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← Session 21 — Tier ii′ planning + launch: close SfBoundProp in Lean (D-064)

#955 assistant 2026-08-21 21:30:47.371 UTC · 1154→1303 tok open ⤢
thinking (3616 chars)
Issues: 1. The `e` rewrite failing: the target has `(f + g) (↑x + ↑y * I)` with CASTS (↑x, ↑y) while e has `(f + g) (x + y * I)` without visible casts — the HIntegral def uses `x + y * I` where x : ℝ coerced — displayed as ↑x + ↑y * I. My e's lambda: `fun x => (f + g) (x + y * I)` — same coercion — but the display shows the e was created fine; the rw [e, ...] failed because... e : (fun x => (f + g) (x + ↑y * I)) = fun x => f (↑x + ↑y * I) + g (↑x + ↑y * I) — and the target: `∫ (x : ℝ) in x₁..x₂, (f + g) (↑x + ↑y * I) = ...` — rw [e] should rewrite the integrand... The error says pattern `fun x => (f + g) (x + ↑y * I)` not found — the target integrand is `(f + g) (↑x + ↑y * I)` — e's LHS is `(f + g) (x + ↑y * I)` — the DIFFERENCE: `↑x + ↑y * I` vs `x + ↑y * I` — the coercion on x! In e I wrote `(x + y * I)` where x : ℝ — the coercion is implicit: displayed as `(x + ↑y * I)` with x UNCAST?? The error display: pattern `fun x => (f + g) (x + ↑y * I)` — x without ↑. And target has `↑x + ↑y * I`. So in my e the `x + y * I` elaborated with x : ℂ somehow? No — x : ℝ (the lambda domain from HIntegral's integrand `fun x => f (x + y * I)` with x : ℝ). The coercion of x into ℂ: `↑x + ↑y * I`. But e's display shows `(x + ↑y * I)` — no ↑ on x — meaning in e's elaboration, x was treated as ℂ?? Then e's type: (fun x : ℂ => ...) — mismatch with target's (fun x : ℝ => ...). That's why rw fails: e is about ℂ-typed x! Fix: annotate e's lambda domain: `(fun x : ℝ => ...)`: ``` have e : (fun x : ℝ => (f + g) (x + y * I)) = (fun x : ℝ => f (x + y * I) + g (x + y * I)) := by funext x simp [Pi.add_apply] ``` Hmm — but with x : ℝ, `(f + g) (x + y * I)` requires x + y*I : ℂ — coercion ↑x inserted automatically ✓. Actually simpler: skip e entirely — the integrand (f+g)(x+yI) = f(x+yI)+g(x+yI) by Pi.add_apply definitionally: `intervalIntegral.integral_add hf hg` expects the integrand in the form f+g pointwise: the lemma: `intervalIntegral.integral_add (hf : IntervalIntegrable f ...) (hg : IntervalIntegrable g ...) : ∫ (f x + g x) = ∫ f + ∫ g`. The target integrand is `fun x => (f+g)(x+yI)` — I need to massage to `fun x => f (x+yI) + g (x+yI)`. Since Pi.add_apply is defeq, use `show` or `simp only [Pi.add_apply]`: ``` rw [HIntegral, HIntegral, HIntegral] simp only [Pi.add_apply] exact intervalIntegral.integral_add hf hg ``` `Pi.add_apply : (f + g) x = f x + g x` — simp only rewrites the integrand occurrence ✓ (simp works up to matching under binders ✓). 2. hf1 type: RectangleBorderIntegrable's components are `IntegrableOn (fun x => f (↑x + ↑z.im * I)) (Set.Ioc z.re w.re) volume` — IntegrableOn over Ioc, not IntervalIntegrable! Check the vendored RectangleBorderIntegrable def: from the earlier agent grep: `def RectangleBorderIntegrable (f : ℂ → E) (z w : ℂ) : Prop :=` — its fields are IntegrableOn forms. IntervalIntegrable f volume a b is `IntegrableOn f (Ioc a b) volume`-equivalent: `IntervalIntegrable` is DEFINED as IntegrableOn (uIoc a b)? IntervalIntegrable f μ a b := IntegrableOn f (Ioc a b) μ ∧ IntegrableOn f (Ioc b a) μ — actually `IntervalIntegrable f μ a b : Prop := IntegrableOn f (uIoc a b) μ` — and uIoc a b = Ioc (min a b) (max a b). So hf1 : IntegrableOn (fun x => f (↑x+↑z.im*I)) (Set.Ioc z.re w.re) volume — if z.re ≤ w.re, uIoc = Ioc ✓ convertible via `IntervalIntegrable` def — need z.re ≤ w.re hypothesis OR use the IntegrableOn directly: intervalIntegral.integral_add works with IntervalIntegrable args. The vendored rectangle integral theorems all carry `zRe_le_wRe` hypotheses — I should too. Let me check the exact def of RectangleBorderIntegrable.
