# Robust Heteroclinic Cycles in Pluridimensions

## TL;DR

This paper introduces a new class of heteroclinic cycles that exist in varying dimensions and explores their stability and potential applications in population dynamics.

## Contribution

The paper introduces and analyzes robust heteroclinic cycles in pluridimensions, where traditional stability conditions do not apply.

## Key findings

- Robust heteroclinic cycles in pluridimensions do not require equal-dimensional flow-invariant subspaces.
- Stability theory is developed for these cycles even when equilibria lack contracting eigenvalues.
- Four new examples in four dimensions demonstrate the stability calculations.

## Abstract

Heteroclinic cycles are sequences of equilibria along with trajectories that connect them in a cyclic manner. We investigate a class of robust heteroclinic cycles that do not satisfy the usual condition that all connections between equilibria lie in flow-invariant subspaces of equal dimension. We refer to these as robust heteroclinic cycles in pluridimensions. The stability of these cycles cannot be expressed in terms of ratios of contracting and expanding eigenvalues in the usual way because, when the subspace dimensions increase, the equilibria fail to have contracting eigenvalues. We develop the stability theory for robust heteroclinic cycles in pluridimensions, allowing for the absence of contracting eigenvalues. We present four new examples, each with four equilibria and living in four dimensions, that illustrate the stability calculations. Potential applications include modelling the dynamics of evolving populations when there are transitions between equilibria corresponding to mixed populations with different numbers of species.