2010
DOI: 10.1103/physreve.82.036205
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Structure of characteristic Lyapunov vectors in anharmonic Hamiltonian lattices

Abstract: In this work we perform a detailed study of the scaling properties of Lyapunov vectors (LVs) for two different one-dimensional Hamiltonian lattices: the Fermi-Pasta-Ulam and Φ 4 models. In this case, characteristic (also called covariant) LVs exhibit qualitative similarities with those of dissipative lattices but the scaling exponents are different and seemingly nonuniversal. In contrast, backward LVs (obtained via Gram-Schmidt orthonormalizations) present approximately the same scaling exponent in all cases, … Show more

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Cited by 22 publications
(27 citation statements)
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“…This does not occur all the time but in an intermittent manner. Interestingly, these structural features-namely, replication and clustering-have recently been reported to occur generically for LVs in chaotic spatially extended systems [23][24][25]. This deepens in the analogy between DDSs and systems with extensive chaos in one dimension, which happens to hold even at the level of non-leading LVs.…”
Section: Long-range Correlations Of Lyapunov Vectorsmentioning
confidence: 98%
See 1 more Smart Citation
“…This does not occur all the time but in an intermittent manner. Interestingly, these structural features-namely, replication and clustering-have recently been reported to occur generically for LVs in chaotic spatially extended systems [23][24][25]. This deepens in the analogy between DDSs and systems with extensive chaos in one dimension, which happens to hold even at the level of non-leading LVs.…”
Section: Long-range Correlations Of Lyapunov Vectorsmentioning
confidence: 98%
“…The fact that the LV surfaces obey scaling laws and that systems with spatiotemporal chaos could be divided into a few universality classes, according to the scaling of the associated surfaces, has implications in our understanding of chaos in extended systems from a statistical physics point of view. Moreover, the generic replication and clustering of characteristic LVs along the main vector direction in extended systems [23][24][25] (also observed here for time-delay systems, see previous section) makes it even more interesting to determine the universality class of the main LV, since this is expected to provide a great deal of information about the structure of space and time correlations of the LV corresponding to leading as well as sub-leading unstable directions.…”
Section: Main Lyapunov Vector and The Universality Class Questionmentioning
confidence: 99%
“…Two identical chaotic systems, one described with MKS units and the other with cgs units exhibit the same (time-averaged) rates of divergence even though the mass and length scales differ. It is also possible, usual, and useful to define "local" or "instantaneous" Lyapunov exponents by following two or more constrained trajectories and measuring their tendencies to separate or approach each other as a function of the time of measurement [1][2][3][4][5][6][7][8][9]15]. The MKS and cgs values of these local exponents differ.…”
Section: Local and Global Gram-schmidt Covariant Vectors And Exponmentioning
confidence: 99%
“…We reïterate that this symmetry can be violated, for short times, in response to inhomogeneities or to "external perturbations". [15] By now many groups [1][2][3][4][5][6] have illustrated the algebraic steps necessary to map the "covariant" exponents from one coordinate system to another. A careless reader of some of this work might well conclude (as we did) that "covariant" vectors and exponents are somehow coordinate-frame independent.…”
Section: Local and Global Gram-schmidt Covariant Vectors And Exponmentioning
confidence: 99%
“…Recently, reasonably efficient algorithms for the computation of covariant vectors have become available [4,5], which were applied to a variety of systems [1,6,7]. In the panel on the left of the figure we demonstrate the time-reversal symmetry displayed by the local covariant exponents for a one-dimensional harmonic oscillator coupled to a position-dependent temperature T (q) = 1 + ε tanh(q) with a two-stage Nosé-Hoover thermostat, which makes use of two thermostat variables [1].…”
mentioning
confidence: 99%