{
  "schemaVersion": "1.6",
  "slug": "extremes-do-not-always-maximise",
  "title": "Extremes do not always maximise: a minimal monotone reversible counterexample",
  "shortTitle": "Extremes do not always maximise",
  "url": "https://evidencepress.org/releases/extremes-do-not-always-maximise/",
  "oneLine": "A four-state monotone reversible heat-bath chain is furthest apart at two incomparable states—not its minimum and maximum—at every positive time.",
  "abstract": "For a finite monotone reversible Markov chain with a unique minimum and maximum state, must those two extremes maximise the total-variation distance between time-t laws? This anonymous, unrefereed candidate answers the general question negatively with a cardinality-minimal four-state example. On the Boolean diamond, random-scan single-site heat-bath dynamics with Gibbs weights (1,1/2,2,1) is irreducible, aperiodic, reversible and monotone. For every integer t at least one, the incomparable pair has row total variation (2/3)(1/2)^(t-1), while the extremal and all adjacent pairs have distance (1/2)^t. The candidate also classifies the endpoint-symmetric family (1,b,c,1) under bc at most one and proves that no poset with unique bottom and top and at most three states can furnish such a failure. Exact producer replay, negative controls, a separate producer encoding, public multi-version CI, fresh-extraction checks and an internal five-role review pass. The separate zero-field Ising question on every graph remains open, and novelty, priority, independent reconstruction, formal verification, external specialist review and peer review are not established.",
  "datePublished": "2026-08-29",
  "dateModified": "2026-08-29",
  "version": "0.2.0-candidate",
  "doi": "10.5281/zenodo.22163995",
  "doiUrl": "https://doi.org/10.5281/zenodo.22163995",
  "conceptDoi": "10.5281/zenodo.22163994",
  "pdfUrl": "https://github.com/ipitchford/extremes-do-not-always-maximise/releases/download/v0.2.0-candidate/extremes-do-not-always-maximise-v0.2.0-candidate.pdf",
  "altPdfUrl": "https://zenodo.org/records/22163995/files/extremes-do-not-always-maximise-v0.2.0-candidate.pdf?download=1",
  "altPdfLabel": null,
  "zenodoUrl": "https://zenodo.org/records/22163995",
  "repoUrl": "https://github.com/ipitchford/extremes-do-not-always-maximise",
  "releaseUrl": "https://github.com/ipitchford/extremes-do-not-always-maximise/releases/tag/v0.2.0-candidate",
  "markdownUrl": "https://evidencepress.org/releases/extremes-do-not-always-maximise/index.md",
  "bibtexUrl": "https://evidencepress.org/releases/extremes-do-not-always-maximise/cite.bib",
  "audioUrl": "https://evidencepress.org/assets/audio/extremes-do-not-always-maximise.mp3?v=c32dc0db2a",
  "imageUrl": "https://evidencepress.org/assets/og/extremes-do-not-always-maximise.png?v=aa0541d2e4",
  "coverArtUrl": "https://evidencepress.org/assets/art/extremes-do-not-always-maximise.svg?v=b3bdc20d4b",
  "media": [
    {
      "type": "audio",
      "url": "https://evidencepress.org/assets/audio/extremes-do-not-always-maximise.mp3",
      "name": "Audio briefing — extremes do not always maximise",
      "description": "Plain-English OpenAI API synthetic-voice account of the four-state counterexample, all-time gap, minimality and unresolved zero-field boundary; a communication aid, not additional mathematical evidence.",
      "transcriptUrl": "https://evidencepress.org/assets/audio/extremes-do-not-always-maximise.txt"
    }
  ],
  "authors": [
    "Anonymous"
  ],
  "license": "CC0-1.0",
  "status": "unrefereed-candidate",
  "verification": {
    "peerReviewed": false,
    "independentlyReproduced": false,
    "formallyVerified": false,
    "internallyReplayed": true,
    "detail": "Anonymous, unrefereed theorem candidate at internal PASS_WITH_NOTES. The universal counterexample, family classification and cardinality-minimality claims rest on the written proofs; the programs replay exact formulas and stated finite predicates. The closest 1992 coefficient-of-ergodicity paper could not be inspected in full, so the bounded prior-art search does not establish novelty or priority. No unaffiliated rerun, independent reimplementation, proof-assistant formalisation, external specialist review or editorial peer review has occurred. The zero-field Ising question on every graph and AIM diagnostics 1.6(2) and 1.6(3) remain open."
  },
  "assurance": [
    {
      "dimension": "availability",
      "label": "Availability and archiving",
      "question": "Is the evidence package publicly retrievable from an archive under a persistent identifier?",
      "state": "passed",
      "evidenceUrl": "https://zenodo.org/records/22163995",
      "note": "The tagged GitHub prerelease and published Zenodo record expose the six-page PDF, complete 45-file replay ZIP and checksum ledger; public downloads match the local reviewed assets byte for byte."
