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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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The Atiyah-Singer index theorem

Nigel Higson, +1 more
TL;DR: The Atiyah-Singer Index Theorem as mentioned in this paper provides a topological formula, in terms of characteristic classes, of the Fredholm index of certain elliptic operators, and had influenced, since its discovery in the 1960s, many areas of mathematics.
Journal ArticleDOI

Incompressible immiscible multiphase flows in porous media: a variational approach

TL;DR: In this paper, the competitive motion of (N + 1) incompressible immiscible phases within a porous medium is described as the gradient flow of a singular energy in the space of non-negative measures with prescribed mass endowed with some tensorial Wasserstein distance.
Journal ArticleDOI

Solving and learning nonlinear PDEs with Gaussian processes

TL;DR: In this article, a generalization of collocation kernel methods to nonlinear partial differential equations (PDEs) and for solving inverse problems (IPs) involving the identification of parameters in PDEs, using the framework of Gaussian processes is proposed.
Journal ArticleDOI

Output feedback stabilization of the Korteweg–de Vries equation

TL;DR: The local exponential stability of the closed-loop system is proven and the output feedback control law for the Korteweg-de Vries equation is presented, based on the backstepping method and the introduction of an appropriate observer.
Journal ArticleDOI

Sliding mode control of Schrödinger equation-ODE in the presence of unmatched disturbances

TL;DR: The backstepping method is first applied to transform the system into an equivalent target system where the target system is input-to-state stable, and the sliding mode control (SMC) law is designed for thetarget system to reject the matched disturbance.
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.