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Asymptotics for first-passage percolation on logarithmic subgraphs of $\mathbb{Z}^2$

Michael Damron, Wai-Kit Lam

TL;DR

The paper investigates first-passage percolation on logarithmic wedge subgraphs of the 2D lattice, connecting percolation geometry to FPP growth through a gap condition near zero for edge-weights. By coupling FPP with a Bernoulli model and exploiting duality, the authors derive sharp asymptotics for the mean passage time $\mathbb{E}T_{a,b}(0,P(n))$ across regimes determined by the gap, the parameters $a,b$ of the logarithmic wedge, and the correlation length $\xi(1-p)$; they show sublinear, polylogarithmic, and even constant growth depending on these parameters. A central limit theorem and variance bounds are established for a broad class of wedges, using a Kesten–Zhang style martingale construction with detailed control of increments $\Delta_{i,i_0}$ and a robust concentration analysis. They also prove a discontinuity criterion for percolation in $\mathbb{G}_{a,b}$: the phase transition is discontinuous iff $b>a$, and they provide improved sponge-crossing dimension results for subcritical crossing probabilities. Collectively, the results illuminate how logarithmic-wedge geometry and gap conditions jointly govern FPP scaling, fluctuations, and phase transition behavior.

Abstract

For $a>0$ and $b \geq 0$, let $\mathbb{G}_{a,b}$ be the subgraph of $\mathbb{Z}^2$ induced by the vertices between the first coordinate axis and the graph of the function $f = f_{a,b}(u) = a \log (1+u) + b \log(1+\log(1+u))$, $u \geq 0$. It is known that for $a>0$, the critical value for Bernoulli percolation on $\mathbb{G}_f = \mathbb{G}_{a,b}$ is strictly between $1/2$ and $1$, and that if $b>2a$ then the percolation phase transition is discontinuous. We study first-passage percolation (FPP) on $\mathbb{G}_{a,b}$ with i.i.d. edge-weights $(τ_e)$ satisfying $p = \mathbb{P}(τ_e=0) \in [1/2,1)$ and the "gap condition" $\mathbb{P}(τ_e \leq δ) = p$ for some $δ>0$. We find the rate of growth of the expected passage time in $\mathbb{G}_f$ from the origin to the line $x=n$, and show that, while when $p=1/2$ it is of order $n/(a \log n)$, when $p>1/2$ it can be of order (a) $n^{c_1}/(\log n)^{c_2}$, (b) $(\log n)^{c_3}$, (c) $\log \log n$, or (d) constant, depending on the relationship between $a,b,$ and $p$. For more general functions $f$, we prove a central limit theorem for the passage time and show that its variance grows at the same rate as the mean. As a consequence of our methods, we improve the percolation transition result by showing that the phase transition on $\mathbb{G}_{a,b}$ is discontinuous if and only if $b > a$, and improve "sponge crossing dimensions" asymptotics from the '80s on subcritical percolation crossing probabilities for tall thin rectangles.

Asymptotics for first-passage percolation on logarithmic subgraphs of $\mathbb{Z}^2$

TL;DR

The paper investigates first-passage percolation on logarithmic wedge subgraphs of the 2D lattice, connecting percolation geometry to FPP growth through a gap condition near zero for edge-weights. By coupling FPP with a Bernoulli model and exploiting duality, the authors derive sharp asymptotics for the mean passage time across regimes determined by the gap, the parameters of the logarithmic wedge, and the correlation length ; they show sublinear, polylogarithmic, and even constant growth depending on these parameters. A central limit theorem and variance bounds are established for a broad class of wedges, using a Kesten–Zhang style martingale construction with detailed control of increments and a robust concentration analysis. They also prove a discontinuity criterion for percolation in : the phase transition is discontinuous iff , and they provide improved sponge-crossing dimension results for subcritical crossing probabilities. Collectively, the results illuminate how logarithmic-wedge geometry and gap conditions jointly govern FPP scaling, fluctuations, and phase transition behavior.

Abstract

For and , let be the subgraph of induced by the vertices between the first coordinate axis and the graph of the function , . It is known that for , the critical value for Bernoulli percolation on is strictly between and , and that if then the percolation phase transition is discontinuous. We study first-passage percolation (FPP) on with i.i.d. edge-weights satisfying and the "gap condition" for some . We find the rate of growth of the expected passage time in from the origin to the line , and show that, while when it is of order , when it can be of order (a) , (b) , (c) , or (d) constant, depending on the relationship between and . For more general functions , we prove a central limit theorem for the passage time and show that its variance grows at the same rate as the mean. As a consequence of our methods, we improve the percolation transition result by showing that the phase transition on is discontinuous if and only if , and improve "sponge crossing dimensions" asymptotics from the '80s on subcritical percolation crossing probabilities for tall thin rectangles.

Paper Structure

This paper contains 20 sections, 21 theorems, 324 equations, 2 figures.

Key Result

Theorem 1.1

For every $a>0$, the critical probability $p_c(f)$ for bond percolation on $\mathbb{G}_f$ is strictly between $1/2$ and $1$. However, if $F(0)\geq 1/2$ and $\mathbb{E}\tau_e<\infty$, then

Figures (2)

  • Figure 1: Illustration of $\mathbb{G}_{a,b}(n)$ for $n=10$. The curve is the graph of $f(u) = a \log (1+u) + b \log (1 + \log (1+u))$ and vertices of $\mathbb{G}_{a,b}(n)$ are the solid dots (black and red). The vertices of the dual graph are the non-filled circles, squares, and triangles. Those of the "highest path" $P_{a,b}(n)$ are displayed in red, the "top side" of $\mathbb{G}_{a,b}^\ast(n)$ is $H_{a,b}^\ast(n)$, whose vertices are displayed as squares, and the "bottom side" is $L_{a,b}^\ast(n)$, whose vertices are displayed as triangles. The values listed on the $x$-axis are $\ell_j$, the smallest value of $u$ for which $f(u) \geq j$. Because $f$ increases sharply near 0 in the figure, we have $f(0) = 0$ but $f(1) \geq 2$, so $\ell_1=\ell_2=1$.
  • Figure 2: Illustration of the definitions involved in the martingale construction. In the figure, the top solid curve is the graph of $f$ and the region below the curve and between $r_{i-1}'=r_{2i-2}$ and $r_{2i-1}$ is $R_{i-1}'$. The dotted curves connecting the top solid curve to the bottom are open paths. There is no top-down open crossing of $R_{i-1}'$, so $m(i-1) > i-1$. The region to the right of $r_i'$ below the graph of $f$ is $R_i'$, and it has a top-down open crossing, so $m(i-1) = m(i)=i$ and the leftmost such crossing is labeled as $\Gamma_{i-1}$, which is also equal to $\Gamma_i$. The middle two open paths connecting the top solid curve to the bottom are not contained in any $R_j'$, so they do not affect the values of $m(i-1),m(i), \Gamma_{i-1},\Gamma_i$.

Theorems & Definitions (42)

  • Theorem 1.1: Ahlberg
  • Theorem 1.2
  • Remark 1
  • Remark 2
  • Remark 3
  • Theorem 1.3
  • Remark 4
  • Remark 5
  • Corollary 1.4
  • proof
  • ...and 32 more