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← Session 22 — ii′-1: liCoeff pairing fix + residue machinery

#1115 assistant 2026-08-22 09:10:41.846 UTC · 1045→2044 tok open ⤢
thinking (6785 chars)
FOUND IT!!! Compare: **h5's LHS** (line 10-20): `@iteratedDerivWithin.{0,0} Complex ... Complex Complex.instNormedAddCommGroup (@NonUnitalCStarAlgebra.toNormedSpace ...)` **The goal** (line 60+): `@iteratedDerivWithin.{0,0} Complex ... Complex (@NormedAddCommGroup.toAddCommGroup...)` — wait — the goal's DifferentiableAt has `Complex (@NormedAddCommGroup.toAddCommGroup Complex Complex.instNormedAddCommGroup)` for the ADD COMM GROUP — while h5's iteratedDerivWithin has `Complex.instNormedAddCommGroup` directly for its normed-add-group argument — DIFFERENT INSTANCE PATHS for the same class! More carefully: h5's iteratedDerivWithin args: `Complex Complex.instNormedAddCommGroup (@NonUnitalCStarAlgebra.toNormedSpace ...)` — i.e., [NormedAddCommGroup ℂ] via `Complex.instNormedAddCommGroup` and [NormedSpace ℂ ℂ] via the C*-algebra path. The goal's iteratedDerivWithin: `... Complex (@NormedAddCommGroup.toAddCommGroup.{0} Complex Complex.instNormedAddCommGroup) (@NormedSpace.toModule.{0,0} ...)` — hmm the goal's DifferentiableAt has different instances because it's the full DifferentiableAt signature — the iteratedDerivWithin inside the goal: line ~72: `(@iteratedDerivWithin.{0,0} Complex (DenselyNormedField...) Complex Complex.instNormedAddCommGroup (@NonUnitalCStarAlgebra.toNormedSpace ...)` — SAME instances as h5's! (`Complex.instNormedAddCommGroup` + NonUnitalCStarAlgebra path) ✓ — so the iteratedDerivWithin applications match?! Hmm — wait — let me diff more carefully. h5's: `@iteratedDerivWithin.{0, 0} Complex (DNF) Complex Complex.instNormedAddCommGroup (CStar-path-NormedSpace) j (fun (s : Complex) => dpsiTermC s n) dpsiDomain r`. Goal's: `@iteratedDerivWithin.{0, 0} Complex (DNF) Complex Complex.instNormedAddCommGroup (CStar-path-NormedSpace) j (fun (z : Complex) => dpsiTermC z n) dpsiDomain` — then `r` is applied at the DifferentiableAt level. Wait — the goal's iteratedDerivWithin has args j, (fun z ...), dpsiDomain — and NO r!! The point r is the DifferentiableAt's separate argument! While h5's iteratedDerivWithin has FOUR args: j, fun, dpsiDomain, r. **iteratedDerivWithin takes (n) (f) (s) (x) — FOUR explicit args.** The goal's iteratedDerivWithin is applied to only THREE (j, the function, dpsiDomain) — the point is separate (DifferentiableAt ... (iteratedDerivWithin j F s) r — with the partial application iteratedDerivWithin j F s as the FUNCTION). And h5's LHS has all four: iteratedDerivWithin j F dpsiDomain r. So the goal has `DifferentiableAt ℂ (iteratedDerivWithin j F dpsiDomain) r` — the function is the PARTIAL application `iteratedDerivWithin j F dpsiDomain` — and h5's LHS is the FULL application `iteratedDerivWithin j F dpsiDomain r`. The rw pattern (full application) doesn't occur in the goal (which has the partial application as a function). THAT's the mismatch — of course! Wait — but hf2's statement from iteratedDerivWithin_tsum: `DifferentiableAt 𝕜 (iteratedDerivWithin k (fun z ↦ f n z) s) r` — yes — DifferentiableAt of the FUNCTION iteratedDerivWithin k ... s at r — partial application ✓. So I need to rewrite at the FUNCTION level: `iteratedDerivWithin j (fun z => dpsiTermC z n) dpsiDomain = fun r => −(−1)^j·...