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← Session 28 — ii′-5e: partial-fraction identity (zero series + F entire)

#1578 assistant 2026-08-23 20:01:00.687 UTC · 1015→2035 tok open ⤢
thinking (4726 chars)
The python script rewrote the file, so my Read snapshot is stale. Let me re-read the tail, then reconsider the approach for the fiber bound — I'm overcomplicating the subtype-of-subtype dance. Actually, let me simplify the whole assembly by avoiding the fiber-subtype tsum entirely. Instead: ∑'_Z ofReal(tailTerm X) ≤ ofReal(∑'_j F'_j) via... — the fiberwise gives ∑'_{Z} f = ∑'_{j} ∑'_{fiber j} f — the fiber tsums are over the subtype {b : Z // dyadClass X b = j} — a TYPE — and I want to bound each by ofReal(F_j). The fiber subtype's tsum: since the fiber is FINITE (a Fintype via the set-finiteness), the tsum = the Fintype-sum: `tsum_fintype (f) : ∑' b, f b = ∑ b, f b` needs [Fintype (the subtype)] — from `Set.Finite.fintype` (the probe confirmed Set.Finite.fintype : s.Finite → Fintype ↥s ✓). But the fiberwise's fiber is `(dyadClass X)⁻¹' {j}` — as a SET of Z: {ρ : Z | dyadClass X ρ ∈ {j}} — and my dyadClass_fiber_finite is about {ρ | dyadClass X ρ = j} — these are the same set up to mem_singleton: {ρ | dyadClass X ρ ∈ {j}} = {ρ | dyadClass X ρ = j} by Set.mem_singleton_iff ✓ (preimage of singleton). So the Fintype: ((dyadClass X)⁻¹' {j}).Finite from dyadClass_fiber_finite via the set-equality ✓. Then ∑'_{b : ↥((dyadClass X)⁻¹'{j})} ofReal(tailTerm X ↑b) = ∑_{b : ↥(...)} ofReal(...) (tsum_fintype with the Fintype instance) = ∑_{b ∈ (the finite).toFinset...} hmm — the univ sum over the subtype vs the toFinset sum: `Finset.sum_subtype`-style: for a Fintype of a subtype: ∑ b : ↥s, f b = ∑ b ∈ s.toFinset, f b — is there that bridge? `Set.Finite.sum_toFinset`?? didn't exist. There's `Finset.sum_subtype` (the probe showed): `(s : Finset ι) → (∀ x, x ∈ s ↔ p x) → ∀ f, ∑ a ∈ s, f a = ∑ a : subtype-p, f ↑a`?? the printed form: `∑ a ∈ s, f a = ∑ a, f ↑a` — the RHS is over the Fintype of the subtype ✓. So: ∑_{b : ↥{class = j}} g b = ∑_{b ∈ (finite).toFinset} g b via (Finset.sum_subtype (the toFinset) (fun x => by rw [Set.Finite.mem_toFinset]) g).symm ✓. Then the real bound on the toFinset sum: ∑_{ρ ∈ fiberToFinset} ofReal(tailTerm X ρ) ≤ ofReal(F_j): ofReal_sum_of_nonneg backwards: = ofReal(∑ tailTerm) ≤ ofReal((1/(4^jX²))·(count bound)): ∑_{ρ ∈ fiberToFinset} tailTerm X ρ ≤ (1/(4^jX²))·∑_{ρ ∈ fiberToFinset} m_ρ — each term: tailTerm X ρ ≤ (1/(4^jX²))·m_ρ: cases on X < |im|: pos: tailTerm = m/(1+γ²) ≤ m/(4^jX²): 1/(1+γ²) ≤ 1/(4^jX²) ⟸ 4^jX² ≤ 1+γ² ⟸ 2^jX ≤ |γ| (dyadClass_lower hX0 (X ≤ |im| from X < |im|) with the class = j ✓) ⟹ 4^jX² = (2^jX)² ≤ γ² ≤ 1+γ² ✓; neg: tailTerm = 0 ≤ · ✓. So Finset.sum_le_sum ✓ then factor: (1/(4^jX²))·∑ m via Finset.mul_sum backwards ✓. Then the count: the fiberToFinset ⊆ the fiber_mult_count's finset... wait — the fiber_mult_count's finset is the {class = j ∧ X < |im|} set's toFinset — and my fiberToFinset is the {class = j} full fiber's toFinset — the sum ∑_{full} m vs ∑_{X<|im| part} m: ∑_{full} tailTerm = ∑_{X<|im| part} tailTerm (others 0) — via Finset.sum_filter or subset-sum: the {class = j ∧ X < |im|}-toFinset ⊆ full-fiber-toFinset ✓ and on the complement tailTerm = 0 ⟹ ∑_{full} tailTerm = ∑_{sub} tailTerm via `Finset.sum_subset` (h : s ⊆ t) (h0 : ∀ x ∈ t \ s, f x = 0) : ∑ s = ∑ t?? Finset.sum_subset : s ⊆ t → (∀ x ∈ t, x ∉ s → f x = 0) → ∑ x ∈ s, f x = ∑ x ∈ t, f x ✓. So: ∑_{full} tailTerm = ∑_{multcount-finset} tailTerm ≤ (1/(4^jX²))·(fiber_mult_count bound) = the F-form. And ofReal-steps: ∑'_{fiber} ofReal(tailTerm) = [tsum_fintype] ∑_{b : ↥full-fiber} ofReal(tailTerm ↑b) = [sum_subtype] ∑_{ρ ∈ fullFiber.toFinset} ofReal(tailTerm X ρ) = [ofReal_sum_of_nonneg] ofReal(∑ tailTerm) ≤ ofReal((1/(4^jX²))·countbound) = ofReal(F'_j) where F'_j := (1/(4^jX²))·A₀(2^{j+1}X+3)·log(3·2^{j+1}X+5). Then the total: ∑'_{j} ofReal(F'_j) ≤ ofReal(16A₀logX/X): = ofReal(∑' F'_j) (ofReal_tsum_of_nonneg: F' nonneg ✓ summable: F'_j ≤ (4A₀/X)·G_j ⟸ the (2^{j+1}X+3)/(4^jX²) ≤ 4/(X·2^j) and log ≤ (j+4)log2+logX ✓) ≤ ofReal(16A₀logX/X) (ofReal_le_ofReal + the real bound: ∑' F' ≤ (4A₀/X)·(10log2+2logX) ≤ 16A₀logX/X via dyadic_tail_constant ✓). Let me also double check the per-term F'_j ≤ (4A₀/X)·G_j: F'_j = (1/(4^jX²))·A₀·(2^{j+1}X+3)·L_j and (4A₀/X)·G_j = (4A₀/X)·((j+4)log2 + logX)/2^j: the two factors: A₀(2^{j+1}X+3)/(4^jX²) ≤ (4A₀/X)/2^j ⟺ (2^{j+1}X+3)/(4^jX²) ≤ 4/(X2^j) ⟺ (2^{j+1}X+3)·X·2^j ≤ 4·4^jX² ⟺ 2^{j+1}X²2^j + 3X2^j ≤ 4^{j+1}X² ⟺ 2·4^jX² + 3·2^jX ≤ 4·4^jX² ⟺ 3·2^jX ≤ 2·4^jX² ⟺ 3 ≤ 2·2^j·X ✓ (2^jX ≥ 200). and L_j ≤ (j+4)log2 + logX ✓ (the 3·2^{j+1}X+5 ≤ 2^{j+4}X argument). So F'_j = [A₀(2^{j+1}X+3)/(4^jX²)]·L_j ≤ [(4A₀/X)/2^j]·[(j+4)log2+logX] via mul_le_mul of the two (both nonneg sides ✓). OK — let me write the whole thing cleanly now. Delete the botched fiber_tailTerm_sum_le placeholder and write both lemmas properly.
