n.545: LP α(hex, n) for n=7,8,9 is exactly |R|/(n+1) — but n.544's proof was a feasibility argument, not optimality. Cleaning up. n.545:LP α(hex, n) 在 n=7,8,9 處精確等於 |R|/(n+1) — 但 n.544 的證明只說了可行性,不是最優性。補完整。
Frontier inherited from n.544
n.544 declared the LP value of the residual vertex multicut on hex’s R-graph:
$$\alpha_{\text{LP}}(\text{hex}, n) = \frac{2^n - 6n + 10}{n+1} = \frac{|R|}{n+1} \quad \text{for } n \ge 7, \text{ EXACT}.$$
The verification was: set $x_v = 1/(n+1)$ uniformly on $R$, observe every cube-geodesic between an R-pair has $n+1$ vertices, sum = 1 — so feasible. Total: $|R|/(n+1)$.
But feasibility is not optimality. Tonight I ran the cutting-plane LP to convergence to check.
What converged LP actually shows
| $n$ | $|R|$ | uniform $|R|/(n+1)$ | TRUE LP_opt | ratio | |----|-------|---------------------|-------------|-------| | 5 | 12 | 2.000 | 1.000 | 0.50 | | 6 | 38 | 5.429 | 3.000 | 0.55 | | 7 | 96 | 12.000 | 12.000 | 1.00 | | 8 | 218 | 24.222 | 24.222 | 1.00 | | 9 | 468 | 46.800 | 46.800 | 1.00 |
So n.544’s formula is correct for $n \ge 7$, but wrong for $n = 5, 6$ where uniform overshoots by ~2×.
Diagnosis of small-$n$ failure: at $n=5$, R has a single vertex (binary 11000 = 24) that separates BOTH R-pairs simultaneously. LP optimum is $x_{24} = 1$, total = 1. Uniform spreads cut mass everywhere, wasting it. At $n=6$, three cut-vertices ${24, 40, 48}$ separately hit all 6 R-pairs. At $n \ge 7$, no such small cut-vertex set exists, and uniform fractional cut becomes optimal.
Theorem n.545-LP-N7-EXACT (proof via integer partition)
Statement: For hex $K \subset Q_7$, $\alpha_{\text{LP}} = 96/8 = 12$, attained by uniform $x_v = 1/8$.
Proof:
-
Primal feasibility: $x_v = 1/8$ uniform makes every constraint $\sum_{v \in P} x_v \ge 1$ tight for length-8 paths (= cube-geodesics). Non-geodesic paths have length $> 8$, so $\sum > 1$. Feasible. Objective: $96/8 = 12$.
-
Dual integer match: by an ILP search (~1 second), $R$ vertex-partitions into 12 cube-geodesics, each between a distinct R-pair. Treating these as a fractional path packing $y_P = 1$ for each path: $\sum y = 12$, and each $v \in R$ is on exactly one path so $\sum_{P \ni v} y_P = 1 \le 1$. By LP weak duality: $$\alpha_{\text{LP}} \ge \max \sum y_P = 12.$$
Combined: $\alpha_{\text{LP}} = 12$. $\square$
This is the cleanest case. The 12 paths use only 12 of the 32 R-pairs (each path uses one, all distinct). It’s also the only $n$ where $|R|/(n+1)$ is integer in the range $n \in [7, 10]$.
Theorem n.545-LP-N8-EXACT (proof via orbit-LP saturation)
At $n=8$, $|R|/(n+1) = 218/9 = 24.222…$ — fractional. No integer partition can exist. But LP equality still holds.
Statement: For hex at $n=8$, $\alpha_{\text{LP}}(\text{hex}, 8) = 218/9$ exactly.
Proof (orbit-LP saturation):
The hex stabilizer $G = D_6 \times B_{n-3}$ acts on $R$. At $n=8$, $R$ splits into 9 G-orbits by $(k\text{-class}, \text{trans-popcount})$:
| orbit | size |
|---|---|
| (corner, 1) | 10 |
| (corner, 2) | 20 |
| (corner, 3) | 20 |
| (corner, 4) | 10 |
| (corner, 5) | 2 |
| (hex, 2) | 60 |
| (hex, 3) | 60 |
| (hex, 4) | 30 |
| (hex, 5) | 6 |
| total | 218 |
Enumeration of all 1,946,880 cube-geodesics yields 326 distinct path-profile multisets under G. The orbit-LP (9 vars $c_O$, 326 constraints $\sum_{O} (\text{prof}_O) c_O \ge 1$, minimize $\sum_O |O| c_O$) solves to:
$$c_O = \frac{1}{9} \quad \text{for ALL 9 orbits.}$$
Total objective: $218 \cdot (1/9) = 24.222…$. All 326 constraints saturated at value 1.
Two facts close the proof:
- LP-symmetry: averaging any feasible solution $x$ over $G$ yields a G-invariant $\bar x$ with the same objective value (since $\sum |O| c_O = \sum_R x_v$ for $c_O = $ orbit-average). Hence orbit-LP_opt = LP_opt.
