Tight bounds for eternal dominating sets in graphs

Size: px
Start display at page:

Download "Tight bounds for eternal dominating sets in graphs"

Transcription

1 Discree Mahemaics Tigh bounds for eernal dominaing ses in graphs John L. Goldwasser a, William F. Klosermeyer b a Deparmen of Mahemaics, Wes Virginia Universiy, Morganown, WV 6506, USA b School of Compuing, Universiy of Norh Florida, Jacksonville, FL , USA Received 9 January 007; received in revised form 1 June 007; acceped 6 June 007 Available online 16 June 007 Absrac The eernal dominaion number of a graph is he number of guards needed a verices of he graph o defend he graph agains any sequence of aacks a verices. We consider he model in which a mos one guard can move per aack and a guard can move across a mos one edge o defend an aack. We prove ha here are graphs G for which γ G αg+1, where γ G is he eernal dominaion number of G and αg is he independence number of G. This maches he upper bound proved by Klosermeyer and MacGillivray. 007 Elsevier B.V. All righs reserved. Keywords: Dominaing se; Eernal dominaing se; Eernally secure se; Kneser graph 1. Inroducion We consider he problem of defending he verices in a finie, undireced graph from a sequence of aacks [,5,7]. In his problem, guards are locaed a verices, can proec he verices a which hey are locaed, and can move o a neighboring verex o defend an aack here. This paper deals wih he eernal version of he problem in which he sequence of aacks can be infiniely long. Furher, we will allow a mos one guard o move o defend each aack. Oher variaions of his kind of problem have also been sudied, including Roman Dominaion [3,6], Weak Roman Dominaion [4], k-secure ses [1], and eernal m-secure ses [5]. The erm Roman Dominaion sems from he problem s ancien origins in Emperor Consanine s effors o defend he Roman Empire from aackers [6,10 1]. These problems relevance o miliary sraegy is discussed in [9,11]. The open neighborhood of verex v is denoed by Nv, and is closed neighborhood Nv {v} is denoed by N[v]. A dominaing se of G is a se D V such ha, for all v, N[v] D =. Le R = r 1,r,... be an arbirarily long sequence of verices of a graph. The elemens of R are he locaions of a sequence of consecuive aacks a verices, each of which mus be defended by a guard. A se D is an eernal dominaing se also known as an eernally secure se, if for all possible sequences of aacks R = r 1,r,...here exiss a sequence D = D 1,D...of dominaing ses and a sequence of verices v 1,v,...such ha D i+1 = D i \{v i } {r i }, where v i D i N[r i ]. Noe ha v i = r i is possible. The se D i+1 is he se of locaions of he guards afer he aack a r i is defended. If v i = r i, we say ha he guard a v i has moved o r i. address: klosermeyer@homail.com W.F. Klosermeyer X/$ - see fron maer 007 Elsevier B.V. All righs reserved. doi: /j.disc

