European Journal of Operational Research

Size: px
Start display at page:

Download "European Journal of Operational Research"

Transcription

1 European Journal of Operatonal Research 198 (2009) Contents lsts avalable at ScenceDrect European Journal of Operatonal Research journal homepage Stochastcs and Statstcs Convex mult-choce games Characterzatons and monotonc allocaton schemes R. Branze a, *,1, S. Tjs b,1, J. Zarzuelo c a Faculty of Computer Scence, Alexandru Ioan Cuza Unversty, Iasß, Romana b CentER and Department of Econometrcs and Operatons Research, Tlburg Unversty, The Netherlands c Department of Appled Economcs IV, Faculty of Economcs and Busness Admnstraton Basque Country Unversty, Blbao, Span artcle nfo abstract Artcle hstory Receved 3 Aprl 2008 Accepted 24 September 2008 Avalable onlne 1 October 2008 Keywords Mult-choce games Convex games Margnal games Weber set Monotonc allocaton schemes Ths paper focuses on new characterzatons of convex mult-choce games usng the notons of exactness and superaddtvty. Furthermore, level-ncrease monotonc allocaton schemes (lmas) on the class of convex mult-choce games are ntroduced and studed. It turns out that each element of the Weber set of such a game s extendable to a lmas, and the (total) Shapley value for mult-choce games generates a lmas for each convex mult-choce game. Ó 2008 Publshed by Elsever B.V. 1. Introducton Mult-choce games were ntroduced by Hsao and Raghavan (1993a,b) to allow players n a cooperatve envronment to exert any of a fnte number of sutable actvty levels for the stuaton at stake. An extenson of ths model of cooperatve games was ntroduced by Nouweland et al. (1995) to cope wth stuatons where dfferent players mght have dfferent sets of actvty levels to partcpate wth when cooperatng wth other players. Results on mult-choce games can be also found n Nouweland (1993), Kljn et al. (1999), Calvo et al. (2000), Calvo and Santos (2000), Peters and Zank (2005), Grabsch and Lange (2007), Grabsch and Xe (2007). Addtonally, the reader can look at the survey on multchoce cooperatve games n Branze et al. (2005, 2008). Multchoce cooperatve games have been a useful tool for modelng nteracton of players n economc and operatons research stuatons n whch they may have dfferent optons for cooperaton, varyng from non-cooperaton (a partcpaton level 0) to a maxmal partcpaton level. In partcular, mult-choce games can be seen as an approprate analytcal tool for modelng cost allocaton stuatons n whch commodtes are ndvsble goods that are only avalable at a certan fnte number of levels. Our am s to extend * Correspondng author. Tel E-mal addresses branzer@nfoas.ro, branzer@nfo.uac.ro (R. Branze). 1 Fnancal support from the Basque Country Unversty for the research vst n May 2006 s gratefully acknowledged. Ths research has been partally supported by the Unversty of the Basque Country (Project 9/UPV /2003) and DGES Mnstero de Educacíon y Cenca (Project SEJ ). some results concernng tradtonal convex games for convex mult-choce games. Recall that a tradtonal cooperatve game s a par hn; v, where N s a set of players and v s a characterstc functon v 2 N! R wth vð;þ ¼ 0. A game hn; v s called convex f vðs [ TÞþvðS \ TÞ P vðsþþvðtþ for all S; T # N. Convex games are balanced games,.e. the core (cf. Glles (1953)) of such a game s nonempty, where CðvÞ ¼ x 2 R P N 2N x ¼ vðnþ; P 2S x P vðsþ for each S 2 2 N g. Trvally, subgames of convex games are also convex. Recall that for T N, the subgame of v based on S, ðs; v S Þ, s obtaned from hn; v by restrctng attenton to S,.e. v S ðtþ ¼vðTÞ for all T 2 2 S. It s well known that convex games are exact games and total exact games (.e. games whose all subgames are also exact) are convex (cf. Bswas et al. (1999)). Recall that a game hn; v s called exact f for each S 2 2 N n f;g there s an x 2 CðvÞ wth P 2S x ¼ vðsþ. For T N, the margnal game of v based on T s defned by v T ðsþ ¼ vðs [ TÞ vðtþ for each S # N n T. It s well known that a convex game s superaddtve and games whose margnal games are all superaddtve are convex (cf. Branze et al. (2004a), and Martnez-Legaz (1997, 2006)). Recall that a game hn; v s called superaddtve f vðs [ TÞ P vðsþþvðtþ for all S; T # N wth S \ T ¼;. Our work on convex mult-choce games n ths paper s based on defntons and results from Nouweland et al. (1995) and Branze et al. (2005, 2008), that we brefly recall n Secton 2. Then, n Secton 3, we gve new characterzatons of convex mult-choce games usng the notons of exactness and superaddtvty. Inspred by Sprumont (1990), we ntroduce the noton of a levelncrease monotonc allocaton scheme (lmas) for convex multchoce games n Secton 4, and prove that each element of the Weber set of a convex mult-choce game s extendable to a lmas /$ - see front matter Ó 2008 Publshed by Elsever B.V. do /j.ejor

