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 is complete in the sense that a Cauchy sequence of vectors always converges to a well-defined limit that is within the space.
Banach spaces are named after the Polish mathematician Stefan Banach, who introduced this concept and studied it systematically in 1920–1922 along with Hans Hahn and Eduard Helly.
Maurice René Fréchet was the first to use the term "Banach space" and Banach in turn then coined the term "Fréchet space".
Banach spaces originally grew out of the study of by David Hilbert, Fréchet, and Frigyes Riesz earlier in the century. Banach spaces play a central role in functional analysis. In other areas of analysis, the spaces under study are often Banach spaces.
Definition
A
Banach space is a complete
normed space
A normed space is a pair
[It is common to read instead of the more technically correct but (usually) pedantic especially if the norm is well known (for example, such as with Lp space) or when there is no particular need to choose any one (equivalent) norm over any other (especially in the more abstract theory of topological vector spaces), in which case this norm (if needed) is often automatically assumed to be denoted by However, in situations where emphasis is placed on the norm, it is common to see written instead of The technically correct definition of normed spaces as pairs may also become important in the context of category theory where the distinction between the categories of normed spaces, , , TVSs, topological spaces, etc. is usually important.]
consisting of a
vector space over a scalar field
(where
is commonly
or
) together with a distinguished
[This means that if the norm is replaced with a different norm on then is the same normed space as not even if the norms are equivalent. However, equivalence of norms on a given vector space does form an equivalence relation.]
norm
Like all norms, this norm induces a translation invariant
[A metric on a vector space is said to be translation invariant if for all vectors This happens if and only if for all vectors A metric that is induced by a norm is always translation invariant.]
distance function, called the
canonical or
(norm) induced metric, defined for all vectors
by
[Because for all it is always true that for all So the order of and in this definition does not matter.]
This makes
into a
metric space
A sequence
is called or or if for every real
there exists some index
such that
whenever
and
are greater than
The normed space
is called a
Banach space and the canonical metric
is called a
complete metric if
is a complete metric space, which by definition means for every
Cauchy sequence in
there exists some
such that
where because
this sequence's convergence to
can equivalently be expressed as
The norm of a normed space is called a if is a Banach space.
L-semi-inner product
For any normed space
there exists an L-semi-inner product
on
such that
for all
In general, there may be infinitely many L-semi-inner products that satisfy this condition and the proof of the existence of L-semi-inner products relies on the non-constructive Hahn–Banach theorem
. L-semi-inner products are a generalization of
, which are what fundamentally distinguish
from all other Banach spaces. This shows that all normed spaces (and hence all Banach spaces) can be considered as being generalizations of (pre-)Hilbert spaces.
Characterization in terms of series
The vector space structure allows one to relate the behavior of Cauchy sequences to that of converging series of vectors.
A normed space
is a Banach space if and only if each absolutely convergent series in
converges to a value that lies within
[see Theorem 1.3.9, p. 20 in .] symbolically
Topology
The canonical metric
of a normed space
induces the usual
metric topology on
which is referred to as the
canonical or
norm induced topology.
Every normed space is automatically assumed to carry this
Hausdorff space topology, unless indicated otherwise.
With this topology, every Banach space is a
Baire space, although there exist normed spaces that are Baire but not Banach. The norm
is always a continuous function with respect to the topology that it induces.
The open and closed balls of radius centered at a point are, respectively, the sets
Any such ball is a Convex set and bounded subset of but a Compact space ball/neighborhood exists if and only if is finite-dimensional.
In particular, no infinite–dimensional normed space can be locally compact or have the Montel space.
If is a vector and is a scalar, then
Using shows that the norm-induced topology is translation invariant, which means that for any and the subset is Open set (respectively, Closed set) in if and only if its translation is open (respectively, closed).
Consequently, the norm induced topology is completely determined by any neighbourhood basis at the origin. Some common neighborhood bases at the origin include
where can be any sequence of positive real numbers that converges to in (common choices are or ).
So, for example, any open subset of can be written as a union
indexed by some subset where each may be chosen from the aforementioned sequence (The open balls can also be replaced with closed balls, although the indexing set and radii may then also need to be replaced).
Additionally, can always be chosen to be Countable set if is a , which by definition means that contains some countable Dense set.
Homeomorphism classes of separable Banach spaces
All finite–dimensional normed spaces are separable Banach spaces and any two Banach spaces of the same finite dimension are linearly homeomorphic.
Every separable infinite–dimensional
Hilbert space is linearly isometrically isomorphic to the separable Hilbert sequence space
with its usual norm
The Anderson–Kadec theorem states that every infinite–dimensional separable Fréchet space is Homeomorphism to the product space of countably many copies of (this homeomorphism need not be a linear map).
Thus all infinite–dimensional separable Fréchet spaces are homeomorphic to each other (or said differently, their topology is unique up to a homeomorphism).
Since every Banach space is a Fréchet space, this is also true of all infinite–dimensional separable Banach spaces, including
In fact, is even Homeomorphism to its own Unit sphere which stands in sharp contrast to finite–dimensional spaces (the Euclidean plane is not homeomorphic to the unit circle, for instance).
This pattern in homeomorphism classes extends to generalizations of metrizable (locally Euclidean) topological manifolds known as , which are that are around every point, locally homeomorphic to some open subset of a given Banach space (metric and metric Fréchet manifolds are defined similarly).
For example, every open subset of a Banach space is canonically a metric Banach manifold modeled on since the inclusion map is an Open map local homeomorphism.
Using Hilbert space , David Henderson showed in 1969 that every metric manifold modeled on a separable infinite–dimensional Banach (or Fréchet) space can be topologically embedded as an Open set of and, consequently, also admits a unique smooth structure making it into a Hilbert manifold.
Compact and convex subsets
There is a compact subset
of
whose
convex hull is closed and thus also compact.
