Abstract:We prove existence and uniqueness of mild and generalized solutions for a class of stochastic semilinear evolution equations driven by additive Wiener and Poisson noise. The non-linear drift term is supposed to be the evaluation operator associated to a continuous monotone function satisfying a polynomial growth condition. The results are extensions to the jump-diffusion case of the corresponding ones proved in [4] for equations driven by purely discontinuous noise.
“…x , which implies that condition (7), hence also the assumptions of theorem 3.6, are satisfied if we can find α and η such that 1 − α − η > 1/2. This is possible if m is sufficiently large, so that B ∈ γ(L 2 , L q ) with q large and d/(2q) is smaller than, say, 1/4.…”
Section: Non-degeneracy Of the Malliavin Derivativementioning
confidence: 91%
“…Remark 2.3. Further well-posedness results in L q spaces for semilinear parabolic SPDEs of accretive type, with more natural assumptions on the nonlinear drift term f , can be found in [7,8,10,11,12]. See also [2] for related results in spaces of continuous functions.…”
We prove absolute continuity of the law of the solution, evaluated at fixed points in time and space, to a parabolic dissipative stochastic PDE on L 2 (G), where G is an open bounded domain in R d with smooth boundary. The equation is driven by a multiplicative Wiener noise and the nonlinear drift term is the superposition operator associated to a real function which is assumed to be monotone, locally Lipschitz continuous, and growing not faster than a polynomial. The proof, which uses arguments of the Malliavin calculus, crucially relies on the well-posedness theory in the mild sense for stochastic evolution equations in Banach spaces.
“…x , which implies that condition (7), hence also the assumptions of theorem 3.6, are satisfied if we can find α and η such that 1 − α − η > 1/2. This is possible if m is sufficiently large, so that B ∈ γ(L 2 , L q ) with q large and d/(2q) is smaller than, say, 1/4.…”
Section: Non-degeneracy Of the Malliavin Derivativementioning
confidence: 91%
“…Remark 2.3. Further well-posedness results in L q spaces for semilinear parabolic SPDEs of accretive type, with more natural assumptions on the nonlinear drift term f , can be found in [7,8,10,11,12]. See also [2] for related results in spaces of continuous functions.…”
We prove absolute continuity of the law of the solution, evaluated at fixed points in time and space, to a parabolic dissipative stochastic PDE on L 2 (G), where G is an open bounded domain in R d with smooth boundary. The equation is driven by a multiplicative Wiener noise and the nonlinear drift term is the superposition operator associated to a real function which is assumed to be monotone, locally Lipschitz continuous, and growing not faster than a polynomial. The proof, which uses arguments of the Malliavin calculus, crucially relies on the well-posedness theory in the mild sense for stochastic evolution equations in Banach spaces.
“…Similar stopping time arguments have been used by many authors including Gyöngy and Rovira for Burgers-type equations [14]. There have been other recent investigations of SPDEs on finite spatial domains and Banach-space-valued stochastic processes more generally that are exposed to nonlinearities that are not Lipschitz continuous [9,13,[18][19][20].…”
We prove the existence and uniqueness of the mild solution for a nonlinear stochastic heat equation defined on an unbounded spatial domain. The nonlinearity is not assumed to be globally, or even locally, Lipschitz continuous. Instead the nonlinearity is assumed to satisfy a one-sided Lipschitz condition. First, a strengthened version of the Kolmogorov continuity theorem is introduced to prove that the stochastic convolutions of the fundamental solution of the heat equation and a spatially homogeneous noise grow no faster than polynomially. Second, a deterministic mapping that maps the stochastic convolution to the solution of the stochastic heat equation is proven to be Lipschitz continuous on polynomially weighted spaces of continuous functions. These two ingredients enable the formulation of a Picard iteration scheme to prove the existence and uniqueness of the mild solution.
“…Remark 2.3 Further well-posedness results in L q spaces for semilinear parabolic SPDEs of accretive type, with more natural assumptions on the nonlinear drift term f , can be found in [7,8,[10][11][12]. See also [2] for related results in spaces of continuous functions.…”
We prove absolute continuity of the law of the solution, evaluated at fixed points in time and space, to a parabolic dissipative stochastic PDE on L2(G), where G is an open bounded domain in $\mathbb {R}^{d}$
ℝ
d
with smooth boundary. The equation is driven by a multiplicative Wiener noise and the nonlinear drift term is the superposition operator associated to a real function that is assumed to be monotone, locally Lipschitz continuous, and growing not faster than a polynomial. The proof, which uses arguments of the Malliavin calculus, crucially relies on the well-posedness theory in the mild sense for stochastic evolution equations in Banach spaces.
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