2 572 R. Branze et al. / European Journal of Operatonal Research 198 (2009) We also show there that the (total) Shapley value of a convex mult-choce game (cf. Nouweland et al. (1995)) generates a lmas of the game. We conclude n Secton Prelmnares on mult-choce games Let N be a set of players, usually of the form {1, 2,..., n}, that consder cooperaton n a mult-choce envronment,.e. each player 2 N has a fnte number of feasble partcpaton levels whose set we denote by M ¼f0; 1;...; m g, where m 2 N wth N ¼f1; 2;...g. We consder the product M N ¼ Q 2N M. Each element s ¼ðs 1 ; s 2 ;...; s n Þ2M N specfes a partcpaton profle for players and s referred to as a mult-choce coalton. So, a multchoce coalton ndcates the partcpaton level of each player. Then, m ¼ðm 1 ; m 2 ;...; m n Þ s the players maxmal partcpaton profle that plays the role of the grand coalton, whereas 0 ¼ð0; 0;...; 0Þ plays the role of the empty coalton. We also use the notaton M þ ¼ M nf0g and M N þ ¼ MN nf0g. A cooperatve mult-choce game s a trple hn; m; v, where v M N! R s the characterstc functon wth vð0þ ¼0 that specfes the players potental worth, vðsþ, when they jon ther efforts at any actvty level profle s ¼ðs 1 ;...; s n Þ. For s 2 M N we denote by ðs ; kþ the partcpaton profle where all players except player play at levels defned by s whle player plays at level k 2 M. A useful partcular case s ð0 ; kþ, when only player s actve. We defne the carrer of s by carðsþ ¼f2 Njs > 0g. For s; t 2 M N we use the notaton s 6 t ff s 6 t for each 2 N and defne s ^ t ¼ðmnðs 1 ; t 1 Þ;...; mnðs n ; t n ÞÞ and s _ t ¼ðmaxðs 1 ; t 1 Þ;...; max ðs n ; t n ÞÞ. We denote the set of all mult-choce games wth player set N and maxmal partcpaton profle m by MC N;m. Often, we dentfy a mult-choce game hn; m; v wth ts characterstc functon v. A game v 2 MC N;m s called superaddtve f vðs _ tþ P vðsþþvðtþ for all s; t 2 M N wth s ^ t ¼ 0. A game v 2 MC N;m s called convex f vðs ^ tþþvðs _ tþ P vðsþþvðtþ for all s; t 2 M N ð21þ Relaton (2.1) s equvalent wth vðs þ tþ vðsþ P vðs þ tþ vðsþ; ð22þ for all s;s; t 2 M N satsfyng s 6 s;s ¼ s for all 2 carðtþ and s þ t 2 M N. Relaton (2.2) s obtaned from relaton (2.1) by puttng s and s þ t n the roles of s and t, respectvely. In fact, every game satsfyng relaton (2.2) s convex. In ths paper, relaton (2.2), whch can be seen as the mult-choce extenson of the property of ncreasng margnal contrbutons for coaltons n tradtonal convex games, wll play a key role. Clearly, a convex mult-choce game s superaddtve. In the sequel, we denote the class of convex multchoce games wth player set N and maxmal partcpaton profle m by CMC N;m. Let v 2 MC N;m. We defne M ¼ fð; jþj 2 N; j 2 M g and M þ ¼fð; jþj 2 N; j 2 M þ g. A (level) payoff vector for the game v s a functon x M! R, where for 2 N and j 2 M þ ; x j denotes the payoff to player correspondng to a change of actvty level of ths player from j 1toj, and x 0 ¼ 0 for all 2 N. One can represent a payoff vector for a game v as a P 2N m -dmensonal vector whose coordnates are numbered by the correspondng elements of M þ, where the frst m 1 coordnates represent payoffs for successve levels of player 1, the next m 2 coordnates are payoffs for successve levels of player 2, and so on. For each s 2 M N, the payoff of s accordng to x s XðsÞ ¼ P 2NP s j¼1 x j. Clearly, XðmÞ ¼ P 2N P m j¼1 x j. Let x and y be two payoff vectors for the game v. We say that x s weakly smaller than y f for each s 2 M N XðsÞ 6 YðsÞ A level payoff vector x M! R s called effcent f XðmÞ ¼vðmÞ, and s called level-ncrease ratonal f, for all 2 N and j 2 M þ ; x j s at least the ncrease n worth that player can obtan on hs/her own (.e. workng alone) when he/she changes hs/her actvty level from j 1 to j, that s x j P vðje Þ vððj 1Þe Þ, or, equvalently, x j P vð0 ; jþ vð0 ; j 1Þ. Here, e s the -th standard vector n R N. A level payoff vector whch s both effcent and level-ncrease ratonal s called an mputaton. We denote by IðvÞ the set of mputatons of v 2 MC N;m. The core CðvÞ of a game v 2 MC N;m conssts of all x 2 IðvÞ that satsfy XðsÞ P vðsþ for all s 2 M N,.e. CðvÞ ¼fx 2 IðvÞjXðsÞ P vðsþ for each s 2 M N g A game whose core s nonempty s called a balanced game. We call a balanced mult-choce game hn; m; v an exact game f for each s 2 M N there s an x 2 CðvÞ such that XðsÞ ¼vðsÞ. Let v 2 MC N;m and let u 2 M N. We denote by M N u the subset of MN consstng of mult-choce coaltons s such that s 6 u. The subgame of v wth respect to u; hn; u; v u, s defned by v u ðsþ ¼ vðsþ for each s 2 M N u. We defne the margnal game of v based on u (or the u- margnal game of v), hn; m u; v u,byv u ðsþ ¼ vðs þ uþ vðuþ for each s 2 M N m u. Margnal games of a mult-choce game quantfy the mpact of ncreases of partcpaton levels of players for each gven partcpaton profle n the mult-choce game at stake. The set C mn ðvþ of mnmal core elements of v s defned as fx 2 CðvÞj 9= y 2 CðvÞ st y x and y s weakly smaller than xg Two mportant soluton concepts for mult-choce games, namely the Shapley value and the Weber set (cf. Nouweland et al. (1995)), are based on margnal payoff vectors whch are defned by usng admssble orderngs. Let v 2 MC N;m.Anadmssble orderng (for v) s a bjecton r M þ!f1;...; P 2N m g satsfyng rðð; jþþ < r ðð; j þ 1ÞÞ for all 2 N and j 2f1;...; m 1g. The number of admssble orderngs for v s P 2N m Q! 2N ðm!þ; we denote the set of all admssble orderngs for a game v by NðvÞ. Now, let r 2 NðvÞ and k 2f1;...; P 2N m g. Denote by s r;k the coalton defned by s r;k ¼ max ðfj 2 M jrðð; jþþ 6 kg[f0gþ; for all 2 N. The coalton s r;k s the partcpaton profle reached after k steps accordng to the orderng r. The margnal vector w r;v M! R of v correspondng to r s defned by ¼ vs r;rðð;jþþ vs r;rðð;jþþ 1 ; w r;v j for all 2 N and j 2 M þ. In general, the margnal vectors w r;v ; r 2 NðvÞ, of a mult-choce game v are not necessarly mputatons. For multchoce games, several dfferent Shapley-lke values are known, where the contrbuton on games wth precedence constrants (cf. Fagle and Kern (1992)) played an mportant role. In ths paper we use the Shapley value (cf. Nouweland et al. (1995)) UðvÞ of v 2 MC N;m whch s defned as the average of all margnal vectors of w r;v,.e. Q UðvÞ ¼ U j ðvþ ; U j ðvþ ¼ P 2Nðm!Þ X w r;v! j 2N;j2M þ 2N m r2nðvþ The Weber set, WðvÞ, of a mult-choce game v s the convex hull of the margnal vectors of v,.e. WðvÞ ¼cofw r;v jr 2 NðvÞg. Basc results for convex mult-choce games that are used n ths paper are v 2 CMC N;m ff WðvÞ ¼coðC mn ðvþþ (Theorems and n Branze et al. (2005)); f v 2 CMC N;m then WðvÞ CðvÞ and WðvÞ CðvÞ s possble (see Theorem 11.9 and Example n Branze et al., 2005). Grabsch and Xe (2007) proposed notons related to the core and the Weber set of a mult-choce game, and showed that n case of convexty there s stll equalty between that core and that Weber set of the game. 3. New characterzatons of convex mult-choce games In ths secton, we extend two characterzatons for classcal convex games to the mult-choce settng. Lemma 3.1. Let v 2 CMC N;m and let u 2 M N þ. Then, v u 2 CMC N;m u.