2 590 J.L. Goldwasser, W.F. Klosermeyer / Discree Mahemaics Someimes we model he evolving sequence D 1,D,...as a wo-player game: Player 1 chooses D 1 and he verices v 1,v,...while Player chooses he verices r 1,r,...Player 1 chooses v i o defend he aack Player makes a r i. The size of a smalles eernal dominaing se in G is he eernal dominaion number also known as he eernal securiy number and is denoed by γ G or simply γ []. In his paper, we prove here exis graphs G for which γ G αg+1, where αg is he size of he larges independen se in G. This improves resuls from [7]. The original problem of bounding he eernal dominaion number by a funcion of he independence number is from Goddard e al. [5], who asked wheher he eernal dominaion number of a graph can be bounded by a consan imes is independence number. Since i is known from Klosermeyer and MacGillivray [7] ha γ G αg+1, for all graphs G, his bound is igh. Cerain large complemens of Kneser graphs are used o obain our resul. In addiion, we deermine he eernal dominaion number of he line graph of K n which is isomorphic o he complemen of a Kneser graph, using inducion in an unusual way.. Background Le θg denoe he clique-covering number of G, i.e., he chromaic number of he complemen of G. Goddard e al. [5] poined ou ha, for all graphs G, αg γ G θg. To see he lefmos inequaliy, imagine a sequence of consecuive aacks a independen verices. To see he righmos inequaliy, observe ha a single guard can eernally defend all verices of a clique. Goddard e al. [5] also proved ha if α = hen γ 3, and conjecured ha here is a consan c such ha γ G c for all graphs wih αg = 3. For each posiive ineger, le F be he larges posiive ineger r such ha here exiss a graph G wih αg = and γ G = r. In[7], i was shown ha 3 F. 1 To see he lower bound, noe ha αc 5 = and γ C 5 = 3, where C 5 is he 5-cycle. Then n disjoin C 5 s form a graph wih independence number n and eernal dominaion number 3n. If you wan o consruc a conneced graph wih he same propery, simply add a verex adjacen o all he ohers. In his paper, we show ha F= for each. The fac ha equaliy acually holds may be a bi surprising in view of he proof of he upper bound in 1 given in [7] which shows roughly ha any graph G wih αg = can be eernally dominaed wih guards so ha a all imes he guards can be pariioned ino independen ses of sizes 1,,..., he proof allows some of hese ses o be empy. Wihou requiring his exra srucure, we show ha cerain graphs sill canno be eernally dominaed by fewer han guards. 3. Tigh bound on eernal dominaion number Le Gn, k be he graph wih verex se equal o he se of all k-subses of an n-se and where wo verices are adjacen if and only if heir inersecion is non-empy so i is he complemen of a Kneser graph. We refer o he elemens of he n-se as symbols and use he inegers 1,,...,no represen hese symbols. To illusrae Gk + k 1,k, when = 1 and k =, he graph is G3, which is simply K 3. Similarly when = and k = we ge G5,, which has 10 verices ha we could label 1,, 1, 3,...,4, 5 and edges such as 1,, 1, 3. However, for our purposes, k will need o be fairly large relaive o, as we describe below. Theorem 1. For each posiive ineger, if k is sufficienly large, hen he graph Gk +k 1,khas eernal dominaion number. From inequaliy 1 we hen ge he following.

3 J.L. Goldwasser, W.F. Klosermeyer / Discree Mahemaics Theorem. For each posiive ineger, if αg =, hen γ G holds. and here exiss a graph for which equaliy Proof of Theorem 1. We will show ha if Gk + k 1,kcan be eernally dominaed wih fewer han guards, hen here is an upper bound on k. We use L i o denoe he se of symbols associaed wih a verex of V Gk+k 1,k. We abuse noaion and also use L i o refer o he verex iself, when clear from he conex. Suppose Player 1 iniially places he guards a verices L 1,L,...,L which consiues a dominaing se of he graph. We le M be he union as a mulise of L 1,L,...,L 1. Le p i be he number of symbols in {1,,...,k+ k 1} ha have mulipliciy i in M i = 0, 1,,... Since {L i } is a dominaing se, p 0 <k. Therefore, k i 1 p i k + k 1 1 and ip i = k i Suppose ha wih he specified iniial configuraion of guards he graph can be eernally dominaed wih 1 guards. We also assume ha of all iniial configuraions of he 1 guards so ha he graph can be eernally dominaed, we have one in which he symbol mulipliciy vecor p 0,p 1,p,...is lexicographically las so p 0 is as large as possible, and of all hese, p 1 is as large as possible, and of all hese p is as large as possible, and so on. For each posiive ineger i, le Q i be he se of all L j s ha have a symbol of mulipliciy i bu no symbol of smaller mulipliciy and le q i = Q i. For each i and each L j in Q i, arbirarily choose a symbol of mulipliciy i and call i special he same symbol could be special in more han one L i. We claim ha p i q i k 1, i = 1,, 3, Suppose no. Le r be he smalles ineger i for which inequaliy 4 does no hold. This means here are a leas k symbols of mulipliciy r ha are no special. Player aacks a verex L u conaining any k of hem, Player 1 can only defend he aack wih a guard from a verex L j in Q s for some s r. Wih L j replaced by L u, in he union as a mulise of he new se of guarded verices, each symbol in L j \L u has is mulipliciy decreased by 1 while each symbol in L u \L j has is mulipliciy increased by 1. This means he symbol ha was special in L j now has mulipliciy s 1 and perhaps oher symbols also had heir mulipliciies reduced from s o s 1, bu he only symbols ha have increased mulipliciy in he new se of guarded verices now have mulipliciy s + 1. This implies ha he mulipliciy vecor p 0,p 1,p,...for he new configuraion of guards has p i =p i for i s and p s 1 >p s 1, conradicing he assumpion ha p 0,p 1,p,...is las in he lexicographic ordering of mulipliciy vecors of mulise unions of ses of 1 guards in a configuraion in which hey would be able o eernally dominae he graph. Hence, inequaliy 4 holds as claimed. From and 3 we have k k 1 p i ip i i 1 i 1 = ip i + ip i i iq i + k 1 = k 1 + iq i.

