico_subset_Ico (zero_le _) le_rfl
· intro i _ _
exact mul_nonneg (half_pos εpos).le (hg i)
_ ≤ ε / 2 * ‖∑ i ∈ range n, g i‖ + ε / 2 * ∑ i ∈ range n, g i := by rw [← mul_sum]; gcongr
_ = ε * ‖∑ i ∈ range n, g i‖ := by
simp only [B]
ring
#align asymptotics.is_o.sum_range Asymptotics.IsLittleO.sum_range
theorem Asymptotics.isLittleO_sum_range_of_tendsto_zero {α : Type*} [NormedAddCommGroup α]
{f : ℕ → α} (h : Tendsto f atTop (𝓝 0)) :
(fun n => ∑ i ∈ range n, f i) =o[atTop] fun n => (n : ℝ) := by
have := ((isLittleO_one_iff ℝ).2 h).sum_range fun i => zero_le_one
simp only [sum_const, card_range, Nat.smul_one_eq_cast] at this
exact this tendsto_natCast_atTop_atTop
#align asymptotics.is_o_sum_range_of_tendsto_zero Asymptotics.isLittleO_sum_range_of_tendsto_zero
| Mathlib/Analysis/Asymptotics/SpecificAsymptotics.lean | 140 | 152 | theorem Filter.Tendsto.cesaro_smul {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] {u : ℕ → E}
{l : E} (h : Tendsto u atTop (𝓝 l)) :
Tendsto (fun n : ℕ => (n⁻¹ : ℝ) • ∑ i ∈ range n, u i) atTop (𝓝 l) := by |
rw [← tendsto_sub_nhds_zero_iff, ← isLittleO_one_iff ℝ]
have := Asymptotics.isLittleO_sum_range_of_tendsto_zero (tendsto_sub_nhds_zero_iff.2 h)
apply ((isBigO_refl (fun n : ℕ => (n : ℝ)⁻¹) atTop).smul_isLittleO this).congr' _ _
· filter_upwards [Ici_mem_atTop 1] with n npos
have nposℝ : (0 : ℝ) < n := Nat.cast_pos.2 npos
simp only [smul_sub, sum_sub_distrib, sum_const, card_range, sub_right_inj]
rw [nsmul_eq_smul_cast ℝ, smul_smul, inv_mul_cancel nposℝ.ne', one_smul]
· filter_upwards [Ici_mem_atTop 1] with n npos
have nposℝ : (0 : ℝ) < n := Nat.cast_pos.2 npos
rw [Algebra.id.smul_eq_mul, inv_mul_cancel nposℝ.ne']
| 10 | 22,026.465795 | 2 | 1.25 | 8 | 1,299 |
import Mathlib.Algebra.GeomSum
import Mathlib.Algebra.Order.Ring.Basic
import Mathlib.Algebra.Ring.Int
import Mathlib.NumberTheory.Padics.PadicVal
import Mathlib.RingTheory.Ideal.Quotient
#align_import number_theory.multiplicity from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3"
open Ideal Ideal.Quotient Finset
variable {R : Type*} {n : ℕ}
section CommRing
variable [CommRing R] {a b x y : R}
| Mathlib/NumberTheory/Multiplicity.lean | 39 | 43 | theorem dvd_geom_sum₂_iff_of_dvd_sub {x y p : R} (h : p ∣ x - y) :
(p ∣ ∑ i ∈ range n, x ^ i * y ^ (n - 1 - i)) ↔ p ∣ n * y ^ (n - 1) := by |
rw [← mem_span_singleton, ← Ideal.Quotient.eq] at h
simp only [← mem_span_singleton, ← eq_zero_iff_mem, RingHom.map_geom_sum₂, h, geom_sum₂_self,
_root_.map_mul, map_pow, map_natCast]
| 3 | 20.085537 | 1 | 1.25 | 4 | 1,300 |
import Mathlib.Algebra.GeomSum
import Mathlib.Algebra.Order.Ring.Basic
import Mathlib.Algebra.Ring.Int
import Mathlib.NumberTheory.Padics.PadicVal
import Mathlib.RingTheory.Ideal.Quotient
#align_import number_theory.multiplicity from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3"
open Ideal Ideal.Quotient Finset
variable {R : Type*} {n : ℕ}
section CommRing
variable [CommRing R] {a b x y : R}
theorem dvd_geom_sum₂_iff_of_dvd_sub {x y p : R} (h : p ∣ x - y) :
(p ∣ ∑ i ∈ range n, x ^ i * y ^ (n - 1 - i)) ↔ p ∣ n * y ^ (n - 1) := by
rw [← mem_span_singleton, ← Ideal.Quotient.eq] at h
simp only [← mem_span_singleton, ← eq_zero_iff_mem, RingHom.map_geom_sum₂, h, geom_sum₂_self,
_root_.map_mul, map_pow, map_natCast]
#align dvd_geom_sum₂_iff_of_dvd_sub dvd_geom_sum₂_iff_of_dvd_sub
| Mathlib/NumberTheory/Multiplicity.lean | 46 | 48 | theorem dvd_geom_sum₂_iff_of_dvd_sub' {x y p : R} (h : p ∣ x - y) :
(p ∣ ∑ i ∈ range n, x ^ i * y ^ (n - 1 - i)) ↔ p ∣ n * x ^ (n - 1) := by |
rw [geom_sum₂_comm, dvd_geom_sum₂_iff_of_dvd_sub]; simpa using h.neg_right
| 1 | 2.718282 | 0 | 1.25 | 4 | 1,300 |
import Mathlib.Algebra.GeomSum
import Mathlib.Algebra.Order.Ring.Basic
import Mathlib.Algebra.Ring.Int
import Mathlib.NumberTheory.Padics.PadicVal
import Mathlib.RingTheory.Ideal.Quotient
#align_import number_theory.multiplicity from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3"
open Ideal Ideal.Quotient Finset
variable {R : Type*} {n : ℕ}
section CommRing
variable [CommRing R] {a b x y : R}
theorem dvd_geom_sum₂_iff_of_dvd_sub {x y p : R} (h : p ∣ x - y) :
(p ∣ ∑ i ∈ range n, x ^ i * y ^ (n - 1 - i)) ↔ p ∣ n * y ^ (n - 1) := by
rw [← mem_span_singleton, ← Ideal.Quotient.eq] at h
simp only [← mem_span_singleton, ← eq_zero_iff_mem, RingHom.map_geom_sum₂, h, geom_sum₂_self,
_root_.map_mul, map_pow, map_natCast]
#align dvd_geom_sum₂_iff_of_dvd_sub dvd_geom_sum₂_iff_of_dvd_sub
theorem dvd_geom_sum₂_iff_of_dvd_sub' {x y p : R} (h : p ∣ x - y) :
(p ∣ ∑ i ∈ range n, x ^ i * y ^ (n - 1 - i)) ↔ p ∣ n * x ^ (n - 1) := by
rw [geom_sum₂_comm, dvd_geom_sum₂_iff_of_dvd_sub]; simpa using h.neg_right
#align dvd_geom_sum₂_iff_of_dvd_sub' dvd_geom_sum₂_iff_of_dvd_sub'
theorem dvd_geom_sum₂_self {x y : R} (h : ↑n ∣ x - y) :
↑n ∣ ∑ i ∈ range n, x ^ i * y ^ (n - 1 - i) :=
(dvd_geom_sum₂_iff_of_dvd_sub h).mpr (dvd_mul_right _ _)
#align dvd_geom_sum₂_self dvd_geom_sum₂_self
| Mathlib/NumberTheory/Multiplicity.lean | 56 | 71 | theorem sq_dvd_add_pow_sub_sub (p x : R) (n : ℕ) :
p ^ 2 ∣ (x + p) ^ n - x ^ (n - 1) * p * n - x ^ n := by |
cases' n with n n
· simp only [pow_zero, Nat.cast_zero, sub_zero, sub_self, dvd_zero, Nat.zero_eq, mul_zero]
· simp only [Nat.succ_sub_succ_eq_sub, tsub_zero, Nat.cast_succ, add_pow, Finset.sum_range_succ,
Nat.choose_self, Nat.succ_sub _, tsub_self, pow_one, Nat.choose_succ_self_right, pow_zero,
mul_one, Nat.cast_zero, zero_add, Nat.succ_eq_add_one, add_tsub_cancel_left]
suffices p ^ 2 ∣ ∑ i ∈ range n, x ^ i * p ^ (n + 1 - i) * ↑((n + 1).choose i) by
convert this; abel
apply Finset.dvd_sum
intro y hy
calc
p ^ 2 ∣ p ^ (n + 1 - y) :=
pow_dvd_pow p (le_tsub_of_add_le_left (by linarith [Finset.mem_range.mp hy]))
_ ∣ x ^ y * p ^ (n + 1 - y) * ↑((n + 1).choose y) :=
dvd_mul_of_dvd_left (dvd_mul_left _ _) _
| 14 | 1,202,604.284165 | 2 | 1.25 | 4 | 1,300 |
import Mathlib.Algebra.GeomSum
import Mathlib.Algebra.Order.Ring.Basic
import Mathlib.Algebra.Ring.Int
import Mathlib.NumberTheory.Padics.PadicVal
import Mathlib.RingTheory.Ideal.Quotient
#align_import number_theory.multiplicity from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3"
open Ideal Ideal.Quotient Finset
variable {R : Type*} {n : ℕ}
section CommRing
variable [CommRing R] {a b x y : R}
theorem dvd_geom_sum₂_iff_of_dvd_sub {x y p : R} (h : p ∣ x - y) :
(p ∣ ∑ i ∈ range n, x ^ i * y ^ (n - 1 - i)) ↔ p ∣ n * y ^ (n - 1) := by
rw [← mem_span_singleton, ← Ideal.Quotient.eq] at h
simp only [← mem_span_singleton, ← eq_zero_iff_mem, RingHom.map_geom_sum₂, h, geom_sum₂_self,
_root_.map_mul, map_pow, map_natCast]
#align dvd_geom_sum₂_iff_of_dvd_sub dvd_geom_sum₂_iff_of_dvd_sub
theorem dvd_geom_sum₂_iff_of_dvd_sub' {x y p : R} (h : p ∣ x - y) :
(p ∣ ∑ i ∈ range n, x ^ i * y ^ (n - 1 - i)) ↔ p ∣ n * x ^ (n - 1) := by
rw [geom_sum₂_comm, dvd_geom_sum₂_iff_of_dvd_sub]; simpa using h.neg_right
#align dvd_geom_sum₂_iff_of_dvd_sub' dvd_geom_sum₂_iff_of_dvd_sub'
theorem dvd_geom_sum₂_self {x y : R} (h : ↑n ∣ x - y) :
↑n ∣ ∑ i ∈ range n, x ^ i * y ^ (n - 1 - i) :=
(dvd_geom_sum₂_iff_of_dvd_sub h).mpr (dvd_mul_right _ _)
#align dvd_geom_sum₂_self dvd_geom_sum₂_self
theorem sq_dvd_add_pow_sub_sub (p x : R) (n : ℕ) :
p ^ 2 ∣ (x + p) ^ n - x ^ (n - 1) * p * n - x ^ n := by
cases' n with n n
· simp only [pow_zero, Nat.cast_zero, sub_zero, sub_self, dvd_zero, Nat.zero_eq, mul_zero]
· simp only [Nat.succ_sub_succ_eq_sub, tsub_zero, Nat.cast_succ, add_pow, Finset.sum_range_succ,
Nat.choose_self, Nat.succ_sub _, tsub_self, pow_one, Nat.choose_succ_self_right, pow_zero,
mul_one, Nat.cast_zero, zero_add, Nat.succ_eq_add_one, add_tsub_cancel_left]
suffices p ^ 2 ∣ ∑ i ∈ range n, x ^ i * p ^ (n + 1 - i) * ↑((n + 1).choose i) by
convert this; abel
apply Finset.dvd_sum
intro y hy
calc
p ^ 2 ∣ p ^ (n + 1 - y) :=
pow_dvd_pow p (le_tsub_of_add_le_left (by linarith [Finset.mem_range.mp hy]))
_ ∣ x ^ y * p ^ (n + 1 - y) * ↑((n + 1).choose y) :=
dvd_mul_of_dvd_left (dvd_mul_left _ _) _
#align sq_dvd_add_pow_sub_sub sq_dvd_add_pow_sub_sub
theorem not_dvd_geom_sum₂ {p : R} (hp : Prime p) (hxy : p ∣ x - y) (hx : ¬p ∣ x) (hn : ¬p ∣ n) :
¬p ∣ ∑ i ∈ range n, x ^ i * y ^ (n - 1 - i) := fun h =>
hx <|
hp.dvd_of_dvd_pow <| (hp.dvd_or_dvd <| (dvd_geom_sum₂_iff_of_dvd_sub' hxy).mp h).resolve_left hn
#align not_dvd_geom_sum₂ not_dvd_geom_sum₂
variable {p : ℕ} (a b)
| Mathlib/NumberTheory/Multiplicity.lean | 82 | 146 | theorem odd_sq_dvd_geom_sum₂_sub (hp : Odd p) :
(p : R) ^ 2 ∣ (∑ i ∈ range p, (a + p * b) ^ i * a ^ (p - 1 - i)) - p * a ^ (p - 1) := by |
have h1 : ∀ (i : ℕ),
(p : R) ^ 2 ∣ (a + ↑p * b) ^ i - (a ^ (i - 1) * (↑p * b) * i + a ^ i) := by
intro i
calc
↑p ^ 2 ∣ (↑p * b) ^ 2 := by simp only [mul_pow, dvd_mul_right]
_ ∣ (a + ↑p * b) ^ i - (a ^ (i - 1) * (↑p * b) * ↑i + a ^ i) := by
simp only [sq_dvd_add_pow_sub_sub (↑p * b) a i, ← sub_sub]
simp_rw [← mem_span_singleton, ← Ideal.Quotient.eq] at *
let s : R := (p : R)^2
calc
(Ideal.Quotient.mk (span {s})) (∑ i ∈ range p, (a + (p : R) * b) ^ i * a ^ (p - 1 - i)) =
∑ i ∈ Finset.range p,
mk (span {s}) ((a ^ (i - 1) * (↑p * b) * ↑i + a ^ i) * a ^ (p - 1 - i)) := by
simp_rw [RingHom.map_geom_sum₂, ← map_pow, h1, ← _root_.map_mul]
_ =
mk (span {s})
(∑ x ∈ Finset.range p, a ^ (x - 1) * (a ^ (p - 1 - x) * (↑p * (b * ↑x)))) +
mk (span {s}) (∑ x ∈ Finset.range p, a ^ (x + (p - 1 - x))) := by
ring_nf
simp only [← pow_add, map_add, Finset.sum_add_distrib, ← map_sum]
congr
