Caps and Colouring Steiner Triple Systems

Size: px
Start display at page:

Download "Caps and Colouring Steiner Triple Systems"

Transcription

1 Desgns, Codes and Cryptography, 13, (1998) c 1998 Kluwer Academc Publshers, Boston. Manufactured n The Netherlands. Caps and Colourng Stener Trple Systems AIDEN BRUEN* Department of Mathematcs, Unversty of Western Ontaro, London, ON, N6A 5B7 Canada LUCIEN HADDAD Department of Mathematcs and CS, Royal Mltary College, P.O. Box 17000, STN Forces, Kngston, ON, K7K 7B4, Canada DAVID WEHLAU Department of Mathematcs and CS, Royal Mltary College, P.O. Box 17000, STN Forces, Kngston, ON, K7K 7B4, Canada Communcated by: J. W. P. Hrschfeld Receved October 3, 1994; Accepted October 25, 1996 Abstract. Hll [6] showed that the largest cap n PG(5, 3) has cardnalty 56. Usng ths cap t s easy to construct a cap of cardnalty 45 n AG(5, 3). Here we show that the sze of a cap n AG(5, 3) s bounded above by 48. We also gve an example of three dsjont 45-caps n AG(5, 3). Usng these two results we are able to prove that the Stener trple system AG(5, 3) s 6-chromatc, and so we exhbt the frst specfc example of a 6-chromatc Stener trple system. Keywords: caps, Stener trple systems, colourng Let F n 3 denote the vector space of dmenson n over F 3, the feld of order 3, and let AG(n, 3) be the set of all cosets of F n 3. Then AG(n, 3) s called the affne geometry of dmenson n over F 3.Fork=0,...,n,ak-flat of AG(n, 3) s a coset of a subspace of dmenson k. The ponts of AG(n, 3) are the 0-flats and they are dentfed wth the vectors of F n 3. The projectve geometry PG(n, 3) s defned as the space of equvalance classes (AG(n + 1, 3)\{ 0})/ where x y f c F 3 such that x = cy. Fork 0, the mage of a (k +1)-flat n AG(n, 3) s defned to be a k-flat of PG(n, 3). In both AG(n, 3) and PG(n, 3), the 1-flats are called lnes, the 2-flats are called planes and the (n 1)-flats are called hyperplanes. A subset of AG(n, 3) or PG(n, 3) s called a cap f no three of ts ponts are collnear,.e., f no three of ts ponts le n the same 1-flat. A cap of cardnalty k s called a k-cap. We wll need some results about the sze and structure of caps n AG(4, 3) and AG(5, 3). We denote by β(ag(n,3)) the largest nteger k for whch there exsts a k-cap n AG(n, 3). It s easy to see that β(ag(1,3)) = 2 and β(ag(2,3)) = 4. That β(ag(3,3)) = 9 s well known (see [8]). Pellegrno [9] showed that β(ag(4,3)) = 20. In ths paper we show that 45 β(ag(5,3)) 48. A Stener trple system of order v (an STS(v)) s a par S = (V (S), T ) where V (S) s a v-set and T s a collecton of trples (subsets of V (S) of cardnalty 3) such that each par of dstnct elements of S les n exactly one trple of T. It s well known that a STS(v) * Ths research s partally supported by NSERC Grants.