Let me re-read the current tail and write the complete final assembly cleanly.
tool: Bash
input
{
  "command": "tail -30 D:/Python/Quantum/research/lean/NguyenRH1/NguyenRH1/LiCircleBound.lean",
  "description": "Current file tail"
}
raw content_json (database row)
[{"type":"thinking","thinking":"The python script rewrote the file, so my Read snapshot is stale. Let me re-read the tail, then reconsider the approach for the fiber bound — I'm overcomplicating the subtype-of-subtype dance.\n\nActually, let me simplify the whole assembly by avoiding the fiber-subtype tsum entirely. Instead:\n\n∑'_Z ofReal(tailTerm X) ≤ ofReal(∑'_j F'_j) via... — the fiberwise gives ∑'_{Z} f = ∑'_{j} ∑'_{fiber j} f — the fiber tsums are over the subtype {b : Z // dyadClass X b = j} — a TYPE — and I want to bound each by ofReal(F_j). The fiber subtype's tsum: since the fiber is FINITE (a Fintype via the set-finiteness), the tsum = the Fintype-sum: `tsum_fintype (f) : ∑' b, f b = ∑ b, f b` needs [Fintype (the subtype)] — from `Set.Finite.fintype` (the probe confirmed Set.Finite.fintype : s.Finite → Fintype ↥s ✓). But the fiberwise's fiber is `(dyadClass X)⁻¹' {j}` — as a SET of Z: {ρ : Z | dyadClass X ρ ∈ {j}} — and my dyadClass_fiber_finite is about {ρ | dyadClass X ρ = j} — these are the same set up to mem_singleton: {ρ | dyadClass X ρ ∈ {j}} = {ρ | dyadClass X ρ = j} by Set.mem_singleton_iff ✓ (preimage of singleton). So the Fintype: ((dyadClass X)⁻¹' {j}).Finite from dyadClass_fiber_finite via the set-equality ✓.\n\nThen ∑'_{b : ↥((dyadClass X)⁻¹'{j})} ofReal(tailTerm X ↑b) = ∑_{b : ↥(...)} ofReal(...) (tsum_fintype with the Fintype instance) = ∑_{b ∈ (the finite).toFinset...} hmm — the univ sum over the subtype vs the toFinset sum: `Finset.sum_subtype`-style: for a Fintype of a subtype: ∑ b : ↥s, f b = ∑ b ∈ s.toFinset, f b — is there that bridge? `Set.Finite.sum_toFinset`?? didn't exist. There's `Finset.sum_subtype` (the probe showed): `(s : Finset ι) → (∀ x, x ∈ s ↔ p x) → ∀ f, ∑ a ∈ s, f a = ∑ a : subtype-p, f ↑a`?? the printed form: `∑ a ∈ s, f a = ∑ a, f ↑a` — the RHS is over the Fintype of the subtype ✓. So: ∑_{b : ↥{class = j}} g b = ∑_{b ∈ (finite).toFinset} g b via (Finset.sum_subtype (the toFinset) (fun x => by rw [Set.Finite.mem_toFinset]) g).symm ✓.\n\nThen the real bound on the toFinset sum: ∑_{ρ ∈ fiberToFinset} ofReal(tailTerm X ρ) ≤ ofReal(F_j): ofReal_sum_of_nonneg backwards: = ofReal(∑ tailTerm) ≤ ofReal((1/(4^jX²))·(count bound)):\n∑_{ρ ∈ fiberToFinset} tailTerm X ρ ≤ (1/(4^jX²))·∑_{ρ ∈ fiberToFinset} m_ρ — each term: tailTerm X ρ ≤ (1/(4^jX²))·m_ρ: cases on X < |im|: pos: tailTerm = m/(1+γ²) ≤ m/(4^jX²): 1/(1+γ²) ≤ 1/(4^jX²) ⟸ 4^jX² ≤ 1+γ² ⟸ 