Exponential memory decay for deterministic walks in random environment

Let z=(z(n))n0z=(z(n))_{n\geq 0} be a path in the admissible path space, let zk=z(1),,z(k1)z^k=z(1),\ldots,z(k-1) denote its past, and let z^m(k)=z(m+k)z(m)\widehat z_m(k)=z(m+k)-z(m) with z^k=z^m(1),,z^m(k1)\widehat z^k=\widehat z_m(1),\ldots,\widehat z_m(k-1). Let τz(m)\tau_{z(m)} denote the environment shift by z(m)z(m). Exponential memory-decay conjecture. Under some appropriate technical conditions on P\mathbb P and h0h_0, there exist ν(0,1)\nu\in(0,1) and C_\\#>0 such that, for all ωˉΩ\bar\omega\in\Omega,

\left|\mathbb P_\star(z(n)\mid z^n,\bar\omega)-\mathbb P_\star(\widehat z_m(n-m)\mid\widehat z^{n-m},\tau_{z(m)}\bar\omega)\right|\leq C_\\#\nu^{n-m}.

This asserts that the conditional jump probabilities have exponentially weak dependence on the remote past, providing the expected Gibbsian or weak-memory structure for the non-Markovian process generated by the deterministic walk.

Sources & referencesView supporting material

Primary source

Romain Aimino and Carlangelo Liverani, “Deterministic walks in random environment”, arXiv:1804.11114 (2020).

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