A new approach towards characterization of semicompactness of fuzzy topological space and its crisp subsets

Size: px
Start display at page:

Download "A new approach towards characterization of semicompactness of fuzzy topological space and its crisp subsets"

Transcription

1 2013 (2013) 1-6 Avalable onlne at Volume 2013, Year 2013 Artcle ID jfsva-00133, 6 Pages do: /2013/jfsva Research Artcle A new approach towards characterzaton of semcompactness of fuzzy topologcal space and ts crsp subsets Pradp Kumar Gan 1, Ramkrshna Prasad Chakraborty 2, Madhumangal Pal 3 (1) Department of Mathematcs, Kharagpur College, Inda, Kharagpur, Paschm Mednpur , West Bengal, Inda. (2) Department of Mathematcs, Hjl College, Hjl, Kharagpur, Paschm Mednpur , West Bengal, Inda. (3) Department of Appled Mathematcs wth Oceanology and Computer Programmng, Vdyasagar Unversty, Mdnapore , West Bengal, Inda. Copyrght 2013 c Pradp Kumar Gan, Ramkrshna Prasad Chakraborty and Madhumangal Pal. Ths s an open access artcle dstrbuted under the Creatve Commons Attrbuton Lcense, whch permts unrestrcted use, dstrbuton, and reproducton n any medum, provded the orgnal work s properly cted. Abstract It s wdely accepted that one of the most satsfactory generalzaton of the concept of compactness to fuzzy topologcal spaces s α compactness, frst ntroduced by Gantner et al. n 1978, followed by further nvestgatons by many others. Chakraborty et al. ntroduced fuzzy semcompact set and nvestgated and characterzed fuzzy semcompact spaces n terms of fuzzy nets and fuzzy pre f lterbases n In ths paper, we propose to ntroduce a new approach to characterze the noton of α semcompactness n terms of ordnary nets and f lters. Ths paper deals also wth the concept of α semlmt ponts of crsp subsets of a fuzzy topologcal space X and the concept of α semclosed sets n X and these concepts are used to defne and characterze α semcompact crsp subsets of X. Keywords: Fuzzy topologcal spaces, α semcompactness, α semcluster pont of nets and flters, α adherent pont, α semadherent pont, α lmt pont, α semlmt pont, α closure, α semclosure. 1 Introducton The dea of fuzzy set was orgnated from the classcal paper of L.A.Zadeh [18] n Subsequently many researchers have worked on varous basc concepts from general topology usng fuzzy sets and developed the theory of fuzzy topology. In recent years fuzzy topology has been found to be very useful n solvng many practcal problems. The notons of the sets and functons n fuzzy topologcal spaces are used extensvely n many engneerng problems, computatonal topology for geometrc desgn, computer-aded geometrc desgn, engneerng desgn research and mathematcal scences. El-Nasche [8, 9] has shown that the noton of fuzzy topology may be applcable to quantum physcs n connecton wth strng theory and e theory and fuzzy topology may be used to provde nformaton about the elementary partcles content of the standard model of hgh energy physcs. Shhong Du. et al. [5] are currently workng to fuzzfy the 9-ntersecton Egenhofer model [6, 7] for descrbng topologcal relatons n Geographc Informaton System(GIS) query. X.Tang [15] has used a slghtly changed verson of Chang s [2] fuzzy topologcal spaces to model spatal objects for GIS database and Structured Query Language(SQL) for GIS. In-depth analytcal study of fuzzy set theory s stll requred to provde more and more nformaton about any mathematcal system and ts subsystems to the modern scentfc research n the arena of mathematcal scences and physcal scences. The concept of compactness s one of the central and mportant concepts of paramount nterest to topologst and t seems to be the most celebrated type among all the coverng propertes. Its enormous use and potentalty for numerous applcatons nduced mathematcans to generalze Correspondng author. Emal address: mmpalvu@gmal.com Tel:

2 Page 2 of 6 the concept n fuzzy settng. It was Chang [2] who frst ntroduced the concept of compactness n fuzzy topologcal space. Ths attempt has been followed by Goguen [12] who after pontng out a drawback n the defnton of Chang, proved Alexander s subbase theorem, but could establsh Tychonoff theorem only for fnte products. Thereafter, Wong [17], Wess [16] and Lowen [13] treated compactness for fuzzy topologcal spaces n dfferent ways. But t s seen that all those approaches contan many lmtatons. In 1978, Gantner, Stenlage and Warren [10] dd a splendd work towards the process of fuzzfyng the concept of compactness and ntated a new defnton of fuzzy compactness, termed as α compactness, by whch they could assgn degrees to compactness and wth ths defnton they fnally generalzed Tychonoff theorem and even 1 pont compactfcaton. It seems from the subsequent nvestgatons that the theory of α compactness by Gantner et al. [10] s the most satsfactory one. Ths vew has also been endorsed by Malghan and Benchall [14] who also treated α compactness vs-à-vs α per f ect maps n fuzzy topologcal spaces and studed a verson of local α compactness weaker than that of Gantner et al. [10]. Georgou and Papadopoulos [11] dealt wth α compactness usng the noton of fuzzy upper lmt. In a very recent paper Chakraborty et al. [3] ntroduced fuzzy semcompact set and nvestgated and characterzed fuzzy semcompact spaces n terms of fuzzy nets and fuzzy pre f lterbases. In secton 3, we propose to defne and characterze α semcompactness n terms of ordnary nets and f lters. Ths seems to be qute new approach n as much as to our knowledge, n almost none of the theores concernng the nvestgatons of numerous fuzzy topologcal concepts, ordnary nets and f lters have been nvolved so far. In secton 4, we propose to ntroduce α semclosed sets and α semcompactness for crsp subsets of fuzzy topologcal spaces and wll carry on the nvestgaton of α semcompactness n a greater detal. At the same tme, we shall strve to ultmately acheve certan expected results n analogy to those known for semcompact sets vs-à-vs semclosed sets n a topologcal space. 2 Prelmnares Throughout ths paper, by (X,τ) or smply by X we mean a fuzzy topologcal space (henceforth abbrevated as fts.) n Chang s [2] sense and to denote A to be a fuzzy set n X, we shall sometmes wrte A I X, where I = [0,1]. For A,B I X, we wrte A B f A(x) B(x), for each x X. For a fuzzy set A n X, Cl(A), Int(A) and 1 A wll respectvely denote the closure, nteror and complement of A. For a famly ζ = {A α : α Λ} ( here and henceforth also, Λ denotes an ndexng set) of fuzzy sets n X, the unon A α and the ntersecton A α are fuzzy sets defned respectvely by ( A α )(x) = sup{a α (x) : α Λ} and ( A α )(x) = n f {A α (x) : α Λ}, for each x X[18]. 3 α Semcompact Fuzzy Topologcal Spaces We recall from [10] the defnton of α shadng of a fts. Defnton 3.1. Let X be a fts. A collecton ζ I X s called an α shadng of X, where 0 < α < 1, f for each x X there exsts some U x ζ such that U x (x) > α. A subcollecton ζ 0 of an α shadng ζ of X, that s also an α shadng of X, s called an α subshadng of ζ. Remark 3.1. It s clear from the above defnton that a collecton ζ of fuzzy sets n a fts. X s an α shadng ff sup{u(x) : U ζ } > α for each x X. Defnton 3.2. A fts. X s sad to be α semcompact f each α shadng of X by fuzzy semopen sets of X has a fnte α subshadng. The followng defnton s also gven n [10] for an L-fuzzy space, n slghtly dfferent forms. We prefer to ncorporate here, a complete proof of the sad theorem n our settng. Defnton 3.3. [10] A famly {F : Λ} of fuzzy sets n a fts. X s sad to have α fnte ntersecton property (to be abbrevated as α FIP) f for each fnte subset Λ 0 of Λ there s some x X such that n f {F (x) : Λ 0 } 1 α. Theorem 3.1. A fts. X s α semcompact ff for every famly ζ = {F : Λ} of fuzzy semclosed sets n X wth α FIP, there s some x X such that n f {F (x) : Λ} 1 α. Proof. Let X be α semcompact and let ζ = {F : Λ} be a famly of fuzzy semclosed sets n X wth α FIP. If possble, let for each x X, ( F )(x) < 1 α..e, { (1 F )}(x) > α, for each x X. Hence Ω = {1 F : Λ} s an α shadng of X by fuzzy semopen sets. By α semcompactness of X, there exsts a fnte subset Λ 0 of Λ such that,{ (1 F )}(x) > α, for each x X. 0.e,( F )(x) < 1 α, for each x X. Ths mples ζ does not have α FIP, a contradcton. Hence n f {F (x) : Λ} 1 α, 0 for each x X. Conversely, let ζ = {F : Λ} be an α shadng of X by fuzzy semopen sets. That s, ( F ))(x) > α. Then Ω = {1 F : Λ}

