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← Session 24 — ii′-2…4: swaps, (4.10) design, contour + website roadmap fixes

#1293 assistant 2026-08-22 19:50:35.540 UTC · 395→4107 tok open ⤢
thinking (9907 chars)
§1 green. Now §2 (the R-gap selection + the count bound) and then §3 (g). Let me continue building. §2 components: 1. The count bound: card (zeroDiscFinset t) ≤ 6·C0hat(|t|+7/2)? Let me think about the cleanest bound. The disc's zeros are nontrivial with im ∈ [t−5/2, t+5/2]. The perimeter ZeroCountProp: ∀ u ≥ 2, Nat.card (zeroWindow u) ≤ C0hat(u+1) where zeroWindow u = {IsNontrivialZero ∧ u ≤ im ≤ u+1}. Cover [t−5/2, t+5/2] by 6 unit windows. For t ≥ 10: windows [t−5/2+j, t−3/2+j], j = 0..4 hmm — [t−5/2, t+5/2] has length 5: 5 unit windows [t−5/2+j, t−5/2+j+1], j = 0..4: covers [t−5/2, t+5/2] ✓ exactly 5. Each starts at t−5/2+j ≥ 10−2.5 = 7.5 ≥ 2 ✓. So count ≤ 5·C0hat(t+5/2) (C0hat monotone: need C0hat mono lemma — or just bound C0hat(u+1) ≤ C0hat(t+7/2) since u+1 ≤ t+5/2 ≤ t+7/2 and C0hat is increasing for args ≥ 3: need a small monotonicity lemma `C0hat_mono : MonotoneOn C0hat (Set.Ioi 1)` or pointwise: C0hat a ≤ C0hat b for 1 ≤ a ≤ b: from the def: log and log log increasing ✓. For t ≤ −10: conjugation. Zeros with im ∈ [t−5/2, t+5/2] are conj of zeros with im ∈ [−t−5/2, −t+5/2] ✓ same count. The conj-invariance of IsNontrivialZero: need riemannZeta (conj ρ) = conj (riemannZeta ρ): `riemannZeta_conj` — check exists in Mathlib (Nonvanishing.lean? or RiemannZeta.lean) — there's `riemannZeta_conj : riemannZeta (conj s) = conj (riemannZeta s)`? I believe Mathlib has `riemannZeta_conj` ✓ (it has the Schwartz reflection for ζ). Verify at build. The mult-weighted count: Σ_{ρ ∈ collection} zeroMult ρ — for the loose bound use Jensen (ZerosBound) — actually hold on — for the loose bound I realize I can avoid the mult count entirely by bounding ∏|s−ρₖ|^{mₖ} ≤ ... using mₖ ≥ 1: ∏|s−ρₖ|^{mₖ} ≥ ∏|s−ρₖ|^{mₖ}... no — I need an UPPER bound on |g| = |ζ|/∏|s−ρₖ|^{mₖ}: since |s−ρₖ| ≥ δ (clearance) and mₖ ≥ 1... wait no: ∏|s−ρₖ|^{mₖ} ≥ δ^{Σ mₖ}: |g| ≤ |ζ|/δ^{Σmₖ} — needs Σ mₖ UPPER bound. Hmm — OR: |g| = |ζ|/∏|s−ρₖ|^{mₖ}: since each |s−ρₖ| ≥ δ: ∏|s−ρₖ|^{mₖ} ≥ δ^{Σmₖ}: 1/∏ ≤ δ^{−Σmₖ} = δ^{−M} — M = Σ mₖ needed above. Via Jensen (ZerosBound): M ≤ log(sup|ζ|/|ζ(s₀)|)/log(R/r_c)... — the ZerosBound form: ∑_{ρ in SetOfZeros r} analyticOrderNatAt f ρ ≤ (1/log(R/r))·log B — for f normalized f(0) = 1 with ‖f‖ ≤ B on ‖z‖ ≤ R. Apply to f(w) := ζ(s₀ + w)/ζ(s₀)... hmm the normalization f(0) = 1: f(w) = ζ(s₀+w)/ζ(s₀): f(0) = 