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Generative adversarial networks (GANs) are so complex that the existing learning theories do not provide a satisfactory explanation for why GANs have great success in practice. The same situation also remains largely open for deep neural…

Machine Learning · Computer Science 2022-02-15 Khoat Than , Nghia Vu

The classical Rellich inequalities imply that the $L^2$-norms of the normal and tangential derivatives of a harmonic function are equivalent. In this note, we prove several refined inequalities, which make sense even if the domain is not…

Analysis of PDEs · Mathematics 2022-09-20 Siddhant Agrawal , Thomas Alazard

Randomized smoothing is a widely adopted technique for optimizing nonsmooth objective functions. However, its efficiency analysis typically relies on global Lipschitz continuity, a condition rarely met in practical applications. To address…

Optimization and Control · Mathematics 2025-09-10 Jingfan Xia , Zhenwei Lin , Qi Deng

We study the regularity properties of random wavelet series constructed by multiplying the coefficients of a deterministic wavelet series with unbounded I.I.D. random variables. In particular, we show that, at the opposite to what happens…

Probability · Mathematics 2023-04-04 Céline Esser , Stéphane Jaffard , Béatrice Vedel

Motivated by applications to stochastic programming, we introduce and study the expected-integral functionals, which are mappings given in an integral form depending on two variables, the first a finite dimensional decision vector and the…

Optimization and Control · Mathematics 2021-06-15 Boris S. Mordukhovich , Pedro Pérez-Aros

Given a function on diagonal matrices, there is a unique way to extend this to an invariant (by conjugation) function on symmetric matrices. We show that the extension preserves regularity -- that is, if the original function is k times…

Functional Analysis · Mathematics 2007-05-23 Yury Grabovsky , Omar Hijab , Igor Rivin

We investigate progressions in the set of pairs of integers $\mathbb{Z}^2$ and define a generalisation of the Jacobsthal function. For this function, we conjecture a specific upper bound and prove that this bound would be a sufficient…

Number Theory · Mathematics 2017-06-02 Mario Ziller , John F. Morack

The local Lipschitz constant of a neural network is a useful metric with applications in robustness, generalization, and fairness evaluation. We provide novel analytic results relating the local Lipschitz constant of nonsmooth vector-valued…

Machine Learning · Statistics 2021-01-12 Matt Jordan , Alexandros G. Dimakis

There is a difficulty in finding an estimate of variance of the profile likelihood estimator in the joint model of longitudinal and survival data. We solve the difficulty by introducing the ``statistical generalized derivative''. The…

Statistics Theory · Mathematics 2018-07-23 Yuichi Hirose , Ivy Liu

Via a unified geometric approach, a class of generalized trigonometric functions with two parameters are analytically extended to maximal domains on which they are univalent. Some consequences are deduced concerning radius of convergence…

Complex Variables · Mathematics 2026-05-25 Pisheng Ding

It is shown how different globally coupled map systems can be analyzed under a common framework by focusing on the dynamics of their respective global coupling functions. We investigate how the functional form of the coupling determines the…

Chaotic Dynamics · Physics 2009-11-07 M. G. Cosenza , A. Parravano

We obtain a uniform stability of recovering entire functions of a special form from their zeros. To this form, one can reduce the characteristic determinants of strongly regular differential operators and pencils of the first and the second…

Spectral Theory · Mathematics 2021-10-04 Sergey Buterin

In this paper we prove global bounds on the spatial gradient of viscosity solutions to second order linear and nonlinear parabolic equations in $(0,T) \times \R^N$. Our assumptions include the case that the coefficients be both unbounded…

Analysis of PDEs · Mathematics 2013-01-01 Enrico Priola , Alessio Porretta

In this paper, we study the summability properties of double sequences of real constants which map sequences of random variables to sequences of random variables that are defined on the same probability sample space. We show that a regular…

Probability · Mathematics 2017-08-31 Jinlu Li , Robert Mendris

Motivic and topological zeta functions are singularity invariants, mainly associated to a function $f$ and a top differential form $\omega$ on a smooth variety. When $\omega$ is the standard form $dx_1\wedge \dots \wedge dx_n$ on affine…

Algebraic Geometry · Mathematics 2026-02-16 Lise Fonteyne , Willem Veys

We present an extension of the classical theory of calculus of variations to generalized functions. The framework is the category of generalized smooth functions, which includes Schwartz distributions while sharing many nonlinear properties…

Functional Analysis · Mathematics 2016-08-11 Alexander Lecke , Lorenzo Luperi Baglini , Paolo Giordano

We call the solution of a kind of second order homogeneous partial differential equation as real kernel alpha-harmonic mappings. In this paper, the representation theorem, the Lipschitz continuity, the univalency and the related problems of…

Complex Variables · Mathematics 2024-01-22 Bo-Yong Long , Qi-Han Wang

We prove that some of the basic differential functions appearing in the (unramified) theory of arithmetic differential equations, especially some of the basic differential modular forms in that theory, arise from a "ramified situation".…

Number Theory · Mathematics 2011-04-04 A. Buium , A. Saha

We use the properties of Hermite and Kamp\'e de F\'eriet polynomials to get closed forms for the repeated derivatives of functions whose argument is a quadratic or higher-order polynomial. The results we obtain are extended to product of…

Classical Analysis and ODEs · Mathematics 2014-06-17 D. Babusci , G. Dattoli , K. Górska , K. A. Penson

Two-phase composites with non-overlapping inclusions randomly embedded in matrix are investigated. A straight forward approach is applied to estimate the effective properties of random 2D composites. First, deterministic boundary value…

Mathematical Physics · Physics 2015-01-12 Vladimir Mityushev