Introduction to Hilbert spaces with applications

定　　价：69 元

丛书名：数学经典教材

• 作者：(美) Lokenath Debnath, Piotr Mikusinski
• 出版时间：2012/1/1
• ISBN：9787510040665
• 出 版 社：世界图书出版公司

• 中图法分类：O177.1 
• 页码：580页
• 开本：23cm

内容简介

　　德布纳斯编著的《希尔伯特空间及其应用导论（第3版）（英文影印版）》是一部学习希尔伯特空间的入门级教程。无论是学生还是科研人员，都将从本书的特别表达中受益。本书在原来版本的基础上做了不少改动，新增加了一部分讲述Sobolev空间，展开讲述了有限维赋范空间，有关小波的一章做了全面更新。并且包括了积分和微分方程、量子力学、最优化、变分和控制问题、逼近理论问题、非线性不稳定性和分岔理论的多种应用。在众多希尔伯特空间的书中，本书在讲述勒贝格积分方面独具特色。学习泛函分析和希尔伯特理论的老师和学生都十分推崇这本书作为教材或者参考书。

目 录

preface to the third edition
preface to the second edition
preface to the first edition
chapter1 nermed vector spaces
　1.1 introduction
　1.2 vector spaces
　1.3 normed spaces
　1.4 knach spaces
　1.s linear mappings
　1.6 contraction mappings and the banach fixed point theorem
　1.7 exercises
chapter2 the lebesgue integral
　2.1 introduction
　2.2 step functions
　2.3 lebesl~e intelfable functions

preface to the third edition
preface to the second edition
preface to the first edition
chapter1 nermed vector spaces
　1.1 introduction
　1.2 vector spaces
　1.3 normed spaces
　1.4 knach spaces
　1.s linear mappings
　1.6 contraction mappings and the banach fixed point theorem
　1.7 exercises
chapter2 the lebesgue integral
　2.1 introduction
　2.2 step functions
　2.3 lebesl~e intelfable functions
　2.4 the absolute value of on intei fable function
　2.5 series of intelqble functions so
　2.6 norm in l1(r)
　2.7 convergence almost everywhere ss
　2.8 fundamentol convergence theorems
　2.9 locally integmble functions
　2.10 the lebesgue integral and the riemann integral
　2.11 lebesgue measure on r
　2.12 complex-valued lebesgue integrable functions
　2.13 the spaces lp(r)
　2.14 lebesgue integrable functions on rn
　2.15 convolution
　2.16 exercises
chapter3 hilbert spaces and orthonormal systems
　3.1 introduction
　3.2 inner product spaces
　3.3 hilbert spaces
　3.4 orthogonal and orthonormal systems
　3.5 trigonometric fourier series
　3.6 orthogonal complements and projections
　3.7 linear functionals and the riesz representation theorem
　3.8 exercises
chapter4 linear operators on hilbert spaces
　4.1 introduction
　4.2 examples of operators
　4.3 bilinear functionals and quadratic forms
　4.4 adjoint and seif-adjoint operators
　4.5 invertible, normal, isometric, and unitary operators
　4.6 positive operators
　4.7 projection operators
　4.8 compact operators
　4.9 eigenvalues and eigenvectors
　4.10 spectral decomposition
　4.11 unbounded operators
　4.12 exercises
chapter5 applications to integral and differential equations
　5.1 introduction
　5.2 basic existence theorems
　5.3 fredholm integral equations
　5.4 method of successive approximations
　5.5 volterra integral equations
　5.6 method of solution for a separable kernel
　5.7 volterra integral equations of the first kind and abel'sintegral equation
　5.8 ordinary differential equations and differentialoperators
　5.9 sturm-liouville systems
　5.10 inverse differential operators and green's functions
　5.11 the fourier transform
　5.12 applications of the fourier transform to ordinarydifferential equations and integral equations
　6.13 exercises
chapter6 generalized functions and partial differentialequations
　6.1 introduction
　6.2 distributions
　6.3* sobolevspaces
　6.4 fundamental solutions and green's functions for partialdifferential equations
　6.5 weak solutions of elliptic boundary value problems
　6.6 examples of applications of the fourier transform to partialdifferential equations
　6.7 exercises
chapter7 mathematical foundations of @uantum mechanics
　7.1 introduction
　7.2 basic concepts and equations of classical mechanics
　poisson's brackets in mechanics
　7.3 basic concepts and postulates of quantum mechanics
　7.4 the heisenberg uncertainty principle
　7.5 the schrodinger equation of motion
　7.6 the schrodinger picture
　7.7 the heisenberg picture and the heisenberg equation ofmotion
　7.8 the interaction picture
　7.9 the linear harmonic oscillator
　7.10 angular momentum operators
　7.11 the dirac relativistic wave equation
　7.12 exercises
chapter8 wavelets and wavelet transforms
　8.1 brief historical remarks
　8.2 continuous wavelet transforms
　8.3 the discrete wavelet transform
　8.4 multirosolution analysis and orthonormal bases ofwavelets
　8.5 examples of orthonormal wavelets
　8.6 exercises
chapter9 optimization problems and other miscellaneousapplications
　9.1 introduction
　9.2 the gateaux and frechet differentials
　9.3 optimization problems and the euler-lagrange equations
　9.4 minimization of quadratic functionals s0s
　9.5 variational inequalities s07
　9.6 optimal control problems for dynamical systems
　9.7 approximation theory
　9.8 the shannon samplingtheorem
　9.9 linear and nonlinear stability
　9.10 bifurcation theory
　9.11 exercises
hints and answers to selected exercises
bibliography
index