simp [pow_add a, mul_assoc]
_ =
mk (span {s})
(∑ x ∈ Finset.range p, a ^ (x - 1) * (a ^ (p - 1 - x) * (↑p * (b * ↑x)))) +
mk (span {s}) (∑ _x ∈ Finset.range p, a ^ (p - 1)) := by
rw [add_right_inj]
have : ∀ (x : ℕ), (hx : x ∈ range p) → a ^ (x + (p - 1 - x)) = a ^ (p - 1) := by
intro x hx
rw [← Nat.add_sub_assoc _ x, Nat.add_sub_cancel_left]
exact Nat.le_sub_one_of_lt (Finset.mem_range.mp hx)
rw [Finset.sum_congr rfl this]
_ =
mk (span {s})
(∑ x ∈ Finset.range p, a ^ (x - 1) * (a ^ (p - 1 - x) * (↑p * (b * ↑x)))) +
mk (span {s}) (↑p * a ^ (p - 1)) := by
simp only [add_right_inj, Finset.sum_const, Finset.card_range, nsmul_eq_mul]
_ =
mk (span {s}) (↑p * b * ∑ x ∈ Finset.range p, a ^ (p - 2) * x) +
mk (span {s}) (↑p * a ^ (p - 1)) := by
simp only [Finset.mul_sum, ← mul_assoc, ← pow_add]
rw [Finset.sum_congr rfl]
rintro (⟨⟩ | ⟨x⟩) hx
· rw [Nat.cast_zero, mul_zero, mul_zero]
· have : x.succ - 1 + (p - 1 - x.succ) = p - 2 := by
rw [← Nat.add_sub_assoc (Nat.le_sub_one_of_lt (Finset.mem_range.mp hx))]
exact congr_arg Nat.pred (Nat.add_sub_cancel_left _ _)
rw [this]
ring1
_ = mk (span {s}) (↑p * a ^ (p - 1)) := by
have : Finset.sum (range p) (fun (x : ℕ) ↦ (x : R)) =
((Finset.sum (range p) (fun (x : ℕ) ↦ (x : ℕ)))) := by simp only [Nat.cast_sum]
simp only [add_left_eq_self, ← Finset.mul_sum, this]
norm_cast
simp only [Finset.sum_range_id]
norm_cast
simp only [Nat.cast_mul, _root_.map_mul,
Nat.mul_div_assoc p (even_iff_two_dvd.mp (Nat.Odd.sub_odd hp odd_one))]
ring_nf
rw [mul_assoc, mul_assoc]
refine mul_eq_zero_of_left ?_ _
refine Ideal.Quotient.eq_zero_iff_mem.mpr ?_
simp [mem_span_singleton]
| 63 | 2,293,783,159,469,610,000,000,000,000 | 2 | 1.25 | 4 | 1,300 |
import Mathlib.Analysis.Calculus.FDeriv.Basic
#align_import analysis.calculus.fderiv.restrict_scalars from "leanprover-community/mathlib"@"e3fb84046afd187b710170887195d50bada934ee"
open Filter Asymptotics ContinuousLinearMap Set Metric
open scoped Classical
open Topology NNReal Filter Asymptotics ENNReal
noncomputable section
section RestrictScalars
variable (𝕜 : Type*) [NontriviallyNormedField 𝕜]
variable {𝕜' : Type*} [NontriviallyNormedField 𝕜'] [NormedAlgebra 𝕜 𝕜']
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] [NormedSpace 𝕜' E]
variable [IsScalarTower 𝕜 𝕜' E]
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] [NormedSpace 𝕜' F]
variable [IsScalarTower 𝕜 𝕜' F]
variable {f : E → F} {f' : E →L[𝕜'] F} {s : Set E} {x : E}
@[fun_prop]
theorem HasStrictFDerivAt.restrictScalars (h : HasStrictFDerivAt f f' x) :
HasStrictFDerivAt f (f'.restrictScalars 𝕜) x :=
h
#align has_strict_fderiv_at.restrict_scalars HasStrictFDerivAt.restrictScalars
theorem HasFDerivAtFilter.restrictScalars {L} (h : HasFDerivAtFilter f f' x L) :
HasFDerivAtFilter f (f'.restrictScalars 𝕜) x L :=
.of_isLittleO h.1
#align has_fderiv_at_filter.restrict_scalars HasFDerivAtFilter.restrictScalars
@[fun_prop]
theorem HasFDerivAt.restrictScalars (h : HasFDerivAt f f' x) :
HasFDerivAt f (f'.restrictScalars 𝕜) x :=
.of_isLittleO h.1
#align has_fderiv_at.restrict_scalars HasFDerivAt.restrictScalars
@[fun_prop]
theorem HasFDerivWithinAt.restrictScalars (h : HasFDerivWithinAt f f' s x) :
HasFDerivWithinAt f (f'.restrictScalars 𝕜) s x :=
.of_isLittleO h.1
#align has_fderiv_within_at.restrict_scalars HasFDerivWithinAt.restrictScalars
@[fun_prop]
theorem DifferentiableAt.restrictScalars (h : DifferentiableAt 𝕜' f x) : DifferentiableAt 𝕜 f x :=
(h.hasFDerivAt.restrictScalars 𝕜).differentiableAt
#align differentiable_at.restrict_scalars DifferentiableAt.restrictScalars
@[fun_prop]
theorem DifferentiableWithinAt.restrictScalars (h : DifferentiableWithinAt 𝕜' f s x) :
DifferentiableWithinAt 𝕜 f s x :=
(h.hasFDerivWithinAt.restrictScalars 𝕜).differentiableWithinAt
#align differentiable_within_at.restrict_scalars DifferentiableWithinAt.restrictScalars
@[fun_prop]
theorem DifferentiableOn.restrictScalars (h : DifferentiableOn 𝕜' f s) : DifferentiableOn 𝕜 f s :=
fun x hx => (h x hx).restrictScalars 𝕜
#align differentiable_on.restrict_scalars DifferentiableOn.restrictScalars
@[fun_prop]
theorem Differentiable.restrictScalars (h : Differentiable 𝕜' f) : Differentiable 𝕜 f := fun x =>
(h x).restrictScalars 𝕜
#align differentiable.restrict_scalars Differentiable.restrictScalars
@[fun_prop]
| Mathlib/Analysis/Calculus/FDeriv/RestrictScalars.lean | 92 | 95 | theorem HasFDerivWithinAt.of_restrictScalars {g' : E →L[𝕜] F} (h : HasFDerivWithinAt f g' s x)
(H : f'.restrictScalars 𝕜 = g') : HasFDerivWithinAt f f' s x := by |
rw [← H] at h
exact .of_isLittleO h.1
| 2 | 7.389056 | 1 | 1.25 | 4 | 1,301 |
import Mathlib.Analysis.Calculus.FDeriv.Basic
#align_import analysis.calculus.fderiv.restrict_scalars from "leanprover-community/mathlib"@"e3fb84046afd187b710170887195d50bada934ee"
open Filter Asymptotics ContinuousLinearMap Set Metric
open scoped Classical
open Topology NNReal Filter Asymptotics ENNReal
noncomputable section
section RestrictScalars
variable (𝕜 : Type*) [NontriviallyNormedField 𝕜]
variable {𝕜' : Type*} [NontriviallyNormedField 𝕜'] [NormedAlgebra 𝕜 𝕜']
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] [NormedSpace 𝕜' E]
variable [IsScalarTower 𝕜 𝕜' E]
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] [NormedSpace 𝕜' F]
variable [IsScalarTower 𝕜 𝕜' F]
variable {f : E → F} {f' : E →L[𝕜'] F} {s : Set E} {x : E}
@[fun_prop]
theorem HasStrictFDerivAt.restrictScalars (h : HasStrictFDerivAt f f' x) :
HasStrictFDerivAt f (f'.restrictScalars 𝕜) x :=
h
#align has_strict_fderiv_at.restrict_scalars HasStrictFDerivAt.restrictScalars
theorem HasFDerivAtFilter.restrictScalars {L} (h : HasFDerivAtFilter f f' x L) :
HasFDerivAtFilter f (f'.restrictScalars 𝕜) x L :=
.of_isLittleO h.1
#align has_fderiv_at_filter.restrict_scalars HasFDerivAtFilter.restrictScalars
@[fun_prop]
theorem HasFDerivAt.restrictScalars (h : HasFDerivAt f f' x) :
HasFDerivAt f (f'.restrictScalars 𝕜) x :=
.of_isLittleO h.1
#align has_fderiv_at.restrict_scalars HasFDerivAt.restrictScalars
@[fun_prop]
theorem HasFDerivWithinAt.restrictScalars (h : HasFDerivWithinAt f f' s x) :
HasFDerivWithinAt f (f'.restrictScalars 𝕜) s x :=
.of_isLittleO h.1
#align has_fderiv_within_at.restrict_scalars HasFDerivWithinAt.restrictScalars
@[fun_prop]
theorem DifferentiableAt.restrictScalars (h : DifferentiableAt 𝕜' f x) : DifferentiableAt 𝕜 f x :=
(h.hasFDerivAt.restrictScalars 𝕜).differentiableAt
#align differentiable_at.restrict_scalars DifferentiableAt.restrictScalars
@[fun_prop]
theorem DifferentiableWithinAt.restrictScalars (h : DifferentiableWithinAt 𝕜' f s x) :
DifferentiableWithinAt 𝕜 f s x :=
(h.hasFDerivWithinAt.restrictScalars 𝕜).differentiableWithinAt
#align differentiable_within_at.restrict_scalars DifferentiableWithinAt.restrictScalars
@[fun_prop]
theorem DifferentiableOn.restrictScalars (h : DifferentiableOn 𝕜' f s) : DifferentiableOn 𝕜 f s :=
fun x hx => (h x hx).restrictScalars 𝕜
#align differentiable_on.restrict_scalars DifferentiableOn.restrictScalars
@[fun_prop]
theorem Differentiable.restrictScalars (h : Differentiable 𝕜' f) : Differentiable 𝕜 f := fun x =>
(h x).restrictScalars 𝕜
#align differentiable.restrict_scalars Differentiable.restrictScalars
@[fun_prop]
theorem HasFDerivWithinAt.of_restrictScalars {g' : E →L[𝕜] F} (h : HasFDerivWithinAt f g' s x)
(H : f'.restrictScalars 𝕜 = g') : HasFDerivWithinAt f f' s x := by
rw [← H] at h
exact .of_isLittleO h.1
#align has_fderiv_within_at_of_restrict_scalars HasFDerivWithinAt.of_restrictScalars
@[fun_prop]
| Mathlib/Analysis/Calculus/FDeriv/RestrictScalars.lean | 99 | 102 | theorem hasFDerivAt_of_restrictScalars {g' : E →L[𝕜] F} (h : HasFDerivAt f g' x)
(H : f'.restrictScalars 𝕜 = g') : HasFDerivAt f f' x := by |
rw [← H] at h
exact .of_isLittleO h.1
| 2 | 7.389056 | 1 | 1.25 | 4 | 1,301 |
import Mathlib.Analysis.Calculus.FDeriv.Basic
#align_import analysis.calculus.fderiv.restrict_scalars from "leanprover-community/mathlib"@"e3fb84046afd187b710170887195d50bada934ee"
open Filter Asymptotics ContinuousLinearMap Set Metric
open scoped Classical
open Topology NNReal Filter Asymptotics ENNReal
noncomputable section
section RestrictScalars
variable (𝕜 : Type*) [NontriviallyNormedField 𝕜]
variable {𝕜' : Type*} [NontriviallyNormedField 𝕜'] [NormedAlgebra 𝕜 𝕜']
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] [NormedSpace 𝕜' E]
variable [IsScalarTower 𝕜 𝕜' E]
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] [NormedSpace 𝕜' F]
variable [IsScalarTower 𝕜 𝕜' F]
variable {f : E → F} {f' : E →L[𝕜'] F} {s : Set E} {x : E}
@[fun_prop]
theorem HasStrictFDerivAt.restrictScalars (h : HasStrictFDerivAt f f' x) :
HasStrictFDerivAt f (f'.restrictScalars 𝕜) x :=
h
#align has_strict_fderiv_at.restrict_scalars HasStrictFDerivAt.restrictScalars
theorem HasFDerivAtFilter.restrictScalars {L} (h : HasFDerivAtFilter f f' x L) :
HasFDerivAtFilter f (f'.restrictScalars 𝕜) x L :=
.of_isLittleO h.1
#align has_fderiv_at_filter.restrict_scalars HasFDerivAtFilter.restrictScalars
@[fun_prop]
theorem HasFDerivAt.restrictScalars (h : HasFDerivAt f f' x) :
HasFDerivAt f (f'.restrictScalars 𝕜) x :=
.of_isLittleO h.1
#align has_fderiv_at.restrict_scalars HasFDerivAt.restrictScalars
@[fun_prop]
theorem HasFDerivWithinAt.restrictScalars (h : HasFDerivWithinAt f f' s x) :
HasFDerivWithinAt f (f'.restrictScalars 𝕜) s x :=
.of_isLittleO h.1
#align has_fderiv_within_at.restrict_scalars HasFDerivWithinAt.restrictScalars
@[fun_prop]
