In this chapter, we consider \(T: M \circlearrowleft \) where M is a compact Riemannian manifold without boundary (e.g. \(M=\mathbb T^d \cong \mathbb R^d/\mathbb Z^d\) , the d-dimensional torus), and T is a differentiable map. The normalized Riemannian or Lebesgue measure on M is denoted by \(\mu \) . We do not assume that \(\mu \) is invariant under T, but are interested in determining under what conditions there exists an invariant probability measure m in the Lebesgue measure class, i.e., admitting a density with respect to \(\mu \) .

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Differentiable Maps and Invariant Densities

  • Alex Blumenthal,
  • Lai-Sang Young

摘要

In this chapter, we consider \(T: M \circlearrowleft \) where M is a compact Riemannian manifold without boundary (e.g. \(M=\mathbb T^d \cong \mathbb R^d/\mathbb Z^d\) , the d-dimensional torus), and T is a differentiable map. The normalized Riemannian or Lebesgue measure on M is denoted by \(\mu \) . We do not assume that \(\mu \) is invariant under T, but are interested in determining under what conditions there exists an invariant probability measure m in the Lebesgue measure class, i.e., admitting a density with respect to \(\mu \) .