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

Size: px
Start display at page:

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

Transcription

1 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, dnapore -7 0, Inda mathtapan@gmalcom 3 mmpalvu@gmalcom *Department of athematcs, V T T College, dnapore- 7 0, Inda mbvttc@gmalcom STCT In ths paper, we apply the concept of an nterval-valued ntutonstc fuzzy set to deals closed deals n G-algebras The noton of an nterval-valued ntutonstc fuzzy closed deal of a G-algebra s ntroduced, some related propertes are nvestgated lso, the product of nterval-valued nntutonstc fuzzy G-algebra s nvestgated KEYWODS D PHSES G-algebras, nterval-valued ntutonstc fuzzy sets IVIFSs), IVIF-deals, IVIFC-deals, homomorphsm, equvalence relaton, upperlower)-level cuts, product of G-algebra ITODCTIO lgebrac structures play an mportant role n mathematcs wth wde range of applcatons n many dscplnes such as theoretcal physcs, computer scences, control engneerng, nformaton scences, codng theory etc On the other h, n hlng nformaton regardng varous aspects of uncertanty, non-classcal logc a great extenson development of classcal logc) s consdered to be more powerful technque than the classcal logc one The non-classcal logc, therefore, has now a days become a useful tool n computer scence oreover, non-classcal logc deals wth the fuzzy nformaton uncertanty In 965, Zadeh [8] ntroduced the noton of a fuzzy subset of a set as a method for representng uncertanty n real physcal world Extendng the concept of fuzzy sets FSs), many scholars ntroduced varous notons of hgherorder FSs mong them, nterval-valued fuzzy sets IVFSs) provdes wth a flexble mathematcal framework to cope wth mperfect mprecse nformaton oreover, ttanssov [,6] ntroduced the concept of ntutonstc fuzzy sets IFSs) the nterval-valued ntutonstc fuzzy sets IVIFSs), as a generalzaton of an ordnary FSs In 966, Ima Isek [3] ntroduced two classes of abstract algebra: CK-algebras CIalgebras It s known that the class of CK-algebra s a proper subclass of the class of CIalgebras In [, ] Hu L ntroduced a wde class of abstract algebras: CH-algebras They have shown that the class of CI-algebra s a proper subclass of the CH-algebras eggers DOI : 05/jfls003 7

2 Km [0] ntroduced a new noton, called a -algebras whch s related to several classes of algebras of nterest such as CH/CI/CK-algebras Cho Km [8] dscussed further relatons between -algebras other topcs especally quasgroups Park Km [] shown that every quadratc -algebra on a feld X wth X 3 s a CI-algebra Jun et al [0] fuzzyfed normal) -algebras gave a characterzaton of a fuzzy -algebras Km Km [7] ntroduced the noton of G-algebras, whch s a generalzaton of -algebras hn Lee [] fuzzfed Galgebras Saed [4] ntroduced fuzzy topologcal G-algebras, nterval- valued fuzzy Galgebras In the same year Saed [3] also dscussed some results of nterval-valued fuzzy Galgebra Senapat et al [6] presented the concept basc propertes of nterval-valued ntutonstc fuzzy IVIF) G-subalgebras In ths paper, nterval-valued ntutonstc fuzzy deal IVIF-deal) of G-subalgebras s defned lot of propertes are nvestgated The noton of equvalence relatons on the famly of all nterval-valued ntutonstc fuzzy deals of a G-algebra s ntroduced nvestgated some related propertes The product of IVIF) G-subalgebra has been ntroduced some mportant propertes of t are also studed The rest of ths paper s organzed as follows The followng secton brefly revews some background on G-algebra, G-subalgebra, refnement of unt nterval, IVIF) G-subalgebras In Secton 3, the concepts operatons of IVIF-deal) nterval-valued ntutonstc fuzzy closed deal IVIFC-deal) are proposed dscuss ther propertes n detal In Secton 4, some propertes of IVIF-deals under homomorphsms are nvestgated In Secton 5, equvalence relatons on IVIF-deals s ntroduced In secton 6, product of IVIF G-subalgebra some of ts propertes are studed Fnally, n Secton 7, concluson scope of for future research are gven PELIIIES In ths secton, some defntons are recalled whch are used n the later sectons The G-algebra s a very mportant branch of a modern algebra, whch s defned by Km Km [7] Ths algebra s defned as follows Defnton [7] G-algebra) non-empty set X wth a constant 0 a bnary operaton s sad to be G-algebra f t satsfes the followng axoms x x 0 x 0 x 3 x 0 for all y X G-algebra s denoted by X,,0) n example of G-algebra s gven below Example Let X {0,,,3,4,5} be a set The bnary operaton over X s defned as * Ths table satsfes all the condtons of Defnton Hence, X,,0) s a G-algebra partal orderng on X can be defned by x y f only f x y 0 ow, we 8

3 ntroduce the concept of G-subalgebra over a crsp set X the bnary operaton n the followng Defnton [7] G-subalgebra) non-empty subset S of a G-algebra X s called a subalgebra of X f x y S, for all y S From ths defnton t s observed that, f a subset S of a G-algebra satsfes only the closer property, then S becomes a G-subalgebra Defnton 3 Ideal) non-empty subset I of a G-algebra X s called an deal of X f ) 0 I ) x y I y I x I, for any y X n deal I of a G-algebra X,,0) s called closed f 0 x I, for all x I The IVIFS s a partcular type of FS hn Lee [] extends the concepts of G-subalgebra from crsp set to fuzzy set In the fuzzy set, the membershp values of the elements are wrtten together along wth the elements The membershp values le between 0 The defnton of ths set s gven below Defnton 4 [8] Fuzzy set) Let X be the collecton of objects denoted generally by x then a fuzzy set n X s defned as {< µ >: x X} where µ s called the membershp value of x n 0 µ Combned the defnton of G-subalgebra over crsp set the dea of fuzzy set hn Lee [] defned fuzzy G-subalgebra, whch s defned below Defnton 5 [] Fuzzy G-subalgebra) Let be a fuzzy set n a G-algebra Then s called a fuzzy subalgebra of X f µ x mn{ µ, µ for all y X, where µ s the membershp value of x n Defnton 6 [9] Fuzzy G-deal) fuzzy set {< µ >: x X} n X s called a fuzzy deal of X f t satsfes ) µ 0) µ ) µ mn{ µ µ for all y X In a fuzzy set only the membershp value µ of an element x s consdered, the nonmembershp value can be taken as µ Ths value also les between 0 ut n realty ths s not true for all cases, e, the non-membershp value may be strctly less than Ths dea was frst ncorporated by ttanasov [] ntated the concept of ntutonstc fuzzy set defned below Defnton 7 [] Intutonstc fuzzy set) n ntutonstc fuzzy set over X s an object havng the form { µ, ν : x X}, where µ : X [0,] ν : X [0,], wth the condton 0 ν + ν for all x X The numbers µ ν denote, respectvely, the degree of membershp the degree of nonmembershp of the element x n the set Obvously, when ν µ for every x X, the set becomes a fuzzy set Extendng the dea of fuzzy G-subalgebra, Zar Saed [3] defned ntutonstc fuzzy G-subalgebra In ntutonstc fuzzy G-subalgebra, two condtons are to be satsfed, nstead of one condton n fuzzy G-subalgebra Defnton 8 [7]Intutonstc fuzzy G-subalgebra) n IFS { µ, ν : x X} n X s called an ntutonstc fuzzy subalgebra of X f t satsfes the followng two condtons, 9

