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20162026
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math.PR2025

Self-normalized scaled quadratic variation

Suprio Bhar, Purba Das, Barun Sarkar

The concept of a scaled quadratic variation was originally introduced by E. Gladyshev in 1961 for processes with Gaussian increments. Using certain deterministic scaling, arrived a…

math.PR2023

Stochastic PDEs involving a bilaplacian operator

Suprio Bhar, Barun Sarkar

In this article, we study the existence and uniqueness problem for linear Stochastic PDEs involving a bilaplacian operator. Our results on the existence and uniqueness are obtained…

math.PR2023

Weak Solutions of SPDEs in the space of Tempered distributions

Suprio Bhar, Barun Sarkar

In this article, we construct weak solutions for a class of Stochastic PDEs in the space of tempered distributions via Girsanov's theorem. It is to be noted that our drift and diff…

math.PR2018

Stochastic PDEs in for SDEs driven by Lévy noise

Suprio Bhar, Rajeev Bhaskaran, Barun Sarkar

In this article we show that a finite dimensional stochastic differential equation driven by a Lévy process can be formulated as a stochastic partial differential equation. We prov…

math.PR2018

Parametric family of SDEs driven by Lévy noise

Suprio Bhar, Barun Sarkar

In this article we study the existence and uniqueness of strong solutions of a class of parameterized family of SDEs driven by Lévy noise. These SDEs occurs in connection with a cl…

math.PR2017

Solutions of SPDE's associated with a stochastic flow

Suprio Bhar, Rajeev Bhaskaran, Barun Sarkar

We consider the following stochastic partial differential equation, \begin{align*} &dY_t=L^\ast Y_tdt+A^\ast Y_t\cdot dB_t\\ &Y_0=ψ, \end{align*} associated with a stochastic flow…

math.PR2016

Ito formula for mild solutions of SPDEs with Gaussian and non-Gaussian noise and applications to stability properties

S. Albeverio, L. Gawarecki, V. Mandrekar +2

We use Yosida approximation to find an Itô formula for mild solutions of SPDEs with Gaussian and non-Gaussian coloured noise, the non Gaussian nois…