SearcharxivSearch

arXiv · math/0701689

Shape curvatures and transversal fluctuations in the first passage percolation model

Abstract

We consider the first passage percolation model on the square lattice. In this model, $\{t(e): e{an edge of}{\bf Z}^2 \}$ is an independent identically distributed family with a common distribution $F$. We denote by $T({\bf 0}, v)$ the passage time from the origin to $v$ for $v\in {\bf R}^2$ and $B(t)=\{v\in {\bf R}^d: T({\bf 0}, v)\leq t\}.$ It is well known that if $F(0) < p_c$, there exists a compact shape ${\bf B}_F\subset {\bf R}^2$ such that for all $ε>0$, $t {\bf B}_F(1-ε) \subset {B(t)} \subset t{\bf B}_F(1+ε)$, eventually with a probability 1. For each shape boundary point $u$, we denote its right- and left-curvature exponents by $κ^+(u)$ and $κ^-(u)$. In addition, for each vector $u$, we denote the transversal fluctuation exponent by $ξ(u)$. In this paper, we can show that $ξ(u) \leq 1-\max\{κ^-(u)/2, κ^+(u)/2\}$ for all shape boundary points $u$. To pursue a curvature on ${\bf B}_F$, we consider passage times with a special distribution infsupp$(F)=l$ and $F(l)=p > \vec{p}_c$, where $l$ is a positive number and $\vec{p}_c$ is a critical point for the oriented percolation model. With this distribution, it is known that there is a flat segment on the shape boundary between angles $0< θ_p^- < θ_p^+< 90^\circ$. In this paper, we show that the shape are strictly convex at the directions $θ_p^\pm$. Moreover, we also show that for all $r>0$, $ξ((r, θ^\pm_p)) = 0.5$ and $ξ((r, θ)) =1$ for all $θ_p^- <θ< θ_p^+$ and $r>0$.

Explore related subjects

Keep this discovery

BibTeXRIS

Yu Zhang. 2007-01-24. Shape curvatures and transversal fluctuations in the first passage percolation model. https://arxiv.org/abs/math/0701689

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Averaging principles for nonautonomous multiscale stochastic Burgers equations with reflection

In this paper, we study averaging principles for nonautonomous multiscale stochastic Burgers equations with reflection. First, we derive a general averaging principle applicable to such equations under minimal assumptions. Subsequently, since the coefficients of the obtained averaged equation still depend on the small scaling parameter $\e$, we impose either periodic or asymptotic conditions on the coefficients, thereby obtain two distinct averaged equations whose coefficients are independent of $\e$ and establish two averaging principles. Stopping times and Khasminskii's time discretization schemes play an important role. Finally, a concrete example is provided to illustrate the applicability and validity of the theoretical results.

math.PR

Spectral properties of Random Matrices

We give the theoretical foundations of random matrix theory through the definitions of a random matrix, a random probability measure and the corresponding empirical spectral distribution. The technical tool we use is the Stieltjes transform method through which we prove optimal convergence of the empirical spectral distribution of random sample covariance matrices to the deterministic Marchenko-Pastur distribution. We also give new results about the rigidity of the eigenvalues of this random sample covariance matrix and the rate of their convergence. We then define the Dyson equation method to prove new local laws about a random matrix model that interpolates between the Marchenko-Pastur distribution, the elliptical law and the circular law. Through our work these local laws can be considered universal.

math.PR

Moments approach for the elephant random walk

We discuss the method of moments for the one-dimensional elephant random walk (ERW). We first derive a differential recurrence relation for the characteristic function of the ERW, which yields a corresponding system of recurrence relations for its moments. We then obtain asymptotic approximations for the moments in each of the three parameter regimes of the ERW. Finally, by establishing the convergence of the moments and verifying the corresponding moment-determinacy conditions, we identify the limiting distributions of the ERW in each regime.

math.PR