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          <dc:title>Exact memory requirements for retaining path irreversibility in finite Markov systems</dc:title>
          <dc:creator>Satoshi Kawasaki (24726982)</dc:creator>
          <dc:subject>Thermodynamics and statistical physics</dc:subject>
          <dc:subject>stochastic thermodynamics</dc:subject>
          <dc:subject>coarse-graining</dc:subject>
          <dc:subject>path irreversibility</dc:subject>
          <dc:subject>exact coding</dc:subject>
          <dc:subject>Markov jump processes</dc:subject>
          <dc:subject>memory requirements</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;Coarse-graining can preserve a dynamical task while losing the irreversibility of a realized trajectory. 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. 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.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;This item contains the preprint PDF and a reproducibility archive with manuscript sources, unchanged finite-check code, expected outputs, and verification instructions.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-29T16:10:52Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Preprint</dc:type>
          <dc:identifier>10.6084/m9.figshare.34023840.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/preprint/Exact_memory_requirements_for_retaining_path_irreversibility_in_finite_Markov_systems/34023840</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
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