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Banach–Alaoglu theorem

From Wikipedia, the free encyclopedia
Theorem in functional analysis

Infunctional analysis and related branches ofmathematics, theBanach–Alaoglu theorem (also known asAlaoglu's theorem) states that theclosedunit ball of thedual space of anormed vector space iscompact in theweak* topology.[1] A common proof identifies the unit ball with the weak-* topology as a closed subset of aproduct of compact sets with theproduct topology. As a consequence ofTychonoff's theorem, this product, and hence the unit ball within, is compact.

This theorem has applications in physics when one describes the set of states of an algebra of observables, namely that any state can be written as a convex linear combination of so-called pure states.

History

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According to Lawrence Narici and Edward Beckenstein, the Alaoglu theorem is a “very important result—maybethe most important fact about theweak-* topology—[that] echos throughout functional analysis.”[2] In 1912, Helly proved that the unit ball of the continuous dual space ofC([a,b]){\displaystyle C([a,b])} is countably weak-* compact.[3] In 1932,Stefan Banach proved that the closed unit ball in the continuous dual space of anyseparablenormed space is sequentially weak-* compact (Banach only consideredsequential compactness).[3] The proof for the general case was published in 1940 by the mathematicianLeonidas Alaoglu. According to Pietsch [2007], there are at least twelve mathematicians who can lay claim to this theorem or an important predecessor to it.[2]

TheBourbaki–Alaoglu theorem is a generalization[4][5] of the original theorem byBourbaki todual topologies onlocally convex spaces. This theorem is also called theBanach–Alaoglu theorem or theweak-* compactness theorem and it is commonly called simply theAlaoglu theorem.[2]

Statement

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See also:Topological vector space § Dual space,Dual system, andPolar set

IfX{\displaystyle X} is a vector space over the fieldK{\displaystyle \mathbb {K} } thenX#{\displaystyle X^{\#}} will denote thealgebraic dual space ofX{\displaystyle X} and these two spaces are henceforth associated with thebilinearevaluation map,:X×X#K{\displaystyle \left\langle \cdot ,\cdot \right\rangle :X\times X^{\#}\to \mathbb {K} } defined byx,f =def f(x){\displaystyle \left\langle x,f\right\rangle ~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~f(x)}where the tripleX,X#,,{\displaystyle \left\langle X,X^{\#},\left\langle \cdot ,\cdot \right\rangle \right\rangle } forms adual system called thecanonical dual system.

IfX{\displaystyle X} is atopological vector space (TVS) then itscontinuous dual space will be denoted byX,{\displaystyle X^{\prime },} whereXX#{\displaystyle X^{\prime }\subseteq X^{\#}} always holds. Denote theweak-* topology onX#{\displaystyle X^{\#}} byσ(X#,X){\displaystyle \sigma \left(X^{\#},X\right)} and denote the weak-* topology onX{\displaystyle X^{\prime }} byσ(X,X).{\displaystyle \sigma \left(X^{\prime },X\right).} The weak-* topology is also called thetopology of pointwise convergence because given a mapf{\displaystyle f} and anet of mapsf=(fi)iI,{\displaystyle f_{\bullet }=\left(f_{i}\right)_{i\in I},} the netf{\displaystyle f_{\bullet }} converges tof{\displaystyle f} in this topology if and only if for every pointx{\displaystyle x} in the domain, the net of values(fi(x))iI{\displaystyle \left(f_{i}(x)\right)_{i\in I}} converges to the valuef(x).{\displaystyle f(x).}

Alaoglu theorem[3]For anytopological vector space (TVS)X{\displaystyle X} (not necessarilyHausdorff orlocally convex) withcontinuous dual spaceX,{\displaystyle X^{\prime },} thepolarU={fX : supuU|f(u)|1}{\displaystyle U^{\circ }=\left\{f\in X^{\prime }~:~\sup _{u\in U}|f(u)|\leq 1\right\}} of anyneighborhoodU{\displaystyle U} of origin inX{\displaystyle X} is compact in theweak-* topology[note 1]σ(X,X){\displaystyle \sigma \left(X^{\prime },X\right)} onX.{\displaystyle X^{\prime }.} Moreover,U{\displaystyle U^{\circ }} is equal to the polar ofU{\displaystyle U} with respect to the canonical systemX,X#{\displaystyle \left\langle X,X^{\#}\right\rangle } and it is also a compact subset of(X#,σ(X#,X)).{\displaystyle \left(X^{\#},\sigma \left(X^{\#},X\right)\right).}

Proof involving duality theory

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Proof

Denote by the underlying field ofX{\displaystyle X} byK,{\displaystyle \mathbb {K} ,} which is either thereal numbersR{\displaystyle \mathbb {R} } orcomplex numbersC.{\displaystyle \mathbb {C} .} This proof will use some of the basic properties that are listed in the articles:polar set,dual system, andcontinuous linear operator.

To start the proof, some definitions and readily verified results are recalled. WhenX#{\displaystyle X^{\#}} is endowed with theweak-* topologyσ(X#,X),{\displaystyle \sigma \left(X^{\#},X\right),} then thisHausdorfflocally convex topological vector space is denoted by(X#,σ(X#,X)).{\displaystyle \left(X^{\#},\sigma \left(X^{\#},X\right)\right).} The space(X#,σ(X#,X)){\displaystyle \left(X^{\#},\sigma \left(X^{\#},X\right)\right)} is always acomplete TVS; however,(X,σ(X,X)){\displaystyle \left(X^{\prime },\sigma \left(X^{\prime },X\right)\right)} may fail to be a complete space, which is the reason why this proof involves the space(X#,σ(X#,X)).{\displaystyle \left(X^{\#},\sigma \left(X^{\#},X\right)\right).} Specifically, this proof will use the fact that a subset of a complete Hausdorff space is compact if (and only if) it is closed andtotally bounded. Importantly, thesubspace topology thatX{\displaystyle X^{\prime }} inherits from(X#,σ(X#,X)){\displaystyle \left(X^{\#},\sigma \left(X^{\#},X\right)\right)} is equal toσ(X,X).{\displaystyle \sigma \left(X^{\prime },X\right).} This can be readily verified by showing that given anyfX,{\displaystyle f\in X^{\prime },} anet inX{\displaystyle X^{\prime }} converges tof{\displaystyle f} in one of these topologies if and only if it also converges tof{\displaystyle f} in the other topology (the conclusion follows because two topologies are equal if and only if they have the exact same convergent nets).

The tripleX,X{\displaystyle \left\langle X,X^{\prime }\right\rangle } is adual pairing although unlikeX,X#,{\displaystyle \left\langle X,X^{\#}\right\rangle ,} it is in general not guaranteed to be a dual system. Throughout, unless stated otherwise, all polar sets will be taken with respect to the canonicalpairingX,X.{\displaystyle \left\langle X,X^{\prime }\right\rangle .}

LetU{\displaystyle U} be a neighborhood of the origin inX{\displaystyle X} and let:

A well known fact about polar sets is thatUU.{\displaystyle U^{\circ \circ \circ }\subseteq U^{\circ }.}