3 R. Branze et al. / European Journal of Operatonal Research 198 (2009) Proof. Note that for s; t 2 M N m u we have v u ðs _ tþþv u ðs ^ tþ ¼vððs _ tþþuþþvððs ^ tþþuþ 2vðuÞ ¼ vððs þ uþ_ðt þ uþþ þ vððs þ uþ^ðt þ uþþ 2vðuÞ P vðs þ uþþvðt þ uþ 2vðuÞ ¼ v u ðsþþv u ðtþ; where the nequalty follows from the convexty of hn; m; v. Snce each convex game s also superaddtve, we conclude from Lemma 3.1 that f v 2 CMC N;m then all ts margnal games are superaddtve. Next, we prove that the converse also holds true. Ths result has been ndependently obtaned for tradtonal cooperatve games hn; v by Branze et al. (2004a) and Martnez-Legaz (1997, 2006). Theorem 3.1. Let v 2 MC N;m. Then the followng assertons are equvalent () For each u 2 M N þ, the u-margnal game v u of v s superaddtve; () v s a convex game. Proof. We stll need to prove that ())(). Suppose that v u s superaddtve. Then (2.1) holds true for all s; t 2 M N wth s ^ t ¼ 0 because v ¼ v 0 s superaddtve. For s ^ t ¼ f 0, take p ¼ s f and q ¼ t f. Snce hn; m f ; v f s superaddtve, we obtan 0 6 v f ðp _ qþ v f ðpþ v f ðqþ ¼ vðp _ q þ f Þ vðpþfþ vðqþfþþvðfþ ¼ vðs _ tþ vðsþ vðtþþvðs^tþ;.e. v s convex. h For a tradtonal cooperatve game hn; v, Bswas et al. (1999) (see also Azrel and Lehrer, 2007) proved that the game s convex f and only f each subgame hs; v, wth S N, s an exact game. In the sequel, we prove that a smlar characterzaton holds true n the mult-choce settng. Proposton 3.1. Each convex mult-choce game v s an exact game. Proof. Accordng to Theorem n Branze et al. (2005), for v 2 CMC N;m ; WðvÞ ¼coðC mn ðvþþ, mplyng that all margnal vectors w r;v are core elements. Take r such that s s one of the ntermedate coaltons between 0 and m. Then, XðsÞ ¼w r;v ðsþ ¼vðsÞ. h Theorem 3.2. Let v 2 MC N;m. Then the followng assertons are equvalent () hn; m; v s convex; () hn; u; v u s exact for each u 2 M N þ. Proof. () ) () follows from Proposton 3.1 because each subgame of a convex game s convex, and hence exact. () ) () Take s; t 2 M N. Snce the subgame v s_t s exact, there s x 2 Cðv s_t Þ such that Xðs ^ tþ ¼v s_t ðs ^ tþ ¼vðs ^ tþ. Now, usng Xðs _ tþ ¼v s_t ðs _ tþ ¼vðs _ tþ, we obtan vðs _ tþþvðs^tþ ¼Xðs _ tþþxðs^tþ ¼XðsÞþXðtÞ P vðsþþvðtþ We note that the two characterzatons of convex mult-choce games provded by Theorems 3.1 and 3.2 do not represent a beneft from the computatonal pont of vew from the orgnal defnton of a convex mult-choce game, but they are nterestng from the theoretcal pont of vew. h 4. Level-ncrease monotonc allocaton schemes Inspred by Sprumont (1990) (see also Hokar, 2000; Thomson, 1983, 1995) who ntroduced and studed the nterestng noton of populaton monotonc allocaton scheme (pmas) for tradtonal cooperatve games, we ntroduce here for mult-choce games the noton of level-ncrease monotonc allocaton scheme (lmas). Recall that a pmas for a (tradtonal) cooperatve game hn; v s an allocaton scheme ½a S; Š S22 N nf;g;2s such that () ða S; Þ 2S 2 Cðv S Þ for each S 2 2 N n f;g, where v S s the subgame correspondng to S; () a S; 6 a T; for all S; T 2 2 N n f;g wth S T and 2 S. Let v 2 MC N;m and let t 2 M N þ. For 2 N, denote the set f1; 2;...; t g by M t. A scheme a ¼½at j Št2MN þ s called a level-ncrease 2N;j2M t monotonc allocaton scheme (lmas) f () a t 2 Cðv t Þ for all t 2 M N þ (stablty condton); () a s j 6 at j for all s; t 2 MN þ wth s 6 t, for all 2 carðsþ and for all j 2 M s (level-ncrease monotoncty condton). The level-ncrease monotoncty condton mples that, f the scheme s used as regulator for the (level) payoff dstrbutons, n the mult-choce subgames players are pad for each one-unt level-ncrease (weakly) more n larger coaltons than n smaller coaltons. We notce that a necessary condton for the exstence of a lmas for a mult-choce game v s the exstence of core elements for v t for each t 2 M N. But ths s not suffcent, as n the case of tradtonal cooperatve games whch can be seen as mult-choce games where each player has exactly two partcpaton levels. A suffcent condton for the exstence of a lmas s the convexty of the game as we see n Theorem 4.1. Let v 2 MC N;m and x 2 WðvÞ. Then we call x lmas extendable f there exsts a lmas ½a t j Št2MN þ such that a m 2N;j2M t j ¼ x j for each 2 N and j 2 M þ. In the next theorem, we show that convex mult-choce games have a lmas. Specfcally, we prove that each Weber set element of a convex mult-choce game s lmas extendable. In the proof, restrctons of r 2 NðvÞ to subgames v t of v wll play a role. It wll be useful to look at such r as beng a sequence of flags f ; 2 N, sgnalng the players turns to one-unt level ncrease accordng to ther sets of partcpaton levels. Then, for each t 2 M N þ, the restrcton of r to t, denoted here by r t, can be obtaned from the sequence of flags of r by removng (notaton * ) for each player 2 N exactly m t flags f startng from the back of that sequence. We llustrate ths procedure n Example 4.1. Example 4.1. Consder a convex mult-choce game hn; m; v wth N ¼f1; 2; 3g; m ¼ð2; 1; 2Þ and r 1 2 NðvÞ expressed n terms of flags as r 1 ¼ðf 3 ; f 1 ; f 3 ; f 2 ; f 1 Þ. Note that ths orderng generates the followng maxmal chan of mult-choce coaltons n M N ð0; 0; 0Þ! f 3 ð0; 0; 1Þ! f 1 ð1; 0; 1Þ! f 3 ð1; 0; 2Þ! f 2 ð1; 1; 2Þ! f 1 ð2; 1; 2Þ Now, consder the mult-choce coalton t ¼ð1; 1; 1Þ and the correspondng subgame hn; t; v t. Then, the restrcton of r 1 to t s the orderng r 1 t whch can be expressed n terms of flags as ðf 3 ; f 1 ; ; f 2 ; Þ; t generates the followng maxmal chan of multchoce coaltons n M N t ð0; 0; 0Þ! f 3 ð0; 0; 1Þ! f 1 ð1; 0; 1Þ! f 2 ð1; 1; 1Þ Theorem 4.1. Let v 2 CMC N;m and let x 2 WðvÞ. Then x s lmas extendable.

