Qualitative Analysis of Causal Anisotropic Viscous Fluid Cosmological Models

TL;DR

This paper investigates the dynamics of anisotropic viscous fluid cosmological models using the Israel-Stewart theory, revealing how anisotropic stress influences model evolution, stability, and energy conditions.

Contribution

It provides a qualitative dynamical systems analysis of viscous anisotropic cosmological models, highlighting the role of anisotropic stress and stability of isotropic solutions.

Findings

Anisotropic stress can lead to violation of the weak energy condition.

Existence of attracting isotropic Friedmann-Robertson-Walker models under certain parameters.

Heat conduction does not significantly alter the global dynamics.

Abstract

The truncated Israel-Stewart theory of irreversible thermodynamics is used to describe the bulk viscous pressure and the anisotropic stress in a class of spatially homogeneous viscous fluid cosmological models. The governing system of differential equations is written in terms of dimensionless variables and a set of dimensionless equations of state is utilized to complete the system. The resulting dynamical system is then analyzed using standard geometric techniques. It is found that the presence of anisotropic stress plays a dominant role in the evolution of the anisotropic models. In particular, in the case of the Bianchi type I models it is found that anisotropic stress leads to models that violate the weak energy condition and to the creation of a periodic orbit in some instances. The stability of the isotropic singular points is analyzed in the case with zero heat conduction; it is found that there are ranges of parameter values such that there exists an attracting isotropic Friedmann-Robertson-Walker model. In the case of zero anisotropic stress but with non-zero heat conduction the stability of the singular points is found to be the same as in the corresponding case with zero heat conduction; hence the presence of heat conduction does not apparently affect the global dynamics of the model.