Let me check the `RectangleBorderIntegrable` definition to align the integrability forms.
tool: Bash
input
{
  "command": "grep -n \"def RectangleBorderIntegrable\" -A 8 /d/Python/Quantum/zeta-23-lean/Zeta23/FromPNTPlus/ResidueCalcOnRectangles.lean | head -12",
  "description": "Read RectangleBorderIntegrable definition"
}
raw content_json (database row)
[{"type":"thinking","thinking":"Issues:\n\n1. The `e` rewrite failing: the target has `(f + g) (↑x + ↑y * I)` with CASTS (↑x, ↑y) while e has `(f + g) (x + y * I)` without visible casts — the HIntegral def uses `x + y * I` where x : ℝ coerced — displayed as ↑x + ↑y * I. My e's lambda: `fun x => (f + g) (x + y * I)` — same coercion — but the display shows the e was created fine; the rw [e, ...] failed because... e : (fun x => (f + g) (x + ↑y * I)) = fun x => f (↑x + ↑y * I) + g (↑x + ↑y * I) — and the target: `∫ (x : ℝ) in x₁..x₂, (f + g) (↑x + ↑y * I) = ...` — rw [e] should rewrite the integrand... The error says pattern `fun x => (f + g) (x + ↑y * I)` not found — the target integrand is `(f + g) (↑x + ↑y * I)` — e's LHS is `(f + g) (x + ↑y * I)` — the DIFFERENCE: `↑x + ↑y * I` vs `x + ↑y * I` — the coercion on x! In e I wrote `(x + y * I)` where x : ℝ — the coercion is implicit: displayed as `(x + ↑y * I)` with x UNCAST?? The error display: pattern `fun x => (f + g) (x + ↑y * I)` — x without ↑. And target has `↑x + ↑y * I`. So in my e the `x + y * I` elaborated with x : ℂ somehow? No — x : ℝ (the lambda domain from HIntegral's integrand `fun x => f (x + y * I)` with x : ℝ). The coercion of x into ℂ: `↑x + ↑y * I`. But e's display shows `(x + ↑y * I)` — no ↑ on x — meaning in e's elaboration, x was treated as ℂ?? Then e's type: (fun x : ℂ => ...) — mismatch with target's (fun x : ℝ => ...). That's why rw fails: e is about ℂ-typed x!\n\nFix: annotate e's lambda domain: `(fun x : ℝ => ...)`:\n```\n  have e : (fun x : ℝ => (f + g) (x + y * I)) = (fun x : ℝ => f (x + y * I) + g (x + y * I)) := by\n    funext x\n    simp [Pi.add_apply]\n```\nHmm — but with x : ℝ, `(f + g) (x + y * I)` requires x + y*I : ℂ — coercion ↑x inserted automatically ✓.\n\nActually simpler: skip e entirely — the integrand (f+g)(x+yI) = f(x+yI)+g(x+yI) by Pi.add_apply definitionally: `intervalIntegral.integral_add hf hg` expects the integrand in the form f+g pointwise: the lemma: `intervalIntegral.integral_add (hf : IntervalIntegrable f ...) (hg : IntervalIntegrable g ...) : ∫ (f x + g x) = ∫ f + ∫ g`. The target integrand is `fun x => (f+g)(x+yI)` — I need to massage to `fun x => f (x+yI) + g (x+yI)`. Since Pi.add_apply is defeq, use `show` or `simp only [Pi.add_apply]`:\n```\n  rw [HIntegral, HIntegral, HIntegral]\n  simp only [Pi.add_apply]\n  exact intervalIntegral.integral_add hf hg\n```\n`Pi.add_apply : (f + g) x = f x + g x` — simp only rewrites the integrand occurrence ✓ (simp works up to matching under binders ✓).\n\n2. hf1 type: RectangleBorderIntegrable's components are `IntegrableOn (fun x => f (↑x + ↑z.im * I)) (Set.Ioc z.re w.re) volume` — IntegrableOn over Ioc, not IntervalIntegrable! Check the vendored RectangleBorderIntegrable def: from the earlier agent grep: `def RectangleBorderIntegrable (f : ℂ → E) (z w : ℂ) : Prop :=` — its fields are IntegrableOn forms. IntervalIntegrable f volume a b is `IntegrableOn f (Ioc a b) volume`-equivalent: `IntervalIntegrable` is DEFINED as IntegrableOn (uIoc a b)? IntervalIntegrable f μ a b := IntegrableOn f (Ioc a b) μ ∧ IntegrableOn f (Ioc b a) μ — actually `IntervalIntegrable f μ a b : Prop := IntegrableOn f (uIoc a b) μ` — and uIoc a b = Ioc (min a b) (max a b). So hf1 : IntegrableOn (fun x => f (↑x+↑z.im*I)) (Set.Ioc z.re w.re) volume — if z.re ≤ w.re, uIoc = Ioc ✓ convertible via `IntervalIntegrable` def — need z.re ≤ w.re hypothesis OR use the IntegrableOn directly: intervalIntegral.integral_add works with IntervalIntegrable args. The vendored rectangle integral theorems all carry `zRe_le_wRe` hypotheses — I should too. Let me check the exact def of RectangleBorderIntegrable.","signature":""},{"type":"text","text":"Let me check the `RectangleBorderIntegrable` definition to align the integrability forms."},{"type":"tool_use","id":"Bash_225","name":"Bash","input":{"command":"grep -n \"def RectangleBorderIntegrable\" -A 8 /d/Python/Quantum/zeta-23-lean/Zeta23/FromPNTPlus/ResidueCalcOnRectangles.lean | head -12","description":"Read RectangleBorderIntegrable definition"},"extra_content":null}]