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R E S E A R C H Open Access

Brouwer fixed point theorem in (L ) d

Samuel Drapeau1, Martin Karliczek1, Michael Kupper2*and Martin Streckfuß1

*Correspondence:

kupper@uni-konstanz.de

2Universität Konstanz, Universitätsstraße 10, Konstanz, 78464, Germany

Full list of author information is available at the end of the article

Abstract

The classical Brouwer fixed point theorem states that inRdevery continuous function from a convex, compact set on itself has a fixed point. For an arbitrary probability space, letL0=L0(,A,P) be the set of random variables. We consider (L0)das an L0-module and show that local, sequentially continuous functions onL0-convex, closed and bounded subsets have a fixed point which is measurable by construction.

MSC: 47H10; 13C13; 46A19; 60H25

Keywords: conditional simplex; fixed points in (L0)d

Introduction

The Brouwer fixed point theorem states that a continuous function from a compact and convex set inRdto itself has a fixed point. This result and its extensions play a central role in analysis, optimization and economic theory among others. To show the result, one approach is to consider functions on simplexes first and use Sperner’s lemma.

Recently, Cheriditoet al.[], inspired by the theory developed by Filipovićet al.[] and Guo [], studied (L)d as anL-module, discussing concepts like linear independence, σ-stability, locality andL-convexity. Based on this, we define affine independence and conditional simplexes in (L)d. Showing first a result similar to Sperner’s lemma, we ob- tain a fixed point for local, sequentially continuous functions on conditional simplexes.

From the measurable structure of the problem, it turns out that we have to work with local, measurable labeling functions. To cope with this difficulty and to maintain some uniform properties, we subdivide the conditional simplex barycentrically. We then prove the existence of a measurable completely labeled conditional simplex, contained in the original one, which turns out to be a suitableσ-combination of elements of the barycen- tric subdivision along a partition of. Thus, we can construct a sequence of conditional simplexes converging to a point. By applying always the same rule of labeling using the lo- cality of the function, we show that this point is a fixed point. Due to the measurability of the labeling function, the fixed point is measurable by construction. Hence, even though we follow the constructions and methods used in the proof of the classical result inRd(cf.

[]), we do not need any measurable selection argument.

In probabilistic analysis theory, the problem of finding random fixed points of random operators is an important issue. GivenC, a compact convex set of a Banach space, a con- tinuous random operator is a functionR:×CCsatisfying

(i) R(·,x) :Cis a random variable for any fixedxC, (ii) R(ω,·) :CCis a continuous function for any fixedω.

ForRthere exists a random fixed point which is a random variableξ :Csuch that ξ(ω) =R(ω,ξ(ω)) for anyω(cf.[–]). In contrast to thisω-wise consideration, our ap-

©2013Drapeau et al.; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Konstanzer Online-Publikations-System (KOPS) URL: http://nbn-resolving.de/urn:nbn:de:bsz:352-270224

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proach is completely within the theory ofL. All objects and properties are therefore de- fined in that language and proofs are done withL-methods. Moreover, the connection between continuous random operators onRdand sequentially continuous functions on (L)dis not entirely clear.

An application, though not studied in this paper, is for instance possible in economic theory or optimization in the context of []. Therein the methods from convex analy- sis are used to obtain equilibrium results for translation invariant utility functionals on (L)d. Without translation invariance, these methods fail and will be replaced by fixed point arguments in an ongoing work. Thus, our result is helpful to develop the theory of non-translation invariant preference functionals mapping toL.

The present paper is organized as follows. In the first section, we present the basic con- cepts concerning (L)das anL-module. We define conditional simplexes and examine their basic properties. In the second section, we define measurable labeling functions and show the Brouwer fixed point theorem for conditional simplexes via a construction in the spirit of Sperner’s lemma. In the third section, we show a fixed point result forL-convex, bounded and sequentially closed sets in (L)d. With this result at hand, we present the topological implications known from the real-valued case. On the one hand, we show the impossibility of contracting a ball to a sphere in (L)dand, on the other hand, an interme- diate value theorem inL.

