Samplinglib
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Discrete Sampling Library

Discrete Sampling

Ising / Glauber dynamics, hard-core models, colourings and matroids. Finite state spaces—not Euler discretization of continuous sampling.

Statuschapter environment established Primary source ↗
Formalization contract

Map first, reuse first, prove only real gaps.

Search Samplinglib, Mathlib and compatible upstreams before defining anything. Reuse one shared probability/Dirichlet/entropy floor, keep finite-state adapters explicit, and publish conceptual mirrors through the independent-review protocol.

reuseadaptmissingout of scope
Book contents

Chapter scaffolds

01
scaffold

Introduction

Source section 1 · printed/PDF p. 4. Source map, not Lean completion.

07
scaffold

Matroids

Source section 7 · printed/PDF p. 47. Source map, not Lean completion.

08
scaffold

Trickle-Down Theorem

Source section 8 · printed/PDF p. 50. Source map, not Lean completion.

Primary source and supplementary roles

Spectral Independence and Local-to-Global Techniques for Optimal Mixing of Markov Chains — Zongchen Chen, Daniel Štefankovič, Eric Vigoda. arXiv:2307.13826v4; 100 pages. This is a modern spectral-independence monograph, not an exhaustive book on every discrete sampler.

arXiv submission v4 is dated September 16; downloaded PDF title page reads September 18, 2025. Use the version and byte fingerprint, not date alone.

PDF SHA-256: 3cc2f911b33bb5538157ef8a70f0c7e0f3c812ecd06dc9c1d5ea0bfdae11a52a

Levin–Peres, with contributions by Wilmer: Markov Chains and Mixing Times, 2nd ed. (2017)

background textbook · Basic finite chains, coupling, spectral analysis and mixing-time lower bounds; not claimed to have an arXiv edition.

Source ↗

Hugo Duminil-Copin: Lectures on the Ising and Potts models on the hypercubic lattice

model-background lecture notes · Ising/Potts equilibrium, finite/infinite volume and phase transitions. Not a replacement for a rapid-mixing proof.

Source ↗

Blanca et al.: On Mixing of Markov Chains: Coupling, Spectral Independence, and Entropy Factorization

primary proof supplement · Pin theorem/version for coupling-to-SI and entropy-factorization adapters; preserve all assumptions.

Source ↗

Chen–Liu–Vigoda: Optimal Mixing of Glauber Dynamics: Entropy Factorization via High-Dimensional Expansion

primary proof supplement · Source-specific entropy factorization and spin-system mixing proofs; audit cited statement, not just title.

Source ↗

Jan Maas: Gradient flows of the entropy for finite Markov chains

conceptual transport source · Finite reversible irreducible chains and a chain-dependent logarithmic-mean transport metric; not ordinary W2 on a finite set.

Source ↗

Start with the shared floor, not page order

Read §§1.1–1.3 and pull §3 forward for kernels, reversibility, Dirichlet forms and gap. Read §12.1 model definitions early for Ising; advanced mixing waits for exact proof prerequisites. Then branch through §2/§4.1 pinnings, §§4–6 local-to-global and entropy, or §§7–8 matroids.

Finite kernels do not wait for SDEs, spatial derivatives or manifold calculus. Shared scalar decay and probability algebra are reusable; a chain-dependent metric or finite-jump dissipation identity needs its own adapter.

Discrete Sampling Route · Functor Hypergraph · Lean Branches

Known source boundaries

Section 12 states Ising/colouring extensions without their proofs. Follow each cited original paper and keep model/temperature/field/degree assumptions. The general update at §1.3 p.5 also has a copy-index discrepancy between its formula and prose: a correction is a recorded repair candidate, not a silent rewrite.

Contributor protocol and clock contract ↗

All twelve pages are scaffolds. New conceptual bridges are explicitly candidate, awaiting independent review; none is a Lean-certified functor.

Read the supporting proofs

Mathematical derivations with optional Lean and source details.