1997
DOI: 10.1063/1.166233
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Chaotic transmission of waves and “cooling” of signals

Abstract: Ray dynamics in waveguide media exhibits chaotic motion. For a finite length of propagation, the large distance asymptotics is not uniform and represents a complicated combination of bunches of rays with different intermediate asymptotics. The origin of the phenomena that we call "chaotic transmission," lies in the nonuniformity of the phase space with sticky domains near the boundary of islands. We demonstrate different fractal properties of ray propagation using underwater acoustics as an example. The phenom… Show more

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Cited by 26 publications
(20 citation statements)
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“…The first term on the right-hand side is related to the wave propagation in a media with fractal properties. The fractional derivative may also appear as a result of ray chaos [16,17] or due to superdiffusive wave propagation (see also the discussion in Refs. [1,16] and corresponding references therein).…”
Section: Ginzburg-landau Equation With Fractional Derivativesmentioning
confidence: 99%
“…The first term on the right-hand side is related to the wave propagation in a media with fractal properties. The fractional derivative may also appear as a result of ray chaos [16,17] or due to superdiffusive wave propagation (see also the discussion in Refs. [1,16] and corresponding references therein).…”
Section: Ginzburg-landau Equation With Fractional Derivativesmentioning
confidence: 99%
“…For t and x < ∼ 1, so that both Gaussian and normal transport may occur we may compare (15), (16) When |x| ∼ 1, P and Q are substantially different; however for t ∼ 1, |x| > 1, one may use (16), and then the leading order terms in (16) (20) and (23) for P (x, t), which again matches Q(x, t) in (30), but with corrections. Finally if |x| and t are both large, as is |x| α /t, then we may conclude that (14) and (16) apply for P (x, t) which approximates Q(x, t) as given by (31).…”
Section: The Interaction Of Normalized and Anomalous Transportmentioning
confidence: 99%
“…2) with a periodic perturbation [23,26,30] c(z, r) = c 0 1 + µ (η − 1 + e −η ) + ε z B e −2z/B cos 2πr λ , Fig. 9 but with the parameters of the periodic perturbation, λ = 10 km and ε = 0.005.…”
Section: B Timefront Structure Under a Periodic Perturbationmentioning
confidence: 99%
“…It can be used as a stochasticity criterion for nonlinear systems under a noisy-like perturbation in a close analogy with the Chirikov's criterion for deterministic dynamical systems since the rate of decreasing of Fourier amplitudes is defined mainly by the dependence of the frequency of spatial oscillations ω on the action I. It is a linear function with Model 1 (26). In Model 2 the respective dependence ω(I) has a local maximum at I r ≃ I(H r ).…”
Section: Periodic Perturbation With a Multiplicative Noise Superimmentioning
confidence: 99%