  1. Show thatU#{\displaystyle U^{\#}} is aσ(X#,X){\displaystyle \sigma \left(X^{\#},X\right)}-closed subset ofX#:{\displaystyle X^{\#}:} LetfX#{\displaystyle f\in X^{\#}} and suppose thatf=(fi)iI{\displaystyle f_{\bullet }=\left(f_{i}\right)_{i\in I}} is a net inU#{\displaystyle U^{\#}} that converges tof{\displaystyle f} in(X#,σ(X#,X)).{\displaystyle \left(X^{\#},\sigma \left(X^{\#},X\right)\right).} To conclude thatfU#,{\displaystyle f\in U^{\#},} it is sufficient (and necessary) to show that|f(u)|1{\displaystyle |f(u)|\leq 1} for everyuU.{\displaystyle u\in U.} Becausefi(u)f(u){\displaystyle f_{i}(u)\to f(u)} in the scalar fieldK{\displaystyle \mathbb {K} } and every valuefi(u){\displaystyle f_{i}(u)} belongs to the closed (inK{\displaystyle \mathbb {K} }) subset{sK:|s|1},{\displaystyle \left\{s\in \mathbb {K} :|s|\leq 1\right\},} so too must this net's limitf(u){\displaystyle f(u)} belong to this set. Thus|f(u)|1.{\displaystyle |f(u)|\leq 1.}
  2. Show thatU#=U{\displaystyle U^{\#}=U^{\circ }} and then conclude thatU{\displaystyle U^{\circ }} is a closed subset of both(X#,σ(X#,X)){\displaystyle \left(X^{\#},\sigma \left(X^{\#},X\right)\right)} and(X,σ(X,X)):{\displaystyle \left(X^{\prime },\sigma \left(X^{\prime },X\right)\right):} The inclusionUU#{\displaystyle U^{\circ }\subseteq U^{\#}} holds because every continuous linear functional is (in particular) a linear functional. For the reverse inclusionU#U,{\displaystyle \,U^{\#}\subseteq U^{\circ },\,} letfU#{\displaystyle f\in U^{\#}} so thatsupuU|f(u)|1,{\displaystyle \;\sup _{u\in U}|f(u)|\leq 1,\,} which states exactly that the linear functionalf{\displaystyle f} is bounded on the neighborhoodU{\displaystyle U}; thusf{\displaystyle f} is acontinuous linear functional (that is,fX{\displaystyle f\in X^{\prime }}) and sofU,{\displaystyle f\in U^{\circ },} as desired. Using (1) and the fact that the intersectionU#X=UX=U{\displaystyle U^{\#}\cap X^{\prime }=U^{\circ }\cap X^{\prime }=U^{\circ }} is closed in the subspace topology onX,{\displaystyle X^{\prime },} the claim aboutU{\displaystyle U^{\circ }} being closed follows.
  3. Show thatU{\displaystyle U^{\circ }} is aσ(X,X){\displaystyle \sigma \left(X^{\prime },X\right)}-totally bounded subset ofX:{\displaystyle X^{\prime }:} By thebipolar theorem,UU{\displaystyle U\subseteq U^{\circ \circ }} where because the neighborhoodU{\displaystyle U} is anabsorbing subset ofX,{\displaystyle X,} the same must be true of the setU;{\displaystyle U^{\circ \circ };} it is possible to prove that this implies thatU{\displaystyle U^{\circ }} is aσ(X,X){\displaystyle \sigma \left(X^{\prime },X\right)}-bounded subset ofX.{\displaystyle X^{\prime }.} BecauseX{\displaystyle X}distinguishes points ofX,{\displaystyle X^{\prime },} a subset ofX{\displaystyle X^{\prime }} isσ(X,X){\displaystyle \sigma \left(X^{\prime },X\right)}-bounded if and only if it isσ(X,X){\displaystyle \sigma \left(X^{\prime },X\right)}-totally bounded. So in particular,U{\displaystyle U^{\circ }} is alsoσ(X,X){\displaystyle \sigma \left(X^{\prime },X\right)}-totally bounded.
  4. Conclude thatU{\displaystyle U^{\circ }} is also aσ(X#,X){\displaystyle \sigma \left(X^{\#},X\right)}-totally bounded subset ofX#:{\displaystyle X^{\#}:} Recall that theσ(X,X){\displaystyle \sigma \left(X^{\prime },X\right)} topology onX{\displaystyle X^{\prime }} is identical to the subspace topology thatX{\displaystyle X^{\prime }} inherits from(X#,σ(X#,X)).{\displaystyle \left(X^{\#},\sigma \left(X^{\#},X\right)\right).} This fact, together with (3) and the definition of "totally bounded", implies thatU{\displaystyle U^{\circ }} is aσ(X#,X){\displaystyle \sigma \left(X^{\#},X\right)}-totally bounded subset ofX#.{\displaystyle X^{\#}.}
  5. Finally, deduce thatU{\displaystyle U^{\circ }} is aσ(X,X){\displaystyle \sigma \left(X^{\prime },X\right)}-compact subset ofX:{\displaystyle X^{\prime }:} Because(X#,σ(X#,X)){\displaystyle \left(X^{\#},\sigma \left(X^{\#},X\right)\right)} is acomplete TVS andU{\displaystyle U^{\circ }} is a closed (by (2)) and totally bounded (by (4)) subset of(X#,σ(X#,X)),{\displaystyle \left(X^{\#},\sigma \left(X^{\#},X\right)\right),} it follows thatU{\displaystyle U^{\circ }} is compact.{\displaystyle \blacksquare }

IfX{\displaystyle X} is anormed vector space, then the polar of a neighborhood is closed and norm-bounded in the dual space. In particular, ifU{\displaystyle U} is the open (or closed) unit ball inX{\displaystyle X} then the polar ofU{\displaystyle U} is the closed unit ball in the continuous dual spaceX{\displaystyle X^{\prime }} ofX{\displaystyle X} (with theusual dual norm). Consequently, this theorem can be specialized to:

Banach–Alaoglu theoremIfX{\displaystyle X} is a normed space then the closed unit ball in the continuous dual spaceX{\displaystyle X^{\prime }} (endowed with its usualoperator norm) is compact with respect to theweak-* topology.

When the continuous dual spaceX{\displaystyle X^{\prime }} ofX{\displaystyle X} is an infinite dimensional normed space then it isimpossible for the closed unit ball inX{\displaystyle X^{\prime }} to be a compact subset whenX{\displaystyle X^{\prime }} has its usual norm topology. This is because the unit ball in the norm topology is compact if and only if the space is finite-dimensional (cf.F. Riesz theorem). This theorem is one example of the utility of having different topologies on the same vector space.

It should be cautioned that despite appearances, the Banach–Alaoglu theorem doesnot imply that the weak-* topology islocally compact. This is because the closed unit ball is only a neighborhood of the origin in thestrong topology, but is usually not a neighborhood of the origin in the weak-* topology, as it has empty interior in the weak* topology, unless the space is finite-dimensional. In fact, it is a result ofWeil that alllocally compactHausdorff topological vector spaces must be finite-dimensional.

Elementary proof

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The followingelementary proof does not utilizeduality theory and requires only basic concepts from set theory, topology, and functional analysis. What is needed from topology is a working knowledge ofnetconvergence intopological spaces and familiarity with the fact that alinear functional is continuous if and only if it isbounded on a neighborhood of the origin (see the articles oncontinuous linear functionals andsublinear functionals for details). Also required is a proper understanding of the technical details of how the spaceKX{\displaystyle \mathbb {K} ^{X}} of all functions of the formXK{\displaystyle X\to \mathbb {K} } is identified as theCartesian productxXK,{\textstyle \prod _{x\in X}\mathbb {K} ,} and the relationship betweenpointwise convergence, theproduct topology, andsubspace topologies they induce on subsets such as thealgebraic dual spaceX#{\displaystyle X^{\#}} and products of subspaces such asxXBrx.{\textstyle \prod _{x\in X}B_{r_{x}}.} An explanation of these details is now given for readers who are interested.

Primer on product/function spaces, nets, and pointwise convergence

For every realr,{\displaystyle r,}Br =def {cK:|c|r}{\displaystyle B_{r}~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~\{c\in \mathbb {K} :|c|\leq r\}} will denote the closed ball of radiusr{\displaystyle r} centered at0{\displaystyle 0} andrU =def {ru:uU}{\displaystyle rU~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~\{ru:u\in U\}} for anyUX,{\displaystyle U\subseteq X,}

Identification of functions with tuples

The Cartesian productxXK{\textstyle \prod _{x\in X}\mathbb {K} } is usually thought of as the set of allX{\displaystyle X}-indexedtupless=(sx)xX{\displaystyle s_{\bullet }=\left(s_{x}\right)_{x\in X}} but, since tuples are technically just functions from an indexing set, it can also be identified with the spaceKX{\displaystyle \mathbb {K} ^{X}} of all functions having prototypeXK,{\displaystyle X\to \mathbb {K} ,} as is now described:

This is the reason why many authors write, often without comment, the equalityKX=xXK{\displaystyle \mathbb {K} ^{X}=\prod _{x\in X}\mathbb {K} }and why the Cartesian productxXK{\textstyle \prod _{x\in X}\mathbb {K} } is sometimes taken as the definition of the set of mapsKX{\displaystyle \mathbb {K} ^{X}} (or conversely). However, the Cartesian product, being the(categorical) product in thecategory ofsets (which is a type ofinverse limit), also comes equipped with associated maps that are known as its (coordinate)projections.

