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国外数学名著系列 傅里叶分析及其应用 英文影印版 [（瑞典）弗雷特布拉德 编著] 2011年版
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国外数学名著系列 傅里叶分析及其应用 英文影印版
作者：（瑞典）弗雷特布拉德 编著
出版时间：2011年版
内容简介
A carefully prepared account of thebasic ideas in Fourier analysis and its applications to the studyof partial differential equations. The author succeeds to make hisexposition accessible to readers with a limited background， forexample， those not acquainted with the Lebesgue integral. Readersshould be familiar with calculus， linear algebra， and complexnumbers. At the same time， the author has managed to includediscussions of more advanced topics such as the Gibbs phenomenon，distributions， Sturm-Liouville theory， Cesaro summability andmulti-dimensional Fourier analysis， topics which one usually doesnot find in books at this level. A variety of worked examples andexercises will help the readers to apply their newly acquiredknowledge.
目录
preface 1 introduction 1.1 the classical partial differential equations 1.2 well-posed problems 1.3 the one-dimensional wave equation 1.4 fourier's method 2 preparations 2.1 complex exponentials 2.2 complex-valued functions of a real variable 2.3 cesaro summation of series 2.4 positive summation kernels 2.5 the riemann-lebesgue lemma 2.6 *some simple distributions 2.7 *computing with δ 3 laplace and z transforms 3.1 the laplace transform 3.2 operations 3.3 applications to differential equations 3.4 convolution .3.5 *laplace transforms of distributions 3.6 the z transform 3.7 applications in control theory summary of chapter 3 4 fourier series 4.1 definitions 4.2 dirichlet's and fejer's kernels; uniqueness 4.3 differentiable functions 4.4 pointwise convergence 4.5 formulae for other periods 4.6 some worked examples 4.7 the gibbs phenomenon 4.8 *fourier series for distributions summary of chapter 4 5 l2 theory 5.1 linear spaces over the complex numbers 5.2 orthogonal projections 5.3 some examples 5.4 the fourier system is complete 5.5 legendre polynomials 5.6 other classical orthogonal polynomials summary of chapter 5 6 separation of variables 6.1 the solution of fourier's problem 6.2 variations on fourier's theme 6.3 the dirichlet problem in the unit disk 6.4 sturm-liouville problems 6.5 some singular sturm-liouville problems summary of chapter 6 7 fourier transforms 7.1 introduction 7.2 definition of the fourier transform 7.3 properties 7.4 the inversion theorem. 7.5 the convolution theorem 7.6 plancherel's formula 7.7 application i 7.8 application 2 7.9 application 3: the sampling theorem 7.10 *connection with the laplace transform 7.11 *distributions and fourier transforms summary of chapter 7 8 distributions 8.1 history 8.2 fuzzy points - test functions 8.3 distributions 8.4 properties 8.5 fourier transformation 8.6 convolution 8.7 periodic distributions and fourier series 8.8 fundamental solutions 8.9 back to the starting point summary of chapter 8 9 multi-dimensional fourier analysis 9.1 rearranging series 9.2 double series 9.3 multi-dimensional fourier series 9.4 multi-dimensional fourier transforms appendices a the ubiquitous convolution b the discrete fourier transform c formulae c.1 laplace transforms c.2 z transforms c.3 fourier series c.4 fourier transforms c.5 orthogonal polynomials d answers to selected exercises e literature index
作者：（瑞典）弗雷特布拉德 编著
出版时间：2011年版
内容简介
A carefully prepared account of thebasic ideas in Fourier analysis and its applications to the studyof partial differential equations. The author succeeds to make hisexposition accessible to readers with a limited background， forexample， those not acquainted with the Lebesgue integral. Readersshould be familiar with calculus， linear algebra， and complexnumbers. At the same time， the author has managed to includediscussions of more advanced topics such as the Gibbs phenomenon，distributions， Sturm-Liouville theory， Cesaro summability andmulti-dimensional Fourier analysis， topics which one usually doesnot find in books at this level. A variety of worked examples andexercises will help the readers to apply their newly acquiredknowledge.
目录
preface 1 introduction 1.1 the classical partial differential equations 1.2 well-posed problems 1.3 the one-dimensional wave equation 1.4 fourier's method 2 preparations 2.1 complex exponentials 2.2 complex-valued functions of a real variable 2.3 cesaro summation of series 2.4 positive summation kernels 2.5 the riemann-lebesgue lemma 2.6 *some simple distributions 2.7 *computing with δ 3 laplace and z transforms 3.1 the laplace transform 3.2 operations 3.3 applications to differential equations 3.4 convolution .3.5 *laplace transforms of distributions 3.6 the z transform 3.7 applications in control theory summary of chapter 3 4 fourier series 4.1 definitions 4.2 dirichlet's and fejer's kernels; uniqueness 4.3 differentiable functions 4.4 pointwise convergence 4.5 formulae for other periods 4.6 some worked examples 4.7 the gibbs phenomenon 4.8 *fourier series for distributions summary of chapter 4 5 l2 theory 5.1 linear spaces over the complex numbers 5.2 orthogonal projections 5.3 some examples 5.4 the fourier system is complete 5.5 legendre polynomials 5.6 other classical orthogonal polynomials summary of chapter 5 6 separation of variables 6.1 the solution of fourier's problem 6.2 variations on fourier's theme 6.3 the dirichlet problem in the unit disk 6.4 sturm-liouville problems 6.5 some singular sturm-liouville problems summary of chapter 6 7 fourier transforms 7.1 introduction 7.2 definition of the fourier transform 7.3 properties 7.4 the inversion theorem. 7.5 the convolution theorem 7.6 plancherel's formula 7.7 application i 7.8 application 2 7.9 application 3: the sampling theorem 7.10 *connection with the laplace transform 7.11 *distributions and fourier transforms summary of chapter 7 8 distributions 8.1 history 8.2 fuzzy points - test functions 8.3 distributions 8.4 properties 8.5 fourier transformation 8.6 convolution 8.7 periodic distributions and fourier series 8.8 fundamental solutions 8.9 back to the starting point summary of chapter 8 9 multi-dimensional fourier analysis 9.1 rearranging series 9.2 double series 9.3 multi-dimensional fourier series 9.4 multi-dimensional fourier transforms appendices a the ubiquitous convolution b the discrete fourier transform c formulae c.1 laplace transforms c.2 z transforms c.3 fourier series c.4 fourier transforms c.5 orthogonal polynomials d answers to selected exercises e literature index
