{
  "id": "1905.08162",
  "version": "v1",
  "published": "2019-05-20T15:10:57.000Z",
  "updated": "2019-05-20T15:10:57.000Z",
  "title": "Equivalent symmetric kernels of determinantal point processes",
  "authors": [
    "Marco Stevens"
  ],
  "comment": "8 pages",
  "categories": [
    "math.CA",
    "math-ph",
    "math.MP"
  ],
  "abstract": "Determinantal point processes are point processes whose correlation functions are given by determinants of matrices. The entries of these matrices are given by one fixed function of two variables, which is called the kernel of the point process. It is well-known that there are different kernels that induce the same correlation functions. We classify all the possible transformations of a kernel that leaves the induced correlation functions invariant, restricting to the case of symmetric kernels.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2019-05-20T15:10:57.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "determinantal point processes",
      "equivalent symmetric kernels",
      "induced correlation functions invariant",
      "transformations"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 8,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}