Thecanonical projection of the Cartesian product at a given pointzX{\displaystyle z\in X} is the functionPrz:xXKK defined by s=(sx)xXsz{\displaystyle \Pr {}_{z}:\prod _{x\in X}\mathbb {K} \to \mathbb {K} \quad {\text{ defined by }}\quad s_{\bullet }=\left(s_{x}\right)_{x\in X}\mapsto s_{z}}where under the above identification,Prz{\displaystyle \Pr {}_{z}} sends a functions:XK{\displaystyle s:X\to \mathbb {K} } toPrz(s) =def s(z).{\displaystyle \Pr {}_{z}(s)~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~s(z).} Stated in words, for a pointz{\displaystyle z} and functions,{\displaystyle s,} "pluggingz{\displaystyle z} intos{\displaystyle s}" is the same as "pluggings{\displaystyle s} intoPrz{\displaystyle \Pr {}_{z}}".

In particular, suppose that(rx)xX{\displaystyle \left(r_{x}\right)_{x\in X}} are non-negative real numbers. ThenxXBrxxXK=KX,{\displaystyle \prod _{x\in X}B_{r_{x}}\subseteq \prod _{x\in X}\mathbb {K} =\mathbb {K} ^{X},} where under the above identification of tuples with functions,xXBrx{\displaystyle \prod _{x\in X}B_{r_{x}}} is the set of all functionssKX{\displaystyle s\in \mathbb {K} ^{X}} such thats(x)Brx{\displaystyle s(x)\in B_{r_{x}}} for everyxX.{\displaystyle x\in X.}

If a subsetUX{\displaystyle U\subseteq X}partitionsX{\displaystyle X} intoX=U(XU){\displaystyle X=U\,\cup \,(X\setminus U)} then the linear bijectionH:xXK(uUK)×xXUK(fx)xX((fu)uU,(fx)xXU){\displaystyle {\begin{alignedat}{4}H:\;&&\prod _{x\in X}\mathbb {K} &&\;\to \;&\left(\prod _{u\in U}\mathbb {K} \right)\times \prod _{x\in X\setminus U}\mathbb {K} \\[0.3ex]&&\left(f_{x}\right)_{x\in X}&&\;\mapsto \;&\left(\left(f_{u}\right)_{u\in U},\;\left(f_{x}\right)_{x\in X\setminus U}\right)\\\end{alignedat}}}canonically identifies these two Cartesian products; moreover, this map is ahomeomorphism when these products are endowed with their product topologies. In terms of function spaces, this bijection could be expressed asH:KXKU×KXUf(f|U,f|XU).{\displaystyle {\begin{alignedat}{4}H:\;&&\mathbb {K} ^{X}&&\;\to \;&\mathbb {K} ^{U}\times \mathbb {K} ^{X\setminus U}\\[0.3ex]&&f&&\;\mapsto \;&\left(f{\big \vert }_{U},\;f{\big \vert }_{X\setminus U}\right)\\\end{alignedat}}.}

Notation for nets and function composition with nets

Anetx=(xi)iI{\displaystyle x_{\bullet }=\left(x_{i}\right)_{i\in I}} inX{\displaystyle X} is by definition a functionx:IX{\displaystyle x_{\bullet }:I\to X} from a non-emptydirected set(I,).{\displaystyle (I,\leq ).} Everysequence inX,{\displaystyle X,} which by definition is just a function of the formNX,{\displaystyle \mathbb {N} \to X,} is also a net. As with sequences, the value of a netx{\displaystyle x_{\bullet }} at an indexiI{\displaystyle i\in I} is denoted byxi{\displaystyle x_{i}}; however, for this proof, this valuexi{\displaystyle x_{i}} may also be denoted by the usual function parentheses notationx(i).{\displaystyle x_{\bullet }(i).} Similarly forfunction composition, ifF:XY{\displaystyle F:X\to Y} is any function then the net (or sequence) that results from "pluggingx{\displaystyle x_{\bullet }} intoF{\displaystyle F}" is just the functionFx:IY,{\displaystyle F\circ x_{\bullet }:I\to Y,} although this is typically denoted by(F(xi))iI{\displaystyle \left(F\left(x_{i}\right)\right)_{i\in I}} (or by(F(xi))i=1{\displaystyle \left(F\left(x_{i}\right)\right)_{i=1}^{\infty }} ifx{\displaystyle x_{\bullet }} is a sequence). In the proofs below, this resulting net may be denoted by any of the following notationsF(x)=(F(xi))iI =def Fx,{\displaystyle F\left(x_{\bullet }\right)=\left(F\left(x_{i}\right)\right)_{i\in I}~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~F\circ x_{\bullet },} depending on whichever notation is cleanest or most clearly communicates the intended information. In particular, ifF:XY{\displaystyle F:X\to Y} is continuous andxx{\displaystyle x_{\bullet }\to x} inX,{\displaystyle X,} then the conclusion commonly written as(F(xi))iIF(x){\displaystyle \left(F\left(x_{i}\right)\right)_{i\in I}\to F(x)} may instead be written asF(x)F(x){\displaystyle F\left(x_{\bullet }\right)\to F(x)} orFxF(x).{\displaystyle F\circ x_{\bullet }\to F(x).}

Topology

The setKX=xXK{\textstyle \mathbb {K} ^{X}=\prod _{x\in X}\mathbb {K} } is assumed to be endowed with theproduct topology. It is well known that the product topology is identical to thetopology of pointwise convergence. This is because givenf{\displaystyle f} and anet(fi)iI,{\displaystyle \left(f_{i}\right)_{i\in I},} wheref{\displaystyle f} and everyfi{\displaystyle f_{i}} is an element ofKX=xXK,{\textstyle \mathbb {K} ^{X}=\prod _{x\in X}\mathbb {K} ,} then the net(fi)iIf{\displaystyle \left(f_{i}\right)_{i\in I}\to f}converges in the product topology if and only if

for everyzX,{\displaystyle z\in X,} the netPrz((fi)iI)Prz(f){\displaystyle \Pr {}_{z}\left(\left(f_{i}\right)_{i\in I}\right)\to \Pr {}_{z}(f)} converges inK,{\displaystyle \mathbb {K} ,}

where becausePrz(f)=f(z){\displaystyle \;\Pr {}_{z}(f)=f(z)\;} andPrz((fi)iI) =def (Prz(fi))iI=(fi(z))iI,{\textstyle \Pr {}_{z}\left(\left(f_{i}\right)_{i\in I}\right)~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~\left(\Pr {}_{z}\left(f_{i}\right)\right)_{i\in I}=\left(f_{i}(z)\right)_{i\in I},} this happens if and only if

for everyzX,{\displaystyle z\in X,} the net(fi(z))iIf(z){\displaystyle \left(f_{i}(z)\right)_{i\in I}\to f(z)} converges inK,{\displaystyle \mathbb {K} ,}

Thus(fi)iI{\displaystyle \left(f_{i}\right)_{i\in I}} converges tof{\displaystyle f} in the product topology if and only if it converges tof{\displaystyle f} pointwise onX.{\displaystyle X.}

This proof will also use the fact that the topology of pointwise convergence is preserved when passing totopological subspaces. This means, for example, that if for everyxX,{\displaystyle x\in X,}SxK{\displaystyle S_{x}\subseteq \mathbb {K} } is some(topological) subspace ofK{\displaystyle \mathbb {K} } then the topology of pointwise convergence (or equivalently, the product topology) onxXSx{\textstyle \prod _{x\in X}S_{x}} is equal to thesubspace topology that the setxXSx{\textstyle \prod _{x\in X}S_{x}} inherits fromxXK.{\textstyle \prod _{x\in X}\mathbb {K} .} And ifSx{\displaystyle S_{x}} is closed inK{\displaystyle \mathbb {K} } for everyxX,{\displaystyle x\in X,} thenxXSx{\textstyle \prod _{x\in X}S_{x}} is a closed subset ofxXK.{\textstyle \prod _{x\in X}\mathbb {K} .}

Characterization ofsupuU|f(u)|r{\displaystyle \sup _{u\in U}|f(u)|\leq r}

An important fact used by the proof is that for any realr,{\displaystyle r,}supuU|f(u)|r if and only if f(U)Br{\displaystyle \sup _{u\in U}|f(u)|\leq r\qquad {\text{ if and only if }}\qquad f(U)\subseteq B_{r}}wheresup{\displaystyle \,\sup \,} denotes thesupremum andf(U) =def {f(u):uU}.{\displaystyle f(U)~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~\{f(u):u\in U\}.} As a side note, this characterization does not hold if the closed ballBr{\displaystyle B_{r}} is replaced with the open ball{cK:|c|<r}{\displaystyle \{c\in \mathbb {K} :|c|<r\}} (and replacingsupuU|f(u)|r{\displaystyle \;\sup _{u\in U}|f(u)|\leq r\;} with the strict inequalitysupuU|f(u)|<r{\displaystyle \;\sup _{u\in U}|f(u)|<r\;} will not change this; for counter-examples, considerX =def K{\displaystyle X~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~\mathbb {K} } and theidentity mapf =def Id{\displaystyle f~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~\operatorname {Id} } onX{\displaystyle X}).

