
The spectra of the second quantization and the symmetric second quantization of a strict Hilbert space contraction are computed explicitly and shown to coincide. As an application, we compute the spectrum of the nonsymmetric Ornstein–Uhlenbeck operator L associated with the infinite-dimensional Langevin equation [Formula: see text] where A is the generator of a strongly continuous semigroup on a Banach space E and W is a cylindrical Wiener process in E. Assuming the existence of an invariant measure μ for L, under suitable assumptions on A we show that the spectrum of L in the space Lp (E, μ) (1< p< ∞) is given by [Formula: see text] where Aμ is the generator of a Hilbert space contraction semigroup canonically associated with A and μ. We prove that the assumptions on A are always satisfied in the strong Feller case and in the finite-dimensional case. In the latter case we recover the recent Metafune–Pallara–Priola formula for σ(L).
PDEs on infinite-dimensional (e.g., function) spaces (= PDEs in infinitely many variables), strong Feller property, infinite dimensional Langevin equation, General topics in linear spectral theory for PDEs, Wiener process, Groups and semigroups of linear operators, strongly continuous semigroup, Metafune-Pallara-Priola formula, Stochastic partial differential equations (aspects of stochastic analysis), contraction semigroup, symmetric Fock space, Geometry and quantization, symplectic methods, Markov semigroups and applications to diffusion processes
PDEs on infinite-dimensional (e.g., function) spaces (= PDEs in infinitely many variables), strong Feller property, infinite dimensional Langevin equation, General topics in linear spectral theory for PDEs, Wiener process, Groups and semigroups of linear operators, strongly continuous semigroup, Metafune-Pallara-Priola formula, Stochastic partial differential equations (aspects of stochastic analysis), contraction semigroup, symmetric Fock space, Geometry and quantization, symplectic methods, Markov semigroups and applications to diffusion processes
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