2004
DOI: 10.1088/1742-5468/2004/10/l10002
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Invariant measures and entropy production in wave turbulence

Abstract: We define, for wave turbulence, probability density functions ρ (pdfs) on a suitably chosen phase space. We derive the Liouville equation for their evolution and identify their long time behaviours corresponding to equipartition and finite flux Kolmogorov–Zakharov (KZ) spectra. We demonstrate that, even in nonisolated systems, entropy production is well defined and plays an important role in the system’s evolution and we find its representation in the wave turbulence approximation.

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Cited by 16 publications
(42 citation statements)
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“…Can one show that a natural closure occurs in L d or, if not, how the natural closure arises in taking the L → ∞ limit? (Jakobsen and Newell, 2004).…”
Section: Continuum Limit Of Finite Dimensional Wave Turbulencementioning
confidence: 99%
“…Can one show that a natural closure occurs in L d or, if not, how the natural closure arises in taking the L → ∞ limit? (Jakobsen and Newell, 2004).…”
Section: Continuum Limit Of Finite Dimensional Wave Turbulencementioning
confidence: 99%
“…intermittency [8,[25][26][27][28][29]. This seems to be the case when a more general theoretical framework [30][31][32][33][34] is required, because the nonlinearities are not small [35,36].In this communication, the complete wave-turbulence theory is developed for a fully general 4-wave system, whose hamiltonian is expressed by the following canoni- …”
mentioning
confidence: 99%
“…The canonical momenta and coordinates are given by real and imaginary parts of A σ k = 1 √ 2 (P k +iσQ k ), and A σ k and a σ k are linked by the simple rotation in the complex plane used to obtain (13). Consistently with the general definition (26), the generating function of amplitudes and phases for finite box-size L is:…”
Section: Multimode Hierarchy Equationsmentioning
confidence: 99%
“…One can show that d d k λ(k) n L (k) converges in probability to d d k λ(k)n(k) for every bounded, continuous λ. This is sufficient to infer that the amplitude characteristic function defined in (26) satisfies…”
Section: Fields With Random Phases and Amplitudesmentioning
confidence: 99%
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