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← Session 17 — Lean tier (i): elementary proofs (after crash)

#654 assistant 2026-08-20 05:09:51.833 UTC · 681→2667 tok open ⤢
thinking (5264 chars)
Several fixes: 1. deriv2_of_hasDerivAt_nhds: the congr direction — `hx.deriv.symm` gives D1 x = deriv φ x, but congr_of_eventuallyEq expects f =ᶠ g where the PROVED HasDerivAt is for f = D1: h2.congr_of_eventuallyEq (h : D1 =ᶠ deriv φ) — so the filter_upwards should produce D1 x = deriv φ x — that IS hx.deriv.symm. The error says expected `deriv φ x = D1 x` — so congr_of_eventuallyEq's equality arg is `g =ᶠ f`? Signature check: `HasDerivAt.congr_of_eventuallyEq (h : HasDerivAt f f' x) (h₁ : f =ᶠ[𝓝 x] g) : HasDerivAt g f' x` — hmm the error indicates expected deriv φ = D1: so it wants g =ᶠ f?? Let me check actual signature in Mathlib: `theorem HasDerivAt.congr_of_eventuallyEq (h : HasDerivAt f f' x) (h₁ : f =ᶠ[𝓝 x] g) : HasDerivAt g f' x`. If that's right, f = D1, g = deriv φ, needs D1 =ᶠ deriv φ — hx.deriv.symm ✓ — but error says expected deriv φ x = D1 x... meaning congr_of_eventuallyEq's h₁ is actually `g =ᶠ[𝓝 x] f`?? Then h1 : deriv φ =ᶠ D1 i.e. hx.deriv directly. Just drop the .symm. (There's also Filter.EventuallyEq.hasDerivAt : f =ᶠ g → HasDerivAt f → HasDerivAt g with the eq FIRST — different arg order.) I'll try without .symm. 2. eventually_of_forall unknown — it's `Filter.eventually_of_forall` (we don't open Filter? The file has `open Zeta23 Complex Filter Topology` — Filter IS opened... but `eventually_of_forall` still unknown? In recent Mathlib it's `Filter.eventually_of_forall` — with open Filter it should resolve... "Unknown identifier" — maybe renamed to `Eventually.of_forall`? or `Filter.Eventually.of_forall`? Use `Filter.Eventually.of_forall`? Hmm — safer: `eventually_of_forall` exists in Lean core? In Lean4 core: `Filter.eventually_of_forall` ✓ I thought. Since open Filter didn't help, use full path `Filter.eventually_of_forall`. If still unknown, `by intro x; exact ...`? eventually_of_forall : (∀ x, p x) → ∀ᶠ x in f, p x. Alternatively `(univ_mem' fun _ => deriv_id'' _)`... let me just use Filter.eventually_of_forall. 3. deriv_id'' : it's `(deriv fun x => x) = fun x => 1` — a function equation, not pointwise! So deriv_id'' T fails. Pointwise: `deriv_id''` hmm the printed type: `(deriv fun x => x) = fun x => 1` — that IS deriv_id' probably (no arguments). Pointwise version: `deriv_id''` shows as function eq... The error at 464:30: "Function expected at deriv_id'' but this term has type (deriv fun x => x) = fun x => 1" — so `deriv_id''` without argument is the function equality. Use `deriv_id''` differently: pointwise lemma is `deriv_id''`? Confusing. Use: `deriv (id : ℝ → ℝ) T = 1` via `deriv_id''`?? Let me just use `by simp` for these: deriv id T = 1: `deriv_id''`... In Mathlib: `theorem deriv_id' : deriv id = fun x => 1` and `theorem deriv_id'' (x) : deriv id x = 1`? The print shows deriv_id'' IS the function version?? "this term has type (deriv fun x => x) = fun x => 1" — hmm that's from applying deriv_id'' to T? No — "Function expected at deriv_id''" means deriv_id'' is not a function taking T — its type is the equation. So in THIS Mathlib, deriv_id'' is the function-equality (or deriv_id' renamed). Pointwise