{
  "id": "2108.00680",
  "version": "v1",
  "published": "2021-08-02T07:27:01.000Z",
  "updated": "2021-08-02T07:27:01.000Z",
  "title": "On Game Theory Using Stochastic Tail Orders",
  "authors": [
    "Stefan Rass",
    "Sandra König",
    "Stefan Schauer",
    "Vincent Bürgin",
    "Jeremias Epperlein",
    "Fabian Wirth"
  ],
  "categories": [
    "math.PR"
  ],
  "abstract": "We consider a family of distributions on which natural tail orders can be constructed upon a representation of a distribution by a (single) hyper-real number. Past research revealed that the ordering can herein strongly depend on the particular model of the hyperreals, specifically the underlying ultrafilter. Hence, our distribution family is constructed to order invariantly of an ultrafilter. Moreover, we prove that it lies dense in the set of all distributions with the (same) compact support, w.r.t. the supremum norm. Overall, this work resents a correction to [10, 12], in response to recent findings of [2].",
  "revisions": [
    {
      "version": "v1",
      "updated": "2021-08-02T07:27:01.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "stochastic tail orders",
      "game theory",
      "distribution",
      "natural tail orders",
      "hyper-real number"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}