scholarly journals McKean–Vlasov type stochastic differential equations arising from the random vortex method

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Zhongmin Qian ◽  
Yuhan Yao
Keyword(s):  
Differential Equations ◽  
Stochastic Differential Equations ◽  
Vortex Dynamics ◽  
Existence And Uniqueness ◽  
Strong Solutions ◽  
Vortex Method ◽  
Wasserstein Distance ◽  
New Approach ◽  
Lipschitz Continuous ◽  
Space Of Distributions

AbstractWe study a class of McKean–Vlasov type stochastic differential equations (SDEs) which arise from the random vortex dynamics and other physics models. By introducing a new approach we resolve the existence and uniqueness of both the weak and strong solutions for the McKean–Vlasov stochastic differential equations whose coefficients are defined in terms of singular integral kernels such as the Biot–Savart kernel. These SDEs which involve the distributions of solutions are in general not Lipschitz continuous with respect to the usual distances on the space of distributions such as the Wasserstein distance. Therefore there is an obstacle in adapting the ordinary SDE method for the study of this class of SDEs, and the conventional methods seem not appropriate for dealing with such distributional SDEs which appear in applications such as fluid mechanics.

Strong solutions for functional SDEs with singular drift

2017 ◽  
Vol 18 (02) ◽  
pp. 1850015 ◽  
Author(s):  
Xing Huang
Keyword(s):  
Brownian Motion ◽  
Differential Equations ◽  
Stochastic Differential Equations ◽  
Existence And Uniqueness ◽  
Stable Process ◽  
Strong Solutions ◽  
Singular Drift

By using Zvonkin type transforms, existence and uniqueness are proved for a class of functional stochastic differential equations with singular drifts. The main results extend corresponding ones in [5, 11] for stochastic differential equations driven by Brownian motion and symmetric [Formula: see text]-stable process respectively.

scholarly journals The Existence of Strong Solutions for a Class of Stochastic Differential Equations

2018 ◽  
Vol 2018 ◽  
pp. 1-5
Author(s):  
Junfei Zhang
Keyword(s):  
Differential Equations ◽  
Stochastic Differential Equations ◽  
Strong Solution ◽  
Strong Solutions ◽  
Lipschitz Continuous ◽  
Discontinuous Drift ◽  
Increasing Function

In this paper, we will consider the existence of a strong solution for stochastic differential equations with discontinuous drift coefficients. More precisely, we study a class of stochastic differential equations when the drift coefficients are an increasing function instead of Lipschitz continuous or continuous. The main tools of this paper are the lower solutions and upper solutions of stochastic differential equations.

scholarly journals Weak solutions to Vlasov–McKean equations under Lyapunov-type conditions

2019 ◽  
Vol 19 (06) ◽  
pp. 1950042 ◽  
Author(s):  
Sima Mehri ◽  
Wilhelm Stannat
Keyword(s):  
Differential Equations ◽  
Stochastic Differential Equations ◽  
Total Variation ◽  
Existence And Uniqueness ◽  
Wasserstein Distance ◽  
Uniqueness Result ◽  
Total Variation Distance ◽  
Uniqueness Results ◽  
General Law ◽  
Variation Distance

We present a Lyapunov-type approach to the problem of existence and uniqueness of general law-dependent stochastic differential equations. In the existing literature, most results concerning existence and uniqueness are obtained under regularity assumptions of the coefficients with respect to the Wasserstein distance. Some existence and uniqueness results for irregular coefficients have been obtained by considering the total variation distance. Here, we extend this approach to the control of the solution in some weighted total variation distance, that allows us now to derive a rather general weak uniqueness result, merely assuming measurability and certain integrability on the drift coefficient and some non-degeneracy on the dispersion coefficient. We also present an abstract weak existence result for the solution of law-dependent stochastic differential equations with merely measurable coefficients, based on an approximation with law-dependent stochastic differential equations with regular coefficients under Lyapunov-type assumptions.

scholarly journals A note on strong solutions of stochastic differential equations with a discontinuous drift coefficient

2006 ◽  
Vol 2006 ◽  
pp. 1-6 ◽  
Author(s):  
Nikolaos Halidias ◽  
P. E. Kloeden
Keyword(s):  
Differential Equations ◽  
Stochastic Differential Equations ◽  
Upper And Lower Solutions ◽  
Strong Solutions ◽  
Heaviside Function ◽  
Lipschitz Continuous ◽  
Discontinuous Drift ◽  
Vector Valued ◽  
Increasing Function ◽  
Drift Coefficient