4 574 R. Branze et al. / European Journal of Operatonal Research 198 (2009) Proof. Snce x s n the convex hull of the margnal vectors w r;v of v, t suffces to prove that each margnal vector w r;v s lmas extendable, because then the rght convex combnaton of these lmas extensons gves a lmas extenson of x. Take r 2 NðvÞ and defne ½a t j Št2MN þ by a t 2N;j2M t j ¼ wrt;vt j for each t 2 M N þ, 2 N and j 2 Mt, where r t s the restrcton of r to t (obtaned va the procedure descrbed above and llustrated n Example 4.1). We clam that ths scheme s a lmas extenson of w r;v. Clearly, a m j ¼ w r;v for each 2 N and j 2 M þ j snce v m ¼ v. Further, each mult-choce subgame v t, t 2 M N þ, s a convex game, and snce w rt;vt 2 Wðv t Þ and Wðv t ÞCðv t Þ (cf. Theorem 11.9 n Branze et al. (2005)), t follows that ða t j Þ 2N;j2M t 2 Cðv t Þ. Hence, the scheme satsfes the stablty condton. To prove the level-ncrease monotoncty condton, take s; t 2 M N þ wth s 6 t; 2 carðsþ, and j 2 Ms M t. We have to show that a s j 6 at j. Now, as j ¼ ¼ vðu wrs;vs j ; jþ vðu ; j 1Þ, where ðu ; jþ s the ntermedary mult-choce coalton n the maxmal chan generated by the restrcton of r to s, when player ncreased hs/her partcpaton level from j 1 to j. Smlarly, a t j ¼ ¼ vðu wrt;vt j ; jþ vðu ; j 1Þ. Note that, snce s 6 t, n the maxmal chan generated by r s the turn of to ncrease hs/her partcpaton level from j 1toj wll come not later than the same turn n the maxmal chan generated by r t, mplyng that ðu ; jþ 6 ðu ; jþ. Furthermore, ðu ; jþ 6 m. Then a s j ¼ vðu ; jþ vðu ; j 1Þ 6 vðu ; jþ vðu ; j 1Þ ¼a t j ; where the nequalty follows from the convexty of v. Specfcally, we used relaton (2.2) wth ðu ; j 1Þ n the role of s; ðu ; j 1Þ n the role of s, and ð0 ; 1Þ n the role of t. Hence, ½a t j Št2MN þ s a lmas 2N;j2M t extenson of w r;v. Further, the total Shapley value (cf. Nouweland et al. (1995)) of a convex mult-choce game, whch s the scheme ½U j ðv t ÞŠ t2mn þ 2N;j2M t wth the Shapley value of each mult-choce subgame v t, s a lmas. One can represent a lmas as a defectve jm N þ jjmþ j-matrx, whose rows correspond to mult-choce coaltons and whose columns correspond to elements of M þ arranged accordng to the ncreasng orderng for players and for each player wth respect to hs/her partcpaton levels. In each row t there s a core element of the mult-choce subgame v t, wth * for all components x j, wth 2 N and j 2ft þ 1;...; m g. h Example 4.2. Consder the convex mult-choce game hn; m; v wth N ¼f1; 2g; m ¼ð2; 1Þ; vðð0; 0ÞÞ ¼ 0; vðð1; 0ÞÞ ¼ 5; vðð2; 0ÞÞ ¼ 6; vðð0; 1ÞÞ ¼ 3; vðð1; 1ÞÞ ¼ 9; vðð2; 1ÞÞ ¼ 13. There are three orderngs on M þ ¼fð1; 1Þ; ð1; 2Þ; ð2; 1Þg r 1 ¼ðf 1 ; f 1 ; f 2 Þ; r 2 ¼ðf 1 ; f 2 ; f 1 Þ and r 3 ¼ðf 2 ; f 1 ; f 1 Þ. The correspondng margnal vectors w r1 ;v ; w r2 ;v r3 ;v ; w are extendable to the followng level-ncrease monotonc schemes Then, the total Shapley value UðvÞ generates the lmas 5. Concludng remarks Our man contrbuton on convex mult-choce games n ths paper s the new noton of lmas and the related results. The ntated study on lmas could be completed by takng nto account the exstng lterature on pmas, because a pmas can be seen as a specal nstance of lmas. Frst, we note that for a classcal convex game not only the Shapley value (cf. Shapley (1953)), but also the constraned egaltaran soluton (cf. Dutta and Ray (1989)) generates a pmas of that game (see also Hokar, 2000). However, a smlar result does not hold for all convex mult-choce games because the constraned egaltaran soluton of such a game s not necessarly a core element (see Example 4.2 n Branze et al., 2007). Second, snce convexty of a mult-choce game s a suffcent condton for the exstence of a lmas, an nterestng topc for further research s to characterze the class of those mult-choce games that possess a lmas. We recall that Sprumont (1990) characterzed the class of classcal cooperatve games that possess a pmas. Now, we notce that the way n whch level-ncrease monotonc schemes are ntroduced and studed n ths paper s qute smlar to the way to extend populaton monotonc allocaton schemes for classcal convex cooperatve games to partcpaton monotonc allocaton schemes (pamas) for convex games wth fuzzy coaltons (cf. Branze et al. (2004b)). Recall that a fuzzy coalton s a vector s 2½0; 1Š N, where s 2½0; 1Š represents the partcpaton level of player, 2 N, and the characterstc functon v assgns to every fuzzy coalton a real number, wth vð0; 0;...; 0Þ ¼0. Then, fuzzy games can be seen as mult-choce games where all players have a contnuum of possble partcpaton levels. However, there s nether a drect relaton between the concepts of lmas and pamas nor a straghtforward way to go from pamas to lmas or the way around. There are three man reasons for ths the dfference between the noton of convex fuzzy game (see Defnton 7.1 and Theorem 7.9 n Branze et al., 2005) and that of convex mult-choce game; the dfference between the (Aubn) core of a fuzzy game and that of the core of a mult-choce game; buldng blocks for a pamas for convex fuzzy games are players total payoffs n fuzzy coaltons nstead of level payoff vectors as n the case of a lmas for convex mult-choce games. Acknowledgements We thank two anonymous referees for ther useful comments and the Edtor for suggestng us a new sgnfcant reference. References Azrel, Y., Lehrer, E., Extendable cooperatve games. Journal of Publc Economc Theory 9, Bswas, A.K., Parthasarathy, T., Potters, J.A.M., Voorneveld, M., Large cores and exactness. Games and Economc Behavor 28, Branze, R., Dmtrov, D., Tjs, S. 2004a. A new characterzaton of convex games. CentER Dscusson Paper , Tlburg Unversty, Tlburg, The Netherlands. Branze, R., Dmtrov, D., Tjs, S., 2004b. Egaltaransm n convex fuzzy games. Mathematcal Socal Scences 47, Branze, R., Dmtrov, D., Tjs, S., Models n Cooperatve Game Theory Crsp, Fuzzy and Mult-Choce Games. Lecture Notes n Economcs and Mathematcal Systems, vol Sprnger. Branze, R., Llorca, N., Sánchez-Sorano, J., Tjs, S., Egaltaransm n Multchoce Games, CentER DP No. 55, Tlburg Unversty, The Netherlands. Branze, R., Dmtrov, D., Tjs, S., Models n Cooperatve Game Theory. Sprnger. Calvo, E., Santos, J.C., A value for multchoce games. Mathematcal Socal Scences 40, Calvo, E., Gutérrez, E., Santos, J.C., The multchoce consstent value. Internatonal Journal of Game Theory 29, Dutta, B., Ray, D., A concept of egaltaransm under partcpaton constrants. Econometrca 57,

