Repository navigation
Formal: entropy production for Markov-chain path laws, Schnakenberg form, reversed-kernel duality (FORM-S6) - #163
Merged
Merged
Conversation
…form, biased-cycle witness
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Refs #89 (FORM-S6). Not closing: fep-094/098/099 dispositions change only after independent review. This unblocks FORM-S5 (#88), the Landauer bound for biased bits.
FinitePathProtocolwas an arbitrary pair of laws, and fep-094's primary equality was a definition. New inpath_thermodynamics.lean(existing declarations unchanged):markovPathLaw K π₀ nonFin (n+1) → Shas massπ₀(x₀)∏K(xₜ,xₜ₊₁), proved normalised byFin.snocinduction.markovPathProtocolwraps it as aFinitePathProtocol, so the existingentropyProductionnow applies to a concrete construction.entropyProduction_markov_decompositiongives path KL as the expected boundary term plus the sum of expected stage log-ratios. The one-step forms are explicit.reversedKernelisK†_ab = π_b K_ba / π_a.markovReverseMass_reversedKernel: for every n, the reverse-driven chain under K† reproduces the forward path law, by telescoping. So that protocol has zero entropy production.entropyProduction_markov_schnakenberg:∑ πᵢKᵢⱼ log(πᵢKᵢⱼ/(πⱼKⱼᵢ)).localAffinity.IsReversibleit is exactly zero (fep-098), with no support hypothesis.Not covered: detailed-balance zero for general n is not stated separately; it follows from item 3. Schnakenberg needs full support, and a zero edge is the totalized-log boundary already documented in the module.
Evidence:
lake --wfail build FepSketchespasses, and every axiom set is the standard three.--checkpasses, as do the receipt,theorem_ref_auditand orphan checks.