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Hindawi Publishing Corporation FixedPointTheory and Applications Volume 2008, Article ID 312876, 11 pages doi:10.1155/2008/312876 ResearchArticleApplicationsofFixedPointTheoremsintheTheoryofGeneralized IFS Alexandru Mihail and Radu Miculescu Department of Mathematics, Bucharest University, Bucharest, Academiei Street 14, 010014 Bucharest, Romania Correspondence should be addressed to Radu Miculescu, miculesc@yahoo.com Received 9 February 2008; Accepted 22 May 2008 Recommended by Hichem Ben-El-Mechaiekh We introduce the notion of a generalized iterated function system GIFS, which is a finite family of functions f k : X m → X, where X, d is a metric space and m ∈ N.IncasethatX, d isacompact metric space and the functions f k are contractions, using some fixed pointtheorems for contractions from X m to X, we prove the existence ofthe attractor of such a GIFS and its continuous dependence inthe f k ’s. Copyright q 2008 A. Mihail and R. Miculescu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 1. Introduction We start with a short presentation ofthe notion of an iterated function system IFS, one ofthe most common and most general ways to generate fractals. This will serve as a framework for our generalization of an iterated function system. Then, we introduce the notion of a GIFS, which is a finite family of functions f k : X m → X, where X, d is a metric space and m ∈ N.IncasethatX, d is a compact metric space and the functions f k are contractions, using some fixed pointtheorems for contractions from X m to X, we prove the existence ofthe attractor of such a GIFS and its continuous dependence inthe f k ’s. IFSs were introduced in their present form by Hutchinson see 1 and popularized by Barnsley see 2. Inthe last period, IFSs have attracted much attention being used from researchers who work on autoregressive time series, engineer sciences, physics, and so forth. For applicationsof IFSs in image processing theory, inthetheoryof stochastic growth models, and inthetheoryof random dynamical systems, one can consult 3–5. There is a current effort to extend Hutchinson’s classical framework for fractals to more general spaces and infinite IFSs. 2 FixedPointTheory and Applications Let us mention some papers containing results on this direction. Results concerning infinite iterated function systems have been obtained for the case when the attractor is compact see, e.g., 6 where the case of a countable iterated function system on a compact metric space is considered.In7, we provide a general framework where attractors are nonempty closed and bounded subsets of topologically complete metric spaces and where the IFSs may be infinite, in contrast with the classical theory see 2,where only attractors that are compact metric spaces and IFSs that are finite are considered. Gw ´ o ´ zd ´ z-Łukawska and Jachymski 8 discuss the Hutchinson-Barnsley theory for infinite iterated function systems. Łozi ´ nski et al. 9 introduce the notion of quantum iterated function systems QIFSs which is designed to describe certain problems of nonunitary quantum dynamics. K ¨ aenm ¨ aki 10 constructs a thermodynamical formalism for very general iterated function systems. Le ´ sniak 11 presents a multivalued approach of infinite iterated function systems. 