{
  "id": "1812.01470",
  "version": "v1",
  "published": "2018-12-04T14:59:10.000Z",
  "updated": "2018-12-04T14:59:10.000Z",
  "title": "Nonlinear transport coefficients from large deviation functions",
  "authors": [
    "Chloe Ya Gao",
    "David T. Limmer"
  ],
  "comment": "9 pages, 3 figures",
  "categories": [
    "cond-mat.stat-mech",
    "physics.chem-ph"
  ],
  "abstract": "We introduce a way to compute arbitrarily high order transport coefficients of stochastic systems, using the framework of large deviation theory. Leveraging time reversibility in the microscopic dynamics, we relate nonlinear response to equilibrium multi-time correlation functions among both time reversal symmetric and asymmetric observables, which can be evaluated from derivatives of large deviation functions. This connection establishes a thermodynamic-like relation for nonequilibrium response and provides a practical route to its evaluation, as large deviation functions are amenable to importance sampling. We demonstrate the generality and efficiency of this method in predicting transport coefficients in single particle systems and an interacting system exhibiting thermal rectification.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2018-12-04T14:59:10.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "large deviation functions",
      "nonlinear transport coefficients",
      "system exhibiting thermal rectification",
      "arbitrarily high order transport coefficients",
      "equilibrium multi-time correlation functions"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 9,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}