2 52 BRUEN, HADDAD AND WEHLAU exsts ff v 1 or 3 (mod 6), such an nteger s called admssble. Moreover t s easy to verfy that the set of all ponts of AG(n, 3) together wth ts lnes forms an STS(3 n ). An r-colourng of a STS, S = (V (S), T ), s a parttonng of the vertex set V (S) nto r dsjont subsets such that no trple of T s contaned entrely n one of these r subsets. If an STS(v), S, has an r-colourng but no (r 1)-colourng then we say that S s r-chromatc. We pont out n passng that the exstence of STS s wth prescrbed chromatc number r 5 s far from beng straghtforward and s shown (only) by non-constructve methods n [1], and moreover, the frst specfc example of a 5-chromatc STS s gven n [3]. It s often extremely hard to show that a gven STS cannot be k-coloured when k 4 (cf. the calculaton done n [3]). Here we wll gve a relatvely short proof that AG(5, 3) does not admt a 5-colourng. Let φ(n) denote the number of hyperplanes n AG(n, 3), and for j = 1, 2, let φ(j,n) denote the number of dstnct hyperplanes passng through j fxed ponts. It s well known (e.g., see [10]) that φ(2,n) = 3 n 3 3 n 1 3 n 2 3, φ(1,n) = 3 n 1 n 3 3n 2 3 n 1 3n 2, φ(n) = 3φ(1,n). Now f 3 ponts do not form a lne, then they determne a unque plane and there are (3 n 3 l ) 2 l n 2 (3 n 1 3 l ) dstnct hyperplanes through any plane n AG(n, 3) where n 4 (ths number s clearly one f n = 3). Let n 4 and C AG(n, 3) be a set of cardnalty t. For 0 t, defne n := {Ksuch that K s a hyperplane and K C =}. Consder the followng equatons (see [4] and [7]): Clearly n = 3 n 1 3 n 1 3 n 1 3 n 2 and countng the number of pars {p, K } where p s a pont of the hyperplane K and p C we fnd n = 3 n 2 3 n 1 3 n 1 3 n 2t. Now countng trples {p 1, p 2, K } such that K s a hyperplane and {p 1, p 2 } C Kgves ( ) n = 3 n 3 3 n ( ) 1 t. 2 3 n 2 3 n 3 2 Moreover suppose that the set C s a cap, then by countng quadruples {p 1, p 2, p 3, K } where K s a hyperplane and {p 1, p 2, p 3 } C Kwe obtan ( ) n = (3 n 3 l ( ) ) t. 3 (3 n 1 3 l ) 3 2 l n 2 Consder now a cubc polynomal ( P() := ( r 1 )( r 2 )( r 3 ). Then there are numbers a 3,...,a 0 such that P() = a ( 3 3) + a2 2) + a1 + a 0. Thus ( ) ( ) P()n = a 3 n + a 2 n + a 1 n +a 0 n 3 2

3 CAPS AND COLOURING STEINER TRIPLE SYSTEMS 53 = a 3 2 l n 2 (3 n 3 l ) (3 n 1 3 l ) ( ) t + a 2 3 n 3 3 n n 2 3 n 3 ( ) t 2 + a 1 3 n 2 3 n 1 3 n 1 3 t + a 03 n 1 3 n 1 n 2 3 n 1 3. n 2 Ths sum s a cubc polynomal of t, whch s denoted f P (t). We may use f P (t) to study C. For example we may choose the roots r 1, r 2 and r 3 of P() such that f n 0 then P() 0. Wth such a choce, f P (t) s necessarly nonnegatve and ths gves nformaton about the value of t. Now Pellegrno showed n [9] that the largest caps n PG(4, 3) have cardnalty 20. Snce one of the caps he constructed actually les n AG(4, 3) PG(4, 3), ths proved β(ag(4, 3)) = 20. In [5] Hll classfed all nonsomorphc 20-caps n PG(4, 3). Only one of the nequvalent 20-caps s contaned n an affne subspace of PG(4, 3), and ts ntersectons wth the 120 dfferent hyperplanes of AG(4, 3) gve the followng values for the n n 2 = 10, n 6 = 60, n 8 = 30, n 9 = 20 and n = 0 for n 2, 6, 8, 9. (1) A drect proof of these facts can be found n [7]. It follows easly from (1) that f C s a 20-cap n AG(4, 3), and L 1, L 2 and L 3 are three parallel hyperplanes, then { C L 1, C L 2, C L 3 } {{2, 9, 9}, {6, 6, 8}}. Moreover, n [6], Hll shows that the largest cap n PG(5, 3) has cardnalty 56 and ths cap s unque up to somorphsm. Ths fact s reported n the concluson of [2] where t s conjectured that β(ag(5,3)) = 45. We wll show that 45 β(ag(5,3)) 48. Hll showed that f C s hs 56-cap and H s any hyperplane of PG(5, 3) then C H {11, 20}. If we choose H wth C H =11 then C\(C H) s a 45-cap n (PG(5, 3)\H) = AG(5, 3). To prove that β(ag(5,3)) 48 we frst need the followng lemma. LEMMA 1 Let C be a 49-cap n AG(5, 3). Then there s a hyperplane H of AG(5, 3) such that C H =9. Proof. Frst note that there s no hyperplane H 0 such that C H 0 8, as otherwse one of the two hyperplanes parallel to H 0 would have to contan at least 21 elements of C. Consder now the polynomal P() := ( 11)( 17)( 18). Note that P() 0 for all ntegers 11. Thus n P 0 for all ntegers except possbly = 9, 10. Now P()n = f P (49) = 92. (2) Hence at least one of n 9 or n 10 s nonzero. Now f H 1 s any hyperplane such that C H 1 = 10, then the two hyperplanes H 2 and H 3 parallel to t satsfy { C H 2, C H 3 }={19, 20}. Thus n 19 n 10 and n 20 n 10. Suppose now that n 9 = 0. Then from (2) we have P(10)n 10 + P(19)n 19 + P(20)n 20 + A = 92, where A 0. As n 19 n 10 and n 20 n 10, P(10) = 56, P(19) = 16 and P(20) = 54, we deduce that 92 P(10)n 10 + P(19)n 19 + P(20)n 20 P(10)n 10 + P(19)n 10 + P(20)n 10 = ( )n 10,a contradcton. Hence n 9 0.

