{
  "id": "1807.03637",
  "version": "v1",
  "published": "2018-07-10T13:39:27.000Z",
  "updated": "2018-07-10T13:39:27.000Z",
  "title": "Stochastic evolution of genealogies of spatial populations: state description, characterization of dynamics and properties",
  "authors": [
    "Andrej Depperschmidt",
    "Andreas Greven"
  ],
  "comment": "24 pages.Contribution to the volume of the IMS lecture notes series. Program \"Genealogies of interacting particle systems\" in Singapore 2017",
  "categories": [
    "math.PR"
  ],
  "abstract": "We survey results on the description of stochastically evolving genealogies of populations and marked genealogies of multitype populations or spatial populations via tree-valued Markov processes on (marked) ultrametric measure spaces. In particular we explain the choice of state spaces and their topologies, describe the dynamics of genealogical Fleming-Viot and branching models by well-posed martingale problems, and formulate the typical results on the longtime behaviour. Furthermore we discuss the basic techniques of proofs and sketch as two key tools of analysis the different forms of duality and the Girsanov transformation.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2018-07-10T13:39:27.000Z"
    }
  ],
  "analyses": {
    "subjects": [
      "60K35",
      "60J25"
    ],
    "keywords": [
      "spatial populations",
      "state description",
      "stochastic evolution",
      "genealogies",
      "characterization"
    ],
    "tags": [
      "lecture notes"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 24,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}