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We establish differentiability properties of the value function of problems of Static Optimization in an abstract infinite dimensional setting and we apply that to problems of Calculus of Variations. We lighten the assumptions of existing…

Optimization and Control · Mathematics 2021-08-25 Joël Blot , Hasan Yilmaz

We provide a new proof of a important theorem in the Lagrangian formalism about necessary and sufficient conditions for a second-order variational system of equations to follow from a first-order Lagrangian.

High Energy Physics - Theory · Physics 2008-11-26 Dan Radu Grigore

We obtain the existence, uniqueness and regularity results for solutions to kinetic Fokker-Planck equations with bounded measurable coefficients in the presence of boundary conditions, including the inflow, diffuse reflection and specular…

Analysis of PDEs · Mathematics 2025-02-25 Yuzhe Zhu

We study kth order systems of two rational difference equations $$x_n=\frac{\alpha+\sum^{k}_{i=1}\beta_{i}x_{n-i} + \sum^{k}_{i=1}\gamma_{i}y_{n-i}}{A+\sum^{k}_{j=1}B_{j}x_{n-j} + \sum^{k}_{j=1}C_{j}y_{n-j}},\quad n\in\mathbb{N},$$…

Dynamical Systems · Mathematics 2009-09-30 Gabriel Lugo , Frank J. Palladino

We prove a necessary optimality condition of Euler-Lagrange type for quantum variational problems involving Hahn's derivatives of higher-order.

Optimization and Control · Mathematics 2011-11-11 Artur M. C. Brito da Cruz , Natalia Martins , Delfim F. M. Torres

Farkas established that a system of linear inequalities has a solution if and only if we cannot obtain a contradiction by taking a linear combination of the inequalities. We state and formally prove several Farkas-like theorems over…

Optimization and Control · Mathematics 2026-03-18 Martin Dvorak , Vladimir Kolmogorov

By applying the perturbation function approach, we propose the Lagrangian and the conjugate duals for minimization problems of the sum of two, generally nonconvex, functions. The main tools are the $\Phi$-convexity theory and minimax…

Optimization and Control · Mathematics 2021-10-05 Ewa M. Bednarczuk , Monika Syga

We give new computable necessary conditions for a class of optimal transportation problems to have smooth solutions.

Analysis of PDEs · Mathematics 2010-05-25 Paul W. Y. Lee

A refined version of the strong maximum principle is proven for a class of second order ordinary differential equations with possibly discontinuous non-monotone nonlinearities. Then, exploiting this tool, some optimal regularity results…

Analysis of PDEs · Mathematics 2022-05-25 Julian Lopez-Gomez , Pierpaolo Omari

We use a Carleman type inequality of Koch and Tataru to obtain quantitative estimates of unique continuation for solutions of second order elliptic equations with singular lower order terms. First we prove a three sphere inequality and then…

Analysis of PDEs · Mathematics 2012-09-20 E. Malinnikova , S. Vessella

The paper extends the widely used in optimisation theory decoupling techniques to infinite collections of functions. Extended concepts of uniform lower semicontinuity and firm uniform lower semicontinuity are discussed. The main theorems…

Optimization and Control · Mathematics 2025-06-23 Abderrahim Hantoute , Alexander Y. Kruger , Marco A. Lopez

In this paper, we derive an optimal first-order Taylor-like formula. In a seminal paper [14], we introduced a new first-order Taylor-like formula that yields a reduced remainder compared to the classical Taylor's formula. Here, we relax the…

Numerical Analysis · Mathematics 2023-11-27 Joël Chaskalovic , Franck Assous

Using quantization techniques, we show that the $\delta$-invariant of Fujita-Odaka coincides with the optimal exponent in certain Moser-Trudinger type inequality. Consequently we obtain a uniform Yau-Tian-Donaldson theorem for the existence…

Differential Geometry · Mathematics 2023-12-04 Kewei Zhang

The asymptotic Karush-Kuhn-Tucker (AKKT) optimality conditions are distinguished from other approaches in the literature by virtue of their capacity to be effectively derived through numerical methods, such as the utilization of an…

Optimization and Control · Mathematics 2026-05-29 Rodrigo B. Moreira , Moisés R. C. do Monte , Valeriano A. de Oliveira

In this paper, we propose an extension to mixed multidimensional constraints of the problem of state and input constrained control introduced in DeDona and L\'evine, SIAM J. Control and Optimiz., Vol. 51, 2013, where the admissible set,…

Optimization and Control · Mathematics 2015-08-10 Willem Esterhuizen , Jean Lévine

The main objective of this work is to study the existence of Lagrange multipliers for infinite dimensional problems under G\^ateux differentiability assumptions on the data. Our investigation follows two main steps: the proof of the…

Optimization and Control · Mathematics 2018-10-30 Abderrahim Jourani , Francisco J. Silva

We prove stronger variants of a multiplier theorem of Kislyakov. The key ingredients are based on ideas of Kislaykov and the Kahane-Salem-Zygmund inequality. As a by-product we show various multiplier theorems for spaces of trigonometric…

Functional Analysis · Mathematics 2021-07-22 Andreas Defant , Mieczysław Mastyło , Antonio Pérez Hernández

In general, standard necessary optimality conditions cannot be formulated in a straightforward manner for semi-smooth shape optimization problems. In this paper, we consider shape optimization problems constrained by variational…

Optimization and Control · Mathematics 2020-12-17 Daniel Luft , Volker H. Schulz , Kathrin Welker

In this work we study constant-coefficient first order systems of partial differential equations and give necessary and sufficient conditions for those systems to have a well posed Cauchy Problem. In many physical applications, due to the…

General Relativity and Quantum Cosmology · Physics 2021-11-17 Fernando Abalos , Oscar Reula

In this paper, we provide conditions under which one can take derivatives of the solution to convex optimization problems with respect to problem data. These conditions are (roughly) that Slater's condition holds, the functions involved are…

Optimization and Control · Mathematics 2019-11-13 Shane Barratt
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