1 ✓; ‖f‖ ≤ (3/4)|t|²·ζ(2) on ‖w‖ ≤ 5/2 (from ii′-5b + center lower bound... wait — the center lower bound gives |ζ(s₀)| ≥ 1/ζ(2) so 1/|ζ(s₀)| ≤ ζ(2): ‖f‖ ≤ (3/4)|t|²·ζ(2) ✓). So M ≤ log((3/4)|t|²·ζ(2))/log(R/2.3)-ish. ZerosBound needs r < R < 1 (unit-disc normalization) — so apply to the SCALED function F(w) := ζ(s₀ + (5/2)·w)/ζ(s₀) on the unit disc: zeros of F in ball(0, r/(5/2))... the scaling bookkeeping. Fine. Hmm — this is getting heavy. Given the session length, let me think about what's the RIGHT amount to do today. The full 5c is ~1-1.5 sessions of dense Lean. I've done §1. The remaining: §2 (count + gap), §3 (g), §4 (bounds + BC + loose R-bound). That's realistically the rest of today and into tomorrow. Per the pacing rule and the fact that this is a natural sub-stage boundary (§1 done, compiling), let me commit §1 now, then continue with §2 (the count + R-gap). Actually let me push through §2 first (collection count + R-gap), then commit 5c-part-1. For the count bound — let me look at exactly what I need: `zeroDiscFinset_card_le : (zeroDiscFinset t).card ≤ 6 * ⌈C0hat (|t| + 7/2)⌉₊`? Hmm — Nat.card forms... The perimeter Prop: ZeroCountProp := ∀ t : ℝ, 2 ≤ t → (Nat.card (zeroWindow t) : ℝ) ≤ C0hat (t + 1). The disc count: card(zeroDiscFinset t) = Nat.card ↥(zeroDisc-set)... The chain: card(zeroDiscFinset t) = Nat.card (zeros in disc) ≤ Nat.card (nontrivial zeros with im ∈ [t−5/2, t+5/2]) ≤ Σ over 6 windows Nat.card(zeroWindow u_j) ≤ 6·C0hat(max-window+1). Nat.card comparisons across sets: zeros-in-disc ⊆ zeros-in-window-union: Nat.card of a subset ≤ Nat.card of the bigger (finite): `Nat.card_le_card_of...`? for subtypes of finite sets: `Nat.card_le_card_of_injective`? or Set.Finite.toFinset card comparisons. The window-union count: the union of 6 windows' zero-sets: card(∪) ≤ Σ card — `Finset.card_biUnion_le`? For Nat.card of unions: `Nat.card_union_le`? there's `Set.ncard_union_le` : (s ∪ t).ncard ≤ s.ncard + t.ncard ✓ probably. This is fiddly. Let me define it cleanly: The set of zeros with im in [t−5/2, t+5/2]: this is ⋃_{j=0}^{4} (zeroWindow (t−5/2+j))?? zeroWindow u = {IsNontrivialZero ∧ u ≤ im ≤ u+1}: the union j=0..4: [t−5/2, t−5/2+5] = [t−5/2, t+5/2] ✓ (5 windows j = 0..4 cover length 5 ✓). Then Nat.card(union) ≤ Σ Nat.card(window_j) ≤ 5·C0hat(t−3/2+j+1)... each window's start u_j = t−5/2+j ≥ 7.5 ≥ 2 ✓ (t ≥ 10). Each count ≤ C0hat(u_j + 1) ≤ C0hat(t+7/2) (mono). Total ≤ 5·C0hat(t+7/2) (for t ≥ 10). For t ≤ −10: conjugation: the count for im-window [t−5/2, t+5/2] equals count