openAI-math-dataset / lean /OAI /Analysis /FiniteFactor /BoundedMatrixOperator.lean
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Add lean source and binary files (part 17)
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import Mathlib.Analysis.InnerProductSpace.l2Space
import Mathlib.Analysis.Normed.Operator.Extend
namespace OAI
namespace FiniteFactor
open Filter
open scoped ENNReal Topology
noncomputable section
abbrev SourceFiberHilbert := lp (fun _ : ℤ => ℂ) 2
/-- Canonical inclusion of finite coordinate vectors in l2(Z). -/
def fiberFiniteEmbedding : (ℤ →₀ ℂ) →ₗ[ℂ] SourceFiberHilbert :=
Finsupp.linearCombination ℂ (fun n => lp.single 2 n (1 : ℂ))
theorem fiberFiniteEmbedding_single (n : ℤ) (c : ℂ) :
fiberFiniteEmbedding (Finsupp.single n c) = lp.single 2 n c := by
simp [fiberFiniteEmbedding, ← lp.single_smul]
theorem fiberFiniteEmbedding_sum (a : ℤ →₀ ℂ) :
fiberFiniteEmbedding a = ∑ n ∈ a.support, lp.single 2 n (a n) := by
simp [fiberFiniteEmbedding, Finsupp.linearCombination_apply, Finsupp.sum, ← lp.single_smul]
theorem fiberFiniteEmbedding_norm_sq (a : ℤ →₀ ℂ) :
‖fiberFiniteEmbedding a‖ ^ 2 = ∑ n ∈ a.support, ‖a n‖ ^ 2 := by
rw [fiberFiniteEmbedding_sum]
simpa using lp.norm_sum_single (p := (2 : ℝ≥0∞)) (by norm_num) a a.support
theorem fiberFiniteEmbedding_dense : DenseRange fiberFiniteEmbedding := by
intro x
apply isClosed_closure.mem_of_tendsto (lp.hasSum_single (by norm_num : (2 : ℝ≥0∞) ≠ ∞) x)
apply Eventually.of_forall
intro s
apply subset_closure
refine ⟨∑ n ∈ s, Finsupp.single n (x n), ?_⟩
simp [fiberFiniteEmbedding_single]
/-- The algebraic action of a matrix on finite vectors. -/
def fiberMatrixLinear (m : ℤ → ℤ → ℂ) : (ℤ →₀ ℂ) →ₗ[ℂ] (ℤ → ℂ) :=
Finsupp.linearCombination ℂ (fun n k => m k n)
theorem fiberMatrixLinear_apply (m : ℤ → ℤ → ℂ) (a : ℤ →₀ ℂ) (k : ℤ) :
fiberMatrixLinear m a k = ∑ n ∈ a.support, a n * m k n := by
simp [fiberMatrixLinear, Finsupp.linearCombination_apply, Finsupp.sum, Finset.sum_apply,
Pi.smul_apply, smul_eq_mul]
/-- Every bounded operator is determined by its coordinate matrix. -/
theorem fiberOperator_ext {A B : SourceFiberHilbert →L[ℂ] SourceFiberHilbert}
(h : ∀ k n : ℤ, (A (lp.single 2 n (1 : ℂ))) k = (B (lp.single 2 n (1 : ℂ))) k) : A = B := by
apply lp.ext_continuousLinearMap (by norm_num : (2 : ℝ≥0∞) ≠ ∞)
intro n
apply ContinuousLinearMap.ext
intro c
apply Subtype.ext
funext k
change (A (lp.single 2 n c)) k = (B (lp.single 2 n c)) k
have he : lp.single 2 n c = c • (lp.single 2 n (1 : ℂ) : SourceFiberHilbert) := by
simp [← lp.single_smul]
rw [he, map_smul, map_smul]
change c * (A (lp.single 2 n 1)) k = c * (B (lp.single 2 n 1)) k
rw [h]
theorem fiberOperator_hasSum (A : SourceFiberHilbert →L[ℂ] SourceFiberHilbert)
(v : SourceFiberHilbert) :
HasSum (fun n : ℤ => v n • A (lp.single 2 n (1 : ℂ))) (A v) := by
convert (lp.hasSum_single (by norm_num : (2 : ℝ≥0∞) ≠ ∞) v).map A A.continuous using 1
funext n