[Let be the separable Hilbert space of square-summable sequences with the usual norm and let be the standard orthonormal basis (that is, each has zeros in every position except for a in the th-position). The closed set is compact (because it is sequentially compact) but its convex hull is a closed set because the point belongs to the closure of in but (since every point is a finite convex combination of elements of and so for all but finitely many coordinates, which is not true of ). However, like in all complete Hausdorff locally convex spaces, the convex hull of this compact subset is compact. The vector subspace is a pre-Hilbert space when endowed with the substructure that the Hilbert space induces on it, but is not complete and (since ). The closed convex hull of in (here, "closed" means with respect to and not to as before) is equal to which is not compact (because it is not a complete subset). This shows that in a Hausdorff locally convex space that is not complete, the closed convex hull of a compact subset might to be compact (although it will be precompact/totally bounded).]
However, like in all Banach spaces, the convex hull
of this (and every other) compact subset will be compact. In a normed space that is not complete then it is in general guaranteed that
will be compact whenever
is; an example
can even be found in a (non-complete) pre-Hilbert vector subspace of
As a topological vector space
This norm-induced topology also makes
into what is known as a topological vector space (TVS), which by definition is a vector space endowed with a topology making the operations of addition and scalar multiplication continuous. It is emphasized that the TVS
is a vector space together with a certain type of topology; that is to say, when considered as a TVS, it is associated with particular norm or metric (both of which are "forgotten"). This Hausdorff TVS
is even locally convex because the set of all open balls centered at the origin forms a neighbourhood basis at the origin consisting of convex
Balanced set open sets. This TVS is also , which by definition refers to any TVS whose topology is induced by some (possibly unknown) norm. Normable TVSs are characterized by being Hausdorff and having a bounded
Convex set neighborhood of the origin.
All Banach spaces are
, which means that every
Barrelled set is neighborhood of the origin (all closed balls centered at the origin are barrels, for example) and guarantees that the Banach–Steinhaus theorem holds.
Comparison of complete metrizable vector topologies
The open mapping theorem implies that when
and
are topologies on
that make both
and
into
F-space (for example, Banach or Fréchet spaces), if one topology is finer or coarser than the other, then they must be equal (that is, if
or
then
).
So, for example, if
and
are Banach spaces with topologies
and
and if one of these spaces has some open ball that is also an open subset of the other space (or, equivalently, if one of
or
is continuous), then their topologies are identical and the norms
and
are
Equivalent norm.
Completeness
Complete norms and equivalent norms
Two norms,
and
on a vector space
are said to be
Equivalent norms if they induce the same topology;
this happens if and only if there exist real numbers
such that
for all
If
and
are two equivalent norms on a vector space
then
is a Banach space if and only if
is a Banach space.
See this footnote for an example of a continuous norm on a Banach space that is equivalent to that Banach space's given norm.
[Let denote the Banach space of continuous functions with the supremum norm and let denote the topology on induced by The vector space can be identified (via the inclusion map) as a proper Dense set vector subspace of the Lp-space which satisfies for all Let denote the restriction of to which makes this map a norm on (in general, the restriction of any norm to any vector subspace will necessarily again be a norm). The normed space is a Banach space since its completion is the proper superset Because holds on the map is continuous. Despite this, the norm is equivalent to the norm (because is complete but is not).]
All norms on a finite-dimensional vector space are equivalent and every finite-dimensional normed space is a Banach space.
[see Corollary 1.4.18, p. 32 in .]
Complete norms vs complete metrics
A metric
on a vector space
is induced by a norm on
if and only if
is translation invariant
and
absolutely homogeneous, which means that
for all scalars
and all
in which case the function
defines a norm on
and the canonical metric induced by
is equal to
Suppose that is a normed space and that is the norm topology induced on Suppose that is metric on such that the topology that induces on is equal to If is translation invariant then is a Banach space if and only if is a complete metric space.
If is translation invariant, then it may be possible for to be a Banach space but for to be a complete metric space (see this footnote[The normed space is a Banach space where the absolute value is a norm on the real line that induces the usual Euclidean topology on Define a metric on by for all Just like induced metric, the metric also induces the usual Euclidean topology on However, is not a complete metric because the sequence defined by is a Cauchy sequence but it does not converge to any point of As a consequence of not converging, this sequence cannot be a Cauchy sequence in (that is, it is not a Cauchy sequence with respect to the norm ) because if it was then the fact that is a Banach space would imply that it converges (a contradiction).] for an example). In contrast, a theorem of Klee,[The statement of the theorem is: Let be metric on a vector space such that the topology induced by on makes into a topological vector space. If is a complete metric space then is a complete topological vector space.] which also applies to all metrizable topological vector spaces, implies that if there exists [This metric is assumed to be translation-invariant. So in particular, this metric does even have to be induced by a norm.] complete metric on that induces the norm topology on then is a Banach space.
A Fréchet space is a locally convex topological vector space whose topology is induced by some translation-invariant complete metric.
Every Banach space is a Fréchet space but not conversely; indeed, there even exist Fréchet spaces on which no norm is a continuous function (such as the space of real sequences with the product topology).
However, the topology of every Fréchet space is induced by some Countable set family of real-valued (necessarily continuous) maps called , which are generalizations of norms.
It is even possible for a Fréchet space to have a topology that is induced by a countable family of (such norms would necessarily be continuous)[A norm (or seminorm) on a topological vector space is continuous if and only if the topology that induces on is coarser than (meaning, ), which happens if and only if there exists some open ball in (such as maybe for example) that is open in ]
but to not be a Banach/normable space because its topology can not be defined by any norm.
An example of such a space is the Fréchet space whose definition can be found in the article on spaces of test functions and distributions.
