Motivation
The main project is numerical/operator-focused, but there is a separate route to a theorem-level result: turn finite crossing/wrapping computations into a rigorous bound or rigorous confidence interval for square-site p_c using a published finite-size criterion / renormalization reduction.
This will not compete with 1e-12 numerical threshold estimates. Its value is qualitative: a completely auditable mathematical statement derived from finite computation.
Literature anchor
Riordan & Walters, Phys. Rev. E 76, 011110 (2007), "Rigorous confidence intervals for critical probabilities", use the Balister–Bollobás–Walters finite reduction to obtain rigorous high-confidence intervals for site/bond thresholds of Archimedean lattices. Related finite-size criteria and 1-dependent renormalization methods are standard in rigorous percolation.
Phase 0: feasibility only
Before writing a production codebase, answer:
- Which published finite-size criterion applies directly to square-site percolation on Z^2?
- What finite rectangle/annulus/circuit events and numerical thresholds are required?
- Can our existing exact/Monte-Carlo engines estimate those events with a mathematically valid error bound (binomial tail / exact rational / interval arithmetic)?
- What lattice size and sample count would be needed for any nontrivial improvement over textbook bounds?
- Is a deterministic exact enumeration/transfer-matrix variant feasible for the required event, or is the result necessarily a rigorous confidence interval rather than a deterministic theorem?
Deliverable
A short feasibility note with a concrete theorem statement of the form that could actually be certified, including all constants from the chosen finite-size criterion and a power/cost estimate.
Only open a production implementation if the resulting bound would be scientifically meaningful relative to effort.
Possible outcome classes
- Go: an auditable interval/bound can be obtained with modest compute; implement it.
- Methodologically interesting but weak: document the criterion and stop before expensive production.
- No-go: current rigorous constants make the required finite event unrealistically rare/large; close the route without spending server time.
Priority
P2. This should not delay #43/#57. It is included because a theorem-level side result would diversify the project beyond asymptotic model selection.
Motivation
The main project is numerical/operator-focused, but there is a separate route to a theorem-level result: turn finite crossing/wrapping computations into a rigorous bound or rigorous confidence interval for square-site
p_cusing a published finite-size criterion / renormalization reduction.This will not compete with 1e-12 numerical threshold estimates. Its value is qualitative: a completely auditable mathematical statement derived from finite computation.
Literature anchor
Riordan & Walters, Phys. Rev. E 76, 011110 (2007), "Rigorous confidence intervals for critical probabilities", use the Balister–Bollobás–Walters finite reduction to obtain rigorous high-confidence intervals for site/bond thresholds of Archimedean lattices. Related finite-size criteria and 1-dependent renormalization methods are standard in rigorous percolation.
Phase 0: feasibility only
Before writing a production codebase, answer:
Deliverable
A short feasibility note with a concrete theorem statement of the form that could actually be certified, including all constants from the chosen finite-size criterion and a power/cost estimate.
Only open a production implementation if the resulting bound would be scientifically meaningful relative to effort.
Possible outcome classes
Priority
P2. This should not delay #43/#57. It is included because a theorem-level side result would diversify the project beyond asymptotic model selection.