4 59 J.L. Goldwasser, W.F. Klosermeyer / Discree Mahemaics Hence, [ k = k Therefore, if k> 4 /4, ] + 1 iq i i [ ] = < guards are no enough o eernally defend he graph. The bound 4 /4 could be improved because o derive i we used q i 1, whereas in fac he sum of all he q i s has his bound. We remark ha if k> 4 /4, he graph Gk + k 1,kwill be large even for small. For example, if = 4 and k = 65, he graph has more han verices. Of course, he eernal dominaion number is also equal o for some values of k less han 4 /4. We have shown ha if = 3, hen γ Gk + k 1,k= for all k 4 he proof is omied, bu uses similar echniques as above. 4. Bounds for line graphs of K n As saed above, he graph Gn, k is he complemen of he Kneser graph Kn, k. Hence θgn, k = n k +, because of he celebraed Lovász heorem ha saes ha his is he chromaic number of Kn, k a direc proof when k = is easy. So γ Gn, θgn, = n. We show ha equaliy holds and noe ha Gn, is isomorphic o he line graph of K n. Theorem 3. γ Gn, = αgn, 1 ifnisodd. γ Gn, = αgn, ifniseven. Proof. We hink of each verex x, y of Gn, as he edge [x,y] of K n. So a dominaing se in Gn, corresponds o a se of edges in K n ha span n 1orn verices. From his viewpoin, Player 1 chooses such a se D of edges, Player aacks an edge e of K n no in D, Player 1 has o delee an edge of D inciden o D, and so on, wih Player winning if afer Player 1 has deleed an edge, less han n 1 verices are spanned by he remaining edges because hen Player can aack an edge no inciden o any in he se. We now show n 3 guards are no enough o defend Gn,. Suppose Player 1 chooses n 3 edges. A graph wih n 3 edges on n verices has a leas hree componens ha are rees possibly wih one verex. We show ha by a sequence of aacks, Player can force a ransformaion of wo of hese componens ino isolaed verices. Choose any wo of hese hree ree componens, say T 1 and T. Call a verex a pendan verex if i has degree 1. We show by inducion on he minimum number of non-pendan verices in T 1 and T ha by a sequence of aacks, Player can force a ransformaion o a pair of rees, one of which is an isolaed verex. If he minimum number of non-pendan verices in T 1 and T is 0 or 1, hen one of hem, say T 1 is a sar. Le x be is apex and le y be any pendan verex of T. Player aacks [x,y]. Player 1 eiher defends wih an edge of T 1, leaving an isolaed verex, or wih he edge of T conaining y, which leaves a sar T 1 wih one more edge han T 1 and a ree T wih one less edge han T. Repeaing his procedure evenually reduces T o a single edge. One more aack leaves an isolaed verex. Now assume T 1 has m non-pendan verices and T has a leas his many for some m. Player aacks [x,y] where x is any non-pendan verex of T 1 and y is any pendan verex of T. Choice 1 for Player 1 is o defend wih an edge of T 1, say [x,w]. Then we are lef wih rees T 1 and T where x is a verex of T, w is a verex of T 1 and T 1 has fewer non-pendan verices han T 1. Choice for Player 1 is o defend wih he edge of T conaining y, leaving rees T 1 and T where T 1 has he same number of non-pendan verices as T 1 and T has one fewer edge han T. Repeaing

