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Let $(W,H,\mu)$ be the classical Wiener space on $\R^d$. Assume that $X=(X_t(x))$ is a diffusion process satisfying the stochastic differential equation with diffusion and drift coefficients $\sigma: \R^n\to \R^n\otimes \R^d$, $b: \R^n\to…

Probability · Mathematics 2024-01-29 Ali Süleyman Üstünel

To characterize the regularity of distribution-path dependent SDEs in the initial distribution which varies in the class of probability measures on the path space, we introduce the intrinsic and Lions derivatives for probability measures on…

Probability · Mathematics 2021-02-16 Jianhai Bao , Panpan Ren , Feng-Yu Wang

A new type of gradient estimate is established for diffusion semigroups on non-compact complete Riemannian manifolds. As applications, a global Harnack inequality with power and a heat kernel estimate are derived for diffusion semigroups on…

Probability · Mathematics 2008-01-31 Marc Arnaudon , Anton Thalmaier , Feng-Yu Wang

By using lower bound conditions of the L\'evy measure, derivative formulae and Harnack inequalities are derived for linear stochastic differential equations driven by L\'evy processes. As applications, explicit gradient estimates and heat…

Probability · Mathematics 2013-08-22 Feng-Yu Wang

We consider a semimartingale market model when the underlying diffusion has a singular volatility matrix and compute the hedging portfolio for a given payoff function. Recently, the representation problem for such degenerate diffusions with…

Probability · Mathematics 2021-03-19 Mine Caglar , Ihsan Demirel , Ali Suleyman Ustunel

This article is devoted to the study of several estimations for a positive solution to a nonlinear weighted parabolic equation on a weighted Riemannian manifold. We therefore derive new Li-Yau type and Hamilton type gradient estimates…

Analysis of PDEs · Mathematics 2023-03-27 Shyamal Kumar Hui , Abimbola Abolarinwa , Sujit Bhattacharyya

In this paper we present a unified approach to establish gradient type formulas and Bismut type formulas for backward stochastic differential equations (BSDEs). This approach relies on a mix of derivative formulas with respect to the…

Probability · Mathematics 2021-03-12 Xiliang Fan , Michael Röckner , Shao-Qin Zhang

We carry out the enhanced group classification of a class of (1+1)-dimensional nonlinear diffusion-reaction equations with gradient-dependent diffusivity using the two-step version of the method of furcate splitting. For simultaneously…

Mathematical Physics · Physics 2019-12-06 Stanislav Opanasenko , Vyacheslav Boyko , Roman O. Popovych

Formulae are given for $dP_t \phi$, $d^*P_t\phi$ and $\Delta P_t\phi$ for $P_t$ the heat semigroup acting on a q-form $\phi$. The formulae are Brownian motion expectations of $\phi$ composed with random translations determined by…

Probability · Mathematics 2019-12-04 K. D. Elworthy , Xue-Mei Li

We translate in semigroup theory Bismut's way of the Malliavin calculus.

Probability · Mathematics 2007-07-17 Remi Leandre

We introduce a new framework based on Malliavin calculus to derive exact analytical expressions for the score function $\nabla \log p_t(x)$, i.e., the gradient of the log-density associated with the solution to stochastic differential…

Machine Learning · Computer Science 2025-11-25 Ehsan Mirafzali , Utkarsh Gupta , Patrick Wyrod , Frank Proske , Daniele Venturi , Razvan Marinescu

By using a general version of curvature condition, derivative inequalities are established for a large class of subelliptic diffusion semigroups. As applications, the Harnack/cost-entropy/cost-variance inequalities for the diffusion…

Probability · Mathematics 2012-03-13 Feng-Yu Wang

We propose a second order differential calculus to analyze the regularity and the stability properties of the distribution semigroup associated with McKean-Vlasov diffusions. This methodology provides second order Taylor type expansions…

Probability · Mathematics 2020-01-07 M Arnaudon , P del Moral

By using the Malliavin calculus and finite jump approximations, the Driver-type integration by parts formula is established for the semigroup associated to stochastic (partial) differential equations with noises containing a subordinate…

Probability · Mathematics 2016-01-11 Feng-Yu Wang

By using the Malliavin calculus and finite-jump approximations, the Driver-type integration by parts formula is established for the semigroup associated to stochastic differential equations with noises containing a subordinate Brownian…

Probability · Mathematics 2013-08-28 Feng-Yu Wang

We study the elliptic version of doubly nonlinear diffusion equations on a complete Riemannian manifold $(M,g)$. Through the combination of a special nonlinear transformation and the standard Nash-Moser iteration procedure, some Cheng-Yau…

Analysis of PDEs · Mathematics 2025-04-14 Chen Guo , Zhengce Zhang

Differentiability of semigroups is useful for many applications. Here we focus on stochastic differential equations whose diffusion coefficient is the square root of a differentiable function but not differentiable itself. For every…

Probability · Mathematics 2021-03-09 Martin Hutzenthaler , Daniel Pieper

We introduce a gradient flow formulation of linear Boltzmann equations. Under a diffusive scaling we derive a diffusion equation by using the machinery of gradient flows.

Mathematical Physics · Physics 2020-09-03 Giada Basile , Dario Benedetto , Lorenzo Bertini

We prove Bismut-type formulae for the first and second derivatives of a Feynman-Kac semigroup on a complete Riemannian manifold. We derive local estimates and give bounds on the logarithmic derivatives of the integral kernel. Stationary…

Differential Geometry · Mathematics 2020-03-10 James Thompson

We give an example of quasiderivatives constructed by random time change, Girsanov's Theorem and Levy's Theorem. As an application, we investigate the smoothness and estimate the derivatives up to second order for the probabilistic solution…

Probability · Mathematics 2013-03-01 Wei Zhou