Functional analysis

The basic and historically first class of spaces studied in functional analysis are complete normed vector spaces over the real or complex numbers. Such spaces are called Banach spaces. An important example is a Hilbert space, where the norm arises from an inner product. These spaces are of fundamental importance in many areas, including the mathematical formulation of quantum mechanics, machine learning, partial differential equations, and Fourier analysis. 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 Hilbert spaces can be completely classified: there is a unique Hilbert space up to isomorphism for every cardinality of the orthonormal basis. Finite-dimensional Hilbert spaces are fully understood in linear algebra, and infinite-dimensional separable Hilbert spaces are isomorphic to \ell^{\,2}(\aleph_0)\,. Separability being important for applications, functional analysis of Hilbert spaces consequently mostly deals with this space. One of the open problems in functional analysis is to prove that every bounded linear operator on a Hilbert space has a proper invariant subspace. Many special cases of this invariant subspace problem have already been proven. Banach spaces General Banach spaces are more complicated than Hilbert spaces, and cannot be classified in such a simple manner as those. In particular, many Banach spaces lack a notion analogous to an orthonormal basis. Examples of Banach spaces are L^p-spaces for any real number Given also a measure \mu on set then sometimes also denoted L^p(X,\mu) or has as its vectors equivalence classes [\,f\,] of measurable functions whose absolute value's p-th power has finite integral; that is, functions f for which one has \int_{X}\left|f(x)\right|^p\,d\mu(x) If \mu is the counting measure, then the integral may be replaced by a sum. That is, we require \sum_{x\in X}\left|f(x)\right|^p Then it is not necessary to deal with equivalence classes, and the space is denoted written more simply \ell^p in the case when X is the set of non-negative integers. In Banach spaces, a large part of the study involves the dual space: the space of all continuous linear maps from the space into its underlying field, so-called functionals. A Banach space can be canonically identified with a subspace of its bidual, which is the dual of its dual space. The corresponding map is an isometry but in general not onto. A general Banach space and its bidual need not even be isometrically isomorphic in any way, contrary to the finite-dimensional situation. This is explained in the dual space article. Also, the notion of derivative can be extended to arbitrary functions between Banach spaces. See, for instance, the Fréchet derivative article. ==Linear functional analysis==

==Major and foundational results==

There are four major theorems which are sometimes called the four pillars of functional analysis: • the Hahn–Banach theorem • the open mapping theorem • the closed graph theorem • the uniform boundedness principle, also known as the Banach–Steinhaus theorem. Important results of functional analysis include: Uniform boundedness principle The uniform boundedness principle or Banach–Steinhaus theorem is one of the fundamental results in functional analysis. Together with the Hahn–Banach theorem and the open mapping theorem, it is considered one of the cornerstones of the field. In its basic form, it asserts that for a family of continuous linear operators (and thus bounded operators) whose domain is a Banach space, pointwise boundedness is equivalent to uniform boundedness in operator norm. The theorem was first published in 1927 by Stefan Banach and Hugo Steinhaus but it was also proven independently by Hans Hahn. {{math theorem | name = Theorem (Uniform Boundedness Principle) | math_statement = Let X be a Banach space and Y be a normed vector space. Suppose that F is a collection of continuous linear operators from X to Y. If for all x in X one has \sup\nolimits_{T \in F} \|T(x)\|_Y then \sup\nolimits_{T \in F} \|T\|_{B(X,Y)} }} Spectral theorem There are many theorems known as the spectral theorem, but one in particular has many applications in functional analysis. This is the beginning of the vast research area of functional analysis called operator theory; see also the spectral measure. There is also an analogous spectral theorem for bounded normal operators on Hilbert spaces. The only difference in the conclusion is that now f may be complex-valued. Hahn–Banach theorem The Hahn–Banach theorem is a central tool in functional analysis. It allows the extension of bounded linear functionals defined on a subspace of some vector space to the whole space, and it also shows that there are "enough" continuous linear functionals defined on every normed vector space to make the study of the dual space "interesting". {{math theorem | name = Hahn–Banach theorem: \varphi(x) \leq p(x)\qquad\forall x \in U then there exists a linear extension \psi:V\to\mathbb{R} of \varphi to the whole space V which is dominated by p on V; that is, there exists a linear functional \psi such that \begin{align} \psi(x) &= \varphi(x) &\forall x\in U, \\ \psi(x) &\le p(x) &\forall x\in V. \end{align}}} Open mapping theorem The open mapping theorem, also known as the Banach–Schauder theorem (named after Stefan Banach and Juliusz Schauder), is a fundamental result which states that if a continuous linear operator between Banach spaces is surjective then it is an open map. More precisely, The proof uses the Baire category theorem, and completeness of both X and Y is essential to the theorem. The statement of the theorem is no longer true if either space is just assumed to be a normed space, but is true if X and Y are taken to be Fréchet spaces. Closed graph theorem Other topics ==Foundations of mathematics considerations==

Most spaces considered in functional analysis have infinite dimension. To show the existence of a vector space basis for such spaces may require Zorn's lemma. However, a somewhat different concept, the Schauder basis, is usually more relevant in functional analysis. Many theorems require the Hahn–Banach theorem, usually proved using the axiom of choice, although the strictly weaker Boolean prime ideal theorem suffices. The Baire category theorem, needed to prove many important theorems, also requires a form of axiom of choice. ==Points of view==

Functional analysis includes the following tendencies: • Abstract analysis. An approach to analysis based on topological groups, topological rings, and topological vector spaces. • Geometry of Banach spaces contains many topics. One is combinatorial approach connected with Jean Bourgain; another is a characterization of Banach spaces in which various forms of the law of large numbers hold. • Noncommutative geometry. Developed by Alain Connes, partly building on earlier notions, such as George Mackey's approach to ergodic theory. • Connection with quantum mechanics. Either narrowly defined as in mathematical physics, or broadly interpreted by, for example, Israel Gelfand, to include most types of representation theory. ==See also==