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The Poisson boundary of discrete subgroups of semisimple Lie groups without moment conditions

Kunal Chawla, Behrang Forghani, Joshua Frisch, Giulio Tiozzo

TL;DR

The paper proves that for a discrete, Zariski-dense subgroup $\Gamma$ of a semisimple Lie group $G$, any probability measure $\mu$ with finite entropy and generating $\Gamma$ as a semigroup yields the Furstenberg boundary $(G/P, u)$ as the Poisson boundary of $(\Gamma,\mu)$, without any moment conditions. It introduces a novel pin-down partition strategy that, instead of pivot-based arguments, uses critical times and flats to show the conditional entropy along the boundary is sublinear, thereby obtaining $h_X=0$ and maximality of the boundary. The technique relies on the Cartan projection and projection to flats, along with bilateral random walks, to control asymptotics in higher rank, and it extends classical boundary identifications to settings with only finite entropy. The result generalizes Poisson boundary identifications in rank one and acylindrically hyperbolic groups to higher rank semisimple groups, offering a robust probabilistic-geometric framework for boundary analysis with no moment assumptions. The work has implications for rigidity phenomena and the probabilistic structure of random walks on lattices and discrete subgroups of Lie groups.

Abstract

We show that the Poisson boundary of random walks of finite entropy on Zariski-dense discrete subgroups of semisimple Lie groups equals the Furstenberg boundary of the corresponding symmetric spaces equipped with the hitting measure, without assuming any moment condition on the random walk.

The Poisson boundary of discrete subgroups of semisimple Lie groups without moment conditions

TL;DR

The paper proves that for a discrete, Zariski-dense subgroup of a semisimple Lie group , any probability measure with finite entropy and generating as a semigroup yields the Furstenberg boundary as the Poisson boundary of , without any moment conditions. It introduces a novel pin-down partition strategy that, instead of pivot-based arguments, uses critical times and flats to show the conditional entropy along the boundary is sublinear, thereby obtaining and maximality of the boundary. The technique relies on the Cartan projection and projection to flats, along with bilateral random walks, to control asymptotics in higher rank, and it extends classical boundary identifications to settings with only finite entropy. The result generalizes Poisson boundary identifications in rank one and acylindrically hyperbolic groups to higher rank semisimple groups, offering a robust probabilistic-geometric framework for boundary analysis with no moment assumptions. The work has implications for rigidity phenomena and the probabilistic structure of random walks on lattices and discrete subgroups of Lie groups.

Abstract

We show that the Poisson boundary of random walks of finite entropy on Zariski-dense discrete subgroups of semisimple Lie groups equals the Furstenberg boundary of the corresponding symmetric spaces equipped with the hitting measure, without assuming any moment condition on the random walk.

Paper Structure

This paper contains 15 sections, 4 theorems, 66 equations.

Key Result

Theorem 1.1

Let $G$ be a semisimple, connected, Lie group with finite center and no compact factors, and let $\Gamma < G$ be a discrete, Zariski-dense subgroup. Let $\mu$ be a probability measure on $\Gamma$ with finite entropy, such that its support generates $\Gamma$ as a semigroup. Then the Furstenberg bound

Theorems & Definitions (10)

  • Theorem 1.1
  • proof
  • Theorem 3.3
  • Theorem 4.2
  • proof
  • proof
  • proof
  • proof
  • Theorem 5.8
  • proof : Proof of Theorem \ref{['T:main']}