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First-order behavior of the time constant in non-isotropic continuous first-passage percolation

Anne-Laure Basdevant, Jean-Baptiste Gouéré, Marie Théret

TL;DR

We analyze a non-isotropic continuous first-passage percolation model built from a Boolean union of $p$-norm balls around a Poisson cloud in $\mathbb{R}^d$, focusing on the small-ball regime with $r=\varepsilon^{1/d}/2$ and unit intensity. By introducing a related rewards model and exploiting the local geometry of the unit ball via the cones $K_\eta(u)$ and their symmetrized variants $M_\eta(u)$, we establish sharp first-order asymptotics for the time constant: for directions $u$ with $\|u\|_p=1$, the deficit $1-\tilde{\mu}_{p,\varepsilon}(u)$ scales like $\varepsilon^{\kappa_p(u)}$, where $\kappa_p(u)$ depends on the count of nonzero coordinates and the norm index $p$. The exponent is explicit: for $p=1$, $\kappa_1(u)=1/d_1(u)$; for $p\in(1,\infty)$, $\kappa_p(u)=1\big/\left(d- (d_1(u)-1)/2 - d_2(u)/p\right)$; and for $p=\infty$, $\kappa_\infty(u)=1/(d_4(u)+1)$. The work also treats $p=2$ (isotropy) with a universal exponent $2/(d+1)$, and provides exact limit behavior in several directions, plus a comparison with the ball-model and a detailed treatment of geodesics. Overall, the results illuminate how anisotropy and unit-ball geometry govern first-order growth in continuous FPP, with implications for related percolation and geodesic properties. The methods combine geometric cone arguments, greedy constructions, and subadditive ergodic techniques, yielding precise, direction-dependent asymptotics that extend lattice-FPP intuition to non-isotropic continuous settings.

Abstract

Consider $Ξ$ a homogeneous Poisson point process on $\mathbb{R}^d$ ($d\geq 2$) with unit intensity with respect to the Lebesgue measure. For $\varepsilon\geq 0$, we define the Boolean model $Σ_{p, \varepsilon}$ as the union of the balls of volume $\varepsilon$ for the $p$-norm ($p\in [1,\infty]$) and centered at the points of $Ξ$. We define a random pseudo-metric on $\mathbb{R}^d$ by associating with any path a travel time equal to its $p$-length outside $Σ_{p,\varepsilon}$. This defines a continuous model of first-passage percolation, that has been studied in \cite{GT17,GT22} for $p=2$, the Euclidean norm. For $p=1$, this model is expected to share common properties with the classical first-passage percolation on the graph $\mathbb{Z}^d$ with a distribution of passage times of the form $\varepsilon δ_0 + (1-\varepsilon) δ_1$. The exact calculation of the time constant of this model $\tilde μ_{p,\varepsilon} (x)$ is out of reach. We investigate here the behavior of $\varepsilon \mapsto \tilde μ_{p,\varepsilon} (x)$ near $0$, and enlighten how the speed at which $\| x \|_p - \tilde μ_{p,\varepsilon} (x) $ goes to $0$ depends on $x$ and $p$. For instance, for $p\in (1,\infty)$, we prove that $\| x \|_p - \tilde μ_{p,ε} (x)$ is of order $\varepsilon ^{κ_p(x)}$ with $$κ_p(x): = \frac{1}{d- \frac{d_1(x)-1}{2} - \frac{d-d_1 (x)}{p}}\,,$$where $d_1(x)$ is the number of non null coordinates of $x$. The exact order of $\| x \|_p - \tilde μ_{p,ε} (x)$ is also given for $p=1$ and $p=\infty$. Related results are also discussed, about properties of the geodesics, and analog properties on closely related models.

First-order behavior of the time constant in non-isotropic continuous first-passage percolation

TL;DR

We analyze a non-isotropic continuous first-passage percolation model built from a Boolean union of -norm balls around a Poisson cloud in , focusing on the small-ball regime with and unit intensity. By introducing a related rewards model and exploiting the local geometry of the unit ball via the cones and their symmetrized variants , we establish sharp first-order asymptotics for the time constant: for directions with , the deficit scales like , where depends on the count of nonzero coordinates and the norm index . The exponent is explicit: for , ; for , ; and for , . The work also treats (isotropy) with a universal exponent , and provides exact limit behavior in several directions, plus a comparison with the ball-model and a detailed treatment of geodesics. Overall, the results illuminate how anisotropy and unit-ball geometry govern first-order growth in continuous FPP, with implications for related percolation and geodesic properties. The methods combine geometric cone arguments, greedy constructions, and subadditive ergodic techniques, yielding precise, direction-dependent asymptotics that extend lattice-FPP intuition to non-isotropic continuous settings.

Abstract

Consider a homogeneous Poisson point process on () with unit intensity with respect to the Lebesgue measure. For , we define the Boolean model as the union of the balls of volume for the -norm () and centered at the points of . We define a random pseudo-metric on by associating with any path a travel time equal to its -length outside . This defines a continuous model of first-passage percolation, that has been studied in \cite{GT17,GT22} for , the Euclidean norm. For , this model is expected to share common properties with the classical first-passage percolation on the graph with a distribution of passage times of the form . The exact calculation of the time constant of this model is out of reach. We investigate here the behavior of near , and enlighten how the speed at which goes to depends on and . For instance, for , we prove that is of order with where is the number of non null coordinates of . The exact order of is also given for and . Related results are also discussed, about properties of the geodesics, and analog properties on closely related models.
Paper Structure (51 sections, 27 theorems, 316 equations, 5 figures)

This paper contains 51 sections, 27 theorems, 316 equations, 5 figures.

Key Result

Theorem 1

For all $p\in [1,\infty]$, for all $u\in \mathbb{R}^d$ such that $\| u \|_p=1$, there exist constants $C_i = C_i (p,d,u)>0$, $i=1,2$ such that for $\varepsilon$ small enough, we have

Figures (5)

  • Figure 1: Illustration of the sets $K_\eta(u)$ and $M_\eta(u)$ (note that $M_\eta(u)$ is here strictly included in $K_\eta(u)$).
  • Figure 1: Illustration of the sets $K_\eta(u)$ and $M_\eta(u)$ (note that $M_\eta(u)$ is here strictly included in $K_\eta(u)$).
  • Figure 2: Illustration of the greedy algorithm. The path constructed is drawn in blue. At each step, the path goes through the first point of $\Xi$ in the green cone in front of it.
  • Figure 2: Illustration of the greedy algorithm. The path constructed is drawn in blue. At each step, the path goes through the first point of $\Xi$ in the green cone in front of it.
  • Figure 3: The path $\pi$ (in red) is a generalized path from $x$ to $y$. In blue, a polygonal path $\pi'$ from $x$ to $y$ such that $\tilde{T}_\varepsilon(\pi')\le \tilde{T}_\varepsilon(\pi)$.

Theorems & Definitions (59)

  • Theorem 1
  • Theorem 2
  • Remark 3
  • Definition 4
  • Lemma 5
  • proof
  • Theorem 6
  • Proposition 7
  • Lemma 8
  • Lemma 9
  • ...and 49 more