Abstract
In this chapter we establish a conditional variational principle for flows with a locally maximal hyperbolic set. In other words, we express the topological entropy of the level sets of the Birkhoff averages of a given function in terms of a conditional variational principle. As an application of this principle, we establish the analyticity of several classes of multifractal spectra for hyperbolic flows. In particular, we consider the multifractal spectra for the local entropies and for the Lyapunov exponents.
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References
L. Barreira and B. Saussol, Multifractal analysis of hyperbolic flows, Commun. Math. Phys. 214 (2000), 339–371.
L. Barreira and B. Saussol, Variational principles and mixed multifractal spectra, Trans. Am. Math. Soc. 353 (2001), 3919–3944.
L. Barreira and B. Saussol, Variational principles for hyperbolic flows, Fields Inst. Commun. 31 (2002), 43–63.
A. Katok and B. Hasselblatt, Introduction to the Modern Theory of Dynamical Systems, Encyclopedia of Mathematics and Its Applications 54, Cambridge University Press, Cambridge, 1995.
Ya. Pesin, Dimension Theory in Dynamical Systems: Contemporary Views and Applications, Chicago Lectures in Mathematics, Chicago University Press, Chicago, 1997.
Ya. Pesin and V. Sadovskaya, Multifractal analysis of conformal axiom A flows, Commun. Math. Phys. 216 (2001), 277–312.
D. Ruelle, Thermodynamic Formalism, Encyclopedia of Mathematics and Its Applications 5, Addison-Wesley, Reading, 1978.
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Barreira, L. (2013). Entropy Spectra. In: Dimension Theory of Hyperbolic Flows. Springer Monographs in Mathematics. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00548-5_9
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DOI: https://doi.org/10.1007/978-3-319-00548-5_9
Publisher Name: Springer, Heidelberg
Print ISBN: 978-3-319-00547-8
Online ISBN: 978-3-319-00548-5
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