` — a FUNCTION equality. My lemma is pointwise. So: prove the function-level version via funext: ```lean have h5 : iteratedDerivWithin j (fun z : ℂ => dpsiTermC z n) dpsiDomain = fun r => -((-1 : ℂ)) ^ j * (j ! : ℂ) * (r + ↑n + 1) ^ (-(j : ℤ) - 1) := funext fun r => iteratedDerivWithin_dpsiTermC j (by omega) n hr?? ``` wait — the funext gives ∀ r, ... — but the lemma needs r ∈ dpsiDomain — the function equality only holds ON the domain — but the goal only needs it at r ∈ domain — so: rewrite the pointwise value via the function-level view: `DifferentiableAt ℂ F r` with F := iteratedDerivWithin j ... dpsiDomain — and F r = the closed form (the pointwise lemma) — and F =ᶠ[𝓝 r] the-closed-form-function (since they agree on the domain ∋ r open nhd) — then DifferentiableAt_congr... — `DifferentiableAt.congr`? or use `EventuallyEq` of the functions and `differentiableAt_congr`? Hmm — for DifferentiableAt there's no direct "eventuallyEq ⟹ differentiableAt" (differentiability isn't preserved by germs in general — it IS for... no). The right tool: the closed-form function G is differentiable at r; F = G on a nhd of r; then F differentiable at r: `DifferentiableAt.congr_of_eventuallyEq (hg : DifferentiableAt G r) (h : F =ᶠ[𝓝 r] G)?` — hmm — differentiability of G at r + F =ᶠ[𝓝 r] G ⟹ DifferentiableAt F r — needs F r = G r (from the eventuallyEq's self_of_nhds ✓) — the lemma: `DifferentiableAt.congr_of_eventuallyEq (hg : DifferentiableAt f x) (h : g =ᶠ[𝓝 x] f)?`... — there IS `DifferentiableAt.congr_of_eventuallyEq (h : DifferentiableAt f x) (h' : g =ᶠ[𝓝 x] f) : DifferentiableAt g x`? hmm direction... Actually — the clean: `Filter.EventuallyEq.differentiableAt (h : f =ᶠ[𝓝 x] g) (hf : DifferentiableAt f x) : DifferentiableAt g x`? — I believe `EventuallyEq.differentiableAt` exists (or `.differentiableAt_iff`). Let me restructure: ```lean · -- j ≥ 1: the function equals the closed form on the domain (a nhd of r) have h5 : (fun r => iteratedDerivWithin j (fun z : ℂ => dpsiTermC z n) dpsiDomain r) =ᶠ[𝓝 r] fun r => -((-1 : ℂ)) ^ j * (j ! : ℂ) * (r + ↑n + 1) ^ (-(j : ℤ) - 1) := by filter_upwards [dpsiDomain_isOpen.mem_nhds hr] with t ht exact iteratedDerivWithin_dpsiTermC j (by omega) n ht apply h5.differentiableAt -- hmm direction: h5 : F =ᶠ G, need DifferentiableAt F from DifferentiableAt G ... ``` The EventuallyEq.differentiableAt's direction: `Filter.EventuallyEq.differentiableAt (h : f =ᶠ[𝓝 x] g) (hf : DifferentiableAt ℂ f x)? : DifferentiableAt ℂ g x`? — hmm — or `EventuallyEq.differentiableAt_iff`? — Let me think about what exists: there's `EventuallyEq.hasDerivAt`? — `Filter.EventuallyEq.differentiableAt (h : f =ᶠ[𝓝 x] g) : DifferentiableAt 𝕜 f x → DifferentiableAt 𝕜 g x`? hmm — if f = g near x, derivs at x agree (deriv_eq) — and differentiability of f at x is about the limit of (f y − f x)/(y − x) — which for y near x equals (g y − g x)/(y − x) (using f y = g y near x AND f x = g x from self_of_nhds) — so differentiability transfers ✓ — the lemma should exist: maybe `Filter.EventuallyEq.differentiableAt_iff` or two directions. Let me just use: ```lean apply h5.differentiableAt_iff.mp -- if exists ``` hmm. Let me check the name quickly, and also fix h5's eventual form. Actually — simplest robust: prove the function-level equality on the domain and use `DifferentiableOn` congruence: DifferentiableAt F r ⟸ DifferentiableWithinAt F r dpsiDomain + ... — or: DifferentiableAt_congr... Let me just check what's available: `Filter.EventuallyEq.differentiableAt`?
The goal has the *partial* application as a function — I need the function-level eventuallyEq + a differentiability-transfer lemma. Checking its name.
