Uniform Boundedness Theorem
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In
mathematics Mathematics is an area of knowledge that includes the topics of numbers, formulas and related structures, shapes and the spaces in which they are contained, and quantities and their changes. These topics are represented in modern mathematics ...
, the uniform boundedness principle or Banach–Steinhaus theorem is one of the fundamental results in
functional analysis Functional analysis is a branch of mathematical analysis, the core of which is formed by the study of vector spaces endowed with some kind of limit-related structure (e.g. Inner product space#Definition, inner product, Norm (mathematics)#Defini ...
. 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 In mathematics, more specifically in functional analysis, a Banach space (pronounced ) is a complete normed vector space. Thus, a Banach space is a vector space with a metric that allows the computation of vector length and distance between vector ...
, pointwise boundedness is equivalent to uniform boundedness in operator norm. The theorem was first published in 1927 by Stefan Banach and
Hugo Steinhaus Hugo Dyonizy Steinhaus ( ; ; January 14, 1887 – February 25, 1972) was a Polish mathematician and educator. Steinhaus obtained his PhD under David Hilbert at Göttingen University in 1911 and later became a professor at the Jan Kazimierz Unive ...
, but it was also proven independently by Hans Hahn.


Theorem

The completeness of X enables the following short proof, using the
Baire category theorem The Baire category theorem (BCT) is an important result in general topology and functional analysis. The theorem has two forms, each of which gives sufficient conditions for a topological space to be a Baire space (a topological space such that the ...
. There are also simple proofs not using the Baire theorem .


Corollaries

The above corollary does claim that T_n converges to T in operator norm, that is, uniformly on bounded sets. However, since \left\ is bounded in operator norm, and the limit operator T is continuous, a standard "3\varepsilon" estimate shows that T_n converges to T uniformly on sets. Indeed, the elements of S define a pointwise bounded family of continuous linear forms on the Banach space X := Y', which is the continuous dual space of Y. By the uniform boundedness principle, the norms of elements of S, as functionals on X, that is, norms in the second dual Y'', are bounded. But for every s \in S, the norm in the second dual coincides with the norm in Y, by a consequence of the Hahn–Banach theorem. Let L(X, Y) denote the continuous operators from X to Y, endowed with the operator norm. If the collection F is unbounded in L(X, Y), then the uniform boundedness principle implies: R = \left \ \neq \varnothing. In fact, R is dense in X. The complement of R in X is the countable union of closed sets \bigcup X_n. By the argument used in proving the theorem, each X_n is
nowhere dense In mathematics, a subset of a topological space is called nowhere dense or rare if its closure has empty interior. In a very loose sense, it is a set whose elements are not tightly clustered (as defined by the topology on the space) anywhere. ...
, i.e. the subset \bigcup X_n is . Therefore R is the complement of a subset of first category in a Baire space. By definition of a Baire space, such sets (called or ) are dense. Such reasoning leads to the , which can be formulated as follows:


Example: pointwise convergence of Fourier series

Let \mathbb be the
circle A circle is a shape consisting of all points in a plane that are at a given distance from a given point, the centre. Equivalently, it is the curve traced out by a point that moves in a plane so that its distance from a given point is const ...
, and let C(\mathbb) be the Banach space of continuous functions on \mathbb, with the uniform norm. Using the uniform boundedness principle, one can show that there exists an element in C(\mathbb) for which the Fourier series does not converge pointwise. For f \in C(\mathbb), its
Fourier series A Fourier series () is a summation of harmonically related sinusoidal functions, also known as components or harmonics. The result of the summation is a periodic function whose functional form is determined by the choices of cycle length (or ''p ...
is defined by \sum_ \hat(k) e^ = \sum_ \frac \left (\int_0 ^ f(t) e^ dt \right) e^, and the ''N''-th symmetric partial sum is S_N(f)(x) = \sum_^N \hat(k) e^ = \frac \int_0^ f(t) D_N(x - t) \, dt, where D_N is the N-th Dirichlet kernel. Fix x \in \mathbb and consider the convergence of \left\. The functional \varphi_ : C(\mathbb) \to \Complex defined by \varphi_(f) = S_N(f)(x), \qquad f \in C(\mathbb), is bounded. The norm of \varphi_, in the dual of C(\mathbb), is the norm of the signed measure (2(2 \pi)^ D_N(x - t) d t, namely \left\, \varphi_\right\, = \frac \int_0^ \left, D_N(x-t)\ \, dt = \frac \int_0^ \left, D_N(s)\ \, ds = \left\, D_N\right\, _. It can be verified that \frac \int_0 ^ , D_N(t), \, dt \geq \frac\int_0^ \frac \, dt \to \infty. So the collection \left(\varphi_\right) is unbounded in C(\mathbb)^, the dual of C(\mathbb). Therefore, by the uniform boundedness principle, for any x \in \mathbb, the set of continuous functions whose Fourier series diverges at x is dense in C(\mathbb). More can be concluded by applying the principle of condensation of singularities. Let \left(x_m\right) be a dense sequence in \mathbb. Define \varphi_ in the similar way as above. The principle of condensation of singularities then says that the set of continuous functions whose Fourier series diverges at each x_m is dense in C(\mathbb) (however, the Fourier series of a continuous function f converges to f(x) for almost every x \in \mathbb, by
Carleson's theorem Carleson's theorem is a fundamental result in mathematical analysis establishing the pointwise (Lebesgue) almost everywhere convergence of Fourier series of functions, proved by . The name is also often used to refer to the extension of the res ...
).


