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Benoît Saussol

Researcher at Centre national de la recherche scientifique

Publications -  69
Citations -  2600

Benoît Saussol is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Dynamical systems theory & Measure (mathematics). The author has an hindex of 23, co-authored 67 publications receiving 2431 citations. Previous affiliations of Benoît Saussol include Instituto Superior Técnico & University of Picardie Jules Verne.

Papers
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A probabilistic approach to intermittency

TL;DR: This method essentially gives the optimal polynomial bound for the decay of correlations, the degree depending on the order of the tangency at the neutral fixed point.
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Statistics of Return Times:¶A General Framework and New Applications

TL;DR: In this article, the authors provided general estimates for the errors between the distribution of the first, and more generally, the K − th return time (suitably rescaled) and the Poisson law for measurable dynamical systems.
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Absolutely continuous invariant measures for multidimensional expanding maps

TL;DR: In this paper, the existence and statistical properties of absolutely continuous invariant measures for multidimensional expanding maps with singularities were investigated and the key point is the establishment of a spectral gap in the spectrum of the transfer operator.
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Hausdorff dimension of measures via poincar e recurrence

TL;DR: In particular, for an equilibrium measure on a locally maximal hyper-bolic set of a C 1+ dieomorphism f, this article showed that the recurrence rate to each point coincides almost everywhere with the Hausdor dimension of the measure, that is, inffk > 0 : f k x2 B(x;r)g r d.
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Variational principles and mixed multifractal spectra

TL;DR: In this article, the conditional variational principle is used to study the regularity of the spectra and the full dimensionality of their irregular sets for several classes of dynamical systems, including the class of maps with upper semi-continuous metric entropy.