    },
    {
      "dimension": "internalReplay",
      "label": "Internal replay",
      "question": "Does the producer’s own pipeline reproduce the stated result from the archived package?",
      "state": "passed",
      "note": "The DOI-bearing tagged commit passed exact family verification, a separate producer cross-check, seven negative controls and the exact bounded zero-field enumeration on Python 3.11 and 3.13, each in ordinary and optimized mode.",
      "evidenceUrl": "https://github.com/ipitchford/extremes-do-not-always-maximise/actions/runs/33263365120"
    },
    {
      "dimension": "independentRerun",
      "label": "Independent rerun",
      "question": "Has someone else run the supplied implementation and obtained the stated result?",
      "state": "not-assessed",
      "note": "No unaffiliated party has reported rerunning the immutable package in a separately provisioned environment."
    },
    {
      "dimension": "independentReimplementation",
      "label": "Independent reimplementation",
      "question": "Has someone else reached the result from an independent implementation?",
      "state": "not-assessed",
      "note": "The second exact encoding was produced within the same coordinated research process and is not an independent reconstruction."
    },
    {
      "dimension": "formalVerification",
      "label": "Formal verification",
      "question": "Is a formalised statement machine-checked, and over which trusted base?",
      "state": "not-assessed",
      "note": "No proof assistant formalises the all-time formulas, monotonicity argument, family classification or three-state minimality theorem."
    },
    {
      "dimension": "specialistReview",
      "label": "Specialist review",
      "question": "Has a domain specialist assessed the argument?",
      "state": "not-assessed",
      "note": "The five-role review and exact-byte confirmation were internal AI editorial quality control, not unaffiliated probability or Markov-chain specialist review."
    },
    {
      "dimension": "editorialPeerReview",
      "label": "Editorial peer review",
      "question": "Has a journal or venue run peer review to a decision?",
      "state": "not-assessed",
      "note": "No journal or comparable venue has conducted editorial peer review to a decision."
    },
    {
      "dimension": "dataEnvironmentReproducibility",
      "label": "Data and environment reproducibility",
      "question": "Are data and computational environment pinned well enough to rebuild?",
      "state": "partial",
      "evidenceUrl": "https://github.com/ipitchford/extremes-do-not-always-maximise/blob/v0.2.0-candidate/ENVIRONMENT.txt",
      "note": "The exact verifiers use the Python 3.11-or-later standard library and public CI spans Python 3.11 and 3.13; the deterministic PDF toolchain is recorded, but no unaffiliated clean-environment reconstruction is reported."
    }
  ],
  "provenance": {
    "aiGenerated": true,
    "aiAssisted": true,
    "generatedBy": [
      "AI systems under human direction",
      "OpenAI Codex",
      "Python 3 standard library"
    ],
    "humanRole": "Problem selection, research direction, source selection, claim-boundary decisions, publication authorisation and institutional responsibility by the human creator; repository maintenance and Evidence Press publication are not scholarly authorship, and scholarly attribution remains Anonymous.",
    "disclosure": "AI systems contributed mathematical search, exact computation, proof drafting, source auditing, internal role-separated review, editing, replay and release engineering within one producer-coordinated workflow. A separate producer encoding, cross-model review and public CI are not independent reconstruction, external specialist review or editorial peer review."
  },
  "attributionBoundary": null,
  "problem": {
    "name": "AIM Problem 1.6(1): extremal starts in monotone reversible chains",
    "url": "http://aimpl.org/markovmixing/1/"
  },
  "orderedProductAverage": null,
  "corrections": [],
  "publicCorrections": [],
  "publicCorrectionIndexes": null,
  "pageStructureVersion": "2.0",
  "pageStructureVariant": "negative-result",
  "pageStructureWaivers": [],
  "recordMaturity": "current",
  "metadataProvenance": "Authored prospectively for reader-first schema 2.0 against the confirmed scientific bytes, immutable GitHub tag, public CI, published Zenodo identities and producer-organised internal PASS_WITH_NOTES record.",
  "grandfatheredAtSchemaVersion": null,
  "keywords": [
    "Markov chains",
    "monotone Markov chain",
    "reversible Markov chain",
    "total variation",
    "Glauber dynamics",
    "heat-bath dynamics",
    "coefficient of ergodicity",
    "counterexample",
    "exact computation",
    "unrefereed candidate"
  ],
  "keyResults": [
    "For Gibbs weights (1,1/2,2,1) on the Boolean diamond, random-scan single-site heat-bath dynamics is irreducible, aperiodic, reversible and monotone.",
    "For every integer t at least one, the incomparable pair (10,01) uniquely maximises row total variation at (2/3)(1/2)^(t-1); the extremal and four adjacent pairs all have distance (1/2)^t.",
    "For endpoint-symmetric weights (1,b,c,1) with b,c positive and bc at most one, the candidate gives exact all-time formulas for extremal, incomparable and adjacent row distances and classifies when the maximiser switches.",
    "No monotone chain on a poset with unique minimum and maximum and at most three states can violate extremal row-TV maximisation; reversibility is not needed for this cardinality-minimality argument.",
    "An exact bounded screen found no zero-field Ising failure among all 43 connected labelled simple graphs on two through four vertices over five stated temperatures and times one through six; this is not an all-graph theorem."