1 Conditional simplex

For a probability space (,A,P), letL=L(,A,P) be the space of allA-measurable random variables, whereP-almost surely equal random variables are identified. In partic- ular, forX,YL, the relationsXYandX>Yhave to be understoodP-almost surely.

The setLwith theP-almost everywhere order is a lattice ordered ring, and for a non- empty subsetCL, we denote the least upper bound byess supCand the greatest lower bound byess infC, respectively (cf.[]). Form∈R, we denote the constant random vari- ablembym. Further, we define the setsL+={XL:X≥},L++={XL:X> } andA+={A∈A:P(A) > }. The set of random variables with values in a setM⊆Ris de- noted byM(A). For example,{, . . . ,r}(A) is the set ofA-measurable functions with values in{, . . . ,r} ⊆N, [, ](A) ={ZL: ≤Z≤}and (, )(A) ={ZL:  <Z< }.

Theconvex hullofX, . . . ,XN∈(L)d,N∈N, is defined as

conv(X, . . . ,XN) = N

i=

λiXi:λiL+, N

i=

λi= 

.

An elementY=N

i=λiXisuch thatλi>  for alliI⊆ {, . . . ,N}is called astrict convex combination of{Xi:iI}. Moreover, a setC⊆(L)d is said to beL-convexif for any X,YCandλ∈[, ](A), it holds thatλX+ ( –λ)YC.

Theσ-stable hullof a setC⊆(L)dis defined as σ(C) =

i∈N

AiXi:XiC, (Ai)i∈Nis apartition

,

where a partition is a countable family (Ai)i∈NAsuch thatP(AiAj) =  fori=jand P(

i∈NAi) = . We call a non-empty setC σ-stableif it is equal toσ(C). For aσ-stable

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setC⊆(L)d, a functionf :C→(L)dis calledlocaliff(

i∈NAiXi) =

i∈NAif(Xi) for every partition (Ai)i∈N andXiC,i∈N. ForX,Y⊆(L)d, we call a functionf :XY sequentially continuousif for every sequence (Xn)n∈NinXconverging toXXP-almost- surely, it holds thatf(Xn) converges tof(X)P-almost surely. Further, theL-scalar product andL-normon (L)dare defined as

X,Y= d

i=

XiYi and X= X,X.

We callC⊆(L)dboundedifess supX∈CXLandsequentially closedif it contains all P-almost sure limits of sequences inC. Further, the diameter ofC⊆(L)dis defined as diam(C) =ess supX,Y∈CX–Y.

Definition . ElementsX, . . . ,XN of (L)d,N∈N, are said to beaffinely independent, if eitherN=  orN>  and{XiXN}N–i= arelinearly independent, that is,

N–

i=

λi(XiXN) =  implies λ=· · ·=λN–= , (.)

whereλ, . . . ,λN–L.

The definition of affine independence is equivalent to N

i=

λiXi=  and N

i=

λi=  implies λ=· · ·=λN= . (.)

Indeed, first we show that (.) implies (.). Let N

i=λiXi=  andN

i=λi= . Then N–

i= λi(XiXN) =λNXN +N–

i= λiXi= . By assumption (.), it holds thatλ=· · ·= λN–= , thus alsoλN= . To see that (.) implies (.), letN–

i= λi(XiXN) = . With λN = –N–

i= λi, it holds thatN

i=λiXi=λNXN+N–

i= λiXi=N–

i= λi(XiXN) = . By assumption (.),λ=· · ·=λN= .

Remark . We observe that if (Xi)Ni= ⊆(L)d are affinely independent, then (λXi)Ni=

forλL++ and (Xi+Y)Ni= forY ∈(L)d are affinely independent. Moreover, if a fam- ilyX, . . . ,XN is affinely independent, then also BX, . . . , BXNare affinely independent on BA+, which means fromN

i=BλiXi=  andN

i=Bλi=  it always follows that Bλi=  for alli= , . . . ,N.

Definition . Aconditional simplexin (L)dis a set of the form S=conv(X, . . . ,XN)

such thatX, . . . ,XN∈(L)dare affinely independent. We callN∈Nthe dimension ofS.