5 R. Branze et al. / European Journal of Operatonal Research 198 (2009) Fagle, U., Kern, W., The Shapley value for cooperatve games under precedence constrants. Internatonal Journal of Game Theory 21, Glles, D.B Some Theorems on n-person Games, Ph.D. Thess, Prnceton Unversty, Prnceton, New Jersey. Grabsch, M., Lange, F., Games on lattces, multchoce games and the Shapley value A new approach. Mathematcal Methods of Operatons Research 65, Grabsch, M., Xe, L., A new approach to the Core and Weber set of multchoce games. Mathematcal Methods of Operatons Research 66, Hokar, T., Populaton monotonc solutons on convex games. Internatonal Journal of Game Theory 29, Hsao, C.-R., Raghavan, TES, 1993a. Monotoncty and dummy free property for mult-choce cooperatve games. Internatonal Journal of Game Theory 21, Hsao, C.-R., Raghavan, TES, 1993b. Shapley value for mult-choce cooperatve games (I). Games and Economc Behavor 5, Kljn, F., Slkker, M., Zarzuelo, J., Characterzatons of a mult-choce value. Internatonal Journal of Game Theory 28, Martnez-Legaz, J.E., Two Remarks on Totally Balanced Games TR#317. Department of Mathematcs. The Unversty of Texas, Arlngton. Martnez-Legaz, J.E., Some characterzatons of convex games. In Seeger, A. (Ed.), Recent Advances n Optmzaton, Lecture Notes n Economcs and Mathematcal Systems, vol Sprnger-Verlag, Hedelberg, pp Nouweland, van den, A Games and Graphs n Economc Stuatons, Ph.D. Thess, Tlburg Unversty. Nouweland, van den, A., Potters, J., Tjs, S., Zarzuelo, J., Cores and related soluton concepts for mult-choce games. Mathematcal Methods of Operatons Research 41, Peters, H., Zank, H., The egaltaran soluton for multchoce games. Annals of Operatons Research 137, Shapley, L.S., A value for n-person games. Annals of Mathematcs Studes 28, Sprumont, Y., Populaton monotonc allocaton schemes for cooperatve games wth transferable utlty. Games and Economc Behavor 2, Thomson, W., The far dvson of a fxed supply among a growng populaton. Mathematcs of Operatons Research 8, Thomson, W., Populaton-monotonc allocaton rules. In Barnett, W.A., Mouln, H., Salles, M., Schofeld, N.J. (Eds.), Socal Choce, Welfare and Ethcs. Cambrdge Unversty Press, Cambrdge, pp

Games of Threats. Elon Kohlberg Abraham Neyman. Working Paper

Games of Threats. Elon Kohlberg Abraham Neyman. Working Paper Games of Threats Elon Kohlberg Abraham Neyman Workng Paper 18-023 Games of Threats Elon Kohlberg Harvard Busness School Abraham Neyman The Hebrew Unversty of Jerusalem Workng Paper 18-023 Copyrght 2017

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

The Myerson value in terms of the link agent form: a technical note

The Myerson value in terms of the link agent form: a technical note The Myerson value n terms of the lnk agent form: a techncal note André Casajus (September 2008, ths verson: October 1, 2008, 18:16) Abstract We represent the Myerson (1977) value n terms of the value ntroduced

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

Axiomatizations of Pareto Equilibria in Multicriteria Games

Axiomatizations of Pareto Equilibria in Multicriteria Games ames and Economc Behavor 28, 146154 1999. Artcle ID game.1998.0680, avalable onlne at http:www.dealbrary.com on Axomatzatons of Pareto Equlbra n Multcrtera ames Mark Voorneveld,* Dres Vermeulen, and Peter

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

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

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

Welfare Properties of General Equilibrium. What can be said about optimality properties of resource allocation implied by general equilibrium?