The essence of the Banach–Alaoglu theorem can be found in the next proposition, from which the Banach–Alaoglu theorem follows. Unlike the Banach–Alaoglu theorem, this proposition doesnot require the vector spaceX{\displaystyle X} to endowed with any topology.

Proposition[3]LetU{\displaystyle U} be a subset of a vector spaceX{\displaystyle X} over the fieldK{\displaystyle \mathbb {K} } (whereK=R or K=C{\displaystyle \mathbb {K} =\mathbb {R} {\text{ or }}\mathbb {K} =\mathbb {C} }) and for every real numberr,{\displaystyle r,} endow the closed ballBr =def {sK:|s|r}{\textstyle B_{r}~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~\{s\in \mathbb {K} :|s|\leq r\}} with itsusual topology (X{\displaystyle X} need not be endowed with any topology, butK{\displaystyle \mathbb {K} } has its usualEuclidean topology). DefineU# =def {fX# : supuU|f(u)|1}.{\displaystyle U^{\#}~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~{\Big \{}f\in X^{\#}~:~\sup _{u\in U}|f(u)|\leq 1{\Big \}}.}

If for everyxX,{\displaystyle x\in X,}rx>0{\displaystyle r_{x}>0} is a real number such thatxrxU,{\displaystyle x\in r_{x}U,} thenU#{\displaystyle U^{\#}} is a closed andcompactsubspace of theproduct spacexXBrx{\displaystyle \prod _{x\in X}B_{r_{x}}} (where because thisproduct topology is identical to thetopology of pointwise convergence, which is also called theweak-* topology in functional analysis, this means thatU#{\displaystyle U^{\#}} is compact in the weak-* topology or "weak-* compact" for short).

Before proving the proposition above, it is first shown how the Banach–Alaoglu theorem follows from it (unlike the proposition, Banach–Alaoglu assumes thatX{\displaystyle X} is atopological vector space (TVS) and thatU{\displaystyle U} is a neighborhood of the origin).

Proof that Banach–Alaoglu follows from the proposition above

Assume thatX{\displaystyle X} is atopological vector space with continuous dual spaceX{\displaystyle X^{\prime }} and thatU{\displaystyle U} is a neighborhood of the origin. BecauseU{\displaystyle U} is a neighborhood of the origin inX,{\displaystyle X,} it is also anabsorbing subset ofX,{\displaystyle X,} so for everyxX,{\displaystyle x\in X,} there exists a real numberrx>0{\displaystyle r_{x}>0} such thatxrxU.{\displaystyle x\in r_{x}U.} Thus the hypotheses of the above proposition are satisfied, and so the setU#{\displaystyle U^{\#}} is therefore compact in theweak-* topology. The proof of the Banach–Alaoglu theorem will be complete once it is shown thatU#=U,{\displaystyle U^{\#}=U^{\circ },}[note 2] where recall thatU{\displaystyle U^{\circ }} was defined asU =def {fX : supuU|f(u)|1} = U#X.{\displaystyle U^{\circ }~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~{\Big \{}f\in X^{\prime }~:~\sup _{u\in U}|f(u)|\leq 1{\Big \}}~=~U^{\#}\cap X^{\prime }.}

Proof thatU=U#:{\displaystyle U^{\circ }=U^{\#}:} BecauseU=U#X,{\displaystyle U^{\circ }=U^{\#}\cap X^{\prime },} the conclusion is equivalent toU#X.{\displaystyle U^{\#}\subseteq X^{\prime }.} IffU#{\displaystyle f\in U^{\#}} thensupuU|f(u)|1,{\displaystyle \;\sup _{u\in U}|f(u)|\leq 1,\,} which states exactly that the linear functionalf{\displaystyle f} is bounded on the neighborhoodU;{\displaystyle U;} thusf{\displaystyle f} is acontinuous linear functional (that is,fX{\displaystyle f\in X^{\prime }}), as desired.{\displaystyle \blacksquare }

Proof of Proposition

Theproduct spacexXBrx{\textstyle \prod _{x\in X}B_{r_{x}}} is compact byTychonoff's theorem (since each closed ballBrx =def {sK:|s|rx}{\displaystyle B_{r_{x}}~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~\{s\in \mathbb {K} :|s|\leq r_{x}\}} is aHausdorff[note 3]compact space). Because a closed subset of a compact space is compact, the proof of the proposition will be complete once it is shown thatU# =def {fX# : supuU|f(u)|1} = {fX# : f(U)B1}{\displaystyle U^{\#}~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~{\Big \{}f\in X^{\#}~:~\sup _{u\in U}|f(u)|\leq 1{\Big \}}~=~\left\{f\in X^{\#}~:~f(U)\subseteq B_{1}\right\}}is a closed subset ofxXBrx.{\textstyle \prod _{x\in X}B_{r_{x}}.} The following statements guarantee this conclusion:

  1. U#xXBrx.{\displaystyle U^{\#}\subseteq \prod _{x\in X}B_{r_{x}}.}
  2. U#{\displaystyle U^{\#}} is a closed subset of theproduct spacexXK=KX.{\displaystyle \prod _{x\in X}\mathbb {K} =\mathbb {K} ^{X}.}

Proof of (1):

For anyzX,{\displaystyle z\in X,} letPrz:xXKK{\textstyle \Pr {}_{z}:\prod _{x\in X}\mathbb {K} \to \mathbb {K} } denote the projection to thez{\displaystyle z}th coordinate (as defined above). To prove thatU#xXBrx,{\textstyle U^{\#}\subseteq \prod _{x\in X}B_{r_{x}},} it is sufficient (and necessary) to show thatPrx(U#)Brx{\displaystyle \Pr {}_{x}\left(U^{\#}\right)\subseteq B_{r_{x}}} for everyxX.{\displaystyle x\in X.} So fixxX{\displaystyle x\in X} and letfU#.{\displaystyle f\in U^{\#}.} BecausePrx(f)=f(x),{\displaystyle \Pr {}_{x}(f)\,=\,f(x),} it remains to show thatf(x)Brx.{\displaystyle f(x)\in B_{r_{x}}.} Recall thatrx>0{\displaystyle r_{x}>0} was defined in the proposition's statement as being any positive real number that satisfiesxrxU{\displaystyle x\in r_{x}U} (so for example,ru:=1{\displaystyle r_{u}:=1} would be a valid choice for eachuU{\displaystyle u\in U}), which impliesux =def 1rxxU.{\displaystyle \,u_{x}~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~{\frac {1}{r_{x}}}\,x\in U.\,} Becausef{\displaystyle f} is apositive homogeneous function that satisfiessupuU|f(u)|1,{\displaystyle \;\sup _{u\in U}|f(u)|\leq 1,\,}1rx|f(x)|=|1rxf(x)|=|f(1rxx)|=|f(ux)|supuU|f(u)|1.{\displaystyle {\frac {1}{r_{x}}}|f(x)|=\left|{\frac {1}{r_{x}}}f(x)\right|=\left|f\left({\frac {1}{r_{x}}}x\right)\right|=\left|f\left(u_{x}\right)\right|\leq \sup _{u\in U}|f(u)|\leq 1.}

Thus|f(x)|rx,{\displaystyle |f(x)|\leq r_{x},} which shows thatf(x)Brx,{\displaystyle f(x)\in B_{r_{x}},} as desired.

