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  "title": "Every projection passes. The joint comparison fails.",
  "shortTitle": "Three Gaussian components break projection tests",
  "url": "https://evidencepress.org/releases/three-gaussian-projection-counterexample/",
  "oneLine": "A centred Gaussian and a three-component Gaussian mixture pass every one-dimensional convex-order test, yet an explicit joint convex function separates them.",
  "abstract": "An exact planar construction separates projected from joint convex order for a centred Gaussian compared with three centred Gaussian components. The written proof covers every projection direction, gives a strictly positive rational lower bound for a six-plane convex witness, and preserves the counterexample after adding a specified positive covariance to every component. An explicit family explains how directional scale and probability allocation separate. Numerical quadrature is diagnostic only.",
  "datePublished": "2026-10-10",
  "dateModified": "2026-10-10",
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  "doi": "10.5281/zenodo.23284191",
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      "note": "Exact identities, two numerical diagnostics and wrong-weight/wrong-gap controls pass normally and under optimized Python. The continuum claim rests on written proof.",
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  "attributionBoundary": null,
  "problem": {
    "name": "Does projected convex order suffice for three centred Gaussian components?",
    "url": "https://arxiv.org/abs/2610.07404"
  },
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  "keywords": [
    "convex order",
    "Gaussian mixtures",
    "projection tests",
    "multivariate stochastic orders"
  ],
  "keyResults": [
    "Every projection direction passes the convex-order comparison; an exact joint witness reverses it.",
    "Witness expectation gap is strictly greater than 37/18432.",
    "The failure persists with positive definite covariance matrices, with an explicit positive lower bound."
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  "evidencePackage": "Written all-directions proof; exact rational checks; two numerical implementations and semantic corruption controls; supplied model-assisted review and itemised response.",
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  "relatedWorks": [
    {
      "citation": "Guéant (2026), Convex Order Beyond Dimension One: Theorem 4 proves the two-component case; Section 4 leaves larger mixtures open.",
      "url": "https://arxiv.org/abs/2610.07404",
      "doi": "10.48550/arXiv.2610.07404"
    },
    {
      "citation": "Jourdain and Pagès, Convex comparison of Gaussian mixtures: inspected arXiv v1, Theorem 1.1; final journal body not inspected.",
      "url": "https://arxiv.org/abs/2410.07958v1",
      "doi": "10.48550/arXiv.2410.07958"
    },
    {
      "citation": "Koshevoy and Mosler (1998), Lift zonoids, random convex hulls and the variability of random vectors: classical weaker projection order.",
      "url": "https://wisostat.uni-koeln.de/sites/dep_econometrics/pdf_publikationen/1998_KoshevoyM98.pdf",
      "doi": null
    },
    {
      "citation": "Pinelis, explicit finite-support failure of projection sufficiency; inspected arXiv v3.",
      "url": "https://arxiv.org/abs/2510.04269v3",
      "doi": "10.48550/arXiv.2510.04269"
    }
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