tool: Bash ok
input
{
  "command": "cd \"D:/Python/Quantum/zeta-23-lean/.lake/packages/mathlib\" && grep -rn \"EventuallyEq.differentiableAt\\|differentiableAt_congr\\|EventuallyEq.differentiableWithinAt\" Mathlib/Analysis/Calculus/ -r --include=\"*.lean\" | grep \"theorem\\|lemma\" | head -6",
  "description": "Find the differentiability transfer lemma"
}
result 2026-08-22 09:10:42Z → 2026-08-22 09:10:42Z
Mathlib/Analysis/Calculus/FDeriv/Congr.lean:138:theorem Filter.EventuallyEq.differentiableAt_iff (h : f₀ =ᶠ[𝓝 x] f₁) :
Mathlib/Analysis/Calculus/FDeriv/Congr.lean:150:theorem Filter.EventuallyEq.differentiableWithinAt_iff (h : f₀ =ᶠ[𝓝[s] x] f₁) (hx : f₀ x = f₁ x) :
Mathlib/Analysis/Calculus/FDeriv/Congr.lean:154:theorem Filter.EventuallyEq.differentiableWithinAt_iff_of_mem (h : f₀ =ᶠ[𝓝[s] x] f₁) (hx : x ∈ s) :
raw content_json (database row)
[{"type":"thinking","thinking":"FOUND IT!!! Compare:\n\n**h5's LHS** (line 10-20): `@iteratedDerivWithin.{0,0} Complex ... Complex Complex.instNormedAddCommGroup (@NonUnitalCStarAlgebra.toNormedSpace ...)` \n\n**The goal** (line 60+): `@iteratedDerivWithin.{0,0} Complex ... Complex (@NormedAddCommGroup.toAddCommGroup...)` — wait — the goal's DifferentiableAt has `Complex (@NormedAddCommGroup.toAddCommGroup Complex Complex.instNormedAddCommGroup)` for the ADD COMM GROUP — while h5's iteratedDerivWithin has `Complex.instNormedAddCommGroup` directly for its normed-add-group argument — DIFFERENT INSTANCE PATHS for the same class!\n\nMore carefully: h5's iteratedDerivWithin args: `Complex Complex.instNormedAddCommGroup (@NonUnitalCStarAlgebra.toNormedSpace ...)` — i.e., [NormedAddCommGroup ℂ] via `Complex.instNormedAddCommGroup` and [NormedSpace ℂ ℂ] via the C*-algebra path.\n\nThe goal's iteratedDerivWithin: `... Complex (@NormedAddCommGroup.toAddCommGroup.{0} Complex Complex.instNormedAddCommGroup) (@NormedSpace.toModule.{0,0} ...)` — hmm the goal's DifferentiableAt has different instances because it's the full DifferentiableAt signature — the iteratedDerivWithin inside the goal: line ~72: `(@iteratedDerivWithin.{0,0} Complex (DenselyNormedField...) Complex Complex.instNormedAddCommGroup (@NonUnitalCStarAlgebra.toNormedSpace ...)` — SAME instances as h5's! (`Complex.instNormedAddCommGroup` + NonUnitalCStarAlgebra path) ✓ — so the iteratedDerivWithin applications match?!\n\nHmm — wait — let me diff more carefully. h5's: `@iteratedDerivWithin.{0, 0} Complex (DNF) Complex Complex.instNormedAddCommGroup (CStar-path-NormedSpace) j (fun (s : Complex) => dpsiTermC s n) dpsiDomain r`.\n\nGoal's: `@iteratedDerivWithin.{0, 0} Complex (DNF) Complex Complex.instNormedAddCommGroup (CStar-path-NormedSpace) j (fun (z : Complex) => dpsiTermC z n) dpsiDomain` — then `r` is applied at the DifferentiableAt level. Wait — the goal's iteratedDerivWithin has args j, (fun z ...), dpsiDomain — and NO r!! The point r is the DifferentiableAt's separate argument! While h5's iteratedDerivWithin has FOUR args: j, fun, dpsiDomain, r. \n\n**iteratedDerivWithin takes (n) (f) (s) (x) — FOUR explicit args.** The goal's iteratedDerivWithin is applied to only THREE (j, the function, dpsiDomain) — the point is separate (DifferentiableAt ... (iteratedDerivWithin j F s) r — with the partial application iteratedDerivWithin j F s as the FUNCTION). And h5's LHS has all four: iteratedDerivWithin j F dpsiDomain r.\n\nSo the goal has `DifferentiableAt ℂ (iteratedDerivWithin j F dpsiDomain) r` — the function is the PARTIAL application `iteratedDerivWithin j F dpsiDomain` — and h5's LHS is the FULL application `iteratedDerivWithin j F dpsiDomain r`. The rw pattern (full application) doesn't occur in the goal (which has the partial application as a function). THAT's the mismatch — of course!\n\nWait — but hf2's statement from iteratedDerivWithin_tsum: `DifferentiableAt 𝕜 (iteratedDerivWithin k (fun z ↦ f n z) s) r` — yes — DifferentiableAt of the FUNCTION iteratedDerivWithin k ... s at r — partial application ✓. So I need to rewrite at the FUNCTION level: `iteratedDerivWithin j (fun z => dpsiTermC z n) dpsiDomain = fun r => −(−1)^j·...