The platform will undergo maintenance on Sep 14 at about 9:30 AM EST and will be unavailable for approximately 1 hour.
2013
DOI: 10.1016/j.jfa.2013.02.020
|View full text |Cite
|
Sign up to set email alerts
|

Approximation and convergence of solutions to semilinear stochastic evolution equations with jumps

Abstract: We prove that the mild solution to a semilinear stochastic evolution equation on a Hilbert space, driven by either a square integrable martingale or a Poisson random measure, is (jointly) continuous, in a suitable topology, with respect to the initial datum and all coefficients. In particular, if the leading linear operators are maximal (quasi-)monotone and converge in the strong resolvent sense, the drift and diffusion coefficients are uniformly Lipschitz continuous and converge pointwise, and the initial dat… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
16
0

Year Published

2014
2014
2024
2024

Publication Types

Select...
8
2

Relationship

3
7

Authors

Journals

citations
Cited by 21 publications
(16 citation statements)
references
References 15 publications
(33 reference statements)
0
16
0
Order By: Relevance
“…According to the recent literature, it is also important to note that the BSDEs techniques investigated in the present paper are also strongly connected to theoretical and, respectively, applied, questions (see, e.g., [43,44]) that can lead to highly interesting developments, also from the statistical point of view.…”
Section: Theorem 16 Let One Consider the Forward-backward Delayed Symentioning
confidence: 86%
“…According to the recent literature, it is also important to note that the BSDEs techniques investigated in the present paper are also strongly connected to theoretical and, respectively, applied, questions (see, e.g., [43,44]) that can lead to highly interesting developments, also from the statistical point of view.…”
Section: Theorem 16 Let One Consider the Forward-backward Delayed Symentioning
confidence: 86%
“…To clarify the notation, from now on we indicate the elements of the gPC basis as {Ψ n (x)} n∈N the family of Hermite or Legendre polynomials. We would like to underline that, from a more theoretical point of view, other (approximations) approaches can also be pursued, as, e.g., exploiting techniques outlined in [19], or studying related asymptotics for the involved financial quantities, see, e.g., [2,10] and references therein. The latter approach having the advantage to treat directly small perturbations arising in financial markets, particularly with respect to the consideration of limiting cases for the parameters, as, e.g., w.r.t.…”
Section: Generalized Polynomial Chaosmentioning
confidence: 99%
“…We would like to mention that this problem for the stochastic differential equations without delay have been studied intensively. Da Prato and Zabczyk [9] studied the dependence of the solution on the initial datum ξ, Marinelli et al [15,16] studied the problem for the case of Poisson noise. The dependence of the solution on the coefficients f and g were considered by Peszat and Zabczyk [18] and Seidler [19].…”
Section: Introductionmentioning
confidence: 99%