Abstract. We expand the ergodic theory developed by Furstenberg and Hochman on dynamical systems that are obtained from magnifications of measures. We prove that any fractal distribution in the sense of Hochman is generated by a uniformly scaling measure, which provides a converse to a regularity theorem on the structure of distributions generated by the scenery flow. We further show that the collection of fractal distributions is closed under the weak topology and, moreover, is a Poulsen simplex, that is, extremal points are dense. We apply these to show that a Baire generic measure is as far as possible from being uniformly scaling: at almost all points, it has all fractal distributions as tangent distributions. 1
Typically, in the dynamical theory of extremal events, the function that gauges the intensity of a p...
We analyse two classes of methods widely diffused in the geophysical community, especially for study...
Coons M, Evans J, Groth Z, Mañibo CN. Zaremba, Salem, and the fractal nature of ghost distributions ...
We expand the ergodic theory developed by Furstenberg and Hochman on dynamical systems that are obta...
Abstract. We study the small scale of geometric objects embedded in a Euclidean space by means of th...
We employ the ergodic theoretic machinery of scenery flows to address classical geometric measure t...
We describe the scaling scenery associated to Bernoulli measures supported on separated self-affine ...
We define the scenery flow space at a point z in the Julia set J of a hyperbolic rational map T : C ...
The accuracy of learning a function is determined both by the underlying process that generates the ...
I wish to express my sincere gratitude to my adviser Pertti Mattila for intro-ducing me to measure t...
Tangent measure distributions are a natural tool to describe the local geometry of arbitrary measure...
The theory of random dynamical systems originated from stochastic differential equations. It is inte...
J. M. Fraser and M. Pollicott were financially supported in part by the EPSRC grant EP/J013560/1.We ...
We study topological and measure theoretic forms of mean equicontinuity and mean sensitivity for dyn...
We show that for families of measures on Euclidean space which satisfy an ergodic-theoretic form of ...
Typically, in the dynamical theory of extremal events, the function that gauges the intensity of a p...
We analyse two classes of methods widely diffused in the geophysical community, especially for study...
Coons M, Evans J, Groth Z, Mañibo CN. Zaremba, Salem, and the fractal nature of ghost distributions ...
We expand the ergodic theory developed by Furstenberg and Hochman on dynamical systems that are obta...
Abstract. We study the small scale of geometric objects embedded in a Euclidean space by means of th...
We employ the ergodic theoretic machinery of scenery flows to address classical geometric measure t...
We describe the scaling scenery associated to Bernoulli measures supported on separated self-affine ...
We define the scenery flow space at a point z in the Julia set J of a hyperbolic rational map T : C ...
The accuracy of learning a function is determined both by the underlying process that generates the ...
I wish to express my sincere gratitude to my adviser Pertti Mattila for intro-ducing me to measure t...
Tangent measure distributions are a natural tool to describe the local geometry of arbitrary measure...
The theory of random dynamical systems originated from stochastic differential equations. It is inte...
J. M. Fraser and M. Pollicott were financially supported in part by the EPSRC grant EP/J013560/1.We ...
We study topological and measure theoretic forms of mean equicontinuity and mean sensitivity for dyn...
We show that for families of measures on Euclidean space which satisfy an ergodic-theoretic form of ...
Typically, in the dynamical theory of extremal events, the function that gauges the intensity of a p...
We analyse two classes of methods widely diffused in the geophysical community, especially for study...
Coons M, Evans J, Groth Z, Mañibo CN. Zaremba, Salem, and the fractal nature of ghost distributions ...