4 54 BRUEN, HADDAD AND WEHLAU LEMMA 2 β(ag(5,3)) 48 Proof. Let C be a cap n AG(5, 3) of sze 49. By the lemma above, there s a hyperplane H 1 such that C H 1 =9. Now the two hyperplanes H 2 and H 3 parallel to H 1 satsfy C H 2 = C H 3 =20, and thus C H s a maxmal cap of H for = 2, 3. Take K 1 another hyperplane wth K 2 and K 3 the two hyperplanes parallel to K 1, and defne L j := H K j = AG(3,3) for 1, j 3. In addton to H = L 1 L 2 L 3 and K j = L 1 j L 2 j L 3 j we wll also consder the 6 hyperplanes L(, j, k) := L 1 L 2 j L 3k where {, j, k} ={1, 2, 3}. Choose K 1 so that C L 21 =2. From (1), we have that ( C L 21, C L 22, C L 23 ) = (2, 9, 9). Moreover, as mentoned earler, we have { C L 31, C L 32, C L 33 } {{2, 9, 9}, {6, 6, 8}}. Suppose frst that ( C L 31, C L 32, C L 33 ) = (6, 6, 8). Then consderng L(1, 2, 3) we see that C L 11 3and by (1) equalty cannot hold, thus C L Smlarly, consderng K 3 shows that C L 13 2, and thus C L Thus the hyperplane K 2 ether contans at least 21 elements of C or meets C n 20 ponts ncludng exactly 5 ponts lyng n the hyperplane L 12 of K 2, contradctng (1). The cases ( C L 31, C L 32, C L 33 ) {(8,6,6), (6, 8, 6)} are smlar. On the other hand f ( C L 31, C L 32, C L 33 ) = (2, 9, 9), usng L(1, 2, 3), L 2 and L 3 we see that C L 1 j 2for j = 1, 2, 3 a contradcton wth C H 1 =9. The cases ( C L 31, C L 32, C L 33 ) {(9,2,9), (9, 9, 2)} are smlar. COROLLARY 3 The STS(243) AG(5, 3) cannot be 5-coloured. Proof. Assume that AG(5, 3) = C 1 C 2 C 3 C 4 C 5 s a 5-colourng of AG(5, 3) wth C 1 C for = 2, 3, 4, 5. Snce AG(5, 3) =243, we see that C 1 s a cap contanng at least 243 =49 ponts. 5 THEOREM 4 AG(5, 3) s a 6-chromatc STS(243). Proof. The mathematcal software MapleV was used to dscover the followng three parwse dsjont 45-caps C 1, C 2 and C 3 of AG(5, 3). Then a computer program was used to 3-colour the partal STS obtaned by restrctng AG(5, 3) to the 108 = 243 3(45) remanng ponts. We obtaned the followng 6-colourng of AG(5, 3). C 1 :={02201, 02101, 12202, 01211, 21111, 00120, 10221, 00112, 21100, 20210, 11211, 00002, 02020, 10020, 21000, 00010, 11110, 21210, 20120, 11121,00212, 00201, 22220, 02220, 20001, 22001, 21221, 21101, 10112, 22222, 22212, 00110, 02021, 22121, 10111, 21220, 01210, 02102, 20100, 01102, 01110, 22021, 02200, 11221, 22101}; C 2 :={00200, 11112, 10102, 01120, 00222, 20121, 00100, 11101, 02222, 11212, 22012, 20022, 22200, 12220, 22211, 02221, 01202, 10212, 22022, 21122, 22122, 21201, 22210, 02120, 10011, 01201, 00111, 20111, 02011, 21211, 02211, 01101, 00101, 00001, 20201, 21121, 21021, 10100, 00020, 22112, 02012, 21212, 21102, 11202, 02122}; C 3 :={02000, 20010, 22202, 10121, 10002, 12211, 22000, 11122, 21110, 02111, 02202, 21202, 20102, 02212, 11200, 02110, 22100, 01220, 00122, 11220, 01122, 22110, 01222, 21012, 22201, 21120, 00022, 21200, 00102, 11100, 10200, 22010, 00210, 02210, 10120, 00011, 01111, 00121, 00221, 22221, 02002, 20112, 21112, 20222, 21222}; C 4 :={11021, 21002, 01022, 10022, 21022, 12120, 02121, 12212, 11020, 20020, 22120,