Complete norms vs complete topological vector spaces
There is another notion of completeness besides metric completeness and that is the notion of a complete topological vector space (TVS) or TVS-completeness, which uses the theory of
.
Specifically, the notion of TVS-completeness uses a unique translation-invariant uniformity, called the canonical uniformity, that depends on vector subtraction and the topology
that the vector space is endowed with, and so in particular, this notion of TVS completeness is independent of whatever norm induced the topology
(and even applies to TVSs that are even metrizable).
Every Banach space is a complete TVS. Moreover, a normed space is a Banach space (that is, its norm-induced metric is complete) if and only if it is complete as a topological vector space.
If
is a metrizable topological vector space (such as any norm induced topology, for example), then
is a complete TVS if and only if it is a complete TVS, meaning that it is enough to check that every Cauchy in
converges in
to some point of
(that is, there is no need to consider the more general notion of arbitrary Cauchy nets).
If is a topological vector space whose topology is induced by (possibly unknown) norm (such spaces are called ), then is a complete topological vector space if and only if may be assigned a norm that induces on the topology and also makes into a Banach space.
A Hausdorff space locally convex topological vector space is Normable space if and only if its strong dual space is normable, in which case is a Banach space ( denotes the strong dual space of whose topology is a generalization of the dual norm-induced topology on the continuous dual space ; see this footnote[ denotes the continuous dual space of When is endowed with the strong dual space topology, also called the topology of uniform convergence on bounded subsets of then this is indicated by writing (sometimes, the subscript is used instead of ). When is a normed space with norm then this topology is equal to the topology on induced by the dual norm. In this way, the strong topology is a generalization of the usual dual norm-induced topology on ] for more details).
If is a metrizable locally convex TVS, then is normable if and only if is a Fréchet–Urysohn space.[Gabriyelyan, S.S. "On topological spaces and topological groups with certain local countable networks (2014)]
This shows that in the category of locally convex TVSs, Banach spaces are exactly those complete spaces that are both metrizable and have metrizable strong dual spaces.
Completions
Every normed space can be
isometry embedded onto a dense vector subspace of a Banach space, where this Banach space is called a
completion of the normed space. This Hausdorff completion is unique up to
Isometry isomorphism.
More precisely, for every normed space there exists a Banach space and a mapping such that is an Isometry and is dense in If is another Banach space such that there is an isometric isomorphism from onto a dense subset of then is isometrically isomorphic to
The Banach space is the Hausdorff completion of the normed space The underlying metric space for is the same as the metric completion of with the vector space operations extended from to The completion of is sometimes denoted by
General theory
Linear operators, isomorphisms
If
and
are normed spaces over the same
ground field the set of all continuous
-linear maps
is denoted by
In infinite-dimensional spaces, not all linear maps are continuous. A linear mapping from a normed space
to another normed space is continuous if and only if it is
bounded operator on the closed
Unit sphere of
Thus, the vector space
can be given the
operator norm
For a Banach space, the space is a Banach space with respect to this norm. In categorical contexts, it is sometimes convenient to restrict the Hom space between two Banach spaces to only the ; in that case the space reappears as a natural bifunctor.
If is a Banach space, the space forms a unital Banach algebra; the multiplication operation is given by the composition of linear maps.
If and are normed spaces, they are isomorphic normed spaces if there exists a linear bijection such that and its inverse are continuous. If one of the two spaces or is complete (or Reflexive space, Separable space, etc.) then so is the other space. Two normed spaces and are isometrically isomorphic if in addition, is an isometry, that is, for every in The Banach–Mazur distance between two isomorphic but not isometric spaces and gives a measure of how much the two spaces and differ.
Continuous and bounded linear functions and seminorms
Every continuous linear operator is a bounded linear operator and if dealing only with normed spaces then the converse is also true. That is, a
linear operator between two normed spaces is bounded if and only if it is a continuous function. So in particular, because the scalar field (which is
or
) is a normed space, a linear functional on a normed space is a bounded linear functional if and only if it is a continuous linear functional. This allows for continuity-related results (like those below) to be applied to Banach spaces. Although boundedness is the same as continuity for linear maps between normed spaces, the term "bounded" is more commonly used when dealing primarily with Banach spaces.
If is a subadditive function (such as a norm, a sublinear function, or real linear functional), then is continuous at the origin if and only if is uniformly continuous on all of ; and if in addition then is continuous if and only if its absolute value is continuous, which happens if and only if is an open subset of [The fact that being open implies that is continuous simplifies proving continuity because this means that it suffices to show that is open for and at (where ) rather than showing this for real and ]
And very importantly for applying the Hahn–Banach theorem, a linear functional is continuous if and only if this is true of its real part and moreover, and the real part completely determines which is why the Hahn–Banach theorem is often stated only for real linear functionals.
Also, a linear functional on is continuous if and only if the seminorm is continuous, which happens if and only if there exists a continuous seminorm such that ; this last statement involving the linear functional and seminorm is encountered in many versions of the Hahn–Banach theorem.
Basic notions
The Cartesian product
of two normed spaces is not canonically equipped with a norm. However, several equivalent norms are commonly used,
such as
which correspond (respectively) to the
coproduct and product in the category of Banach spaces and short maps (discussed above).
For finite (co)products, these norms give rise to isomorphic normed spaces, and the product
(or the direct sum
) is complete if and only if the two factors are complete.
If is a Closed set linear subspace of a normed space there is a natural norm on the quotient space
The quotient is a Banach space when is complete.[see pp. 17–19 in .] The quotient map from onto sending to its class is linear, onto, and of norm except when in which case the quotient is the null space.
The closed linear subspace of is said to be a complemented subspace of if is the range of a Surjection bounded linear projection In this case, the space is isomorphic to the direct sum of and the kernel of the projection
Suppose that and are Banach spaces and that There exists a canonical factorization of as
where the first map is the quotient map, and the second map sends every class in the quotient to the image in This is well defined because all elements in the same class have the same image. The mapping is a linear bijection from onto the range whose inverse need not be bounded.