4 µ x mn{ µ, µ ν x max{ ν, ν The people observed that the determnaton of membershp value s a dffcult task for a decson maker In [9], Zadeh defned another type of fuzzy set called nterval-valued fuzzy sets IVFSs) The membershp value of an element of ths set s not a sngle number, t s an nterval ths nterval s an subnterval of the nterval [0,] Let D[0,] be the set of a subntervals of the nterval [0,] Defnton 9 [9] IVFS) n IVFS over X s an object havng the form { : x X}, where : X D[0,], where D [0,] s the set of all sub ntervals of [0,] The nterval denotes the nterval of the degree of membershp of the element x to the set, where [ L, ] for all x X Combnng the dea of ntutonstc fuzzy set nterval-valued fuzzy sets, tanassov Gargov [3] defned a new class of fuzzy set called nterval-valued ntutonstc fuzzy sets IVIFSs) defned below Defnton 0 [3] IVIFS) n IVIFS over X s an object havng the form {, : x X}, where : X D[0,] : X D[0,], where D [0,] s the set of all subntervals of [0,] The ntervals denote the ntervals of the degree of membershp degree of non-membershp of the element x to the set, where [ L, ] [ L, ], for all x X, wth the condton 0 + lso note that [, ] [, ], where [, ] represents the complement of x n For the sake of smplcty, we shall use the symbol, ) for the IVIFS {, : x X} L The determnaton of maxmum mnmum between two real numbers s very smple, but t s not smple for two ntervals swas [7] descrbed a method to fnd max/sup mn/nf between two ntervals or a set of ntervals Defnton [7] efnement of ntervals) Consder two elements D, D D[0,] If D [ a, ] D [ a, ], then rmax D, D ) [max a, a ), max b, )] whch s b b r D b D, D ) [mn a, a), mn b, b denoted by D rmn )] whch s denoted by D r D Thus, f D [ a, b ] D[0,] for,,3,4,, then we defne rsup D ) r [ sup a ), sup b )], e, D [ a, b ] Smlarly, we rnf D ) [ nf a ), nf b )] e, r D [ a, b ] ow we call D D ff a a b b Smlarly, the relatons D D D D are defned The upper lower level of an IVIF G subalgebras s defned n the earler paper of Senapat et al [8] Defnton [8]IVIF G-subalgebras) Let, ) be an IVIFS n X, where X s a G-subalgebra, then the set s IVIF G-subalgebra over the bnary operator f t satsfes the followng condtons: GS) x rmn{, L 30

5 GS) x rmax{,, for all y X Defnton 3 [8] Let, ) s an IVIF G-subalgebra of X For [ s, s ], [ t, t ] D[0,], the set :[ s, s]) { x X [ s, s]} s called upper [ s, s] -level of L :[ t, t ]) { x X [ t, ]} s called lower t, ] -level of t [ t lso the mappng of an IVIFS s defned n [6] It has some extensve propertes n the feld of IVIF G-subalgebras Defnton 4 [8] Let f be a mappng from a set X nto a set Y Let be an IVIFS n Y Then the nverse mage of, e, f ) X, f ), f )) s the IVIFS n X wth the membershp functon non-membershp functon respectvely are gven by f ) f ) f ) f ) 3 IVIFC-IDELS OF G-LGES In ths secton, IVIF-deal IVIFC-deal of G-algebra are defned prove some propostons theorems are presented In what follows, let X denote a G-algebra unless otherwse specfed Defnton 5 n IVIFS, ) n X s called an IVIF-deal of X f t satsfes: GS3) 0) 0) GS4) rmn{ GS5) rmax{ for all y X Example Consder a G-algebra X {0,,,3} wth the followng Cayley table * Let, ) be an IVIFS n X defned as 0) ) [,], ) 3) [ m, m], 0) ) [0,0] ) 3) [ n, n], where m, ], n, n ] [0,] m + n Then, ) s an IVIF-deal of X [ m [ D closed deal of IVIF deal also be derved from the above defnton Defnton 6 n IVIFS, ) n X s called an IVIFC-deal of X f t satsfes GS4), GS5) GS6) wth 0 0, for all x X Example 3 Consder a G-algebra X {0,,,3,4,5} wth the table n Example We defne an IVIFS, ) n X by, 0) [05,07], ) ) [04,06], 3) 4) 5) [03,04], 0) [0,0], ) ) [0,04], 3) 4) 5) [04,06] y routne calculatons, one can verfy that, ) s an IVIFC-deal of X 3

6 Proposton Every IVIFC-deal s an IVIF-deal The converse of above proposton s not true n general as seen n the followng example Example 4 Consder a G-algebra X {0,,,3,4,5} wth the followng table * Let us an IVIFS, ) n X by 0) [05,07], ) [04,06], ) 3) 4) 5) [03,04], 0) [0,0], ) [0,04], ) 3) 4) 5) [04,06] We know that, ) s an IVIF-deal of X ut t s not an IVIFC-deal of X snce 0 0 Corollary Every IVIF G-subalgebra satsfyng GS4) GS5) s an IVIFC-deal Theorem Every IVIFC-deal of a G-algebra X s an IVIF G-subalgebra of X Proof: If, ) s an IVIFC-deal of X, then for any x X we have 0 0 ow x rmn{ x 0 ), 0, by GS4) rmn{, 0 rmn{,, by GS6) x rmax{ x 0 ), 0, by GS5) rmax{, 0 Hence the theorem rmax{,, by GS6) Proposton If an IVIFS, ) n X s an IVIFC-deal, then for all x X, 0) 0) Proof: Straghtforward Theorem n IVIFSs {[, ],[, ]} n X s an IVIF-deal of X ff L, L L, L are fuzzy deals of X Proof: Snce L 0) L, 0), L 0) L 0), therefore 0) 0) Let L are fuzzy deals of X Let y X Then [, ] L [ mn{, mn{ ] L L rmn{[ x ],[, ]} L rmn{ Let L are fuzzy deals of X y X Then L 3

7 [, ] L [ max{, max{ ] L L rmax{[ x ],[, ]} L rmax{ Hence, {[ L, ],[ L, ]} s an IVIF deal of X Conversely, assume that, s an IVIF deal of X For any y X, we have [, ] L rmn{ rmn{[ x ],[, ] L [mn{, mn{ ] L [ L, ] x ) rmax{ rmax{[ x ],[, ]} Thus, Hence, L L [max{, max{ ] L L mn{, mn{, L L L max{, max{ L L L L, L are fuzzy deals of X, The ntersecton of two IVIFS of X s defned by tanassov [4] as follows Defnton 7 Let be two IVIFSs on X, where { [, ],[, ] : x X} L { [ L, ],[ L, ] : x X} Then the ntersecton of s denoted by s gven by {, : x X} { [ mn, ), mn, )], L L [ max, ), max, )] : x X} L The defnton of ntersecton holds good for IVIF G subalgebras L Theorem 3 Let be two IVIF-deals of a G-algebras X Then s also an IVIF-deal of G-algebra X Proof: Let y Then y ow, 0) x rmn{, L L L L } 0) x rmn{, } lso, [ ) L, ) [mn, ),mn, ] )] L L [ mn ), )),mn ) ), ) y ) L x y ) L y x y rmn{ x, [ ) L, ) ] ))] 33