  ],
  "reviews": [],
  "evidencePackage": "A six-page candidate manuscript and accessible Markdown; exact rational verification of the Gibbs-to-kernel construction, stochasticity, irreducibility, aperiodicity, detailed balance, monotonicity and all-time formulas; a separately structured producer cross-check; seven targeted negative controls; exact bounded zero-field enumeration over 43 connected labelled simple graphs, 215 graph-temperature trajectories, 1,290 kernel powers and 140,340 unordered row-pair comparisons; a deterministic two-pass PDF build; an exact 45-file manifest; fresh-extraction passage of 18 release gates; source-correspondence and bounded novelty reports; five producer-organised review roles plus exact-byte confirmation; and public GitHub Actions passage on Python 3.11 and 3.13 in ordinary and optimized mode. These establish public availability, integrity and producer-side replay, not independent mathematical validation, exhaustive novelty or peer review.",
  "openProblems": [
    "Determine whether the extremal pair always realises row-TV diameter for zero-field ferromagnetic Ising heat-bath dynamics on every finite graph.",
    "Obtain an unaffiliated Markov-chain specialist reconstruction of the four-state proof, family classification, source mapping and cardinality-minimality argument.",
    "Inspect Pflug and Schachermayer's 1992 coefficient-of-ergodicity article lawfully in full and conduct a broader specialist novelty and priority audit under alternative terminology.",
    "Formalise the Boolean-diamond kernel, stochastic monotonicity, exact powers and three-state CDF argument in a proof assistant.",
    "Address AIM Problem 1.6 diagnostics (2) and (3), which are not answered by this counterexample."
  ],
  "mathObjects": [
    {
      "id": "four-state-row-tv-counterexample",
      "kind": "counterexample",
      "label": "Four-state all-time row-TV counterexample",
      "plainText": "For weights (1,1/2,2,1), the incomparable row distance is (2/3)(1/2)^(t-1) and the extremal distance is (1/2)^t for every integer t at least 1.",
      "latex": "d_{\\mathrm{TV}}(P^t(10,\\cdot),P^t(01,\\cdot))=\\frac23\\left(\\frac12\\right)^{t-1}>\\left(\\frac12\\right)^t=d_{\\mathrm{TV}}(P^t(00,\\cdot),P^t(11,\\cdot))",
      "status": "claimed-result",
      "scope": "The specified random-scan two-spin heat-bath chain; the scholarly object is an anonymous unrefereed candidate with producer-side replay, not an independently validated theorem."
    }
  ],
  "relatedWorks": [
    {
      "citation": "AIM Problem Lists. Markov chain mixing times, Problem 1.6.",
      "url": "http://aimpl.org/markovmixing/1/",
      "doi": null
    },
    {
      "citation": "Peres, Y., & Winkler, P. (2013). Can extra updates delay mixing? Communications in Mathematical Physics, 323, 1007-1016.",
      "url": "https://arxiv.org/abs/1112.0603",
      "doi": "10.48550/arXiv.1112.0603"
    },
    {
      "citation": "Fill, J. A., & Kahn, J. (2013). Comparison inequalities and fastest-mixing Markov chains. Annals of Applied Probability, 23, 1778-1816.",
      "url": "https://doi.org/10.1214/12-AAP886",
      "doi": "10.1214/12-AAP886"
    },
    {
      "citation": "Pflug, G. C., & Schachermayer, W. (1992). A remark on the coefficient of ergodicity. Probability Theory and Related Fields, 93, 283-293.",
      "url": "https://doi.org/10.2307/3214717",
      "doi": "10.2307/3214717"
    },
    {
      "citation": "Qin, Q. (2025). Analysis of two-component Gibbs samplers using the theory of two projections. Annals of Applied Probability, 35, 891-921.",
      "url": "https://doi.org/10.1214/24-AAP2066",
      "doi": "10.1214/24-AAP2066"
    }
  ],
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      "description": "A cardinality-minimal four-state monotone reversible heat-bath counterexample, together with an exact endpoint-symmetric two-spin family classification.",
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      "remainingRisks": [
        "The closest 1992 coefficient-of-ergodicity article could not be inspected beyond its publisher abstract, bibliography and cited-by records.",
        "No unaffiliated specialist has assessed the proof or source map.",
        "The all-graph zero-field Ising question remains open."
      ]
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    "humanJudgmentGates": [
      "Assess the universal written proofs rather than inferring them from finite replay.",
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      "nextAction": "Obtain unaffiliated specialist review and lawful full-text comparison with Pflug and Schachermayer before any novelty or priority upgrade.",
      "claimCeiling": "Unrefereed theorem candidate with producer-side exact replay, a separate producer cross-check and internal editorial review; not an all-graph zero-field result, independent reproduction, formal proof, specialist review, external peer review, novelty or priority claim."
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        "aim": "science",
        "outcome": "More reliable evaluation of extremal-start row-diameter claims",
        "setting": "Finite monotone reversible Markov chains and two-spin heat-bath dynamics",
        "status": "NO_IMPACT_EVIDENCE",
        "designClass": "none",
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        "estimand": "No effect on discovery time, error rate, review effort, theorem production, adoption or citation was estimated.",
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