Classical spaces
Basic examples
[see , pp. 11-12.] of Banach spaces include: the
and their special cases, the sequence spaces
that consist of scalar sequences indexed by
; among them, the space
of absolutely summable sequences and the space
of square summable sequences; the space
of sequences tending to zero and the space
of bounded sequences; the space
of continuous scalar functions on a compact Hausdorff space
equipped with the max norm,
According to the Banach–Mazur theorem, every Banach space is isometrically isomorphic to a subspace of some [see , Th. 9 p. 185.] For every separable Banach space there is a closed subspace of such that [see Theorem 6.1, p. 55 in ]
Any Hilbert space serves as an example of a Banach space. A Hilbert space on is complete for a norm of the form
where
is the inner product, linear in its first argument that satisfies the following:
For example, the space is a Hilbert space.
The , the are examples of Banach spaces that are related to spaces and have additional structure. They are important in different branches of analysis, Harmonic analysis and Partial differential equations among others.
Banach algebras
A
Banach algebra is a Banach space
over
or
together with a structure of algebra over
, such that the product map
is continuous. An equivalent norm on
can be found so that
for all
Examples
-
The Banach space with the pointwise product, is a Banach algebra.
-
The disk algebra consists of functions holomorphic in the open unit disk and continuous on its closure: Equipped with the max norm on the disk algebra is a closed subalgebra of
-
The Wiener algebra is the algebra of functions on the unit circle with absolutely convergent Fourier series. Via the map associating a function on to the sequence of its Fourier coefficients, this algebra is isomorphic to the Banach algebra where the product is the convolution of sequences.
-
For every Banach space the space of bounded linear operators on with the composition of maps as product, is a Banach algebra.
-
A C*-algebra is a complex Banach algebra with an Antilinear map involution such that The space of bounded linear operators on a Hilbert space is a fundamental example of C*-algebra. The Gelfand–Naimark theorem states that every C*-algebra is isometrically isomorphic to a C*-subalgebra of some The space of complex continuous functions on a compact Hausdorff space is an example of commutative C*-algebra, where the involution associates to every function its complex conjugate
Dual space
If
is a normed space and
the underlying field (either the
Real number or the
), the
continuous dual space is the space of continuous linear maps from
into
or
continuous linear functionals.
The notation for the continuous dual is
in this article.
[Several books about functional analysis use the notation for the continuous dual, for example , , , , .]
Since
is a Banach space (using the
absolute value as norm), the dual
is a Banach space, for every normed space
The Dixmier–Ng theorem characterizes the dual spaces of Banach spaces.
The main tool for proving the existence of continuous linear functionals is the Hahn–Banach theorem.
In particular, every continuous linear functional on a subspace of a normed space can be continuously extended to the whole space, without increasing the norm of the functional.[Theorem 1.9.6, p. 75 in ]
An important special case is the following: for every vector in a normed space there exists a continuous linear functional on such that
When is not equal to the vector, the functional must have norm one, and is called a norming functional for
The Hahn–Banach separation theorem states that two disjoint non-empty in a real Banach space, one of them open, can be separated by a closed Affine space hyperplane.
The open convex set lies strictly on one side of the hyperplane, the second convex set lies on the other side but may touch the hyperplane.[see also Theorem 2.2.26, p. 179 in ]
A subset in a Banach space is total if the linear span of is Dense set in The subset is total in if and only if the only continuous linear functional that vanishes on is the functional: this equivalence follows from the Hahn–Banach theorem.
If is the direct sum of two closed linear subspaces and then the dual of is isomorphic to the direct sum of the duals of and [see p. 19 in .]
If is a closed linear subspace in one can associate the in the dual,
The orthogonal is a closed linear subspace of the dual. The dual of is isometrically isomorphic to
The dual of is isometrically isomorphic to [Theorems 1.10.16, 1.10.17 pp.94–95 in ]
The dual of a separable Banach space need not be separable, but:
When is separable, the above criterion for totality can be used for proving the existence of a countable total subset in
Weak topologies
The
weak topology on a Banach space
is the coarsest topology on
for which all elements
in the continuous dual space
are continuous.
The norm topology is therefore finer than the weak topology.
It follows from the Hahn–Banach separation theorem that the weak topology is
Hausdorff space, and that a norm-closed
Convex set of a Banach space is also weakly closed.
[Theorem 2.5.16, p. 216 in .]
A norm-continuous linear map between two Banach spaces
and
is also
weakly continuous, that is, continuous from the weak topology of
to that of
[see II.A.8, p. 29 in ]
If is infinite-dimensional, there exist linear maps which are not continuous. The space of all linear maps from to the underlying field (this space is called the algebraic dual space, to distinguish it from also induces a topology on which is finer topology than the weak topology, and much less used in functional analysis.
On a dual space there is a topology weaker than the weak topology of called the weak topology.
It is the coarsest topology on for which all evaluation maps where ranges over are continuous.
Its importance comes from the Banach–Alaoglu theorem.
The Banach–Alaoglu theorem can be proved using Tychonoff's theorem about infinite products of compact Hausdorff spaces.
When is separable, the unit ball of the dual is a Metrizable space compact in the weak* topology.[see Theorem 2.6.23, p. 231 in .]
Examples of dual spaces
The dual of
is isometrically isomorphic to
: for every bounded linear functional
on
there is a unique element
such that
The dual of is isometrically isomorphic to .
The dual of Lebesgue space is isometrically isomorphic to when and
For every vector in a Hilbert space the mapping
defines a continuous linear functional on The Riesz representation theorem states that every continuous linear functional on is of the form for a uniquely defined vector in
The mapping is an Antilinear map isometric bijection from onto its dual
When the scalars are real, this map is an isometric isomorphism.