2^jX ≤ |γ| (dyadClass_lower hX0 (X ≤ |im| from X < |im|) with the class = j ✓) ⟹ 4^jX² = (2^jX)² ≤ γ² ≤ 1+γ² ✓; neg: tailTerm = 0 ≤ · ✓. So Finset.sum_le_sum ✓ then factor: (1/(4^jX²))·∑ m via Finset.mul_sum backwards ✓. Then the count: the fiberToFinset ⊆ the fiber_mult_count's finset... wait — the fiber_mult_count's finset is the {class = j ∧ X < |im|} set's toFinset — and my fiberToFinset is the {class = j} full fiber's toFinset — the sum ∑_{full} m vs ∑_{X<|im| part} m: ∑_{full} tailTerm = ∑_{X<|im| part} tailTerm (others 0) — via Finset.sum_filter or subset-sum: the {class = j ∧ X < |im|}-toFinset ⊆ full-fiber-toFinset ✓ and on the complement tailTerm = 0 ⟹ ∑_{full} tailTerm = ∑_{sub} tailTerm via `Finset.sum_subset` (h : s ⊆ t) (h0 : ∀ x ∈ t \\ s, f x = 0) : ∑ s = ∑ t?? Finset.sum_subset : s ⊆ t → (∀ x ∈ t, x ∉ s → f x = 0) → ∑ x ∈ s, f x = ∑ x ∈ t, f x ✓.\n\nSo: ∑_{full} tailTerm = ∑_{multcount-finset} tailTerm ≤ (1/(4^jX²))·(fiber_mult_count bound) = the F-form.\n\nAnd ofReal-steps: ∑'_{fiber} ofReal(tailTerm) = [tsum_fintype] ∑_{b : ↥full-fiber} ofReal(tailTerm ↑b) = [sum_subtype] ∑_{ρ ∈ fullFiber.toFinset} ofReal(tailTerm X ρ) = [ofReal_sum_of_nonneg] ofReal(∑ tailTerm) ≤ ofReal((1/(4^jX²))·countbound) = ofReal(F'_j) where F'_j := (1/(4^jX²))·A₀(2^{j+1}X+3)·log(3·2^{j+1}X+5).\n\nThen the total: ∑'_{j} ofReal(F'_j) ≤ ofReal(16A₀logX/X): = ofReal(∑' F'_j) (ofReal_tsum_of_nonneg: F' nonneg ✓ summable: F'_j ≤ (4A₀/X)·G_j ⟸ the (2^{j+1}X+3)/(4^jX²) ≤ 4/(X·2^j) and log ≤ (j+4)log2+logX ✓) ≤ ofReal(16A₀logX/X) (ofReal_le_ofReal + the real bound: ∑' F' ≤ (4A₀/X)·(10log2+2logX) ≤ 16A₀logX/X via dyadic_tail_constant ✓).\n\nLet me also double check the per-term F'_j ≤ (4A₀/X)·G_j: F'_j = (1/(4^jX²))·A₀·(2^{j+1}X+3)·L_j and (4A₀/X)·G_j = (4A₀/X)·((j+4)log2 + logX)/2^j: the two factors: A₀(2^{j+1}X+3)/(4^jX²) ≤ (4A₀/X)/2^j ⟺ (2^{j+1}X+3)/(4^jX²) ≤ 4/(X2^j) ⟺ (2^{j+1}X+3)·X·2^j ≤ 4·4^jX² ⟺ 2^{j+1}X²2^j + 3X2^j ≤ 4^{j+1}X² ⟺ 2·4^jX² + 3·2^jX ≤ 4·4^jX² ⟺ 3·2^jX ≤ 2·4^jX² ⟺ 3 ≤ 2·2^j·X ✓ (2^jX ≥ 200). and L_j ≤ (j+4)log2 + logX ✓ (the 3·2^{j+1}X+5 ≤ 2^{j+4}X argument). So F'_j = [A₀(2^{j+1}X+3)/(4^jX²)]·L_j ≤ [(4A₀/X)/2^j]·[(j+4)log2+logX] via mul_le_mul of the two (both nonneg sides ✓).\n\nOK — let me write the whole thing cleanly now. Delete the botched fiber_tailTerm_sum_le placeholder and write both lemmas properly.","signature":""},{"type":"text","text":"Let me re-read the current tail and write the complete final assembly cleanly."},{"type":"tool_use","id":"Bash_417","name":"Bash","input":{"command":"tail -30 D:/Python/Quantum/research/lean/NguyenRH1/NguyenRH1/LiCircleBound.lean","description":"Current file tail"},"extra_content":null}]