8 [max, ),max, )] L L [ max ), )),max ), ) y ) L x y ) L y ) x y rmax{ x, Hence, s also an IVIF-deal of G-algebra X Ths proves that the ntersecton of any two IVIF-deals of X s agan an IVIF-deal of X The above theorem can be generalzed as Corollary Intersecton of any famly of IVIF-deals of X s agan an IVIF-deal of X In the same way by the defnton of we can prove the followng result Corollary 3 If s an IVIF-deal of X then s also an IVIF-deal of X Lemma Let, ) be an IVIF-deal of X If x y z then rmn{, z)} rmax{, z)} Proof: Let y, z X such that x y z Then x z 0 thus rmn{ rmn{ rmn{ { x z), z)}, rmn{ rmn{ 0), z)}, rmn{, z)} rmax{ rmax{ rmax{ { x z), z)}, rmax{ rmax{ 0), z)}, rmax{, z)} Lemma Let, ) be an IVIF-deal of X If x y then e, s order-reservng s order-preservng Proof: Let y X such that x y Then x y 0 thus rmn{ rmn{ 0), rmax{ rmax{ 0), sng nducton on n by Lemma Lemma we can easly prove the followng theorem Theorem 4 If, ) s an IVIF-deal of X, then x a) a) ) an 0 for any x, a, a,, a n X, mples rmn{ a), a),, an )} rmax{ a ), a ),, a )} n ))] 34

9 Here we defne two operators on IVIFS as follows: Defnton 8 Let, ) be an IVIFS defned on X The operators are defned as, ), ) n X Theorem 5 If, ) s an IVIF-deal of a G-algebra X, then ), ), both are IVIF-deals of G-algebra X Proof: For ), t s suffcent to show that satsfes the second part of the condtons GS3) GS5) We have 0) 0) Let y X Then Hence, rmn{ rmax{ snce [,] rmax{ s an IVIF-deal of G-subalgebra X For ), t s suffcent to show that satsfes the frst part of the condtons GS3) GS4) We have 0) 0) Let y X Then Hence, rmax{ rmn{ snce [,] rmn{ s an IVIF-deal of G-subalgebra X Theorem 6 n IVIFS, ) s an IVIFC-deal of X ff the sets :[ s, s]) L :[ t, t ]) are closed deal of X for every s, s ],[ t, t ] [0,] [ D Proof: Suppose that, ) s an IVIFC-deal of X For [ s, s] D[0,], obvously, 0 x :[ s, s]), where x X Let y X be such that x y : [ s, s ]) y :[ s, s]) Then rmn{ y )} [ s, s ] Then x :[ s, s ]) Hence, :[ s, s ]) s closed deal of X For [ t, t] D[0,], obvously, 0 x L :[ t, t]) Let y X be such that x y L :[ t, t ]) y L :[ t, t ]) Then rmax{ :[ t, t [ t, t ] Then x L :[ t, t ]) Hence, L ]) s closed deal of X Conversely, assume that each non-empty level subset :[ s, s]) L :[ t, t]) are closed deals of X For any x X, let [ s, s] [ t, t] Then x :[ s, s]) x L :[ t, t]) Snce 0 x : [ s, s]) L : [ t, t]), t follows that 0 [ s, s] [ t, t], for all x X If there exst α, β X such that α) < rmn{ α β ), β )}, then by takng [ s ', s'] [ α β ) + rmn{ α ), β )}], t follows that α β : [ s', s ']) 35

10 β :[ s ', s' ]), but α :[ s ', s' ]), whch s a contradcton Hence, :[ s ', s ']) s not closed deal of X gan, f there exst γ, δ X such that γ ) > rmax{ γ δ ), δ )}, then by takng [ t ', t'] [ γ δ ) + rmax{ γ ), δ )}], t follows that γ δ : [ t', t']) δ L :[ t ', t']), but γ L :[ t ', t' ]), whch s a contradcton Hence, L :[ t ', t']) s not closed deal of X Hence,, ) s an IVIFC-deal of X snce t satsfes GS3) GS4) 4 IVESTIGTIO OF IVIF-IDELS DE HOOOPHIS In ths secton, homomorphsm of IVIF G-subalgebra s defned some results are studed Let f be a mappng from the set X nto the set Y Let be an IVIFS n Y Then the nverse mage of, s defned as f ) f ), f )) wth the membershp functon non-membershp functon respectvely are gven by f ) f ) f ) f ) It can be shown that f ) s an IVIFS Defnton 9 mappng f : X Y of G-algebra s called a G-homomorphsm f f x f f, for all y X ote that f f : X Y s a G-homomorphsm, then f 0) 0 Theorem 7 [8] Let f : X Y be a homomorphsm of G-algebras If, ) s an IVIF G-subalgebra of Y, then the premage f ) f ), f )) of under f s an IVIF G-subalgebra of X Theorem 8 Let f : X Y be a homomorphsm of G-algebras If, ) s an IVIF- deal of Y, then the premage f ) f ), f )) of under f n X s an IVIFdeal of X Proof: For all x X, f ) f ) 0) f 0)) f )0) f ) f ) 0) f 0)) f )0) gan let y X Then f ) f ) rmn{ f f ), f )} rmn{ f f )} rmn{ f f ) f ) ) f ) rmax{ f f ), f )} rmax{ f f )} rmax{ f ) f ) 36

11 Hence, f ) f ), f )) s an IVIF-deal of X Theorem 9 Let f : X Y be an epmorphsm of G-algebras Then, ) s an IVIF-deal of Y, f f ) f ), f )) of under f n X s an IVIF-deal of X Proof: For any x Y, a X such that f a) x Then f a)) f ) a) f )0) f 0)) f a)) f ) a) f )0) f 0)) 0) Let y Y Then f a) x f b) y for some a, b X Thus f a)) f ) a) rmn{ f ) a b), f ) b)} rmn{ f a b)), f b))} rmn{ f a) f b)), f b))} rmn{ x, f a)) f ) a) rmax{ f ) a b), f ) b)} rmax{ f a b)), f b))} rmax{ f a) f b)), f b))} rmax{ x, Then, ) s an IVIF-deal of Y 5 EQIVLECE ELTIOS O IVIF-IDELS Let IVIFIX) denote the famly of all nterval-valued ntutonstc fuzzy deals of X let [, ] [0,] Defne bnary relatons L on IVIFIX) as D, ) : ) : ), ) L L : ) L : ) respectvely, for, ), ) n IVIFIX) Then clearly L are equvalence relatons on IVIFIX) For any, ) IVIFI X ), let [ ] respectvely, [ ] ) denote the equvalence class of modulo L 0) respectvely, L ), denote by IVIFIX)/ respectvely, IVIFIX)/ L ) the collecton of all equvalence classes modulo respectvely, L ), e, respectvely, IVIFIX)/ : {[ ], ) IVIFI X )}, IVIFIX)/ L : {[ ], ) IVIFI X )} L These two sets are also called the quotent sets ow let T X ) denote the famly of all deals of X let [, ] D[0,] Defne mappngs f g from IVIFIX) to T X ) { φ} by f ) : ) g ) L : ), respectvely, for all, ) IVIFI X ) Then f g are 37