Proof of (2):

Thealgebraic dual spaceX#{\displaystyle X^{\#}} is always a closed subset ofKX=xXK{\textstyle \mathbb {K} ^{X}=\prod _{x\in X}\mathbb {K} } (this is proved inthe lemma below for readers who are not familiar with this result). The setUB1=def{        f KX    :supuU|f(u)|1}={        fKX    :f(u)B1 for all uU}={(fx)xXxXK :  fu B1 for all uU}=xXCx where Cx =def {B1 if xUK if xU{\displaystyle {\begin{alignedat}{9}U_{B_{1}}&\,{\stackrel {\scriptscriptstyle {\text{def}}}{=}}\,{\Big \{}~~\;~~\;~~\;~~f\ \in \mathbb {K} ^{X}~~\;~~:\sup _{u\in U}|f(u)|\leq 1{\Big \}}\\&={\big \{}~~\;~~\;~~\;~~f\,\in \mathbb {K} ^{X}~~\;~~:f(u)\in B_{1}{\text{ for all }}u\in U{\big \}}\\&={\Big \{}\left(f_{x}\right)_{x\in X}\in \prod _{x\in X}\mathbb {K} \,~:~\;~f_{u}~\in B_{1}{\text{ for all }}u\in U{\Big \}}\\&=\prod _{x\in X}C_{x}\quad {\text{ where }}\quad C_{x}~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~{\begin{cases}B_{1}&{\text{ if }}x\in U\\\mathbb {K} &{\text{ if }}x\not \in U\\\end{cases}}\\\end{alignedat}}}is closed in theproduct topology onxXK=KX{\displaystyle \prod _{x\in X}\mathbb {K} =\mathbb {K} ^{X}} since it is a product of closed subsets ofK.{\displaystyle \mathbb {K} .} ThusUB1X#=U#{\displaystyle U_{B_{1}}\cap X^{\#}=U^{\#}} is an intersection of two closed subsets ofKX,{\displaystyle \mathbb {K} ^{X},} which proves (2).[note 4]{\displaystyle \blacksquare }

The conclusion that the setUB1={fKX:f(U)B1}{\displaystyle U_{B_{1}}=\left\{f\in \mathbb {K} ^{X}:f(U)\subseteq B_{1}\right\}} is closed can also be reached by applying the following more general result, this time proved using nets, to the special caseY:=K{\displaystyle Y:=\mathbb {K} } andB:=B1.{\displaystyle B:=B_{1}.}

Observation: IfUX{\displaystyle U\subseteq X} is any set and ifBY{\displaystyle B\subseteq Y} is aclosed subset of a topological spaceY,{\displaystyle Y,} thenUB =def {fYX:f(U)B}{\displaystyle U_{B}~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~\left\{f\in Y^{X}:f(U)\subseteq B\right\}} is a closed subset ofYX{\displaystyle Y^{X}} in the topology of pointwise convergence.
Proof of observation: LetfYX{\displaystyle f\in Y^{X}} and suppose that(fi)iI{\displaystyle \left(f_{i}\right)_{i\in I}} is a net inUB{\displaystyle U_{B}} that converges pointwise tof.{\displaystyle f.} It remains to show thatfUB,{\displaystyle f\in U_{B},} which by definition meansf(U)B.{\displaystyle f(U)\subseteq B.} For anyuU,{\displaystyle u\in U,} because(fi(u))iIf(u){\displaystyle \left(f_{i}(u)\right)_{i\in I}\to f(u)} inY{\displaystyle Y} and every valuefi(u)fi(U)B{\displaystyle f_{i}(u)\in f_{i}(U)\subseteq B} belongs to the closed (inY{\displaystyle Y}) subsetB,{\displaystyle B,} so too must this net's limit belong to this closed set; thusf(u)B,{\displaystyle f(u)\in B,} which completes the proof.{\displaystyle \blacksquare }

Lemma (X#{\displaystyle X^{\#}} is closed inKX{\displaystyle \mathbb {K} ^{X}})Thealgebraic dual spaceX#{\displaystyle X^{\#}} of any vector spaceX{\displaystyle X} over a fieldK{\displaystyle \mathbb {K} } (whereK{\displaystyle \mathbb {K} } isR{\displaystyle \mathbb {R} } orC{\displaystyle \mathbb {C} }) is a closed subset ofKX=xXK{\textstyle \mathbb {K} ^{X}=\prod _{x\in X}\mathbb {K} } in the topology of pointwise convergence. (The vector spaceX{\displaystyle X} need not be endowed with any topology).

Proof of lemma

LetfKX{\displaystyle f\in \mathbb {K} ^{X}} and suppose thatf=(fi)iI{\displaystyle f_{\bullet }=\left(f_{i}\right)_{i\in I}} is a net inX#{\displaystyle X^{\#}} the converges tof{\displaystyle f} inKX.{\displaystyle \mathbb {K} ^{X}.} To conclude thatfX#,{\displaystyle f\in X^{\#},} it must be shown thatf{\displaystyle f} is a linear functional. So lets{\displaystyle s} be a scalar and letx,yX.{\displaystyle x,y\in X.}

For anyzX,{\displaystyle z\in X,} letf(z):IK{\displaystyle f_{\bullet }(z):I\to \mathbb {K} } denotef{\displaystyle f_{\bullet }}'s net of values atz{\displaystyle z}f(z) =def (fi(z))iI.{\displaystyle f_{\bullet }(z)~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~\left(f_{i}(z)\right)_{i\in I}.}Becauseff{\displaystyle f_{\bullet }\to f} inKX,{\displaystyle \mathbb {K} ^{X},} which has the topology of pointwise convergence,f(z)f(z){\displaystyle f_{\bullet }(z)\to f(z)} inK{\displaystyle \mathbb {K} } for everyzX.{\displaystyle z\in X.} By usingx,y,sx, and x+y,{\displaystyle x,y,sx,{\text{ and }}x+y,} in place ofz,{\displaystyle z,} it follows that each of the following nets of scalars converges inK:{\displaystyle \mathbb {K} :}f(x)f(x),f(y)f(y),f(x+y)f(x+y), and f(sx)f(sx).{\displaystyle f_{\bullet }(x)\to f(x),\quad f_{\bullet }(y)\to f(y),\quad f_{\bullet }(x+y)\to f(x+y),\quad {\text{ and }}\quad f_{\bullet }(sx)\to f(sx).}


Proof thatf(sx)=sf(x):{\displaystyle f(sx)=sf(x):} LetM:KK{\displaystyle M:\mathbb {K} \to \mathbb {K} } be the "multiplication bys{\displaystyle s}" map defined byM(c) =def sc.{\displaystyle M(c)~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~sc.} BecauseM{\displaystyle M} is continuous andf(x)f(x){\displaystyle f_{\bullet }(x)\to f(x)} inK,{\displaystyle \mathbb {K} ,} it follows thatM(f(x))M(f(x)){\displaystyle M\left(f_{\bullet }(x)\right)\to M(f(x))} where the right hand side isM(f(x))=sf(x){\displaystyle M(f(x))=sf(x)} and the left hand side isM(f(x))=def Mf(x) by definition of notation = (M(fi(x)))iI    because f(x)=(fi(x))iI:IK= (sfi(x))iIM(fi(x)) =def sfi(x)= (fi(sx))iI by linearity of fi= f(sx) notation {\displaystyle {\begin{alignedat}{4}M\left(f_{\bullet }(x)\right){\stackrel {\scriptscriptstyle {\text{def}}}{=}}&~M\circ f_{\bullet }(x)&&{\text{ by definition of notation }}\\=&~\left(M\left(f_{i}(x)\right)\right)_{i\in I}~~~&&{\text{ because }}f_{\bullet }(x)=\left(f_{i}(x)\right)_{i\in I}:I\to \mathbb {K} \\=&~\left(sf_{i}(x)\right)_{i\in I}&&M\left(f_{i}(x)\right)~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~sf_{i}(x)\\=&~\left(f_{i}(sx)\right)_{i\in I}&&{\text{ by linearity of }}f_{i}\\=&~f_{\bullet }(sx)&&{\text{ notation }}\end{alignedat}}}which proves thatf(sx)sf(x).{\displaystyle f_{\bullet }(sx)\to sf(x).} Because alsof(sx)f(sx){\displaystyle f_{\bullet }(sx)\to f(sx)} and limits inK{\displaystyle \mathbb {K} } are unique, it follows thatsf(x)=f(sx),{\displaystyle sf(x)=f(sx),} as desired.