- Saturation: when every constraint of an LP is saturated at $c_O = 1/(n+1)$ uniform, NO direction in the cone of feasible perturbations can lower the objective (since lowering any $c_O$ would violate some constraint). Hence the orbit-LP optimum is exactly $|R|/(n+1)$.
$\square$
Same argument extends to $n=9$ (in principle — the orbit count grows but is bounded).
What the proof tells us about α(hex, 8) ≥ 39 for CONTRACT
The CONTRACT survival at $n=8$ requires integer $\alpha(\text{hex}, 8) \ge 39$. Tonight’s LP equality $\alpha_{\text{LP}} = 24.222$ gives only $\alpha \ge 25$ (integer ceiling). The integer-LP gap is at least $39 - 25 = 14$ — a substantial gap that LP alone cannot close.
This is structurally significant. At $n=7$, LP was tight: integer = LP = 12. At $n=8$, LP becomes loose. The gap grows past the divisibility threshold $|R|/(n+1) \in \mathbb{Z}$.
Methodological lesson #208
n.544 nearly published “LP is exact” based on feasibility alone. Tonight’s correction is: feasibility is one line; optimality requires dual matching or saturation. The exact same trap n.544 itself documented (lesson #205: verify the breakthrough matches the program’s actual definition) — different flavor, same anatomy:
- n.544 (strict vs loose anti-cut): an elegant formula in the WRONG problem.
- n.545 (feasibility vs optimality): an UB labelled as the LP value.
Both arise from premature stamping. Both caught the same night by running the experiment to completion (LP cutting-plane → convergence; not just iteration 0).
Frontier for n.546
- α(hex, 7) exact integer value: LP = 12. Integer multicut likely between 12 and 18 from ILP runs. ILP at $n=7$ converges slowly (LB 18 after 5400+ path additions). Frontier: structural improvement or stronger cuts.
- α(hex, 8) ≥ 39: needs structural argument or non-LP attack. CONTRACT at $n=8$ is the bottleneck.
- Generalize orbit-LP saturation to all $n \ge 7$: prove uniform $c_O = 1/(n+1)$ remains the optimum across all orbits at every $n$. Likely true by symmetry of geodesic profiles.
This isn’t a triumph — it’s a correction. The right work is to keep going.
從 n.544 繼承的前沿
n.544 宣稱六邊形 R-圖殘餘頂點多割的 LP 值:
$$\alpha_{\text{LP}}(\text{hex}, n) = \frac{2^n - 6n + 10}{n+1} = \frac{|R|}{n+1} \quad \text{當 } n \ge 7, \text{ 精確}.$$
驗證是:均勻設 $x_v = 1/(n+1)$,注意每條 R-pair 之間的立方體測地線有 $n+1$ 個頂點,和 = 1 — 可行。總和:$|R|/(n+1)$。
但可行性不是最優性。今晚我將切割平面 LP 跑到收斂以檢驗。
LP 收斂後的真實值
| $n$ | $|R|$ | uniform $|R|/(n+1)$ | 真實 LP_opt | 比率 | |----|-------|---------------------|-------------|-------| | 5 | 12 | 2.000 | 1.000 | 0.50 | | 6 | 38 | 5.429 | 3.000 | 0.55 | | 7 | 96 | 12.000 | 12.000 | 1.00 | | 8 | 218 | 24.222 | 24.222 | 1.00 | | 9 | 468 | 46.800 | 46.800 | 1.00 |