3 Page 3 of 6 s a famly of fuzzy semclosed sets such that { (1 F )}(x) < 1 α, for each x X. Then n vew of the hypothess, Ω cannot have α FIP. Thus for a fnte subset Λ 0 of Λ and for each x X, we have {1 ( F )(x)} = { (1 F )}(x) < 1 α, for each 0 0 x X. Ths mples ( F )(x) > α, for each x X. Hence X s α semcompact. 0 We now defne the concept of a sort of cluster ponts of ordnary nets and flters n a fts. and ultmately use them to characterze α semcompactness of a fts. Defnton 3.4. A pont x X s sad to be an α semcluster pont of an ordnary net {S n : n (D, )}, ((D, ) beng any drected set) n a fts. X f for each fuzzy semopen set U wth U(x) > α and for each m D, there exsts a k D such that k m n D and U(S k ) > α. Theorem 3.2. A fts. X s α semcompact ff every ordnary net n X has an α semcluster pont n X. Proof. Let X be α semcompact. If possble, let there be a net {x n : n (D, )} n X havng no α semcluster pont n X. Then for each x X, there exsts a fuzzy semopen set U x wth U x (x) > α and m x D such that U x (x n ) α, for all n m x, (n D). Then Ω = {U x : x X} s a collecton of fuzzy semopen sets such that for any fnte subcollecton {U x1,u x2,u x3,...,u xk } of Ω, there exsts m D such that m m x1,m x2,m x3,...,m xk and ( k U x )(x n ) α, for n m (n D). Ths mples ( k (1 U x ))(x n ) 1 α. Then the collecton Ω = {1 U x : x X} of fuzzy semclosed sets has α FIP. Then by theorem (3.1), there exsts y X such that ( (1 U x ))(y) 1 α, x X..e, ( U x )(y) α, x X..e, U x (y) α, for all U x Ω. In partcular, U y (y) α, x x contradctng the defnton of U y. Hence the gven net n X has an α semcluster pont n X. Conversely, let every net n X has an α semcluster pont n X. Let Ω = {U : Λ} be an arbtrary collecton of fuzzy semclosed sets n X wth α FIP. Let Λ denotes the collecton of all fnte subsets of Λ. Then (Λ, ) s a drected set, where µ,λ Λ, µ λ f µ λ. Let us put F µ = U for each µ Λ. As Ω has α FIP for each µ Λ, there s some x µ (say) n X such that µ nf{u (x µ ) : µ} 1 α. By vrtue of theorem (3.1), X wll be α semcompact f nf{u (z) : Λ} 1 α, for some z X. If possble let nf{u (z) : Λ} < 1 α, for each z X. Now {x µ : µ (Λ, )} s clearly a net n X and hence by hypothess, t has an α semcluster pont y X. Then nf{u (y) : Λ} < 1 α and hence there exsts 0 Λ such that U 0 (y) < 1 α. That s, (1 U 0 )(y) > α. Snce { 0 } Λ, there exsts µ 0 Λ wth µ 0 { 0 } (.e, 0 µ 0 ) such that (1 U 0 )(x µ0 ) > α. Then U 0 (x µ0 ) < 1 α. As 0 µ 0, nf{u (x µ0 )} {U 0 (x µ0 )} < 1 α, a contradcton. Hence nf{u (z) : Λ} 1 α, for some z X. Then by vrtue of theorem (3.1), X s α semcompact. Defnton 3.5. A pont x X, where X s a fts, s sad to be an α semcluster pont of a flter base ζ on X f for each fuzzy semopen set U wth U(x) > α and for each F ζ there exsts x F F such that U(x F ) > α. Theorem 3.3. A fts X s α semcompact ff every flterbase ζ on X has an α semcluster pont n X. Proof. Let be X be α semcompact. Let there exsts, f possble, a flterbase ζ on X havng no α semcluster pont n X. Then for each x X, there exsts a fuzzy semopen set U x wth U x (x) > α and there exsts F x ζ such that U x (y) α for each y F x. Thus Ω = {U x : x X} s an α shadng of X by fuzzy semopen sets of X. By α semcompactness of X, there exsts fntely many ponts x 1,x 2,x 3,...,x n X such that Ω 0 = {U x1,u x2,u x3,...,u xn } s agan an α-shadng of X. Now let F ζ such that F {F x1 F x2 F x3... F xn } [ ζ s flterbase]. Then U x (y) α for each y F and for = 1,2,...,n. Thus Ω 0 fals to be an α shadng of X, a contradcton. Hence every flterbase on X has an α semcluster pont. Conversely, let every flterbase ζ on X has an α semcluster pont n X. If possble let {y n : n (D, )} be a net n X havng no α semcluster pont n X. Then for each x X, there s a fuzzy semopen set U x wth U x (x) > α and there exsts some m x D such that U x (y n ) α for all n m x (n D). Thus B = {F x : x X}, where F x = {y n : n m x }, s a subbase for a flterbase ζ on X, where ζ conssts of all fnte ntersectons of members of B. By hypothess, ζ has an α semcluster pont z X. But there s a fuzzy semopen set U z wth U z (z) > α and there exsts m z D such that U z (y n ) α f or all n m z. That s, for all p F z, where F z B ζ, U z (p) α. Hence z cannot be an α semcluster pont of the flterbase ζ, a contradcton. Hence the net {y n : n (D, )} n X has an α semcluster pont. By theorem (3.2), α semcompactness of X follows. 4 α Semclosed sets, α Semcompact sets In ths secton we ntroduced a class of specal type of crsp subsets of X whch are defned by the fuzzy sets n a fts (X,τ). The ntroduced concept s developed to some extent, whch s used as a supportng tool for our ultmate am of ntroducng and studyng α semcompactness for crsp subsets along wth α semclosedness. We recall from [4] the followng defntons n order to ntroduce our proposed defnton of α semclosed sets.