Remark . In a conditional simplexS=conv(X, . . . ,XN), the coefficients of convex com- binations are unique in the sense that ifN

i=λi=N

i=μi= , then N

i=

λiXi= N

i=

μiXi implies λi=μi for alli= , . . . ,N. (.)

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Indeed, sinceN

i=iμi)Xi=  andN

i=iμi) = , it follows from (.) thatλiμi=  for alli= , . . . ,N.

Remark . Note that the present setting -L-modules and the sequentialP-almost sure convergence - is of local nature. This is, for instance, not the case for subsets ofLpor the convergence in theLp-norm for ≤p<∞. First,Lp is not closed under multiplication and hence neither a ring nor a module over itself, so that we cannot even speak about affine independence. Second, it is in general not aσ-stable subspace ofL. However, for a conditional simplexS=conv(X, . . . ,XN) in (L)dsuch that anyXk is in (Lp)d, it holds thatSis uniformly bounded byNsupk=,...,NXkLp. This uniform boundedness yields that anyP-almost sure converging sequence inS is also converging in theLp-norm for

≤p<∞due to the dominated convergence theorem. This shows how one can translate results fromLtoLp.

Since a conditional simplex is a convex hull, it is in particularσ-stable. In contrast to a simplex inRd, the representation ofSas a convex hull of affinely independent elements is unique but up toσ-stability.

Proposition . Let(Xi)Ni=and(Yi)Ni=be families in(L)dwithσ(X, . . . ,XN) =σ(Y, . . . , YN).Thenconv(X, . . . ,XN) =conv(Y, . . . ,YN).Moreover, (Xi)Ni=are affinely independent if and only if(Yi)Ni=are affinely independent.

IfS is a conditional simplex such thatS=conv(X, . . . ,XN) =conv(Y, . . . ,YN),then it holds thatσ(X, . . . ,XN) =σ(Y, . . . ,YN).

Proof Supposeσ(X, . . . ,XN) =σ(Y, . . . ,YN). Fori= , . . . ,N, it holds that Xiσ(X, . . . ,XN) =σ(Y, . . . ,YN)⊆conv(Y, . . . ,YN).

Therefore, conv(X, . . . ,XN)⊆ conv(Y, . . . ,YN) and the reverse inclusion holds analo- gously.

Now, let (Xi)Ni= be affinely independent andσ(X, . . . ,XN) =σ(Y, . . . ,YN). We want to show that (Yi)Ni=are affinely independent. To that end, we define the affine hull

aff(X, . . . ,XN) = N

i=

λiXi:λiL, N

i=

λi= 

.

First, let Z, . . . ,ZM ∈(L)d,M∈N, such thatσ(X, . . . ,XN) =σ(Z, . . . ,ZM). We show that if Aaff(X, . . . ,XN)⊆Aaff(Z, . . . ,ZM) forAA+andX, . . . ,XN are affinely inde- pendent, thenMN. SinceXiσ(X, . . . ,XN) =σ(Z, . . . ,ZM)⊆aff(Z, . . . ,ZM), we have aff(X, . . . ,XN)⊆aff(Z, . . . ,ZM). Further, it holds thatX=M

i=B

iZifor a partition (Bi)Mi=

and hence there exists at least oneBksuch thatAk:=BkAA+, and A

k

X= A

k

Zk. Therefore,

A

k

aff(X, . . . ,XN)⊆A

k

aff(Z, . . . ,ZM)

= A

k

aff {X,Z, . . . ,ZM} \ {Zk} .

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ForX=M

i=A

iZi, we find a setAksuch thatAk =AkAkA+, A

k

X= A

k

Zk and k=k. Assume to the contraryk=k, then there exists a setBA+such that BX=

BX, which is a contradiction to the affine independence of (Xi)Ni=. Hence, we can again substituteZk byXonAk. Inductively, we findk, . . . ,kN such that

AkNaff(X, . . . ,XN)⊆AkNaff {X, . . . ,XN,Z, . . . ,ZM} \ {Zk, . . . ,ZkN} ,

which shows MN. Now suppose that Y, . . . ,YN are not affinely independent. This means that there exist (λi)Ni=such thatN

i=λiYi=N

i=λi=  but not all coefficientsλi are zero, without loss of generality,λ>  onAA+. Thus, AY= –AN

i=

λi

λYiand it holds that Aaff(Y, . . . ,YN) = Aaff(Y, . . . ,YN). To see this, consider AZ= AN

i=μiYiin

Aaff(Y, . . . ,YN), which means A

N

i=μi= A. Thus, inserting forY,

AZ= A

N

i=

μiYiμ N

i=

λi λYi

= A

N

i=

μiμλi λ

Yi

.

