Information & explanations, latest texts & monographs on
Functional_analysis (including recent related patents.)
Functional analysisFunctional analysis is that branch of mathematics and specifically of analysis which is concerned with the study of spaces of functions. It has its historical roots in the study of transformations such as the Fourier transform and in the study of differential and integral equations. The word 'functional' goes back to the calculus of variations, implying a function whose argument is a function. Its use in general has been attributed to Volterra. In the modern view, functional analysis is seen as the study of complete normed vector spaces over the real or complex numbers. Such spaces are called Banach spaces. An important example is Hilbert space, where the norm arises from an inner product. These spaces are of fundamental importance in the mathematical formulation of quantum mechanics. More generally, functional analysis includes the study of Fréchet spaces and other topological vector spaces not endowed with a norm. An important object of study in functional analysis are the continuous linear operators defined on Banach and Hilbert spaces. These lead naturally to the definition of C* algebras and other operator algebras. Hilbert spaces can be completely classified: there is a unique Hilbert space up to isomorphism for every cardinality of the base. Since finite-dimensional Hilbert spaces are fully understood in linear algebra, and since morphisms of Hilbert spaces can always be divided into morphisms of spaces with Aleph-null (ℵ0) dimensionality, functional analysis of Hilbert spaces mostly deals with the unique Hilbert space of dimensionality Aleph-null, and its morphisms. One of the open problems in functional analysis is to prove that every operator on a Hilbert space has a proper subspace which is invariant. Many special cases have already been proven. Banach spaces are much more complicated than Hilbert spaces. There is no clear definition of what would constitute a base, for example. For any real number p ≥ 1, an example of a Banach space is given by "all Lebesgue-measurable functions whose absolute value's p-th power has finite integral" (see Lp spaces). In Banach spaces, a large part of the study involves the dual space: the space of all continuous linear functionals. As in linear algebra, the dual of the dual is not always isomorphic to the original space, but there is always a natural monomorphism from a space into its dual's dual. This is explained in the dual space article. The notion of derivative is extended to arbitrary functions between Banach spaces; it turns out that the derivative of a function at a certain point is really a continuous linear map. Here we list some important results of functional analysis:
This article is adapted from from Wikipedia All Wikipedia article text is available under the terms of the GNU Free Documentation License Elementary Differential Equations and Boundary Value Problems by William E. Boyce Div, Grad, Curl, and All That: An Informal Text on Vector Calculus by Harry M. Schey Riemann's Zeta Function by Harold M. Edwards Introductory Real Analysis by A. N. Kolmogorov Functional Analysis by Walter Rudin Complex Variables and Applications by James Ward Brown Elements of the Theory of Functions and Functional Analysis by A. N. Kolmogorov Fourier Series and Boundary Value Problems by James Ward Brown Elementary Differential Equations by William E. Boyce Level Set Methods and Dynamic Implicit Surfaces by Stanley J. Osher Functions Modeling Change : A Preparation for Calculus by Eric Connally Problems and Solutions for Complex Analysis by Rami Shakarchi Functional Analysis by Frigyes Riesz Elementary Functional Analysis by Georgi E. Shilov An Introduction to Wavelet Analysis by David F. Walnut Recent Functional_analysis related patents From USPTO: |