theorem DifferentiableAt.restrictScalars (h : DifferentiableAt 𝕜' f x) : DifferentiableAt 𝕜 f x :=
(h.hasFDerivAt.restrictScalars 𝕜).differentiableAt
#align differentiable_at.restrict_scalars DifferentiableAt.restrictScalars
@[fun_prop]
theorem DifferentiableWithinAt.restrictScalars (h : DifferentiableWithinAt 𝕜' f s x) :
DifferentiableWithinAt 𝕜 f s x :=
(h.hasFDerivWithinAt.restrictScalars 𝕜).differentiableWithinAt
#align differentiable_within_at.restrict_scalars DifferentiableWithinAt.restrictScalars
@[fun_prop]
theorem DifferentiableOn.restrictScalars (h : DifferentiableOn 𝕜' f s) : DifferentiableOn 𝕜 f s :=
fun x hx => (h x hx).restrictScalars 𝕜
#align differentiable_on.restrict_scalars DifferentiableOn.restrictScalars
@[fun_prop]
theorem Differentiable.restrictScalars (h : Differentiable 𝕜' f) : Differentiable 𝕜 f := fun x =>
(h x).restrictScalars 𝕜
#align differentiable.restrict_scalars Differentiable.restrictScalars
@[fun_prop]
theorem HasFDerivWithinAt.of_restrictScalars {g' : E →L[𝕜] F} (h : HasFDerivWithinAt f g' s x)
(H : f'.restrictScalars 𝕜 = g') : HasFDerivWithinAt f f' s x := by
rw [← H] at h
exact .of_isLittleO h.1
#align has_fderiv_within_at_of_restrict_scalars HasFDerivWithinAt.of_restrictScalars
@[fun_prop]
theorem hasFDerivAt_of_restrictScalars {g' : E →L[𝕜] F} (h : HasFDerivAt f g' x)
(H : f'.restrictScalars 𝕜 = g') : HasFDerivAt f f' x := by
rw [← H] at h
exact .of_isLittleO h.1
#align has_fderiv_at_of_restrict_scalars hasFDerivAt_of_restrictScalars
theorem DifferentiableAt.fderiv_restrictScalars (h : DifferentiableAt 𝕜' f x) :
fderiv 𝕜 f x = (fderiv 𝕜' f x).restrictScalars 𝕜 :=
(h.hasFDerivAt.restrictScalars 𝕜).fderiv
#align differentiable_at.fderiv_restrict_scalars DifferentiableAt.fderiv_restrictScalars
| Mathlib/Analysis/Calculus/FDeriv/RestrictScalars.lean | 110 | 117 | theorem differentiableWithinAt_iff_restrictScalars (hf : DifferentiableWithinAt 𝕜 f s x)
(hs : UniqueDiffWithinAt 𝕜 s x) : DifferentiableWithinAt 𝕜' f s x ↔
∃ g' : E →L[𝕜'] F, g'.restrictScalars 𝕜 = fderivWithin 𝕜 f s x := by |
constructor
· rintro ⟨g', hg'⟩
exact ⟨g', hs.eq (hg'.restrictScalars 𝕜) hf.hasFDerivWithinAt⟩
· rintro ⟨f', hf'⟩
exact ⟨f', hf.hasFDerivWithinAt.of_restrictScalars 𝕜 hf'⟩
| 5 | 148.413159 | 2 | 1.25 | 4 | 1,301 |
import Mathlib.Analysis.Calculus.FDeriv.Basic
#align_import analysis.calculus.fderiv.restrict_scalars from "leanprover-community/mathlib"@"e3fb84046afd187b710170887195d50bada934ee"
open Filter Asymptotics ContinuousLinearMap Set Metric
open scoped Classical
open Topology NNReal Filter Asymptotics ENNReal
noncomputable section
section RestrictScalars
variable (𝕜 : Type*) [NontriviallyNormedField 𝕜]
variable {𝕜' : Type*} [NontriviallyNormedField 𝕜'] [NormedAlgebra 𝕜 𝕜']
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] [NormedSpace 𝕜' E]
variable [IsScalarTower 𝕜 𝕜' E]
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] [NormedSpace 𝕜' F]
variable [IsScalarTower 𝕜 𝕜' F]
variable {f : E → F} {f' : E →L[𝕜'] F} {s : Set E} {x : E}
@[fun_prop]
theorem HasStrictFDerivAt.restrictScalars (h : HasStrictFDerivAt f f' x) :
HasStrictFDerivAt f (f'.restrictScalars 𝕜) x :=
h
#align has_strict_fderiv_at.restrict_scalars HasStrictFDerivAt.restrictScalars
theorem HasFDerivAtFilter.restrictScalars {L} (h : HasFDerivAtFilter f f' x L) :
HasFDerivAtFilter f (f'.restrictScalars 𝕜) x L :=
.of_isLittleO h.1
#align has_fderiv_at_filter.restrict_scalars HasFDerivAtFilter.restrictScalars
@[fun_prop]
theorem HasFDerivAt.restrictScalars (h : HasFDerivAt f f' x) :
HasFDerivAt f (f'.restrictScalars 𝕜) x :=
.of_isLittleO h.1
#align has_fderiv_at.restrict_scalars HasFDerivAt.restrictScalars
@[fun_prop]
theorem HasFDerivWithinAt.restrictScalars (h : HasFDerivWithinAt f f' s x) :
HasFDerivWithinAt f (f'.restrictScalars 𝕜) s x :=
.of_isLittleO h.1
#align has_fderiv_within_at.restrict_scalars HasFDerivWithinAt.restrictScalars
@[fun_prop]
theorem DifferentiableAt.restrictScalars (h : DifferentiableAt 𝕜' f x) : DifferentiableAt 𝕜 f x :=
(h.hasFDerivAt.restrictScalars 𝕜).differentiableAt
#align differentiable_at.restrict_scalars DifferentiableAt.restrictScalars
@[fun_prop]
theorem DifferentiableWithinAt.restrictScalars (h : DifferentiableWithinAt 𝕜' f s x) :
DifferentiableWithinAt 𝕜 f s x :=
(h.hasFDerivWithinAt.restrictScalars 𝕜).differentiableWithinAt
#align differentiable_within_at.restrict_scalars DifferentiableWithinAt.restrictScalars
@[fun_prop]
theorem DifferentiableOn.restrictScalars (h : DifferentiableOn 𝕜' f s) : DifferentiableOn 𝕜 f s :=
fun x hx => (h x hx).restrictScalars 𝕜
#align differentiable_on.restrict_scalars DifferentiableOn.restrictScalars
@[fun_prop]
theorem Differentiable.restrictScalars (h : Differentiable 𝕜' f) : Differentiable 𝕜 f := fun x =>
(h x).restrictScalars 𝕜
#align differentiable.restrict_scalars Differentiable.restrictScalars
@[fun_prop]
theorem HasFDerivWithinAt.of_restrictScalars {g' : E →L[𝕜] F} (h : HasFDerivWithinAt f g' s x)
(H : f'.restrictScalars 𝕜 = g') : HasFDerivWithinAt f f' s x := by
rw [← H] at h
exact .of_isLittleO h.1
#align has_fderiv_within_at_of_restrict_scalars HasFDerivWithinAt.of_restrictScalars
@[fun_prop]
theorem hasFDerivAt_of_restrictScalars {g' : E →L[𝕜] F} (h : HasFDerivAt f g' x)
(H : f'.restrictScalars 𝕜 = g') : HasFDerivAt f f' x := by
rw [← H] at h
exact .of_isLittleO h.1
#align has_fderiv_at_of_restrict_scalars hasFDerivAt_of_restrictScalars
theorem DifferentiableAt.fderiv_restrictScalars (h : DifferentiableAt 𝕜' f x) :
fderiv 𝕜 f x = (fderiv 𝕜' f x).restrictScalars 𝕜 :=
(h.hasFDerivAt.restrictScalars 𝕜).fderiv
#align differentiable_at.fderiv_restrict_scalars DifferentiableAt.fderiv_restrictScalars
theorem differentiableWithinAt_iff_restrictScalars (hf : DifferentiableWithinAt 𝕜 f s x)
(hs : UniqueDiffWithinAt 𝕜 s x) : DifferentiableWithinAt 𝕜' f s x ↔
∃ g' : E →L[𝕜'] F, g'.restrictScalars 𝕜 = fderivWithin 𝕜 f s x := by
constructor
· rintro ⟨g', hg'⟩
exact ⟨g', hs.eq (hg'.restrictScalars 𝕜) hf.hasFDerivWithinAt⟩
· rintro ⟨f', hf'⟩
exact ⟨f', hf.hasFDerivWithinAt.of_restrictScalars 𝕜 hf'⟩
#align differentiable_within_at_iff_restrict_scalars differentiableWithinAt_iff_restrictScalars
| Mathlib/Analysis/Calculus/FDeriv/RestrictScalars.lean | 120 | 124 | theorem differentiableAt_iff_restrictScalars (hf : DifferentiableAt 𝕜 f x) :
DifferentiableAt 𝕜' f x ↔ ∃ g' : E →L[𝕜'] F, g'.restrictScalars 𝕜 = fderiv 𝕜 f x := by |
rw [← differentiableWithinAt_univ, ← fderivWithin_univ]
exact
differentiableWithinAt_iff_restrictScalars 𝕜 hf.differentiableWithinAt uniqueDiffWithinAt_univ
| 3 | 20.085537 | 1 | 1.25 | 4 | 1,301 |
import Mathlib.LinearAlgebra.Matrix.Symmetric
import Mathlib.LinearAlgebra.Matrix.Orthogonal
import Mathlib.Data.Matrix.Kronecker
#align_import linear_algebra.matrix.is_diag from "leanprover-community/mathlib"@"55e2dfde0cff928ce5c70926a3f2c7dee3e2dd99"
namespace Matrix
variable {α β R n m : Type*}
open Function
open Matrix Kronecker
def IsDiag [Zero α] (A : Matrix n n α) : Prop :=
Pairwise fun i j => A i j = 0
#align matrix.is_diag Matrix.IsDiag
@[simp]
theorem isDiag_diagonal [Zero α] [DecidableEq n] (d : n → α) : (diagonal d).IsDiag := fun _ _ =>
Matrix.diagonal_apply_ne _
#align matrix.is_diag_diagonal Matrix.isDiag_diagonal
theorem IsDiag.diagonal_diag [Zero α] [DecidableEq n] {A : Matrix n n α} (h : A.IsDiag) :
diagonal (diag A) = A :=
ext fun i j => by
obtain rfl | hij := Decidable.eq_or_ne i j
· rw [diagonal_apply_eq, diag]
· rw [diagonal_apply_ne _ hij, h hij]
#align matrix.is_diag.diagonal_diag Matrix.IsDiag.diagonal_diag
theorem isDiag_iff_diagonal_diag [Zero α] [DecidableEq n] (A : Matrix n n α) :
A.IsDiag ↔ diagonal (diag A) = A :=
⟨IsDiag.diagonal_diag, fun hd => hd ▸ isDiag_diagonal (diag A)⟩
#align matrix.is_diag_iff_diagonal_diag Matrix.isDiag_iff_diagonal_diag
theorem isDiag_of_subsingleton [Zero α] [Subsingleton n] (A : Matrix n n α) : A.IsDiag :=
fun i j h => (h <| Subsingleton.elim i j).elim
#align matrix.is_diag_of_subsingleton Matrix.isDiag_of_subsingleton
@[simp]
theorem isDiag_zero [Zero α] : (0 : Matrix n n α).IsDiag := fun _ _ _ => rfl
#align matrix.is_diag_zero Matrix.isDiag_zero
@[simp]
theorem isDiag_one [DecidableEq n] [Zero α] [One α] : (1 : Matrix n n α).IsDiag := fun _ _ =>
one_apply_ne
#align matrix.is_diag_one Matrix.isDiag_one
| Mathlib/LinearAlgebra/Matrix/IsDiag.lean | 76 | 79 | theorem IsDiag.map [Zero α] [Zero β] {A : Matrix n n α} (ha : A.IsDiag) {f : α → β} (hf : f 0 = 0) :
(A.map f).IsDiag := by |
intro i j h
simp [ha h, hf]
| 2 | 7.389056 | 1 | 1.25 | 8 | 1,302 |
import Mathlib.LinearAlgebra.Matrix.Symmetric
import Mathlib.LinearAlgebra.Matrix.Orthogonal
import Mathlib.Data.Matrix.Kronecker
#align_import linear_algebra.matrix.is_diag from "leanprover-community/mathlib"@"55e2dfde0cff928ce5c70926a3f2c7dee3e2dd99"
namespace Matrix
variable {α β R n m : Type*}
open Function
open Matrix Kronecker
def IsDiag [Zero α] (A : Matrix n n α) : Prop :=
Pairwise fun i j => A i j = 0
#align matrix.is_diag Matrix.IsDiag
@[simp]
theorem isDiag_diagonal [Zero α] [DecidableEq n] (d : n → α) : (diagonal d).IsDiag := fun _ _ =>
Matrix.diagonal_apply_ne _
#align matrix.is_diag_diagonal Matrix.isDiag_diagonal
theorem IsDiag.diagonal_diag [Zero α] [DecidableEq n] {A : Matrix n n α} (h : A.IsDiag) :
diagonal (diag A) = A :=
ext fun i j => by
obtain rfl | hij := Decidable.eq_or_ne i j
· rw [diagonal_apply_eq, diag]
· rw [diagonal_apply_ne _ hij, h hij]
