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140122  eng 
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a 9780387215952

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1 

a Jost, Jürgen

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0 
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a Partial Differential Equations
h Elektronische Ressource
c by Jürgen Jost

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a 1st ed. 2002

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a New York, NY
b Springer New York
c 2002, 2002

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a XI, 325 p
b online resource

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0 

a Introduction: What Are Partial Differential Equations?  The Laplace Equation as the Prototype of an Elliptic Partial Differential Equation of Second Order  The Maximum Principle  Existence Techniques I: Methods Based on the Maximum Principle  Existence Techniques II: Parabolic Methods. The Heat Equation  The Wave Equation and Its Connections with the Laplace and Heat Equations  The Heat Equation, Semigroups, and Brownian Motion  The Dirichlet Principle. Variational Methods for the Solution of PDEs (Existence Techniques III)  Sobolev Spaces and L2 Regularity Theory  Strong Solutions  The Regularity Theory of Schauder and the Continuity Method (Existence Techniques IV)  The Moser Iteration Method and the Regularity Theorem of de Giorgi and Nash

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a Mathematical analysis

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a Numerical and Computational Physics, Simulation

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a Analysis

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a Partial Differential Equations

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a Mathematical physics

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a Physics

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a Analysis (Mathematics)

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a Partial differential equations

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a Theoretical, Mathematical and Computational Physics

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2 

a SpringerLink (Online service)

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0 
7 
a eng
2 ISO 6392

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b SBA
a Springer Book Archives 2004

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a Graduate Texts in Mathematics

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u https://doi.org/10.1007/b97312?nosfx=y
x Verlag
3 Volltext

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a 515

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a This textbook is intended for students who wish to obtain an introduction to the theory of partial di?erential equations (PDEs, for short), in particular, those of elliptic type. Thus, it does not o?er a comprehensive overview of the whole ?eld of PDEs, but tries to lead the reader to the most important methods and central results in the case of elliptic PDEs. The guiding qu tion is how one can ?nd a solution of such a PDE. Such a solution will, of course, depend on given constraints and, in turn, if the constraints are of the appropriate type, be uniquely determined by them. We shall pursue a number of strategies for ?nding a solution of a PDE; they can be informally characterized as follows: (0) Write down an explicit formula for the solution in terms of the given data (constraints). This may seem like the best and most natural approach, but this is possible only in rather particular and special cases. Also, such a formula may be rather complicated, so that it is not very helpful for detecting qualitative properties of a solution. Therefore, mathematical analysis has developed other, more powerful, approaches. (1) Solve a sequence of auxiliary problems that approximate the given one, and show that their solutions converge to a solution of that original pr lem. Di?erential equations are posed in spaces of functions, and those spaces are of in?nite dimension
