Search arXiv⌕ Search

arXiv · 0707.0344

Large deviations for symmetrised empirical measures

Abstract

In this paper we prove a Large Deviation Principle for the sequence of symmetrised empirical measures $\frac{1}{n} \sum_{i=1}^{n} δ_{(X^n_i,X^n_{σ_n(i)})}$ where $σ_n$ is a random permutation and $((X_i^n)_{1 \leq i \leq n})_{n \geq 1}$ is a triangular array of random variables with suitable properties. As an application we show how this result allows to improve the Large Deviation Principles for symmetrised initial-terminal conditions bridge processes recently established by Adams, Dorlas and König.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

José Trashorras. 2007-09-13. Large deviations for symmetrised empirical measures. https://arxiv.org/abs/0707.0344

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

KEEP EXPLORING

Related papers

Improved Mixing Rates of Directed Cycles with Additional Sparse Interconnections

We analyze the absolute spectral gap of Markov chains on graphs obtained from a cycle of $n$ vertices and perturbed only at approximately $n^{1/ρ}$ random locations with an appropriate, possibly sparse, interconnection structure. Together with a strong asymmetry along the cycle, the gap of the resulting chain can be bounded inversely proportionally by the longest arc length (up to logarithmic factors) with high probability, providing a significant mixing speedup compared to the reversible version.

math.PR↗

Strongly vertex-reinforced jump process on graphs with bounded degree

We study asymptotic behaviours of a non-linear vertex-reinforced jump process defined on an arbitrary infinite graph with bounded degree. We prove that if the reinforcement function $w$ is reciprocally integrable and non-decreasing, then the process visits only a finite number of vertices. In the case where $w$ is regularly varying with index $α>1$, we show that the process eventually gets stuck on a star-shaped subgraph and there is exactly one vertex with unbounded local time.

math.PR↗

A Note on the Stability of Monotone Markov Chains

This note studies monotone Markov chains, a subclass of Markov chains with extensive applications in operations research and economics. While the properties that ensure the global stability of these chains are well studied, their establishment often relies on the fulfillment of a certain splitting condition. We address the challenges of verifying the splitting condition by introducing simple, applicable conditions that ensure global stability. The simplicity of these conditions is demonstrated through various examples including autoregressive processes, portfolio allocation problems and resource allocation dynamics.

math.PR↗