{ "id": "1709.02451", "version": "v1", "published": "2017-09-07T21:04:17.000Z", "updated": "2017-09-07T21:04:17.000Z", "title": "The stability index for dynamically defined Weierstrass functions", "authors": [ "Charles P Walkden", "Tom Withers" ], "comment": "25 pages, 3 figures", "categories": [ "math.DS" ], "abstract": "Let $\\hat{T} : X \\times \\mathbb{R} \\to X \\times \\mathbb{R}$ given by $\\hat{T}(x,t) = (Tx, g_x(t))$ be a skew-product dynamical system where $T : X \\to X$ is a mixing conformal expanding map and, for each $x \\in X$, $g_x : \\mathbb{R} \\to \\mathbb{R}$ is an affine map of the form $g_x(t)=-f(x)+\\lambda(x)^{-1}t$. Under a suitable contraction hypotheses on $\\lambda$ there exists a measurable function $u: X \\to \\mathbb{R}$ such that $\\text{graph}(u) = \\{(x,u(x)) \\mid x\\in X\\}$ is $\\hat{T}$-invariant and divides $X \\times \\mathbb{R}$ into two regions, $\\mathbb{B}^+$ and $\\mathbb{B}^-$, consisting of points that are repelled under iteration by $\\hat{T}$ to $\\pm\\infty$. These two regions act as basins of attraction to $\\pm \\infty$ in the sense of Milnor. The two basins have a complicated local structure: a neighbourhood of a point $(x,t) \\in ^+$ will typically intersect $\\mathbb{B}^-$ in a set of positive measure. The stability index (as introduced by Podvigina and Ashwin \\cite{podviginaashwin:11} for general Milnor attractors) is the rate of polynomial decay of the measure of this intersection. We calculate the stability index at typical points in $X \\times \\mathbb{R}$. We also perform a multifractal analysis of the level sets of the stability index.", "revisions": [ { "version": "v1", "updated": "2017-09-07T21:04:17.000Z" } ], "analyses": { "subjects": [ "37D35", "37D45", "26A30" ], "keywords": [ "stability index", "dynamically defined weierstrass functions", "general milnor attractors", "level sets", "mixing conformal expanding map" ], "note": { "typesetting": "TeX", "pages": 25, "language": "en", "license": "arXiv", "status": "editable" } } }