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We deal with the regularity problem for linear, second order parabolic equations and systems in divergence form with measurable data over non-smooth domains, related to variational problems arising in the modeling of composite materials and…

Analysis of PDEs · Mathematics 2025-12-10 Sun-Sig Byun , Dian K. Palagachev , Lubomira G. Softova

First-order optimization algorithms, often preferred for large problems, require the gradient of the differentiable terms in the objective function. These gradients often involve linear operators and their adjoints, which must be applied…

Optimization and Control · Mathematics 2017-07-10 James Folberth , Stephen Becker

We consider a possibly degenerate Kolmogorov-Ornstein-Uhlenbeck operator of the form L = Tr(BD 2) + Az, D , where A, B are N x N matrices, z $\in$ R N , N $\ge$ 1, which satisfy the Kalman condition which is equivalent to the…

Analysis of PDEs · Mathematics 2021-09-28 L. Marino , S. Menozzi , E. Priola

We develop techniques for determining an explicit Berry-Esseen bound in the Kolmogorov distance for the normal approximation of a ratio of Gaussian functionals. We provide an upper bound in terms of the third and fourth cumulants, using…

Probability · Mathematics 2023-12-07 Khalifa Es-Sebaiy , Fares Alazemi

We study the null-controllability of some hypoelliptic quadratic parabolic equations posed on the whole Euclidean space with moving control supports, and provide necessary or sufficient geometric conditions on the moving control supports to…

Analysis of PDEs · Mathematics 2019-08-29 Karine Beauchard , Michela Egidi , Karel Pravda-Starov

Chernoff approximations to strongly continuous one-parameter semigroups give solutions to a wide class of differential equations. This paper studies the rate of convergence of the Chernoff approximations. We provide simple natural examples…

Functional Analysis · Mathematics 2021-11-02 Oleg E. Galkin , Ivan D. Remizov

We discuss the issue of maximal regularity for evolutionary equations with non-autonomous coefficients. Here evolutionary equations are abstract partial-differential algebraic equations considered in Hilbert spaces. The catch is to consider…

Analysis of PDEs · Mathematics 2020-07-01 Sascha Trostorff , Marcus Waurick

Pointwise estimates for the gradient of solutions to the $p$-Laplace system with right-hand side in divergence form are established. They enable us to develop a nonlinear counterpart of the classical Calder\'on-Zygmund theory in terms of…

Analysis of PDEs · Mathematics 2015-10-12 Dominic Breit , Andrea Cianchi , Lars Diening , Tuomo Kuusi , Sebastian Schwarzacher

We provide a framework to determine the upper bound to the complexity of a computing a given observable with respect to a Hamiltonian. By considering the Heisenberg evolution of the observable, we show that each Hamiltonian defines an…

Quantum Physics · Physics 2025-08-04 Igor Ermakov , Tim Byrnes , Oleg Lychkovskiy

In this paper we extend classical criteria for determining lower bounds for the least point of the essential spectrum of second-order elliptic differential operators on domains $\Omega\subset\R^n$ allowing for degeneracy of the coefficients…

Spectral Theory · Mathematics 2011-03-08 Roger T. Lewis

We prove the well-posedness and regularity of solutions in mixed-norm weighted Sobolev spaces for a class of second-order parabolic and elliptic systems in divergence form in the half-space $\mathbb{R}^d_+ = \{x_d > 0\}$ subject to the…

Analysis of PDEs · Mathematics 2026-05-22 Bekarys Bekmaganbetov , Hongjie Dong

We prove gradient estimates for transition Markov semigroups $(P_t)$ associated to SDEs driven by multiplicative Brownian noise having possibly unbounded $C^1$-coefficients, without requiring any monotonicity type condition. In particular,…

Probability · Mathematics 2018-09-25 Giuseppe Da Prato , Enrico Priola

In this paper, we establish gradient bounds for $p(\cdot)$-harmonic differential forms subject to a Coulomb-type gauge condition. For variable exponents satisfying the log-H\"older continuity assumption, we derive higher integrability…

Analysis of PDEs · Mathematics 2026-05-22 Anna Balci , Swarnendu Sil , Mikhail Surnachev

The higher step Grushin operators $\Delta_{\alpha}$ are a family of sub-elliptic operators which degenerate on a sub-manifold of $\mathbb{R}^{n+m}$. This paper establishes Carleman-type inequalities for these operators. It is achieved by…

Analysis of PDEs · Mathematics 2024-02-13 Hendrik De Bie , Pan Lian

We provide sufficient conditions of local solvability for partial differential operators with variable Colombeau coefficients. We mainly concentrate on operators which admit a right generalized pseudodifferential parametrix and on operators…

Analysis of PDEs · Mathematics 2009-02-04 Claudia Garetto

We consider strongly degenerate parabolic operators of the form \[ \mathcal{L}:=\nabla_X\cdot(A(X,Y,t)\nabla_X)+X\cdot\nabla_Y-\partial_t \] in unbounded domains \[ \Omega=\{(X,Y,t)=(x,x_{m},y,y_{m},t)\in\mathbb R^{m-1}\times\mathbb…

Analysis of PDEs · Mathematics 2021-06-17 M. Litsgård , K. Nyström

The paper is a comprehensive study of the $L_p$ and the Schauder estimates for higher-order divergence type parabolic systems with discontinuous coefficients in the half space and cylindrical domains with conormal derivative boundary…

Analysis of PDEs · Mathematics 2014-01-31 Hongjie Dong , Hong Zhang

We consider a class of uncertain linear time-invariant overparametrized systems affected by bounded disturbances, which are described by a known exosystem with unknown initial conditions. For such systems an exponentially stable extended…

Systems and Control · Electrical Eng. & Systems 2024-02-14 Anton Glushchenko , Konstantin Lastochkin

In this paper we construct examples of commuting ordinary scalar differential operators with polynomial coefficients that are related to a spectral curve of an arbitrary genus g>0 and to an arbitrary rank r>1 of the vector bundle of common…

Classical Analysis and ODEs · Mathematics 2013-03-19 O. I. Mokhov

This paper introduces an iterative algorithm for training nonparametric additive models that enjoys favorable memory storage and computational requirements. The algorithm can be viewed as the functional counterpart of stochastic gradient…

Machine Learning · Statistics 2026-01-01 Xin Chen , Jason M. Klusowski