# Externally Controlled Lotka-Volterra Dynamics in a Linearly Polarized Polariton Fluid

## TL;DR

This paper derives and analyzes a simplified Lotka-Volterra model to understand externally controlled pattern switching in a polarized polariton fluid, linking nonlinear optical dynamics with population competition theory.

## Contribution

It introduces a generalized Lotka-Volterra model with external control for polariton systems, providing analytical insights into pattern switching mechanisms.

## Key findings

- The model captures key switching behaviors observed in simulations.
- Analysis of stability and bifurcations in the parameter space.
- External control enables manipulation of pattern states.

## Abstract

Spontaneous formation of transverse patterns is ubiquitous in nonlinear dynamical systems of all kinds. An aspect of particular interest is the active control of such patterns. In nonlinear optical systems this can be used for all-optical switching with transistor-like performance, for example realized with polaritons in a planar quantum-well semiconductor microcavity. Here we focus on a specific configuration which takes advantage of the intricate polarization dependencies in the interacting optically driven polariton system. Besides detailed numerical simulations of the coupled light-field exciton dynamics, in the present paper we focus on the derivation of a simplified population competition model giving detailed insight into the underlying mechanisms from a nonlinear dynamical systems perspective. We show that such a model takes the form of a generalized Lotka-Volterra system for two competing populations explicitly including a source term that enables external control. We present a comprehensive analysis both of the existence and stability of stationary states in the parameter space spanned by spatial anisotropy and external control strength. We also construct phase boundaries in non-trivial regions and characterize emerging bifurcations. The population competition model reproduces all key features of the switching observed in full numerical simulations of the rather complex semiconductor system and at the same time is simple enough for a fully analytical understanding of the system dynamics.