arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2409.01044math.PR
收藏

离散时间松本-约尔定理

A discrete-time Matsumoto-Yor theorem

Charlie Herent

AI总结:

本文研究SL₂下三角矩阵群上的随机游走,证明其下角过程满足Rogers-Pitman判据当且仅当增量服从广义逆高斯分布,并由此给出松本-约尔定理的离散时间版本。

摘要:

我们研究SL$_2$下三角矩阵子群上具有独立同分布增量的随机游走。我们证明,随机游走下角过程满足Rogers-Pitman判据成为马尔可夫链,当且仅当增量在对角线上服从广义逆高斯(GIG)分布。为此,我们证明了这些分布的一个新刻画。我们证明了Dufresne恒等式的离散时间版本。我们展示了如何通过取随机游走的连续极限来恢复松本-约尔定理。

英文摘要:

We study a random walk on the subgroup of lower triangular matrices of SL$_2$, with i.i.d. increments. We prove that the process of the lower corner of the random walk satisfies a Rogers-Pitman criterion to be a Markov chain if and only if the increments are distributed according to a Generalized Inverse Gaussian (GIG) law on their diagonals. For this, we prove a new characterization of these laws. We prove a discrete-time version of the Dufresne identity. We show how to recover the Matsumoto-Yor theorem by taking the continuous limit of the random walk.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