Moreover,

A

N

i=

μiμλi λ

= A

N

i=

μi

+ A

μ

λ N

i=

λi

= A( –μ) + Aμ λλ= A.

Hence, it holds that AZ∈Aaff(Y, . . . ,YN). It follows that Aaff(X, . . . ,XN) = Aaff(Y, . . . , YN) = Aaff(Y, . . . ,YN). This is a contradiction to the former part of the proof (because N– N).

Next, we show that in a conditional simplexS=conv(X, . . . ,XN) it holds thatXis in σ(X, . . . ,XN) if and only if there do not existY andZinS\ {X}andλ∈(, )(A) such thatλY+ ( –λ)Z=X. ConsiderXσ(X, . . . ,XN) which isX=N

k=AkXkfor a partition (Ak)k=,...,N. Now assume to the contrary that we findY=N

k=λkXkandZ=N

k=μkXkin S\ {X}such thatX=λY+ ( –λ)Z. This means thatX=N

k=(λλk+ ( –λ)μk)Xk. Due to uniqueness of the coefficients (cf.(.)) in a conditional simplex, we haveλλk+ ( –λ)μk=

Akfor allk= , . . . ,N. By means of  <λ< , it holds thatλλk+ ( –λ)μk= Akif and only if λk=μk= Ak. Since the last equality holds for allk, it follows thatY=Z=X. Therefore, we cannot findYandZinS\ {X}such thatXis a strict convex combination of them. On the other hand, considerXSsuch thatX∈/σ(X, . . . ,XN). This meansX=N

k=νkXksuch that there existνkandνkandBA+with  <νk<  onBand  <νk<  onB. Defineε:=

ess inf{νk,νk,  –νk,  –νk}. Then defineμk=λk=νkifk=k=kandλk=νkε,λk= νk+ε,μk=νk+εandμk=νk–ε. Thus,Y=N

k=λkXkandZ=N

k=μkXkfulfill .Y+

.Z=Xbut both are not equal toXby construction. Hence,Xcan be written as a strict convex combination of elements inS\ {X}. To conclude, considerXσ(X, . . . ,XN)⊆ S=conv(X, . . . ,XN) =conv(Y, . . . ,YN). SinceXσ(X, . . . ,XN), it is not a strict convex combination of elements inS\ {X}, in particular, of elements inconv(Y, . . . ,YN)\ {X}.

Therefore,Xis also inσ(Y, . . . ,YN). Hence,σ(X, . . . ,XN)⊆σ(Y, . . . ,YN). With the same

argumentation, the other inclusion follows.

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As an example, let us consider [, ](A). For an arbitraryAA, it holds that Aand

Acare affinely independent andconv(A, Ac) ={λA+ ( –λ)Ac: ≤λ≤}= [, ](A).

Thus, the conditional simplex [, ](A) can be written as a convex combination of different affinely independent elements ofL. This is due to the fact thatσ(, ) ={B:BA}= σ(A, Ac) for allAA.

Remark . In (L)d, leteibe the random variable which is  in theith component and  in any other. Then the family ,e, . . . ,edis affinely independent and (L)d=aff(,e, . . . ,ed).

Hence, the maximal number of affinely independent elements in (L)disd+ .

The characterization ofXσ(X, . . . ,XN) leads to the following definition.

Definition . LetS=conv(X, . . . ,XN) be a conditional simplex. We define the set of extremal pointsext(S) =σ(X, . . . ,XN). For an index setIand a collectionS = (Si)i∈I of conditional simplexes, we denoteext(S) =σ(

i∈Iext(Si)).

