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Given a partition γ\gamma on the area of pattern paths and ω∈Ω\omega\in\Omega, let γω\gamma\omega denote the class that features ω\omega. We will take as a base level of SS the coset corresponding to KK, and denote it as oo. Theorem 1.1 is the upper rank analog of the main theorem of CFFT25, that for hyperbolic teams, and more generally acylindrically hyperbolic groups, set up the identification of the Poisson boundary with the Gromov boundary under finite entropy and without moment conditions. We note that finite entropy is a needed assumption for our outcome and not only a technical artifact. We contemplate random walks of finite entropy on Zariski-dense discrete subgroups of semisimple Lie teams and present that their Poisson boundary is recognized with the Furstenberg boundary of the corresponding symmetric spaces geared up with the hitting measure.
However, these standards require some moment condition on the measure μ\mu (finite first second for ray approximation, finite logarithmic moment for the strip approximation) to control the geometry of the random walk. Later, Kaimanovich Kai00 extended this identification outcome, between the Poisson boundary of the discrete group and the Furstenberg boundary of the ambient Lie group, to the more general case that μ\mu has finite entropy and finite logarithmic second. We do not assume any moment situation on the random stroll and, in contrast with the previous rank eleven proof, we don’t rely on pivoting theory.
Let μ\mu be a totally irreducible, bi-contracting probability measure on Γ\Gamma, with finite entropy. Now, we document the information of the random walk at time nn via the following procedure, that gives rise to 44 units of partitions of the trail area.. Let us additionally present that limit points of the random stroll are nearly certainly pairs of transverse flags. Moreover, when μ\mu has finite entropy, the equality holds if and provided that (X,λ)(X,\lambda) is the Poisson boundary. 2.1 is important to ensure convergence of the random stroll. The pin down partition is then constructed by changing the gap alongside a geodesic ray by the projection of the random walk onto the flats, using the Cartan projection.}
