ON SOLUTIONS OF PERTURBED OPTIMIZATION PROBLEMS · Mitrofan M. Choban Tiraspol State University,...

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ON SOLUTIONS OF PERTURBED OPTIMIZATION PROBLEMS Mitrofan M. Choban Tiraspol State University, Republic of Moldova e-mail: [email protected] 13-th WORKSHOP ON WELL-POSEDNESS OF OPTIMIZATION PROBLEMS AND RELATED TOPICS, September 12-16, 2011, Borovets, Bulgaria September 15, 2011 Mitrofan M. Choban ON SOLUTIONS OF PERTURBED OPTIMIZATION PROBLEMS

Transcript of ON SOLUTIONS OF PERTURBED OPTIMIZATION PROBLEMS · Mitrofan M. Choban Tiraspol State University,...

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ON SOLUTIONS OF PERTURBED OPTIMIZATIONPROBLEMS

Mitrofan M. Choban

Tiraspol State University, Republic of Moldovae-mail: [email protected]

13-th WORKSHOP ON WELL-POSEDNESSOF OPTIMIZATION PROBLEMS AND RELATED TOPICS,

September 12-16, 2011, Borovets, Bulgaria

September 15, 2011

Mitrofan M. Choban ON SOLUTIONS OF PERTURBED OPTIMIZATION PROBLEMS

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1. Introduction

By a space we understand a completely regular topological Hausdorff space. We usethe terminology from: R.Engelking [1], L. Gillman and M. Jerison [2], K. Kuratowski [3],R. Lucchetti and J. Revalski (eds.) [4].

Let R be the space of reals, R+ = x ∈ R : x ≥ 0,N = 1,2, ... and I = [0,1] be thesubspaces of the space R, R∞ = R ∪ +∞. The sets R∞t = x ∈ R∞ : t < x form abase of the space R∞ at the point +∞.Let X be a topological space.Denote by C(X) the Banach space of all bounded continuous functions f : X −→ Rwith the sup-norm ‖ f ‖∞ = sup|f(x)|; x ∈ X .

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Our principal topological notions are the following:

Definitions 1.1. (a) A sequence Un : n ∈N of subsets of a space X is called aq-sequence if:(i) any sequence xn ∈ Un : n ∈N has an accumulation point in X;(ii) the sets X \ Un and Un+1 form a pair of completely separated subsets of the spaceX for any n ∈N.

(b) A sequence Un : n ∈N of subsets of a space X is called a k-sequence if it is aq-sequence and ∩Un : n ∈N is a compact subset.

(c) A sequence Un : n ∈N of subsets of a space X is called a p-sequence if:(i) any sequence xn ∈ Un : n ∈N is convergent in X;(ii) clX Un+1 ⊆ Un for any n ∈N.

(d) A point x ∈ X is called:- a q-point if there exists a countably compact subset F of X of countable character inX such that x ∈ F;- a k-point or a point of countable type if there exists a compact subset F of countablecharacter in X such that x ∈ F.

(e) A space X is called a complete M-space if there exists a continuous closedmapping g : X −→ Y onto some complete metric space Y such that the fibers f−1(y),y ∈ Y, are countable compact.

(f) if the sets A and X \ B are completely separated, then we put A B. In this caseA ⊆ B.

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Distinct classes of spaces were studied in the works of: A. V. Arhangel’skii [16, 17], A.V. Arhangel’skii, A. V. Arhangel’skii and M.M. Choban A. V. Arhangel’skii, M.M. Chobanand P. S. Kenderov [21], A. V. Arhangelskii and M. G. Tkachenko [22], J. Chaber,M.M.Coban and K. Nagami [23], M. Choban [24], M. Choban, P. Kenderov andJ.Revalski [4, 6, 7, 8], P. S. Kenderov, I. S. Kortezov and W. B. Moors [25], E. Michael[26, 27, 28], K.Morita [29], H.H. Wicke [30], etc.