Remark . LetSj=conv(Xj, . . . ,XjN),j∈N, be conditional simplexes of the same dimen- sionNand (Aj)j∈Na partition. Then

j∈NAjSjis again a conditional simplex. To that end, we defineYk=

j∈NAjXjkand recognize

j∈NAjSj=conv(Y, . . . ,YN). Indeed, N

k=

λkYk= N

k=

λk

j∈N

AjXjk=

j∈N

Aj

N k=

λkXjk

j∈N

AjSj, (.)

showsconv(Y, . . . ,YN)⊆

j∈NAjSj. The other inclusion follows by consideringN

k=λjk× XkjSjand definingλk=

j∈NAjλjk. To show thatY, . . . ,YNare affinely independent, we considerN

k=λkYk=  =N

k=λk. Then by (.) it holds that Aj

N

k=λkXkj=  and since Sjis a conditional simplex, Ajλk=  for allj∈Nandk= , . . . ,N. From the fact that (Aj)j∈N is a partition, it follows thatλk=  for allk= , . . . ,N.

We will prove the Brouwer fixed point theorem in the present setting using an L- module version of Sperner’s lemma. As in the unconditional case, we have to subdivide a conditional simplex into smaller ones. For our argumentation, we cannot use arbitrary subdivisions and need very special properties of the conditional simplexes in which we subdivide. This leads to the following definition.

Definition . LetS=conv(X, . . . ,XN) be a conditional simplex and SNbe the group of permutations of{, . . . ,N}. Then, forπ∈SN, we define

Ykπ= k

k i=

Xπ(i), k= , . . . ,N, Cπ=conv Yπ, . . . ,YNπ

.

We call (Cπ)π∈SN thebarycentric subdivisionofS.

Lemma . Let X, . . . ,XN ∈(L)dbe affinely independent.The barycentric subdivision ofS=conv(X, . . . ,XN)is a collection of finitely many conditional simplexes satisfying the following properties:

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(i) σ(

π∈SNCπ) =S.

(ii) Cπ has dimensionN,π∈SN.

(iii) CπCπis a conditional simplex of dimensionr∈Nandr<Nforπ,π∈SN,π=π. (iv) Fors= , . . . ,N– ,letBs:=conv(X, . . . ,Xs).All conditional simplexesCπBs,

π∈SN,of dimensionssubdivideBsbarycentrically.

Proof We show the affine independence ofYπ, . . . ,YNπ inCπ. It holds that

λπ()Xπ()+λπ()Xπ()+Xπ()

 +· · ·+λπ(N) N

k=Xπ(k)

N =

N i=

μiXi,

withμi=N

k=π–(i) λπ(k)

k . SinceN

i=μi=N

i=λi, the affine independence ofYπ, . . . ,YNπ is obtained by the affine independence ofX, . . . ,XN. Therefore allCπ are conditional sim- plexes.

As for Condition (i), it clearly holds thatσ(

π∈SNCπ)⊆S. On the other hand, letX= N

i=λiXiS. Then we find a partition (An)n=,...,M, for someM∈N, such that on every Anthe indexes are completely ordered, which isλin

λin

≥ · · · ≥λin

N onAn.aThis means thatX∈AnCπnwithπn(j) =inj. Indeed, we can rewriteXonAnas

X= (λinλin

)Xin+· · ·+ (N– )(λin

N–λin

N) N–

k= Xin

k

N–  +in

N

N

k=Xin

k

N ,

which shows thatXCπnonAn. Condition (ii) is fulfilled by construction.

The intersection of two conditional simplexesCπandCπcan be expressed in the follow- ing manner. LetJ={j:{π(), . . . ,π(j)}={π(), . . . ,π(j)}}be the set of indexes up to which bothπandπhave the same set of images. Then

CπCπ=conv Yjπ:jJ

. (.)

