Genericity of weak-mixing measures on geometrically finite manifolds
Belarif Kamel

TL;DR
This paper proves that on geometrically finite negatively curved manifolds, the set of mixing and weak-mixing invariant measures is dense in the space of all invariant probability measures, extending to manifolds with cusps or constant curvature.
Contribution
It establishes the density of mixing and weak-mixing measures in the space of invariant measures for a broad class of negatively curved manifolds, including those with cusps or constant curvature.
Findings
Mixing measures are dense in the space of invariant measures.
Weak-mixing measures form a dense $G_{\delta}$ subset.
Results extend to manifolds with cusps or constant negative curvature.
Abstract
Let be a manifold with pinched negative sectional curvature. We show that when is geometrically finite and the geodesic flow on is topologically mixing then the set of mixing invariant measures is dense in the set of invariant probability measures. This implies that the set of weak-mixing measures which are invariant by the geodesic flow is a dense subset of . We also show how to extend these results to manifolds with cusps or with constant negative curvature.
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Taxonomy
TopicsMathematical Dynamics and Fractals · Markov Chains and Monte Carlo Methods · Geometry and complex manifolds