for [−t−5/2, −t+5/2] ✓. Hmm — the cleanest Lean form for the count I ACTUALLY need downstream: (a) the gap selection needs card ≤ k for an explicit real k (the midpoint lemma takes k : ℕ hmm — exists_avoiding_midpoint {k : ℕ} (hcard : S.card ≤ k) — k natural: so I need card ≤ ⌈5·C0hat(|t|+7/2)⌉₊ or just some explicit natural; use k := Nat.ceil (5 * C0hat (|t| + 7/2)) — or simpler: card ≤ 5·C0hat(...) as a REAL bound, then k := ⌈that⌉₊. Hmm — the midpoint lemma wants S.card ≤ k with k : ℕ. Get card ≤ 5·C0hat(|t|+7/2) (real ineq) then set k := Nat.ceil(...) and card ≤ k via Nat.le_ceil. (b) the extras-count (for the |γ−t| ≥ 1 extras in the final R-sum): ≤ total count ≤ same bound. But that's mult-weighted!! The extras are Σ mₖ/(s−ρₖ) over extras — |each| ≤ mₖ: total ≤ Σ mₖ = mult-weighted count. For the LOOSE bound, use the Jensen mult-count (ZerosBound) — OK as planned. Honestly — for the loose bound, I could simplify by using the Jensen count EVERYWHERE (even for the gap selection's k): the gap needs card of the DISTINCT distance-value set ≤ card of distinct zeros ≤ mult-count M ≤ 24 log|t|+3 (Jensen). So I could skip the perimeter ZeroCountProp for 5c entirely and use Jensen for everything! The Jensen count needs: f normalized on the scaled disc + the |ζ| bound + the center lower bound. Let me restructure 5c to use Jensen (ZerosBound) for the count — then the perimeter ZeroCountProp isn't needed for 5c at all (it IS needed for 5f's tight analysis — later). ZerosBound (StrongPNTPrefix:453): {B r R : ℝ} {f : ℂ → ℂ} (r_pos) (r_lt_one) (r_lt_R) (R_lt_one) (hfAnalytic : AnalyticOnNhd ℂ f (closedBall 0 1)) (hf0_eq_one : f 0 = 1) (finiteZeros : (SetOfZeros 1 f).Finite) (fz_bound : ∀ z, ‖z‖ ≤ R → ‖f z‖ ≤ B) : ∑ ρ ∈ (finiteSetOfZeros_mono r_lt_one finiteZeros).toFinset, analyticOrderNatAt f ρ ≤ (1/log(R/r))·log B. Apply to F(w) := ζ(s₀ + (5/2)·w)/ζ(s₀): - F analytic on closedBall 0 1 ⟸ ζ analytic on closedBall(s₀, 5/2) ✓ (ζ analytic off 1; the disc avoids 1 ✓). - F(0) = 1 ✓ (ζ(s₀)/ζ(s₀), needs ζ(s₀) ≠ 0: re s₀ = 2 > 1: riemannZeta_ne_zero_of_one_lt_re ✓ (re 2 > 1 ✓) — actually `riemannZeta_ne_zero_of_one_lt_re` exists? D-066 inventory said ✓ Mathlib has it). - SetOfZeros 1 F finite: zeros of F in unit closedBall ↔ zeros of ζ in closedBall(s₀, 5/2) ✓ finite (Mathlib machinery ✓). - fz_bound: ‖F(w)‖ ≤ B for ‖w‖ ≤ R: ‖ζ(s₀+(5/2)w)‖/‖ζ(s₀)‖ ≤ (3/4)|t|²·ζ(2)... need ‖ζ(s₀)‖ ≥ 1/ζ(2) (the center lower bound — the μ-series work). With R < 1: the zeros within r/(5/2)... hmm — the count I want: zeros with |ρ−s₀| ≤ r_c = 2.3: w-zeros with ‖w‖ ≤ 2.3/2.5 = 0.92: apply ZerosBound with r := 0.92, R := 0.96 (say): Σ_{‖w‖≤0.92} mult ≤ log B/log(R/r) = log((3/4)|t|²ζ(2))/log(0.96/0.92) ≈ (2log|t| + 0.42)/0.0426 ≈ 47 log|t| + 10. OK — M ≤ 47 log|t| + 10 (loose ✓ fine). So the Jensen count is self-contained modulo the center lower bound. The center lower bound: |ζ(2+it)| ≥ 1/ζ(2): via 1/ζ = Σμ(n)n^{−s}: ‖1/ζ(s)‖ ≤ Σ|μ(n)|·n^{−2} ≤ Σn^{−2} = ζ(2) — the LSeries evaluation: L ↗μ s = Σ μ(n)/n^s: `LSeries_moebius`? — the def LSeries f s = ∑' n, f n / n^s ✓. So ‖L ↗μ s‖ ≤ ∑' ‖μ n / n^s‖ ≤ ∑' 1/n^2 = ζ(2)... the tsum norm: `tsum_norm_le`? hmm — ‖∑' f‖ ≤ ∑' ‖f‖ (Summable → `Summable.tsum_norm_le`? there's `tsum_norm_le`...). And Σ' 1/n^2 = ζ(2) as LSeries: L ↗ζ... The full chain: L ↗μ s = 1/ζ(s) (from LSeries_zeta_mul_Lseries_moebius: L ζ · L μ = 1 ⟹ L μ = 1/ζ... wait it gives L↗ζ s * L↗μ s = 1 and L ↗ζ s = riemannZeta s (`LSeries_zeta_eq_riemannZeta`? hmm — `L ↗ζ s = riemannZeta s` for re > 1: the trivial character L-series = ζ: there should be a lemma `LSeries_zeta_eq_riemannZeta`? hmm — actually L ↗ζ is the LSeries of the constant-1 arithmetic function = riemannZeta for re > 1: `ArithmeticFunction.LSeries_zeta_eq_riemannZeta`? I'm not sure of the name but it exists). Then 1/ζ(s) = L↗μ s = ∑' μ(n)/n^s and ‖∑'‖ ≤ ∑' ‖μ n/n^s‖ ≤ ∑' 1/n^2 = L↗ζ 2 = ζ(2) — so ‖1/ζ(2+it)‖ ≤ ζ(2) ⟹ |ζ(2+it)| ≥ 1/ζ(2) (via norm_div/inverse: ‖1/ζ‖ = 1/‖ζ‖ ✓). And ζ(2) ≤ 2 (elementary: Σ 1/n² ≤ 1 + ∫₁^∞ dx/x² = 2 — or via the exact value π²/6 ≤ 5/3 — Mathlib `riemannZeta_two`?? hmm — is the Basel value in Mathlib? There IS `hasSum_zeta_two`?? not sure. Elementary bound: Σ' 1/n² ≤ 2: `tsum_one_div_nat_pow_le`? hmm — Σ 1/n² = π²/6 = 1.6449: Mathlib might have `riemannZeta_two : riemannZeta 2 = π ^ 2 / 6`?? I don't think Mathlib has Basel. The bound Σ 1/n² ≤ 2 via comparison: 1/n² ≤ 1/(n(n−1)) = 1/(n−1) − 1/n telescopes: Σ ≤ 1 + 1 = 2 — Mathlib: `summable_one_div_nat_pow` + a comparison... I'll find a path at build. Alternatively use ζ(2) ≤ 2 via LSeries comparison to... whatever — worst case prove Σ 1/n² ≤ 2 by the telescoping series directly. OK — this session's already very long. Let me get §2 (gap selection) done with the Jensen-count approach sketched, compiling incrementally. Actually, given how much infrastructure the Jensen count needs (the scaled-function transfer + center lower bound), and the session length, let me commit §1 now and continue in the next chunk with §2.
§1 green — committing this first increment (crash-safe), then continuing with §2.