#align matrix.is_diag.diagonal_diag Matrix.IsDiag.diagonal_diag
theorem isDiag_iff_diagonal_diag [Zero α] [DecidableEq n] (A : Matrix n n α) :
A.IsDiag ↔ diagonal (diag A) = A :=
⟨IsDiag.diagonal_diag, fun hd => hd ▸ isDiag_diagonal (diag A)⟩
#align matrix.is_diag_iff_diagonal_diag Matrix.isDiag_iff_diagonal_diag
theorem isDiag_of_subsingleton [Zero α] [Subsingleton n] (A : Matrix n n α) : A.IsDiag :=
fun i j h => (h <| Subsingleton.elim i j).elim
#align matrix.is_diag_of_subsingleton Matrix.isDiag_of_subsingleton
@[simp]
theorem isDiag_zero [Zero α] : (0 : Matrix n n α).IsDiag := fun _ _ _ => rfl
#align matrix.is_diag_zero Matrix.isDiag_zero
@[simp]
theorem isDiag_one [DecidableEq n] [Zero α] [One α] : (1 : Matrix n n α).IsDiag := fun _ _ =>
one_apply_ne
#align matrix.is_diag_one Matrix.isDiag_one
theorem IsDiag.map [Zero α] [Zero β] {A : Matrix n n α} (ha : A.IsDiag) {f : α → β} (hf : f 0 = 0) :
(A.map f).IsDiag := by
intro i j h
simp [ha h, hf]
#align matrix.is_diag.map Matrix.IsDiag.map
| Mathlib/LinearAlgebra/Matrix/IsDiag.lean | 82 | 84 | theorem IsDiag.neg [AddGroup α] {A : Matrix n n α} (ha : A.IsDiag) : (-A).IsDiag := by |
intro i j h
simp [ha h]
| 2 | 7.389056 | 1 | 1.25 | 8 | 1,302 |
import Mathlib.LinearAlgebra.Matrix.Symmetric
import Mathlib.LinearAlgebra.Matrix.Orthogonal
import Mathlib.Data.Matrix.Kronecker
#align_import linear_algebra.matrix.is_diag from "leanprover-community/mathlib"@"55e2dfde0cff928ce5c70926a3f2c7dee3e2dd99"
namespace Matrix
variable {α β R n m : Type*}
open Function
open Matrix Kronecker
def IsDiag [Zero α] (A : Matrix n n α) : Prop :=
Pairwise fun i j => A i j = 0
#align matrix.is_diag Matrix.IsDiag
@[simp]
theorem isDiag_diagonal [Zero α] [DecidableEq n] (d : n → α) : (diagonal d).IsDiag := fun _ _ =>
Matrix.diagonal_apply_ne _
#align matrix.is_diag_diagonal Matrix.isDiag_diagonal
theorem IsDiag.diagonal_diag [Zero α] [DecidableEq n] {A : Matrix n n α} (h : A.IsDiag) :
diagonal (diag A) = A :=
ext fun i j => by
obtain rfl | hij := Decidable.eq_or_ne i j
· rw [diagonal_apply_eq, diag]
· rw [diagonal_apply_ne _ hij, h hij]
#align matrix.is_diag.diagonal_diag Matrix.IsDiag.diagonal_diag
theorem isDiag_iff_diagonal_diag [Zero α] [DecidableEq n] (A : Matrix n n α) :
A.IsDiag ↔ diagonal (diag A) = A :=
⟨IsDiag.diagonal_diag, fun hd => hd ▸ isDiag_diagonal (diag A)⟩
#align matrix.is_diag_iff_diagonal_diag Matrix.isDiag_iff_diagonal_diag
theorem isDiag_of_subsingleton [Zero α] [Subsingleton n] (A : Matrix n n α) : A.IsDiag :=
fun i j h => (h <| Subsingleton.elim i j).elim
#align matrix.is_diag_of_subsingleton Matrix.isDiag_of_subsingleton
@[simp]
theorem isDiag_zero [Zero α] : (0 : Matrix n n α).IsDiag := fun _ _ _ => rfl
#align matrix.is_diag_zero Matrix.isDiag_zero
@[simp]
theorem isDiag_one [DecidableEq n] [Zero α] [One α] : (1 : Matrix n n α).IsDiag := fun _ _ =>
one_apply_ne
#align matrix.is_diag_one Matrix.isDiag_one
theorem IsDiag.map [Zero α] [Zero β] {A : Matrix n n α} (ha : A.IsDiag) {f : α → β} (hf : f 0 = 0) :
(A.map f).IsDiag := by
intro i j h
simp [ha h, hf]
#align matrix.is_diag.map Matrix.IsDiag.map
theorem IsDiag.neg [AddGroup α] {A : Matrix n n α} (ha : A.IsDiag) : (-A).IsDiag := by
intro i j h
simp [ha h]
#align matrix.is_diag.neg Matrix.IsDiag.neg
@[simp]
theorem isDiag_neg_iff [AddGroup α] {A : Matrix n n α} : (-A).IsDiag ↔ A.IsDiag :=
⟨fun ha _ _ h => neg_eq_zero.1 (ha h), IsDiag.neg⟩
#align matrix.is_diag_neg_iff Matrix.isDiag_neg_iff
| Mathlib/LinearAlgebra/Matrix/IsDiag.lean | 92 | 95 | theorem IsDiag.add [AddZeroClass α] {A B : Matrix n n α} (ha : A.IsDiag) (hb : B.IsDiag) :
(A + B).IsDiag := by |
intro i j h
simp [ha h, hb h]
| 2 | 7.389056 | 1 | 1.25 | 8 | 1,302 |
import Mathlib.LinearAlgebra.Matrix.Symmetric
import Mathlib.LinearAlgebra.Matrix.Orthogonal
import Mathlib.Data.Matrix.Kronecker
#align_import linear_algebra.matrix.is_diag from "leanprover-community/mathlib"@"55e2dfde0cff928ce5c70926a3f2c7dee3e2dd99"
namespace Matrix
variable {α β R n m : Type*}
open Function
open Matrix Kronecker
def IsDiag [Zero α] (A : Matrix n n α) : Prop :=
Pairwise fun i j => A i j = 0
#align matrix.is_diag Matrix.IsDiag
@[simp]
theorem isDiag_diagonal [Zero α] [DecidableEq n] (d : n → α) : (diagonal d).IsDiag := fun _ _ =>
Matrix.diagonal_apply_ne _
#align matrix.is_diag_diagonal Matrix.isDiag_diagonal
theorem IsDiag.diagonal_diag [Zero α] [DecidableEq n] {A : Matrix n n α} (h : A.IsDiag) :
diagonal (diag A) = A :=
ext fun i j => by
obtain rfl | hij := Decidable.eq_or_ne i j
· rw [diagonal_apply_eq, diag]
· rw [diagonal_apply_ne _ hij, h hij]
#align matrix.is_diag.diagonal_diag Matrix.IsDiag.diagonal_diag
theorem isDiag_iff_diagonal_diag [Zero α] [DecidableEq n] (A : Matrix n n α) :
A.IsDiag ↔ diagonal (diag A) = A :=
⟨IsDiag.diagonal_diag, fun hd => hd ▸ isDiag_diagonal (diag A)⟩
#align matrix.is_diag_iff_diagonal_diag Matrix.isDiag_iff_diagonal_diag
theorem isDiag_of_subsingleton [Zero α] [Subsingleton n] (A : Matrix n n α) : A.IsDiag :=
fun i j h => (h <| Subsingleton.elim i j).elim
#align matrix.is_diag_of_subsingleton Matrix.isDiag_of_subsingleton
@[simp]
theorem isDiag_zero [Zero α] : (0 : Matrix n n α).IsDiag := fun _ _ _ => rfl
#align matrix.is_diag_zero Matrix.isDiag_zero
@[simp]
theorem isDiag_one [DecidableEq n] [Zero α] [One α] : (1 : Matrix n n α).IsDiag := fun _ _ =>
one_apply_ne
#align matrix.is_diag_one Matrix.isDiag_one
theorem IsDiag.map [Zero α] [Zero β] {A : Matrix n n α} (ha : A.IsDiag) {f : α → β} (hf : f 0 = 0) :
(A.map f).IsDiag := by
intro i j h
simp [ha h, hf]
#align matrix.is_diag.map Matrix.IsDiag.map
theorem IsDiag.neg [AddGroup α] {A : Matrix n n α} (ha : A.IsDiag) : (-A).IsDiag := by
intro i j h
simp [ha h]
#align matrix.is_diag.neg Matrix.IsDiag.neg
@[simp]
theorem isDiag_neg_iff [AddGroup α] {A : Matrix n n α} : (-A).IsDiag ↔ A.IsDiag :=
⟨fun ha _ _ h => neg_eq_zero.1 (ha h), IsDiag.neg⟩
#align matrix.is_diag_neg_iff Matrix.isDiag_neg_iff
theorem IsDiag.add [AddZeroClass α] {A B : Matrix n n α} (ha : A.IsDiag) (hb : B.IsDiag) :
(A + B).IsDiag := by
intro i j h
simp [ha h, hb h]
#align matrix.is_diag.add Matrix.IsDiag.add
| Mathlib/LinearAlgebra/Matrix/IsDiag.lean | 98 | 101 | theorem IsDiag.sub [AddGroup α] {A B : Matrix n n α} (ha : A.IsDiag) (hb : B.IsDiag) :
(A - B).IsDiag := by |
intro i j h
simp [ha h, hb h]
| 2 | 7.389056 | 1 | 1.25 | 8 | 1,302 |
import Mathlib.LinearAlgebra.Matrix.Symmetric
import Mathlib.LinearAlgebra.Matrix.Orthogonal
import Mathlib.Data.Matrix.Kronecker
#align_import linear_algebra.matrix.is_diag from "leanprover-community/mathlib"@"55e2dfde0cff928ce5c70926a3f2c7dee3e2dd99"
namespace Matrix
variable {α β R n m : Type*}
open Function
open Matrix Kronecker
def IsDiag [Zero α] (A : Matrix n n α) : Prop :=
Pairwise fun i j => A i j = 0
#align matrix.is_diag Matrix.IsDiag
@[simp]
theorem isDiag_diagonal [Zero α] [DecidableEq n] (d : n → α) : (diagonal d).IsDiag := fun _ _ =>
Matrix.diagonal_apply_ne _
#align matrix.is_diag_diagonal Matrix.isDiag_diagonal
theorem IsDiag.diagonal_diag [Zero α] [DecidableEq n] {A : Matrix n n α} (h : A.IsDiag) :
diagonal (diag A) = A :=
ext fun i j => by
obtain rfl | hij := Decidable.eq_or_ne i j
· rw [diagonal_apply_eq, diag]
· rw [diagonal_apply_ne _ hij, h hij]
#align matrix.is_diag.diagonal_diag Matrix.IsDiag.diagonal_diag
theorem isDiag_iff_diagonal_diag [Zero α] [DecidableEq n] (A : Matrix n n α) :
A.IsDiag ↔ diagonal (diag A) = A :=
⟨IsDiag.diagonal_diag, fun hd => hd ▸ isDiag_diagonal (diag A)⟩
#align matrix.is_diag_iff_diagonal_diag Matrix.isDiag_iff_diagonal_diag
theorem isDiag_of_subsingleton [Zero α] [Subsingleton n] (A : Matrix n n α) : A.IsDiag :=
fun i j h => (h <| Subsingleton.elim i j).elim
#align matrix.is_diag_of_subsingleton Matrix.isDiag_of_subsingleton
@[simp]
theorem isDiag_zero [Zero α] : (0 : Matrix n n α).IsDiag := fun _ _ _ => rfl
#align matrix.is_diag_zero Matrix.isDiag_zero
@[simp]
theorem isDiag_one [DecidableEq n] [Zero α] [One α] : (1 : Matrix n n α).IsDiag := fun _ _ =>
one_apply_ne
#align matrix.is_diag_one Matrix.isDiag_one
theorem IsDiag.map [Zero α] [Zero β] {A : Matrix n n α} (ha : A.IsDiag) {f : α → β} (hf : f 0 = 0) :
(A.map f).IsDiag := by
intro i j h
simp [ha h, hf]
#align matrix.is_diag.map Matrix.IsDiag.map
theorem IsDiag.neg [AddGroup α] {A : Matrix n n α} (ha : A.IsDiag) : (-A).IsDiag := by
intro i j h
simp [ha h]
#align matrix.is_diag.neg Matrix.IsDiag.neg
@[simp]
theorem isDiag_neg_iff [AddGroup α] {A : Matrix n n α} : (-A).IsDiag ↔ A.IsDiag :=
⟨fun ha _ _ h => neg_eq_zero.1 (ha h), IsDiag.neg⟩
#align matrix.is_diag_neg_iff Matrix.isDiag_neg_iff
theorem IsDiag.add [AddZeroClass α] {A B : Matrix n n α} (ha : A.IsDiag) (hb : B.IsDiag) :
(A + B).IsDiag := by
intro i j h
simp [ha h, hb h]
#align matrix.is_diag.add Matrix.IsDiag.add
theorem IsDiag.sub [AddGroup α] {A B : Matrix n n α} (ha : A.IsDiag) (hb : B.IsDiag) :
(A - B).IsDiag := by
intro i j h
simp [ha h, hb h]
#align matrix.is_diag.sub Matrix.IsDiag.sub
| Mathlib/LinearAlgebra/Matrix/IsDiag.lean | 104 | 107 | theorem IsDiag.smul [Monoid R] [AddMonoid α] [DistribMulAction R α] (k : R) {A : Matrix n n α}
(ha : A.IsDiag) : (k • A).IsDiag := by |
intro i j h
simp [ha h]
| 2 | 7.389056 | 1 | 1.25 | 8 | 1,302 |
import Mathlib.LinearAlgebra.Matrix.Symmetric
import Mathlib.LinearAlgebra.Matrix.Orthogonal
import Mathlib.Data.Matrix.Kronecker
#align_import linear_algebra.matrix.is_diag from "leanprover-community/mathlib"@"55e2dfde0cff928ce5c70926a3f2c7dee3e2dd99"