12 clearly well-defned Theorem 0 For any [, ] D[0,], the maps f to T X ) { φ} g are surjectve from IVIFIX) Proof: Let [, ] D[0,] ote that 0% 0, ) s n IVIFIX), where 0 are nterval-valued fuzzy sets n X defned by 0 [0,0] [,] for all x X Obvously f 0 % ) 0 : ) [0,0]:[, ]) φ L [,]:[, ]) L : ) g 0 % ) Let P φ ) IVIFI X ) For P% χ, χ ) IVIFI X ), we have f P% ) χ P : ) P g P% ) L χ P : ) P Hence f P P g are surjectve Theorem The quotent sets IVIFIX)/ IVIFIX)/ L are equpotent to T X ) { φ} for every D[0,] Proof: For D[0,] let f respectvely, g ) be a map from IVIFIX)/ respectvely, IVIFIX)/ L ) to T X ) { φ} defned by f [ ] ) f ) respectvely, g [ ] ) g ) ) for all, ) IVIFI X )} If : ) : ) L : ) L : ) for, ), ) n IVIFIX), then, ), ) L ; hence [ ] [ ] [ ] [ ] Therefore the maps f g are njectve ow let P φ ) IVIFI X ) For P % χ, χ ) IVIFI X ), we have L P L P f [ P% ] ) f P% ) χ P : ) P, g [ P% ] ) g P% ) L χ : ) P L P Fnally, for 0% 0, ) IVIFI X ) we get f [ 0 % ] ) f 0 % ) 0 : ) φ g [ 0 % ] ) g 0 % ) L : ) φ Ths shows that L the proof For any D[0,], we defne another relaton f g are surjectve Ths completes on IVIFIX) as follows:, ) : ) L : ) : ) L : ) for any, ), ) IVIFI X ) Then the relaton equvalence relaton on IVIFIX) s an Theorem For any D[0,], the maps : IVIFI X ) T X ) { φ} defned by ψ ) f ) g ) for each, ) X s surjectve Proof: Let D[0,] For 0% 0, ) IVIFI X ), ψ 0 % ) f 0 % ) g 0 % ) 0 : ) ψ L : ) φ For any H IVIFI X ), there exsts H: χ H, χ H ) IVIFI X ) such that ψ H % ) f H % ) g H% ) : ) L χ H : ) H Ths completes the proof χ H 38

13 Theorem 3 The quotent sets IVIFIX)/ are equpotent to T X ) { φ} for every D [0,] Proof: For D[0,], defne a map ψ : IVIFI X )/ T X ) { φ} by ψ [ ] ) ψ ) for all [ ] IVIFI X )/ ssume that ψ [ ] ) [ ] ) ψ for any [ ] [ ] IVIFI X )/ Then f ) g ) f ) g ), e, Hence : ) L : ) : ) L : ), ), so ] [ ] 0 : 0, ) IVIFI X ) we have [ Therefore the maps ψ are njectve ow for ψ [ 0 % ] ) ψ 0 ) 0 ) g 0 ) 0 : ) L : ) φ f If H IVIFIX ), then for H: χ H, χ H ) IVIFI X ), we obtan ψ [ H ] ) ψ H ) f H % ) g H% ) : ) Thus ψ s surjectve Ths completes the proof 6 PODCT OF IVIF G-LGE χ H L χ H : ) H In ths secton, product of IVIF G-algebra s defned some results are studed Defnton 0 Let, ), ) be two IVIFSs of X The cartesan product X X,, ) s defned by ) rmn{, ) rmax{,, where : X X D[0,] : X X D[0,] for all y X Proposton 3 Let, ), ) be IVIF-deals of X, then s an IVIF-deal of X X Proof: For any x, X X, we have )0,0) rmn{ 0), 0)} rmn{,, for all y X, ) )0,0) rmax{ 0), 0)} rmn{,, for all y X, ) Let x, x, X X Then ) x, y ) rmn{ x ), y )} rmn{ rmn{ x x), x)}, rmn{ y, }} rmn{ rmn{ x x), y }, rmn{ x), }} rmn{ ) x x, y y ), ) x, )} y 39

14 rmn{ ) x, x, ), ) x, } ) x, y ) rmax{ x ), y )} Hence, rmax{ rmax{ x x), x)}, rmax{ y, }} rmax{ rmax{ x x), y }, rmax{ x), }} rmax{ ) x x, y, ) x, } rmax{ ) x, y ) x, y )), ) x, )} y s an IVIF-deal of X X Proposton 4 Let, ), ) are IVIFC-deals of X, then s an IVIFC-deal of X X Proof: ow, )0,0) ) )0 0 rmn{ 0, 0 rmn{, ) )0,0) ) )0 0 rmax{ 0, 0 rmax{, ) Hence, s an IVIFC-deal of X X Lemma 3 If, ), ) are IVIF-deals of X, then ), ) s an IVIF-deals of X X Proof: Snce ) rmn{, That s, ) rmn{, Ths mples, rmn{, ) Therefore, ) rmax{, Hence, ), ) s an IVIF-deal of X X Lemma 4 If, ), ) are IVIF-deals of X, then ), ) s an IVIF-deal of X X Proof: Snce ) rmax{, That mples, ) rmax{, Ths s, rmax{, ) Therefore, ) rmn{, Hence, ), ) s an IVIF-deal of X X y the above two lemmas, t s not dffcult to verfy that the followng theorem s vald 40

15 Theorem 4 The IVIFSs, ), ) are IVIF-deals of X ff ), ) ), ) are IVIF-deal of X X Lemma 5 If, ), ) are IVIFC-deals of X, then ), ) s an IVIFC-deals of X X Proof: Snce, ), ) are IVIFC-deals of X,, ), ) are IVIF-deals of X Thus, s IVIF-deal of X X ow )0,0) ) ) That s, )0,0) ) ) Ths gves, )0,0) ) ) Hence, ), ) s an IVIFC-deal of X X Lemma 6 If, ), ) are IVIFC-deals of X, then ), ) s an IVIFC-deals of X X Proof: The proof s smlar to the proof of the above lemma The followng theorem follows from the above two lemmas Theorem 5, ), ) are IVIFC-deals of X ff ), ) ), ) are IVIFC-deal of X X Defnton Let, ), ) s IVIF G-subalgebra of X For [ s, s],[ t, t] D[0,], the set : [ s, s]) { X X ) y ) [ s, s]} s called upper [ s, s] -level of L : [ t, t]) { X X ) [ t, t ]} s called lower t, ]-level of [ t Theorem 6 For any IVIFS, ), ), s an IVIFC-deals of X X ff the non-empty upper [ s, s] -level cut :[ s, s]) the non-empty lower [ t, t] -level cut L :[ t, t]) are closed deals of X X for any [ s, s] t, t ] [0,] [ D Proof: Let, ), ) are IVIFC-deals of X, therefore for any x, X X, )0,0) ) ) )0,0) ) ) For [ s, s] D[0,], f ) [ s, s] That s, )0,0) ) [ s, s] Ths mples, 0,0) :[ s, s]) Let x,, x, y ) X X such that x, y ) :[ s, s]) x, y ) :[ s, s]) ow, ) rmn{ ) x, y )), ) x, y )} rmn[ s, s],[ s, s]) 4