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2. Topological optimization problems

A function f : X −→ R∞ is called lower semi-continuous if and only if the setx ∈ X : f(x) > t is an open set for every t ∈ R.Many optimization problems can be formulated in the following way:Given a space X and a lower semi-continuous function f : X −→ R∞. Sought a pointx0 ∈ X such that f(x0) ≤ f(x) for each x ∈ X . In this case we say that the minimizationproblem min(X , f) is given.

For any function f : X −→ R∞ we put infX (f) = inf f(x) : x ∈ X ,MX (f) = x ∈ X : f(x) = infX (f) and dom(f) = x ∈ X : f(x) < +∞.The set MX (f) is the set of all solutions of the minimization problem min(X , f).The function f is called proper if its domain dom(f) is non-empty.

A sequence yn ∈ X : n ∈N is called a minimizing sequence of the problem min(X , f)if limf(yn) = infX (f).

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3. Well-posed minimization problemsFix a space X and a proper bounded from below lower semi-continuous functionf : X −→ R∞ on a space X .

We put X(f , t) = f−1(−∞, t) for each t ∈ R∞. We say that U is a f -open subset of thespace X if U is open in X , or there exists t ∈ R∞ such that U ⊆ X(f , t) and U isrelatively open in X(ψ, t). All sets X(f , t) are f -open. The intersection of a finite numberof f -open subsets is f -open. The family of all f -open subsets is a base of a newTychonoff topology Tf on X . That is the minimal topology on X which contains theinitial topology T of the space X and the function f is continuous. Denote by Xf the setX with the new topology Tf .Consider the mapping ef : X −→ βX ×R∞, where ef (x) = (x , f(x)) for each x ∈ X . Bycf X denote the closure of the set ef (X) in βX ×R∞. Then cf X is the f -compactificationof the space Xf . The mapping cf : cf X −→ βX , where cf (x , y) = x for each (x , y) ∈ cf X ,is continuous.

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For any r > 0 and g ∈ C(X) we put:- M(X ,f ,r)(g) = clX x ∈ X : f(x) + g(x) ≤ r + infX (f + g);- M(βX ,f ,r)(g) = M(βX ,r)(f + g) = clβX M(X ,f ,r)(g);- M(X ,f)(g) = ∩M(X ,f ,r)(g) : r > 0 = MX (f + g);- M(βX ,f)(g) = ∩M(βX ,f ,r)(g) : r > 0 = MβX (f + g);- M(cf X ,f ,r)(g) = M(cf X ,r)(f + g) = clcf X M(X ,f ,r)(g);- M(cf X ,f)(g) = ∩M(cf X ,f ,r)(g) : r > 0 = Mcf X (f + g).

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By construction, M(βX ,f) is a set-valued mapping of C(X) in βX , M(cf X ,f) is a set-valuedmapping of C(X) in cf X and M(X ,f ,r), M(X ,f) are set-vaued mappings of C(X) in X .

Obviously, M(X ,f)(g) = x ∈ X : f(x) + g(x) = infX (f + g) andcf (M(cf X ,f)(g)) = M(βX ,f)(g) for each g ∈ C(X).

The mapping M(X ,f) is called the solution mapping of the continuous perturbations ofthe function f , the mapping M(X ,f ,r) is the r-solution mapping of the continuousperturbations of the function f , where r ≥ 0. We may say that M(βX ,f)(g) \M(X ,f)(g) isthe set of the virtual solutions of the minimization problem min(X , f + g). We say thatM(cf X ,f) is the extension solution mapping of the minimization problem min(X , f + g).

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Fix a space X and a proper bounded from below lower semi-continuous functionψ : X −→ R∞ on the space X .

Definition 3.1. A minimization problem min(X , ψ) is called:

(T) Tychonoff well-posed if every minimizing sequence xn ∈ X : n ∈N of the functionψ is convergent (to a point from MX (ψ));

(AT) almost Tychonoff well-posed if every minimizing sequence xn ∈ X : n ∈N of thefunction ψ has a cluster point in X;

(WT) weakly Tychonoff well-posed if MX (ψ) = MβX (ψ) is a compact set and everyminimizing sequence xn ∈ X : n ∈N of the function ψ has a cluster point in X.

