Transformation of Stochastic Recursions and Critical Phenomena in the Analysis of the Aldous-Shields-Athreya Cascade and Related Mean Flow Equations

TL;DR

This paper extends probability theory on trees to analyze critical phenomena in the ASA cascade and applies this framework to investigate solution uniqueness in mean flow equations, revealing how stochastic transformations influence macroscopic structures.

Contribution

It introduces a probabilistic framework for the ASA cascade and demonstrates how simple stochastic transformations lead to multiple solutions in mean flow equations.

Findings

Infinite solutions to nonlinear mean flow equations due to stochastic transformations.

Critical phenomena like stochastic explosion and percolation are linked to solution non-uniqueness.

Transformations reveal macroscopic structures from stochastic processes.

Abstract

The paper has two main goals. First, we extend the contemporary probability theory on trees to investigate critical phenomena in a stochastic model of Yule type called Aldous-Shields-Athreya (ASA) cascade. Second, we apply the newly developed probabilistic framework to problems of uniqueness and nonuniqueness of solutions to the linear and nonlinear mean flow equations, referred to as the pantograph equation and $\alpha$-Riccati equation, respectively. The stochastic processes associated with these equations are related to each other via a one-parameter family of transformations. Remarkably, these simple transformations lead to infinitely many solutions to the initial-value problem of the nonlinear mean flow equation. Despite being non-explicit at the level of mean flow, their effect on the mean flow equations is reminiscent of how the Cole-Hopf transformation maps solutions of the heat equation to those of the Burgers equation. While the ASA cascade has been used to model percolation, ageing, and data compression, its relevance to any specific physical molecular dynamics is unclear to the authors. Nevertheless, our results highlight how simple stochastic-level transformations can uncover significant macroscopic structures. This principle is exemplified by the connection between spontaneous magnetization and shocks in the Burgers equation (Newman 1986) or the connection between the branching Brownian motion and the KPP equation (McKean 1975). In our model, the breakdown of uniqueness in mean flow solutions corresponds to critical phenomena in the ASA cascade such as stochastic explosion, hyperexplosion, and percolation.