alternative: `(hasDerivAt_id' T).deriv : deriv id T = 1` ✓ robust. And for the eventuallyEq: fun _ => (hasDerivAt_id' _).deriv. Also the he.deriv : `EventuallyEq.deriv he : deriv (deriv id) =ᶠ[𝓝 T] deriv (fun _ => 1)` — it's an EventuallyEq, not Eq — can't rw with it directly. Need: `Filter.EventuallyEq.deriv : f =ᶠ[𝓝 x] g → deriv f x = deriv g x`? The print shows it gave an =ᶠ — so in this Mathlib, EventuallyEq.deriv gives the eventuallyEq of derivs (there must be a pointwise one: `EventuallyEq.deriv_eq`? or `Filter.EventuallyEq.deriv : f =ᶠ[𝓝 x] g → deriv f x = deriv g x`... the error print: "EventuallyEq.deriv he is a proof of deriv (deriv id) =ᶠ[𝓝 T] deriv fun x => 1" — so .deriv gives =ᶠ. Pointwise: use `Filter.EventuallyEq.deriv`... there's `EventuallyEq.deriv_eq`? For our purpose: h1 : deriv (deriv id) T = 0: prove: deriv (deriv id) T = deriv (fun _ => 1) T = 0: first step via EventuallyEq pointwise: he.deriv? Let me look for `EventuallyEq.deriv_eq`... I recall `Filter.EventuallyEq.deriv` might BE pointwise in some versions. Given ambiguity: sidestep with deriv2_of_hasDerivAt_nhds! id: h1 : ∀ᶠ x, HasDerivAt id 1 x (eventually_of_forall fun x => hasDerivAt_id' x); h2 : HasDerivAt (fun _ => 1) 0 T := hasDerivAt_const T 1. Then deriv2 = 0 ✓ and deriv id T = 1 from h1.self_of_nhds.deriv ✓. Cleaner and uses the machinery. 4. `unfold psiOf; rw [h1, h2]` left goal `0 − 1/(T−1) = −1/(T−1)` — needs `ring` or `sub_zero`/`neg_eq...`: just `ring` after rw — rw doesn't close non-rfl goals. End with ring. 5. neg_neg_of_pos : −a < 0? neg_neg_of_pos : 0 < a → −a < 0 ✓ exists? The error: "has type −(1/(T−1)) < 0 but expected ..." — expected `0 − 1/(T−1) < 0`?? Because psiOf id T unfolds to 0 − 1/(T−1) and my target after rw [h1, h2] is `0 − 1/(T−1) < 0` — need to simplify 0 − x: add `zero_sub` rw or `simpa`. Use: rw [h1, h2, zero_sub]; exact neg_neg_of_pos (one_div_pos.mpr h3). And check neg_neg_of_pos exists — if not: `neg_neg_of_pos` might be `neg_neg_of_pos : 0 < a → -a < 0` ✓ I think it exists. Fallback: by positivity? no. linarith [one_div_pos.mpr h3] works too: goal 0 − 1/(T−1) < 0 with h : 0 < 1/(T−1): linarith ✓. Use linarith. Fix all.
Fixing batch 1 errors: use the `deriv2_of_hasDerivAt_nhds` machinery for `id` too, fix congr direction, and closing steps.
tool: Edit
input
{
  "file_path": "D:\\Python\\Quantum\\research\\lean\\NguyenRH1\\NguyenRH1\\LiSkeleton.lean",
  "old_string": "/-- Second-derivative computation package: if \u03c6 has derivative D1 on a\nneighborhood of T and D1 has derivative D2 at T, then \u03c6\u2033(T) = D2. -/\ntheorem deriv2_of_hasDerivAt_nhds {\u03c6 D1 : \u211d \u2192 \u211d} {T D2 : \u211d}\n    (h1 : \u2200\u1da0 x in \ud835\udcdd T, HasDerivAt \u03c6 (D1 x) x) (h2 : HasDerivAt D1 D2 T) :\n    deriv (deriv \u03c6) T = D2 :=\n  (h2.congr_of_eventuallyEq (by\n    filter_upwards [h1] with x hx using hx.deriv.symm)).deriv\n\n/-- The \u03c8-functional of D-057: \u03c8[\u03c6](T) = \u03c6\u2033(T) \u2212 \u03c6\u2032(T)/(T\u22121). -/\ndef psiOf (\u03c6 : \u211d \u2192 \u211d) (T : \u211d) : \u211d := deriv (deriv \u03c6) T - deriv \u03c6 T / (T - 1)\n\n/-- [PROVED session 011] Block #2 (identity): \u03c8[id](T) = \u22121/(T\u22121) < 0. -/\ntheorem psiOf_id (T : \u211d) (hT : 1 < T) : psiOf id T = -1 / (T - 1) \u2227 psiOf id T < 0 := by\n  have h1 : deriv (deriv id) T = 0 := by\n    have he : deriv id =\u1da0[\ud835\udcdd T] fun _ => (1 : \u211d) :=\n      eventually_of_forall fun _ => deriv_id'' _\n    rw [he.deriv, deriv_const]\n  have h2 : deriv id T = 1 := deriv_id'' T\n  have h3 : (0 : \u211d) < T - 1 := by linarith\n  constructor\n  \u00b7 unfold psiOf; rw [h1, h2]\n  \u00b7 unfold psiOf; rw [h1, h2]; exact neg_neg_of_pos (one_div_pos.mpr h3)",