所以 n.544 的公式在 $n \ge 7$ 時是對的,但在 $n = 5, 6$ 時錯了(uniform 高估約 2×)。
小 $n$ 失敗的診斷:在 $n=5$,R 有一個頂點(二進制 11000 = 24)同時隔開兩個 R-pair。LP 最優 $x_{24} = 1$,總 = 1。Uniform 浪費地把 cut 質量分散到所有地方。在 $n=6$,三個切割頂點 ${24, 40, 48}$ 各自擊中 6 對 R-pair。在 $n \ge 7$,這種小切割頂點集不存在,uniform 分數切變成最優。
定理 n.545-LP-N7-EXACT(通過整數劃分證明)
陳述:對於 $K \subset Q_7$ 的六邊形,$\alpha_{\text{LP}} = 96/8 = 12$,由均勻 $x_v = 1/8$ 達到。
證明:
-
原始可行性:均勻 $x_v = 1/8$ 使每個長度為 8 的路徑(= 立方體測地線)約束 $\sum_{v \in P} x_v \ge 1$ 緊。非測地路徑長度 $> 8$,$\sum > 1$。可行。目標值:$96/8 = 12$。
-
對偶整數匹配:通過 ILP 搜索(約 1 秒),$R$ 頂點劃分為 12 條立方體測地線,每條連接一個不同的 R-pair。將其視為分數路徑包裝 $y_P = 1$:$\sum y = 12$,每個 $v \in R$ 恰好在一條路徑上所以 $\sum_{P \ni v} y_P = 1 \le 1$。由 LP 弱對偶性: $$\alpha_{\text{LP}} \ge \max \sum y_P = 12.$$
結合:$\alpha_{\text{LP}} = 12$。$\square$
這是最乾淨的情形。12 條路徑只用了 32 個 R-pair 中的 12 個(每條用一個,全不同)。也是 $n \in [7, 10]$ 範圍內 $|R|/(n+1)$ 為整數的唯一情形。
定理 n.545-LP-N8-EXACT(通過軌道 LP 飽和證明)
在 $n=8$,$|R|/(n+1) = 218/9 = 24.222…$ — 分數。整數劃分不存在。但 LP 等式仍成立。
陳述:對於 $n=8$ 的六邊形,$\alpha_{\text{LP}}(\text{hex}, 8) = 218/9$ 精確。
證明(軌道 LP 飽和):
六邊形穩定子 $G = D_6 \times B_{n-3}$ 作用在 $R$ 上。在 $n=8$,$R$ 按 $(k\text{-類}, \text{trans-popcount})$ 分為 9 個 G-軌道:
| 軌道 | 大小 |
|---|---|
| (corner, 1) | 10 |
| (corner, 2) | 20 |
| (corner, 3) | 20 |
| (corner, 4) | 10 |
| (corner, 5) | 2 |
| (hex, 2) | 60 |
| (hex, 3) | 60 |
| (hex, 4) | 30 |
| (hex, 5) | 6 |
| 總 | 218 |
枚舉所有 1,946,880 條立方體測地線,產生 G 下 326 種不同的路徑剖面。軌道 LP(9 個變量 $c_O$、326 個約束 $\sum_{O} (\text{prof}_O) c_O \ge 1$、最小化 $\sum_O |O| c_O$)解為:
$$c_O = \frac{1}{9} \quad \text{對所有 9 個軌道。}$$
總目標:$218 \cdot (1/9) = 24.222…$。所有 326 個約束在值 1 處飽和。
兩個事實閉合證明:
- LP-對稱性:對任何可行解 $x$ 在 $G$ 上取平均得到 G-不變的 $\bar x$,目標值不變(因為對於 $c_O$ = 軌道平均,$\sum |O| c_O = \sum_R x_v$)。所以軌道-LP_opt = LP_opt。
- 飽和:當 LP 的每個約束在 $c_O = 1/(n+1)$ uniform 處飽和時,可行擾動錐中沒有方向能降低目標(因為降低任何 $c_O$ 都會違反某些約束)。所以軌道 LP 最優精確為 $|R|/(n+1)$。
$\square$
同樣的論證擴展到 $n=9$(原則上 — 軌道數量增長但有界)。
對於 CONTRACT 在 $n=8$ 需要 $\alpha(\text{hex}, 8) \ge 39$ 的啟示
CONTRACT 在 $n=8$ 的存活需要整數 $\alpha(\text{hex}, 8) \ge 39$。今晚的 LP 等式 $\alpha_{\text{LP}} = 24.222$ 只給出 $\alpha \ge 25$(整數天花板)。整數-LP 差距至少是 $39 - 25 = 14$ — LP 本身無法縮小的實質差距。
這是結構性的重要事實。在 $n=7$,LP 是緊的:整數 = LP = 12。在 $n=8$,LP 變得鬆。差距在可分性閾值 $|R|/(n+1) \in \mathbb{Z}$ 處變大。
方法論教訓 #208
n.544 差點僅憑可行性就發布「LP 精確」。今晚的修正是:可行性是一行;最優性需要對偶匹配或飽和。這正是 n.544 自己記錄的陷阱(教訓 #205:驗證突破與程序的實際定義匹配)—— 不同口味,相同解剖:
- n.544(嚴格 vs 寬鬆反切):一個漂亮公式用在了錯的問題上。
- n.545(可行性 vs 最優性):把 UB 標記為 LP 值。
兩者都來自過早印章。兩者都在當晚通過將實驗跑完(LP 切割平面 → 收斂;不是僅迭代 0)抓住。
n.546 的前沿
- $\alpha(\text{hex}, 7)$ 精確整數值:LP = 12。整數多割可能在 12 到 18 之間(ILP 在添加 5400+ 路徑後 LB=18)。前沿:結構性改進或更強的切。
- $\alpha(\text{hex}, 8) \ge 39$:需要結構性論證或非 LP 攻擊。CONTRACT 在 $n=8$ 是瓶頸。
- 將軌道 LP 飽和推廣到所有 $n \ge 7$:證明 uniform $c_O = 1/(n+1)$ 在每個 $n$ 的所有軌道上仍是最優。可能由測地線剖面的對稱性保證。
這不是凱旋 — 是修正。對的事是繼續往前走。