5 CAPS AND COLOURING STEINER TRIPLE SYSTEMS , 10000, 12002, 01000, 12000, 12100, 01200, 11120, 01112, 11010, 20220, 01002, 10122, 20021, 12022, 02010, 11201, 10201, 10202, 12101, 20110, 00202, 22002, 20212, 12222}; C 5 :={20000, 11000, 02100, 12110, 10210, 11210, 10001, 01001, 21001, 12001, 10101, 12201, 01011, 21011, 12011, 22011, 00211, 10211, 01121, 20221, 12221, 20002, 11002, 11102, 12102, 22102, 20202, 00012, 10012, 01012, 12012, 12112, 01212, 11022, 02022, 20122}; C 6 :={01100, 20200, 12200, 10010, 01010, 21010, 12010, 10110, 12210, 01020, 21020, 12020, 22020, 00220, 10220, 11001, 02001, 20101, 20011, 11011, 11111, 12111, 22111, 20211, 00021, 10021, 01021, 12021, 12121, 01221, 20012, 11012, 02112, 12122, 10222, 11222}. It s shown n [3] that f v 3 (mod 6) and f there exsts an r-chromatc STS(v), then there exsts an r-chromatc STS(u) for every admssble u 2v + 1. Combnng ths fact wth Theorem 4 we get COROLLARY 5 There exsts a 6-chromatc STS(u) for every admssble u 487. Acknowledgments We thank Jean Fugère for hs help wth the computer program used to fnd a 6-colourng of AG(5, 3). References 1. M. de Brandes, K. T. Phelps and V. Rödl, Colorng Stener trple systems, SIAM J. Alg. Dsc. Math., Vol. 3 (1982) pp T. C. Brown and J. P. Buhler, A densty verson of a geometrc Ramsey theorem, J. Combnat. Theory A, Vol. 32 (1982) pp J. Fugère, L. Haddad and D. Wehlau, 5-chromatc STS s. JCD, Vol. 2, No. 5 (1994) pp D. G. Glynn, A lower bound for maxmal partal spreads n PG(3, q), Ars. Comb., Vol. 13 (1982) pp R. Hll, On Pellegrno s 20-caps n S 4,3. Combnatorcs, Vol. 81 (1981) pp , North-Holland Math. Stud., 78 North-Holland, Amsterdam-New York (1983). 6. R. Hll, Caps and codes, Dscrete Math., Vol. 22 (1978) pp L. Haddad, On the chromatc numbers of Stener trple systems. Preprnt, Dept. of Math & CS, RMC (1994). 8. H. Lenz and H. Zetler, Arcs and ovals n Stener trple systems, n Combnat. Theory. Proc. Conf. Schloss Rauschholzhausen (1982), Lec. Notes Math., Vol Sprnger, Berln, pp G. Pellegrno, Sul massmo ordne delle calotte n S 4,3, Matematche, Vol. 25 (1971) pp A. Street and D. Street, Combnatorcs of Expermental Desgn, Clarendon Press, Oxford (1987).

Anti-van der Waerden numbers of 3-term arithmetic progressions.

Anti-van der Waerden numbers of 3-term arithmetic progressions. Ant-van der Waerden numbers of 3-term arthmetc progressons. Zhanar Berkkyzy, Alex Schulte, and Mchael Young Aprl 24, 2016 Abstract The ant-van der Waerden number, denoted by aw([n], k), s the smallest

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

k(k 1)(k 2)(p 2) 6(p d.

k(k 1)(k 2)(p 2) 6(p d. BLOCK-TRANSITIVE 3-DESIGNS WITH AFFINE AUTOMORPHISM GROUP Greg Gamble Let X = (Z p d where p s an odd prme and d N, and let B X, B = k. Then t was shown by Praeger that the set B = {B g g AGL d (p} s the

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

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

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

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

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

On cyclic of Steiner system (v); V=2,3,5,7,11,13

On cyclic of Steiner system (v); V=2,3,5,7,11,13 On cyclc of Stener system (v); V=,3,5,7,,3 Prof. Dr. Adl M. Ahmed Rana A. Ibraham Abstract: A stener system can be defned by the trple S(t,k,v), where every block B, (=,,,b) contans exactly K-elementes

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

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

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

Department of Mathematical Sciences, Clemson University. The minimum weight of dual codes from projective planes

