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20082022
most citedErgodic optimization in dynamical systems

80 citations · 127 across the 7 of their papers we have counts for

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8 papers · 1 filter

math.DS2022

A dynamical approach to validated numerics

Oliver Jenkinson, Mark Pollicott

We describe a method, using periodic points and determinants, for giving alternative expressions for dynamical quantities (including Lyapunov exponents and Hausdorff dimension of i…

math.DS2020★ 3 cited

How many inflections are there in the Lyapunov spectrum?

Oliver Jenkinson, Mark Pollicott, Polina Vytnova

Iommi & Kiwi showed that the Lyapunov spectrum of an expanding map need not be concave, and posed various problems concerning the possible number of inflection points. In this pape…

math.DS2017★ 80 cited

Ergodic optimization in dynamical systems

Oliver Jenkinson

Ergodic optimization is the study of problems relating to maximizing orbits, maximizing invariant measures and maximum ergodic averages. An orbit of a dynamical system is called f-…

math.DS2016★ 36 cited

Rigorous effective bounds on the Hausdorff dimension of continued fraction Cantor sets: a hundred decimal digits for the dimension of

Oliver Jenkinson, Mark Pollicott

We prove that the algorithm of [13] for approximating the Hausdorff dimension of dynamically defined Cantor sets, using periodic points of the underlying dynamical system, can be u…

math.DS2015

Joint spectral radius, Sturmian measures, and the finiteness conjecture

Oliver Jenkinson, Mark Pollicott

The joint spectral radius of a pair of 2x2 real matrices is defined to be $r(A_0,A_1)= \limsup_{n\to\infty} \max \{\|A_{i_1}...A_{i_n}\|^{1/n}: i_j…

math.DS2008

Explicit eigenvalue estimates for transfer operators

Oscar F. Bandtlow, Oliver Jenkinson

We consider transfer operators acting on spaces of holomorphic functions, and provide explicit bounds for their eigenvalues. More precisely, if D is any open set in C^d, and L is a…