4 Page 4 of 6 Defnton 4.1. Let (X,τ) be a fts and A X. An element x X s sad to be an α adherent (α lmt) pont of A (0 < α < 1) f for each fuzzy open set U n X wth U(x) > α, there exsts y A (y A \ {x}) such that U(y) > α. The set of all α lmt ponts of A s denoted by A α. Defnton 4.2. A subset C of X s sad to be α closed f t contans all ts α lmt ponts. Defnton 4.3. α-closure of a set A X, denoted by α-cla, s defned as α ClA = A A α. Remark 4.1. Obvously A α ClA and f A α A then α ClA A. A set A X s sad to be α closed ff α ClA = A. Now we defne α semclosed set by defnng α semadherent pont and α semlmt pont of a crsp subset A of a fts. (X,τ). Defnton 4.4. Let (X,τ) be a fts and A X. An element x X s sad to be an α semadherent (α semlmt) pont of A (0 < α < 1) f for each fuzzy semopen set U n X wth U(x) > α, there exsts y A (y A \ {x}) such that U(y) > α. The set of all α semlmt ponts of A wll be denoted by A α slp. Defnton 4.5. A subset C of X s sad to be α semclosed f t contans all ts α semlmt ponts. Defnton 4.6. α semclosure of a set A X, denoted by α SclA, s defned as α SclA = A A α sl p. Remark 4.2. Obvously A α SclA and f A α slp A then α SclA A. A set A X s sad to be α semclosed ff α SclA = A. Lemma 4.1. (a) A B A α slp B α slp and hence α SclA α SclB. (b) α Scl(A B) α SclA α SclB. Proof. (a) Let A X and let x A α slp. Ths mples x s an α semlmt pont of A. That s, for each fuzzy semopen set U n X wth U(x) > α, there exsts y A \ {x} such that U(y) > α. As A B, t follows that y B \ {x}. Therefore, x s an α semlmt pont of B. That s, x B α slp. Hence A α sl p B α sl p. Also α SclA = A A α sl p B B α sl p = α SclB. Hence α SclA α SclB. (b) Proof s obvous Defnton 4.7. [1] Let (X,τ) and (Y,τ 1 ) be two fts. A functon f : (X,τ) (Y,τ 1 ) s sad to be fuzzy semcontnuous f for every fuzzy open set V n τ 1, f 1 (V ) s fuzzy semopen set n X. Theorem 4.1. Let (X,τ) and (Y,τ 1 ) be two fts. If a functon f : (X,τ) (Y,τ 1 ) s fuzzy semcontnuous then f 1 (C) s a α semclosed set n X for every α closed set C n Y. Proof. Let C be a α closed set n Y. Let x X \ f 1 (C). Then f (x) / C [x / f 1 C]. As C s a α closed set n Y, f (x) s not a α lmt pont of C. Then there exsts V τ 1, such that V ( f (x)) > α and V (y) α for all y C [ actually for all y C \ { f (x)}) ]. Snce f s fuzzy semcontnuous, f 1 (V ) s fuzzy semopen set n X. Let z f 1 (C). Then f (z) C. Now f 1 (V )(x) = V ( f (x)) > α and f 1 (V )(z) = V ( f (z)) α for all z f 1 (C). Thus x s not a α semlmt pont of f 1 (C). Hence f 1 (C) s α semclosed set n X. Defnton 4.8. Let (X,τ) and (Y,τ 1 ) be two fts. A functon f : (X,τ) (Y,τ 1 ) s sad to be fuzzy semopen map f for each fuzzy open set A n X, f (A) s fuzzy semopen set n Y. Theorem 4.2. If f : (X,τ) (Y,τ 1 ) be a bjectve fuzzy semopen map, then the mage of a α closed set n X s a α semclosed set n Y. Proof. Let C X be a α closed set n X. Let y Y \ f (C). Then there exsts a unque z X such that f(z) = y [ snce f s bjectve]. As y / f (C), z / C. Now as C s α closed set n X, there exsts fuzzy open set V n τ such that V (z) > α and V (p) α for all p C [actually for all p C \ {z} ]. As f s fuzzy semopen map, we have f (V ) s fuzzy semopen set n Y. Now (V )(y) = V (z) > α. That s, f (V )(y) > α. Let t f (C). Then there exsts t 0 C such that f (t 0 ) = t. As f (V )(t) = V (t 0 ) α for all t 0 C. Therefore, f (V )(t) α for all t f (C) [actually for all t f (C) \ {y}]. So y s not a α semlmt pont of f (C). Hence f (C) s α semclosed set n Y. We now recall from [4] the defnton of α compact (crsp) set. Defnton 4.9. A crsp subset A of a fts. X s sad to be α compact f each α shadng of A by fuzzy open sets of X has fnte α subshadng. We now propose to defne α semcompact subset of a fts. Defnton A crsp subset A of a fts. X s sad to be α semcompact f each α shadng of A by fuzzy semopen sets of X has fnte α-subshadng.

5 Page 5 of 6 Theorem 4.3. A α semclosed subset A of a α semcompact space X s α semcompact. Proof. Let (X,τ) be a α semcompact space and A be a α semclosed subset of X. If x X \ A, then x s not a α semlmt pont of A. So there exsts a fuzzy semopen set U x n X such that U x (x) > α but U x (y) α for all y A [actually for all y A \ {x}]. Let Ω = {U x : x X \ A}. Let S be a α shadng of A by fuzzy semopen sets of X. Let W = Ω S. Clearly W s a α shadng of X by fuzzy semopen sets of X. As X s α semcompact, there exsts a fnte subset {W 1,W 2,W 3,...,W n } of W whch s agan a α shadng of X. Now the subset {W 1,W 2,W 3,...,W n } of W may contan some W whch are members of Ω. If we omt them we get a fnte α subshadng of S by fuzzy semopen sets of X consstng of the remanng members of W. Hence A s α semcompact. Corollary 4.1. Every α semclosed subset A of a α compact space X s α semcompact. Proof. As X s α semcompact, t s α compact. Hence by theorem (4.3), the corollary follows. Defnton A functon f : (X,τ) (Y,τ 1 ) s sad to be α semcontnuous f f 1 (A) s α semclosed set n X for every α closed set A n Y. Remark 4.3. In vew of theorem (4.1) every fuzzy semcontnuous functon s α semcontnuous functon. Theorem 4.4. Let f : (X,τ) (Y,τ 1 ) be a α semcontnuous functon. If A X s α semcompact set n (X,τ) then f (A) s α compact n (Y,τ 1 ). Proof. Let A be a α semcompact set n (X,τ). Let S be a α shadng of f (A) by fuzzy open sets n Y. For x A X, f (x) f (A) and there exsts U f (x) S such that U f (x) ( f (x)) > α. Let z / U 1 f (x) [0,α] then U f (x) S wth U f (x) (z) > α and U f (x) (y) α for all y U 1 [0,α]. Thus z s not a α lmt pont of U 1 [0,α] and hence U 1 [0,α] s α closed n Y. As f : X Y s f (x) f (x) f (x) α semcontnuous, f 1 (U 1 f (x) [0,α]) s α semclosed n X. Clearly x / f 1 (U 1 f (x) [0,α]). Indeed f x f 1 (U 1 [0,α]) then f (x) f (x) U 1 f (x) [0,α] whch mples U f (x)( f (x)) α whch contradcts the fact that U f (x) S [S s α shadng of f (A)]. Let C = U 1 f (x) [0,α], a α closed set n Y. So f 1 (C) s α semclosed set n X and as x / f 1 (C), x s not a α semlmt pont of f 1 (C). So there exsts fuzzy semopen set V x n X such that V x (x) > α and V x (z) α for all z f 1 (C). Now W = {V x : x A}s a α shadng of A by fuzzy semopen sets n X. As A s α semcompact, W has a fnte subset {V x1,v x2,v x3,...,v xn } whch s also a α shadng of A. That s, for every p A, V x (p) > α for some = 1,2,...,n. We clam that {U f (x ) : = 1,2,...,n} s a fnte α subshadng for f (A). Let s f (A), so f(t) = s for some t A. So V x (t) > α for some = 1,2,...,n. As t / f 1 (C), that s, as t / f 1 (U 1 [0,α]), we have f (t) / U 1 f (x ) f (x ) [0,α], whch mples that U f (x )( f (t)) / [0,α]. That s, U f (x )(s) / [0,α]. That s, U f (x )(s) > α. Hence {U f (x ) : = 1,2,...,n} s a fnte α subshadng for f (A) by fuzzy open sets n Y. Hence f (A) s α compact. Corollary 4.2. If f : (X,τ) (Y,τ 1 ) be a fuzzy semcontnuous functon and f A X s α semcompact n X then f(a) s α compact. Proof. Every fuzzy semcontnuous functon s α semcontnuous. So by theorem (4.4) the corollary follows. Theorem 4.5. Let (X,τ) be a fuzzy topologcal space. Then X s α semcompact ff every collecton R of α semclosed sets n X satsfyng the fnte ntersecton property has non-null ntersecton. Proof. Let (X, τ) be α semcompact. If possble, let there exsts a collecton R of α semclosed sets havng fnte ntersecton property but C = ϕ. Then (X \C) = X. Let x X. Then x X \C x for some C x R. Snce C x s α semclosed and x / C x, C R C R we have some fuzzy semopen sets U x n X such that U x (x) > α and U x (z) α for all z C x. Then S = {U x : x X} s an α shadng of X by fuzzy semopen sets n X. As (X,τ) s α semcompact, we have a fnte subcollecton {U x1,u x2,u x3,...,u xn } of S such that for every z X, we have U x (z) > α for some (1 n).thus X = n Ux 1 (α,1] and hence n {X \Ux 1 (α,1]} = ϕ. Let z C x. Then U x (z) α and hence z / Ux 1 Hence n (α,1]. Ths mples z {X \U 1 x (α,1]}. So C x {X \Ux 1 (α,1]}. C x = ϕ goes aganst the fnte ntersecton propety of R. Conversely, let S be an α shadng of X by fuzzy semopen sets n X. Let U α = {x X : U(x) α,u S}. If y / U α then U(y) > α. So we get a fuzzy semopen set U such that U(y) > α and U(z) α for every z U α. So y s not a α semlmt pont of U α. Hence U α s α semclosed set for each U S. Let R = {U α : U S}. Then R s a collecton of α semclosed sets. As S s a α shadng of X by fuzzy semopen sets of X, we have for each x X, there exsts V S such that V (x) > α. Hence x / V α for some V S. So U α = ϕ. Now by hypothess R does not satsfy the fnte ntersecton property. So there exsts a fnte subcollecton S 0 of U S S such that U α = ϕ. So for every x X there exsts U S 0 such that x / U α and hence U(x) > α. Thus X s α semcompact. U S 0