have he : lp.single 2 n (v n) = v n • (lp.single 2 n (1 : ℂ) : SourceFiberHilbert) := by
simp [← lp.single_smul]
change v n • A (lp.single 2 n (1 : ℂ)) = A (lp.single 2 n (v n))
rw [he, map_smul]
theorem fiberOperator_action (A : SourceFiberHilbert →L[ℂ] SourceFiberHilbert)
(v : SourceFiberHilbert) (k : ℤ) :
(A v) k = ∑' n : ℤ, (A (lp.single 2 n (1 : ℂ))) k * v n := by
have h := (fiberOperator_hasSum A v).map
(lp.evalCLM ℂ (fun _ : ℤ => ℂ) 2 k) (lp.evalCLM ℂ (fun _ : ℤ => ℂ) 2 k).continuous
have he := h.tsum_eq.symm
change (A v) k = ∑' n : ℤ, v n * (A (lp.single 2 n (1 : ℂ))) k at he
simpa only [mul_comm] using he
variable (m : ℤ → ℤ → ℂ) (C : ℝ)
variable (hb : ∀ (s t : Finset ℤ) (a : ℤ → ℂ),
(∑ k ∈ t, ‖∑ n ∈ s, a n * m k n‖ ^ 2) ≤ C ^ 2 * ∑ n ∈ s, ‖a n‖ ^ 2)
include C hb in
theorem fiberMatrixLinear_mem (a : ℤ →₀ ℂ) : Memℓp (fiberMatrixLinear m a) 2 := by
apply memℓp_gen' (C := C ^ 2 * ∑ n ∈ a.support, ‖a n‖ ^ 2)
intro t
simpa [fiberMatrixLinear_apply] using hb a.support t a
/-- The finite matrix action takes values in actual l2, by the finite-sum bound. -/
def fiberMatrixFinite : (ℤ →₀ ℂ) →ₗ[ℂ] SourceFiberHilbert where
toFun a := ⟨fiberMatrixLinear m a, fiberMatrixLinear_mem m C hb a⟩
map_add' a b := by apply Subtype.ext; exact map_add (fiberMatrixLinear m) a b
map_smul' c a := by apply Subtype.ext; exact map_smul (fiberMatrixLinear m) c a
theorem fiberMatrixFinite_norm_le (hC : 0 ≤ C) (a : ℤ →₀ ℂ) :
‖fiberMatrixFinite m C hb a‖ ≤ C * ‖fiberFiniteEmbedding a‖ := by
have he : ‖fiberMatrixFinite m C hb a‖ ^ 2 =
∑' k, ‖fiberMatrixLinear m a k‖ ^ 2 := by
simpa [fiberMatrixFinite] using lp.norm_rpow_eq_tsum (p := (2 : ℝ≥0∞)) (by norm_num)
(fiberMatrixFinite m C hb a)
have hsum : (∑' k, ‖fiberMatrixLinear m a k‖ ^ 2) ≤
C ^ 2 * ∑ n ∈ a.support, ‖a n‖ ^ 2 := by
apply Real.tsum_le_of_sum_le
· intro k; positivity
· intro t; simpa [fiberMatrixLinear_apply] using hb a.support t a
rw [← he, ← fiberFiniteEmbedding_norm_sq] at hsum
have hpos := mul_nonneg hC (norm_nonneg (fiberFiniteEmbedding a))
nlinarith [norm_nonneg (fiberMatrixFinite m C hb a)]
/-- Extension of the bounded finite matrix action to every l2 vector. -/
def boundedMatrixOperator : SourceFiberHilbert →L[ℂ] SourceFiberHilbert :=
(fiberMatrixFinite m C hb).extendOfNorm fiberFiniteEmbedding
theorem boundedMatrixOperator_norm (hC : 0 ≤ C) : ‖boundedMatrixOperator m C hb‖ ≤ C :=
LinearMap.opNorm_extendOfNorm_le fiberFiniteEmbedding_dense hC
(fiberMatrixFinite_norm_le m C hb hC)
theorem boundedMatrixOperator_entry (hC : 0 ≤ C) (k n : ℤ) :
(boundedMatrixOperator m C hb (lp.single 2 n (1 : ℂ))) k = m k n := by
rw [← fiberFiniteEmbedding_single n 1]
change ((fiberMatrixFinite m C hb).extendOfNorm fiberFiniteEmbedding
(fiberFiniteEmbedding (Finsupp.single n 1))) k = _
rw [LinearMap.extendOfNorm_eq fiberFiniteEmbedding_dense
⟨C, fiberMatrixFinite_norm_le m C hb hC⟩]
change fiberMatrixLinear m (Finsupp.single n 1) k = _
simp [fiberMatrixLinear]
end
end FiniteFactor
end OAI