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We present in this paper a new way to define weighted Sobolev spaces when the weight functions are arbitrary small. This new approach can replace the old one consisting in modifying the domain by removing the set of points where at least one of the weight functions is very small. The basic idea is to replace the distributional derivative with a new notion of weak derivative. In this way, non-locally integrable functions can be considered in these spaces. Indeed, assumptions under which a degenerate elliptic partial differential equation has a unique non-locally integrable solution are given. Tools like a Poincaré inequality and a trace operator are developed, and density results of smooth functions are established.
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http://dx.doi.org/10.1007/s00605-024-02044-z | DOI Listing |
Contemp Clin Trials
September 2025
Cedars-Sinai Medical Center, Los Angeles, CA, United States of America. Electronic address:
Background: Randomized controlled trial participants are expected to embrace assignment to any of the study arms, yet individuals' relative preference for the study arms invariably affects who participates in trials and for how long.
Methods: Our ongoing Avoid/Resist trial (1R01DK130851) tests two strategies to bridge the intention-behavior gap in a weight management intervention. Avoid combines pantry makeover and online grocery shopping.
Anal Math Phys
April 2025
Dipartimento di Architettura, Università degli Studi di Napoli "Federico II", Via Monteoliveto, 80134 Napoli, Italy.
This paper builds upon the Caffarelli-Kohn-Nirenberg (CKN) weighted interpolation inequalities, which are fundamental tools in partial differential equations and geometric analysis for establishing relationships between functions and their gradients when power weights are involved. Our work broadens the scope of these inequalities by generalizing them to encompass a broader class of radial weights and exponents. Additionally, we extend the application of these inequalities to the class of smooth functions defined on bounded domains with Lipschitz boundaries.
View Article and Find Full Text PDFMon Hefte Math
January 2025
Faculty of Mathematics, University of Vienna, Oskar-Morgenstern-Platz 1, 1090 Wien, Austria.
We present in this paper a new way to define weighted Sobolev spaces when the weight functions are arbitrary small. This new approach can replace the old one consisting in modifying the domain by removing the set of points where at least one of the weight functions is very small. The basic idea is to replace the distributional derivative with a new notion of weak derivative.
View Article and Find Full Text PDFNeural Comput
March 2025
Department of Statistics, University of California, Riverside, Riverside 92521, CA, U.S.A.
We propose a sparse deep ReLU network (SDRN) estimator of the regression function obtained from regularized empirical risk minimization with a Lipschitz loss function. Our framework can be applied to a variety of regression and classification problems. We establish novel nonasymptotic excess risk bounds for our SDRN estimator when the regression function belongs to a Sobolev space with mixed derivatives.
View Article and Find Full Text PDFNeural Netw
April 2025
Wuhan University, National Center for Applied Mathematics in Hubei, Wuhan, 430072, Asia, China; Wuhan University, Wuhan Institute for Math & AI, Wuhan, 430072, Asia, China; Wuhan University, School of Mathematics and Statistics, Wuhan, 430072, Asia, China; Wuhan University, Hubei Key Laboratory of C
The deep Ritz method (DRM) has recently been shown to be a simple and effective method for solving PDEs. However, the numerical analysis of DRM is still incomplete, especially why over-parameterized DRM works remains unknown. This paper presents the first convergence analysis of the over-parameterized DRM for second-order elliptic equations with Robin boundary conditions.
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