` — a FUNCTION equality. My lemma is pointwise. So: prove the function-level version via funext:\n```lean\n      have h5 : iteratedDerivWithin j (fun z : ℂ => dpsiTermC z n) dpsiDomain =\n          fun r => -((-1 : ℂ)) ^ j * (j ! : ℂ) * (r + ↑n + 1) ^ (-(j : ℤ) - 1) :=\n        funext fun r => iteratedDerivWithin_dpsiTermC j (by omega) n hr?? \n```\nwait — the funext gives ∀ r, ... — but the lemma needs r ∈ dpsiDomain — the function equality only holds ON the domain — but the goal only needs it at r ∈ domain — so: rewrite the pointwise value via the function-level view: `DifferentiableAt ℂ F r` with F := iteratedDerivWithin j ... dpsiDomain — and F r = the closed form (the pointwise lemma) — and F =ᶠ[𝓝 r] the-closed-form-function (since they agree on the domain ∋ r open nhd) — then DifferentiableAt_congr... — `DifferentiableAt.congr`? or use `EventuallyEq` of the functions and `differentiableAt_congr`? Hmm — for DifferentiableAt there's no direct \"eventuallyEq ⟹ differentiableAt\" (differentiability isn't preserved by germs in general — it IS for... no). The right tool: the closed-form function G is differentiable at r; F = G on a nhd of r; then F differentiable at r: `DifferentiableAt.congr_of_eventuallyEq (hg : DifferentiableAt G r) (h : F =ᶠ[𝓝 r] G)?` — hmm — differentiability of G at r + F =ᶠ[𝓝 r] G ⟹ DifferentiableAt F r — needs F r = G r (from the eventuallyEq's self_of_nhds ✓) — the lemma: `DifferentiableAt.congr_of_eventuallyEq (hg : DifferentiableAt f x) (h : g =ᶠ[𝓝 x] f)?`... — there IS `DifferentiableAt.congr_of_eventuallyEq (h : DifferentiableAt f x) (h' : g =ᶠ[𝓝 x] f) : DifferentiableAt g x`? hmm direction... Actually — the clean: `Filter.EventuallyEq.differentiableAt (h : f =ᶠ[𝓝 x] g) (hf : DifferentiableAt f x) : DifferentiableAt g x`? — I believe `EventuallyEq.differentiableAt` exists (or `.differentiableAt_iff`). Let me restructure:\n\n```lean\n    · -- j ≥ 1: the function equals the closed form on the domain (a nhd of r)\n      have h5 : (fun r => iteratedDerivWithin j (fun z : ℂ => dpsiTermC z n) dpsiDomain r) =ᶠ[𝓝 r]\n          fun r => -((-1 : ℂ)) ^ j * (j ! : ℂ) * (r + ↑n + 1) ^ (-(j : ℤ) - 1) := by\n        filter_upwards [dpsiDomain_isOpen.mem_nhds hr] with t ht\n        exact iteratedDerivWithin_dpsiTermC j (by omega) n ht\n      apply h5.differentiableAt  -- hmm direction: h5 : F =ᶠ G, need DifferentiableAt F from DifferentiableAt G\n      ...\n```\nThe EventuallyEq.differentiableAt's direction: `Filter.EventuallyEq.differentiableAt (h : f =ᶠ[𝓝 x] g) (hf : DifferentiableAt ℂ f x)? : DifferentiableAt ℂ g x`? — hmm — or `EventuallyEq.differentiableAt_iff`? — Let me think about what exists: there's `EventuallyEq.hasDerivAt`? — `Filter.EventuallyEq.differentiableAt (h : f =ᶠ[𝓝 x] g) : DifferentiableAt 𝕜 f x → DifferentiableAt 𝕜 g x`? hmm — if f = g near x, derivs at x agree (deriv_eq) — and differentiability of f at x is about the limit of (f y − f x)/(y − x) — which for y near x equals (g y − g x)/(y − x) (using f y = g y near x AND f x = g x from self_of_nhds) — so differentiability transfers ✓ — the lemma should exist: maybe `Filter.EventuallyEq.differentiableAt_iff` or two directions. Let me just use:\n```lean\n      apply h5.differentiableAt_iff.mp  -- if exists\n```\nhmm. Let me check the name quickly, and also fix h5's eventual form. Actually — simplest robust: prove the function-level equality on the domain and use `DifferentiableOn` congruence: DifferentiableAt F r ⟸ DifferentiableWithinAt F r dpsiDomain + ... — or: DifferentiableAt_congr... \n\nLet me just check what's available: `Filter.EventuallyEq.differentiableAt`?","signature":""},{"type":"text","text":"The goal has the *partial* application as a function — I need the function-level eventuallyEq + a differentiability-transfer lemma. Checking its name."},{"type":"tool_use","id":"Bash_451","name":"Bash","input":{"command":"cd \"D:/Python/Quantum/zeta-23-lean/.lake/packages/mathlib\" && grep -rn \"EventuallyEq.differentiableAt\\|differentiableAt_congr\\|EventuallyEq.differentiableWithinAt\" Mathlib/Analysis/Calculus/ -r --include=\"*.lean\" | grep \"theorem\\|lemma\" | head -6","description":"Find the differentiability transfer lemma"},"extra_content":null}]