namespace Matrix
variable {α β R n m : Type*}
open Function
open Matrix Kronecker
def IsDiag [Zero α] (A : Matrix n n α) : Prop :=
Pairwise fun i j => A i j = 0
#align matrix.is_diag Matrix.IsDiag
@[simp]
theorem isDiag_diagonal [Zero α] [DecidableEq n] (d : n → α) : (diagonal d).IsDiag := fun _ _ =>
Matrix.diagonal_apply_ne _
#align matrix.is_diag_diagonal Matrix.isDiag_diagonal
theorem IsDiag.diagonal_diag [Zero α] [DecidableEq n] {A : Matrix n n α} (h : A.IsDiag) :
diagonal (diag A) = A :=
ext fun i j => by
obtain rfl | hij := Decidable.eq_or_ne i j
· rw [diagonal_apply_eq, diag]
· rw [diagonal_apply_ne _ hij, h hij]
#align matrix.is_diag.diagonal_diag Matrix.IsDiag.diagonal_diag
theorem isDiag_iff_diagonal_diag [Zero α] [DecidableEq n] (A : Matrix n n α) :
A.IsDiag ↔ diagonal (diag A) = A :=
⟨IsDiag.diagonal_diag, fun hd => hd ▸ isDiag_diagonal (diag A)⟩
#align matrix.is_diag_iff_diagonal_diag Matrix.isDiag_iff_diagonal_diag
theorem isDiag_of_subsingleton [Zero α] [Subsingleton n] (A : Matrix n n α) : A.IsDiag :=
fun i j h => (h <| Subsingleton.elim i j).elim
#align matrix.is_diag_of_subsingleton Matrix.isDiag_of_subsingleton
@[simp]
theorem isDiag_zero [Zero α] : (0 : Matrix n n α).IsDiag := fun _ _ _ => rfl
#align matrix.is_diag_zero Matrix.isDiag_zero
@[simp]
theorem isDiag_one [DecidableEq n] [Zero α] [One α] : (1 : Matrix n n α).IsDiag := fun _ _ =>
one_apply_ne
#align matrix.is_diag_one Matrix.isDiag_one
theorem IsDiag.map [Zero α] [Zero β] {A : Matrix n n α} (ha : A.IsDiag) {f : α → β} (hf : f 0 = 0) :
(A.map f).IsDiag := by
intro i j h
simp [ha h, hf]
#align matrix.is_diag.map Matrix.IsDiag.map
theorem IsDiag.neg [AddGroup α] {A : Matrix n n α} (ha : A.IsDiag) : (-A).IsDiag := by
intro i j h
simp [ha h]
#align matrix.is_diag.neg Matrix.IsDiag.neg
@[simp]
theorem isDiag_neg_iff [AddGroup α] {A : Matrix n n α} : (-A).IsDiag ↔ A.IsDiag :=
⟨fun ha _ _ h => neg_eq_zero.1 (ha h), IsDiag.neg⟩
#align matrix.is_diag_neg_iff Matrix.isDiag_neg_iff
theorem IsDiag.add [AddZeroClass α] {A B : Matrix n n α} (ha : A.IsDiag) (hb : B.IsDiag) :
(A + B).IsDiag := by
intro i j h
simp [ha h, hb h]
#align matrix.is_diag.add Matrix.IsDiag.add
theorem IsDiag.sub [AddGroup α] {A B : Matrix n n α} (ha : A.IsDiag) (hb : B.IsDiag) :
(A - B).IsDiag := by
intro i j h
simp [ha h, hb h]
#align matrix.is_diag.sub Matrix.IsDiag.sub
theorem IsDiag.smul [Monoid R] [AddMonoid α] [DistribMulAction R α] (k : R) {A : Matrix n n α}
(ha : A.IsDiag) : (k • A).IsDiag := by
intro i j h
simp [ha h]
#align matrix.is_diag.smul Matrix.IsDiag.smul
@[simp]
theorem isDiag_smul_one (n) [Semiring α] [DecidableEq n] (k : α) :
(k • (1 : Matrix n n α)).IsDiag :=
isDiag_one.smul k
#align matrix.is_diag_smul_one Matrix.isDiag_smul_one
theorem IsDiag.transpose [Zero α] {A : Matrix n n α} (ha : A.IsDiag) : Aᵀ.IsDiag := fun _ _ h =>
ha h.symm
#align matrix.is_diag.transpose Matrix.IsDiag.transpose
@[simp]
theorem isDiag_transpose_iff [Zero α] {A : Matrix n n α} : Aᵀ.IsDiag ↔ A.IsDiag :=
⟨IsDiag.transpose, IsDiag.transpose⟩
#align matrix.is_diag_transpose_iff Matrix.isDiag_transpose_iff
theorem IsDiag.conjTranspose [Semiring α] [StarRing α] {A : Matrix n n α} (ha : A.IsDiag) :
Aᴴ.IsDiag :=
ha.transpose.map (star_zero _)
#align matrix.is_diag.conj_transpose Matrix.IsDiag.conjTranspose
@[simp]
theorem isDiag_conjTranspose_iff [Semiring α] [StarRing α] {A : Matrix n n α} :
Aᴴ.IsDiag ↔ A.IsDiag :=
⟨fun ha => by
convert ha.conjTranspose
simp, IsDiag.conjTranspose⟩
#align matrix.is_diag_conj_transpose_iff Matrix.isDiag_conjTranspose_iff
theorem IsDiag.submatrix [Zero α] {A : Matrix n n α} (ha : A.IsDiag) {f : m → n}
(hf : Injective f) : (A.submatrix f f).IsDiag := fun _ _ h => ha (hf.ne h)
#align matrix.is_diag.submatrix Matrix.IsDiag.submatrix
| Mathlib/LinearAlgebra/Matrix/IsDiag.lean | 143 | 149 | theorem IsDiag.kronecker [MulZeroClass α] {A : Matrix m m α} {B : Matrix n n α} (hA : A.IsDiag)
(hB : B.IsDiag) : (A ⊗ₖ B).IsDiag := by |
rintro ⟨a, b⟩ ⟨c, d⟩ h
simp only [Prod.mk.inj_iff, Ne, not_and_or] at h
cases' h with hac hbd
· simp [hA hac]
· simp [hB hbd]
| 5 | 148.413159 | 2 | 1.25 | 8 | 1,302 |
import Mathlib.LinearAlgebra.Matrix.Symmetric
import Mathlib.LinearAlgebra.Matrix.Orthogonal
import Mathlib.Data.Matrix.Kronecker
#align_import linear_algebra.matrix.is_diag from "leanprover-community/mathlib"@"55e2dfde0cff928ce5c70926a3f2c7dee3e2dd99"
namespace Matrix
variable {α β R n m : Type*}
open Function
open Matrix Kronecker
def IsDiag [Zero α] (A : Matrix n n α) : Prop :=
Pairwise fun i j => A i j = 0
#align matrix.is_diag Matrix.IsDiag
@[simp]
theorem isDiag_diagonal [Zero α] [DecidableEq n] (d : n → α) : (diagonal d).IsDiag := fun _ _ =>
Matrix.diagonal_apply_ne _
#align matrix.is_diag_diagonal Matrix.isDiag_diagonal
theorem IsDiag.diagonal_diag [Zero α] [DecidableEq n] {A : Matrix n n α} (h : A.IsDiag) :
diagonal (diag A) = A :=
ext fun i j => by
obtain rfl | hij := Decidable.eq_or_ne i j
· rw [diagonal_apply_eq, diag]
· rw [diagonal_apply_ne _ hij, h hij]
#align matrix.is_diag.diagonal_diag Matrix.IsDiag.diagonal_diag
theorem isDiag_iff_diagonal_diag [Zero α] [DecidableEq n] (A : Matrix n n α) :
A.IsDiag ↔ diagonal (diag A) = A :=
⟨IsDiag.diagonal_diag, fun hd => hd ▸ isDiag_diagonal (diag A)⟩
#align matrix.is_diag_iff_diagonal_diag Matrix.isDiag_iff_diagonal_diag
theorem isDiag_of_subsingleton [Zero α] [Subsingleton n] (A : Matrix n n α) : A.IsDiag :=
fun i j h => (h <| Subsingleton.elim i j).elim
#align matrix.is_diag_of_subsingleton Matrix.isDiag_of_subsingleton
@[simp]
theorem isDiag_zero [Zero α] : (0 : Matrix n n α).IsDiag := fun _ _ _ => rfl
#align matrix.is_diag_zero Matrix.isDiag_zero
@[simp]
theorem isDiag_one [DecidableEq n] [Zero α] [One α] : (1 : Matrix n n α).IsDiag := fun _ _ =>
one_apply_ne
#align matrix.is_diag_one Matrix.isDiag_one
theorem IsDiag.map [Zero α] [Zero β] {A : Matrix n n α} (ha : A.IsDiag) {f : α → β} (hf : f 0 = 0) :
(A.map f).IsDiag := by
intro i j h
simp [ha h, hf]
#align matrix.is_diag.map Matrix.IsDiag.map
theorem IsDiag.neg [AddGroup α] {A : Matrix n n α} (ha : A.IsDiag) : (-A).IsDiag := by
intro i j h
simp [ha h]
#align matrix.is_diag.neg Matrix.IsDiag.neg
@[simp]
theorem isDiag_neg_iff [AddGroup α] {A : Matrix n n α} : (-A).IsDiag ↔ A.IsDiag :=
⟨fun ha _ _ h => neg_eq_zero.1 (ha h), IsDiag.neg⟩
#align matrix.is_diag_neg_iff Matrix.isDiag_neg_iff
theorem IsDiag.add [AddZeroClass α] {A B : Matrix n n α} (ha : A.IsDiag) (hb : B.IsDiag) :
(A + B).IsDiag := by
intro i j h
simp [ha h, hb h]
#align matrix.is_diag.add Matrix.IsDiag.add
theorem IsDiag.sub [AddGroup α] {A B : Matrix n n α} (ha : A.IsDiag) (hb : B.IsDiag) :
(A - B).IsDiag := by
intro i j h
simp [ha h, hb h]
#align matrix.is_diag.sub Matrix.IsDiag.sub
theorem IsDiag.smul [Monoid R] [AddMonoid α] [DistribMulAction R α] (k : R) {A : Matrix n n α}
(ha : A.IsDiag) : (k • A).IsDiag := by
intro i j h
simp [ha h]
#align matrix.is_diag.smul Matrix.IsDiag.smul
@[simp]
theorem isDiag_smul_one (n) [Semiring α] [DecidableEq n] (k : α) :
(k • (1 : Matrix n n α)).IsDiag :=
isDiag_one.smul k
#align matrix.is_diag_smul_one Matrix.isDiag_smul_one
theorem IsDiag.transpose [Zero α] {A : Matrix n n α} (ha : A.IsDiag) : Aᵀ.IsDiag := fun _ _ h =>
ha h.symm
#align matrix.is_diag.transpose Matrix.IsDiag.transpose
@[simp]
theorem isDiag_transpose_iff [Zero α] {A : Matrix n n α} : Aᵀ.IsDiag ↔ A.IsDiag :=
⟨IsDiag.transpose, IsDiag.transpose⟩
#align matrix.is_diag_transpose_iff Matrix.isDiag_transpose_iff
theorem IsDiag.conjTranspose [Semiring α] [StarRing α] {A : Matrix n n α} (ha : A.IsDiag) :
Aᴴ.IsDiag :=
ha.transpose.map (star_zero _)
#align matrix.is_diag.conj_transpose Matrix.IsDiag.conjTranspose
@[simp]
theorem isDiag_conjTranspose_iff [Semiring α] [StarRing α] {A : Matrix n n α} :
Aᴴ.IsDiag ↔ A.IsDiag :=
⟨fun ha => by
convert ha.conjTranspose
simp, IsDiag.conjTranspose⟩
#align matrix.is_diag_conj_transpose_iff Matrix.isDiag_conjTranspose_iff
theorem IsDiag.submatrix [Zero α] {A : Matrix n n α} (ha : A.IsDiag) {f : m → n}
(hf : Injective f) : (A.submatrix f f).IsDiag := fun _ _ h => ha (hf.ne h)
#align matrix.is_diag.submatrix Matrix.IsDiag.submatrix
theorem IsDiag.kronecker [MulZeroClass α] {A : Matrix m m α} {B : Matrix n n α} (hA : A.IsDiag)
(hB : B.IsDiag) : (A ⊗ₖ B).IsDiag := by
rintro ⟨a, b⟩ ⟨c, d⟩ h
simp only [Prod.mk.inj_iff, Ne, not_and_or] at h
cases' h with hac hbd
· simp [hA hac]
· simp [hB hbd]
#align matrix.is_diag.kronecker Matrix.IsDiag.kronecker
| Mathlib/LinearAlgebra/Matrix/IsDiag.lean | 152 | 155 | theorem IsDiag.isSymm [Zero α] {A : Matrix n n α} (h : A.IsDiag) : A.IsSymm := by |
ext i j
by_cases g : i = j; · rw [g, transpose_apply]
simp [h g, h (Ne.symm g)]
| 3 | 20.085537 | 1 | 1.25 | 8 | 1,302 |
import Mathlib.LinearAlgebra.Matrix.Symmetric
import Mathlib.LinearAlgebra.Matrix.Orthogonal
import Mathlib.Data.Matrix.Kronecker
#align_import linear_algebra.matrix.is_diag from "leanprover-community/mathlib"@"55e2dfde0cff928ce5c70926a3f2c7dee3e2dd99"
namespace Matrix
variable {α β R n m : Type*}
open Function
open Matrix Kronecker
def IsDiag [Zero α] (A : Matrix n n α) : Prop :=
Pairwise fun i j => A i j = 0
#align matrix.is_diag Matrix.IsDiag
@[simp]
theorem isDiag_diagonal [Zero α] [DecidableEq n] (d : n → α) : (diagonal d).IsDiag := fun _ _ =>
Matrix.diagonal_apply_ne _
#align matrix.is_diag_diagonal Matrix.isDiag_diagonal