The existence of a mean-square continuous strong solution is established for vector-valued Itô stochastic differential equations with a discontinuous drift coefficient, which is an increasing function, and with a Lipschitz continuous diffusion coefficient. A scalar stochastic differential equation with the Heaviside function as its drift coefficient is considered as an example. Upper and lower solutions are used in the proof.

scholarly journals Existence and uniqueness of the solutions of forward-backward doubly stochastic differential equations with Poisson jumps

2020 ◽  
Vol 28 (4) ◽  
pp. 253-268
Author(s):  
AbdulRahman Al-Hussein ◽  
Boulakhras Gherbal
Keyword(s):  
Differential Equations ◽  
Stochastic Differential Equations ◽  
Existence And Uniqueness ◽  
Continuation Method ◽  
Strong Solutions ◽  
Poisson Jumps ◽  
Doubly Stochastic ◽  
Backward Equation ◽  
Different Dimensions ◽  
Fully Coupled

AbstractThe paper addresses a system of nonlinear fully coupled forward-backward doubly stochastic differential equations with Poisson jumps. These equations are allowed to live in Euclidean spaces of different dimensions, and the system is Markovian in the sense that the terminal value of the backward equation depends on the terminal value of the solution of the forward one. Under some monotonicity conditions we establish the existence and uniqueness of strong solutions of such equations by using a continuation method.

scholarly journals Yamada-Watanabe Results for Stochastic Differential Equations with Jumps

2015 ◽  
Vol 2015 ◽  
pp. 1-23 ◽  
Author(s):  
Mátyás Barczy ◽  
Zenghu Li ◽  
Gyula Pap
Keyword(s):  
Differential Equations ◽  
Stochastic Differential Equations ◽  
Existence And Uniqueness ◽  
Strong Solutions ◽  
Stochastic Equations ◽  
Original Method ◽  
Pathwise Uniqueness ◽  
General Version ◽  
Strong Existence ◽  
Weak And Strong Solutions

Recently, Kurtz (2007, 2014) obtained a general version of the Yamada-Watanabe and Engelbert theorems relating existence and uniqueness of weak and strong solutions of stochastic equations covering also the case of stochastic differential equations with jumps. Following the original method of Yamada and Watanabe (1971), we give alternative proofs for the following two statements: pathwise uniqueness implies uniqueness in the sense of probability law, and weak existence together with pathwise uniqueness implies strong existence for stochastic differential equations with jumps.

scholarly journals Fuzzy stochastic differential equations driven by fractional Brownian motion

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Hossein Jafari ◽  
Marek T. Malinowski ◽  
M. J. Ebadi
Keyword(s):  
Brownian Motion ◽  
Differential Equations ◽  
Stochastic Differential Equations ◽  
Fractional Brownian Motion ◽  
Approximation Method ◽  
Existence And Uniqueness ◽  
Financial Models ◽  
Stochastic Integral ◽  
Long Range Dependence ◽  
World Systems

AbstractIn this paper, we consider fuzzy stochastic differential equations (FSDEs) driven by fractional Brownian motion (fBm). These equations can be applied in hybrid real-world systems, including randomness, fuzziness and long-range dependence. Under some assumptions on the coefficients, we follow an approximation method to the fractional stochastic integral to study the existence and uniqueness of the solutions. As an example, in financial models, we obtain the solution for an equation with linear coefficients.

DISSIPATIVE BACKWARD STOCHASTIC DIFFERENTIAL EQUATIONS IN INFINITE DIMENSIONS

2006 ◽  
Vol 09 (01) ◽  
pp. 155-168 ◽  
Author(s):  
FULVIA CONFORTOLA
Keyword(s):  
Partial Differential Equations ◽  
Differential Equations ◽  
Stochastic Differential Equations ◽  
Hilbert Spaces ◽  
Stochastic Partial Differential Equations ◽  
Existence And Uniqueness ◽  
Backward Stochastic Differential Equations ◽  
Uniqueness Result ◽  
Infinite Dimensions ◽  
Partial Differential

We prove an existence and uniqueness result for a class of backward stochastic differential equations (BSDE) with dissipative drift in Hilbert spaces. We also give examples of stochastic partial differential equations which can be solved with our result.

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