The Lyapunov exponent for a codimension two bifurcation system that is driven by a real noise

Abstract

For a co-dimension two bifurcation system on a three-dimensional central manifold, which is parametrically excited by a real noise, a model of enhanced generality is developed in the present paper by assuming the real noise to be a component of the output of a linear filter system—a zero-mean stationary Gaussian diffusion vectoral process, which conforms with the detailed balance condition. The strong mixing condition is removed in the present paper. To handle the complexities encountered in the present work, an asymptotic analysis approach and the eigenfunction expansion of the solution to the relevant FPK equation are employed in the construction of the asymptotic expansions of the invariant measure and the maximal Lyapunov exponents for the relevant system.