The following implications are obvious(T) −→ (WT) −→ (AT).

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4. Global conditions of well-posedness

For a proper bounded from below lower semi-continuous function ψ : X −→ R∞ on aspace X consider the following sets of continuous perturbations:

- SM(ψ,X) = f ∈ C(X) : MX (f + ψ) is a singleton;

- TWP(ψ,X) = f ∈ C(X) : the minimization problem min(X , f + ψ) is Tychonoffwell-posed;

- aTWP(ψ,X) = f ∈ C(X) : the minimization problem min(X , f +ψ) is almost Tychonoffwell-posed;

- wTWP(ψ,X) = f ∈ C(X) : the minimization problem min(X , f + ψ) is weaklyTychonoff well-posed.

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Let S ∈ SM(ψ,X),TWP(ψ,X),aTWP(ψ,X),TWP(ψ,X).

The following questions are natural:Q1. Under which conditions the set S is non-empty?Q2. Under which conditions the set S is dense in the space C(X)?Q2. Under which conditions the set S contains a dense Gδ-subset of the space C(X)?

These questions are typical for the distinct variational principles in optimization. Someoptimization problems in topological spaces were studied in [4] and in the works of: J.M. Borwein and D. Preiss [5], M. M. Choban, P. S. Kenderov and J. P. Revalski [6, 7, 8],R.Deville, G. Godefroy and V. Zizler [9], I. Ekeland [10, 11], P. S. Kenderov and J.Revalski [12], R. R. Phelps [13], J. Saint-Raymond [14], C. Stegall [15].

Our aim is to examined the above questions for some concrete properties of sets. Wepresent conditions under which the set of continuous perturbations of a given lowersemi-continuous function attains minimum on a subset with concrete properties is ”big”in a topological sense.

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5. Main properties of the solution mappings

Fix a space X and a proper bounded from below lower semi-continuous functionf : X −→ R∞ on a space X .Unfortunately, since we may to have M(X ,f)(g) = ∅ for some g ∈ C(X), the mappingM(X ,f) does not describe the real situation. The mappings M(βX ,f), M(cf X ,f) and M(X ,f ,r)

are more sensible in this sense.

For any subset H of X we put M≈(X ,f)(H) = g ∈ C(X) : M(X ,f ,r)(g) H for some r > 0.

For each y ∈ cf X we put f(y) = inf r ∈ R∞ : y ∈ clcf X f−1(−∞, r]. Then f is thecontinuous extension of the function f on cf X . If Bf1 = c−1

f (U) : U is open in βX andBf2 = f(−∞, r) : r ∈ R, then Bf = U ∩ V : U ∈ Bf1,V ∈ Bf2 is an open base of thespace cf X . The set f−1(+∞) is closed in cf X . Thus Dom(f) is open in cf X . Byconstruction, Xf is the set X as a subspace of the space cf X .

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We say that the set-valued mapping θ : Y −→ Z is d-open if for any open subset V ofY there exists an open subset W of Z such that W ⊆ clZ (W ∩ θ(V)).

Theorem 5.1 Under the above conditions the next assertions are true:1. The mapping M(cf X ,f) is upper semi-continuous.2. The mapping M(cf X ,f) is d-open and for each open subset V of the space C(X) theset W = X ∩M(cf X ,f)(V) is open in Xf and M(cf X ,f)(V) ⊆ clcf X W.3. If U is an open subset of cf X and U ∩ dom(f) , ∅, then M≈

(X ,f)(U) , ∅.

4. The set M≈(cf X ,f)

(U) is dense in the set M−1(cf X ,f)

(U) for any open subset U of cf X.

Corollary 5.2 Let γ be a family of open subsets of a space X and ∪U∩dom(f) : U ∈ γ= dom(f). Then ∪M≈

(βX ,f)(U) : U ∈ γ is an open dense subset of the space C(X).