6 Page 6 of 6 5 Concluson The notons of the sets and functons n fuzzy topologcal spaces are hghly developed and several characterzatons have already been obtaned. These are used extensvely n many practcal and engneerng problems, computatonal topology for geometrc desgn, computer-aded geometrc desgn, engneerng desgn research, Geographc Informaton System (GIS) and mathematcal scences. As the concept of compactness of a fuzzy topologcal space and ts fuzzy subsets as well as ts crsp subsets s one of the central and mportant concepts, the notons and results gven n ths paper may lead to some nterestng n-depth analytcal study and research from the vew pont of fuzzy mathematcs. 6 Acknowledgement The frst author s thankful to the Unversty Grants Commsson, New Delh, Inda, for sponsorng ths work under the grant of Mnor Research Project scheme. References [1] K. K. Azad, On fuzzy semcontnuty, fuzzy almost contnuty and Fuzzy weakly Contnuty, J.Math. Anal. Appl, 82 (1981) [2] C. L. Chang, Fuzzy topologcal spaces, J.Math. Anal. Appl, 24 (1968) [3] R. P. Chakraborty, Anjana Bhattacharyya, M. N. Mukherjee, Semcompactness n fuzzy topologcal spaces, Bull. Malayasan Math Soc, (2) 28 (2005) [4] R. P. Chakraborty, On some problems assocated wth fuzzy topology, Ph.D. Dssertaton, Unv. of Cal, (2001). [5] S. Du, Q. Qn, Q. Wang, B. Lj, Fuzzy descrpton of topologcal relatons I: a unfed fuzzy 9-ntersecton model, Lecture Notes n comp. Sc,3612 (2005) [6] M. J. Egenhofer, J. Herrng, Categorzng bnary topologcal relatons between regons, lnes and ponts n geographc database, Tech, Report, Dept. Surveyng Engneerng, Unv. of Mane, orono, ME, (199)1. [7] M. J. Egenhofer, R. Franzosa, Pont-set topologcal spatal relatons, Int I J. Geo. Info. Sys, 3 (1991) [8] M. S. El-Nasche, On the uncertanty of cantoran geometry and the two-slt Experment, Chaos, Soltons and fractrals, 9(3) (1998) [9] M. S. El-Nasche, On the certfcaton of heterotc strngs, M theory and e theory, Chaos, Soltons and fractrals, (2000) [10] T. E. Gantner, R. C. Stenlage, R. H. Warren, Compactness n fuzzy topologcal spaces, J.Math. Anal. Appl, 62 (1978) [11] D. N. Georgou, B. K. Papadopoulos, On fuzzy compactness, J.Math. Anal. Appl, 233 (1999) [12] J. A. Goguen, The fuzzy Tychonoff theorem, J.Math. Anal. Appl, 43 (1973) [13] R. Lowen, Topologcal floues, C.R.Acad. Sc. Pars, 278 (1974) [14] S. R. Malghan, S. S. Benchall, Open maps, closed maps and local compactness, J.Math. Anal. Appl, 99 (1984) [15] X. Tang, Spatal object modelng n fuzzy topologcal spaces wth applcaton to land cover change n Chna, Ph.D Dssertaton, ITC Dssertaton no. 108, Unv. of Twenty, the Netherlands, (2004). [16] M. D. Wess, Fxed ponts, separaton and nduced topologes for fuzzy sets, J.Math. Anal. Appl, 50 (1975) [17] C. K. Wong, Fuzzy topology: product and quotent theorems,j.math. Anal. Appl, 45 (1974) [18] L. A. Zadeh, Fuzzy sets, Inform. Control, 8 (1965),

Semicompactness in Fuzzy Topological Spaces

Semicompactness in Fuzzy Topological Spaces BULLETIN of the Malaysan Mathematcal Scences Socety http://math.usm.my/bulletn Bull. Malays. Math. Sc. Soc. (2) 28(2) (2005), 205 23 Semcompactness n Fuzzy Topologcal Spaces R.P. Chakraborty, Anjana Bhattacharyya

More information

The Order Relation and Trace Inequalities for. Hermitian Operators

The Order Relation and Trace Inequalities for. Hermitian Operators Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence

More information

Research Article Relative Smooth Topological Spaces

Research Article Relative Smooth Topological Spaces Advances n Fuzzy Systems Volume 2009, Artcle ID 172917, 5 pages do:10.1155/2009/172917 Research Artcle Relatve Smooth Topologcal Spaces B. Ghazanfar Department of Mathematcs, Faculty of Scence, Lorestan

More information

More metrics on cartesian products

More metrics on cartesian products More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of

More information

Case Study of Markov Chains Ray-Knight Compactification

Case Study of Markov Chains Ray-Knight Compactification Internatonal Journal of Contemporary Mathematcal Scences Vol. 9, 24, no. 6, 753-76 HIKAI Ltd, www.m-har.com http://dx.do.org/.2988/cms.24.46 Case Study of Marov Chans ay-knght Compactfcaton HaXa Du and

More information

Volume 18 Figure 1. Notation 1. Notation 2. Observation 1. Remark 1. Remark 2. Remark 3. Remark 4. Remark 5. Remark 6. Theorem A [2]. Theorem B [2].

Volume 18 Figure 1. Notation 1. Notation 2. Observation 1. Remark 1. Remark 2. Remark 3. Remark 4. Remark 5. Remark 6. Theorem A [2]. Theorem B [2]. Bulletn of Mathematcal Scences and Applcatons Submtted: 016-04-07 ISSN: 78-9634, Vol. 18, pp 1-10 Revsed: 016-09-08 do:10.1805/www.scpress.com/bmsa.18.1 Accepted: 016-10-13 017 ScPress Ltd., Swtzerland

More information

Affine transformations and convexity

Affine transformations and convexity Affne transformatons and convexty The purpose of ths document s to prove some basc propertes of affne transformatons nvolvng convex sets. Here are a few onlne references for background nformaton: http://math.ucr.edu/

More information

Double Layered Fuzzy Planar Graph

Double Layered Fuzzy Planar Graph Global Journal of Pure and Appled Mathematcs. ISSN 0973-768 Volume 3, Number 0 07), pp. 7365-7376 Research Inda Publcatons http://www.rpublcaton.com Double Layered Fuzzy Planar Graph J. Jon Arockaraj Assstant

More information

On the smoothness and the totally strong properties for nearness frames

On the smoothness and the totally strong properties for nearness frames Int. Sc. Technol. J. Namba Vol 1, Issue 1, 2013 On the smoothness and the totally strong propertes for nearness frames Martn. M. Mugoch Department of Mathematcs, Unversty of Namba 340 Mandume Ndemufayo

More information

اولت ارص من نوع -c. الخلاصة رنا بهجت اسماعیل مجلة ابن الهیثم للعلوم الصرفة والتطبیقیة المجلد 22 (3) 2009

اولت ارص من نوع -c. الخلاصة رنا بهجت اسماعیل مجلة ابن الهیثم للعلوم الصرفة والتطبیقیة المجلد 22 (3) 2009 مجلة ابن الهیثم للعلوم الصرفة والتطبیقیة المجلد 22 (3) 2009 الت ارص من نوع -C- - جامعة بغداد رنا بهجت اسماعیل قسم الریاضیات - كلیة التربیة- ابن الهیثم الخلاصة قمنا في هذا البحث بتعریف نوع جدید من الت ارص

More information

The Jacobsthal and Jacobsthal-Lucas Numbers via Square Roots of Matrices

The Jacobsthal and Jacobsthal-Lucas Numbers via Square Roots of Matrices Internatonal Mathematcal Forum, Vol 11, 2016, no 11, 513-520 HIKARI Ltd, wwwm-hkarcom http://dxdoorg/1012988/mf20166442 The Jacobsthal and Jacobsthal-Lucas Numbers va Square Roots of Matrces Saadet Arslan

More information

arxiv: v1 [math.co] 1 Mar 2014

arxiv: v1 [math.co] 1 Mar 2014 Unon-ntersectng set systems Gyula O.H. Katona and Dánel T. Nagy March 4, 014 arxv:1403.0088v1 [math.co] 1 Mar 014 Abstract Three ntersecton theorems are proved. Frst, we determne the sze of the largest

More information

Asymptotics of the Solution of a Boundary Value. Problem for One-Characteristic Differential. Equation Degenerating into a Parabolic Equation