Department of Mathematical Sciences, Clemson University. The minimum weight of dual codes from projective planes Department of Mathematcal Scences, Clemson Unversty http://www.ces.clemson.edu/ keyj/ The mnmum weght of dual codes from projectve planes J. D. Key keyj@ces.clemson.edu 1/21 P Abstract The mnmum weght

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

Graph Reconstruction by Permutations

Graph Reconstruction by Permutations Graph Reconstructon by Permutatons Perre Ille and Wllam Kocay* Insttut de Mathémathques de Lumny CNRS UMR 6206 163 avenue de Lumny, Case 907 13288 Marselle Cedex 9, France e-mal: lle@ml.unv-mrs.fr Computer

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

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

THERE ARE NO POINTS OF ORDER 11 ON ELLIPTIC CURVES OVER Q.

THERE ARE NO POINTS OF ORDER 11 ON ELLIPTIC CURVES OVER Q. THERE ARE NO POINTS OF ORDER 11 ON ELLIPTIC CURVES OVER Q. IAN KIMING We shall prove the followng result from [2]: Theorem 1. (Bllng-Mahler, 1940, cf. [2]) An ellptc curve defned over Q does not have a

More information

COMPLEX NUMBERS AND QUADRATIC EQUATIONS

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

More information

FINITELY-GENERATED MODULES OVER A PRINCIPAL IDEAL DOMAIN

FINITELY-GENERATED MODULES OVER A PRINCIPAL IDEAL DOMAIN FINITELY-GENERTED MODULES OVER PRINCIPL IDEL DOMIN EMMNUEL KOWLSKI Throughout ths note, s a prncpal deal doman. We recall the classfcaton theorem: Theorem 1. Let M be a fntely-generated -module. (1) There

More information

HMMT February 2016 February 20, 2016

HMMT February 2016 February 20, 2016 HMMT February 016 February 0, 016 Combnatorcs 1. For postve ntegers n, let S n be the set of ntegers x such that n dstnct lnes, no three concurrent, can dvde a plane nto x regons (for example, S = {3,

More information

2.3 Nilpotent endomorphisms

2.3 Nilpotent endomorphisms s a block dagonal matrx, wth A Mat dm U (C) In fact, we can assume that B = B 1 B k, wth B an ordered bass of U, and that A = [f U ] B, where f U : U U s the restrcton of f to U 40 23 Nlpotent endomorphsms

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

Complete subgraphs in multipartite graphs

Complete subgraphs in multipartite graphs Complete subgraphs n multpartte graphs FLORIAN PFENDER Unverstät Rostock, Insttut für Mathematk D-18057 Rostock, Germany Floran.Pfender@un-rostock.de Abstract Turán s Theorem states that every graph G

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

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

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

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

More information

Spectral Graph Theory and its Applications September 16, Lecture 5

Spectral Graph Theory and its Applications September 16, Lecture 5 Spectral Graph Theory and ts Applcatons September 16, 2004 Lecturer: Danel A. Spelman Lecture 5 5.1 Introducton In ths lecture, we wll prove the followng theorem: Theorem 5.1.1. Let G be a planar graph

More information

DONALD M. DAVIS. 1. Main result

DONALD M. DAVIS. 1. Main result v 1 -PERIODIC 2-EXPONENTS OF SU(2 e ) AND SU(2 e + 1) DONALD M. DAVIS Abstract. We determne precsely the largest v 1 -perodc homotopy groups of SU(2 e ) and SU(2 e +1). Ths gves new results about the largest

More information

Finding Dense Subgraphs in G(n, 1/2)

Finding Dense Subgraphs in G(n, 1/2) Fndng Dense Subgraphs n Gn, 1/ Atsh Das Sarma 1, Amt Deshpande, and Rav Kannan 1 Georga Insttute of Technology,atsh@cc.gatech.edu Mcrosoft Research-Bangalore,amtdesh,annan@mcrosoft.com Abstract. Fndng

More information

An efficient algorithm for multivariate Maclaurin Newton transformation

An efficient algorithm for multivariate Maclaurin Newton transformation Annales UMCS Informatca AI VIII, 2 2008) 5 14 DOI: 10.2478/v10065-008-0020-6 An effcent algorthm for multvarate Maclaurn Newton transformaton Joanna Kapusta Insttute of Mathematcs and Computer Scence,

More information

(2mn, m 2 n 2, m 2 + n 2 )

(2mn, m 2 n 2, m 2 + n 2 ) MATH 16T Homewk Solutons 1. Recall that a natural number n N s a perfect square f n = m f some m N. a) Let n = p α even f = 1,,..., k. be the prme factzaton of some n. Prove that n s a perfect square f

