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In this paper we give a new prove of hyperbolicity of renormalization of critical circle maps using the formalism of almost-commuting pairs. We extend renormalization to two-dimensional dissipative maps of the annulus which are small…

Dynamical Systems · Mathematics 2019-11-13 Denis Gaidashev , Michael Yampolsky

We develop a renormalization theory of non-perturbative dissipative H\'enon-like maps with combinatorics of bounded type. The main novelty of our approach is the incorporation of Pesin theoretic ideas to the renormalization method, which…

Dynamical Systems · Mathematics 2024-11-14 Jonguk Yang

It is well-known that the Manneville-Pomeau map with a parabolic fixed point of the form $x\mapsto x+x^{1+\alpha} \mod 1$ is stochastically stable for $\alpha\ge 1$ and the limiting measure is the Dirac measure at the fixed point. In this…

Dynamical Systems · Mathematics 2013-06-07 Weixiao Shen , Sebastian van Strien

In this Note, we present recent developments in the Renormalization Theory of quadratic polynomials and discuss their applications, with an emphasis on the MLC conjecture, the problem of local connectivity of the Mandelbrot set, and on its…

Dynamical Systems · Mathematics 2026-01-01 Dzmitry Dudko

A sufficient geometrical condition for the existence of absolutely continuous invariant probability measures for S-unimodal maps will be discussed. The Lebesgue typical existence of such measures in the quadratic family will be a…

Dynamical Systems · Mathematics 2008-02-03 Marco Martens , Tomasz Nowicki

The Chirikov standard map family is a one-parameter family of volume-preserving maps exhibiting hyperbolicity on a `large' but noninvariant subset of phase space. Based on this predominant hyperbolicity and numerical experiments, it is…

Dynamical Systems · Mathematics 2017-10-26 Alex Blumenthal

The Milnor problem on one-dimensional attractors is solved for S-unimodal maps with a non-degenerate critical point c. It provides us with a complete understanding of the possible limit behavior for Lebesgue almost every point. This theorem…

Dynamical Systems · Mathematics 2008-02-03 Mikhail Lyubich

In optimal transport, quadratic regularization is a sparse alternative to entropic regularization: the solution measure tends to have small support. Computational experience suggests that the support decreases monotonically to the…

Optimization and Control · Mathematics 2025-04-16 Alberto González-Sanz , Marcel Nutz , Andrés Riveros Valdevenito

In this paper, we introduce a quadratic stochastic operators on the set of all probability measures of a measurable space. We study the dynamics of the Lebesgue quadratic stochastic operator on the set of all Lebesgue measures of the set…

Dynamical Systems · Mathematics 2016-01-11 Nasir Ganikhodjaev , Mansoor Saburov , Ramazon Muhitdinov

We revisit the operator mixing in massless QCD-like theories. In particular, we address the problem of determining under which conditions a renormalization scheme exists where the renormalized mixing matrix in the coordinate representation,…

High Energy Physics - Theory · Physics 2021-08-27 Marco Bochicchio

In this work we give a method for constructing a one-parameter family of complete CMC-1 (i.e. constant mean curvature 1) surfaces in hyperbolic 3-space that correspond to a given complete minimal surface with finite total curvature in…

dg-ga · Mathematics 2008-02-03 Wayne Rossman , Masaaki Umehara , Kotaro Yamada

We consider regularised quadratic optimal transport with subquadratic polynomial or entropic regularisation. In both cases, we prove interior Lipschitz-estimates on a transport-like map and interior gradient Lipschitz-estimates on the…

Analysis of PDEs · Mathematics 2026-02-06 Rishabh S. Gvalani , Lukas Koch

By means of the perturbative renormalization group method, we study a long-time behaviour of some symplectic discrete maps near elliptic and hyperbolic fixed points. It is shown that a naive renormalization group (RG) map breaks the…

Chaotic Dynamics · Physics 2009-10-31 Shin-itiro Goto , Kazuhiro Nozaki

In this paper, we consider the problem of finding an almost surely common fixed point of a family of paracontraction maps indexed on a probability space, which we refer to as the stochastic feasibility problem. We show that a random…

Dynamical Systems · Mathematics 2020-08-12 Edgar Matias , Majela Pentón Machado

We give conditions that characterize the existence of an absolutely continuous invariant probability measure for a degree one $C^2$ endomorphism of the circle which is bimodal, such that all its periodic orbits are repelling, and such that…

Dynamical Systems · Mathematics 2019-05-01 Sylvain Crovisier , Pablo Guarino , Liviana Palmisano

In this article, we study some potential theoretical and topological aspects of the generalized Mandelbrot set introduced by Baker and DeMarco. For $\alpha$ real, we study the set of all totally real algebraic parameters $c$ such that…

Dynamical Systems · Mathematics 2024-05-20 Kevin G. Hare , Chatchai Noytaptim

Linear programs with quadratic regularization are attracting renewed interest due to their applications in optimal transport: unlike entropic regularization, the squared-norm penalty gives rise to sparse approximations of optimal transport…

Optimization and Control · Mathematics 2025-04-23 Alberto González-Sanz , Marcel Nutz

We prove exponential contraction of renormalization along hybrid classes of infinitely renormalizable unimodal maps (with arbitrary combinatorics), in any even degree $d$. We then conclude that orbits of renormalization are asymptotic to…

Dynamical Systems · Mathematics 2010-05-27 Artur Avila , Mikhail Lyubich

Via Gauge theory, we give a new proof of partial regularity for harmonic maps in dimension m>2 into arbitrary targets. This proof avoids the use of adapted frames and permits to consider targets of "minimal" C^2 regularity. The proof we…

Analysis of PDEs · Mathematics 2007-05-23 Tristan Riviere , Michael Struwe

Mathematical programs with vanishing constraints (MPVCs) are a class of nonlinear optimization problems with applications to various engineering problems such as truss topology design and robot motion planning. MPVCs are difficult problems…

Optimization and Control · Mathematics 2020-06-30 Tim Hoheisel , Blanca Pablos , Aram-Alexandre Pooladian , Alexandra Schwartz , Luke Steverango