Asymptotics of the Solution of a Boundary Value. Problem for One-Characteristic Differential. Equation Degenerating into a Parabolic Equation Nonl. Analyss and Dfferental Equatons, ol., 4, no., 5 - HIKARI Ltd, www.m-har.com http://dx.do.org/.988/nade.4.456 Asymptotcs of the Soluton of a Boundary alue Problem for One-Characterstc Dfferental Equaton

More information

CHAPTER-5 INFORMATION MEASURE OF FUZZY MATRIX AND FUZZY BINARY RELATION

CHAPTER-5 INFORMATION MEASURE OF FUZZY MATRIX AND FUZZY BINARY RELATION CAPTER- INFORMATION MEASURE OF FUZZY MATRI AN FUZZY BINARY RELATION Introducton The basc concept of the fuzz matr theor s ver smple and can be appled to socal and natural stuatons A branch of fuzz matr

More information

FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP

FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP C O L L O Q U I U M M A T H E M A T I C U M VOL. 80 1999 NO. 1 FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP BY FLORIAN K A I N R A T H (GRAZ) Abstract. Let H be a Krull monod wth nfnte class

More information

MAT 578 Functional Analysis

MAT 578 Functional Analysis MAT 578 Functonal Analyss John Qugg Fall 2008 Locally convex spaces revsed September 6, 2008 Ths secton establshes the fundamental propertes of locally convex spaces. Acknowledgment: although I wrote these

More information

SUPER PRINCIPAL FIBER BUNDLE WITH SUPER ACTION

SUPER PRINCIPAL FIBER BUNDLE WITH SUPER ACTION talan journal of pure appled mathematcs n. 33 2014 (63 70) 63 SUPER PRINCIPAL FIBER BUNDLE WITH SUPER ACTION M.R. Farhangdoost Department of Mathematcs College of Scences Shraz Unversty Shraz, 71457-44776

More information

International Journal of Algebra, Vol. 8, 2014, no. 5, HIKARI Ltd,

International Journal of Algebra, Vol. 8, 2014, no. 5, HIKARI Ltd, Internatonal Journal of Algebra, Vol. 8, 2014, no. 5, 229-238 HIKARI Ltd, www.m-hkar.com http://dx.do.org/10.12988/ja.2014.4212 On P-Duo odules Inaam ohammed Al Had Department of athematcs College of Educaton

More information

20. Mon, Oct. 13 What we have done so far corresponds roughly to Chapters 2 & 3 of Lee. Now we turn to Chapter 4. The first idea is connectedness.

20. Mon, Oct. 13 What we have done so far corresponds roughly to Chapters 2 & 3 of Lee. Now we turn to Chapter 4. The first idea is connectedness. 20. Mon, Oct. 13 What we have done so far corresponds roughly to Chapters 2 & 3 of Lee. Now we turn to Chapter 4. The frst dea s connectedness. Essentally, we want to say that a space cannot be decomposed

More information

princeton univ. F 17 cos 521: Advanced Algorithm Design Lecture 7: LP Duality Lecturer: Matt Weinberg

princeton univ. F 17 cos 521: Advanced Algorithm Design Lecture 7: LP Duality Lecturer: Matt Weinberg prnceton unv. F 17 cos 521: Advanced Algorthm Desgn Lecture 7: LP Dualty Lecturer: Matt Wenberg Scrbe: LP Dualty s an extremely useful tool for analyzng structural propertes of lnear programs. Whle there

More information

Linear, affine, and convex sets and hulls In the sequel, unless otherwise specified, X will denote a real vector space.

Linear, affine, and convex sets and hulls In the sequel, unless otherwise specified, X will denote a real vector space. Lnear, affne, and convex sets and hulls In the sequel, unless otherwse specfed, X wll denote a real vector space. Lnes and segments. Gven two ponts x, y X, we defne xy = {x + t(y x) : t R} = {(1 t)x +

More information

Genericity of Critical Types

Genericity of Critical Types Genercty of Crtcal Types Y-Chun Chen Alfredo D Tllo Eduardo Fangold Syang Xong September 2008 Abstract Ely and Pesk 2008 offers an nsghtful characterzaton of crtcal types: a type s crtcal f and only f

More information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

More information

Intuitionistic Fuzzy G δ -e-locally Continuous and Irresolute Functions

Intuitionistic Fuzzy G δ -e-locally Continuous and Irresolute Functions Intern J Fuzzy Mathematcal rchve Vol 14, No 2, 2017, 313-325 ISSN 2320 3242 (P), 2320 3250 (onlne) Publshed on 11 December 2017 wwwresearchmathscorg DOI http//dxdoorg/1022457/jmav14n2a14 Internatonal Journal

More information

On Tiling for Some Types of Manifolds. and their Folding

On Tiling for Some Types of Manifolds. and their Folding Appled Mathematcal Scences, Vol. 3, 009, no. 6, 75-84 On Tlng for Some Types of Manfolds and ther Foldng H. Rafat Mathematcs Department, Faculty of Scence Tanta Unversty, Tanta Egypt hshamrafat005@yahoo.com

More information

On Similarity Measures of Fuzzy Soft Sets

On Similarity Measures of Fuzzy Soft Sets Int J Advance Soft Comput Appl, Vol 3, No, July ISSN 74-853; Copyrght ICSRS Publcaton, www-csrsorg On Smlarty Measures of uzzy Soft Sets PINAKI MAJUMDAR* and SKSAMANTA Department of Mathematcs MUC Women

More information

Counterexamples to the Connectivity Conjecture of the Mixed Cells

Counterexamples to the Connectivity Conjecture of the Mixed Cells Dscrete Comput Geom 2:55 52 998 Dscrete & Computatonal Geometry 998 Sprnger-Verlag New York Inc. Counterexamples to the Connectvty Conjecture of the Mxed Cells T. Y. L and X. Wang 2 Department of Mathematcs

More information

On wgrα-continuous Functions in Topological Spaces

On wgrα-continuous Functions in Topological Spaces Vol.3, Issue.2, March-Aprl. 2013 pp-857-863 ISSN: 2249-6645 On wgrα-contnuous Functons n Topologcal Spaces A.Jayalakshm, 1 C.Janak 2 1 Department of Mathematcs, Sree Narayana Guru College, Combatore, TN,

More information

A CLASS OF RECURSIVE SETS. Florentin Smarandache University of New Mexico 200 College Road Gallup, NM 87301, USA

A CLASS OF RECURSIVE SETS. Florentin Smarandache University of New Mexico 200 College Road Gallup, NM 87301, USA A CLASS OF RECURSIVE SETS Florentn Smarandache Unversty of New Mexco 200 College Road Gallup, NM 87301, USA E-mal: smarand@unmedu In ths artcle one bulds a class of recursve sets, one establshes propertes

More information

On quasiperfect numbers

On quasiperfect numbers Notes on Number Theory and Dscrete Mathematcs Prnt ISSN 1310 5132, Onlne ISSN 2367 8275 Vol. 23, 2017, No. 3, 73 78 On quasperfect numbers V. Sva Rama Prasad 1 and C. Suntha 2 1 Nalla Malla Reddy Engneerng

More information

Perfect Competition and the Nash Bargaining Solution

Perfect Competition and the Nash Bargaining Solution Perfect Competton and the Nash Barganng Soluton Renhard John Department of Economcs Unversty of Bonn Adenauerallee 24-42 53113 Bonn, Germany emal: rohn@un-bonn.de May 2005 Abstract For a lnear exchange

More information

On the spectral norm of r-circulant matrices with the Pell and Pell-Lucas numbers

On the spectral norm of r-circulant matrices with the Pell and Pell-Lucas numbers Türkmen and Gökbaş Journal of Inequaltes and Applcatons (06) 06:65 DOI 086/s3660-06-0997-0 R E S E A R C H Open Access On the spectral norm of r-crculant matrces wth the Pell and Pell-Lucas numbers Ramazan

More information

A new Approach for Solving Linear Ordinary Differential Equations

A new Approach for Solving Linear Ordinary Differential Equations , ISSN 974-57X (Onlne), ISSN 974-5718 (Prnt), Vol. ; Issue No. 1; Year 14, Copyrght 13-14 by CESER PUBLICATIONS A new Approach for Solvng Lnear Ordnary Dfferental Equatons Fawz Abdelwahd Department of

More information

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number

More information

A CHARACTERIZATION OF ADDITIVE DERIVATIONS ON VON NEUMANN ALGEBRAS

A CHARACTERIZATION OF ADDITIVE DERIVATIONS ON VON NEUMANN ALGEBRAS Journal of Mathematcal Scences: Advances and Applcatons Volume 25, 2014, Pages 1-12 A CHARACTERIZATION OF ADDITIVE DERIVATIONS ON VON NEUMANN ALGEBRAS JIA JI, WEN ZHANG and XIAOFEI QI Department of Mathematcs

More information

General viscosity iterative method for a sequence of quasi-nonexpansive mappings

General viscosity iterative method for a sequence of quasi-nonexpansive mappings Avalable onlne at www.tjnsa.com J. Nonlnear Sc. Appl. 9 (2016), 5672 5682 Research Artcle General vscosty teratve method for a sequence of quas-nonexpansve mappngs Cuje Zhang, Ynan Wang College of Scence,

More information

Smooth Neutrosophic Topological Spaces

Smooth Neutrosophic Topological Spaces 65 Unversty of New Mexco Smooth Neutrosophc opologcal Spaces M. K. EL Gayyar Physcs and Mathematcal Engneerng Dept., aculty of Engneerng, Port-Sad Unversty, Egypt.- mohamedelgayyar@hotmal.com Abstract.