  "new_string": "/-- Second-derivative computation package: if \u03c6 has derivative D1 on a\nneighborhood of T and D1 has derivative D2 at T, then \u03c6\u2033(T) = D2. -/\ntheorem deriv2_of_hasDerivAt_nhds {\u03c6 D1 : \u211d \u2192 \u211d} {T D2 : \u211d}\n    (h1 : \u2200\u1da0 x in \ud835\udcdd T, HasDerivAt \u03c6 (D1 x) x) (h2 : HasDerivAt D1 D2 T) :\n    deriv (deriv \u03c6) T = D2 :=\n  (h2.congr_of_eventuallyEq (by\n    filter_upwards [h1] with x hx using hx.deriv)).deriv\n\n/-- The \u03c8-functional of D-057: \u03c8[\u03c6](T) = \u03c6\u2033(T) \u2212 \u03c6\u2032(T)/(T\u22121). -/\ndef psiOf (\u03c6 : \u211d \u2192 \u211d) (T : \u211d) : \u211d := deriv (deriv \u03c6) T - deriv \u03c6 T / (T - 1)\n\n/-- [PROVED session 011] Block #2 (identity): \u03c8[id](T) = \u22121/(T\u22121) < 0. -/\ntheorem psiOf_id (T : \u211d) (hT : 1 < T) : psiOf id T = -1 / (T - 1) \u2227 psiOf id T < 0 := by\n  have h1 : \u2200\u1da0 x in \ud835\udcdd T, HasDerivAt id 1 x :=\n    Filter.eventually_of_forall fun x => hasDerivAt_id' x\n  have hd2 : deriv (deriv id) T = 0 :=\n    deriv2_of_hasDerivAt_nhds h1 (hasDerivAt_const T 1)\n  have hd1 : deriv id T = 1 := h1.self_of_nhds.deriv\n  have h3 : (0 : \u211d) < T - 1 := by linarith\n  refine \u27e8?_, ?_\u27e9\n  \u00b7 unfold psiOf; rw [hd2, hd1]; ring\n  \u00b7 unfold psiOf; rw [hd2, hd1]; linarith [one_div_pos.mpr h3]"
}
raw content_json (database row)
[{"type":"thinking","thinking":"Several fixes:\n\n1. deriv2_of_hasDerivAt_nhds: the congr direction — `hx.deriv.symm` gives D1 x = deriv φ x, but congr_of_eventuallyEq expects f =ᶠ g where the PROVED HasDerivAt is for f = D1: h2.congr_of_eventuallyEq (h : D1 =ᶠ deriv φ) — so the filter_upwards should produce D1 x = deriv φ x — that IS hx.deriv.symm. The error says expected `deriv φ x = D1 x` — so congr_of_eventuallyEq's equality arg is `g =ᶠ f`? Signature check: `HasDerivAt.congr_of_eventuallyEq (h : HasDerivAt f f' x) (h₁ : f =ᶠ[𝓝 x] g) : HasDerivAt g f' x` — hmm the error indicates expected deriv φ = D1: so it wants g =ᶠ f?? Let me check actual signature in Mathlib: `theorem HasDerivAt.congr_of_eventuallyEq (h : HasDerivAt f f' x) (h₁ : f =ᶠ[𝓝 x] g) : HasDerivAt g f' x`. If that's right, f = D1, g = deriv φ, needs D1 =ᶠ deriv φ — hx.deriv.symm ✓ — but error says expected deriv φ x = D1 x... meaning congr_of_eventuallyEq's h₁ is actually `g =ᶠ[𝓝 x] f`?? Then h1 : deriv φ =ᶠ D1 i.e. hx.deriv directly. Just drop the .symm. (There's also Filter.EventuallyEq.hasDerivAt : f =ᶠ g → HasDerivAt f → HasDerivAt g with the eq FIRST — different arg order.) I'll try without .symm.