Some Mathematical Models with a Relatively Bounded Operator and Additive "White Noise" in Spaces of Sequences
Author(s) -
K.V. Vasyuchkova,
N.A. Manakova,
G. A. Sviridyuk
Publication year - 2017
Publication title -
bulletin of the south ural state university series mathematical modelling programming and computer software
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.338
H-Index - 11
eISSN - 2308-0256
pISSN - 2071-0216
DOI - 10.14529/mmp170401
Subject(s) - white noise , bounded function , bounded operator , white (mutation) , mathematics , operator (biology) , noise (video) , white spaces , pure mathematics , mathematical analysis , computer science , telecommunications , artificial intelligence , statistics , biology , image (mathematics) , repressor , transcription factor , gene , cognitive radio , biochemistry , wireless
The article is devoted to the research of the class of stochastic models in mathematical physics on the basis of an abstract Sobolev type equation in Banach spaces of sequences, which are the analogues of Sobolev spaces. As operators we take polynomials with real coe cients from the analogue of the Laplace operator, and carry over the theory of linear stochastic equations of Sobolev type on the Banach spaces of sequences. The spaces of sequences of di erentiable "noises" are denoted, and the existence and the uniqueness of the classical solution of Showalter Sidorov problem for the stochastic equation of Sobolev type with a relatively bounded operator are proved. The constructed abstract scheme can be applied to the study of a wide class of stochastic models in mathematical physics, such as, for example, the Barenblatt Zheltov Kochina model and the Ho model.
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