theorem IsDiag.diagonal_diag [Zero α] [DecidableEq n] {A : Matrix n n α} (h : A.IsDiag) :
diagonal (diag A) = A :=
ext fun i j => by
obtain rfl | hij := Decidable.eq_or_ne i j
· rw [diagonal_apply_eq, diag]
· rw [diagonal_apply_ne _ hij, h hij]
#align matrix.is_diag.diagonal_diag Matrix.IsDiag.diagonal_diag
theorem isDiag_iff_diagonal_diag [Zero α] [DecidableEq n] (A : Matrix n n α) :
A.IsDiag ↔ diagonal (diag A) = A :=
⟨IsDiag.diagonal_diag, fun hd => hd ▸ isDiag_diagonal (diag A)⟩
#align matrix.is_diag_iff_diagonal_diag Matrix.isDiag_iff_diagonal_diag
theorem isDiag_of_subsingleton [Zero α] [Subsingleton n] (A : Matrix n n α) : A.IsDiag :=
fun i j h => (h <| Subsingleton.elim i j).elim
#align matrix.is_diag_of_subsingleton Matrix.isDiag_of_subsingleton
@[simp]
theorem isDiag_zero [Zero α] : (0 : Matrix n n α).IsDiag := fun _ _ _ => rfl
#align matrix.is_diag_zero Matrix.isDiag_zero
@[simp]
theorem isDiag_one [DecidableEq n] [Zero α] [One α] : (1 : Matrix n n α).IsDiag := fun _ _ =>
one_apply_ne
#align matrix.is_diag_one Matrix.isDiag_one
theorem IsDiag.map [Zero α] [Zero β] {A : Matrix n n α} (ha : A.IsDiag) {f : α → β} (hf : f 0 = 0) :
(A.map f).IsDiag := by
intro i j h
simp [ha h, hf]
#align matrix.is_diag.map Matrix.IsDiag.map
theorem IsDiag.neg [AddGroup α] {A : Matrix n n α} (ha : A.IsDiag) : (-A).IsDiag := by
intro i j h
simp [ha h]
#align matrix.is_diag.neg Matrix.IsDiag.neg
@[simp]
theorem isDiag_neg_iff [AddGroup α] {A : Matrix n n α} : (-A).IsDiag ↔ A.IsDiag :=
⟨fun ha _ _ h => neg_eq_zero.1 (ha h), IsDiag.neg⟩
#align matrix.is_diag_neg_iff Matrix.isDiag_neg_iff
theorem IsDiag.add [AddZeroClass α] {A B : Matrix n n α} (ha : A.IsDiag) (hb : B.IsDiag) :
(A + B).IsDiag := by
intro i j h
simp [ha h, hb h]
#align matrix.is_diag.add Matrix.IsDiag.add
theorem IsDiag.sub [AddGroup α] {A B : Matrix n n α} (ha : A.IsDiag) (hb : B.IsDiag) :
(A - B).IsDiag := by
intro i j h
simp [ha h, hb h]
#align matrix.is_diag.sub Matrix.IsDiag.sub
theorem IsDiag.smul [Monoid R] [AddMonoid α] [DistribMulAction R α] (k : R) {A : Matrix n n α}
(ha : A.IsDiag) : (k • A).IsDiag := by
intro i j h
simp [ha h]
#align matrix.is_diag.smul Matrix.IsDiag.smul
@[simp]
theorem isDiag_smul_one (n) [Semiring α] [DecidableEq n] (k : α) :
(k • (1 : Matrix n n α)).IsDiag :=
isDiag_one.smul k
#align matrix.is_diag_smul_one Matrix.isDiag_smul_one
theorem IsDiag.transpose [Zero α] {A : Matrix n n α} (ha : A.IsDiag) : Aᵀ.IsDiag := fun _ _ h =>
ha h.symm
#align matrix.is_diag.transpose Matrix.IsDiag.transpose
@[simp]
theorem isDiag_transpose_iff [Zero α] {A : Matrix n n α} : Aᵀ.IsDiag ↔ A.IsDiag :=
⟨IsDiag.transpose, IsDiag.transpose⟩
#align matrix.is_diag_transpose_iff Matrix.isDiag_transpose_iff
theorem IsDiag.conjTranspose [Semiring α] [StarRing α] {A : Matrix n n α} (ha : A.IsDiag) :
Aᴴ.IsDiag :=
ha.transpose.map (star_zero _)
#align matrix.is_diag.conj_transpose Matrix.IsDiag.conjTranspose
@[simp]
theorem isDiag_conjTranspose_iff [Semiring α] [StarRing α] {A : Matrix n n α} :
Aᴴ.IsDiag ↔ A.IsDiag :=
⟨fun ha => by
convert ha.conjTranspose
simp, IsDiag.conjTranspose⟩
#align matrix.is_diag_conj_transpose_iff Matrix.isDiag_conjTranspose_iff
theorem IsDiag.submatrix [Zero α] {A : Matrix n n α} (ha : A.IsDiag) {f : m → n}
(hf : Injective f) : (A.submatrix f f).IsDiag := fun _ _ h => ha (hf.ne h)
#align matrix.is_diag.submatrix Matrix.IsDiag.submatrix
theorem IsDiag.kronecker [MulZeroClass α] {A : Matrix m m α} {B : Matrix n n α} (hA : A.IsDiag)
(hB : B.IsDiag) : (A ⊗ₖ B).IsDiag := by
rintro ⟨a, b⟩ ⟨c, d⟩ h
simp only [Prod.mk.inj_iff, Ne, not_and_or] at h
cases' h with hac hbd
· simp [hA hac]
· simp [hB hbd]
#align matrix.is_diag.kronecker Matrix.IsDiag.kronecker
theorem IsDiag.isSymm [Zero α] {A : Matrix n n α} (h : A.IsDiag) : A.IsSymm := by
ext i j
by_cases g : i = j; · rw [g, transpose_apply]
simp [h g, h (Ne.symm g)]
#align matrix.is_diag.is_symm Matrix.IsDiag.isSymm
| Mathlib/LinearAlgebra/Matrix/IsDiag.lean | 159 | 165 | theorem IsDiag.fromBlocks [Zero α] {A : Matrix m m α} {D : Matrix n n α} (ha : A.IsDiag)
(hd : D.IsDiag) : (A.fromBlocks 0 0 D).IsDiag := by |
rintro (i | i) (j | j) hij
· exact ha (ne_of_apply_ne _ hij)
· rfl
· rfl
· exact hd (ne_of_apply_ne _ hij)
| 5 | 148.413159 | 2 | 1.25 | 8 | 1,302 |
import Mathlib.Data.DFinsupp.Basic
import Mathlib.Data.Finset.Pointwise
import Mathlib.LinearAlgebra.Basis.VectorSpace
#align_import algebra.group.unique_prods from "leanprover-community/mathlib"@"d6fad0e5bf2d6f48da9175d25c3dc5706b3834ce"
@[to_additive
"Let `G` be a Type with addition, let `A B : Finset G` be finite subsets and
let `a0 b0 : G` be two elements. `UniqueAdd A B a0 b0` asserts `a0 + b0` can be written in at
most one way as a sum of an element from `A` and an element from `B`."]
def UniqueMul {G} [Mul G] (A B : Finset G) (a0 b0 : G) : Prop :=
∀ ⦃a b⦄, a ∈ A → b ∈ B → a * b = a0 * b0 → a = a0 ∧ b = b0
#align unique_mul UniqueMul
#align unique_add UniqueAdd
namespace UniqueMul
variable {G H : Type*} [Mul G] [Mul H] {A B : Finset G} {a0 b0 : G}
@[to_additive (attr := nontriviality, simp)]
| Mathlib/Algebra/Group/UniqueProds.lean | 67 | 68 | theorem of_subsingleton [Subsingleton G] : UniqueMul A B a0 b0 := by |
simp [UniqueMul, eq_iff_true_of_subsingleton]
| 1 | 2.718282 | 0 | 1.25 | 4 | 1,303 |
import Mathlib.Data.DFinsupp.Basic
import Mathlib.Data.Finset.Pointwise
import Mathlib.LinearAlgebra.Basis.VectorSpace
#align_import algebra.group.unique_prods from "leanprover-community/mathlib"@"d6fad0e5bf2d6f48da9175d25c3dc5706b3834ce"
@[to_additive
"Let `G` be a Type with addition, let `A B : Finset G` be finite subsets and
let `a0 b0 : G` be two elements. `UniqueAdd A B a0 b0` asserts `a0 + b0` can be written in at
most one way as a sum of an element from `A` and an element from `B`."]
def UniqueMul {G} [Mul G] (A B : Finset G) (a0 b0 : G) : Prop :=
∀ ⦃a b⦄, a ∈ A → b ∈ B → a * b = a0 * b0 → a = a0 ∧ b = b0
#align unique_mul UniqueMul
#align unique_add UniqueAdd
namespace UniqueMul
variable {G H : Type*} [Mul G] [Mul H] {A B : Finset G} {a0 b0 : G}
@[to_additive (attr := nontriviality, simp)]
theorem of_subsingleton [Subsingleton G] : UniqueMul A B a0 b0 := by
simp [UniqueMul, eq_iff_true_of_subsingleton]
@[to_additive]
| Mathlib/Algebra/Group/UniqueProds.lean | 71 | 75 | theorem of_card_le_one (hA : A.Nonempty) (hB : B.Nonempty) (hA1 : A.card ≤ 1) (hB1 : B.card ≤ 1) :
∃ a ∈ A, ∃ b ∈ B, UniqueMul A B a b := by |
rw [Finset.card_le_one_iff] at hA1 hB1
obtain ⟨a, ha⟩ := hA; obtain ⟨b, hb⟩ := hB
exact ⟨a, ha, b, hb, fun _ _ ha' hb' _ ↦ ⟨hA1 ha' ha, hB1 hb' hb⟩⟩
| 3 | 20.085537 | 1 | 1.25 | 4 | 1,303 |
import Mathlib.Data.DFinsupp.Basic
import Mathlib.Data.Finset.Pointwise
import Mathlib.LinearAlgebra.Basis.VectorSpace
#align_import algebra.group.unique_prods from "leanprover-community/mathlib"@"d6fad0e5bf2d6f48da9175d25c3dc5706b3834ce"
@[to_additive
"Let `G` be a Type with addition, let `A B : Finset G` be finite subsets and
let `a0 b0 : G` be two elements. `UniqueAdd A B a0 b0` asserts `a0 + b0` can be written in at
most one way as a sum of an element from `A` and an element from `B`."]
def UniqueMul {G} [Mul G] (A B : Finset G) (a0 b0 : G) : Prop :=
∀ ⦃a b⦄, a ∈ A → b ∈ B → a * b = a0 * b0 → a = a0 ∧ b = b0
#align unique_mul UniqueMul
#align unique_add UniqueAdd
namespace UniqueMul
variable {G H : Type*} [Mul G] [Mul H] {A B : Finset G} {a0 b0 : G}
@[to_additive (attr := nontriviality, simp)]
theorem of_subsingleton [Subsingleton G] : UniqueMul A B a0 b0 := by
simp [UniqueMul, eq_iff_true_of_subsingleton]
@[to_additive]
theorem of_card_le_one (hA : A.Nonempty) (hB : B.Nonempty) (hA1 : A.card ≤ 1) (hB1 : B.card ≤ 1) :
∃ a ∈ A, ∃ b ∈ B, UniqueMul A B a b := by
rw [Finset.card_le_one_iff] at hA1 hB1
obtain ⟨a, ha⟩ := hA; obtain ⟨b, hb⟩ := hB
exact ⟨a, ha, b, hb, fun _ _ ha' hb' _ ↦ ⟨hA1 ha' ha, hB1 hb' hb⟩⟩
@[to_additive]
theorem mt (h : UniqueMul A B a0 b0) :
∀ ⦃a b⦄, a ∈ A → b ∈ B → a ≠ a0 ∨ b ≠ b0 → a * b ≠ a0 * b0 := fun _ _ ha hb k ↦ by
contrapose! k
exact h ha hb k
#align unique_mul.mt UniqueMul.mt
@[to_additive]
theorem subsingleton (h : UniqueMul A B a0 b0) :
Subsingleton { ab : G × G // ab.1 ∈ A ∧ ab.2 ∈ B ∧ ab.1 * ab.2 = a0 * b0 } :=
⟨fun ⟨⟨_a, _b⟩, ha, hb, ab⟩ ⟨⟨_a', _b'⟩, ha', hb', ab'⟩ ↦
Subtype.ext <|
Prod.ext ((h ha hb ab).1.trans (h ha' hb' ab').1.symm) <|
(h ha hb ab).2.trans (h ha' hb' ab').2.symm⟩
#align unique_mul.subsingleton UniqueMul.subsingleton
#align unique_add.subsingleton UniqueAdd.subsingleton
@[to_additive]
| Mathlib/Algebra/Group/UniqueProds.lean | 95 | 101 | theorem set_subsingleton (h : UniqueMul A B a0 b0) :
Set.Subsingleton { ab : G × G | ab.1 ∈ A ∧ ab.2 ∈ B ∧ ab.1 * ab.2 = a0 * b0 } := by |
rintro ⟨x1, y1⟩ (hx : x1 ∈ A ∧ y1 ∈ B ∧ x1 * y1 = a0 * b0) ⟨x2, y2⟩
(hy : x2 ∈ A ∧ y2 ∈ B ∧ x2 * y2 = a0 * b0)
rcases h hx.1 hx.2.1 hx.2.2 with ⟨rfl, rfl⟩
rcases h hy.1 hy.2.1 hy.2.2 with ⟨rfl, rfl⟩
rfl
| 5 | 148.413159 | 2 | 1.25 | 4 | 1,303 |
import Mathlib.Data.DFinsupp.Basic
import Mathlib.Data.Finset.Pointwise
import Mathlib.LinearAlgebra.Basis.VectorSpace
#align_import algebra.group.unique_prods from "leanprover-community/mathlib"@"d6fad0e5bf2d6f48da9175d25c3dc5706b3834ce"
@[to_additive
"Let `G` be a Type with addition, let `A B : Finset G` be finite subsets and
let `a0 b0 : G` be two elements. `UniqueAdd A B a0 b0` asserts `a0 + b0` can be written in at
most one way as a sum of an element from `A` and an element from `B`."]
