Abstract
Recent results on linear stochastic partial differential equations driven by Volterra processes with linear or bilinear noise are briefly reviewed and partially extended. In the linear case, existence and regularity properties of stochastic convolution integral are established and the results are applied to 1D linear parabolic PDEs with boundary noise of Volterra type. For the equations with bilinear noise, existence and large time behaviour of solutions are studied.
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References
Alòs, E., Mazet, O., Nualart, D.: Stochastic calculus with respect to Gaussian processes. Ann. Probab. 29(2), 766–801 (2001)
Alòs, E., Nualart, D.: Stochastic integration with respect to the fractional Brownian motion. Stoch. Stoch. Rep. 75(3), 129–152 (2003)
Čoupek, P., Maslowski, B.: Stochastic evolution equations with Volterra noise. Stoch. Proc. Appl. 127(3), 877–900 (2017)
Da Prato, G., Zabczyk, J.: Stochastic Equations in Infinite Dimensions, 2nd edn. Oxford University Press, Encyclopedia of Mathematics and its Applications (2014)
Decreusefond, L., Üstünel, A.S.: Stochastic analysis of the fractional Brownian motion. Potential Anal. 10(2), 177–214 (1999)
Duncan, T.E., Maslowski, B., Pasik-Duncan, B.: Fractional Brownian motion and stochastic equations in Hilbert spaces. Stoch. Dyn. 2(2), 225–250 (2002)
Duncan, T.E., Maslowski, B., Pasik-Duncan, B.: Stochastic equations in Hilbert spaces with a multiplicative fractional Gaussian noise. Stoch. Proc. Appl. 115(8), 1357–1383 (2005)
Duncan, T.E., Maslowski, B., Pasik-Duncan, B.: Stochastic linear-quadratic control for bilinear evolution equations driven by Gauss-Volterra processes (2016).
Lebovits, J.: Stochastic calculus with respect to Gaussian processes: Part I (2017). URL https://arxiv.org/abs/1703.08393
Maslowski, B.: Stability of semilinear equations with boundary and pointwise noise. Ann. Scuola Norm. - Sci. 22(1), 55–93 (1995)
Nualart, D.: The Malliavin Calculus and Related Topics. Springer, Probability and its applications (2006)
Šnupárková, J., Maslowski, B.: Stochastic affine evolution equations with multiplicative fractional noise (2016). URL https://arxiv.org/abs/1609.00582
Taqqu, M.S.: The Rosenblatt process. In: Davis, R.A., Lii, K.S., Politis, D.N. (eds.) Selected Works of Murray Rosenblatt, pp. 29–45. Springer, New York (2011)
Tudor, C.A.: Analysis of the Rosenblatt process. ESAIM Probab. Stat. 12, 230–257 (2008)
Acknowledgements
The authors are grateful to the anonymous referee for their valuable suggestions. The first author was supported by the Charles University grant GAUK No. 322715 and SVV 2016 No. 260334. The second author was supported by the Czech Science Foundation grant GAČR No. 15-08819S.
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Čoupek, P., Maslowski, B., Šnupárková, J. (2018). SPDEs with Volterra Noise. In: Eberle, A., Grothaus, M., Hoh, W., Kassmann, M., Stannat, W., Trutnau, G. (eds) Stochastic Partial Differential Equations and Related Fields. SPDERF 2016. Springer Proceedings in Mathematics & Statistics, vol 229. Springer, Cham. https://doi.org/10.1007/978-3-319-74929-7_7
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DOI: https://doi.org/10.1007/978-3-319-74929-7_7
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