16 [ s, s] Ths mples, :[ s, s]) Thus :[ s, s]) s closed deal of X X Smlarly, L :[ t, t]) s closed deal of X X Conversely, let x, X X such that ) [ s, s] ) y ) [ t, t ] Ths mples, :[ s, s]) L :[ t, t]) Snce 0,0) :[ s, s]) 0,0) L :[ t, t]) by defnton of closed deal) Therefore, )0,0) ) [ s, s] )0,0) ) [ t, t ] Ths gves, )0,0) ) ) )0,0) ) ) Hence, s an IVIFC-deal of X X 7 Conclusons Future Work In the present paper, we have ntroduced the concept of IVIF-deal IVIFC-deal of Galgebras are ntroduced nvestgated some of ther useful propertes The product of IVIF Gsubalgebra has been ntroduced some mportant propertes of t are also studed In our opnon, these defntons man results can be smlarly extended to some other algebrac systems such as F-algebras, lattces Le algebras It s our hope that ths work would other foundatons for further study of the theory of Galgebras The results obtaned here probably be appled n varous felds such as artfcal ntellgence, sgnal processng, multagent systems, pattern recognton, robotcs, computer networks, genetc algorthm, neural networks, expert systems, decson makng, automata theory medcal dagnoss In our future study of fuzzy structure of G-algebra, the followng topcs may be consdered: ) To fnd nterval-valued ntutonstc T,S)-fuzzy deals, where S T are gven magnable trangular norms; ) To get more results n IVIFC-deals of G-algebra ther applcatons; ) To fnd ε, ε q) -nterval-valued ntutonstc fuzzy deals of G-algebras 8 EFEECES [] SS hn HD Lee, Fuzzy subalgebras of G-algebras, Commun Korean ath Soc 9) 004), 43-5 [] KT tanassov, Intutonstc fuzzy sets, Fuzzy Sets Systems, 0 986), [3] KT tanassov G Gargo, Interval-valued ntutonstc fuzzy sets, Fuzzy Sets Systems, 3) 989), [4] KT tanassov, Operatons over nterval-valued fuzzy set, Fuzzy Sets Systems, ), [5] KT tanassov, ore on ntutonstc fuzzy sets, Fuzzy Sets Systems, 33) 989), [6] KT tanassov, ew operatons defned over the ntutonstc fuzzy sets, Fuzzy Sets Systems, 6 994), 37-4 [7] swas, osenfeld's fuzzy subgroups wth nterval valued membershp functon, Fuzzy Sets Systems, ),

17 [8] J Cho HS Km, On -algebras quasgroups, Quasgroups elated Systems 7 00), 6 [9] G Deschrjver, rthmetc operators n nterval-valued fuzzy theory, Informaton Scences, ), [0] DH Foster, Fuzzy topologcal groups, Journal of athematcal nalyss pplcatons, 67) 979), [] QP Hu X L, On CH-algebras, athematcs Semnar otes, 983), [] QP Hu X L, On proper CH-algebras, ath Japonca, ), [3] Y Ima K Isek, On axom system of propostonal calcul, XIV Proc Japan cademy, 4 966), 9- [4] Y Jun, EH oh HS Km, On fuzzy -algebras, Czech ath J, 57) 00), [5] KH Km, Intutonstc fuzzy deals of semgroups, Indan J Pure ppl ath, 334) 00), [6] K Jana Pal, Some operators defned over nterval-valued ntutonstc fuzzy sets, Fuzzy Logc Optmzaton, Edtor: S a, arosa Publshng House, ew Delh, Inda, 006), 3-6 [7] C Km HS Km, On G-algebras, Demonstrato athematca, 4 008), [8] WJ Lu, Fuzzy nvarant subgroups fuzzy deals, Fuzzy Sets Systems, 8 98), 3-39 [9] uthuraj, Srdharan P Stharselvam, Fuzzy G-deals n G-algebra, Internatonal Journal of Computer pplcatons, ) 00), 6-30 [0] J eggers HS Km, On -algebras, ath Vensk, 54 00), -9 [] HK Park HS Km, On quadratc -algebras, Quasgroups elated Systems 7 00), 67 7 [] osenfeld, Fuzzy Groups, Journal of athematcal nalyss pplcatons, 35 97), 5-57 [3] Saed, Some results on nterval-valued fuzzy G-algebra, World cademy of Scence, Engneerng Technology, 5 005), [4] Saed, Fuzzy topologcal G-algebra, Internatonal athematcal Journal, 6) 005), - 7 [5] Saed, Interval-valued fuzzy G-algebra,, Kangweon-Kyungk ath Jour, 4) 006), 03-5 [6] T Senapat, howmk Pal, Fuzzy closed deals of -algebras, Internatonal Journal of Computer Scence Engneerng Technology, 0) 0), [7] T Senapat, howmk Pal, On ntutonstc fuzzy subalgebras n G-algebras, Submtted) [8] T Senapat, howmk Pal, Interval-valued ntutonstc fuzzy G-subalgebras, Journal of Fuzzy athematcs ccepted) [9] L Zadeh, Fuzzy sets, Informaton Control, 8 965), [30] L Zadeh, The concept of a lngustc varable ts applcaton to approxmate reasonng I, Informaton Scences, 8 975), [3] L Zadeh, Toward a generalzed theory of uncertanty GT)-an outlne, Informaton Scences, 7 005), -40 [3] Zar Saed, Intutonstc fuzzy deals of G-algebras, World cademy of Scence, Engneerng Technology, 5 005),

18 uthors Tapan Senapat receved hs achelor of Scence degree wth honours n athematcs n 006 from dnapore College, Pashm ednpur, West engal, Inda aster of Scence degree n athematcs n 008 from Vdyasagar nversty, West engal, Inda Hs research nterest ncludes fuzzy sets, ntutonstc fuzzy sets, fuzzy algebra lattce valued trangular norm onoranjan howmk receved hs Sc n athematcs from Indan Insttute of Technology, Kharagpur, West engal, Inda PhD from Vdyasagar nversty, Inda n respectvely He s a faculty member of VTT College, Paschm dnapore, West engal, Inda Hs man scentfc nterest concentrates on dscrete mathematcs, fuzzy sets, ntutonstc fuzzy sets, fuzzy matrces, ntutonstc fuzzy matrces fuzzy algebra adhumangal Pal receved hs Sc from Vdyasagar nversty, Inda PhD from Indan Insttute of Technology, Kharagpur, Inda n respectvely He s engaged n research snce 99 In 996, he receved Computer Dvson ward from Insttuton of Engneers Inda), for best research work Durng 997 to 999 he was a faculty member of dnapore College snce 999 he has been at the Vdyasagar nversty, Inda Hs research nterest ncludes computatonal graph theory, parallel algorthms, data structure, combnatoral algorthms, genetc algorthms, fuzzy sets, ntutonstc fuzzy sets, fuzzy matrces, ntutonstc fuzzy matrces, fuzzy game theory fuzzy algebra 44