When is a compact Hausdorff topological space, the dual of is the space of in the sense of Bourbaki.[see N. Bourbaki, (2004), "Integration I", Springer Verlag, .]
The subset of consisting of non-negative measures of mass 1 (probability measures) is a convex w*-closed subset of the unit ball of
The of are the on
The set of Dirac measures on equipped with the w*-topology, is Homeomorphism to
The result has been extended by Amir and Cambern[ And ] to the case when the multiplicative Banach–Mazur distance between and is
The theorem is no longer true when the distance is
In the commutative Banach algebra the maximal ideals are precisely kernels of Dirac measures on
More generally, by the Gelfand–Mazur theorem, the maximal ideals of a unital commutative Banach algebra can be identified with its characters—not merely as sets but as topological spaces: the former with the hull-kernel topology and the latter with the w*-topology.
In this identification, the maximal ideal space can be viewed as a w*-compact subset of the unit ball in the dual
Not every unital commutative Banach algebra is of the form for some compact Hausdorff space However, this statement holds if one places in the smaller category of commutative C*-algebras.
Israel Gelfand representation theorem for commutative C*-algebras states that every commutative unital C*-algebra is isometrically isomorphic to a space.[See for example ]
The Hausdorff compact space here is again the maximal ideal space, also called the spectrum of in the C*-algebra context.
Bidual
If
is a normed space, the (continuous) dual
of the dual
is called the
' or ' of
For every normed space
there is a natural map,
Banach's theorems
Here are the main general results about Banach spaces that go back to the time of Banach's book () and are related to the Baire category theorem.
According to this theorem, a complete metric space (such as a Banach space, a Fréchet space or an
F-space) cannot be equal to a union of countably many closed subsets with empty interiors.
Therefore, a Banach space cannot be the union of countably many closed subspaces, unless it is already equal to one of them; a Banach space with a countable
Hamel basis is finite-dimensional.
The Banach–Steinhaus theorem is not limited to Banach spaces.
It can be extended for example to the case where X is a Fréchet space, provided the conclusion is modified as follows: under the same hypothesis, there exists a neighborhood U of \mathbf{0} in X such that all T in F are uniformly bounded on U,
\sup_{T \in F} \sup_{x \in U} \; \|T(x)\|_Y < \infty.
This result is a direct consequence of the preceding Banach isomorphism theorem and of the canonical factorization of bounded linear maps.
This is another consequence of Banach's isomorphism theorem, applied to the continuous bijection from M_1 \oplus \cdots \oplus M_n onto X sending m_1, \cdots, m_n to the sum m_1 + \cdots + m_n.
Reflexivity
The normed space
X is called
Reflexive space when the natural map
\begin{cases} F_X : X \to X'' \\ F_X(x) (f) = f(x) & \text{ for all } x \in X, \text{ and for all } f \in X'\end{cases}
is surjective. Reflexive normed spaces are Banach spaces.
This is a consequence of the Hahn–Banach theorem.
Further, by the open mapping theorem, if there is a bounded linear operator from the Banach space X onto the Banach space Y, then Y is reflexive.
Indeed, if the dual Y' of a Banach space Y is separable, then Y is separable.
If X is reflexive and separable, then the dual of X' is separable, so X' is separable.
Hilbert spaces are reflexive. The L^p spaces are reflexive when 1 < p < \infty. More generally, uniformly convex spaces are reflexive, by the Milman–Pettis theorem.
The spaces c_0, \ell^1, L^1(0,), C(0,) are not reflexive.
In these examples of non-reflexive spaces X, the bidual X'' is "much larger" than X.
Namely, under the natural isometric embedding of X into X given by the Hahn–Banach theorem, the quotient X / X is infinite-dimensional, and even nonseparable.
However, Robert C. James has constructed an example of a non-reflexive space, usually called " the James space" and denoted by J,[see , p. 25.] such that the quotient J'' / J is one-dimensional.
Furthermore, this space J is isometrically isomorphic to its bidual.
When X is reflexive, it follows that all closed and bounded Convex set of X are weakly compact.
In a Hilbert space H, the weak compactness of the unit ball is very often used in the following way: every bounded sequence in H has weakly convergent subsequences.
Weak compactness of the unit ball provides a tool for finding solutions in reflexive spaces to certain optimization problems.
For example, every Convex function continuous function on the unit ball B of a reflexive space attains its minimum at some point in B.
As a special case of the preceding result, when X is a reflexive space over \R, every continuous linear functional f in X' attains its maximum \|f\| on the unit ball of X.
The following theorem of Robert C. James provides a converse statement.
The theorem can be extended to give a characterization of weakly compact convex sets.
On every non-reflexive Banach space X, there exist continuous linear functionals that are not norm-attaining.
However, the Errett Bishop–Robert Phelps theorem states that norm-attaining functionals are norm dense in the dual X' of X.
Weak convergences of sequences
A sequence
\{x_n\} in a Banach space
X is
weakly convergent to a vector
x \in X if
\{f(x_n)\} converges to
f(x) for every continuous linear functional
f in the dual
X'. The sequence
\{x_n\} is a
weakly Cauchy sequence if
\{f(x_n)\} converges to a scalar limit
L(f) for every
f in
X'.
A sequence
\{f_n\} in the dual
X' is
weakly* convergent to a functional
f \in X' if
f_n(x) converges to
f(x) for every
x in
X.
Weakly Cauchy sequences, weakly convergent and weakly* convergent sequences are norm bounded, as a consequence of the Banach–Steinhaus theorem.
When the sequence \{x_n\} in X is a weakly Cauchy sequence, the limit L above defines a bounded linear functional on the dual X', that is, an element L of the bidual of X, and L is the limit of \{x_n\} in the weak*-topology of the bidual.
