{ "id": "1304.0189", "version": "v1", "published": "2013-03-31T11:20:40.000Z", "updated": "2013-03-31T11:20:40.000Z", "title": "Fractional Non-Linear, Linear and Sublinear Death Processes", "authors": [ "Enzo Orsingher", "Federico Polito", "Ludmila Sakhno" ], "journal": "Journal of Statistical Physics, Vol. 141 (1), 68-93, 2010", "doi": "10.1007/s10955-010-0045-2", "categories": [ "math.PR" ], "abstract": "This paper is devoted to the study of a fractional version of non-linear $\\mathpzc{M}^\\nu(t)$, $t>0$, linear $M^\\nu (t)$, $t>0$ and sublinear $\\mathfrak{M}^\\nu (t)$, $t>0$ death processes. Fractionality is introduced by replacing the usual integer-order derivative in the difference-differential equations governing the state probabilities, with the fractional derivative understood in the sense of Dzhrbashyan--Caputo. We derive explicitly the state probabilities of the three death processes and examine the related probability generating functions and mean values. A useful subordination relation is also proved, allowing us to express the death processes as compositions of their classical counterparts with the random time process $T_{2 \\nu} (t)$, $t>0$. This random time has one-dimensional distribution which is the folded solution to a Cauchy problem of the fractional diffusion equation.", "revisions": [ { "version": "v1", "updated": "2013-03-31T11:20:40.000Z" } ], "analyses": { "keywords": [ "sublinear death processes", "fractional non-linear", "state probabilities", "fractional diffusion equation", "random time process" ], "tags": [ "journal article" ], "publication": { "journal": "Journal of Statistical Physics", "year": 2010, "month": "Oct", "volume": 141, "number": 1, "pages": 68 }, "note": { "typesetting": "TeX", "pages": 0, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2010JSP...141...68O" } } }