Generalizations

In a topological vector space (TVS) X, "bounded subset" refers specifically to the notion of a von Neumann bounded subset. If X happens to also be a normed or
seminormed space In mathematics, particularly in functional analysis, a seminorm is a vector space norm that need not be positive definite. Seminorms are intimately connected with convex sets: every seminorm is the Minkowski functional of some absorbing disk and ...
, say with (semi)norm \, \cdot\, , then a subset B is (von Neumann) bounded if and only if it is , which by definition means \sup_ \, b\, < \infty.


Barrelled spaces

Attempts to find classes of
locally convex topological vector space In functional analysis and related areas of mathematics, locally convex topological vector spaces (LCTVS) or locally convex spaces are examples of topological vector spaces (TVS) that generalize normed spaces. They can be defined as topological vec ...
s on which the uniform boundedness principle holds eventually led to barrelled spaces. That is, the least restrictive setting for the uniform boundedness principle is a barrelled space, where the following generalized version of the theorem holds :


Uniform boundedness in topological vector spaces

A
family Family (from la, familia) is a Social group, group of people related either by consanguinity (by recognized birth) or Affinity (law), affinity (by marriage or other relationship). The purpose of the family is to maintain the well-being of its ...
\mathcal of subsets of a topological vector space Y is said to be in Y, if there exists some
bounded subset :''"Bounded" and "boundary" are distinct concepts; for the latter see boundary (topology). A circle in isolation is a boundaryless bounded set, while the half plane is unbounded yet has a boundary. In mathematical analysis and related areas of mat ...
D of Y such that B \subseteq D \quad \text B \in \mathcal, which happens if and only if \bigcup_ B is a bounded subset of Y; if Y is a
normed space In mathematics, a normed vector space or normed space is a vector space over the real or complex numbers, on which a norm is defined. A norm is the formalization and the generalization to real vector spaces of the intuitive notion of "length" i ...
then this happens if and only if there exists some real M \geq 0 such that \sup_ \, b\, \leq M. In particular, if H is a family of maps from X to Y and if C \subseteq X then the family \ is uniformly bounded in Y if and only if there exists some bounded subset D of Y such that h(C) \subseteq D \text h \in H, which happens if and only if H(C) := \bigcup_ h(C) is a bounded subset of Y.


Generalizations involving nonmeager subsets

Although the notion of a
nonmeager set In the mathematical field of general topology, a meagre set (also called a meager set or a set of first category) is a subset of a topological space that is small or negligible in a precise sense detailed below. A set that is not meagre is calle ...
is used in the following version of the uniform bounded principle, the domain X is assumed to be a Baire space. Every proper vector subspace of a TVS X has an empty interior in X. So in particular, every proper vector subspace that is closed is nowhere dense in X and thus of the first category (meager) in X (and the same is thus also true of all its subsets). Consequently, any vector subspace of a TVS X that is of the second category (nonmeager) in X must be a dense subset of X (since otherwise its closure in X would a closed proper vector subspace of X and thus of the first category).


Sequences of continuous linear maps

The following theorem establishes conditions for the pointwise limit of a sequence of continuous linear maps to be itself continuous. If in addition the domain is a
Banach space In mathematics, more specifically in functional analysis, a Banach space (pronounced ) is a complete normed vector space. Thus, a Banach space is a vector space with a metric that allows the computation of vector length and distance between vector ...
and the codomain is a
normed space In mathematics, a normed vector space or normed space is a vector space over the real or complex numbers, on which a norm is defined. A norm is the formalization and the generalization to real vector spaces of the intuitive notion of "length" i ...
then \, h\, \leq \liminf_ \left\, h_n\right\, < \infty.


Complete metrizable domain

proves a weaker form of this theorem with Fréchet spaces rather than the usual Banach spaces.


See also

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Notes


Citations


Bibliography

* . * * * . * * * * . * * * * . * . * * {{Boundedness and bornology Articles containing proofs Functional analysis Mathematical principles Theorems in functional analysis