2. Preliminaries Notations. Let X, d X and Y, d Y be two metric spaces. As usual, CX, Y denotes the set of continuous functions from X to Y,and d : CX, Y × CX, Y → R R ∪{∞}, defined by df, gsup x∈X d Y fx,gx , 2.1 is thegeneralized metric on CX, Y . For a sequence f n n of elements of CX, Y and f ∈ CX, Y ,f n s −→ f denotes the pointwise convergence, f n u·c −−→ f denotes the uniform convergence on compact sets, and f n u −→ f denotes the uniform convergence, that is, the convergence inthegeneralized metric d. Definition 2.1. LetX, d be a complete metric space and let m ∈ N. For a function f : X m × m k1 X → X, the number inf c : d f x 1 , ,x m ,f y 1 , ,y m ≤ c max d x 1 ,y 1 , ,d x m ,y m , ∀x 1 , ,x m ,y 1 , ,y m ∈ X 2.2 which is the same as sup d f x 1 , ,x m ,f y 1 , ,y m :max d x 1 ,y 1 , ,d x m ,y m , 2.3 where the sup is taken over x 1 , ,x m ,y 1 , ,y m ∈ X such that max d x 1 ,y 1 , ,d x m ,y m > 0, 2.4 is denoted by Lipf and is called the Lipschitz constant of f. A function f : X m → X is called a Lipschitz function if Lipf < ∞ and a Lipschitz contraction if Lipf < 1. A function f : X m → X is said to be a contraction if d f x 1 , ,x m ,f y 1 , ,y m < max d x 1 ,y 1 , ,d x m ,y m , 2.5 for every x 1 ,x 2 , ,x m ,y 1 ,y 2 , ,y m ∈ X, such that x i / y i for some i ∈{1, 2, ,n}. A. Mihail and R. Miculescu 3 LCon m X denotes the set f : X m −→ X : Lipf < 1 2.6 and Con m X denotes the set f : X m −→ X : f is a contraction . 2.7 Remark 2.2. It is obvious that LCon m X ⊆ Con m X. 2.8 Notations. PX denotes the family of all subsets of a given set X and P ∗ X denotes the set PX \{ ∅}. For a subset A of PX,byA ∗ we mean A \{∅} . Given a metric space X, d, KX denotes the set of compact subsets of X and BX denotes the set of closed bounded subsets of X. Remark 2.3. It is obvious that KX ⊆BX ⊆PX. 2.9 Definition 2.4. For a metric space X, d, one considers on P ∗ X thegeneralized Hausdorff- Pompeiu pseudometric h : P ∗ X ×P ∗ X → 0, ∞ defined by hA, Bmax dA, B,dB, A inf r ∈ 0, ∞ : A ⊆ BB, r,B⊆ BA, r , 2.10 where BA, r x ∈ X : dx, A <r , dA, Bsup x∈A dx, Bsup x∈A inf y∈B dx, y . 2.11 Remark 2.5. The Hausdorff-Pompeiu pseudometric is a metric on B ∗ X and, in particular, on K ∗ X. Remark 2.6. The metric spaces B ∗ X,h and K ∗ X,h are complete, provided that X, d is a complete metric space see 2, 7, 12. Moreover, K ∗ X,h is compact, provided that X, d is a compact metric space see 2. The following proposition gives the important properties ofthe Hausdorff-Pompeiu pseudometric see 2, 13. Proposition 2.7. Let X, d X and Y, d Y be two metric spaces. Then i if H and K are two nonempty subsets of X,then hH, Kh H,K ; 2.12 4 FixedPointTheory and Applications ii if H i i∈I and K i i∈I are two families of nonempty subsets of X,then h i∈I H i , i∈I K i ≤ sup i∈I h H i ,K i ; 2.13 iii if H and K are two nonempty subsets of X and f : X → X is a Lipschitz function, then h fK,fH ≤ LipfhK, H. 2.14 Definition 2.8. Let X, d be a complete metric space and let m ∈ N. A generalized iterated function system in short a GIFS on X of order m, denoted by S X, f k k1,n , consists of a finite family of functions f k k1,n ,f k : X m → X such that f 1 , ,f n ∈ Con m X. Definition 2.9. Let f : X m → X be a continuous function. The function F f : K ∗ X m →K ∗ X defined by F f K 1 ,K 2 , ,K m f K 1 × K 2 ×···×K m f x 1 ,x 2 , ,x m : x j ∈ K j , ∀ j ∈{1, ,m} 2.15 is called the set function associated to the function f. Definition 2.10. Given S X, f k k1,n a generalized iterated function system on X of order