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

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

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

Exercise Solutions to Real Analysis

Exercise Solutions to Real Analysis xercse Solutons to Real Analyss Note: References refer to H. L. Royden, Real Analyss xersze 1. Gven any set A any ɛ > 0, there s an open set O such that A O m O m A + ɛ. Soluton 1. If m A =, then there

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

NUMERICAL DIFFERENTIATION

NUMERICAL DIFFERENTIATION NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the

More information

Coordinate-Free Projective Geometry for Computer Vision

Coordinate-Free Projective Geometry for Computer Vision MM Research Preprnts,131 165 No. 18, Dec. 1999. Beng 131 Coordnate-Free Proectve Geometry for Computer Vson Hongbo L, Gerald Sommer 1. Introducton How to represent an mage pont algebracally? Gven a Cartesan

More information

A 2D Bounded Linear Program (H,c) 2D Linear Programming

A 2D Bounded Linear Program (H,c) 2D Linear Programming A 2D Bounded Lnear Program (H,c) h 3 v h 8 h 5 c h 4 h h 6 h 7 h 2 2D Lnear Programmng C s a polygonal regon, the ntersecton of n halfplanes. (H, c) s nfeasble, as C s empty. Feasble regon C s unbounded

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

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 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

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

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

17. Coordinate-Free Projective Geometry for Computer Vision

17. Coordinate-Free Projective Geometry for Computer Vision 17. Coordnate-Free Projectve Geometry for Computer Vson Hongbo L and Gerald Sommer Insttute of Computer Scence and Appled Mathematcs, Chrstan-Albrechts-Unversty of Kel 17.1 Introducton How to represent

More information

REAL ANALYSIS I HOMEWORK 1

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

More information

Introductory Cardinality Theory Alan Kaylor Cline

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

More information

CSCE 790S Background Results

CSCE 790S Background Results CSCE 790S Background Results Stephen A. Fenner September 8, 011 Abstract These results are background to the course CSCE 790S/CSCE 790B, Quantum Computaton and Informaton (Sprng 007 and Fall 011). Each

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

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

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

Modulo Magic Labeling in Digraphs

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

More information

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

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

Smarandache-Zero Divisors in Group Rings

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

More information

On 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

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

Random Walks on Digraphs

Random Walks on Digraphs Random Walks on Dgraphs J. J. P. Veerman October 23, 27 Introducton Let V = {, n} be a vertex set and S a non-negatve row-stochastc matrx (.e. rows sum to ). V and S defne a dgraph G = G(V, S) and a drected

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

5-Chromatic Steiner Triple Systems

5-Chromatic Steiner Triple Systems 5-Chromatic Steiner Triple Systems Jean Fugère Lucien Haddad David Wehlau March 21, 1994 Abstract We show that, up to an automorphism, there is a unique independent set in PG(5,2) that meet every hyperplane

More information

Distribution of subgraphs of random regular graphs

Distribution of subgraphs of random regular graphs Dstrbuton of subgraphs of random regular graphs Zhcheng Gao Faculty of Busness Admnstraton Unversty of Macau Macau Chna zcgao@umac.mo N. C. Wormald Department of Combnatorcs and Optmzaton Unversty of Waterloo

More information

= z 20 z n. (k 20) + 4 z k = 4

= z 20 z n. (k 20) + 4 z k = 4 Problem Set #7 solutons 7.2.. (a Fnd the coeffcent of z k n (z + z 5 + z 6 + z 7 + 5, k 20. We use the known seres expanson ( n+l ( z l l z n below: (z + z 5 + z 6 + z 7 + 5 (z 5 ( + z + z 2 + z + 5 5

More information

On Some Developments of the Erdős-Ginzburg-Ziv Theorem II (personal/extended copy)

On Some Developments of the Erdős-Ginzburg-Ziv Theorem II (personal/extended copy) On Some Developments of the Erdős-Gnzburg-Zv Theorem II (personal/extended copy) Are Balostock, Paul Derker, Davd Grynkewcz and Mark Lotspech August 19, 2001 Abstract. Let S be a sequence of elements from

More information

Problem Do any of the following determine homomorphisms from GL n (C) to GL n (C)?

Problem Do any of the following determine homomorphisms from GL n (C) to GL n (C)? Homework 8 solutons. Problem 16.1. Whch of the followng defne homomomorphsms from C\{0} to C\{0}? Answer. a) f 1 : z z Yes, f 1 s a homomorphsm. We have that z s the complex conjugate of z. If z 1,z 2

More information

Case A. P k = Ni ( 2L i k 1 ) + (# big cells) 10d 2 P k.