Welfare Properties of General Equilibrium. What can be said about optimality properties of resource allocation implied by general equilibrium? APPLIED WELFARE ECONOMICS AND POLICY ANALYSIS Welfare Propertes of General Equlbrum What can be sad about optmalty propertes of resource allocaton mpled by general equlbrum? Any crteron used to compare

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

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

The Second Anti-Mathima on Game Theory

The Second Anti-Mathima on Game Theory The Second Ant-Mathma on Game Theory Ath. Kehagas December 1 2006 1 Introducton In ths note we wll examne the noton of game equlbrum for three types of games 1. 2-player 2-acton zero-sum games 2. 2-player

More information

Norm Bounds for a Transformed Activity Level. Vector in Sraffian Systems: A Dual Exercise

Norm Bounds for a Transformed Activity Level. Vector in Sraffian Systems: A Dual Exercise ppled Mathematcal Scences, Vol. 4, 200, no. 60, 2955-296 Norm Bounds for a ransformed ctvty Level Vector n Sraffan Systems: Dual Exercse Nkolaos Rodousaks Department of Publc dmnstraton, Panteon Unversty

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

COS 521: Advanced Algorithms Game Theory and Linear Programming

COS 521: Advanced Algorithms Game Theory and Linear Programming COS 521: Advanced Algorthms Game Theory and Lnear Programmng Moses Charkar February 27, 2013 In these notes, we ntroduce some basc concepts n game theory and lnear programmng (LP). We show a connecton

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

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

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

A new construction of 3-separable matrices via an improved decoding of Macula s construction

A new construction of 3-separable matrices via an improved decoding of Macula s construction Dscrete Optmzaton 5 008 700 704 Contents lsts avalable at ScenceDrect Dscrete Optmzaton journal homepage: wwwelsevercom/locate/dsopt A new constructon of 3-separable matrces va an mproved decodng of Macula

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

Structure and Drive Paul A. Jensen Copyright July 20, 2003

Structure and Drive Paul A. Jensen Copyright July 20, 2003 Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 12 10/21/2013. Martingale Concentration Inequalities and Applications

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 12 10/21/2013. Martingale Concentration Inequalities and Applications MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.65/15.070J Fall 013 Lecture 1 10/1/013 Martngale Concentraton Inequaltes and Applcatons Content. 1. Exponental concentraton for martngales wth bounded ncrements.

More information

The First Steps with Alexia, the Average Lexicographic Value Tijs, S.H.

The First Steps with Alexia, the Average Lexicographic Value Tijs, S.H. Tlburg Unversty The Frst Steps wth Alexa, the Average Lexcographc Value Tjs, S.H. Publcaton date: 2005 Lnk to publcaton Ctaton for publshed verson (APA): Tjs, S. H. (2005). The Frst Steps wth Alexa, the

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

Bayesian predictive Configural Frequency Analysis

Bayesian predictive Configural Frequency Analysis Psychologcal Test and Assessment Modelng, Volume 54, 2012 (3), 285-292 Bayesan predctve Confgural Frequency Analyss Eduardo Gutérrez-Peña 1 Abstract Confgural Frequency Analyss s a method for cell-wse

More information

Game Theory. Lecture Notes By Y. Narahari. Department of Computer Science and Automation Indian Institute of Science Bangalore, India February 2008

Game Theory. Lecture Notes By Y. Narahari. Department of Computer Science and Automation Indian Institute of Science Bangalore, India February 2008 Game Theory Lecture Notes By Y. Narahar Department of Computer Scence and Automaton Indan Insttute of Scence Bangalore, Inda February 2008 Chapter 10: Two Person Zero Sum Games Note: Ths s a only a draft

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

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

NP-Completeness : Proofs

NP-Completeness : Proofs NP-Completeness : Proofs Proof Methods A method to show a decson problem Π NP-complete s as follows. (1) Show Π NP. (2) Choose an NP-complete problem Π. (3) Show Π Π. A method to show an optmzaton problem

More information

Economics 101. Lecture 4 - Equilibrium and Efficiency

Economics 101. Lecture 4 - Equilibrium and Efficiency Economcs 0 Lecture 4 - Equlbrum and Effcency Intro As dscussed n the prevous lecture, we wll now move from an envronment where we looed at consumers mang decsons n solaton to analyzng economes full of

More information

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

More information

Lecture Notes on Linear Regression

Lecture Notes on Linear Regression Lecture Notes on Lnear Regresson Feng L fl@sdueducn Shandong Unversty, Chna Lnear Regresson Problem In regresson problem, we am at predct a contnuous target value gven an nput feature vector We assume

More information

Assortment Optimization under MNL

Assortment Optimization under MNL Assortment Optmzaton under MNL Haotan Song Aprl 30, 2017 1 Introducton The assortment optmzaton problem ams to fnd the revenue-maxmzng assortment of products to offer when the prces of products are fxed.

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

Computing Correlated Equilibria in Multi-Player Games

Computing Correlated Equilibria in Multi-Player Games Computng Correlated Equlbra n Mult-Player Games Chrstos H. Papadmtrou Presented by Zhanxang Huang December 7th, 2005 1 The Author Dr. Chrstos H. Papadmtrou CS professor at UC Berkley (taught at Harvard,

More information

Lecture 10 Support Vector Machines II

Lecture 10 Support Vector Machines II Lecture 10 Support Vector Machnes II 22 February 2016 Taylor B. Arnold Yale Statstcs STAT 365/665 1/28 Notes: Problem 3 s posted and due ths upcomng Frday There was an early bug n the fake-test data; fxed

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

Accepted Manuscript. Games of threats. Elon Kohlberg, Abraham Neyman S (17) Reference: YGAME Received date: 30 August 2017

Accepted Manuscript. Games of threats. Elon Kohlberg, Abraham Neyman S (17) Reference: YGAME Received date: 30 August 2017 Accepted Manuscrpt Games of threats Elon Kohlberg, Abraham Neyman PII: S0899-8256(7)3090-2 DOI: https://do.org/0.06/j.geb.207.0.08 eference: YGAME 277 To appear n: Games and Economc Behavor eceved date:

More information

n α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0

n α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0 MODULE 2 Topcs: Lnear ndependence, bass and dmenson We have seen that f n a set of vectors one vector s a lnear combnaton of the remanng vectors n the set then the span of the set s unchanged f that vector