Corollary 5.3 Let γ be a family of open subsets of a space Xf and∪U ∩ dom(f) : U ∈ γ is dense in dom(f). Then ∪M≈

(βX ,f)(U) : U ∈ γ is an open densesubset of the space C(X).

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6. Solutions of minimization problemsand topological games

Fix a space X and a proper bounded from below lower semicontinuous functionψ : X −→ R∞ on a space X .We mention that the structure of the sets TWP(X , ψ), aWP(ψ,X), wTWP(ψ,X)depend as of properties of the space X , as of properties of the function ψ.

Fix a property P of the sequences An : n ∈N of subsets of the space X . We considerthe next properties:∅: any sequence;p: any sequence xn ∈ An : n ∈N is convergent in X ;q: any sequence xn ∈ An : n ∈N has any cluster point in X ;k : any sequence xn ∈ An : n ∈N has any cluster point in X and the set∩clX An : n ∈N is a compact subset of X .

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Given two players Σ and Ω which play the following infinite topological game in X : theplayers select alternatively (Σ starts) non-empty ψ-open subsets An (for Σ) and Bn (forΩ) of X so that An+1 ⊆ Bn ⊆ An for each n ∈N. The so obtained sequence of setsAn ,Bn : n ∈N is called a ψ-play in this game. Denote this game by G(X , ψ,P). Theplayer Ω wins the ψ-play An ,Bn : n ∈N if ∩clX An : n ∈N = ∩clX Bn : n ∈N , ∅and the sequence Bn : n ∈N has the property P. In this game one may assume thatthe sets An ,Bn : n ∈N are open in the space Xψ.

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Using the methods developed in [6, 7, 8, 4], we prove the following facts.

Theorem 6.1. Let Y = dom(ψ) and Yψ is the set Y as a subspace of the space Xψ.The following assertions are equivalent:1. The player Ω have a winning strategy in the game G(X , ψ, ∅).2. The player Ω have a winning strategy in the Banach-Mazur game BM(Yψ) on thespace Yψ.3. The set f ∈ C(X) : MX (ψ+ f) , ∅ contains a dense Gδ-subset of C(X).

Theorem 6.2. The following assertions are equivalent:1. The player Ω have a winning strategy in the game G(X , ψ,p).2. The set TWP(ψ,X) contains a dense Gδ-subset of C(X).3. The space Xψ contains a dense complete metrizable subspace.

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Theorem 6.3. The following assertions are equivalent:1. The player Ω have a winning strategy in the game G(X , ψ, k).2. The set wTWP(ψ,X) contains a dense Gδ-subset of C(X).3. The space Xψ contains a dense Cech-complete subspace.

Theorem 6.4. The following assertions are equivalent:1. The player Ω have a winning strategy in the game G(X , ψ,q).2. The set aWP(ψ,X) contains a dense Gδ-subset of C(X).3. The space Xψ contains a dense complete M-subspace.Corollary 6.5 Let ψ : X −→ Y be an open continuous mapping of a space X onto aspace Y and P ∈ ∅,p,q, k . If for any proper bounded from below lowersemicontinuous function f : X −→ R∞ the player Ω have a winning strategy in the gameG(X , f ,P), then for any proper bounded from below lower semicontinuous functiong : Y −→ R∞ the player Ω have a winning strategy in the game G(Y ,g,P).

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Example 6.6. In the Euclidian space R2 with the distanced((x , y), (u, v)) = max|x − u|, |y − v | consider the subspace X = Y ∪ B, whereY = (x , y) : 0 ≤ x ≤ 1,0 < y ≤ 1 and B = (t ,0) : 0 ≤ t ≤ 1, t is a rational number.On the space X consider the bounded lower semicontinuous function ψ, whereψ(x) = 0 for each x ∈ B and ψ(x) = 2 for each x ∈ Y . The subspace Y is open anddense in X . Moreower, the subspace Y is locally compact and complete metrizable.The function ψ is continuous in any point of the set Y and discontinuous in the points ofthe set B. But ψ|B is continuous on B. Obviously, dom(ψ) = X .Since the space X is metrizable, the set TWP(X , ψ) is dense in C(X).There exists an open non-empty subset U of C(X) such that the sets U ∩ TWP(X , ψ),U ∩ wTWP(X , ψ) and U ∩ aTWP(X , ψ) are of the first category in C(X).The player Σ have a winning strategy in the game G(X , ψ,p).

