Data · dataset · 2026
Exact memory requirements for retaining path irreversibility in finite Markov systems
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<p dir="ltr">Coarse-graining can preserve a dynamical task while losing the irreversibility of a realized trajectory.
Description
We study the additional information that must remain after labeled jumps have been read and discarded, so that the accumulated path log-likelihood ratio can be reconstructed exactly and updated under subsequent inputs. For a fixed product of homogeneous three-state rings with positive rational rates and a uniform stationary initial law, this question reduces to an integer-current coding problem.
Given the total jump count m, and no other history-dependent side information, the exact number of required output classes is C_E(m) = |E S_d(m)|, where E is the prime-exponent matrix of the rate ratios and S_d(m) is the reachable current set. If r = rank_Q E, the minimum additional fixed-length code uses r log₂(m+1) + O_E(1) bits. A recursive counter representation attains this leading term.
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For two rationally independent logarithmic affinities, we construct an exact recursive code for the (m+1)² classes. Established relative-entropy identities place these results within coarse-grained stochastic thermodynamics and separate realized-value retention from preservation of mean dissipation or fluctuation statistics. The bounds concern a conditional representation with a symbolic output; event-count storage, working space, model constants, and physical implementation costs are separate.
Exact finite checks support the constructions but do not replace the proofs.</p><p><br></p><p dir="ltr">This item contains the preprint PDF and a reproducibility archive with manuscript sources, unchanged finite-check code, expected outputs, and verification instructions.</p>
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Where it is published
- DOI doi.org/10.6084/m9.figshare.34023840.v1 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34023840 | 5 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].anzsrc:field:510304 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Thermodynamics and statistical physics'] |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:physics | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |