Toda flow with unbounded initial data
Shinichi Kotani, Jiahao Xu, Shuo Zhang

TL;DR
This paper constructs Toda flows from unbounded initial data, including certain unbounded sequences and random matrix models, leading to invariant measures.
Contribution
It introduces a method to define Toda flows with unbounded initial conditions, expanding the class of initial data beyond bounded sequences.
Findings
Allows unbounded ergodic sequences as initial data
Includes ta-ensembles matrix models as initial conditions
Yields invariant measures for the flow from these initial data
Abstract
A Toda flow is constructed starting from a certain class of unbounded initial conditions including sequences growing with power order of less than 1. Unbounded ergodic sequences are allowed, and especially \b{eta}-ensembles matrix models in random matrix theory can be an initial data and they yiled invariant measures for the flow.
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