2007
DOI: 10.1063/1.2711373
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Duality and exact correlations for a model of heat conduction

Abstract: We study a model of heat conduction with stochastic diffusion of energy. We obtain a dual particle process which describes the evolution of all the correlation functions. An exact expression for the covariance of the energy exhibits long-range correlations in the presence of a current. We discuss the formal connection of this model with the simple symmetric exclusion process.

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Cited by 85 publications
(144 citation statements)
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References 20 publications
(36 reference statements)
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“…Unfortunately, the integrability of the underlying dynamics leads to several unphysical features (e.g., a vanishing temperature gradient) [2]. Later, purely stochastic models, where energy is assumed to diffuse between neighboring boxes (the oscillators), have been considered [4,5]. More recently, systems of harmonic oscillators exchanging energy with ''conservative'' noise have been proven to admit a unique stationary state with a constant heat flux and a linear temperature profile [6].…”
mentioning
confidence: 99%
“…Unfortunately, the integrability of the underlying dynamics leads to several unphysical features (e.g., a vanishing temperature gradient) [2]. Later, purely stochastic models, where energy is assumed to diffuse between neighboring boxes (the oscillators), have been considered [4,5]. More recently, systems of harmonic oscillators exchanging energy with ''conservative'' noise have been proven to admit a unique stationary state with a constant heat flux and a linear temperature profile [6].…”
mentioning
confidence: 99%
“…In the case of energy transport, i.e. interacting particle systems with a continuous dynamical variable (the energy) connected at their boundaries to thermal reservoirs working at different temperatures, duality has been constructed for the KipnisMarchioro-Presutti (KMP) model [8] for heat conduction and also for other models [6]. Consequences of duality include the possibility to express the n-point energy correlation functions in terms of n (interacting) random walkers.…”
mentioning
confidence: 99%
“…We describe this procedure here somewhat intuitively. The hydrodynamic limit for the BEP(m) predicts that π N (Z(t)) evolves "typically" as ρ(t, x)dx where ρ(t, x) solves the diffusion equation (19). This behavior is a manifestation of the law of large numbers and therefore one expects corresponding exponentially small (in N) large-deviation probabilities, i.e., we expect, in the sense of large deviations…”
Section: Large Deviations From the Hydrodynamic Limitmentioning
confidence: 99%
“…Also note that for the definition of the process z i , m need not be integer-any m > 0 is admissible, although the connection to an underlying Momentum Process of course only exists for integer m. The Brownian Momentum Process was introduced in Ref. 19 with imposed-temperature boundary conditions, and further studied in Refs. 20-22.…”
Section: And This Is Again a Markov Process With Generatormentioning
confidence: 99%