Case A. P k = Ni ( 2L i k 1 ) + (# big cells) 10d 2 P k. THE CELLULAR METHOD In ths lecture, we ntroduce the cellular method as an approach to ncdence geometry theorems lke the Szemeréd-Trotter theorem. The method was ntroduced n the paper Combnatoral complexty

More information

n ). This is tight for all admissible values of t, k and n. k t + + n t

n ). This is tight for all admissible values of t, k and n. k t + + n t MAXIMIZING THE NUMBER OF NONNEGATIVE SUBSETS NOGA ALON, HAROUT AYDINIAN, AND HAO HUANG Abstract. Gven a set of n real numbers, f the sum of elements of every subset of sze larger than k s negatve, what

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

MATH 5707 HOMEWORK 4 SOLUTIONS 2. 2 i 2p i E(X i ) + E(Xi 2 ) ä i=1. i=1

MATH 5707 HOMEWORK 4 SOLUTIONS 2. 2 i 2p i E(X i ) + E(Xi 2 ) ä i=1. i=1 MATH 5707 HOMEWORK 4 SOLUTIONS CİHAN BAHRAN 1. Let v 1,..., v n R m, all lengths v are not larger than 1. Let p 1,..., p n [0, 1] be arbtrary and set w = p 1 v 1 + + p n v n. Then there exst ε 1,..., ε

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 p-adic PERRON-FROBENIUS THEOREM

A p-adic PERRON-FROBENIUS THEOREM A p-adic PERRON-FROBENIUS THEOREM ROBERT COSTA AND PATRICK DYNES Advsor: Clayton Petsche Oregon State Unversty Abstract We prove a result for square matrces over the p-adc numbers akn to the Perron-Frobenus

More information

Module 2. Random Processes. Version 2 ECE IIT, Kharagpur

Module 2. Random Processes. Version 2 ECE IIT, Kharagpur Module Random Processes Lesson 6 Functons of Random Varables After readng ths lesson, ou wll learn about cdf of functon of a random varable. Formula for determnng the pdf of a random varable. Let, X be

More information

REDUCTION MODULO p. We will prove the reduction modulo p theorem in the general form as given by exercise 4.12, p. 143, of [1].

REDUCTION MODULO p. We will prove the reduction modulo p theorem in the general form as given by exercise 4.12, p. 143, of [1]. REDUCTION MODULO p. IAN KIMING We wll prove the reducton modulo p theorem n the general form as gven by exercse 4.12, p. 143, of [1]. We consder an ellptc curve E defned over Q and gven by a Weerstraß

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

On the average number of divisors of the sum of digits of squares

On the average number of divisors of the sum of digits of squares Notes on Number heory and Dscrete Mathematcs Prnt ISSN 30 532, Onlne ISSN 2367 8275 Vol. 24, 208, No. 2, 40 46 DOI: 0.7546/nntdm.208.24.2.40-46 On the average number of dvsors of the sum of dgts of squares

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

2 More examples with details

2 More examples with details Physcs 129b Lecture 3 Caltech, 01/15/19 2 More examples wth detals 2.3 The permutaton group n = 4 S 4 contans 4! = 24 elements. One s the dentty e. Sx of them are exchange of two objects (, j) ( to j and

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

Using T.O.M to Estimate Parameter of distributions that have not Single Exponential Family

Using T.O.M to Estimate Parameter of distributions that have not Single Exponential Family IOSR Journal of Mathematcs IOSR-JM) ISSN: 2278-5728. Volume 3, Issue 3 Sep-Oct. 202), PP 44-48 www.osrjournals.org Usng T.O.M to Estmate Parameter of dstrbutons that have not Sngle Exponental Famly Jubran

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

Problem Set 6: Trees Spring 2018

Problem Set 6: Trees Spring 2018 Problem Set 6: Trees 1-29 Sprng 2018 A Average dstance Gven a tree, calculate the average dstance between two vertces n the tree. For example, the average dstance between two vertces n the followng tree

More information

Exhaustive Search for the Binary Sequences of Length 2047 and 4095 with Ideal Autocorrelation

Exhaustive Search for the Binary Sequences of Length 2047 and 4095 with Ideal Autocorrelation Exhaustve Search for the Bnary Sequences of Length 047 and 4095 wth Ideal Autocorrelaton 003. 5. 4. Seok-Yong Jn and Hong-Yeop Song. Yonse Unversty Contents Introducton Background theory Ideal autocorrelaton