def UniqueMul {G} [Mul G] (A B : Finset G) (a0 b0 : G) : Prop :=
∀ ⦃a b⦄, a ∈ A → b ∈ B → a * b = a0 * b0 → a = a0 ∧ b = b0
#align unique_mul UniqueMul
#align unique_add UniqueAdd
namespace UniqueMul
variable {G H : Type*} [Mul G] [Mul H] {A B : Finset G} {a0 b0 : G}
@[to_additive (attr := nontriviality, simp)]
theorem of_subsingleton [Subsingleton G] : UniqueMul A B a0 b0 := by
simp [UniqueMul, eq_iff_true_of_subsingleton]
@[to_additive]
theorem of_card_le_one (hA : A.Nonempty) (hB : B.Nonempty) (hA1 : A.card ≤ 1) (hB1 : B.card ≤ 1) :
∃ a ∈ A, ∃ b ∈ B, UniqueMul A B a b := by
rw [Finset.card_le_one_iff] at hA1 hB1
obtain ⟨a, ha⟩ := hA; obtain ⟨b, hb⟩ := hB
exact ⟨a, ha, b, hb, fun _ _ ha' hb' _ ↦ ⟨hA1 ha' ha, hB1 hb' hb⟩⟩
@[to_additive]
theorem mt (h : UniqueMul A B a0 b0) :
∀ ⦃a b⦄, a ∈ A → b ∈ B → a ≠ a0 ∨ b ≠ b0 → a * b ≠ a0 * b0 := fun _ _ ha hb k ↦ by
contrapose! k
exact h ha hb k
#align unique_mul.mt UniqueMul.mt
@[to_additive]
theorem subsingleton (h : UniqueMul A B a0 b0) :
Subsingleton { ab : G × G // ab.1 ∈ A ∧ ab.2 ∈ B ∧ ab.1 * ab.2 = a0 * b0 } :=
⟨fun ⟨⟨_a, _b⟩, ha, hb, ab⟩ ⟨⟨_a', _b'⟩, ha', hb', ab'⟩ ↦
Subtype.ext <|
Prod.ext ((h ha hb ab).1.trans (h ha' hb' ab').1.symm) <|
(h ha hb ab).2.trans (h ha' hb' ab').2.symm⟩
#align unique_mul.subsingleton UniqueMul.subsingleton
#align unique_add.subsingleton UniqueAdd.subsingleton
@[to_additive]
theorem set_subsingleton (h : UniqueMul A B a0 b0) :
Set.Subsingleton { ab : G × G | ab.1 ∈ A ∧ ab.2 ∈ B ∧ ab.1 * ab.2 = a0 * b0 } := by
rintro ⟨x1, y1⟩ (hx : x1 ∈ A ∧ y1 ∈ B ∧ x1 * y1 = a0 * b0) ⟨x2, y2⟩
(hy : x2 ∈ A ∧ y2 ∈ B ∧ x2 * y2 = a0 * b0)
rcases h hx.1 hx.2.1 hx.2.2 with ⟨rfl, rfl⟩
rcases h hy.1 hy.2.1 hy.2.2 with ⟨rfl, rfl⟩
rfl
#align unique_mul.set_subsingleton UniqueMul.set_subsingleton
#align unique_add.set_subsingleton UniqueAdd.set_subsingleton
-- Porting note: mathport warning: expanding binder collection
-- (ab «expr ∈ » [finset.product/multiset.product/set.prod/list.product](A, B)) -/
@[to_additive]
theorem iff_existsUnique (aA : a0 ∈ A) (bB : b0 ∈ B) :
UniqueMul A B a0 b0 ↔ ∃! ab, ab ∈ A ×ˢ B ∧ ab.1 * ab.2 = a0 * b0 :=
⟨fun _ ↦ ⟨(a0, b0), ⟨Finset.mk_mem_product aA bB, rfl⟩, by simpa⟩,
fun h ↦ h.elim
(by
rintro ⟨x1, x2⟩ _ J x y hx hy l
rcases Prod.mk.inj_iff.mp (J (a0, b0) ⟨Finset.mk_mem_product aA bB, rfl⟩) with ⟨rfl, rfl⟩
exact Prod.mk.inj_iff.mp (J (x, y) ⟨Finset.mk_mem_product hx hy, l⟩))⟩
#align unique_mul.iff_exists_unique UniqueMul.iff_existsUniqueₓ
#align unique_add.iff_exists_unique UniqueAdd.iff_existsUniqueₓ
open Finset in
@[to_additive]
| Mathlib/Algebra/Group/UniqueProds.lean | 121 | 129 | theorem iff_card_le_one [DecidableEq G] (ha0 : a0 ∈ A) (hb0 : b0 ∈ B) :
UniqueMul A B a0 b0 ↔ ((A ×ˢ B).filter (fun p ↦ p.1 * p.2 = a0 * b0)).card ≤ 1 := by |
simp_rw [card_le_one_iff, mem_filter, mem_product]
refine ⟨fun h p1 p2 ⟨⟨ha1, hb1⟩, he1⟩ ⟨⟨ha2, hb2⟩, he2⟩ ↦ ?_, fun h a b ha hb he ↦ ?_⟩
· have h1 := h ha1 hb1 he1; have h2 := h ha2 hb2 he2
ext
· rw [h1.1, h2.1]
· rw [h1.2, h2.2]
· exact Prod.ext_iff.1 (@h (a, b) (a0, b0) ⟨⟨ha, hb⟩, he⟩ ⟨⟨ha0, hb0⟩, rfl⟩)
| 7 | 1,096.633158 | 2 | 1.25 | 4 | 1,303 |
import Mathlib.MeasureTheory.Constructions.Prod.Basic
import Mathlib.MeasureTheory.Integral.DominatedConvergence
import Mathlib.MeasureTheory.Integral.SetIntegral
#align_import measure_theory.constructions.prod.integral from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
noncomputable section
open scoped Classical Topology ENNReal MeasureTheory
open Set Function Real ENNReal
open MeasureTheory MeasurableSpace MeasureTheory.Measure
open TopologicalSpace
open Filter hiding prod_eq map
variable {α α' β β' γ E : Type*}
variable [MeasurableSpace α] [MeasurableSpace α'] [MeasurableSpace β] [MeasurableSpace β']
variable [MeasurableSpace γ]
variable {μ μ' : Measure α} {ν ν' : Measure β} {τ : Measure γ}
variable [NormedAddCommGroup E]
| Mathlib/MeasureTheory/Constructions/Prod/Integral.lean | 64 | 67 | theorem measurableSet_integrable [SigmaFinite ν] ⦃f : α → β → E⦄
(hf : StronglyMeasurable (uncurry f)) : MeasurableSet {x | Integrable (f x) ν} := by |
simp_rw [Integrable, hf.of_uncurry_left.aestronglyMeasurable, true_and_iff]
exact measurableSet_lt (Measurable.lintegral_prod_right hf.ennnorm) measurable_const
| 2 | 7.389056 | 1 | 1.25 | 4 | 1,304 |
import Mathlib.MeasureTheory.Constructions.Prod.Basic
import Mathlib.MeasureTheory.Integral.DominatedConvergence
import Mathlib.MeasureTheory.Integral.SetIntegral
#align_import measure_theory.constructions.prod.integral from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
noncomputable section
open scoped Classical Topology ENNReal MeasureTheory
open Set Function Real ENNReal
open MeasureTheory MeasurableSpace MeasureTheory.Measure
open TopologicalSpace
open Filter hiding prod_eq map
variable {α α' β β' γ E : Type*}
variable [MeasurableSpace α] [MeasurableSpace α'] [MeasurableSpace β] [MeasurableSpace β']
variable [MeasurableSpace γ]
variable {μ μ' : Measure α} {ν ν' : Measure β} {τ : Measure γ}
variable [NormedAddCommGroup E]
theorem measurableSet_integrable [SigmaFinite ν] ⦃f : α → β → E⦄
(hf : StronglyMeasurable (uncurry f)) : MeasurableSet {x | Integrable (f x) ν} := by
simp_rw [Integrable, hf.of_uncurry_left.aestronglyMeasurable, true_and_iff]
exact measurableSet_lt (Measurable.lintegral_prod_right hf.ennnorm) measurable_const
#align measurable_set_integrable measurableSet_integrable
section
variable [NormedSpace ℝ E]
| Mathlib/MeasureTheory/Constructions/Prod/Integral.lean | 77 | 122 | theorem MeasureTheory.StronglyMeasurable.integral_prod_right [SigmaFinite ν] ⦃f : α → β → E⦄
(hf : StronglyMeasurable (uncurry f)) : StronglyMeasurable fun x => ∫ y, f x y ∂ν := by |
by_cases hE : CompleteSpace E; swap; · simp [integral, hE, stronglyMeasurable_const]
borelize E
haveI : SeparableSpace (range (uncurry f) ∪ {0} : Set E) :=
hf.separableSpace_range_union_singleton
let s : ℕ → SimpleFunc (α × β) E :=
SimpleFunc.approxOn _ hf.measurable (range (uncurry f) ∪ {0}) 0 (by simp)
let s' : ℕ → α → SimpleFunc β E := fun n x => (s n).comp (Prod.mk x) measurable_prod_mk_left
let f' : ℕ → α → E := fun n => {x | Integrable (f x) ν}.indicator fun x => (s' n x).integral ν
have hf' : ∀ n, StronglyMeasurable (f' n) := by
intro n; refine StronglyMeasurable.indicator ?_ (measurableSet_integrable hf)
have : ∀ x, ((s' n x).range.filter fun x => x ≠ 0) ⊆ (s n).range := by
intro x; refine Finset.Subset.trans (Finset.filter_subset _ _) ?_; intro y
simp_rw [SimpleFunc.mem_range]; rintro ⟨z, rfl⟩; exact ⟨(x, z), rfl⟩
simp only [SimpleFunc.integral_eq_sum_of_subset (this _)]
refine Finset.stronglyMeasurable_sum _ fun x _ => ?_
refine (Measurable.ennreal_toReal ?_).stronglyMeasurable.smul_const _
simp only [s', SimpleFunc.coe_comp, preimage_comp]
apply measurable_measure_prod_mk_left
exact (s n).measurableSet_fiber x
have h2f' : Tendsto f' atTop (𝓝 fun x : α => ∫ y : β, f x y ∂ν) := by
rw [tendsto_pi_nhds]; intro x
by_cases hfx : Integrable (f x) ν
· have (n) : Integrable (s' n x) ν := by
apply (hfx.norm.add hfx.norm).mono' (s' n x).aestronglyMeasurable
filter_upwards with y
simp_rw [s', SimpleFunc.coe_comp]; exact SimpleFunc.norm_approxOn_zero_le _ _ (x, y) n
simp only [f', hfx, SimpleFunc.integral_eq_integral _ (this _), indicator_of_mem,
mem_setOf_eq]
refine
tendsto_integral_of_dominated_convergence (fun y => ‖f x y‖ + ‖f x y‖)
(fun n => (s' n x).aestronglyMeasurable) (hfx.norm.add hfx.norm) ?_ ?_
· refine fun n => eventually_of_forall fun y =>
SimpleFunc.norm_approxOn_zero_le ?_ ?_ (x, y) n
-- Porting note: Lean 3 solved the following two subgoals on its own
· exact hf.measurable
· simp
· refine eventually_of_forall fun y => SimpleFunc.tendsto_approxOn ?_ ?_ ?_
-- Porting note: Lean 3 solved the following two subgoals on its own
· exact hf.measurable.of_uncurry_left
· simp
apply subset_closure
simp [-uncurry_apply_pair]
· simp [f', hfx, integral_undef]
exact stronglyMeasurable_of_tendsto _ hf' h2f'
| 44 | 12,851,600,114,359,308,000 | 2 | 1.25 | 4 | 1,304 |
import Mathlib.MeasureTheory.Constructions.Prod.Basic
import Mathlib.MeasureTheory.Integral.DominatedConvergence
import Mathlib.MeasureTheory.Integral.SetIntegral
#align_import measure_theory.constructions.prod.integral from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
noncomputable section
open scoped Classical Topology ENNReal MeasureTheory
open Set Function Real ENNReal
open MeasureTheory MeasurableSpace MeasureTheory.Measure
open TopologicalSpace
open Filter hiding prod_eq map
variable {α α' β β' γ E : Type*}
variable [MeasurableSpace α] [MeasurableSpace α'] [MeasurableSpace β] [MeasurableSpace β']
variable [MeasurableSpace γ]
variable {μ μ' : Measure α} {ν ν' : Measure β} {τ : Measure γ}
variable [NormedAddCommGroup E]
theorem measurableSet_integrable [SigmaFinite ν] ⦃f : α → β → E⦄
(hf : StronglyMeasurable (uncurry f)) : MeasurableSet {x | Integrable (f x) ν} := by
simp_rw [Integrable, hf.of_uncurry_left.aestronglyMeasurable, true_and_iff]
exact measurableSet_lt (Measurable.lintegral_prod_right hf.ennnorm) measurable_const
#align measurable_set_integrable measurableSet_integrable
section
variable [NormedSpace ℝ E]
theorem MeasureTheory.StronglyMeasurable.integral_prod_right [SigmaFinite ν] ⦃f : α → β → E⦄
(hf : StronglyMeasurable (uncurry f)) : StronglyMeasurable fun x => ∫ y, f x y ∂ν := by
by_cases hE : CompleteSpace E; swap; · simp [integral, hE, stronglyMeasurable_const]