tool: Bash ok
input
{
  "command": "cd D:/Python/Quantum && git add research/lean/NguyenRH1/NguyenRH1/LiDisc.lean && git -c user.name=\"NGUYEN-RH-1\" -c user.email=\"research@local\" commit -m \"$(cat <<'EOF'\nSession 023 (ii'-5c WIP1): LiDisc.lean \u2014 the zero collection is nontrivial\n\nzeroDiscFinset (zeros of zeta in the closed disc B(2+it, 5/2)) +\nzeroDisc_isNontrivial: every disc zero is a nontrivial zero (re >= 1 via\nMathlib riemannZeta_ne_zero_of_one_le_re; re <= 0 via the FE/GammaR-pole\nargument; 0 excluded via riemannZeta_zero = -1/2).\nEOF\n)\"",
  "description": "Commit ii\u2032-5c WIP1"
}
result 2026-08-22 19:50:35Z → 2026-08-25 08:04:04Z
done
raw content_json (database row)
[{"type":"thinking","thinking":"§1 green. Now §2 (the R-gap selection + the count bound) and then §3 (g). Let me continue building. \n\n§2 components:\n1. The count bound: card (zeroDiscFinset t) ≤ 6·C0hat(|t|+7/2)? Let me think about the cleanest bound. The disc's zeros are nontrivial with im ∈ [t−5/2, t+5/2]. The perimeter ZeroCountProp: ∀ u ≥ 2, Nat.card (zeroWindow u) ≤ C0hat(u+1) where zeroWindow u = {IsNontrivialZero ∧ u ≤ im ≤ u+1}.\n\nCover [t−5/2, t+5/2] by 6 unit windows. For t ≥ 10: windows [t−5/2+j, t−3/2+j], j = 0..4 hmm — [t−5/2, t+5/2] has length 5: 5 unit windows [t−5/2+j, t−5/2+j+1], j = 0..4: covers [t−5/2, t+5/2] ✓ exactly 5. Each starts at t−5/2+j ≥ 10−2.5 = 7.5 ≥ 2 ✓. So count ≤ 5·C0hat(t+5/2) (C0hat monotone: need C0hat mono lemma — or just bound C0hat(u+1) ≤ C0hat(t+7/2) since u+1 ≤ t+5/2 ≤ t+7/2 and C0hat is increasing for args ≥ 3: need a small monotonicity lemma `C0hat_mono : MonotoneOn C0hat (Set.Ioi 1)` or pointwise: C0hat a ≤ C0hat b for 1 ≤ a ≤ b: from the def: log and log log increasing ✓.\n\nFor t ≤ −10: conjugation. Zeros with im ∈ [t−5/2, t+5/2] are conj of zeros with im ∈ [−t−5/2, −t+5/2] ✓ same count. The conj-invariance of IsNontrivialZero: need riemannZeta (conj ρ) = conj (riemannZeta ρ): `riemannZeta_conj` — check exists in Mathlib (Nonvanishing.lean? or RiemannZeta.lean) — there's `riemannZeta_conj : riemannZeta (conj s) = conj (riemannZeta s)`? I believe Mathlib has `riemannZeta_conj` ✓ (it has the Schwartz reflection for ζ). Verify at build.\n\nThe mult-weighted count: Σ_{ρ ∈ collection} zeroMult ρ — for the loose bound use Jensen (ZerosBound) — actually hold on — for the loose bound I realize I can avoid the mult count entirely by bounding ∏|s−ρₖ|^{mₖ} ≤ ... using mₖ ≥ 1: ∏|s−ρₖ|^{mₖ} ≥ ∏|s−ρₖ|^{mₖ}... no — I need an UPPER bound on |g| = |ζ|/∏|s−ρₖ|^{mₖ}: since |s−ρₖ| ≥ δ (clearance) and mₖ ≥ 1... wait no: ∏|s−ρₖ|^{mₖ} ≥ δ^{Σ mₖ}: |g| ≤ |ζ|/δ^{Σmₖ} — needs Σ mₖ UPPER bound. Hmm — OR: |g| = |ζ|/∏|s−ρₖ|^{mₖ}: since each |s−ρₖ| ≥ δ: ∏|s−ρₖ|^{mₖ} ≥ δ^{Σmₖ}: 1/∏ ≤ δ^{−Σmₖ} = δ^{−M} — M = Σ mₖ needed above. Via Jensen (ZerosBound): M ≤ log(sup|ζ|/|ζ(s₀)|)/log(R/r_c)... — the ZerosBound form: ∑_{ρ in SetOfZeros r} analyticOrderNatAt f ρ ≤ (1/log(R/r))·log B — for f normalized f(0) = 1 with ‖f‖ ≤ B on ‖z‖ ≤ R. Apply to f(w) := ζ(s₀ + w)/ζ(s₀)... hmm the normalization f(0) = 1: f(w) = ζ(s₀+w)/ζ(s₀): f(0) = 1 ✓; ‖f‖ ≤ (3/4)|t|²·ζ(2) on ‖w‖ ≤ 5/2 (from ii′-5b + center lower bound... wait — the center lower bound gives |ζ(s₀)| ≥ 1/ζ(2) so 1/|ζ(s₀)| ≤ ζ(2): ‖f‖ ≤ (3/4)|t|²·ζ(2) ✓). So M ≤ log((3/4)|t|²·ζ(2))/log(R/2.3)-ish. ZerosBound needs r < R < 1 (unit-disc normalization) — so apply to the SCALED function F(w) := ζ(s₀ + (5/2)·w)/ζ(s₀) on the unit disc: zeros of F in ball(0, r/(5/2))... the scaling bookkeeping. Fine.\n\nHmm — this is getting heavy. Given the session length, let me think about what's the RIGHT amount to do today. The full 5c is ~1-1.5 sessions of dense Lean. I've done §1. The remaining: §2 (count + gap), §3 (g), §4 (bounds + BC + loose R-bound). That's realistically the rest of today and into tomorrow. \n\nPer the pacing rule and the fact that this is a natural sub-stage boundary (§1 done, compiling), let me commit §1 now, then continue with §2 (the count + R-gap). Actually let me push through §2 first (collection count + R-gap), then commit 5c-part-1.\n\nFor the count bound — let me look at exactly what I need:\n`zeroDiscFinset_card_le : (zeroDiscFinset t).card ≤ 6 * ⌈C0hat (|t| + 7/2)⌉₊`? Hmm — Nat.card forms... The perimeter Prop: ZeroCountProp := ∀ t : ℝ, 2 ≤ t → (Nat.card (zeroWindow t) : ℝ) ≤ C0hat (t + 1). The disc count: card(zeroDiscFinset t) = Nat.card ↥(zeroDisc-set)... The chain: card(zeroDiscFinset t) = Nat.card (zeros in disc) ≤ Nat.card (nontrivial zeros with im ∈ [t−5/2, t+5/2]) ≤ Σ over 6 windows Nat.card(zeroWindow u_j) ≤ 6·C0hat(max-window+1).\n\nNat.card comparisons across sets: zeros-in-disc ⊆ zeros-in-window-union: Nat.card of a subset ≤ Nat.card of the bigger (finite): `Nat.card_le_card_of...`? for subtypes of finite sets: `Nat.card_le_card_of_injective`? or Set.Finite.toFinset card comparisons. The window-union count: the union of 6 windows' zero-sets: card(∪) ≤ Σ card — `Finset.card_biUnion_le`? For Nat.card of unions: `Nat.card_union_le`? there's `Set.ncard_union_le` : (s ∪ t).ncard ≤ s.ncard + t.ncard ✓ probably.\n\nThis is fiddly. Let me define it cleanly:\n\nThe set of zeros with im in [t−5/2, t+5/2]: this is ⋃_{j=0}^{4} (zeroWindow (t−5/2+j))?? zeroWindow u = {IsNontrivialZero ∧ u ≤ im ≤ u+1}: the union j=0..4: [t−5/2, t−5/2+5] = [t−5/2, t+5/2] ✓ (5 windows j = 0..4 cover length 5 ✓).\n\nThen Nat.card(union) ≤ Σ Nat.card(window_j) ≤ 5·C0hat(t−3/2+j+1)... each window's start u_j = t−5/2+j ≥ 7.5 ≥ 2 ✓ (t ≥ 10). Each count ≤ C0hat(u_j + 1) ≤ C0hat(t+7/2) (mono). Total ≤ 5·C0hat(t+7/2) (for t ≥ 10).\n\nFor t ≤ −10: conjugation: the count for im-window [t−5/2, t+5/2] equals count for [−t−5/2, −t+5/2] ✓.