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

Module 9. Lecture 6. Duality in Assignment Problems

Module 9. Lecture 6. Duality in Assignment Problems Module 9 1 Lecture 6 Dualty n Assgnment Problems In ths lecture we attempt to answer few other mportant questons posed n earler lecture for (AP) and see how some of them can be explaned through the concept

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

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

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

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

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

Lecture 12: Discrete Laplacian

Lecture 12: Discrete Laplacian Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly

More information

Problem Set 9 Solutions

Problem Set 9 Solutions Desgn and Analyss of Algorthms May 4, 2015 Massachusetts Insttute of Technology 6.046J/18.410J Profs. Erk Demane, Srn Devadas, and Nancy Lynch Problem Set 9 Solutons Problem Set 9 Solutons Ths problem

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

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

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

Linear Algebra and its Applications

Linear Algebra and its Applications Lnear Algebra and ts Applcatons 4 (00) 5 56 Contents lsts avalable at ScenceDrect Lnear Algebra and ts Applcatons journal homepage: wwwelsevercom/locate/laa Notes on Hlbert and Cauchy matrces Mroslav Fedler

More information

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,

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

MMA and GCMMA two methods for nonlinear optimization

MMA and GCMMA two methods for nonlinear optimization MMA and GCMMA two methods for nonlnear optmzaton Krster Svanberg Optmzaton and Systems Theory, KTH, Stockholm, Sweden. krlle@math.kth.se Ths note descrbes the algorthms used n the author s 2007 mplementatons

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

Tit-For-Tat Equilibria in Discounted Repeated Games with. Private Monitoring

Tit-For-Tat Equilibria in Discounted Repeated Games with. Private Monitoring 1 Tt-For-Tat Equlbra n Dscounted Repeated Games wth Prvate Montorng Htosh Matsushma 1 Department of Economcs, Unversty of Tokyo 2 Aprl 24, 2007 Abstract We nvestgate nfntely repeated games wth mperfect

More information

Remarks on the Properties of a Quasi-Fibonacci-like Polynomial Sequence

Remarks on the Properties of a Quasi-Fibonacci-like Polynomial Sequence Remarks on the Propertes of a Quas-Fbonacc-lke Polynomal Sequence Brce Merwne LIU Brooklyn Ilan Wenschelbaum Wesleyan Unversty Abstract Consder the Quas-Fbonacc-lke Polynomal Sequence gven by F 0 = 1,

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

ON THE EXTENDED HAAGERUP TENSOR PRODUCT IN OPERATOR SPACES. 1. Introduction

ON THE EXTENDED HAAGERUP TENSOR PRODUCT IN OPERATOR SPACES. 1. Introduction ON THE EXTENDED HAAGERUP TENSOR PRODUCT IN OPERATOR SPACES TAKASHI ITOH AND MASARU NAGISA Abstract We descrbe the Haagerup tensor product l h l and the extended Haagerup tensor product l eh l n terms of

More information

First day August 1, Problems and Solutions

First day August 1, Problems and Solutions FOURTH INTERNATIONAL COMPETITION FOR UNIVERSITY STUDENTS IN MATHEMATICS July 30 August 4, 997, Plovdv, BULGARIA Frst day August, 997 Problems and Solutons Problem. Let {ε n } n= be a sequence of postve

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

Market structure and Innovation

Market structure and Innovation Market structure and Innovaton Ths presentaton s based on the paper Market structure and Innovaton authored by Glenn C. Loury, publshed n The Quarterly Journal of Economcs, Vol. 93, No.3 ( Aug 1979) I.

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

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

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

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

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

Solutions to exam in SF1811 Optimization, Jan 14, 2015

Solutions to exam in SF1811 Optimization, Jan 14, 2015 Solutons to exam n SF8 Optmzaton, Jan 4, 25 3 3 O------O -4 \ / \ / The network: \/ where all lnks go from left to rght. /\ / \ / \ 6 O------O -5 2 4.(a) Let x = ( x 3, x 4, x 23, x 24 ) T, where the varable

More information

ON THE EQUIVALENCE OF ORDINAL BAYESIAN INCENTIVE COMPATIBILITY AND DOMINANT STRATEGY INCENTIVE COMPATIBILITY FOR RANDOM RULES

ON THE EQUIVALENCE OF ORDINAL BAYESIAN INCENTIVE COMPATIBILITY AND DOMINANT STRATEGY INCENTIVE COMPATIBILITY FOR RANDOM RULES ON THE EQUIVALENCE OF ORDINAL BAYESIAN INCENTIVE COMPATIBILITY AND DOMINANT STRATEGY INCENTIVE COMPATIBILITY FOR RANDOM RULES Madhuparna Karmokar 1 and Souvk Roy 1 1 Economc Research Unt, Indan Statstcal

More information

Fixed points of IA-endomorphisms of a free metabelian Lie algebra

Fixed points of IA-endomorphisms of a free metabelian Lie algebra Proc. Indan Acad. Sc. (Math. Sc.) Vol. 121, No. 4, November 2011, pp. 405 416. c Indan Academy of Scences Fxed ponts of IA-endomorphsms of a free metabelan Le algebra NAIME EKICI 1 and DEMET PARLAK SÖNMEZ

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

Centro de Investigación Operativa

Centro de Investigación Operativa Centro de Investgacón Operatva I-2008-10 How to dvde a cake when people have dfferent metabolsm? Lusa Carpente, Balbna Casas, Javer Gozálvez, Natvdad Llorca, Manuel Puldo and Joaquín Sánchez-Sorano August

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

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

Chapter 2 A Class of Robust Solution for Linear Bilevel Programming

Chapter 2 A Class of Robust Solution for Linear Bilevel Programming Chapter 2 A Class of Robust Soluton for Lnear Blevel Programmng Bo Lu, Bo L and Yan L Abstract Under the way of the centralzed decson-makng, the lnear b-level programmng (BLP) whose coeffcents are supposed

More information

ANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U)

ANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U) Econ 413 Exam 13 H ANSWERS Settet er nndelt 9 deloppgaver, A,B,C, som alle anbefales å telle lkt for å gøre det ltt lettere å stå. Svar er gtt . Unfortunately, there s a prntng error n the hnt of

More information

PHYS 705: Classical Mechanics. Calculus of Variations II

PHYS 705: Classical Mechanics. Calculus of Variations II 1 PHYS 705: Classcal Mechancs Calculus of Varatons II 2 Calculus of Varatons: Generalzaton (no constrant yet) Suppose now that F depends on several dependent varables : We need to fnd such that has a statonary

