The scaling conjecture for Lyapunov exponents of the voter model on a catalyst

From papers

Let pt(x,y)p_t(x,y) be the transition probability at time tt for the rate-one random walk with kernel p(,)p(,), and let \blambdap(κ)\blambda_p(\kappa) denote the associated Lyapunov exponent. Suppose that p(,)p(,) is a simple random walk. Define

Gd=0pt(0,0)dt,Gd=0tpt(0,0)dt.G_d=\int_0^\infty p_t(0,0)\,dt,\qquad G_d^\ast=\int_0^\infty t p_t(0,0)\,dt.

Also define

P5=supfH1(R5), f2=1[R5R5f2(x)f2(y)16π2xydxdyf22](0,),\mathcal{P}_5=\sup_{f\in H^1(\mathbb{R}^5),\ \|f\|_2=1}\left[\int_{\mathbb{R}^5}\int_{\mathbb{R}^5}\frac{f^2(x)f^2(y)}{16\pi^2\|x-y\|}\,dx\,dy-\|\nabla f\|_2^2\right]\in(0,\infty),

where H1(R5)={f:R5R:f,fL2(R5)}H^1(\mathbb{R}^5)=\{f:\mathbb{R}^5\to\mathbb{R}:f,\nabla f\in L^2(\mathbb{R}^5)\}. The scaling conjecture. For all d5d\geq5, pNp\in\mathbb{N}, γ(0,)\gamma\in(0,\infty) and ρ(0,1)\rho\in(0,1),

limκ2dκ[λp(κ)ργ]=ρ(1ρ)γ2GdGd+1{d=5}(2d)5[ρ(1ρ)γ2Gdp]2P5.\lim_{\kappa\to\infty}2d\kappa[\lambda_p(\kappa)-\rho\gamma]=\frac{\rho(1-\rho)\gamma^2}{G_d}G_d^\ast+1_{\{d=5\}}(2d)^5\left[\frac{\rho(1-\rho)\gamma^2}{G_d}p\right]^2\mathcal{P}_5.

This refines the stated asymptotic result for the Lyapunov exponent and predicts the dimension-five correction through the variational constant P5\mathcal{P}_5.

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Sources & referencesView supporting material

Primary source

J. Gärtner, F. den Hollander and G. Maillard, “Intermittency on catalysts: Voter model”, arXiv:0908.2907 (2010).

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