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Functional Analysis, Sobolev Spaces and Partial Differential Equations

Haim Brezis
TLDR
In this article, the theory of conjugate convex functions is introduced, and the Hahn-Banach Theorem and the closed graph theorem are discussed, as well as the variations of boundary value problems in one dimension.
Abstract
Preface.- 1. The Hahn-Banach Theorems. Introduction to the Theory of Conjugate Convex Functions.- 2. The Uniform Boundedness Principle and the Closed Graph Theorem. Unbounded Operators. Adjoint. Characterization of Surjective Operators.- 3. Weak Topologies. Reflexive Spaces. Separable Spaces. Uniform Convexity.- 4. L^p Spaces.- 5. Hilbert Spaces.- 6. Compact Operators. Spectral Decomposition of Self-Adjoint Compact Operators.- 7. The Hille-Yosida Theorem.- 8. Sobolev Spaces and the Variational Formulation of Boundary Value Problems in One Dimension.- 9. Sobolev Spaces and the Variational Formulation of Elliptic Boundary Value Problems in N Dimensions.- 10. Evolution Problems: The Heat Equation and the Wave Equation.- 11. Some Complements.- Problems.- Solutions of Some Exercises and Problems.- Bibliography.- Index.

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Citations
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Journal ArticleDOI

Blow-up in finite or infinite time for quasilinear degenerate Keller-Segel systems of parabolic-parabolic type

TL;DR: In this article, the authors gave a blow-up result for the quasilinear degenerate Keller-Segel systems of parabolic-parabolic type with large negative energy.
Journal ArticleDOI

Quantization and clustering with Bregman divergences

TL;DR: A quantization scheme with a class of distortion measures called Bregman divergences is used, and conditions ensuring the existence of an optimal quantizer and an empirically optimal quantizers are provided.
Journal ArticleDOI

Some A priori estimates for the homogeneous Landau equation with soft potentials

TL;DR: In this article, a priori estimates for the homogeneous Landau equation with soft potentials were obtained for the Coulomb case, where the control on time integral of some weighted Fisher information is required.
Journal ArticleDOI

Persistence versus extinction under a climate change in mixed environments

TL;DR: In this article, the authors studied the persistence versus extinction of species in the reaction diffusion equation, where the environment is only assumed to be globally unfavorable with favorable pockets extending to infinity, and the reaction term is time-independent or time-periodic dependent.
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Rectified deep neural networks overcome the curse of dimensionality for nonsmooth value functions in zero-sum games of nonlinear stiff systems

TL;DR: In this article, it was shown that for a wide class of controlled stochastic differential equations (SDEs) with stiff coefficients, the value functions of corresponding zero-sum games can be represented by a deep artificial neural network (DNN), whose complexity grows at most polynomially in both the dimension of the state equation and the reciprocal of the required accuracy.
References
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Book

Linear and Quasilinear Equations of Parabolic Type

TL;DR: In this article, the authors considered a hyperbolic parabolic singular perturbation problem for a quasilinear equation of kirchhoff type and obtained parameter dependent time decay estimates of the difference between the solutions of the solution of a quasi-linear parabolic equation and the corresponding linear parabolic equations.
Book

Non-homogeneous boundary value problems and applications

TL;DR: In this paper, the authors consider the problem of finding solutions to elliptic boundary value problems in Spaces of Analytic Functions and of Class Mk Generalizations in the case of distributions and Ultra-Distributions.
Book

Introduction to Fourier Analysis on Euclidean Spaces.

TL;DR: In this paper, the authors present a unified treatment of basic topics that arise in Fourier analysis, and illustrate the role played by the structure of Euclidean spaces, particularly the action of translations, dilatations, and rotations.
Book

Theory of function spaces

Hans Triebel
TL;DR: In this article, the authors measure smoothness using Atoms and Pointwise Multipliers, Wavelets, Spaces on Lipschitz Domains, Wavelet and Sampling Numbers.