A theorem stating that pointwise boundedness implies uniform boundedness
For the definition of uniformly bounded functions, see Uniform boundedness. For the conjectures in number theory and algebraic geometry, see Uniform boundedness conjecture.
Uniform Boundedness Principle — Let be a Banach space and a normed vector space. Suppose that is a collection of continuous linear operators from to If
then
The completeness of enables the following short proof, using the Baire category theorem.
Taking the supremum over in the unit ball of and over it follows that
There are also simple proofs not using the Baire theorem (Sokal 2011).
Corollaries[]
Corollary — If a sequence of bounded operators converges pointwise, that is, the limit of exists for all then these pointwise limits define a bounded linear operator
The above corollary does not claim that converges to in operator norm, that is, uniformly on bounded sets. However, since is bounded in operator norm, and the limit operator is continuous, a standard "" estimate shows that converges to uniformly on compact sets.
Corollary — Any weakly bounded subset in a normed space is bounded.
Indeed, the elements of define a pointwise bounded family of continuous linear forms on the Banach space which is the continuous dual space of
By the uniform boundedness principle, the norms of elements of as functionals on that is, norms in the second dual are bounded.
But for every the norm in the second dual coincides with the norm in by a consequence of the Hahn–Banach theorem.
Let denote the continuous operators from to endowed with the operator norm.
If the collection is unbounded in then the uniform boundedness principle implies:
In fact, is dense in The complement of in is the countable union of closed sets
By the argument used in proving the theorem, each is nowhere dense, i.e. the subset is of first category.
Therefore is the complement of a subset of first category in a Baire space. By definition of a Baire space, such sets (called residual sets) are dense.
Such reasoning leads to the principle of condensation of singularities, which can be formulated as follows:
Theorem — Let be a Banach space, a sequence of normed vector spaces, and an unbounded family in Then the set
of sets of first category. Therefore, its residual set is dense.
Example: pointwise convergence of Fourier series[]
Let be the circle, and let be the Banach space of continuous functions on with the uniform norm. Using the uniform boundedness principle, one can show that there exists an element in for which the Fourier series does not converge pointwise.
where is the -th Dirichlet kernel. Fix and consider the convergence of
The functional defined by
is bounded.
The norm of in the dual of is the norm of the signed measure namely
It can be verified that
So the collection is unbounded in the dual of
Therefore, by the uniform boundedness principle, for any the set of continuous functions whose Fourier series diverges at is dense in
More can be concluded by applying the principle of condensation of singularities.
Let be a dense sequence in
Define 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 is dense in (however, the Fourier series of a continuous function converges to for almost every by Carleson's theorem).
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 (Bourbaki 1987, Theorem III.2.1) harv error: no target: CITEREFBourbaki1987 (help):
Theorem — Given a barrelled space and a locally convex space then any family of pointwise bounded continuous linear mappings from to is equicontinuous (and even uniformly equicontinuous).
Alternatively, the statement also holds whenever is a Baire space and is a locally convex space.[1]
Uniform boundedness in general topological vector spaces[]
A family of subsets of a topological vector space is said to be uniformly bounded in if there exists some bounded subset of such that
which happens if and only if
is a bounded subset of ;
if is a normed space then this happens if and only if there exists some real such that
The below theorem's conclusion that the set is necessarily equal to all to can be deduced, with the help of the first part of the following theorem, from the equicontinuity of and the fact that every single subset of is also a bounded subset.
Theorem[2] — Let be a set of continuous linear operators between two topological vector spaces and and let be any bounded subset of
If is equicontinuous then the family of sets is uniformly bounded in [proof 1] meaning that there exists some bounded subset of such that which happens if and only if is a bounded subset of
Also, if is a convexcompact Hausdorff subspace and if for every the orbit is a bounded subset of then the family is uniformly bounded in (for this conclusion, was not assumed to be equicontinuous).
Generalizations involving nonmeager subsets[]
In the following version of the theorem, the domain is not assumed to be a Baire space.
Theorem[2] — Let be a set of continuous linear operators between two topological vector spaces and (not necessarily Hausdorff or locally convex).
For every denote the orbit of by
and let denote the set of all whose orbit is a bounded subset of
If is of the second category (that is, nonmeager) in then and is equicontinuous.
Let be balanced neighborhoods of the origin in satisfying It must be shown that there exists a neighborhood of the origin in such that for every
Let
which is a closed subset of (because it is an intersection of closed subsets) that for every also satisfies and
(as will be shown, the set is in fact a neighborhood of the origin in because the topological interior of in is non-empty).
If then being bounded in implies that there exists some integer such that so if then
Since was arbitrary,
This proves that
Because is of the second category in the same must be true of at least one of the sets for some
The map defined by is a (surjective) homeomorphism, so the set is necessarily of the second category in
Because is closed and of the second category in its topological interior in is non-empty.
Pick
The map defined by being a homeomorphism implies that
is a neighborhood of in (which implies that the same is true of the superset ).
And so for every
This proves that is equicontinuous.
Proof that :
Because is equicontinuous, if is bounded in then is uniformly bounded in
In particular, for any because is a bounded subset of is a uniformly bounded subset of Thus
So in particular, if is also a normed space and if
then is equicontinuous.
See also[]
Barrelled space – A topological vector space with near minimum requirements for the Banach–Steinhaus theorem to hold.
Ursescu theorem – Theorem that simultaneously generalizes the closed graph, open mapping, and Banach–Steinhaus theorems
Notes[]
^Let be a neighborhood of the origin in Since is equicontinuous, there exists a neighborhood of the origin in such that for every Because is bounded in there exists some real such that if then So for every and every which implies that Thus is bounded in
Dieudonné, Jean (1970), Treatise on analysis, Volume 2, Academic Press.
Husain, Taqdir; Khaleelulla, S. M. (1978). Barrelledness in Topological and Ordered Vector Spaces. Lecture Notes in Mathematics. 692. Berlin, New York, Heidelberg: Springer-Verlag. ISBN978-3-540-09096-0. OCLC4493665.
Khaleelulla, S. M. (1982). Counterexamples in Topological Vector Spaces. Lecture Notes in Mathematics. 936. Berlin, Heidelberg, New York: Springer-Verlag. ISBN978-3-540-11565-6. OCLC8588370.
; (2011). Topological Vector Spaces. Pure and applied mathematics (Second ed.). Boca Raton, FL: CRC Press. ISBN978-1584888666. OCLC144216834.
Rudin, Walter (1966), Real and complex analysis, McGraw-Hill.
Rudin, Walter (1991). Functional Analysis. International Series in Pure and Applied Mathematics. 8 (Second ed.). New York, NY: McGraw-Hill Science/Engineering/Math. ISBN978-0-07-054236-5. OCLC21163277.
Schaefer, Helmut H.; (1999). Topological Vector Spaces. GTM. 8 (Second ed.). New York, NY: Springer New York Imprint Springer. ISBN978-1-4612-7155-0. OCLC840278135.
Schechter, Eric (1996). Handbook of Analysis and Its Foundations. San Diego, CA: Academic Press. ISBN978-0-12-622760-4. OCLC175294365.
Trèves, François (2006) [1967]. Topological Vector Spaces, Distributions and Kernels. Mineola, N.Y.: Dover Publications. ISBN978-0-486-45352-1. OCLC853623322.
Wilansky, Albert (2013). Modern Methods in Topological Vector Spaces. Mineola, New York: Dover Publications, Inc. ISBN978-0-486-49353-4. OCLC849801114.