Sparse decomposition by iterating Lipschitzian-type mappings

Mean Lipschitzian Mappings

Lipschitz self mappings of metric spaces appear in many branches of mathematics. In this paper we introduce a modification of the Lipschitz condition which takes into account not only the mapping itself but also the behaviour of a finite number of its iterates. We refer to such mappings as mean Lipschitzian. The study of this new class of mappings seems potentially interesting and leads to some...

New Inequalities of Hadamard’s Type for Lipschitzian Mappings

In this paper, we study several new inequalities of Hadamard’s type for Lipschitzian mappings.

On Uniformly Generalized Lipschitzian Mappings

We consider another class of generalized Lipschitzian type mappings and utilize the same to prove fixed point theorems for asymptotically regular and uniformly generalized Lipschitzian one-parameter semigroups of self-mappings defined on bounded metric spaces equipped with uniform normal structure which yield corresponding results in respect of semigroup of iterates of a self-mapping as corolla...

Spectral Characterization of Iterating Lossy Mappings

In this paper we study what happens to sets when we iteratively apply lossy (round) mappings to them. We describe the information loss as imbalances of parities of intermediate distributions and show that their evolution is governed by the correlation matrices of the mappings. At the macroscopic level we show that iterating lossy mappings results in an increase of a quantity we call total imbal...

Convergence theorems for uniformly quasi-Lipschitzian mappings