Some Concepts on Constant Interval Valued Intuitionistic Fuzzy Graphs

Some Concepts on Constant Interval Valued Intuitionistic Fuzzy Graphs IOS Journal of Mathematcs (IOS-JM) e-issn: 78-578, p-issn: 39-765X. Volume, Issue 6 Ver. IV (Nov. - Dec. 05), PP 03-07 www.osrournals.org Some Concepts on Constant Interval Valued Intutonstc Fuzzy Graphs

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

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

Matrix-Norm Aggregation Operators

Matrix-Norm Aggregation Operators IOSR Journal of Mathematcs (IOSR-JM) e-issn: 78-578, p-issn: 39-765X. PP 8-34 www.osrournals.org Matrx-Norm Aggregaton Operators Shna Vad, Sunl Jacob John Department of Mathematcs, Natonal Insttute of

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

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

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

Neutrosophic Bi-LA-Semigroup and Neutrosophic N-LA- Semigroup

Neutrosophic Bi-LA-Semigroup and Neutrosophic N-LA- Semigroup Neutrosophc Sets Systems, Vol. 4, 04 9 Neutrosophc B-LA-Semgroup Neutrosophc N-LA- Semgroup Mumtaz Al *, Florentn Smarache, Muhammad Shabr 3 Munazza Naz 4,3 Department of Mathematcs, Quad--Azam Unversty,

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

Soft Neutrosophic Bi-LA-semigroup and Soft Neutrosophic N-LA-seigroup

Soft Neutrosophic Bi-LA-semigroup and Soft Neutrosophic N-LA-seigroup Neutrosophc Sets and Systems, Vol. 5, 04 45 Soft Neutrosophc B-LA-semgroup and Soft Mumtaz Al, Florentn Smarandache, Muhammad Shabr 3,3 Department of Mathematcs, Quad--Azam Unversty, Islamabad, 44000,Pakstan.

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

Fuzzy Boundaries of Sample Selection Model

Fuzzy Boundaries of Sample Selection Model Proceedngs of the 9th WSES Internatonal Conference on ppled Mathematcs, Istanbul, Turkey, May 7-9, 006 (pp309-34) Fuzzy Boundares of Sample Selecton Model L. MUHMD SFIIH, NTON BDULBSH KMIL, M. T. BU OSMN

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

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

International Journal of Multidisciplinary Research and Modern Education (IJMRME) ISSN (Online): (

International Journal of Multidisciplinary Research and Modern Education (IJMRME) ISSN (Online): ( ISSN (Onlne): 454-69 (www.rdmodernresearch.com) Volume II, Issue II, 06 BALANCED HESITANCY FUZZY GRAPHS J. Jon Arockara* & T. Pathnathan** * P.G & Research Department of Mathematcs, St. Joseph s College

More information

APPENDIX A Some Linear Algebra

APPENDIX A Some Linear Algebra APPENDIX A Some Lnear Algebra The collecton of m, n matrces A.1 Matrces a 1,1,..., a 1,n A = a m,1,..., a m,n wth real elements a,j s denoted by R m,n. If n = 1 then A s called a column vector. Smlarly,

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

LEVEL SET OF INTUITIONTISTIC FUZZY SUBHEMIRINGS OF A HEMIRING

LEVEL SET OF INTUITIONTISTIC FUZZY SUBHEMIRINGS OF A HEMIRING LEVEL SET OF INTUITIONTISTIC FUZZY SUBHEMIRINGS OF HEMIRING N. NITH ssstant Proessor n Mathematcs, Peryar Unversty PG Extn Centre, Dharmapur 636705. Emal : anthaarenu@gmal.com BSTRCT: In ths paper, we

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

CHAPTER 4 MAX-MIN AVERAGE COMPOSITION METHOD FOR DECISION MAKING USING INTUITIONISTIC FUZZY SETS

CHAPTER 4 MAX-MIN AVERAGE COMPOSITION METHOD FOR DECISION MAKING USING INTUITIONISTIC FUZZY SETS 56 CHAPER 4 MAX-MIN AVERAGE COMPOSIION MEHOD FOR DECISION MAKING USING INUIIONISIC FUZZY SES 4.1 INRODUCION Intutonstc fuzz max-mn average composton method s proposed to construct the decson makng 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

A New Algorithm for Finding a Fuzzy Optimal. Solution for Fuzzy Transportation Problems

A New Algorithm for Finding a Fuzzy Optimal. Solution for Fuzzy Transportation Problems Appled Mathematcal Scences, Vol. 4, 200, no. 2, 79-90 A New Algorthm for Fndng a Fuzzy Optmal Soluton for Fuzzy Transportaton Problems P. Pandan and G. Nataraan Department of Mathematcs, School of Scence

More information

Neutrosophic Ideals of Γ-Semirings

Neutrosophic Ideals of Γ-Semirings ISSN: 1304-7981 Number: 6, Year: 014, Pages: 51-61 http://jnrs.gop.edu.tr Receved: 09.06.014 Accepted: 01.07.014 Edtors-n-Chef : Nam Çağman Area Edtor: Oktay Muhtaroglu Neutrosophc Ideals of Γ-Semrngs

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

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

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

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

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

Yong Joon Ryang. 1. Introduction Consider the multicommodity transportation problem with convex quadratic cost function. 1 2 (x x0 ) T Q(x x 0 )

Yong Joon Ryang. 1. Introduction Consider the multicommodity transportation problem with convex quadratic cost function. 1 2 (x x0 ) T Q(x x 0 ) Kangweon-Kyungk Math. Jour. 4 1996), No. 1, pp. 7 16 AN ITERATIVE ROW-ACTION METHOD FOR MULTICOMMODITY TRANSPORTATION PROBLEMS Yong Joon Ryang Abstract. The optmzaton problems wth quadratc constrants often

More information

Bitopological spaces via Double topological spaces

Bitopological spaces via Double topological spaces topologcal spaces va Double topologcal spaces KNDL O TNTWY SEl-Shekh M WFE Mathematcs Department Faculty o scence Helwan Unversty POox 795 aro Egypt Mathematcs Department Faculty o scence Zagazg Unversty

More information

International Journal of Mathematical Archive-3(3), 2012, Page: Available online through ISSN

International Journal of Mathematical Archive-3(3), 2012, Page: Available online through   ISSN Internatonal Journal of Mathematcal Archve-3(3), 2012, Page: 1136-1140 Avalable onlne through www.ma.nfo ISSN 2229 5046 ARITHMETIC OPERATIONS OF FOCAL ELEMENTS AND THEIR CORRESPONDING BASIC PROBABILITY