To show ⊇, let jJ. It holds that Yjπ is in both Cπ and Cπ since {π(), . . . ,π(j)}= {π(), . . . ,π(j)}. Since the intersection ofL-convex sets isL-convex, we get this inclu- sion. As for the reverse inclusion, considerXCπCπ. FromXCπCπ, it follows that X=N

i=λi(i

k=

Xπ(k) i ) =N

i=μi(i

k=

Xπ(k)

i ). Considerj∈/J. By definition ofJ, there exist p,qjwithπ–(π(p)),π–(π(q)) /∈ {, . . . ,j}. By (.), the coefficients ofXπ(p) are equal:

N i=p

λi i =N

i=π–(π(p)) μi

i. The same holds forXπ(q):N i=q

μi i =N

i=π–(π(q)) λi

i. Put together N

i=j+

μi i

N i=q

μi i =

N i=π–(π(q))

λi i

N i=j+

λi i

N i=p

λi i =

N i=π–(π(p))

μi i

N i=j+

μi i ,

which is only possible ifμj=λj=  sincep,qj. Furthermore, ifCπCπ is of dimension N, by (.) it follows thatπ=π. This shows (iii).

Further, forBs=conv(X, . . . ,Xs), the elementsCπBsof dimensionsare exactly the ones with{π(i) :i= , . . . ,s}={, . . . ,s}. To this end, letCπBsbe of dimensions. This means there exists an elementY in this intersection such thatY=N

i=λiXiwithλi>  for alli= , . . . ,sandλi=  fori>s. As an element ofCπ, thisYhas a representation of the formY=N

j=(N

k=j μk

k )Xπ(j)forN

k=μk=  andμkL+for everyk= , . . . ,N. Suppose

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now that there exists somejswithπ(j) >s. Then due toλπ(j)=  and the uniqueness of the coefficients (cf.(.)) in a conditional simplex, it holds thatN

k=j μk

k =  and within N

k=j μk

k =  for alljj. This meansY=j–

j= (N

k=j μk

k)Xπ(j)and henceY is the convex combination ofj–  elements withj–  <s. This contradicts the property thatλi>  for selements. Therefore, (CπBs)πis exactly the barycentric subdivision ofBs, which has

been shown to fulfill the properties (i)-(iii).

Subdividing a conditional simplex S = conv(X, . . . ,XN) barycentrically, we obtain (Cπ)π∈SN. Dividing everyCπbarycentrically results in a new collection of conditional sim- plexes and we call this the two-fold barycentric subdivision ofS. Inductively, we can sub- divide every conditional simplex of the (m– )th step barycentrically and call the resulting collection of conditional simplexes them-fold barycentric subdivision ofSand denote it bySm. Further, we defineext(Sm) =σ({ext(C) :CSm}) to be theσ-stable hull of all extremal points of the conditional simplexes of them-fold barycentric subdivision ofS.

Notice that this is theσ-stable hull of only finitely many elements, since there are only finitely many simplexes in the subdivision, each of which is the convex hull ofNelements.

Remark . Consider an arbitraryCπ=conv(Yπ, . . . ,YNπ),π∈SNin the barycentric sub- division of a conditional simplexS. Then it holds that

diam(Cπ) =ess sup

i,j=,...,N

YiπYjπN– 

N diam(S).

Since this holds for any πSN, it follows that the diameter ofSm, which is an arbi- trary conditional simplex of them-fold barycentric subdivision ofS, fulfillsdiam(Sm)≤ (N–N )mdiam(S). Since diam(S) < ∞ and (N–N )m → , for m → ∞, it follows that diam(Sm)→ form→ ∞for every sequence (Sm)m∈N.

2 Brouwer fixed point theorem for conditional simplexes

Definition . LetS=conv(X, . . . ,XN) be a conditional simplex,m-fold barycentrically subdivided inSm. A local functionφ:ext(Sm)→ {, . . . ,N}(A) is called alabeling func- tionofS. For fixedX, . . . ,XN ∈ext(S) withS=conv(X, . . . ,XN), the labeling function is calledproperif for anyY∈ext(Sm) it holds that

P ω:φ(Y)(ω) =i,λi(ω) = 

=  fori= , . . . ,N, whereY=N

i=λiXi. A conditional simplexC=conv(Y, . . . ,YN), withCS, withYj∈ext(Sm),j= , . . . ,N, is said to becompletely labeledbyφ if φ is a proper labeling function ofSand

P ω: there existsj∈ {, . . . ,N},φ(Yj)(ω) =i

=  for alli∈ {, . . . ,N}.