\n\nHmm — the cleanest Lean form for the count I ACTUALLY need downstream: (a) the gap selection needs card ≤ k for an explicit real k (the midpoint lemma takes k : ℕ hmm — exists_avoiding_midpoint {k : ℕ} (hcard : S.card ≤ k) — k natural: so I need card ≤ ⌈5·C0hat(|t|+7/2)⌉₊ or just some explicit natural; use k := Nat.ceil (5 * C0hat (|t| + 7/2)) — or simpler: card ≤ 5·C0hat(...) as a REAL bound, then k := ⌈that⌉₊. Hmm — the midpoint lemma wants S.card ≤ k with k : ℕ. Get card ≤ 5·C0hat(|t|+7/2) (real ineq) then set k := Nat.ceil(...) and card ≤ k via Nat.le_ceil.\n\n(b) the extras-count (for the |γ−t| ≥ 1 extras in the final R-sum): ≤ total count ≤ same bound. But that's mult-weighted!! The extras are Σ mₖ/(s−ρₖ) over extras — |each| ≤ mₖ: total ≤ Σ mₖ = mult-weighted count. For the LOOSE bound, use the Jensen mult-count (ZerosBound) — OK as planned.\n\nHonestly — for the loose bound, I could simplify by using the Jensen count EVERYWHERE (even for the gap selection's k): the gap needs card of the DISTINCT distance-value set ≤ card of distinct zeros ≤ mult-count M ≤ 24 log|t|+3 (Jensen). So I could skip the perimeter ZeroCountProp for 5c entirely and use Jensen for everything! The Jensen count needs: f normalized on the scaled disc + the |ζ| bound + the center lower bound. Let me restructure 5c to use Jensen (ZerosBound) for the count — then the perimeter ZeroCountProp isn't needed for 5c at all (it IS needed for 5f's tight analysis — later).\n\nZerosBound (StrongPNTPrefix:453): {B r R : ℝ} {f : ℂ → ℂ} (r_pos) (r_lt_one) (r_lt_R) (R_lt_one) (hfAnalytic : AnalyticOnNhd ℂ f (closedBall 0 1)) (hf0_eq_one : f 0 = 1) (finiteZeros : (SetOfZeros 1 f).Finite) (fz_bound : ∀ z, ‖z‖ ≤ R → ‖f z‖ ≤ B) : ∑ ρ ∈ (finiteSetOfZeros_mono r_lt_one finiteZeros).toFinset, analyticOrderNatAt f ρ ≤ (1/log(R/r))·log B.\n\nApply to F(w) := ζ(s₀ + (5/2)·w)/ζ(s₀): \n- F analytic on closedBall 0 1 ⟸ ζ analytic on closedBall(s₀, 5/2) ✓ (ζ analytic off 1; the disc avoids 1 ✓).\n- F(0) = 1 ✓ (ζ(s₀)/ζ(s₀), needs ζ(s₀) ≠ 0: re s₀ = 2 > 1: riemannZeta_ne_zero_of_one_lt_re ✓ (re 2 > 1 ✓) — actually `riemannZeta_ne_zero_of_one_lt_re` exists? D-066 inventory said ✓ Mathlib has it).\n- SetOfZeros 1 F finite: zeros of F in unit closedBall ↔ zeros of ζ in closedBall(s₀, 5/2) ✓ finite (Mathlib machinery ✓).\n- fz_bound: ‖F(w)‖ ≤ B for ‖w‖ ≤ R: ‖ζ(s₀+(5/2)w)‖/‖ζ(s₀)‖ ≤ (3/4)|t|²·ζ(2)... need ‖ζ(s₀)‖ ≥ 1/ζ(2) (the center lower bound — the μ-series work). With R < 1: the zeros within r/(5/2)... hmm — the count I want: zeros with |ρ−s₀| ≤ r_c = 2.3: w-zeros with ‖w‖ ≤ 2.3/2.5 = 0.92: apply ZerosBound with r := 0.92, R := 0.96 (say): Σ_{‖w‖≤0.92} mult ≤ log B/log(R/r) = log((3/4)|t|²ζ(2))/log(0.96/0.92) ≈ (2log|t| + 0.42)/0.0426 ≈ 47 log|t| + 10. OK — M ≤ 47 log|t| + 10 (loose ✓ fine).