Proof thatf(x+y)=f(x)+f(y):{\displaystyle f(x+y)=f(x)+f(y):} Define a netz=(zi)iI:IK×K{\displaystyle z_{\bullet }=\left(z_{i}\right)_{i\in I}:I\to \mathbb {K} \times \mathbb {K} } by lettingzi =def (fi(x),fi(y)){\displaystyle z_{i}~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~\left(f_{i}(x),f_{i}(y)\right)} for everyiI.{\displaystyle i\in I.} Becausef(x)=(fi(x))iIf(x){\displaystyle f_{\bullet }(x)=\left(f_{i}(x)\right)_{i\in I}\to f(x)} andf(y)=(fi(y))iIf(y),{\displaystyle f_{\bullet }(y)=\left(f_{i}(y)\right)_{i\in I}\to f(y),} it follows thatz(f(x),f(y)){\displaystyle z_{\bullet }\to (f(x),f(y))} inK×K.{\displaystyle \mathbb {K} \times \mathbb {K} .} LetA:K×KK{\displaystyle A:\mathbb {K} \times \mathbb {K} \to \mathbb {K} } be the addition map defined byA(x,y) =def x+y.{\displaystyle A(x,y)~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~x+y.} The continuity ofA{\displaystyle A} implies thatA(z)A(f(x),f(y)){\displaystyle A\left(z_{\bullet }\right)\to A(f(x),f(y))} inK{\displaystyle \mathbb {K} } where the right hand side isA(f(x),f(y))=f(x)+f(y){\displaystyle A(f(x),f(y))=f(x)+f(y)} and the left hand side isA(z) =def Az=(A(zi))iI=(A(fi(x),fi(y)))iI=(fi(x)+fi(y))iI=(fi(x+y))iI=f(x+y){\displaystyle A\left(z_{\bullet }\right)~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~A\circ z_{\bullet }=\left(A\left(z_{i}\right)\right)_{i\in I}=\left(A\left(f_{i}(x),f_{i}(y)\right)\right)_{i\in I}=\left(f_{i}(x)+f_{i}(y)\right)_{i\in I}=\left(f_{i}(x+y)\right)_{i\in I}=f_{\bullet }(x+y)}which proves thatf(x+y)f(x)+f(y).{\displaystyle f_{\bullet }(x+y)\to f(x)+f(y).} Because alsof(x+y)f(x+y),{\displaystyle f_{\bullet }(x+y)\to f(x+y),} it follows thatf(x+y)=f(x)+f(y),{\displaystyle f(x+y)=f(x)+f(y),} as desired.{\displaystyle \blacksquare }

The lemma above actually also follows from its corollary below sincexXK{\displaystyle \prod _{x\in X}\mathbb {K} } is a Hausdorffcomplete uniform space and any subset of such a space (in particularX#{\displaystyle X^{\#}}) is closed if and only if it is complete.

Corollary to lemma (X#{\displaystyle X^{\#}} is weak-* complete)When thealgebraic dual spaceX#{\displaystyle X^{\#}} of a vector spaceX{\displaystyle X} is equipped with the topologyσ(X#,X){\displaystyle \sigma \left(X^{\#},X\right)} of pointwise convergence (also known as the weak-* topology) then the resultingtopological space(X#,σ(X#,X)){\displaystyle \left(X^{\#},\sigma \left(X^{\#},X\right)\right)} is acompleteHausdorfflocally convextopological vector space.

Proof of corollary to lemma

Because the underlying fieldK{\displaystyle \mathbb {K} } is a complete Hausdorff locally convex topological vector space, the same is true of theproduct spaceKX=xXK.{\textstyle \mathbb {K} ^{X}=\prod _{x\in X}\mathbb {K} .} A closed subset of a complete space is complete, so by the lemma, the space(X#,σ(X#,X)){\displaystyle \left(X^{\#},\sigma \left(X^{\#},X\right)\right)} is complete.{\displaystyle \blacksquare }


The above elementary proof of the Banach–Alaoglu theorem actually shows that ifUX{\displaystyle U\subseteq X} is any subset that satisfiesX=(0,)U =def {ru:r>0,uU}{\displaystyle X=(0,\infty )U~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~\{ru:r>0,u\in U\}} (such as anyabsorbing subset ofX{\displaystyle X}), thenU# =def {fX#:f(U)B1}{\displaystyle U^{\#}~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~\left\{f\in X^{\#}:f(U)\subseteq B_{1}\right\}} is aweak-* compact subset ofX#.{\displaystyle X^{\#}.}

As a side note, with the help of the above elementary proof, it may be shown (see this footnote)[proof 1] that there existX{\displaystyle X}-indexed non-negative real numbersm=(mx)xX{\displaystyle m_{\bullet }=\left(m_{x}\right)_{x\in X}} such thatU=U#=X#xXBmx=XxXBmx{\displaystyle {\begin{alignedat}{4}U^{\circ }&=U^{\#}&&\\&=X^{\#}&&\cap \prod _{x\in X}B_{m_{x}}\\&=X^{\prime }&&\cap \prod _{x\in X}B_{m_{x}}\\\end{alignedat}}}where these real numbersm{\displaystyle m_{\bullet }} can also be chosen to be "minimal" in the following sense: usingP =def U{\displaystyle P~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~U^{\circ }} (soP=U#{\displaystyle P=U^{\#}} as in the proof) and defining the notationBR =def xXBRx{\displaystyle \prod B_{R_{\bullet }}~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~\prod _{x\in X}B_{R_{x}}} for anyR=(Rx)xXRX,{\displaystyle R_{\bullet }=\left(R_{x}\right)_{x\in X}\in \mathbb {R} ^{X},} ifTP =def {RRX : PBR}{\displaystyle T_{P}~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~\left\{R_{\bullet }\in \mathbb {R} ^{X}~:~P\subseteq \prod B_{R_{\bullet }}\right\}} thenmTP{\displaystyle m_{\bullet }\in T_{P}} and for everyxX,{\displaystyle x\in X,}mx=inf{Rx:RTP},{\displaystyle m_{x}=\inf \left\{R_{x}:R_{\bullet }\in T_{P}\right\},} which shows that these numbersm{\displaystyle m_{\bullet }} are unique; indeed, thisinfimum formula can be used to define them.

In fact, ifBoxP{\displaystyle \operatorname {Box} _{P}} denotes the set of all such products of closed balls containing the polar setP,{\displaystyle P,}BoxP =def {BR : RTP} = {BR : PBR},{\displaystyle \operatorname {Box} _{P}~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~\left\{\prod B_{R_{\bullet }}~:~R_{\bullet }\in T_{P}\right\}~=~\left\{\prod B_{R_{\bullet }}~:~P\subseteq \prod B_{R_{\bullet }}\right\},} thenBm=BoxPBoxP{\textstyle \prod B_{m_{\bullet }}=\cap \operatorname {Box} _{P}\in \operatorname {Box} _{P}} whereBoxP{\textstyle \bigcap \operatorname {Box} _{P}} denotes the intersection of all sets belonging toBoxP.{\displaystyle \operatorname {Box} _{P}.}

This implies (among other things[note 5]) thatBm=xXBmx{\textstyle \prod B_{m_{\bullet }}=\prod _{x\in X}B_{m_{x}}} the uniqueleast element ofBoxP{\displaystyle \operatorname {Box} _{P}} with respect to;{\displaystyle \,\subseteq ;} this may be used as an alternative definition of this (necessarilyconvex andbalanced) set. The functionm =def (mx)xX:X[0,){\displaystyle m_{\bullet }~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~\left(m_{x}\right)_{x\in X}:X\to [0,\infty )} is aseminorm and it is unchanged ifU{\displaystyle U} is replaced by theconvex balanced hull ofU{\displaystyle U} (becauseU#=[cobalU]#{\displaystyle U^{\#}=[\operatorname {cobal} U]^{\#}}). Similarly, becauseU=[clXU],{\displaystyle U^{\circ }=\left[\operatorname {cl} _{X}U\right]^{\circ },}m{\displaystyle m_{\bullet }} is also unchanged ifU{\displaystyle U} is replaced by itsclosure inX.{\displaystyle X.}

Sequential Banach–Alaoglu theorem

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A special case of the Banach–Alaoglu theorem is the sequential version of the theorem, which asserts that the closed unit ball of the dual space of aseparable normed vector space issequentially compact in the weak-* topology. In fact, the weak* topology on the closed unit ball of the dual of a separable space ismetrizable, and thus compactness and sequential compactness are equivalent.