Lemma . LetS =conv(X, . . . ,XN)be a conditional simplex and f :SS be a lo- cal function. Let φ :ext(Sm)→ {, . . . ,N}(A) be a local function such that for every X∈ext(Sm)it holds that

(9)

(i) P({ω:φ(X)(ω) =i;λi(ω) = orμi(ω) >λi(ω)}) = for alli= , . . . ,N, (ii) P({ω:φ(X)(ω) = ,i∈ {, . . . ,N},λi(ω) > ,λi(ω)≥μi(ω)}) = , wherei)i=,...,Nandi)i=,...,Nare determined by X=N

i=λiXiand f(X) =N

i=μiXi.Then φis a proper labeling function.

Moreover,the set of functions fulfilling these properties is non-empty.

Proof First we show thatφ is a labeling function. Sinceφis local, we just have to prove thatφactually maps into{, . . . ,N}. Due to (ii), we have to show that

P ω: there existsi∈ {, . . . ,N},λi(ω)≥μi(ω),λi(ω) > 

= .

Assume, to the contrary, thatμi>λionAA+for allλiwithλi>  onA. Then it holds that  =N

i=λii>}<N

i=μii>}=  onA, which yields a contradiction. Thus,φ is a labeling function. Moreover, due to (i), it holds in particular thatP({ω:φ(X)(ω) =i,λi(ω) =

}) = , which shows thatφis proper.

To prove the existence forX∈ext(Sm) withX=N

i=λiXi,f(X) =N

i=μi, letBi:={ω: λi(ω) > } ∩ {ω:λi(ω)≥μi(ω)},i= , . . . ,N. Then we define the functionφ atXas{ω: φ(X)(ω) =i}=Bi\(i–

k=Bk),i= , . . . ,N. It has been shown thatφmaps to{, . . . ,N}(A) and is proper. It remains to show that φ is local. To this end, considerX=

j∈NAjXj, where Xj=N

i=λjiXi andf(Xj) =N

i=μjiXi. Due to uniqueness of the coefficients in a conditional simplex, it holds thatλi=

j∈NAjλji, and due to locality off, it follows that μi=

j∈NAjμji. Therefore it holds thatBi=

j∈N({ω:λji(ω) > } ∩ {ω:λji(ω)≥μji(ω)} ∩ Aj) =

j∈N(BjiAj). Hence,φ(X) =ionBi\(i–

k=Bk) = [

j∈N(BjiAj)]\[i–

k=(

j∈NBjkAj)] =

j∈N[(Bji\i–

k=Bjk)∩Aj]. On the other hand, we see that

j∈NAjφ(Xj) ision any Aj∩ {ω:φ(Xj)(ω) =i}, hence it isi on

j∈N(Bji\i–

k=Bjk)∩Aj. Thus,

j∈NAjφ(Xj) = φ(

j∈NAjXj), which shows thatφis local.

The reason to demand locality of a labeling function is exactly because we want to label by the functionφ mentioned in the existence proof of Lemma . and hence keep local information with it. For example, consider a conditional simplexS=conv(X,X,X,X) and={ω,ω}. LetY∈ext(S) be given byY=

i=Xi. Now consider a functionf on Ssuch that

f(Y)(ω) = 

X) +

X); f(Y)(ω) =

X) +

X) +

X).

If we label Y by the rule explained in Lemma .,φ takes the values φ(Y)(ω)∈ {, }

andφ(Y)(ω) = . Therefore, we can really distinguish on which setsλiμi. Yet, using a deterministic labeling ofY, we would lose this information.

Theorem . LetS=conv(X, . . . ,XN)be a conditional simplex in(L)d.Let further f : SS be a local,sequentially continuous function.Then there exists YS such that f(Y) =Y.

Proof We consider the barycentric subdivision (Cπ)π∈SN ofSand a proper labeling func- tionφonext(S). First, we show that we can find a completely labeled conditional simplex inS. By induction on the dimension ofS=conv(X, . . . ,XN), we show that there exists a

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