\n\nSo the Jensen count is self-contained modulo the center lower bound. The center lower bound: |ζ(2+it)| ≥ 1/ζ(2): via 1/ζ = Σμ(n)n^{−s}: ‖1/ζ(s)‖ ≤ Σ|μ(n)|·n^{−2} ≤ Σn^{−2} = ζ(2) — the LSeries evaluation: L ↗μ s = Σ μ(n)/n^s: `LSeries_moebius`? — the def LSeries f s = ∑' n, f n / n^s ✓. So ‖L ↗μ s‖ ≤ ∑' ‖μ n / n^s‖ ≤ ∑' 1/n^2 = ζ(2)... the tsum norm: `tsum_norm_le`? hmm — ‖∑' f‖ ≤ ∑' ‖f‖ (Summable → `Summable.tsum_norm_le`? there's `tsum_norm_le`...). And Σ' 1/n^2 = ζ(2) as LSeries: L ↗ζ... The full chain: L ↗μ s = 1/ζ(s) (from LSeries_zeta_mul_Lseries_moebius: L ζ · L μ = 1 ⟹ L μ = 1/ζ... wait it gives L↗ζ s * L↗μ s = 1 and L ↗ζ s = riemannZeta s (`LSeries_zeta_eq_riemannZeta`? hmm — `L ↗ζ s = riemannZeta s` for re > 1: the trivial character L-series = ζ: there should be a lemma `LSeries_zeta_eq_riemannZeta`? hmm — actually L ↗ζ is the LSeries of the constant-1 arithmetic function = riemannZeta for re > 1: `ArithmeticFunction.LSeries_zeta_eq_riemannZeta`? I'm not sure of the name but it exists). Then 1/ζ(s) = L↗μ s = ∑' μ(n)/n^s and ‖∑'‖ ≤ ∑' ‖μ n/n^s‖ ≤ ∑' 1/n^2 = L↗ζ 2 = ζ(2) — so ‖1/ζ(2+it)‖ ≤ ζ(2) ⟹ |ζ(2+it)| ≥ 1/ζ(2) (via norm_div/inverse: ‖1/ζ‖ = 1/‖ζ‖ ✓).\n\nAnd ζ(2) ≤ 2 (elementary: Σ 1/n² ≤ 1 + ∫₁^∞ dx/x² = 2 — or via the exact value π²/6 ≤ 5/3 — Mathlib `riemannZeta_two`?? hmm — is the Basel value in Mathlib? There IS `hasSum_zeta_two`?? not sure. Elementary bound: Σ' 1/n² ≤ 2: `tsum_one_div_nat_pow_le`? hmm — Σ 1/n² = π²/6 = 1.6449: Mathlib might have `riemannZeta_two : riemannZeta 2 = π ^ 2 / 6`?? I don't think Mathlib has Basel. The bound Σ 1/n² ≤ 2 via comparison: 1/n² ≤ 1/(n(n−1)) = 1/(n−1) − 1/n telescopes: Σ ≤ 1 + 1 = 2 — Mathlib: `summable_one_div_nat_pow` + a comparison... I'll find a path at build. Alternatively use ζ(2) ≤ 2 via LSeries comparison to... whatever — worst case prove Σ 1/n² ≤ 2 by the telescoping series directly.\n\nOK — this session's already very long. Let me get §2 (gap selection) done with the Jensen-count approach sketched, compiling incrementally. Actually, given how much infrastructure the Jensen count needs (the scaled-function transfer + center lower bound), and the session length, let me commit §1 now and continue in the next chunk with §2.","signature":""},{"type":"text","text":"§1 green — committing this first increment (crash-safe), then continuing with §2."},{"type":"tool_use","id":"Bash_345","name":"Bash","input":{"command":"cd D:/Python/Quantum && git add research/lean/NguyenRH1/NguyenRH1/LiDisc.lean && git -c user.name=\"NGUYEN-RH-1\" -c user.email=\"research@local\" commit -m \"$(cat <<'EOF'\nSession 023 (ii'-5c WIP1): LiDisc.lean — the zero collection is nontrivial\n\nzeroDiscFinset (zeros of zeta in the closed disc B(2+it, 5/2)) +\nzeroDisc_isNontrivial: every disc zero is a nontrivial zero (re >= 1 via\nMathlib riemannZeta_ne_zero_of_one_le_re; re <= 0 via the FE/GammaR-pole\nargument; 0 excluded via riemannZeta_zero = -1/2).\nEOF\n)\"","description":"Commit ii′-5c WIP1"},"extra_content":null}]