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

Linear programming with Triangular Intuitionistic Fuzzy Number

Linear programming with Triangular Intuitionistic Fuzzy Number EUSFLAT-LFA 2011 July 2011 Ax-les-Bans, France Lnear programmng wth Trangular Intutonstc Fuzzy Number Dpt Dubey 1 Aparna Mehra 2 1 Department of Mathematcs, Indan Insttute of Technology, Hauz Khas, New

More information

SL n (F ) Equals its Own Derived Group

SL n (F ) Equals its Own Derived Group Internatonal Journal of Algebra, Vol. 2, 2008, no. 12, 585-594 SL n (F ) Equals ts Own Derved Group Jorge Macel BMCC-The Cty Unversty of New York, CUNY 199 Chambers street, New York, NY 10007, USA macel@cms.nyu.edu

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

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

Ali Omer Alattass Department of Mathematics, Faculty of Science, Hadramout University of science and Technology, P. O. Box 50663, Mukalla, Yemen

Ali Omer Alattass Department of Mathematics, Faculty of Science, Hadramout University of science and Technology, P. O. Box 50663, Mukalla, Yemen Journal of athematcs and Statstcs 7 (): 4448, 0 ISSN 5493644 00 Scence Publcatons odules n σ[] wth Chan Condtons on Small Submodules Al Omer Alattass Department of athematcs, Faculty of Scence, Hadramout

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

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons

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

Interactive Bi-Level Multi-Objective Integer. Non-linear Programming Problem

Interactive Bi-Level Multi-Objective Integer. Non-linear Programming Problem Appled Mathematcal Scences Vol 5 0 no 65 3 33 Interactve B-Level Mult-Objectve Integer Non-lnear Programmng Problem O E Emam Department of Informaton Systems aculty of Computer Scence and nformaton Helwan

More information

Kybernetika. Masahiro Inuiguchi Calculations of graded ill-known sets. Terms of use: Persistent URL:

Kybernetika. Masahiro Inuiguchi Calculations of graded ill-known sets. Terms of use: Persistent URL: Kybernetka Masahro Inuguch Calculatons of graded ll-known sets Kybernetka, Vol. 50 (04), No., 6 33 Persstent URL: http://dml.cz/dmlcz/43790 Terms of use: Insttute of Informaton Theory and Automaton AS

More information

5 The Rational Canonical Form

5 The Rational Canonical Form 5 The Ratonal Canoncal Form Here p s a monc rreducble factor of the mnmum polynomal m T and s not necessarly of degree one Let F p denote the feld constructed earler n the course, consstng of all matrces

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

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

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

Projective change between two Special (α, β)- Finsler Metrics

Projective change between two Special (α, β)- Finsler Metrics Internatonal Journal of Trend n Research and Development, Volume 2(6), ISSN 2394-9333 www.jtrd.com Projectve change between two Specal (, β)- Fnsler Metrcs Gayathr.K 1 and Narasmhamurthy.S.K 2 1 Assstant

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

Section 8.3 Polar Form of Complex Numbers

Section 8.3 Polar Form of Complex Numbers 80 Chapter 8 Secton 8 Polar Form of Complex Numbers From prevous classes, you may have encountered magnary numbers the square roots of negatve numbers and, more generally, complex numbers whch are the

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

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

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS BOUNDEDNESS OF THE IESZ TANSFOM WITH MATIX A WEIGHTS Introducton Let L = L ( n, be the functon space wth norm (ˆ f L = f(x C dx d < For a d d matrx valued functon W : wth W (x postve sem-defnte for all

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

Irene Hepzibah.R 1 and Vidhya.R 2

Irene Hepzibah.R 1 and Vidhya.R 2 Internatonal Journal of Scentfc & Engneerng Research, Volume 5, Issue 3, March-204 374 ISSN 2229-558 INTUITIONISTIC FUZZY MULTI-OBJECTIVE LINEAR PROGRAMMING PROBLEM (IFMOLPP) USING TAYLOR SERIES APPROACH

More information

The Second Eigenvalue of Planar Graphs

The Second Eigenvalue of Planar Graphs Spectral Graph Theory Lecture 20 The Second Egenvalue of Planar Graphs Danel A. Spelman November 11, 2015 Dsclamer These notes are not necessarly an accurate representaton of what happened n class. The

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

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

VARIATION OF CONSTANT SUM CONSTRAINT FOR INTEGER MODEL WITH NON UNIFORM VARIABLES

VARIATION OF CONSTANT SUM CONSTRAINT FOR INTEGER MODEL WITH NON UNIFORM VARIABLES VARIATION OF CONSTANT SUM CONSTRAINT FOR INTEGER MODEL WITH NON UNIFORM VARIABLES BÂRZĂ, Slvu Faculty of Mathematcs-Informatcs Spru Haret Unversty barza_slvu@yahoo.com Abstract Ths paper wants to contnue

More information

On the correction of the h-index for career length

On the correction of the h-index for career length 1 On the correcton of the h-ndex for career length by L. Egghe Unverstet Hasselt (UHasselt), Campus Depenbeek, Agoralaan, B-3590 Depenbeek, Belgum 1 and Unverstet Antwerpen (UA), IBW, Stadscampus, Venusstraat

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

SMARANDACHE-GALOIS FIELDS

SMARANDACHE-GALOIS FIELDS SMARANDACHE-GALOIS FIELDS W. B. Vasantha Kandasamy Deartment of Mathematcs Indan Insttute of Technology, Madras Chenna - 600 036, Inda. E-mal: vasantak@md3.vsnl.net.n Abstract: In ths aer we study the

More information

Quantum and Classical Information Theory with Disentropy

Quantum and Classical Information Theory with Disentropy Quantum and Classcal Informaton Theory wth Dsentropy R V Ramos rubensramos@ufcbr Lab of Quantum Informaton Technology, Department of Telenformatc Engneerng Federal Unversty of Ceara - DETI/UFC, CP 6007

More information

A Hybrid Variational Iteration Method for Blasius Equation

A Hybrid Variational Iteration Method for Blasius Equation Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 10, Issue 1 (June 2015), pp. 223-229 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) A Hybrd Varatonal Iteraton Method

More information

Reliability Evaluation using Triangular Intuitionistic Fuzzy Numbers Arithmetic Operations

Reliability Evaluation using Triangular Intuitionistic Fuzzy Numbers Arithmetic Operations World cademy of Scence Engneerng Technology Internatonal Journal of Computer Informaton Engneerng Vol: No: 009 elablty Evaluaton usng Trangular Intutonstc Fuzzy Numbers rthmetc Operatons G. S. Mahapatra

More information

Algebraic Solutions to Multidimensional Minimax Location Problems with Chebyshev Distance

Algebraic Solutions to Multidimensional Minimax Location Problems with Chebyshev Distance Recent Researches n Appled and Computatonal Mathematcs Algebrac Solutons to Multdmensonal Mnmax Locaton Problems wth Chebyshev Dstance NIKOLAI KRIVULIN Faculty of Mathematcs and Mechancs St Petersburg