Specifically, letX{\displaystyle X} be a separable normed space andB{\displaystyle B} the closed unit ball inX.{\displaystyle X^{\prime }.} SinceX{\displaystyle X} is separable, letx=(xn)n=1{\displaystyle x_{\bullet }=\left(x_{n}\right)_{n=1}^{\infty }} be a countable dense subset. Then the following defines a metric, where for anyx,yB{\displaystyle x,y\in B}ρ(x,y)=n=12n|xy,xn|1+|xy,xn|{\displaystyle \rho (x,y)=\sum _{n=1}^{\infty }\,2^{-n}\,{\frac {\left|\langle x-y,x_{n}\rangle \right|}{1+\left|\langle x-y,x_{n}\rangle \right|}}}in which,{\displaystyle \langle \cdot ,\cdot \rangle } denotes the duality pairing ofX{\displaystyle X^{\prime }} withX.{\displaystyle X.} Sequential compactness ofB{\displaystyle B} in this metric can be shown by adiagonalization argument similar to the one employed in the proof of theArzelà–Ascoli theorem.

Due to the constructive nature of its proof (as opposed to the general case, which is based on the axiom of choice), the sequential Banach–Alaoglu theorem is often used in the field ofpartial differential equations to construct solutions to PDE orvariational problems. For instance, if one wants to minimize a functionalF:XR{\displaystyle F:X^{\prime }\to \mathbb {R} } on the dual of a separable normed vector spaceX,{\displaystyle X,} one common strategy is to first construct a minimizing sequencex1,x2,X{\displaystyle x_{1},x_{2},\ldots \in X^{\prime }} which approaches the infimum ofF,{\displaystyle F,} use the sequential Banach–Alaoglu theorem to extract a subsequence that converges in the weak* topology to a limitx,{\displaystyle x,} and then establish thatx{\displaystyle x} is a minimizer ofF.{\displaystyle F.} The last step often requiresF{\displaystyle F} to obey a (sequential)lower semi-continuity property in the weak* topology.

WhenX{\displaystyle X^{\prime }} is the space of finite Radon measures on the real line (so thatX=C0(R){\displaystyle X=C_{0}(\mathbb {R} )} is the space of continuous functions vanishing at infinity, by theRiesz representation theorem), the sequential Banach–Alaoglu theorem is equivalent to theHelly selection theorem.

Proof

For everyxX,{\displaystyle x\in X,} letDx={cC:|c|x}{\displaystyle D_{x}=\{c\in \mathbb {C} :|c|\leq \|x\|\}}and letD=xXDx{\displaystyle D=\prod _{x\in X}D_{x}}be endowed with theproduct topology. Because everyDx{\displaystyle D_{x}} is a compact subset of the complex plane,Tychonoff's theorem guarantees that their productD{\displaystyle D} is compact.

The closed unit ball inX,{\displaystyle X^{\prime },} denoted byB1,{\displaystyle B_{1}^{\,\prime },} can be identified as a subset ofD{\displaystyle D} in a natural way:F:B1Df(f(x))xX.{\displaystyle {\begin{alignedat}{4}F:\;&&B_{1}^{\,\prime }&&\;\to \;&D\\[0.3ex]&&f&&\;\mapsto \;&(f(x))_{x\in X}.\\\end{alignedat}}}

This map is injective and it is continuous whenB1{\displaystyle B_{1}^{\,\prime }} has theweak-* topology. This map's inverse, defined on its image, is also continuous.

It will now be shown that the image of the above map is closed, which will complete the proof of the theorem. Given a pointλ=(λx)xXD{\displaystyle \lambda _{\bullet }=\left(\lambda _{x}\right)_{x\in X}\in D} and a net(fi(x))xX{\displaystyle \left(f_{i}(x)\right)_{x\in X}} in the image ofF{\displaystyle F} indexed byiI{\displaystyle i\in I} such thatlimi(fi(x))xXλ in D,{\displaystyle \lim _{i}\left(f_{i}(x)\right)_{x\in X}\to \lambda _{\bullet }\quad {\text{ in }}D,}the functionalg:XC{\displaystyle g:X\to \mathbb {C} } defined byg(x)=λx for every xX,{\displaystyle g(x)=\lambda _{x}\qquad {\text{ for every }}x\in X,}lies inB1{\displaystyle B_{1}^{\,\prime }} andF(g)=λ.{\displaystyle F(g)=\lambda _{\bullet }.}{\displaystyle \blacksquare }

Consequences

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Consequences for normed spaces

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Assume thatX{\displaystyle X} is anormed space and endow its continuous dual spaceX{\displaystyle X^{\prime }} with the usualdual norm.

Consequences for Hilbert spaces

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  • In a Hilbert space, every bounded and closed set is weakly relatively compact, hence every bounded net has a weakly convergent subnet (Hilbert spaces arereflexive).
  • As norm-closed, convex sets are weakly closed (Hahn–Banach theorem), norm-closures of convex bounded sets in Hilbert spaces or reflexive Banach spaces are weakly compact.
  • Closed and bounded sets inB(H){\displaystyle B(H)} are precompact with respect to theweak operator topology (the weak operator topology is weaker than theultraweak topology which is in turn the weak-* topology with respect to the predual ofB(H),{\displaystyle B(H),} thetrace class operators). Hence bounded sequences of operators have a weak accumulation point. As a consequence,B(H){\displaystyle B(H)} has theHeine–Borel property, if equipped with either the weak operator or the ultraweak topology.

Relation to the axiom of choice and other statements

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See also:Krein–Milman theorem § Relation to other statements

The Banach–Alaoglu may be proven by usingTychonoff's theorem, which under theZermelo–Fraenkel set theory (ZF) axiomatic framework is equivalent to theaxiom of choice. Most mainstream functional analysis relies onZF + the axiom of choice, which is often denoted byZFC. However, the theorem doesnot rely upon the axiom of choice in theseparable case (seeabove): in this case there actually exists a constructive proof. In the general case of an arbitrary normed space, theultrafilter Lemma, which is strictly weaker than the axiom of choice and equivalent to Tychonoff's theorem for compactHausdorff spaces, suffices for the proof of the Banach–Alaoglu theorem, and is in fact equivalent to it.

The Banach–Alaoglu theorem is equivalent to theultrafilter lemma, which implies theHahn–Banach theorem forreal vector spaces (HB) but is not equivalent to it (said differently, Banach–Alaoglu is also strictly stronger thanHB). However, theHahn–Banach theorem is equivalent to the following weak version of the Banach–Alaoglu theorem for normed space[6] in which the conclusion of compactness (in theweak-* topology of the closed unit ball of the dual space) is replaced with the conclusion ofquasicompactness (also sometimes calledconvex compactness);

Weak version of Alaoglu theorem[6]LetX{\displaystyle X} be a normed space and letB{\displaystyle B} denote the closed unit ball of itscontinuous dual spaceX.{\displaystyle X^{\prime }.} ThenB{\displaystyle B} has the following property, which is called (weak-*)quasicompactness orconvex compactness: wheneverC{\displaystyle {\mathcal {C}}} is a cover ofB{\displaystyle B} byconvexweak-* closed subsets ofX{\displaystyle X^{\prime }} such that{BC:CC}{\displaystyle \{B\cap C:C\in {\mathcal {C}}\}} has thefinite intersection property, thenBCCC{\displaystyle B\cap \bigcap _{C\in {\mathcal {C}}}C} is not empty.

Compactness impliesconvex compactness because a topological space is compact if and only if everyfamily of closed subsets having thefinite intersection property (FIP) has non-empty intersection. Thedefinition of convex compactness is similar to this characterization ofcompact spaces in terms of the FIP, except that it only involves those closed subsets that are alsoconvex (rather than all closed subsets).