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Example 6.7. Let the space X and their subspaces Y and B be as in Example 6.6.Assume that B = bn : n ∈N. On the space X consider the bounded lowersemicontinuous function φ, where φ(x) = 1 for each x ∈ Y and φ(bn) = 1 − n−1 foreach n ∈N.The function φ is continuous in any point of the set Y and discontinuous in the points ofthe set B. Moreover, the function φ|B is not continuous in each point of the space B.Obviously, dom(φ) = X .The set TWP(X , ψ) = TWP(X , φ,Y) ∪ (∪TWP(X , φ,b) : b ∈ B) is a dense Gδ-subsetof the space C(X) and contains a dense open subset of C(X).The player Ω have a winning strategy in the game G(X , φ,p).

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Example 6.8. Let the space X and their subspaces Y and B be as in Example 6.6.Assume that B = bn : n ∈N. On the space X consider the bounded lowersemicontinuous functions fn : n ∈N, where fn(x) = 2 for each x ∈ Y , fn(bn) = 0 andfn(x) = 1 for each x ∈ B \ bn for each n ∈N.The functions fn are continuous in any point of the set Y and discontinuous in thepoints of the set B. Obviously, dom(fn) = X .The set ∩TWP(X , fn) : n ∈N is dense in C(X). For each n ∈N there exists an opennon-empty subset Un of C(X) such that the set Un ∩ TWP(X , fn) is of the first categoryin C(X).The player Σ have winning strategies in the games G(X , fn ,p).If F = fn : n ∈N and TF = supTfn : n ∈N, then (X ,TF ) is a complete metrizablespace and that space is favorable for the player Ω.

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Example 6.9. Let Y = dom(ψ), Yψ be the set Y as a subspace of the space Xψ and Ybe a space with Gδ-diagonal. If the player Ω have a winning strategy in the gameG(X , ψ, ∅), then the set f ∈ C(X) : MX (ψ+ f) is a singleton contains a denseGδ-subset of C(X).

Now let X be the Sorgenfrey line, ψ ∈ C(X). Then:1. The set f ∈ C(X) : MX (ψ+ f) is a singleton contains a dense Gδ-subset of C(X).2. The set TWP(ψ,X) is dense in C(X) and does not contain a dense Gδ-subset ofC(X).

By virtue of above examples, the structure of the sets TWP(X , ψ), aWP(ψ,X),wTWP(ψ,X) depend as of properties of the space X , as of properties of the function ψ.

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REFERENCES1. R. Engelking, General Topology, PWN. Warszawa, 1977.2. L. Gillman and M. Jerison, Rings of Continuous Functions, D. Van NostrandCompany. New York, 1960.3. K. Kuratowski, Topology, Vol. 1, New York, 1966.4. R. Lucchetti and J. Revalski (eds.), Recent Developments in Well-Posed VariationalProblems, Kluwer Academic Publishers. Dordrecht-Boston-London, 1995.6. M. M. Coban, P. S. Kenderov and J. P. Revalski, Generic well-posedness ofoptimization problems in topological spaces, Mathematica 36 (1989) 301-324.7. M. M. Coban, P. S. Kenderov and J. P. Revalski, Characterizations of topologicalspaces with almost completeness properties,8. M. M. Coban, P. S. Kenderov and J. P. Revalski, Topological spaces related to theBanach-Mazur game and the generic properties of optimization problems, Set-valuedAnalysis9. R.Deville, G. Godefroy and V. Zizler, A smooth variational principle with applicationsto Hamilton-Jacobi equations in nfinite dimensions, J. Functional Analysis 111 (1993),197-212.

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Mitrofan M. Choban ON SOLUTIONS OF PERTURBED OPTIMIZATION PROBLEMS