The Banach space X is weakly sequentially complete if every weakly Cauchy sequence is weakly convergent in X.
It follows from the preceding discussion that reflexive spaces are weakly sequentially complete.
An orthonormal sequence in a Hilbert space is a simple example of a weakly convergent sequence, with limit equal to the \mathbf{0} vector.
The unit vector basis of \ell^p for 1 < p < \infty, or of c_0, is another example of a weakly null sequence, that is, a sequence that converges weakly to \mathbf{0}.
For every weakly null sequence in a Banach space, there exists a sequence of convex combinations of vectors from the given sequence that is norm-converging to \mathbf{0}.[see Corollary 2, p. 11 in .]
The unit vector basis of \ell^1 is not weakly Cauchy.
Weakly Cauchy sequences in \ell^1 are weakly convergent, since L^1-spaces are weakly sequentially complete.
Actually, weakly convergent sequences in \ell^1 are norm convergent.[see p. 85 in .] This means that \ell^1 satisfies Schur's property.
Results involving the basis
Weakly Cauchy sequences and the
\ell^1 basis are the opposite cases of the dichotomy established in the following deep result of H. P. Rosenthal.
[ Rosenthal's proof is for real scalars. The complex version of the result is due to L. Dor, in ]
A complement to this result is due to Odell and Rosenthal (1975).
By the Goldstine theorem, every element of the unit ball B of X is weak*-limit of a net in the unit ball of X. When X does not contain \ell^1, every element of B'' is weak*-limit of a in the unit ball of X.[Odell and Rosenthal, Sublemma p. 378 and Remark p. 379.]
When the Banach space X is separable, the unit ball of the dual X', equipped with the weak*-topology, is a metrizable compact space K, and every element x in the bidual X defines a bounded function on K:
x' \in K \mapsto x (x'), \quad |x(x')| \leq \|x''\|.
This function is continuous for the compact topology of K if and only if x is actually in X, considered as subset of X.
Assume in addition for the rest of the paragraph that X does not contain \ell^1.
By the preceding result of Odell and Rosenthal, the function x'' is the pointwise limit on K of a sequence \{x_n\} \subseteq X of continuous functions on K, it is therefore a Baire function on K.
The unit ball of the bidual is a pointwise compact subset of the first Baire class on K.[for more on pointwise compact subsets of the Baire class, see .]
Sequences, weak and weak* compactness
When
X is separable, the unit ball of the dual is weak*-compact by the Banach–Alaoglu theorem and metrizable for the weak* topology,
hence every bounded sequence in the dual has weakly* convergent subsequences.
This applies to separable reflexive spaces, but more is true in this case, as stated below.
The weak topology of a Banach space X is metrizable if and only if X is finite-dimensional.[see Proposition 2.5.14, p. 215 in .] If the dual X' is separable, the weak topology of the unit ball of X is metrizable.
This applies in particular to separable reflexive Banach spaces.
Although the weak topology of the unit ball is not metrizable in general, one can characterize weak compactness using sequences.
A Banach space X is reflexive if and only if each bounded sequence in X has a weakly convergent subsequence.[see Corollary 2.8.9, p. 251 in .]
A weakly compact subset A in \ell^1 is norm-compact. Indeed, every sequence in A has weakly convergent subsequences by Eberlein–Šmulian, that are norm convergent by the Schur property of \ell^1.
Type and cotype
A way to classify Banach spaces is through the probabilistic notion of type and cotype, these two measure how far a Banach space is from a Hilbert space.
Schauder bases
A
Schauder basis in a Banach space
X is a sequence
\{e_n\}_{n \geq 0} of vectors in
X with the property that for every vector
x \in X, there exist defined scalars
\{x_n\}_{n \geq 0} depending on
x, such that
x = \sum_{n=0}^{\infty} x_n e_n, \quad \textit{i.e.,} \quad x = \lim_n P_n(x), \ P_n(x) := \sum_{k=0}^n x_k e_k.
Banach spaces with a Schauder basis are necessarily Separable space, because the countable set of finite linear combinations with rational coefficients (say) is dense.
It follows from the Banach–Steinhaus theorem that the linear mappings \{P_n\} are uniformly bounded by some constant C.
Let \{e_n^*\} denote the coordinate functionals which assign to every x in X the coordinate x_n of x in the above expansion.
They are called biorthogonal functionals. When the basis vectors have norm 1, the coordinate functionals \{e_n^*\} have norm {}\leq 2 C in the dual of X.
Most classical separable spaces have explicit bases.
The Haar wavelet \{h_n\} is a basis for L^p(0,) when 1 \leq p < \infty.
The trigonometric system is a basis in L^p(\mathbf{T}) when 1 < p < \infty.
The Schauder system is a basis in the space C(0,).[see p. 3.]
The question of whether the disk algebra A(\mathbf{D}) has a basis[the question appears p. 238, §3 in Banach's book, .] remained open for more than forty years, until Bočkarev showed in 1974 that A(\mathbf{D}) admits a basis constructed from the Franklin system.[see S. V. Bočkarev, "Existence of a basis in the space of functions analytic in the disc, and some properties of Franklin's system". (Russian) Mat. Sb. (N.S.) 95(137) (1974), 3–18, 159.]
Since every vector x in a Banach space X with a basis is the limit of P_n(x), with P_n of finite rank and uniformly bounded, the space X satisfies the bounded approximation property.
The first example by Per Enflo of a space failing the approximation property was at the same time the first example of a separable Banach space without a Schauder basis.[see ]
Robert C. James characterized reflexivity in Banach spaces with a basis: the space X with a Schauder basis is reflexive if and only if the basis is both shrinking and boundedly complete.[see R.C. James, "Bases and reflexivity of Banach spaces". Ann. of Math. (2) 52, (1950). 518–527. See also p. 9.]
In this case, the biorthogonal functionals form a basis of the dual of X.