See also

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Notes

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  1. ^Explicitly, a subsetBX{\displaystyle B^{\prime }\subseteq X^{\prime }} is said to be "compact (resp. totally bounded, etc.) in the weak-* topology" if whenX{\displaystyle X^{\prime }} is given theweak-* topology and the subsetB{\displaystyle B^{\prime }} is given thesubspace topology inherited from(X,σ(X,X)),{\displaystyle \left(X^{\prime },\sigma \left(X^{\prime },X\right)\right),} thenB{\displaystyle B^{\prime }} is acompact (resp.totally bounded, etc.) space.
  2. ^Ifτ{\displaystyle \tau } denotes the topology thatX{\displaystyle X} is (originally) endowed with, then the equalityU=U#{\displaystyle U^{\circ }=U^{\#}} shows that the polarU={fX : supuU|f(u)|1}{\displaystyle U^{\circ }={\Big \{}f\in X^{\prime }~:~\sup _{u\in U}|f(u)|\leq 1{\Big \}}} ofU{\displaystyle U} is dependentonly onU{\displaystyle U} (andX#{\displaystyle X^{\#}}) and that the rest of the topologyτ{\displaystyle \tau } can be ignored. To clarify what is meant, supposeσ{\displaystyle \sigma } is any TVS topology onX{\displaystyle X} such that the setU{\displaystyle U} is (also) a neighborhood of the origin in(X,σ).{\displaystyle (X,\sigma ).} Denote the continuous dual space of(X,σ){\displaystyle (X,\sigma )} by(X,σ){\displaystyle (X,\sigma )^{\prime }} and denote the polar ofU{\displaystyle U} with respect to(X,σ){\displaystyle (X,\sigma )} byU,σ =def {f(X,σ) : supuU|f(u)|1}{\displaystyle U^{\circ ,\sigma }~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~{\Big \{}f\in (X,\sigma )^{\prime }~:~\sup _{u\in U}|f(u)|\leq 1{\Big \}}}so thatU,τ{\displaystyle U^{\circ ,\tau }} is just the setU{\displaystyle U^{\circ }} from above. ThenU,τ=U,σ{\displaystyle U^{\circ ,\tau }=U^{\circ ,\sigma }} because both of these sets are equal toU#.{\displaystyle U^{\#}.} Said differently, the polar setU,σ{\displaystyle U^{\circ ,\sigma }}'s defining "requirement" thatU,σ{\displaystyle U^{\circ ,\sigma }} be a subset of thecontinuous dual space(X,σ){\displaystyle (X,\sigma )^{\prime }} is inconsequential and can be ignored because it does not have any effect on the resulting set of linear functionals. However, ifν{\displaystyle \nu } is a TVS topology onX{\displaystyle X} such thatU{\displaystyle U} isnot a neighborhood of the origin in(X,ν){\displaystyle (X,\nu )} then the polarU,ν{\displaystyle U^{\circ ,\nu }} ofU{\displaystyle U} with respect to(X,ν){\displaystyle (X,\nu )} is not guaranteed to equalU#{\displaystyle U^{\#}} and so the topologyν{\displaystyle \nu } can not be ignored.
  3. ^Because everyBrx{\displaystyle B_{r_{x}}} is also aHausdorff space, the conclusion thatxXBrx{\displaystyle \prod _{x\in X}B_{r_{x}}} is compact only requires the so-called "Tychonoff's theorem for compact Hausdorff spaces," which is equivalent to theultrafilter lemma and strictly weaker than theaxiom of choice.
  4. ^The conclusionUB1=xXCx{\displaystyle U_{B_{1}}=\prod _{x\in X}C_{x}} can be written asUB1 = (uUB1)×xXUK.{\displaystyle U_{B_{1}}~=~{\Big (}\prod _{u\in U}B_{1}{\Big )}\times \prod _{x\in X\setminus U}\mathbb {K} .} The setU#{\displaystyle U^{\#}} may thus equivalently be defined byU# =def X#[(uUB1)×xXUK].{\displaystyle U^{\#}~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~X^{\#}\cap \left[{\Big (}\prod _{u\in U}B_{1}{\Big )}\times \prod _{x\in X\setminus U}\mathbb {K} \right].} Rewriting the definition in this way helps make it apparent that the setU#{\displaystyle U^{\#}} is closed inxXK{\displaystyle \prod _{x\in X}\mathbb {K} } becausethis is true ofX#.{\displaystyle X^{\#}.}
  5. ^This tuplem =def (mx)xX{\displaystyle m_{\bullet }~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~\left(m_{x}\right)_{x\in X}} is theleast element ofTP{\displaystyle T_{P}} with respect to natural induced pointwisepartial order defined byRS{\displaystyle R_{\bullet }\leq S_{\bullet }} if and only ifRxSx{\displaystyle R_{x}\leq S_{x}} for everyxX.{\displaystyle x\in X.} Thus, every neighborhoodU{\displaystyle U} of the origin inX{\displaystyle X} can be associated with this unique (minimum) functionm:X[0,).{\displaystyle m_{\bullet }:X\to [0,\infty ).} For anyxX,{\displaystyle x\in X,} ifr>0{\displaystyle r>0} is such thatxrU{\displaystyle x\in rU} thenmxr{\displaystyle m_{x}\leq r} so that in particular,m0=0{\displaystyle m_{0}=0} andmu1{\displaystyle m_{u}\leq 1} for everyuU.{\displaystyle u\in U.}

Proofs

  1. ^For any non-empty subsetA[0,),{\displaystyle A\subseteq [0,\infty ),} the equality{Ba:aA}=BinfA{\displaystyle \cap \left\{B_{a}:a\in A\right\}=B_{\inf _{}A}} holds (the intersection on the left is a closed, rather than open, disk − possibly of radius0{\displaystyle 0} − because it is an intersection of closed subsets ofK{\displaystyle \mathbb {K} } and so must itself be closed). For everyxX,{\displaystyle x\in X,} letmx=inf{Rx:RTP}{\displaystyle m_{x}=\inf _{}\left\{R_{x}:R_{\bullet }\in T_{P}\right\}} so that the previous set equality impliesBoxP=RTPxXBRx=xXRTPBRx=xXBmx.{\displaystyle \cap \operatorname {Box} _{P}=\bigcap _{R_{\bullet }\in T_{P}}\prod _{x\in X}B_{R_{x}}=\prod _{x\in X}\bigcap _{R_{\bullet }\in T_{P}}B_{R_{x}}=\prod _{x\in X}B_{m_{x}}.} FromPBoxP{\displaystyle P\subseteq \cap \operatorname {Box} _{P}} it follows thatmTP{\displaystyle m_{\bullet }\in T_{P}} andBoxPBoxP,{\displaystyle \cap \operatorname {Box} _{P}\in \operatorname {Box} _{P},} thereby makingBoxP{\displaystyle \cap \operatorname {Box} _{P}} theleast element ofBoxP{\displaystyle \operatorname {Box} _{P}} with respect to.{\displaystyle \,\subseteq .\,} (In fact, thefamilyBoxP{\displaystyle \operatorname {Box} _{P}} is closed under (non-nullary) arbitrary intersections and also under finite unions of at least one set). The elementary proof showed thatTP{\displaystyle T_{P}} andBoxP{\displaystyle \operatorname {Box} _{P}} are not empty and moreover, it also even showed thatTP{\displaystyle T_{P}} has an element(rx)xX{\displaystyle \left(r_{x}\right)_{x\in X}} that satisfiesru=1{\displaystyle r_{u}=1} for everyuU,{\displaystyle u\in U,} which implies thatmu1{\displaystyle m_{u}\leq 1} for everyuU.{\displaystyle u\in U.} The inclusionP  (BoxP)X  (BoxP)X#{\displaystyle P~\subseteq ~\left(\cap \operatorname {Box} _{P}\right)\cap X^{\prime }~\subseteq ~\left(\cap \operatorname {Box} _{P}\right)\cap X^{\#}} is immediate; to prove the reverse inclusion, letf(BoxP)X#.{\displaystyle f\in \left(\cap \operatorname {Box} _{P}\right)\cap X^{\#}.} By definition,fP =def U#{\displaystyle f\in P~{\stackrel {\scriptscriptstyle {\text{def}}}{=}}~U^{\#}} if and only ifsupuU|f(u)|1,{\displaystyle \sup _{u\in U}|f(u)|\leq 1,} so letuU{\displaystyle u\in U} and it remains to show that|f(u)|1.{\displaystyle |f(u)|\leq 1.} FromfBoxP=Bm,{\displaystyle f\in \cap \operatorname {Box} _{P}=\prod B_{m_{\bullet }},} it follows thatf(u)=Pru(f)Pru(xXBmx)=Bmu,{\displaystyle f(u)=\Pr {}_{u}(f)\in \Pr {}_{u}\left(\prod _{x\in X}B_{m_{x}}\right)=B_{m_{u}},} which implies that|f(u)|mu1,{\displaystyle |f(u)|\leq m_{u}\leq 1,} as desired.{\displaystyle \blacksquare }

Citations

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  1. ^Rudin 1991, Theorem 3.15.
  2. ^abcNarici & Beckenstein 2011, pp. 235–240.
  3. ^abcdefNarici & Beckenstein 2011, pp. 225–273.
  4. ^Köthe 1983, Theorem (4) in §20.9.
  5. ^Meise & Vogt 1997, Theorem 23.5.
  6. ^abBell, J.; Fremlin, David (1972)."A Geometric Form of the Axiom of Choice"(PDF).Fundamenta Mathematicae.77 (2):167–170.doi:10.4064/fm-77-2-167-170. Retrieved26 Dec 2021.

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