{ "id": "1802.03834", "version": "v1", "published": "2018-02-11T22:48:32.000Z", "updated": "2018-02-11T22:48:32.000Z", "title": "Continuum directed random polymers on disordered hierarchical diamond lattices", "authors": [ "Jeremy Clark" ], "comment": "25 pages, 1 figure", "categories": [ "math.PR" ], "abstract": "I discuss a family of models for a continuum directed random polymer in a disordered environment in which the polymer lives on a fractal, $D^{b,s}$, called the \\textit{diamond hierarchical lattice}. The diamond hierarchical lattice is a compact, self-similar metric space forming a network of interweaving pathways (continuum polymers) connecting a beginning node, $A$, to a termination node, $B$. This fractal depends on a branching parameter $b\\in \\{2,3,\\cdots\\}$ and a segmenting number $s\\in \\{2,3,\\cdots\\}$, and there is a canonical uniform probability measure $\\mu$ on the collection of directed paths, $\\Gamma^{b,s}$, for which the intersection set of two randomly chosen paths is almost surely either finite or of Hausdorff dimension $(\\log s -\\log b)/\\log s$ when $s\\geq b$. In the case $s>b$, my focus is on random measures on the set of directed paths that can be formulated as a subcritcal Gaussian multiplicative chaos measure with expectation $\\mu$. When normalized, this random path measure is analogous to the continuum directed random polymer (CDRP) introduced by Alberts, Khanin, Quastel [Journal of Statistical Physics 154, 305-326 (2014)], which is formally related to the stochastic heat equation for a $(1+1)$-dimension polymer.", "revisions": [ { "version": "v1", "updated": "2018-02-11T22:48:32.000Z" } ], "analyses": { "keywords": [ "continuum directed random polymer", "disordered hierarchical diamond lattices", "subcritcal gaussian multiplicative chaos measure", "random path measure" ], "note": { "typesetting": "TeX", "pages": 25, "language": "en", "license": "arXiv", "status": "editable" } } }