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

Restricted divisor sums

Restricted divisor sums ACTA ARITHMETICA 02 2002) Restrcted dvsor sums by Kevn A Broughan Hamlton) Introducton There s a body of work n the lterature on varous restrcted sums of the number of dvsors of an nteger functon ncludng

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

Every planar graph is 4-colourable a proof without computer

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

More information

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

Partitions and compositions over finite fields

Partitions and compositions over finite fields Parttons and compostons over fnte felds Muratovć-Rbć Department of Mathematcs Unversty of Saraevo Zmaa od Bosne 33-35, 71000 Saraevo, Bosna and Herzegovna amela@pmf.unsa.ba Qang Wang School of Mathematcs

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

Linear Approximation with Regularization and Moving Least Squares

Linear Approximation with Regularization and Moving Least Squares Lnear Approxmaton wth Regularzaton and Movng Least Squares Igor Grešovn May 007 Revson 4.6 (Revson : March 004). 5 4 3 0.5 3 3.5 4 Contents: Lnear Fttng...4. Weghted Least Squares n Functon Approxmaton...

More information

A combinatorial problem associated with nonograms

A combinatorial problem associated with nonograms A combnatoral problem assocated wth nonograms Jessca Benton Ron Snow Nolan Wallach March 21, 2005 1 Introducton. Ths work was motvated by a queston posed by the second named author to the frst named author

More information

Math 594. Solutions 1

Math 594. Solutions 1 Math 594. Solutons 1 1. Let V and W be fnte-dmensonal vector spaces over a feld F. Let G = GL(V ) and H = GL(W ) be the assocated general lnear groups. Let X denote the vector space Hom F (V, W ) of lnear

More information

ISSN: ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 3, Issue 1, July 2013

ISSN: ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 3, Issue 1, July 2013 ISSN: 2277-375 Constructon of Trend Free Run Orders for Orthogonal rrays Usng Codes bstract: Sometmes when the expermental runs are carred out n a tme order sequence, the response can depend on the run

More information

European Journal of Combinatorics

European Journal of Combinatorics European Journal of Combnatorcs 0 (009) 480 489 Contents lsts avalable at ScenceDrect European Journal of Combnatorcs journal homepage: www.elsever.com/locate/ejc Tlngs n Lee metrc P. Horak 1 Unversty

More information

Expected Value and Variance

Expected Value and Variance MATH 38 Expected Value and Varance Dr. Neal, WKU We now shall dscuss how to fnd the average and standard devaton of a random varable X. Expected Value Defnton. The expected value (or average value, or

More information

Short running title: A generating function approach A GENERATING FUNCTION APPROACH TO COUNTING THEOREMS FOR SQUARE-FREE POLYNOMIALS AND MAXIMAL TORI

Short running title: A generating function approach A GENERATING FUNCTION APPROACH TO COUNTING THEOREMS FOR SQUARE-FREE POLYNOMIALS AND MAXIMAL TORI Short runnng ttle: A generatng functon approach A GENERATING FUNCTION APPROACH TO COUNTING THEOREMS FOR SQUARE-FREE POLYNOMIALS AND MAXIMAL TORI JASON FULMAN Abstract. A recent paper of Church, Ellenberg,

More information

THE CLASS NUMBER THEOREM

THE CLASS NUMBER THEOREM THE CLASS NUMBER THEOREM TIMUR AKMAN-DUFFY Abstract. In basc number theory we encounter the class group (also known as the deal class group). Ths group measures the extent that a rng fals to be a prncpal

More information

Characterizing the properties of specific binomial coefficients in congruence relations

Characterizing the properties of specific binomial coefficients in congruence relations Eastern Mchgan Unversty DgtalCommons@EMU Master's Theses and Doctoral Dssertatons Master's Theses, and Doctoral Dssertatons, and Graduate Capstone Projects 7-15-2015 Characterzng the propertes of specfc

More information

Erdős-Burgess constant of the multiplicative semigroup of the quotient ring off q [x]

Erdős-Burgess constant of the multiplicative semigroup of the quotient ring off q [x] Erdős-Burgess constant of the multplcatve semgroup of the quotent rng off q [x] arxv:1805.02166v1 [math.co] 6 May 2018 Jun Hao a Haol Wang b Lzhen Zhang a a Department of Mathematcs, Tanjn Polytechnc Unversty,

More information

Lecture 5 Decoding Binary BCH Codes

Lecture 5 Decoding Binary BCH Codes Lecture 5 Decodng Bnary BCH Codes In ths class, we wll ntroduce dfferent methods for decodng BCH codes 51 Decodng the [15, 7, 5] 2 -BCH Code Consder the [15, 7, 5] 2 -code C we ntroduced n the last lecture

More information