{
  "id": "1509.08580",
  "version": "v1",
  "published": "2015-09-29T03:31:21.000Z",
  "updated": "2015-09-29T03:31:21.000Z",
  "title": "Spectral analysis of random-to-random Markov chains",
  "authors": [
    "A. B. Dieker",
    "Franco Saliola"
  ],
  "comment": "50 pages; 11 figures",
  "categories": [
    "math.CO",
    "math.PR",
    "math.RT"
  ],
  "abstract": "We compute the eigenvalues and eigenspaces of random-to-random Markov chains. We use a family of maps which reveal a remarkable recursive structure of the eigenspaces, yielding an explicit and effective construction of all eigenbases starting from bases of the kernels.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2015-09-29T03:31:21.000Z"
    }
  ],
  "analyses": {
    "subjects": [
      "60J10",
      "20C30",
      "05E99"
    ],
    "keywords": [
      "random-to-random markov chains",
      "spectral analysis",
      "eigenspaces",
      "eigenvalues",
      "recursive structure"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 50,
      "language": "en",
      "license": "arXiv",
      "status": "editable",
      "adsabs": "2015arXiv150908580D"
    }
  }
}