Invariant measures involving local inverse iterates
نویسنده
چکیده
We study new invariant probability measures, describing the distribution of multivalued inverse iterates (i.e of different local inverse iterates) for a non-invertible smooth function f which is hyperbolic, but not necessarily expanding on a repellor Λ. The methods for the higher dimensional non-expanding and non-invertible case are different than the ones for diffeomorphisms, due to the lack of a nice unstable foliation (local unstable manifolds depend on prehistories and may intersect each other, both in Λ and outside Λ), and the fact that Markov partitions may not exist on Λ. We obtain that for Lebesgue almost all points z in a neighbourhood V of Λ, the normalized averages of Dirac measures on the consecutive preimage sets of z converge weakly to an equilibrium measure μ− on Λ; this implies that μ− is a physical measure for the local inverse iterates of f . It turns out that μ− is an inverse SRB measure in the sense that it is the only invariant measure satisfying a Pesin type formula for the negative Lyapunov exponents. Also we show that μ− has absolutely continuous conditional measures on local stable manifolds, by using the above convergence of measures. Several classes of examples of hyperbolic non-invertible and non-expanding repellors, with their inverse SRB measures, are given in the end. Mathematics Subject Classification 2000: 37D35, 37A60, 37D20.
منابع مشابه
Weak Random Attractors
We deene point attractors and set attractors for random dynamical systems via convergence in probability forward in time. This deenition of a set attractor is weaker than the usual one via almost sure pullback convergence. We derive basic properties of our weak random attractors such as uniqueness, support of invariant measures and invari-ance under (random) coordinate transformations. The noti...
متن کاملPerturbation bounds for $g$-inverses with respect to the unitarily invariant norm
Let complex matrices $A$ and $B$ have the same sizes. Using the singular value decomposition, we characterize the $g$-inverse $B^{(1)}$ of $B$ such that the distance between a given $g$-inverse of $A$ and the set of all $g$-inverses of the matrix $B$ reaches minimum under the unitarily invariant norm. With this result, we derive additive and multiplicative perturbation bounds of the nearest per...
متن کاملInvariant measures via inverse limits of finite structures
Building on recent results regarding symmetric probabilistic constructions of countable structures, we provide a method for constructing probability measures, concentrated on certain classes of countably infinite structures, that are invariant under all permutations of the underlying set that fix all constants. These measures are constructed from inverse limits of measures on certain finite str...
متن کاملTwo points of view to study the iterates of a random configuration by a cellular automaton
We study the dynamics of the action of cellular automata on the set of shiftinvariant probability measures according two points of view. First, the robustness of the simulation of a cellular automaton on a random configuration can be viewed considering the sensitivity to initial condition in the space of shift-invariant probability measures. Secondly we consider the evolution of the quantity of...
متن کاملStationary flows and uniqueness of invariant measures
In this short paper, we consider a quadruple (Ω,A , θ, μ), where A is a σ-algebra of subsets of Ω, and θ is a measurable bijection from Ω into itself that preserves the measure μ. For each B ∈ A , we consider the measure μB obtained by taking cycles (excursions) of iterates of θ from B. We then derive a relation for μB that involves the forward and backward hitting times of B by the trajectory ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009