{ "id": "0806.3126", "version": "v2", "published": "2008-06-19T16:48:01.000Z", "updated": "2008-09-28T06:46:15.000Z", "title": "Laws of the iterated logarithm for a class of iterated processes", "authors": [ "Erkan Nane" ], "comment": "13 pages", "journal": "Statistics & Probability Letters, Volume 79, Issue 16, 15 August 2009, Pages 1744-1751", "doi": "10.1016/j.spl.2009.04.013", "categories": [ "math.PR" ], "abstract": "Let $X=\\{X(t), t\\geq 0\\}$ be a Brownian motion or a spectrally negative stable process of index $1<\\a<2$. Let $E=\\{E(t),t\\geq 0\\}$ be the hitting time of a stable subordinator of index $0<\\beta<1$ independent of $X$. We use a connection between $X(E(t))$ and the stable subordinator of index $\\beta/\\a$ to derive information on the path behavior of $X(E_t)$. This is an extension of the connection of iterated Brownian motion and (1/4)-stable subordinator due to Bertoin \\cite{bertoin}. Using this connection, we obtain various laws of the iterated logarithm for $X(E(t))$. In particular, we establish law of the iterated logarithm for local time Brownian motion, $X(L(t))$, where $X$ is a Brownian motion (the case $\\a=2$) and $L(t)$ is the local time at zero of a stable process $Y$ of index $1<\\gamma\\leq 2$ independent of $X$. In this case $E(\\rho t)=L(t)$ with $\\beta=1-1/\\gamma$ for some constant $\\rho>0$. This establishes the lower bound in the law of the iterated logarithm which we could not prove with the techniques of our paper \\cite{MNX}. We also obtain exact small ball probability for $X(E_t)$ using ideas from \\cite{aurzada}.", "revisions": [ { "version": "v2", "updated": "2008-09-28T06:46:15.000Z" } ], "analyses": { "subjects": [ "60J65", "60K99" ], "keywords": [ "iterated logarithm", "iterated processes", "exact small ball probability", "local time brownian motion", "stable subordinator" ], "tags": [ "journal article" ], "note": { "typesetting": "TeX", "pages": 13, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2008arXiv0806.3126N" } } }