More information

THE RING AND ALGEBRA OF INTUITIONISTIC SETS

THE RING AND ALGEBRA OF INTUITIONISTIC SETS Hacettepe Journal of Mathematcs and Statstcs Volume 401 2011, 21 26 THE RING AND ALGEBRA OF INTUITIONISTIC SETS Alattn Ural Receved 01:08 :2009 : Accepted 19 :03 :2010 Abstract The am of ths study s to

More information

THE WEIGHTED WEAK TYPE INEQUALITY FOR THE STRONG MAXIMAL FUNCTION

THE WEIGHTED WEAK TYPE INEQUALITY FOR THE STRONG MAXIMAL FUNCTION THE WEIGHTED WEAK TYPE INEQUALITY FO THE STONG MAXIMAL FUNCTION THEMIS MITSIS Abstract. We prove the natural Fefferman-Sten weak type nequalty for the strong maxmal functon n the plane, under the assumpton

More information

Existence results for a fourth order multipoint boundary value problem at resonance

Existence results for a fourth order multipoint boundary value problem at resonance Avalable onlne at www.scencedrect.com ScenceDrect Journal of the Ngeran Mathematcal Socety xx (xxxx) xxx xxx www.elsever.com/locate/jnnms Exstence results for a fourth order multpont boundary value problem

More information

Voting Games with Positive Weights and. Dummy Players: Facts and Theory

Voting Games with Positive Weights and. Dummy Players: Facts and Theory Appled Mathematcal Scences, Vol 10, 2016, no 53, 2637-2646 HIKARI Ltd, wwwm-hkarcom http://dxdoorg/1012988/ams201667209 Votng Games wth Postve Weghts and Dummy Players: Facts and Theory Zdravko Dmtrov

More information

STEINHAUS PROPERTY IN BANACH LATTICES

STEINHAUS PROPERTY IN BANACH LATTICES DEPARTMENT OF MATHEMATICS TECHNICAL REPORT STEINHAUS PROPERTY IN BANACH LATTICES DAMIAN KUBIAK AND DAVID TIDWELL SPRING 2015 No. 2015-1 TENNESSEE TECHNOLOGICAL UNIVERSITY Cookevlle, TN 38505 STEINHAUS

More information

Valuated Binary Tree: A New Approach in Study of Integers

Valuated Binary Tree: A New Approach in Study of Integers Internatonal Journal of Scentfc Innovatve Mathematcal Research (IJSIMR) Volume 4, Issue 3, March 6, PP 63-67 ISS 347-37X (Prnt) & ISS 347-34 (Onlne) wwwarcournalsorg Valuated Bnary Tree: A ew Approach

More information

Every planar graph is 4-colourable a proof without computer

Every planar graph is 4-colourable a proof without computer Peter Dörre Department of Informatcs and Natural Scences Fachhochschule Südwestfalen (Unversty of Appled Scences) Frauenstuhlweg 31, D-58644 Iserlohn, Germany Emal: doerre(at)fh-swf.de Mathematcs Subject

More information

arxiv: v1 [math.co] 12 Sep 2014

arxiv: v1 [math.co] 12 Sep 2014 arxv:1409.3707v1 [math.co] 12 Sep 2014 On the bnomal sums of Horadam sequence Nazmye Ylmaz and Necat Taskara Department of Mathematcs, Scence Faculty, Selcuk Unversty, 42075, Campus, Konya, Turkey March

More information

Representation theory and quantum mechanics tutorial Representation theory and quantum conservation laws

Representation theory and quantum mechanics tutorial Representation theory and quantum conservation laws Representaton theory and quantum mechancs tutoral Representaton theory and quantum conservaton laws Justn Campbell August 1, 2017 1 Generaltes on representaton theory 1.1 Let G GL m (R) be a real algebrac

More information

A note on almost sure behavior of randomly weighted sums of φ-mixing random variables with φ-mixing weights

A note on almost sure behavior of randomly weighted sums of φ-mixing random variables with φ-mixing weights ACTA ET COMMENTATIONES UNIVERSITATIS TARTUENSIS DE MATHEMATICA Volume 7, Number 2, December 203 Avalable onlne at http://acutm.math.ut.ee A note on almost sure behavor of randomly weghted sums of φ-mxng

More information

Regular product vague graphs and product vague line graphs

Regular product vague graphs and product vague line graphs APPLIED & INTERDISCIPLINARY MATHEMATICS RESEARCH ARTICLE Regular product vague graphs and product vague lne graphs Ganesh Ghora 1 * and Madhumangal Pal 1 Receved: 26 December 2015 Accepted: 08 July 2016

More information

Appendix B. Criterion of Riemann-Stieltjes Integrability

Appendix B. Criterion of Riemann-Stieltjes Integrability Appendx B. Crteron of Remann-Steltes Integrablty Ths note s complementary to [R, Ch. 6] and [T, Sec. 3.5]. The man result of ths note s Theorem B.3, whch provdes the necessary and suffcent condtons for

More information

Perron Vectors of an Irreducible Nonnegative Interval Matrix

Perron Vectors of an Irreducible Nonnegative Interval Matrix Perron Vectors of an Irreducble Nonnegatve Interval Matrx Jr Rohn August 4 2005 Abstract As s well known an rreducble nonnegatve matrx possesses a unquely determned Perron vector. As the man result of

More information

SPECTRAL PROPERTIES OF IMAGE MEASURES UNDER THE INFINITE CONFLICT INTERACTION

SPECTRAL PROPERTIES OF IMAGE MEASURES UNDER THE INFINITE CONFLICT INTERACTION SPECTRAL PROPERTIES OF IMAGE MEASURES UNDER THE INFINITE CONFLICT INTERACTION SERGIO ALBEVERIO 1,2,3,4, VOLODYMYR KOSHMANENKO 5, MYKOLA PRATSIOVYTYI 6, GRYGORIY TORBIN 7 Abstract. We ntroduce the conflct

More information

Geometry of Müntz Spaces

Geometry of Müntz Spaces WDS'12 Proceedngs of Contrbuted Papers, Part I, 31 35, 212. ISBN 978-8-7378-224-5 MATFYZPRESS Geometry of Müntz Spaces P. Petráček Charles Unversty, Faculty of Mathematcs and Physcs, Prague, Czech Republc.

More information

The binomial transforms of the generalized (s, t )-Jacobsthal matrix sequence

The binomial transforms of the generalized (s, t )-Jacobsthal matrix sequence Int. J. Adv. Appl. Math. and Mech. 6(3 (2019 14 20 (ISSN: 2347-2529 Journal homepage: www.jaamm.com IJAAMM Internatonal Journal of Advances n Appled Mathematcs and Mechancs The bnomal transforms of the

More information

On C 0 multi-contractions having a regular dilation

On C 0 multi-contractions having a regular dilation SUDIA MAHEMAICA 170 (3) (2005) On C 0 mult-contractons havng a regular dlaton by Dan Popovc (mşoara) Abstract. Commutng mult-contractons of class C 0 and havng a regular sometrc dlaton are studed. We prove

More information

Comparison of the Population Variance Estimators. of 2-Parameter Exponential Distribution Based on. Multiple Criteria Decision Making Method

Comparison of the Population Variance Estimators. of 2-Parameter Exponential Distribution Based on. Multiple Criteria Decision Making Method Appled Mathematcal Scences, Vol. 7, 0, no. 47, 07-0 HIARI Ltd, www.m-hkar.com Comparson of the Populaton Varance Estmators of -Parameter Exponental Dstrbuton Based on Multple Crtera Decson Makng Method

