Continuous local martingales and stochastic integration in UMD Banach spaces
By Mark Veraar. 2007
213 citations recorded by the source corpus.
Subfields: Applied Mathematics, Finance, Mathematical Physics
View Paper: https://www.semanticscholar.org/paper/7a4bca77cfdaee73a3e66e5d6f72b9d2c5719ecc
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In Applied Mathematics
- J. V. Neerven
- Mark Veraar
- Lutz Weis
- Lucio Galeati
- Arnulf Jentzen
- Sonja G. Cox
- Petru A. Cioica-Licht
- Massimiliano Gubinelli
In Finance
- J. V. Neerven
- Mark Veraar
- Lutz Weis
- Lucio Galeati
- Giuseppe Da Prato
- Massimiliano Gubinelli
- Sonja G. Cox
- Petru A. Cioica-Licht
In Mathematical Physics
- J. V. Neerven
- Mark Veraar
- Lutz Weis
- Lucio Galeati
- Sonja G. Cox
- Petru A. Cioica-Licht
- Massimiliano Gubinelli
- Zdzisław Brzeźniak
Citations in the corpus
- Stochastic integration in quasi-Banach spaces (2006, methodology): “Regarding stochastic integrands, as already mentioned above, our approach is similar in spirit to the stochastic integration theory in Banach spaces with the UMD property that was developed in [71] (a survey can be found in [73]).”
- Uniformly gamma-radonifying families of operators and and the stochastic Weiss conjecture (2006, unknown): “In a parallel development, γ–radonifying norms have been used recently to extend the theory of stochastic integration to the Banach space setting, first for operatorvalued functions taking values in arbitrary Banach spaces [36, 37] and subsequently for operator-valued processes taking values in UMD ”
- Ito's formula in UMD Banach spaces and regularity of solutions of the Zakai equation (2008, methodology): “Using the theory of stochastic integration in UMD spaces developed recently in [23], an Itô formula is proved which is subsequently applied to the duality mapping defined on the UMD space E × E, (x, x) 7→ 〈x, x〉.”
- Noiseless regularisation by noise (2020, background): “In the above statement, γ(L(2)(R+), X) stands for the p-th γ-Radonifying norm; we omit the precise definition, which can be found in [49], [50].”
- Stochastic Integration in Banach Spaces - a Survey (2013, methodology): “Earlier versions of this result, as well as related characterisations, can be found in [76, 77].”
- The nonlinear stochastic Schrödinger equation via stochastic Strichartz estimates (2016, unknown): “ide of (2.3) in Lq(0;T;Lp(Rd))-spaces for q;p > 2:This can be done by the theory of stochastic integration in martingale type 2 spaces, see [Brz97] and the references therein or in UMD spaces, see [vNVW07]. The tool to estimate the stochastic convolution (2.3) is the following result due to Brzez”
- General Pontryagin-Type Stochastic Maximum Principle and Backward Stochastic Evolution Equations in Infinite Dimensions (2012, background): “[21, 22]) does not fit the present case because, if a Banach space is UMD, then it is reflexive.”
- A mild Itô formula for SPDEs (2010, background): “ues in UMD Banach spaces (see Theorem 2.4 in Brze´zniak, Van Neerven, Veraar & Weis [9]). Details on the stochastic integration in UMD Banach spaces can be found in Van Neerven, Veraar & Weis [102, 103] and in the references therein. Another possible generalization is to consider more genera”