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

INTUITIONISTIC FUZZY GRAPH STRUCTURES

INTUITIONISTIC FUZZY GRAPH STRUCTURES Kragujevac Journal of Mathematcs Volume 41(2) (2017), Pages 219 237. INTUITIONISTIC FUZZY GRAPH STRUCTURES MUHAMMAD AKRAM 1 AND RABIA AKMAL 2 Abstract. In ths paper, we ntroduce the concept of an ntutonstc

More information

A Simple Research of Divisor Graphs

A Simple Research of Divisor Graphs The 29th Workshop on Combnatoral Mathematcs and Computaton Theory A Smple Research o Dvsor Graphs Yu-png Tsao General Educaton Center Chna Unversty o Technology Tape Tawan yp-tsao@cuteedutw Tape Tawan

More information

Neryškioji dichotominių testo klausimų ir socialinių rodiklių diferencijavimo savybių klasifikacija

Neryškioji dichotominių testo klausimų ir socialinių rodiklių diferencijavimo savybių klasifikacija Neryškoj dchotomnų testo klausmų r socalnų rodklų dferencjavmo savybų klasfkacja Aleksandras KRYLOVAS, Natalja KOSAREVA, Julja KARALIŪNAITĖ Technologcal and Economc Development of Economy Receved 9 May

More information

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

A new approach towards characterization of semicompactness of fuzzy topological space and its crisp subsets 2013 (2013) 1-6 Avalable onlne at www.spacs.com/jfsva Volume 2013, Year 2013 Artcle ID jfsva-00133, 6 Pages do:10.5899/2013/jfsva-00133 Research Artcle A new approach towards characterzaton of semcompactness

More information

On Graphs with Same Distance Distribution

On Graphs with Same Distance Distribution Appled Mathematcs, 07, 8, 799-807 http://wwwscrporg/journal/am ISSN Onlne: 5-7393 ISSN Prnt: 5-7385 On Graphs wth Same Dstance Dstrbuton Xulang Qu, Xaofeng Guo,3 Chengy Unversty College, Jme Unversty,

More information

The lower and upper bounds on Perron root of nonnegative irreducible matrices

The lower and upper bounds on Perron root of nonnegative irreducible matrices Journal of Computatonal Appled Mathematcs 217 (2008) 259 267 wwwelsevercom/locate/cam The lower upper bounds on Perron root of nonnegatve rreducble matrces Guang-Xn Huang a,, Feng Yn b,keguo a a College

More information

Fuzzy Rings and Anti Fuzzy Rings With Operators

Fuzzy Rings and Anti Fuzzy Rings With Operators OSR Journal of Mathemats (OSR-JM) e-ssn: 2278-5728, p-ssn: 2319-765X. Volume 11, ssue 4 Ver. V (Jul - ug. 2015), PP 48-54 www.osrjournals.org Fuzzy Rngs and nt Fuzzy Rngs Wth Operators M.Z.lam Department

More information

Application of Fuzzy Algebra in Automata theory

Application of Fuzzy Algebra in Automata theory Amercan Journal of Engneerng Research (AJER) e-issn: 2320-0847 p-issn : 2320-0936 Volume-5, Issue-2, pp-21-26 www.ajer.org Research Paper Applcaton of Fuzzy Algebra n Automata theory Kharatt Lal Dept.

More information

Lecture 3. Ax x i a i. i i

Lecture 3. Ax x i a i. i i 18.409 The Behavor of Algorthms n Practce 2/14/2 Lecturer: Dan Spelman Lecture 3 Scrbe: Arvnd Sankar 1 Largest sngular value In order to bound the condton number, we need an upper bound on the largest

More information

Discrete Mathematics. Laplacian spectral characterization of some graphs obtained by product operation

Discrete Mathematics. Laplacian spectral characterization of some graphs obtained by product operation Dscrete Mathematcs 31 (01) 1591 1595 Contents lsts avalable at ScVerse ScenceDrect Dscrete Mathematcs journal homepage: www.elsever.com/locate/dsc Laplacan spectral characterzaton of some graphs obtaned

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

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

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

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

College of Computer & Information Science Fall 2009 Northeastern University 20 October 2009

College of Computer & Information Science Fall 2009 Northeastern University 20 October 2009 College of Computer & Informaton Scence Fall 2009 Northeastern Unversty 20 October 2009 CS7880: Algorthmc Power Tools Scrbe: Jan Wen and Laura Poplawsk Lecture Outlne: Prmal-dual schema Network Desgn:

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

Beyond Zudilin s Conjectured q-analog of Schmidt s problem

Beyond Zudilin s Conjectured q-analog of Schmidt s problem Beyond Zudln s Conectured q-analog of Schmdt s problem Thotsaporn Ae Thanatpanonda thotsaporn@gmalcom Mathematcs Subect Classfcaton: 11B65 33B99 Abstract Usng the methodology of (rgorous expermental mathematcs

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng

More information

MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS

MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS These are nformal notes whch cover some of the materal whch s not n the course book. The man purpose s to gve a number of nontrval examples

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

For now, let us focus on a specific model of neurons. These are simplified from reality but can achieve remarkable results.

For now, let us focus on a specific model of neurons. These are simplified from reality but can achieve remarkable results. Neural Networks : Dervaton compled by Alvn Wan from Professor Jtendra Malk s lecture Ths type of computaton s called deep learnng and s the most popular method for many problems, such as computer vson

More information

An Introduction to Morita Theory

An Introduction to Morita Theory An Introducton to Morta Theory Matt Booth October 2015 Nov. 2017: made a few revsons. Thanks to Nng Shan for catchng a typo. My man reference for these notes was Chapter II of Bass s book Algebrac K-Theory

More information

Refined Coding Bounds for Network Error Correction

Refined Coding Bounds for Network Error Correction Refned Codng Bounds for Network Error Correcton Shenghao Yang Department of Informaton Engneerng The Chnese Unversty of Hong Kong Shatn, N.T., Hong Kong shyang5@e.cuhk.edu.hk Raymond W. Yeung Department

More information

Randić Energy and Randić Estrada Index of a Graph

Randić Energy and Randić Estrada Index of a Graph EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 5, No., 202, 88-96 ISSN 307-5543 www.ejpam.com SPECIAL ISSUE FOR THE INTERNATIONAL CONFERENCE ON APPLIED ANALYSIS AND ALGEBRA 29 JUNE -02JULY 20, ISTANBUL

More information

8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS

8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS SECTION 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS 493 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS All the vector spaces you have studed thus far n the text are real vector spaces because the scalars

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

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

P.P. PROPERTIES OF GROUP RINGS. Libo Zan and Jianlong Chen

P.P. PROPERTIES OF GROUP RINGS. Libo Zan and Jianlong Chen Internatonal Electronc Journal of Algebra Volume 3 2008 7-24 P.P. PROPERTIES OF GROUP RINGS Lbo Zan and Janlong Chen Receved: May 2007; Revsed: 24 October 2007 Communcated by John Clark Abstract. A rng

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

Appendix B. The Finite Difference Scheme

Appendix B. The Finite Difference Scheme 140 APPENDIXES Appendx B. The Fnte Dfference Scheme In ths appendx we present numercal technques whch are used to approxmate solutons of system 3.1 3.3. A comprehensve treatment of theoretcal and mplementaton

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

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