\n\n2. eventually_of_forall unknown — it's `Filter.eventually_of_forall` (we don't open Filter? The file has `open Zeta23 Complex Filter Topology` — Filter IS opened... but `eventually_of_forall` still unknown? In recent Mathlib it's `Filter.eventually_of_forall` — with open Filter it should resolve... \"Unknown identifier\" — maybe renamed to `Eventually.of_forall`? or `Filter.Eventually.of_forall`? Use `Filter.Eventually.of_forall`? Hmm — safer: `eventually_of_forall` exists in Lean core? In Lean4 core: `Filter.eventually_of_forall` ✓ I thought. Since open Filter didn't help, use full path `Filter.eventually_of_forall`. If still unknown, `by intro x; exact ...`? eventually_of_forall : (∀ x, p x) → ∀ᶠ x in f, p x. Alternatively `(univ_mem' fun _ => deriv_id'' _)`... let me just use Filter.eventually_of_forall.\n\n3. deriv_id'' : it's `(deriv fun x => x) = fun x => 1` — a function equation, not pointwise! So deriv_id'' T fails. Pointwise: `deriv_id''` hmm the printed type: `(deriv fun x => x) = fun x => 1` — that IS deriv_id' probably (no arguments). Pointwise version: `deriv_id''` shows as function eq... The error at 464:30: \"Function expected at deriv_id'' but this term has type (deriv fun x => x) = fun x => 1\" — so `deriv_id''` without argument is the function equality. Use `deriv_id''` differently: pointwise lemma is `deriv_id''`? Confusing. Use: `deriv (id : ℝ → ℝ) T = 1` via `deriv_id''`?? Let me just use `by simp` for these: deriv id T = 1: `deriv_id''`... In Mathlib: `theorem deriv_id' : deriv id = fun x => 1` and `theorem deriv_id'' (x) : deriv id x = 1`? The print shows deriv_id'' IS the function version?? \"this term has type (deriv fun x => x) = fun x => 1\" — hmm that's from applying deriv_id'' to T? No — \"Function expected at deriv_id''\" means deriv_id'' is not a function taking T — its type is the equation. So in THIS Mathlib, deriv_id'' is the function-equality (or deriv_id' renamed). Pointwise alternative: `(hasDerivAt_id' T).deriv : deriv id T = 1` ✓ robust. And for the eventuallyEq: fun _ => (hasDerivAt_id' _).deriv.\n\nAlso the he.deriv : `EventuallyEq.deriv he : deriv (deriv id) =ᶠ[𝓝 T] deriv (fun _ => 1)` — it's an EventuallyEq, not Eq — can't rw with it directly. Need: `Filter.EventuallyEq.deriv : f =ᶠ[𝓝 x] g → deriv f x = deriv g x`? The print shows it gave an =ᶠ — so in this Mathlib, EventuallyEq.deriv gives the eventuallyEq of derivs (there must be a pointwise one: `EventuallyEq.deriv_eq`? or `Filter.EventuallyEq.deriv : f =ᶠ[𝓝 x] g → deriv f x = deriv g x`... the error print: \"EventuallyEq.deriv he is a proof of deriv (deriv id) =ᶠ[𝓝 T] deriv fun x => 1\" — so .deriv gives =ᶠ. Pointwise: use `Filter.EventuallyEq.deriv`... there's `EventuallyEq.deriv_eq`? For our purpose: h1 : deriv (deriv id) T = 0: prove: deriv (deriv id) T = deriv (fun _ => 1) T = 0: first step via EventuallyEq pointwise: he.deriv? Let me look for `EventuallyEq.deriv_eq`... I recall `Filter.EventuallyEq.deriv` might BE pointwise in some versions. Given ambiguity: sidestep with deriv2_of_hasDerivAt_nhds! id: h1 : ∀ᶠ x, HasDerivAt id 1 x (eventually_of_forall fun x => hasDerivAt_id' x); h2 : HasDerivAt (fun _ => 1) 0 T := hasDerivAt_const T 1. Then deriv2 = 0 ✓ and deriv id T = 1 from h1.self_of_nhds.deriv ✓. Cleaner and uses the machinery.\n\n4. `unfold psiOf; rw [h1, h2]` left goal `0 − 1/(T−1) = −1/(T−1)` — needs `ring` or `sub_zero`/`neg_eq...`: just `ring` after rw — rw doesn't close non-rfl goals. End with ring.