More information

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION Advanced Mathematcal Models & Applcatons Vol.3, No.3, 2018, pp.215-222 ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EUATION

More information

Power law and dimension of the maximum value for belief distribution with the max Deng entropy

Power law and dimension of the maximum value for belief distribution with the max Deng entropy Power law and dmenson of the maxmum value for belef dstrbuton wth the max Deng entropy Bngy Kang a, a College of Informaton Engneerng, Northwest A&F Unversty, Yanglng, Shaanx, 712100, Chna. Abstract Deng

More information

Subset Topological Spaces and Kakutani s Theorem

Subset Topological Spaces and Kakutani s Theorem MOD Natural Neutrosophc Subset Topologcal Spaces and Kakutan s Theorem W. B. Vasantha Kandasamy lanthenral K Florentn Smarandache 1 Copyrght 1 by EuropaNova ASBL and the Authors Ths book can be ordered

More information

FREQUENCY DISTRIBUTIONS Page 1 of The idea of a frequency distribution for sets of observations will be introduced,

FREQUENCY DISTRIBUTIONS Page 1 of The idea of a frequency distribution for sets of observations will be introduced, FREQUENCY DISTRIBUTIONS Page 1 of 6 I. Introducton 1. The dea of a frequency dstrbuton for sets of observatons wll be ntroduced, together wth some of the mechancs for constructng dstrbutons of data. Then

More information

Complement of Type-2 Fuzzy Shortest Path Using Possibility Measure

Complement of Type-2 Fuzzy Shortest Path Using Possibility Measure Intern. J. Fuzzy Mathematcal rchve Vol. 5, No., 04, 9-7 ISSN: 30 34 (P, 30 350 (onlne Publshed on 5 November 04 www.researchmathsc.org Internatonal Journal of Complement of Type- Fuzzy Shortest Path Usng

More information

Quantum Particle Motion in Physical Space

Quantum Particle Motion in Physical Space Adv. Studes Theor. Phys., Vol. 8, 014, no. 1, 7-34 HIKARI Ltd, www.-hkar.co http://dx.do.org/10.1988/astp.014.311136 Quantu Partcle Moton n Physcal Space A. Yu. Saarn Dept. of Physcs, Saara State Techncal

More information

Amusing Properties of Odd Numbers Derived From Valuated Binary Tree

Amusing Properties of Odd Numbers Derived From Valuated Binary Tree IOSR Journal of Mathematcs (IOSR-JM) e-iss: 78-578, p-iss: 19-765X. Volume 1, Issue 6 Ver. V (ov. - Dec.016), PP 5-57 www.osrjournals.org Amusng Propertes of Odd umbers Derved From Valuated Bnary Tree

More information

Weakly continuous functions on mixed fuzzy topological spaces

Weakly continuous functions on mixed fuzzy topological spaces cta Scentarum http://wwwuembr/acta ISSN prnted: 806-563 ISSN on-lne: 807-8664 Do: 0405/actasctechnolv3664 Weakly contnuous functons on mxed fuzzy topologcal spaces Bnod Chandra Trpathy and Gautam Chandra

More information

Another converse of Jensen s inequality

Another converse of Jensen s inequality Another converse of Jensen s nequalty Slavko Smc Abstract. We gve the best possble global bounds for a form of dscrete Jensen s nequalty. By some examples ts frutfulness s shown. 1. Introducton Throughout

More information

Separation Axioms of Fuzzy Bitopological Spaces

Separation Axioms of Fuzzy Bitopological Spaces IJCSNS Internatonal Journal of Computer Scence and Network Securty VOL3 No October 3 Separaton Axom of Fuzzy Btopologcal Space Hong Wang College of Scence Southwet Unverty of Scence and Technology Manyang

More information

Sharp integral inequalities involving high-order partial derivatives. Journal Of Inequalities And Applications, 2008, v. 2008, article no.

Sharp integral inequalities involving high-order partial derivatives. Journal Of Inequalities And Applications, 2008, v. 2008, article no. Ttle Sharp ntegral nequaltes nvolvng hgh-order partal dervatves Authors Zhao, CJ; Cheung, WS Ctaton Journal Of Inequaltes And Applcatons, 008, v. 008, artcle no. 5747 Issued Date 008 URL http://hdl.handle.net/07/569

More information

Convexity preserving interpolation by splines of arbitrary degree

Convexity preserving interpolation by splines of arbitrary degree Computer Scence Journal of Moldova, vol.18, no.1(52), 2010 Convexty preservng nterpolaton by splnes of arbtrary degree Igor Verlan Abstract In the present paper an algorthm of C 2 nterpolaton of dscrete

More information

APPLICATIONS OF SEMIGENERALIZED -CLOSED SETS

APPLICATIONS OF SEMIGENERALIZED -CLOSED SETS Intenatonal Jounal of Mathematcal Engneeng Scence ISSN : 22776982 Volume Issue 4 (Apl 202) http://www.mes.com/ https://stes.google.com/ste/mesounal/ APPLICATIONS OF SEMIGENERALIZED CLOSED SETS G.SHANMUGAM,

More information

COMPLEX NUMBERS AND QUADRATIC EQUATIONS

COMPLEX NUMBERS AND QUADRATIC EQUATIONS COMPLEX NUMBERS AND QUADRATIC EQUATIONS INTRODUCTION We know that x 0 for all x R e the square of a real number (whether postve, negatve or ero) s non-negatve Hence the equatons x, x, x + 7 0 etc are not

More information

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

The L(2, 1)-Labeling on -Product of Graphs

The L(2, 1)-Labeling on -Product of Graphs Annals of Pure and Appled Mathematcs Vol 0, No, 05, 9-39 ISSN: 79-087X (P, 79-0888(onlne Publshed on 7 Aprl 05 wwwresearchmathscorg Annals of The L(, -Labelng on -Product of Graphs P Pradhan and Kamesh

More information

DIFFERENTIAL FORMS BRIAN OSSERMAN

DIFFERENTIAL FORMS BRIAN OSSERMAN DIFFERENTIAL FORMS BRIAN OSSERMAN Dfferentals are an mportant topc n algebrac geometry, allowng the use of some classcal geometrc arguments n the context of varetes over any feld. We wll use them to defne

More information

The Quadratic Trigonometric Bézier Curve with Single Shape Parameter

The Quadratic Trigonometric Bézier Curve with Single Shape Parameter J. Basc. Appl. Sc. Res., (3541-546, 01 01, TextRoad Publcaton ISSN 090-4304 Journal of Basc and Appled Scentfc Research www.textroad.com The Quadratc Trgonometrc Bézer Curve wth Sngle Shape Parameter Uzma

More information

Foundations of Arithmetic

Foundations of Arithmetic Foundatons of Arthmetc Notaton We shall denote the sum and product of numbers n the usual notaton as a 2 + a 2 + a 3 + + a = a, a 1 a 2 a 3 a = a The notaton a b means a dvdes b,.e. ac = b where c s an

More information

Week 2. This week, we covered operations on sets and cardinality.

Week 2. This week, we covered operations on sets and cardinality. Week 2 Ths week, we covered operatons on sets and cardnalty. Defnton 0.1 (Correspondence). A correspondence between two sets A and B s a set S contaned n A B = {(a, b) a A, b B}. A correspondence from

More information

Smarandache-Zero Divisors in Group Rings

Smarandache-Zero Divisors in Group Rings Smarandache-Zero Dvsors n Group Rngs W.B. Vasantha and Moon K. Chetry Department of Mathematcs I.I.T Madras, Chenna The study of zero-dvsors n group rngs had become nterestng problem snce 1940 wth the

More information

On the Operation A in Analysis Situs. by Kazimierz Kuratowski

On the Operation A in Analysis Situs. by Kazimierz Kuratowski v1.3 10/17 On the Operaton A n Analyss Stus by Kazmerz Kuratowsk Author s note. Ths paper s the frst part slghtly modfed of my thess presented May 12, 1920 at the Unversty of Warsaw for the degree of Doctor

More information

where a is any ideal of R. Lemma 5.4. Let R be a ring. Then X = Spec R is a topological space Moreover the open sets

where a is any ideal of R. Lemma 5.4. Let R be a ring. Then X = Spec R is a topological space Moreover the open sets 5. Schemes To defne schemes, just as wth algebrac varetes, the dea s to frst defne what an affne scheme s, and then realse an arbtrary scheme, as somethng whch s locally an affne scheme. The defnton of

More information

A Solution of the Harry-Dym Equation Using Lattice-Boltzmannn and a Solitary Wave Methods

