Théorèmes ergodiques pour des mesures diagonales
Theorems on lower semicontinuity and relaxation for integrands with fast growth.
Théorie ergodique : classification de certaines transformations réelles
Thickness of a family of sets and uniform measures
Thin and fat sets for doubling measures in metric spaces
We consider sets in uniformly perfect metric spaces which are null for every doubling measure of the space or which have positive measure for all doubling measures. These sets are called thin and fat, respectively. In our main results, we give sufficient conditions for certain cut-out sets being thin or fat.
Thin points for brownian motion
Three results on mixing shapes.
Threshold phenomena on product spaces: BKKKL revisited (once more).
Tibor Neubrunn (1929 – 1990) [Book]
Tight extensions of group-valued quasi-measures
Tightness, integral equicontinuity and compactness for evolution problems in Banach spaces
Compactness in the space , being a separable Banach space, has been deeply investigated by J.P. Aubin (1963), J.L. Lions (1961, 1969), J. Simon (1987), and, more recently, by J.M. Rakotoson and R. Temam (2001), who have provided various criteria for relative compactness, which turn out to be crucial tools in the existence proof of solutions to several abstract time dependent problems related to evolutionary PDEs. In the present paper, the problem is examined in view of Young measure theory: exploiting...
To the problem of a strong differentiability of integrals along different directions.
Toeplitz flows with pure point spectrum
We construct strictly ergodic 0-1 Toeplitz flows with pure point spectrum and irrational eigenvalues. It is also shown that the property of being regular is not a measure-theoretic invariant for strictly ergodic Toeplitz flows.
Toeplitz -extensions
Topics in Weak Convergence of Probability Measures
Topics on analytic sets
Topological aspects of q-regular measures
Topological bar-codes of fractals: a new characterization of symmetric binary fractal trees
The goal of this paper is to provide foundations for a new way to classify and characterize fractals using methods of computational topology. The fractal dimension is a main characteristic of fractal-like objects, and has proved to be a very useful tool for applications. However, it does not fully characterize a fractal. We can obtain fractals with the same dimension that are quite different topologically. Motivated by techniques from shape theory and computational topology, we consider fractals...
Topological conditional entropy
Topological Dynamics of Transformations Induced on the Space of Probability Measures.