m, the function F S : K ∗ X m →K ∗ X defined by F S K 1 ,K 2 , ,K m n k1 F f k K 1 ,K 2 , ,K m 2.16 is called the set function associated to S. Lemma 2.11. For a sequence f n n of elements of CX m ,X and f ∈ CX m ,X such that f n u → f and for K 1 ,K 2 , ,K m ∈K ∗ X, one has f n K 1 × K 2 ×···×K m −→ f K 1 × K 2 ×···×K m 2.17 in K ∗ X,h. Proof. Indeed, the conclusion follows from the below inequality: h f n K 1 ×···×K m ,f K 1 ×···×K m ≤ sup x 1 ∈K 1 , ,x m ∈K m d f n x 1 , ,x m ,f x 1 , ,x m , 2.18 which is valid for all n ∈ N. Proposition 2.12. Let X, d X and Y, d Y be two metric spaces and let f n ,f ∈ CX, Y be such that sup n≥1 Lipf n < ∞ and f n s −→ f on a dense set in X. Then Lipf ≤ sup n≥1 Lip f n ,f n u.c −−−→ f. 2.19 A. Mihail and R. Miculescu 5 Proof. Set M : sup n≥1 Lipf n . Let us consider A {x ∈ X | f m x → fx}, which is a dense set in X,letK be a compact set in X,andletε>0. Since f is uniformly continuous on K, there exists δ ∈ 0,ε/3M1 such that if x, y ∈ K and d X x, y <δ,then d Y fx,fy < ε 3 . 2.20 Since K is compact, there exist x 1 ,x 2 , ,x n ∈ K such that K ⊆ n i1 B x i , δ 2 . 2.21 Taking into account the fact that A is dense in X, we can choose y 1 ,y 2 , ,y n ∈ A such that y 1 ∈ Bx 1 ,δ/2, ,y n ∈ Bx n ,δ/2. Since, for all i ∈{1, ,n}, lim m →∞ f m y i fy i , there exists m ε ∈ N such that for every m ∈ N,m≥ m ε , we have d Y f m y i ,f y i < ε 3 , 2.22 for every i ∈{1, ,n}. For x ∈ K, there exists i ∈{1, ,n}, such that x ∈ Bx i ,δ/2 and therefore d X x, y i ≤ d X x, x i d X x i ,y i < δ 2 δ 2 <δ, 2.23 so d Y f y i ,fx < ε 3 . 2.24 Hence, for m ≥ m ε ,wehave d Y f m x,fx ≤ d Y f m x,f m y i d Y f m y i ,f y i d Y f y i ,fx ≤ Md X x, y i ε 3 ε 3 ≤ M ε 3M 1 2ε 3 <ε. 2.25 Consequently, as x was arbitrarily chosen in K,weinferthatf n u → f on K,so f n u·c −−→ f. 2.26 The inequality Lipf ≤ sup n≥1 Lipf n is obvious. From Lemma 2.11 and Proposition 2.12, using Proposition 2.7ii we obtain the follow- ing lemma. Lemma 2.13. Let X, d X be a complete metric space, let m ∈ N,letS j X, f j k k1,n ,wherej ∈ N ∗ , and let S X, f k k1,n be generalized iterated function systems of order m, such that, for all k ∈ {1, ,n},f j k s −→ f k on a dense subset of X m . Then, for every K 1 ,K 2 , ,K m ∈K ∗ X, F S j K 1 ,K 2 , ,K m −→ F S K 1 ,K 2 , ,K m , 2.27 in K ∗ X,h. 6 FixedPointTheory and Applications 3. The existence ofthe attractor of a GIFs for contractions In this section, m is a natural number, X, d is a compact metric space, and S X, f k k1,n is a generalized iterated function system on X of order m. First, we prove that F S : K ∗ X m →K ∗ X is a contraction Proposition 3.1, then, using some results concerning the fixed points of contractions from X m to X Theorem 3.4,weprove the existence ofthe attractor of S Theorem 3.5 and its continuous dependence inthe f k ’s Theorem 3.7. The following proposition is crucial. Proposition 3.1. F S : K ∗ X m →K ∗ X is a contraction. Proof. By Proposition 2.7,wehave h F S K 1 ,K 2 , ,K m ,F S H 1 ,H 2 , ,H m h n k1 f k K 1 × K 2 ×···×K m , n k1 f k H 1 × H 2 ×···×H m h n k1 F f k K 1 ,K 2 , ,K m , n k1 F f k H 1 ,H 2 , ,H m ≤ max h f 1 K 1 ×···×K m ,f 1 H 1 ×···×H m , ,h f n K 1 ×···×K m , f n H 1 ×···×H m ≤ max h H 1 ,K 1 , ,h H m ,K m , 3.1 for all K 1 , ,K m ,H 1 , ,H m ∈K ∗ X. It remains to prove that the above inequality is strict. Let K 1 ,K 2 , ,K m ,H 1 ,H 2 , ,H m ∈K ∗ X be fixed such that K i / H i for some i ∈ {1, 2, ,m}. Since h F S K 1 , ,K m ,F S H 1 , ,H m max d F S K 1 , ,K m ,F S H 1 , ,H m ,d F S H 1 , ,H m ,F S K 1 , ,K m , 3.2 we can suppose, by using symmetry arguments, that h F S K 1 , ,K m ,F S H 1 , ,H m d F S K 1 , ,K m ,F S H 1 , ,H m , 3.3 that is, h n k1 f k K 1 ×···×K m , n k1 f k H 1 ×···×H m d n k1 f k K 1 ×···×K m , n k1 f k H 1 ×···×H m . 