Tensor product
Let
X and
Y be two
\mathbb{K}-vector spaces. The
tensor product X \otimes Y of
X and
Y is a
\mathbb{K}-vector space
Z with a bilinear mapping
T : X \times Y \to Z which has the following universal property:
- If T_1 : X \times Y \to Z_1 is any bilinear mapping into a \mathbb{K}-vector space Z_1, then there exists a unique linear mapping f : Z \to Z_1 such that T_1 = f \circ T.
The image under T of a couple (x, y) in X \times Y is denoted by x \otimes y, and called a simple tensor.
Every element z in X \otimes Y is a finite sum of such simple tensors.
There are various norms that can be placed on the tensor product of the underlying vector spaces, amongst others the projective cross norm and injective cross norm introduced by A. Grothendieck in 1955.[see A. Grothendieck, "Produits tensoriels topologiques et espaces nucléaires". Mem. Amer. Math. Soc. 1955 (1955), no. 16, 140 pp., and A. Grothendieck, "Résumé de la théorie métrique des produits tensoriels topologiques". Bol. Soc. Mat. São Paulo 8 1953 1–79.]
In general, the tensor product of complete spaces is not complete again. When working with Banach spaces, it is customary to say that the projective tensor product[see chap. 2, p. 15 in .] of two Banach spaces X and Y is the X \widehat{\otimes}_\pi Y of the algebraic tensor product X \otimes Y equipped with the projective tensor norm, and similarly for the injective tensor product[see chap. 3, p. 45 in .] X \widehat{\otimes}_\varepsilon Y.
Grothendieck proved in particular that[see Example. 2.19, p. 29, and pp. 49–50 in .]
\begin{align}
C(K) \widehat{\otimes}_\varepsilon Y &\simeq C(K, Y), \\
L^1(0,) \widehat{\otimes}_\pi Y &\simeq L^1(0,, Y),
\end{align}
where K is a compact Hausdorff space, C(K, Y) the Banach space of continuous functions from K to Y and L^1(0,, Y) the space of Bochner-measurable and integrable functions from 0, to Y, and where the isomorphisms are isometric.
The two isomorphisms above are the respective extensions of the map sending the tensor f \otimes y to the vector-valued function s \in K \to f(s) y \in Y.
Tensor products and the approximation property
Let
X be a Banach space. The tensor product
X' \widehat \otimes_\varepsilon X is identified isometrically with the closure in
B(X) of the set of finite rank operators.
When
X has the approximation property, this closure coincides with the space of
on
X.
For every Banach space Y, there is a natural norm 1 linear map
Y \widehat\otimes_\pi X \to Y \widehat\otimes_\varepsilon X
obtained by extending the identity map of the algebraic tensor product. Grothendieck related the approximation problem to the question of whether this map is one-to-one when Y is the dual of X.
Precisely, for every Banach space X, the map
X' \widehat \otimes_\pi X \ \longrightarrow X' \widehat \otimes_\varepsilon X
is one-to-one if and only if X has the approximation property.[see Proposition 4.6, p. 74 in .]
Grothendieck conjectured that X \widehat{\otimes}_\pi Y and X \widehat{\otimes}_\varepsilon Y must be different whenever X and Y are infinite-dimensional Banach spaces.
This was disproved by Gilles Pisier in 1983.[see Pisier, Gilles (1983), "Counterexamples to a conjecture of Grothendieck", Acta Math. 151:181–208.]
Pisier constructed an infinite-dimensional Banach space X such that X \widehat{\otimes}_\pi X and X \widehat{\otimes}_\varepsilon X are equal. Furthermore, just as Per Enflo example, this space X is a "hand-made" space that fails to have the approximation property. On the other hand, Szankowski proved that the classical space B(\ell^2) does not have the approximation property.[see Szankowski, Andrzej (1981), "B(H) does not have the approximation property", Acta Math. 147: 89–108. Ryan claims that this result is due to Per Enflo, p. 74 in .]
Some classification results
Characterizations of Hilbert space among Banach spaces
A necessary and sufficient condition for the norm of a Banach space
X to be associated to an inner product is the parallelogram identity:
It follows, for example, that the Lp space L^p(0,) is a Hilbert space only when p = 2.
If this identity is satisfied, the associated inner product is given by the polarization identity. In the case of real scalars, this gives:
\langle x, y\rangle = \tfrac{1}{4}(\|x+y\|^2 - \|x-y\|^2).
For complex scalars, defining the inner product so as to be \Complex-linear in x, Antilinear map in y, the polarization identity gives:
\langle x,y\rangle = \tfrac{1}{4}\left(\|x+y\|^2 - \|x-y\|^2 + i(\|x+iy\|^2 - \|x-iy\|^2)\right).
To see that the parallelogram law is sufficient, one observes in the real case that \langle x, y \rangle is symmetric, and in the complex case, that it satisfies the Hermitian symmetry property and \langle i x, y \rangle = i \langle x, y \rangle. The parallelogram law implies that \langle x, y \rangle is additive in x.
It follows that it is linear over the rationals, thus linear by continuity.
Several characterizations of spaces isomorphic (rather than isometric) to Hilbert spaces are available.
The parallelogram law can be extended to more than two vectors, and weakened by the introduction of a two-sided inequality with a constant c \geq 1: Kwapień proved that if
c^{-2} \sum_{k=1}^n \|x_k\|^2 \leq \operatorname{Ave}_{\pm} \left\|\sum_{k=1}^n \pm x_k\right\|^2 \leq c^2 \sum_{k=1}^n \|x_k\|^2
for every integer n and all families of vectors \{x_1, \ldots, x_n\} \subseteq X, then the Banach space X is isomorphic to a Hilbert space.[see Kwapień, S. (1970), "A linear topological characterization of inner-product spaces", Studia Math. 38:277–278.]