A Solution of the Harry-Dym Equation Using Lattice-Boltzmannn and a Solitary Wave Methods Appled Mathematcal Scences, Vol. 11, 2017, no. 52, 2579-2586 HIKARI Ltd, www.m-hkar.com https://do.org/10.12988/ams.2017.79280 A Soluton of the Harry-Dym Equaton Usng Lattce-Boltzmannn and a Soltary Wave

More information

REAL ANALYSIS I HOMEWORK 1

REAL ANALYSIS I HOMEWORK 1 REAL ANALYSIS I HOMEWORK CİHAN BAHRAN The questons are from Tao s text. Exercse 0.0.. If (x α ) α A s a collecton of numbers x α [0, + ] such that x α

More information

Numerical Heat and Mass Transfer

Numerical Heat and Mass Transfer Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and

More information

Research Article Green s Theorem for Sign Data

Research Article Green s Theorem for Sign Data Internatonal Scholarly Research Network ISRN Appled Mathematcs Volume 2012, Artcle ID 539359, 10 pages do:10.5402/2012/539359 Research Artcle Green s Theorem for Sgn Data Lous M. Houston The Unversty of

More information

Antipodal Interval-Valued Fuzzy Graphs

Antipodal Interval-Valued Fuzzy Graphs Internatonal Journal of pplcatons of uzzy ets and rtfcal Intellgence IN 4-40), Vol 3 03), 07-30 ntpodal Interval-Valued uzzy Graphs Hossen Rashmanlou and Madhumangal Pal Department of Mathematcs, Islamc

More information

(Online First)A Lattice Boltzmann Scheme for Diffusion Equation in Spherical Coordinate

(Online First)A Lattice Boltzmann Scheme for Diffusion Equation in Spherical Coordinate Internatonal Journal of Mathematcs and Systems Scence (018) Volume 1 do:10.494/jmss.v1.815 (Onlne Frst)A Lattce Boltzmann Scheme for Dffuson Equaton n Sphercal Coordnate Debabrata Datta 1 *, T K Pal 1

More information

FUZZY TOPOLOGICAL DIGITAL SPACE OF FLAT ELECTROENCEPHALOGRAPHY DURING EPILEPTIC SEIZURES

FUZZY TOPOLOGICAL DIGITAL SPACE OF FLAT ELECTROENCEPHALOGRAPHY DURING EPILEPTIC SEIZURES Journal of Mathematcs and Statstcs 9 (3): 180-185, 013 ISSN: 1549-3644 013 Scence Publcatons do:10.3844/jmssp.013.180.185 Publshed Onlne 9 (3) 013 (http://www.thescpub.com/jmss.toc) FUY TOPOLOGICAL DIGITAL

More information

Dirichlet s Theorem In Arithmetic Progressions

Dirichlet s Theorem In Arithmetic Progressions Drchlet s Theorem In Arthmetc Progressons Parsa Kavkan Hang Wang The Unversty of Adelade February 26, 205 Abstract The am of ths paper s to ntroduce and prove Drchlet s theorem n arthmetc progressons,

More information

FUZZY GOAL PROGRAMMING VS ORDINARY FUZZY PROGRAMMING APPROACH FOR MULTI OBJECTIVE PROGRAMMING PROBLEM

FUZZY GOAL PROGRAMMING VS ORDINARY FUZZY PROGRAMMING APPROACH FOR MULTI OBJECTIVE PROGRAMMING PROBLEM Internatonal Conference on Ceramcs, Bkaner, Inda Internatonal Journal of Modern Physcs: Conference Seres Vol. 22 (2013) 757 761 World Scentfc Publshng Company DOI: 10.1142/S2010194513010982 FUZZY GOAL

More information

Maximizing the number of nonnegative subsets

Maximizing the number of nonnegative subsets Maxmzng the number of nonnegatve subsets Noga Alon Hao Huang December 1, 213 Abstract Gven a set of n real numbers, f the sum of elements of every subset of sze larger than k s negatve, what s the maxmum

More information

12 MATH 101A: ALGEBRA I, PART C: MULTILINEAR ALGEBRA. 4. Tensor product

12 MATH 101A: ALGEBRA I, PART C: MULTILINEAR ALGEBRA. 4. Tensor product 12 MATH 101A: ALGEBRA I, PART C: MULTILINEAR ALGEBRA Here s an outlne of what I dd: (1) categorcal defnton (2) constructon (3) lst of basc propertes (4) dstrbutve property (5) rght exactness (6) localzaton

More information

A Note on \Modules, Comodules, and Cotensor Products over Frobenius Algebras"

A Note on \Modules, Comodules, and Cotensor Products over Frobenius Algebras Chn. Ann. Math. 27B(4), 2006, 419{424 DOI: 10.1007/s11401-005-0025-z Chnese Annals of Mathematcs, Seres B c The Edtoral Oce of CAM and Sprnger-Verlag Berln Hedelberg 2006 A Note on \Modules, Comodules,

More information

On the Multicriteria Integer Network Flow Problem

On the Multicriteria Integer Network Flow Problem BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES Volume 5, No 2 Sofa 2005 On the Multcrtera Integer Network Flow Problem Vassl Vasslev, Marana Nkolova, Maryana Vassleva Insttute of

More information

Modulo Magic Labeling in Digraphs

Modulo Magic Labeling in Digraphs Gen. Math. Notes, Vol. 7, No., August, 03, pp. 5- ISSN 9-784; Copyrght ICSRS Publcaton, 03 www.-csrs.org Avalable free onlne at http://www.geman.n Modulo Magc Labelng n Dgraphs L. Shobana and J. Baskar

More information

where a is any ideal of R. Lemma Let R be a ring. Then X = Spec R is a topological space. Moreover the open sets

where a is any ideal of R. Lemma Let R be a ring. Then X = Spec R is a topological space. Moreover the open sets 11. Schemes To defne schemes, just as wth algebrac varetes, the dea s to frst defne what an affne scheme s, and then realse an arbtrary scheme, as somethng whch s locally an affne scheme. The defnton of

More information

Self-complementing permutations of k-uniform hypergraphs

Self-complementing permutations of k-uniform hypergraphs Dscrete Mathematcs Theoretcal Computer Scence DMTCS vol. 11:1, 2009, 117 124 Self-complementng permutatons of k-unform hypergraphs Artur Szymańsk A. Paweł Wojda Faculty of Appled Mathematcs, AGH Unversty

More information

INTERVAL-VALUED INTUITIONISTIC FUZZY CLOSED IDEALS OF BG-ALGEBRA AND THEIR PRODUCTS

INTERVAL-VALUED INTUITIONISTIC FUZZY CLOSED IDEALS OF BG-ALGEBRA AND THEIR PRODUCTS ITEVL-VLED ITITIOISTIC FZZY CLOSED IDELS OF G-LGE D THEI PODCTS Tapan Senapat #, onoranjan howmk *, adhumangal Pal #3 # Department of ppled athematcs wth Oceanology Computer Programmng, Vdyasagar nversty,

More information

h-analogue of Fibonacci Numbers

h-analogue of Fibonacci Numbers h-analogue of Fbonacc Numbers arxv:090.0038v [math-ph 30 Sep 009 H.B. Benaoum Prnce Mohammad Unversty, Al-Khobar 395, Saud Araba Abstract In ths paper, we ntroduce the h-analogue of Fbonacc numbers for

More information

Introductory Cardinality Theory Alan Kaylor Cline

Introductory Cardinality Theory Alan Kaylor Cline Introductory Cardnalty Theory lan Kaylor Clne lthough by name the theory of set cardnalty may seem to be an offshoot of combnatorcs, the central nterest s actually nfnte sets. Combnatorcs deals wth fnte

More information

4 Analysis of Variance (ANOVA) 5 ANOVA. 5.1 Introduction. 5.2 Fixed Effects ANOVA

4 Analysis of Variance (ANOVA) 5 ANOVA. 5.1 Introduction. 5.2 Fixed Effects ANOVA 4 Analyss of Varance (ANOVA) 5 ANOVA 51 Introducton ANOVA ANOVA s a way to estmate and test the means of multple populatons We wll start wth one-way ANOVA If the populatons ncluded n the study are selected

More information

Edge Isoperimetric Inequalities

Edge Isoperimetric Inequalities November 7, 2005 Ross M. Rchardson Edge Isopermetrc Inequaltes 1 Four Questons Recall that n the last lecture we looked at the problem of sopermetrc nequaltes n the hypercube, Q n. Our noton of boundary

More information