borelize E
haveI : SeparableSpace (range (uncurry f) ∪ {0} : Set E) :=
hf.separableSpace_range_union_singleton
let s : ℕ → SimpleFunc (α × β) E :=
SimpleFunc.approxOn _ hf.measurable (range (uncurry f) ∪ {0}) 0 (by simp)
let s' : ℕ → α → SimpleFunc β E := fun n x => (s n).comp (Prod.mk x) measurable_prod_mk_left
let f' : ℕ → α → E := fun n => {x | Integrable (f x) ν}.indicator fun x => (s' n x).integral ν
have hf' : ∀ n, StronglyMeasurable (f' n) := by
intro n; refine StronglyMeasurable.indicator ?_ (measurableSet_integrable hf)
have : ∀ x, ((s' n x).range.filter fun x => x ≠ 0) ⊆ (s n).range := by
intro x; refine Finset.Subset.trans (Finset.filter_subset _ _) ?_; intro y
simp_rw [SimpleFunc.mem_range]; rintro ⟨z, rfl⟩; exact ⟨(x, z), rfl⟩
simp only [SimpleFunc.integral_eq_sum_of_subset (this _)]
refine Finset.stronglyMeasurable_sum _ fun x _ => ?_
refine (Measurable.ennreal_toReal ?_).stronglyMeasurable.smul_const _
simp only [s', SimpleFunc.coe_comp, preimage_comp]
apply measurable_measure_prod_mk_left
exact (s n).measurableSet_fiber x
have h2f' : Tendsto f' atTop (𝓝 fun x : α => ∫ y : β, f x y ∂ν) := by
rw [tendsto_pi_nhds]; intro x
by_cases hfx : Integrable (f x) ν
· have (n) : Integrable (s' n x) ν := by
apply (hfx.norm.add hfx.norm).mono' (s' n x).aestronglyMeasurable
filter_upwards with y
simp_rw [s', SimpleFunc.coe_comp]; exact SimpleFunc.norm_approxOn_zero_le _ _ (x, y) n
simp only [f', hfx, SimpleFunc.integral_eq_integral _ (this _), indicator_of_mem,
mem_setOf_eq]
refine
tendsto_integral_of_dominated_convergence (fun y => ‖f x y‖ + ‖f x y‖)
(fun n => (s' n x).aestronglyMeasurable) (hfx.norm.add hfx.norm) ?_ ?_
· refine fun n => eventually_of_forall fun y =>
SimpleFunc.norm_approxOn_zero_le ?_ ?_ (x, y) n
-- Porting note: Lean 3 solved the following two subgoals on its own
· exact hf.measurable
· simp
· refine eventually_of_forall fun y => SimpleFunc.tendsto_approxOn ?_ ?_ ?_
-- Porting note: Lean 3 solved the following two subgoals on its own
· exact hf.measurable.of_uncurry_left
· simp
apply subset_closure
simp [-uncurry_apply_pair]
· simp [f', hfx, integral_undef]
exact stronglyMeasurable_of_tendsto _ hf' h2f'
#align measure_theory.strongly_measurable.integral_prod_right MeasureTheory.StronglyMeasurable.integral_prod_right
| Mathlib/MeasureTheory/Constructions/Prod/Integral.lean | 127 | 129 | theorem MeasureTheory.StronglyMeasurable.integral_prod_right' [SigmaFinite ν] ⦃f : α × β → E⦄
(hf : StronglyMeasurable f) : StronglyMeasurable fun x => ∫ y, f (x, y) ∂ν := by |
rw [← uncurry_curry f] at hf; exact hf.integral_prod_right
| 1 | 2.718282 | 0 | 1.25 | 4 | 1,304 |
import Mathlib.MeasureTheory.Constructions.Prod.Basic
import Mathlib.MeasureTheory.Integral.DominatedConvergence
import Mathlib.MeasureTheory.Integral.SetIntegral
#align_import measure_theory.constructions.prod.integral from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
noncomputable section
open scoped Classical Topology ENNReal MeasureTheory
open Set Function Real ENNReal
open MeasureTheory MeasurableSpace MeasureTheory.Measure
open TopologicalSpace
open Filter hiding prod_eq map
variable {α α' β β' γ E : Type*}
variable [MeasurableSpace α] [MeasurableSpace α'] [MeasurableSpace β] [MeasurableSpace β']
variable [MeasurableSpace γ]
variable {μ μ' : Measure α} {ν ν' : Measure β} {τ : Measure γ}
variable [NormedAddCommGroup E]
theorem measurableSet_integrable [SigmaFinite ν] ⦃f : α → β → E⦄
(hf : StronglyMeasurable (uncurry f)) : MeasurableSet {x | Integrable (f x) ν} := by
simp_rw [Integrable, hf.of_uncurry_left.aestronglyMeasurable, true_and_iff]
exact measurableSet_lt (Measurable.lintegral_prod_right hf.ennnorm) measurable_const
#align measurable_set_integrable measurableSet_integrable
section
variable [NormedSpace ℝ E]
theorem MeasureTheory.StronglyMeasurable.integral_prod_right [SigmaFinite ν] ⦃f : α → β → E⦄
(hf : StronglyMeasurable (uncurry f)) : StronglyMeasurable fun x => ∫ y, f x y ∂ν := by
by_cases hE : CompleteSpace E; swap; · simp [integral, hE, stronglyMeasurable_const]
borelize E
haveI : SeparableSpace (range (uncurry f) ∪ {0} : Set E) :=
hf.separableSpace_range_union_singleton
let s : ℕ → SimpleFunc (α × β) E :=
SimpleFunc.approxOn _ hf.measurable (range (uncurry f) ∪ {0}) 0 (by simp)
let s' : ℕ → α → SimpleFunc β E := fun n x => (s n).comp (Prod.mk x) measurable_prod_mk_left
let f' : ℕ → α → E := fun n => {x | Integrable (f x) ν}.indicator fun x => (s' n x).integral ν
have hf' : ∀ n, StronglyMeasurable (f' n) := by
intro n; refine StronglyMeasurable.indicator ?_ (measurableSet_integrable hf)
have : ∀ x, ((s' n x).range.filter fun x => x ≠ 0) ⊆ (s n).range := by
intro x; refine Finset.Subset.trans (Finset.filter_subset _ _) ?_; intro y
simp_rw [SimpleFunc.mem_range]; rintro ⟨z, rfl⟩; exact ⟨(x, z), rfl⟩
simp only [SimpleFunc.integral_eq_sum_of_subset (this _)]
refine Finset.stronglyMeasurable_sum _ fun x _ => ?_
refine (Measurable.ennreal_toReal ?_).stronglyMeasurable.smul_const _
simp only [s', SimpleFunc.coe_comp, preimage_comp]
apply measurable_measure_prod_mk_left
exact (s n).measurableSet_fiber x
have h2f' : Tendsto f' atTop (𝓝 fun x : α => ∫ y : β, f x y ∂ν) := by
rw [tendsto_pi_nhds]; intro x
by_cases hfx : Integrable (f x) ν
· have (n) : Integrable (s' n x) ν := by
apply (hfx.norm.add hfx.norm).mono' (s' n x).aestronglyMeasurable
filter_upwards with y
simp_rw [s', SimpleFunc.coe_comp]; exact SimpleFunc.norm_approxOn_zero_le _ _ (x, y) n
simp only [f', hfx, SimpleFunc.integral_eq_integral _ (this _), indicator_of_mem,
mem_setOf_eq]
refine
tendsto_integral_of_dominated_convergence (fun y => ‖f x y‖ + ‖f x y‖)
(fun n => (s' n x).aestronglyMeasurable) (hfx.norm.add hfx.norm) ?_ ?_
· refine fun n => eventually_of_forall fun y =>
SimpleFunc.norm_approxOn_zero_le ?_ ?_ (x, y) n
-- Porting note: Lean 3 solved the following two subgoals on its own
· exact hf.measurable
· simp
· refine eventually_of_forall fun y => SimpleFunc.tendsto_approxOn ?_ ?_ ?_
-- Porting note: Lean 3 solved the following two subgoals on its own
· exact hf.measurable.of_uncurry_left
· simp
apply subset_closure
simp [-uncurry_apply_pair]
· simp [f', hfx, integral_undef]
exact stronglyMeasurable_of_tendsto _ hf' h2f'
#align measure_theory.strongly_measurable.integral_prod_right MeasureTheory.StronglyMeasurable.integral_prod_right
theorem MeasureTheory.StronglyMeasurable.integral_prod_right' [SigmaFinite ν] ⦃f : α × β → E⦄
(hf : StronglyMeasurable f) : StronglyMeasurable fun x => ∫ y, f (x, y) ∂ν := by
rw [← uncurry_curry f] at hf; exact hf.integral_prod_right
#align measure_theory.strongly_measurable.integral_prod_right' MeasureTheory.StronglyMeasurable.integral_prod_right'
theorem MeasureTheory.StronglyMeasurable.integral_prod_left [SigmaFinite μ] ⦃f : α → β → E⦄
(hf : StronglyMeasurable (uncurry f)) : StronglyMeasurable fun y => ∫ x, f x y ∂μ :=
(hf.comp_measurable measurable_swap).integral_prod_right'
#align measure_theory.strongly_measurable.integral_prod_left MeasureTheory.StronglyMeasurable.integral_prod_left
theorem MeasureTheory.StronglyMeasurable.integral_prod_left' [SigmaFinite μ] ⦃f : α × β → E⦄
(hf : StronglyMeasurable f) : StronglyMeasurable fun y => ∫ x, f (x, y) ∂μ :=
(hf.comp_measurable measurable_swap).integral_prod_right'
#align measure_theory.strongly_measurable.integral_prod_left' MeasureTheory.StronglyMeasurable.integral_prod_left'
end
namespace MeasureTheory
namespace Measure
variable [SigmaFinite ν]
| Mathlib/MeasureTheory/Constructions/Prod/Integral.lean | 158 | 167 | theorem integrable_measure_prod_mk_left {s : Set (α × β)} (hs : MeasurableSet s)
(h2s : (μ.prod ν) s ≠ ∞) : Integrable (fun x => (ν (Prod.mk x ⁻¹' s)).toReal) μ := by |
refine ⟨(measurable_measure_prod_mk_left hs).ennreal_toReal.aemeasurable.aestronglyMeasurable, ?_⟩
simp_rw [HasFiniteIntegral, ennnorm_eq_ofReal toReal_nonneg]
convert h2s.lt_top using 1
-- Porting note: was `simp_rw`
rw [prod_apply hs]
apply lintegral_congr_ae
filter_upwards [ae_measure_lt_top hs h2s] with x hx
rw [lt_top_iff_ne_top] at hx; simp [ofReal_toReal, hx]
| 8 | 2,980.957987 | 2 | 1.25 | 4 | 1,304 |
import Mathlib.Algebra.Lie.Nilpotent
import Mathlib.Algebra.Lie.Normalizer
#align_import algebra.lie.cartan_subalgebra from "leanprover-community/mathlib"@"938fead7abdc0cbbca8eba7a1052865a169dc102"
universe u v w w₁ w₂
variable {R : Type u} {L : Type v}
variable [CommRing R] [LieRing L] [LieAlgebra R L] (H : LieSubalgebra R L)
def LieSubmodule.IsUcsLimit {M : Type*} [AddCommGroup M] [Module R M] [LieRingModule L M]
[LieModule R L M] (N : LieSubmodule R L M) : Prop :=
∃ k, ∀ l, k ≤ l → (⊥ : LieSubmodule R L M).ucs l = N
#align lie_submodule.is_ucs_limit LieSubmodule.IsUcsLimit
namespace LieSubalgebra
class IsCartanSubalgebra : Prop where
nilpotent : LieAlgebra.IsNilpotent R H
self_normalizing : H.normalizer = H
#align lie_subalgebra.is_cartan_subalgebra LieSubalgebra.IsCartanSubalgebra
instance [H.IsCartanSubalgebra] : LieAlgebra.IsNilpotent R H :=
IsCartanSubalgebra.nilpotent
@[simp]
| Mathlib/Algebra/Lie/CartanSubalgebra.lean | 58 | 61 | theorem normalizer_eq_self_of_isCartanSubalgebra (H : LieSubalgebra R L) [H.IsCartanSubalgebra] :
H.toLieSubmodule.normalizer = H.toLieSubmodule := by |
rw [← LieSubmodule.coe_toSubmodule_eq_iff, coe_normalizer_eq_normalizer,
IsCartanSubalgebra.self_normalizing, coe_toLieSubmodule]
| 2 | 7.389056 | 1 | 1.25 | 4 | 1,305 |
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