openAI-math-dataset / lean /OAI /MathematicalPhysics /DefocusingNLS /Nonlinear /CutoffProfilePhysicalLimit.lean
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import OAI.MathematicalPhysics.DefocusingNLS.Nonlinear.CutoffMovingPath
import OAI.MathematicalPhysics.DefocusingNLS.Linear.SchwartzPhysicalSampling
import OAI.MathematicalPhysics.DefocusingNLS.Linear.ExpandingSmoothFilter
namespace OAI
/-! # The sampled cutoff coefficient agrees locally with the whole-space profile -/
open Set Filter Topology
open scoped SchwartzMap ContDiff
namespace DefocusingNLS
local notation "E" => EuclideanSpace ℝ (Fin 12)
theorem sampledCutoffProfile_physical_eq (a k L : ℝ)
(ha : 0 < a) (ha1 : a < 1) (hk : 8 < k) (hL : 1 ≤ L)
(χ : 𝓢(E, ℂ)) (hχ : HasCompactSupport (χ : E → ℂ))
(hχzero : ∀ y : E, 1 ≤ ‖y‖ → χ y = 0)
(hχone : ∀ y : E, ‖y‖ ≤ 1 / 2 → χ y = 1)
(Q : E → ℂ) (hQ : ContDiff ℝ ∞ Q) (y : E) (hy : 2 * ‖y‖ ≤ L) :
expandingPhysicalContinuous a k L ha ha1 hk hL
(schwartzTorusSample a k L ha1 hk hL (radianFourierKernel
(cutoffProfileSchwartz L (by linarith) χ hχ Q hQ))) y = Q y := by
have hpos : 0 < L := by linarith
rw [expandingPhysicalContinuous_apply,
schwartzTorusSample_eq_on_ball a k L ha ha1 hk hL]
· rw [cutoffProfileSchwartz_apply, hχone, one_mul]
rw [norm_smul, Real.norm_eq_abs, abs_of_pos (inv_pos.mpr hpos)]
apply (inv_mul_le_iff₀ hpos).mpr
linarith
· intro x hx
rw [cutoffProfileSchwartz_apply, hχzero, zero_mul]
rw [norm_smul, Real.norm_eq_abs, abs_of_pos (inv_pos.mpr hpos)]
apply (le_inv_mul_iff₀ hpos).mpr
linarith
· linarith [norm_nonneg y]
theorem tendsto_sampledCutoffProfile_physical (a k : ℝ)
(ha : 0 < a) (ha1 : a < 1) (hk : 8 < k)
(χ : 𝓢(E, ℂ)) (hχ : HasCompactSupport (χ : E → ℂ))
(hχzero : ∀ y : E, 1 ≤ ‖y‖ → χ y = 0)
(hχone : ∀ y : E, ‖y‖ ≤ 1 / 2 → χ y = 1)
(Q : E → ℂ) (hQ : ContDiff ℝ ∞ Q)
(L : ℕ → ℝ) (hL : ∀ n, 1 ≤ L n) (hLinf : Tendsto L atTop atTop) (y : E) :
Tendsto (fun n => expandingPhysicalContinuous a k (L n) ha ha1 hk (hL n)
(schwartzTorusSample a k (L n) ha1 hk (hL n) (radianFourierKernel
(cutoffProfileSchwartz (L n) (by linarith [hL n]) χ hχ Q hQ))) y)
atTop (𝓝 (Q y)) := by
apply tendsto_const_nhds.congr'
filter_upwards [hLinf.eventually (eventually_ge_atTop (2 * ‖y‖))] with n hn
exact (sampledCutoffProfile_physical_eq a k (L n) ha ha1 hk (hL n)
χ hχ hχzero hχone Q hQ y hn).symm
theorem tendsto_sampledCutoffProfilePath_physical (a k T : ℝ)
(ha : 0 < a) (ha1 : a < 1) (hk : 8 < k)
(χ : 𝓢(E, ℂ)) (hχ : HasCompactSupport (χ : E → ℂ))
(hχzero : ∀ y : E, 1 ≤ ‖y‖ → χ y = 0)
(hχone : ∀ y : E, ‖y‖ ≤ 1 / 2 → χ y = 1)
(Q : E → ℂ) (hQ : ContDiff ℝ ∞ Q)
(L : ℕ → ℝ) (hL : ∀ n, 1 ≤ L n) (hLinf : Tendsto L atTop atTop)
(s : Icc (0 : ℝ) T) (y : E) :
Tendsto (fun n => expandingPhysicalContinuous a k (expandingRadius (L n) s)
ha ha1 hk ((hL n).trans (expandingRadius_ge (L n) s (hL n) s.2.1))
(sampledCutoffProfilePath a k (L n) T ha ha1 hk (hL n) χ hχ Q hQ s) y)
atTop (𝓝 (Q y)) := by
exact tendsto_sampledCutoffProfile_physical a k ha ha1 hk χ hχ hχzero hχone Q hQ
(fun n => expandingRadius (L n) s)
(fun n => (hL n).trans (expandingRadius_ge (L n) s (hL n) s.2.1))
(hLinf.atTop_mul_const (Real.exp_pos _)) y
end DefocusingNLS
end OAI