More information

Abstract Single Crossing and the Value Dimension

Abstract Single Crossing and the Value Dimension Abstract Sngle Crossng and the Value Dmenson Davd Rahman September 24, 2007 Abstract When auctonng an ndvsble good wthout consumpton externaltes, abstract sngle crossng s necessary and suffcent to mplement

More information

The Minimum Universal Cost Flow in an Infeasible Flow Network

The Minimum Universal Cost Flow in an Infeasible Flow Network Journal of Scences, Islamc Republc of Iran 17(2): 175-180 (2006) Unversty of Tehran, ISSN 1016-1104 http://jscencesutacr The Mnmum Unversal Cost Flow n an Infeasble Flow Network H Saleh Fathabad * M Bagheran

More information

Supplementary Notes for Chapter 9 Mixture Thermodynamics

Supplementary Notes for Chapter 9 Mixture Thermodynamics Supplementary Notes for Chapter 9 Mxture Thermodynamcs Key ponts Nne major topcs of Chapter 9 are revewed below: 1. Notaton and operatonal equatons for mxtures 2. PVTN EOSs for mxtures 3. General effects

More information

REGULAR POSITIVE TERNARY QUADRATIC FORMS. 1. Introduction

REGULAR POSITIVE TERNARY QUADRATIC FORMS. 1. Introduction REGULAR POSITIVE TERNARY QUADRATIC FORMS BYEONG-KWEON OH Abstract. A postve defnte quadratc form f s sad to be regular f t globally represents all ntegers that are represented by the genus of f. In 997

More information

Subjective Uncertainty Over Behavior Strategies: A Correction

Subjective Uncertainty Over Behavior Strategies: A Correction Subjectve Uncertanty Over Behavor Strateges: A Correcton The Harvard communty has made ths artcle openly avalable. Please share how ths access benefts you. Your story matters. Ctaton Publshed Verson Accessed

More information

U.C. Berkeley CS294: Beyond Worst-Case Analysis Luca Trevisan September 5, 2017

U.C. Berkeley CS294: Beyond Worst-Case Analysis Luca Trevisan September 5, 2017 U.C. Berkeley CS94: Beyond Worst-Case Analyss Handout 4s Luca Trevsan September 5, 07 Summary of Lecture 4 In whch we ntroduce semdefnte programmng and apply t to Max Cut. Semdefnte Programmng Recall that

More information

Modeling values for TU-games using generalized versions of consistency, standardness and the null player property

Modeling values for TU-games using generalized versions of consistency, standardness and the null player property ath eth Oper Res (2016) 83:179 205 DOI 10.1007/s00186-015-0525-x ORIGINAL ARTICLE odelng values for TU-games usng generalzed versons of consstency, standardness and the null player property Tadeusz Radzk

More information

Discrete Mathematics

Discrete Mathematics Dscrete Mathematcs 30 (00) 48 488 Contents lsts avalable at ScenceDrect Dscrete Mathematcs journal homepage: www.elsever.com/locate/dsc The number of C 3 -free vertces on 3-partte tournaments Ana Paulna

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

On a direct solver for linear least squares problems

On a direct solver for linear least squares problems ISSN 2066-6594 Ann. Acad. Rom. Sc. Ser. Math. Appl. Vol. 8, No. 2/2016 On a drect solver for lnear least squares problems Constantn Popa Abstract The Null Space (NS) algorthm s a drect solver for lnear

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

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

THE CHVÁTAL-ERDŐS CONDITION AND 2-FACTORS WITH A SPECIFIED NUMBER OF COMPONENTS

THE CHVÁTAL-ERDŐS CONDITION AND 2-FACTORS WITH A SPECIFIED NUMBER OF COMPONENTS Dscussones Mathematcae Graph Theory 27 (2007) 401 407 THE CHVÁTAL-ERDŐS CONDITION AND 2-FACTORS WITH A SPECIFIED NUMBER OF COMPONENTS Guantao Chen Department of Mathematcs and Statstcs Georga State Unversty,

More information

Math 217 Fall 2013 Homework 2 Solutions

Math 217 Fall 2013 Homework 2 Solutions Math 17 Fall 013 Homework Solutons Due Thursday Sept. 6, 013 5pm Ths homework conssts of 6 problems of 5 ponts each. The total s 30. You need to fully justfy your answer prove that your functon ndeed has

More information

One-sided finite-difference approximations suitable for use with Richardson extrapolation

One-sided finite-difference approximations suitable for use with Richardson extrapolation Journal of Computatonal Physcs 219 (2006) 13 20 Short note One-sded fnte-dfference approxmatons sutable for use wth Rchardson extrapolaton Kumar Rahul, S.N. Bhattacharyya * Department of Mechancal Engneerng,

More information

Infinitely Split Nash Equilibrium Problems in Repeated Games

Infinitely Split Nash Equilibrium Problems in Repeated Games Infntely Splt ash Equlbrum Problems n Repeated Games Jnlu L Department of Mathematcs Shawnee State Unversty Portsmouth, Oho 4566 USA Abstract In ths paper, we ntroduce the concept of nfntely splt ash equlbrum

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 CHINESE REMAINDER THEOREM. We should thank the Chinese for their wonderful remainder theorem. Glenn Stevens

THE CHINESE REMAINDER THEOREM. We should thank the Chinese for their wonderful remainder theorem. Glenn Stevens THE CHINESE REMAINDER THEOREM KEITH CONRAD We should thank the Chnese for ther wonderful remander theorem. Glenn Stevens 1. Introducton The Chnese remander theorem says we can unquely solve any par of

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

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

Volume 29, Issue 4. Incomplete third-degree price discrimination, and market partition problem. Yann Braouezec ESILV

Volume 29, Issue 4. Incomplete third-degree price discrimination, and market partition problem. Yann Braouezec ESILV Volume 29, Issue 4 Incomplete thrd-degree prce dscrmnaton, and market partton problem Yann Braouezec ESILV Abstract We ntroduce n ths paper the "ncomplete" thrd-degree prce dscrmnaton, whch s the stuaton

More information

P exp(tx) = 1 + t 2k M 2k. k N

P exp(tx) = 1 + t 2k M 2k. k N 1. Subgaussan tals Defnton. Say that a random varable X has a subgaussan dstrbuton wth scale factor σ< f P exp(tx) exp(σ 2 t 2 /2) for all real t. For example, f X s dstrbuted N(,σ 2 ) then t s subgaussan.

More information