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mathematics Mathematics is a field of study that discovers and organizes methods, Mathematical theory, theories and theorems that are developed and Mathematical proof, proved for the needs of empirical sciences and mathematics itself. There are many ar ...
, 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 (for example, Inner product space#Definition, inner product, Norm (mathematics ...
. Together with the
Hahn–Banach theorem In functional analysis, the Hahn–Banach theorem is a central result that allows the extension of bounded linear functionals defined on a vector subspace of some vector space to the whole space. The theorem also shows that there are sufficient ...
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 (, ) 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 vectors and ...
, 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.


Theorem

The first inequality (that is, \sup_ \, T(x)\, < \infty for all x) states that the functionals in F are pointwise bounded while the second states that they are uniformly bounded. The second supremum always equals \sup_ \, T\, _ = \sup_ \, T(x)\, _Y = \sup_ \sup_ \, T(x)\, _Y and if X is not the trivial vector space (or if the supremum is taken over , \infty/math> rather than \infty, \infty/math>) then closed unit ball can be replaced with the unit sphere \sup_ \, T\, _ = \sup_ \, T(x)\, _Y. The completeness of the Banach space X enables the following short proof, using the Baire category theorem. 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 In functional analysis, the Hahn–Banach theorem is a central result that allows the extension of bounded linear functionals defined on a vector subspace of some vector space to the whole space. The theorem also shows that there are sufficient ...
. 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, 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 point (geometry), points in a plane (mathematics), plane that are at a given distance from a given point, the Centre (geometry), centre. The distance between any point of the circle and the centre is cal ...
, 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 an Series expansion, expansion of a periodic function into a sum of trigonometric functions. The Fourier series is an example of a trigonometric series. By expressing a function as a sum of sines and cosines, many problems ...
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).


Generalizations

In a
topological vector space In mathematics, a topological vector space (also called a linear topological space and commonly abbreviated TVS or t.v.s.) is one of the basic structures investigated in functional analysis. A topological vector space is a vector space that is als ...
(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, 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 spaces 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 ) is a Social group, group of people related either by consanguinity (by recognized birth) or Affinity (law), affinity (by marriage or other relationship). It forms the basis for social order. Ideally, families offer predictabili ...
\mathcal of subsets of a
topological vector space In mathematics, a topological vector space (also called a linear topological space and commonly abbreviated TVS or t.v.s.) is one of the basic structures investigated in functional analysis. A topological vector space is a vector space that is als ...
Y is said to be in Y, if there exists some bounded subset 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 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 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 In topology and related areas of mathematics, a subset ''A'' of a topological space ''X'' is said to be dense in ''X'' if every point of ''X'' either belongs to ''A'' or else is arbitrarily "close" to a member of ''A'' — for instance, the ra ...
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 (, ) 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 vectors and ...
and the codomain is a normed space 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

* *


Notes


Citations


Bibliography

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