3.4 A. Mihail and R. Miculescu 7 LetusnotethatforeveryK 1 ,K 2 , ,K m ∈K ∗ X, since f 1 , ,f n are continuous functions, F S K 1 ,K 2 , ,K m n k1 f j K 1 ,K 2 , ,K m is a compact set. Since for all K 1 ,K 2 , ,K m ,H 1 ,H 2 , ,H m ∈K ∗ X, the product topological space {1, 2, ,n}×× m j1 K j ,where{1, 2, ,n} is endowed with the discrete topology, is compact and the function t : {1, 2, ,n}×× m j1 K j → R, given by t k, x 1 ,x 2 , ,x m d f k x 1 ,x 2 , ,x m ,F S H 1 ,H 2 , ,H m , 3.5 is continuous and d F S K 1 ,K 2 , ,K m ,F S H 1 ,H 2 , ,H m d n k1 f j K 1 ,K 2 , ,K m ,F S H 1 ,H 2 , ,H m sup j,x 1 ,x 2 , ,x m ∈{1,2, ,n}×× m j1 K j d f j x 1 ,x 2 , ,x m ,F S H 1 ,H 2 , ,H m sup j,x 1 ,x 2 , ,x m ∈{1,2, ,n}×× m j1 K j t k, x 1 ,x 2 , ,x m ,F S H 1 ,H 2 , ,H m , 3.6 it follows that there exist k ∈{1, 2, ,n}, x 1 ∈ K 1 , x 2 ∈ K 2 , ,and x m ∈ K m such that d f k x 1 , ,x m ,F S H 1 , ,H m d F S K 1 , ,K m ,F S H 1 , ,H m h F S K 1 , ,K m ,F S H 1 , ,H m . 3.7 Let us also note that since for all k ∈{1, ,n}, the function t k : H k → R, given by t k yd x k ,y , 3.8 is continuous, H k is a compact set, and dx k ,H k inf{dx k ,y : y ∈ H k }, it follows that there exists y k ∈ H k such that d x k , y k d x k ,H k , 3.9 thus d x k , y k d x k ,H k ≤ d K k ,H k ≤ h K k ,H k . 3.10 Now we are able to prove that h F S K 1 ,K 2 , ,K m ,F S H 1 ,H 2 , ,H m < max h H 1 ,K 1 , ,h H m ,K m , 3.11 for all K 1 ,K 2 , ,K m ,H 1 ,H 2 , ,H m ∈K ∗ X such that K i / H i for some i ∈{1, 2, ,m}. 8 FixedPointTheory and Applications Indeed, we have h F S K 1 ,K 2 , ,K m ,F S H 1 ,H 2 , ,H m d f k x 1 , x 2 , ,x m ,F S H 1 ,H 2 , ,H m d f k x 1 , x 2 , ,x m , n k1 f k H 1 × H 2 ×···×H m inf d f k x 1 , ,x m ,f k y 1 , ,y m : k ∈{1, 2, ,n},y 1 ∈ H 1 , ,y m ∈ H m ≤ d f k x 1 , ,x m ,f k y 1 , ,y m . 3.12 If x k y k , for all k ∈{1, 2, ,n},then h F S K 1 ,K 2 , ,K m ,F S H 1 ,H 2 , ,H m 0, 3.13 so the above claim is true. Otherwise, we have h F S K 1 ,K 2 , ,K m ,F S H 1 ,H 2 , ,H m ≤ d f k x 1 , ,x m ,f k y 1 , ,y m < max d x 1 , y k , ,d x m , y m max d x 1 ,H 1 , ,d x m ,H m ≤ max d K 1 ,H 1 , ,d K m ,H m ≤ max h K 1 ,H 1 , ,h K m ,H m , 3.14 for all K 1 ,K 2 , ,K m ,H 1 ,H 2 , ,H m ∈K ∗ X such that K i / H i for some i ∈{1, 2, ,m}. Let us recall the following result. Theorem 3.2. For a contraction f : X → X, there exists a unique α ∈ X such that fαα. For every x 0 ∈ X, the sequence x k k≥0 , defined by x k1 f x k , 3.15 for all k ∈ N, is convergent to α. Moreover, if f j : X → X,wherej ∈ N, are contractions having the fixed points α j , such that f j s −→ f on a dense subset of X,then lim j →∞ α j α. 3.16 Let us mention that the first part of Theorem 3.2 is due to Edelstein see 14. Theorem 3.3. Let f : X → X be a function having the property that there exists p ∈ N ∗ such that f p is a contraction. Then there exists a unique α ∈ X such that fαα and, for any x 0 ∈ X, the sequence x k k≥0 defined by x k1 fx k is convergent to α. A. Mihail and R. Miculescu 9 Proof. It is clear that f p has a unique fixed point α ∈ X and, for every y 0 ∈ X, the sequence y