\n\n5. neg_neg_of_pos : −a < 0? neg_neg_of_pos : 0 < a → −a < 0 ✓ exists? The error: \"has type −(1/(T−1)) < 0 but expected ...\" — expected `0 − 1/(T−1) < 0`?? Because psiOf id T unfolds to 0 − 1/(T−1) and my target after rw [h1, h2] is `0 − 1/(T−1) < 0` — need to simplify 0 − x: add `zero_sub` rw or `simpa`. Use: rw [h1, h2, zero_sub]; exact neg_neg_of_pos (one_div_pos.mpr h3). And check neg_neg_of_pos exists — if not: `neg_neg_of_pos` might be `neg_neg_of_pos : 0 < a → -a < 0` ✓ I think it exists. Fallback: by positivity? no. linarith [one_div_pos.mpr h3] works too: goal 0 − 1/(T−1) < 0 with h : 0 < 1/(T−1): linarith ✓. Use linarith.\n\nFix all.","signature":""},{"type":"text","text":"Fixing batch 1 errors: use the `deriv2_of_hasDerivAt_nhds` machinery for `id` too, fix congr direction, and closing steps."},{"type":"tool_use","id":"Edit_102","name":"Edit","input":{"file_path":"D:\\Python\\Quantum\\research\\lean\\NguyenRH1\\NguyenRH1\\LiSkeleton.lean","old_string":"/-- Second-derivative computation package: if φ has derivative D1 on a\nneighborhood of T and D1 has derivative D2 at T, then φ″(T) = D2. -/\ntheorem deriv2_of_hasDerivAt_nhds {φ D1 : ℝ → ℝ} {T D2 : ℝ}\n    (h1 : ∀ᶠ x in 𝓝 T, HasDerivAt φ (D1 x) x) (h2 : HasDerivAt D1 D2 T) :\n    deriv (deriv φ) T = D2 :=\n  (h2.congr_of_eventuallyEq (by\n    filter_upwards [h1] with x hx using hx.deriv.symm)).deriv\n\n/-- The ψ-functional of D-057: ψ[φ](T) = φ″(T) − φ′(T)/(T−1). -/\ndef psiOf (φ : ℝ → ℝ) (T : ℝ) : ℝ := deriv (deriv φ) T - deriv φ T / (T - 1)\n\n/-- [PROVED session 011] Block #2 (identity): ψ[id](T) = −1/(T−1) < 0. -/\ntheorem psiOf_id (T : ℝ) (hT : 1 < T) : psiOf id T = -1 / (T - 1) ∧ psiOf id T < 0 := by\n  have h1 : deriv (deriv id) T = 0 := by\n    have he : deriv id =ᶠ[𝓝 T] fun _ => (1 : ℝ) :=\n      eventually_of_forall fun _ => deriv_id'' _\n    rw [he.deriv, deriv_const]\n  have h2 : deriv id T = 1 := deriv_id'' T\n  have h3 : (0 : ℝ) < T - 1 := by linarith\n  constructor\n  · unfold psiOf; rw [h1, h2]\n  · unfold psiOf; rw [h1, h2]; exact neg_neg_of_pos (one_div_pos.mpr h3)","new_string":"/-- Second-derivative computation package: if φ has derivative D1 on a\nneighborhood of T and D1 has derivative D2 at T, then φ″(T) = D2. -/\ntheorem deriv2_of_hasDerivAt_nhds {φ D1 : ℝ → ℝ} {T D2 : ℝ}\n    (h1 : ∀ᶠ x in 𝓝 T, HasDerivAt φ (D1 x) x) (h2 : HasDerivAt D1 D2 T) :\n    deriv (deriv φ) T = D2 :=\n  (h2.congr_of_eventuallyEq (by\n    filter_upwards [h1] with x hx using hx.deriv)).deriv\n\n/-- The ψ-functional of D-057: ψ[φ](T) = φ″(T) − φ′(T)/(T−1). -/\ndef psiOf (φ : ℝ → ℝ) (T : ℝ) : ℝ := deriv (deriv φ) T - deriv φ T / (T - 1)\n\n/-- [PROVED session 011] Block #2 (identity): ψ[id](T) = −1/(T−1) < 0. -/\ntheorem psiOf_id (T : ℝ) (hT : 1 < T) : psiOf id T = -1 / (T - 1) ∧ psiOf id T < 0 := by\n  have h1 : ∀ᶠ x in 𝓝 T, HasDerivAt id 1 x :=\n    Filter.eventually_of_forall fun x => hasDerivAt_id' x\n  have hd2 : deriv (deriv id) T = 0 :=\n    deriv2_of_hasDerivAt_nhds h1 (hasDerivAt_const T 1)\n  have hd1 : deriv id T = 1 := h1.self_of_nhds.deriv\n  have h3 : (0 : ℝ) < T - 1 := by linarith\n  refine ⟨?_, ?_⟩\n  · unfold psiOf; rw [hd2, hd1]; ring\n  · unfold psiOf; rw [hd2, hd1]; linarith [one_div_pos.mpr h3]"},"extra_content":null}]