{ "id": "1706.03975", "version": "v1", "published": "2017-06-13T09:45:59.000Z", "updated": "2017-06-13T09:45:59.000Z", "title": "A note on critical Hawkes processes", "authors": [ "Matthias Kirchner" ], "comment": "8 pages", "categories": [ "math.PR" ], "abstract": "Let $F$ be a distribution function on $\\mathbb{R}$ with $F(0) = 0 $ and density $f$. Let $\\tilde{F}$ be the distribution function of $X_1 - X_2$, $X_i\\sim F,\\, i=1,2,\\text{ iid}$. We show that for a critical Hawkes process with displacement density (= `excitement function' = `decay kernel') $f$, the random walk induced by $\\tilde{F}$ is necessarily transient. Our conjecture is that this condition is also sufficient for existence of a critical Hawkes process. Our train of thought relies on the interpretation of critical Hawkes processes as cluster-invariant point processes. From this property, we identify the law of critical Hawkes processes as a limit of independent cluster operations. We establish uniqueness, stationarity, and infinite divisibility. Furthermore, we provide various constructions: a Poisson embedding, a representation as Hawkes process with renewal immigration, and a backward construction yielding a Palm version of the critical Hawkes process. We give specific examples of the constructions, where $F$ is regularly varying with tail index $\\alpha\\in(0,0.5)$. Finally, we propose to encode the genealogical structure of a critical Hawkes process with Kesten (size-biased) trees. The presented methods lay the grounds for the open discussion of multitype critical Hawkes processes as well as of critical integer-valued autoregressive time series.", "revisions": [ { "version": "v1", "updated": "2017-06-13T09:45:59.000Z" } ], "analyses": { "keywords": [ "distribution function", "multitype critical hawkes processes", "construction", "cluster-invariant point processes", "independent cluster operations" ], "note": { "typesetting": "TeX", "pages": 8, "language": "en", "license": "arXiv", "status": "editable" } } }