k k≥1 defined by y k1 f p y k is convergent to α. In particular for y j 0 f j x 0 ,wherex 0 ∈ X and j ∈{0, 1, ,p − 1}, the sequence y j n f npj x 0 n≥0 is convergent to α. It follows that the sequence x k k≥0 , defined by x k1 fx k , is convergent to α. Since every fixed pointof f is a fixed pointof f p , it follows that α istheuniquefixed pointof f. Theorem 3.4. Given a contraction f : X m → X, there exists a unique α ∈ X such that fα,α, ,αα. 3.17 For every x 0 ,x 1 , ,x m−1 ∈ X, the sequence x k k≥0 defined by x km f x km−1 ,x km−2 , ,x k , 3.18 for all k ∈ N, is convergent to α. Moreover, if for every j ∈ N,f j : X m → X is a contraction and α j is the unique pointof X having the property that f j α j ,α j , ,α j α j , 3.19 then lim j →∞ α j α, 3.20 provided that f j s −→ f on a dense subset of X m . Proof. Let g : X → X and g j : X → X be the functions defined by gxfx,x, ,x, g j xf j x,x, ,x, 3.21 for every x ∈ X. Then g and g j are contractions. It follows, using Theorem 3.2, that there exist unique α ∈ X and α j ∈ X such that α gαfα,α, ,α, α j g α j f α j ,α j , ,α j , lim j →∞ α j α. 3.22 10 FixedPointTheory and ApplicationsThe function h : X m → X m , given by h x 0 ,x 1 , ,x m−1 x 1 ,x 2 , ,x m−1 ,f x 0 ,x 1 , ,x m−1 x 1 ,x 2 , ,x m−1 ,x m , 3.23 for all x 0 ,x 1 , ,x m−1 ∈ X, fulfills the conditions of Theorem 3.3 taking p m. Therefore, there exists β 1 ,β 2 , ,β m ∈ X m such that h β 1 ,β 2 , ,β m β 1 ,β 2 , ,β m , 3.24 so β 1 β 2 ··· β m f β 1 ,β 2 , ,β m . 3.25 Hence, β 1 β 2 ··· β m α. 3.26 Then, lim l →∞ h l x 0 ,x 1 , ,x m−1 lim l →∞ x l ,x l1 , ,x lm−1 α,α, ,α, 3.27 so we conclude our claim. Using Proposition 3.1, Theorem 3.4 ,andLemma 2.13, we obtain the following two results. Theorem 3.5. Given a generalized iterated function system of order mS X, f k k1,n ,thereexists a unique AS ∈K ∗ X such that F S AS,AS, ,AS AS. 3.28 Moreover, for any H 0 ,H 1 , ,H m−1 ∈K ∗ X, the sequence H n n≥0 , defined by H nm F S H nm−1 ,H nm−2 , ,H n , 3.29 for all n ∈ N, is convergent to AS. Definition 3.6. Let m be a fixed natural number, let X, d be a compact metric space, and let S X, f k k1,n be a generalized iterated function system on X of order m . TheuniquesetAS given by the previous theorem is called the attractor ofthe GIFS S. Theorem 3.7. If S X, f k k1,n and S j X, f j k k1,n ,wherej ∈ N, are GIFS of order m such that, for every k ∈{1, 2, ,n}, f j k s −→ f k on a dense set in X m ,then A S j −→ AS. 3.30 [...]... 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Mathematics, Cambridge University Press, Cambridge, UK, 1986 13 K J Falconer, Fractal Geometry: Mathematical Foundations and Applications , John Wiley & Sons, Chichester, UK, 1990 14 M Edelstein, “On fixed and periodic points under contractive mappings,” Journal ofthe London Mathematical Society, vol 37, pp 74–79, 1962 . Hindawi Publishing Corporation Fixed Point Theory and Applications Volume 2008, Article ID 312876, 11 pages doi:10.1155/2008/312876 Research Article Applications of Fixed Point Theorems in the. autoregressive time series, engineer sciences, physics, and so forth. For applications of IFSs in image processing theory, in the theory of stochastic growth models, and in the theory of random dynamical. 3.1, then, using some results concerning the fixed points of contractions from X m to X Theorem 3.4,weprove the existence of the attractor of S Theorem 3.5 and its continuous dependence in the