Here, \operatorname{Ave}_{\pm} denotes the average over the 2^n possible choices of signs \pm 1.
In the same article, Kwapień proved that the validity of a Banach-valued Parseval's theorem for the Fourier transform characterizes Banach spaces isomorphic to Hilbert spaces.
Lindenstrauss and Tzafriri proved that a Banach space in which every closed linear subspace is complemented (that is, is the range of a bounded linear projection) is isomorphic to a Hilbert space. The proof rests upon Dvoretzky's theorem about Euclidean sections of high-dimensional centrally symmetric convex bodies. In other words, Dvoretzky's theorem states that for every integer n, any finite-dimensional normed space, with dimension sufficiently large compared to n, contains subspaces nearly isometric to the n-dimensional Euclidean space.
The next result gives the solution of the so-called . An infinite-dimensional Banach space X is said to be homogeneous if it is isomorphic to all its infinite-dimensional closed subspaces. A Banach space isomorphic to \ell^2 is homogeneous, and Banach asked for the converse.[see p. 245 in . The homogeneity property is called "propriété (15)" there. Banach writes: "on ne connaît aucun exemple d'espace à une infinité de dimensions qui, sans être isomorphe avec (L^2). possède la propriété (15)".]
An infinite-dimensional Banach space is hereditarily indecomposable when no subspace of it can be isomorphic to the direct sum of two infinite-dimensional Banach spaces.
The Timothy Gowers dichotomy theorem asserts that every infinite-dimensional Banach space X contains, either a subspace Y with unconditional basis, or a hereditarily indecomposable subspace Z, and in particular, Z is not isomorphic to its closed hyperplanes.[see ]
If X is homogeneous, it must therefore have an unconditional basis. It follows then from the partial solution obtained by Komorowski and Tomczak–Jaegermann, for spaces with an unconditional basis,[see and also ] that X is isomorphic to \ell^2.
Metric classification
If
T : X \to Y is an
isometry from the Banach space
X onto the Banach space
Y (where both
X and
Y are vector spaces over
\R), then the Mazur–Ulam theorem states that
T must be an affine transformation.
In particular, if
T(0_X) = 0_Y, this is
T maps the zero of
X to the zero of
Y, then
T must be linear. This result implies that the metric in Banach spaces, and more generally in normed spaces, completely captures their linear structure.
Topological classification
Finite dimensional Banach spaces are homeomorphic as topological spaces, if and only if they have the same dimension as real vector spaces.
Anderson–Kadec theorem (1965–66) proves that any two infinite-dimensional separable space Banach spaces are homeomorphic as topological spaces. Kadec's theorem was extended by Torunczyk, who proved that any two Banach spaces are homeomorphic if and only if they have the same density character, the minimum cardinality of a dense subset.
Spaces of continuous functions
When two compact Hausdorff spaces
K_1 and
K_2 are
Homeomorphism, the Banach spaces
C(K_1) and
C(K_2) are isometric. Conversely, when
K_1 is not homeomorphic to
K_2, the (multiplicative) Banach–Mazur distance between
C(K_1) and
C(K_2) must be greater than or equal to
2, see above the results by Amir and Cambern.
Although uncountable compact metric spaces can have different homeomorphy types, one has the following result due to Milutin:
[Milyutin, Alekseĭ A. (1966), "Isomorphism of the spaces of continuous functions over compact sets of the cardinality of the continuum". (Russian) Teor. Funkciĭ Funkcional. Anal. i Priložen. Vyp. 2:150–156.]
The situation is different for Countable set compact Hausdorff spaces.
Every countably infinite compact K is homeomorphic to some closed interval of
\langle 1, \alpha \rangle = \{ \gamma \mid 1 \leq \gamma \leq \alpha\}
equipped with the order topology, where \alpha is a countably infinite ordinal.[One can take , where \beta + 1 is the Cantor–Bendixson rank of K, and n > 0 is the finite number of points in the \beta-th derived set K(\beta) of K. See Mazurkiewicz, Stefan; Sierpiński, Wacław (1920), "Contribution à la topologie des ensembles dénombrables", Fundamenta Mathematicae 1: 17–27.]
The Banach space C(K) is then isometric to . When \alpha, \beta are two countably infinite ordinals, and assuming \alpha \leq \beta, the spaces and are isomorphic if and only if .[Bessaga, Czesław; Pełczyński, Aleksander (1960), "Spaces of continuous functions. IV. On isomorphical classification of spaces of continuous functions", Studia Math. 19:53–62.]
For example, the Banach spaces
C(\langle 1, \omega\rangle), \ C(\langle 1, \omega^{\omega} \rangle), \ C(\langle 1, \omega^{\omega^2}\rangle), \ C(\langle 1, \omega^{\omega^3} \rangle), \cdots, C(\langle 1, \omega^{\omega^\omega} \rangle), \cdots
are mutually non-isomorphic.
Examples
Derivatives
Several concepts of a derivative may be defined on a Banach space. See the articles on the Fréchet derivative and the Gateaux derivative for details.
The Fréchet derivative allows for an extension of the concept of a
total derivative to Banach spaces. The Gateaux derivative allows for an extension of a directional derivative to
locally convex topological vector spaces.
Fréchet differentiability is a stronger condition than Gateaux differentiability.
The
quasi-derivative is another generalization of directional derivative that implies a stronger condition than Gateaux differentiability, but a weaker condition than Fréchet differentiability.
Generalizations
Several important spaces in functional analysis, for instance the space of all infinitely often differentiable functions
\R \to \R, or the space of all distributions on
\R, are complete but are not normed vector spaces and hence not Banach spaces.
In Fréchet spaces one still has a complete
Metric space, while
are complete
Uniform space vector spaces arising as limits of Fréchet spaces.
See also
Notes
Bibliography
External links