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arxiv: 1302.2756 · v2 · pith:ETL4KXKSnew · submitted 2013-02-12 · 🧮 math-ph · math.MP

On the convergence to a statistical equilibrium for the wave equations coupled to a particle

classification 🧮 math-ph math.MP
keywords convergenceequationsinitialmeasuresmixingparticlepropertiesrandom
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We consider a linear Hamiltonian system consisting of a classical particle and a scalar field describing by the wave or Klein-Gordon equations with variable coefficients. The initial data of the system are supposed to be a random function which has some mixing properties. We study the distribution \mu_t of the random solution at time moments t\in\R. The main result is the convergence of \mu_t to a Gaussian probability measure as t\to\infty. The mixing properties of the limit measures are studied. The application to the case of Gibbs initial measures is given.

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