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Project-declaredLean 4.32.0 · mathlib@81a5d257c8e4

Partial Fourier Sum L2 norm

partialFourierSumL2_norm

Plain-language statement

For an L2L^2 function on a circle of period TT, the squared L2L^2 norm of its NNth partial Fourier sum equals the sum of the squared magnitudes of its Fourier coefficients from N-N through NN:

SNf22=n=NNf^(n)2.\lVert S_Nf\rVert_2^2=\sum_{n=-N}^{N}|\widehat f(n)|^2.

Exact Lean statement

lemma partialFourierSumL2_norm {T : ℝ} [hT : Fact (0 < T)] [h2 : Fact (1 ≤ (2 : ENNReal))] {f : ↥(Lp ℂ 2 haarAddCircle)} {N : ℕ} :
    ‖partialFourierSumLp 2 N f‖ ^ 2 = ∑ n ∈ Finset.Icc (-Int.ofNat N) N, ‖@fourierCoeff T hT _ _ _ f n‖ ^ 2

Formal artifact

Lean source

Canonical source
Full Lean sourceLean 4
lemma partialFourierSumL2_norm {T : } [hT : Fact (0 < T)] [h2 : Fact (1  (2 : ENNReal))] {f : ↥(Lp2 haarAddCircle)} {N : } :    ‖partialFourierSumLp 2 N f‖ ^ 2 = ∑ n  Finset.Icc (-Int.ofNat N) N, ‖@fourierCoeff T hT _ _ _ f n‖ ^ 2 := by  calc ‖partialFourierSumLp 2 N f‖ ^ 2    _ = ‖partialFourierSumLp 2 N f‖ ^ (2 : ) := by      rw [ Real.rpow_natCast]; rfl    _ =fourierBasis.repr (partialFourierSumLp 2 N f)‖ ^ (2 : ) := by      rw [fourierBasis.repr.norm_map (partialFourierSumLp 2 N f)]    _ = ‖∑ n  Finset.Icc (-Int.ofNat N) N, fourierCoeff f n • (fourierBasis.repr (@fourierLp T hT 2 h2 n))‖ ^ (2 : ) := by      rw [partialFourierSumLp, map_sum]      simp_rw [LinearMapClass.map_smul]    _ = ∑ n  Finset.Icc (-Int.ofNat N) N, ‖fourierCoeff f n‖ ^ (2 : ) := by      rw [ coe_fourierBasis]      simp_rw [ fourierBasis.repr_symm_single, LinearIsometryEquiv.apply_symm_apply,  lp.single_smul]      have : 2 = (2 : ENNReal).toReal := by simp      rw [this,  lp.norm_sum_single (by simp),  this]      congr 2      refine Finset.sum_congr (by simp) fun n  ?_      simp only [Int.ofNat_eq_natCast, Finset.mem_Icc, smul_eq_mul, mul_one, implies_true]    _ = ∑ n  Finset.Icc (-Int.ofNat N) N, ‖fourierCoeff f n‖ ^ 2 := by      simp_rw [ Real.rpow_natCast]; rfl
Project
Carleson formalization
License
Apache-2.0
Commit
74ef907d6bdb
Source
Carleson/Classical/SpectralProjectionBound.lean:27-46

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Project-declaredLean 4.32.0

Ae tendsto zero of distribution le

ae_tendsto_zero_of_distribution_le

Plain-language statement

Suppose that, for every error threshold δ>0\delta>0 and every measure tolerance ε>0\varepsilon>0, one can choose N0N_0 so that the set where supN>N0f(x)FN(x)\sup_{N>N_0}\lVert f(x)-F_N(x)\rVert exceeds δ\delta has measure at most ε\varepsilon. Then FN(x)F_N(x) converges to f(x)f(x) for almost every xx.

harmonic analysisFourier analysismeasure theory

Source project: Carleson formalization

Person-level attribution pending.

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Project-declaredLean 4.32.0

Antichain operator

antichain_operator

Plain-language statement

For an antichain A\mathfrak{A} of pairwise incomparable tiles, and measurable functions ff and gg bounded by the indicators of FF and GG, the pairing of gg with the Carleson sum over A\mathfrak{A} is controlled by the L2L^2 norms of ff and gg and by positive powers of the two tile-density parameters. Concretely, the bound is

C(a,q)dens1(A)(q1)/(8a4)dens2(A)1/q1/2f2g2.C(a,q)\,\mathrm{dens}_1(\mathfrak{A})^{(q-1)/(8a^4)}\,\mathrm{dens}_2(\mathfrak{A})^{1/q-1/2}\,\lVert f\rVert_2\lVert g\rVert_2.

harmonic analysisFourier analysismeasure theory

Source project: Carleson formalization

Person-level attribution pending.

View proof record