5 J.L. Goldwasser, W.F. Klosermeyer / Discree Mahemaics his procedure evenually forces Player 1 o use choice 1 above, leaving a ree T 1 wih fewer non-pendan verices han T 1, and evenually reducing T 1 o a sar, and hen o an isolaed verex u. Now repea his process wih he oher wo ree componens no u. This evenually resuls in wo rees, one of which is an isolaed verex, say v. Then [u, v] is no defended. 5. Fuure direcions I was shown in [8] ha γ = θg for cacus graphs, powers of cycles, and complemens of powers of cycles. I is likely ha he same is rue for oher ineresing classes of graphs. Problem 1. Deermine igh bounds on γ G when G belongs o some paricular class of graphs e.g., ouerplanar graphs, planar graphs. Noe ha Problem 1 is meaningful only for classes conaining graphs ha are no perfec, because he Perfec Graph Theorem ensures ha γ G = θg = αg for all perfec graphs. However, here exis graphs ha are no perfec whose eernal dominaion number equals heir independence number. Baranyai s heorem, see for example [13], says ha if k divides n, hen he complee k-graph on n verices has a 1- facorizaion. Hence, θkn, k = n k n/k = n 1 = αkn, k. k 1 This means if k divides n hen γ Kn, k = αkn, k while here is a huge gap beween γ Gn, k and αgn, k. To some exen, his huge gap seems due o he srucure of he induced odd cycles in Gn, k, hough is complemen Kn, k also has many odd cycles and no gap a all. We noe ha all known graphs G wih θg = αg + 1haveγ G = θg. We do know which graphs have dominaion number equal o eernal dominaion number. Le γg denoe he size of a smalles dominaing se of G. Theorem 4 Klosermeyer and MacGillivray [8]. γg = γ G if and only if γg = θg. However, i remains o characerize which graphs have eernal dominaion number equal o independence number. Acknowledgmens We hank he anonymous referees for heir helpful commens. References [1] A. Burger, E. Cockayne, W. Gründlingh, C. Mynhard, J. van Vuuren, W. Winerbach, Finie order dominaion in graphs, J. Combin. Mah. Combin. Compu [] A. Burger, E. Cockayne, W. Gründlingh, C. Mynhard, J. van Vuuren, W. Winerbach, Infinie order dominaion in graphs, J. Combin. Mah. Combin. Compu [3] E. Cockayne, P. Dreyer, S.M. Hedeniemi, S.T. Hedeniemi, Roman dominaion in graphs, Discree Mah [4] E. Cockayne, O. Favaron, C. Mynhard, Secure dominaion, weak roman dominaion and forbidden subgraphs, Bull. Ins. Combin. Appl [5] W. Goddard, S.M. Hedeniemi, S.T. Hedeniemi, Eernal securiy in graphs, J. Combin. Mah. Combin. Compu [6] M. Henning, S.M. Hedeniemi, Defending he Roman empire a new sraegy, Discree Mah [7] W. Klosermeyer, G. MacGillivray, Eernal securiy in graphs of fixed independence number, J. Combin. Mah. Combin. Compu., 007, o appear. [8] W. Klosermeyer, G. MacGillivray, Eernal dominaing ses in graphs, J. Combin. Mah. Combin. Compu., 007, o appear. [9] D. Ochmanek, Time o resrucure US defense forces, Sci. Technol. Winer [10] I. Peersen, Defending he Roman empire, MahTrek, Sepember 11, [11] C.S. ReVelle, K.E. Rosing, Defendens imperium Romanum: a classical problem in miliary sraegy, Amer. Mah. Monhly [1] I. Sewar, Defend he Roman empire! Scienific American, December 1999, pp [13] J.H. van Lin, R.M. Wilson, A Course in Combinaorics, Cambridge Universiy Press, Cambridge, 006.

Some Ramsey results for the n-cube

Some Ramsey results for the n-cube Some Ramsey resuls for he n-cube Ron Graham Universiy of California, San Diego Jozsef Solymosi Universiy of Briish Columbia, Vancouver, Canada Absrac In his noe we esablish a Ramsey-ype resul for cerain

More information

Extremal colorings and independent sets

Extremal colorings and independent sets Exremal colorings and independen ses John Engbers Aysel Erey Ocober 17, 2017 Absrac We consider several exremal problems of maximizing he number of colorings and independen ses in some graph families wih

More information

INDEPENDENT SETS IN GRAPHS WITH GIVEN MINIMUM DEGREE

INDEPENDENT SETS IN GRAPHS WITH GIVEN MINIMUM DEGREE INDEPENDENT SETS IN GRAPHS WITH GIVEN MINIMUM DEGREE JAMES ALEXANDER, JONATHAN CUTLER, AND TIM MINK Absrac The enumeraion of independen ses in graphs wih various resricions has been a opic of much ineres

More information

Monochromatic Infinite Sumsets

Monochromatic Infinite Sumsets Monochromaic Infinie Sumses Imre Leader Paul A. Russell July 25, 2017 Absrac WeshowhahereisaraionalvecorspaceV suchha,whenever V is finiely coloured, here is an infinie se X whose sumse X+X is monochromaic.

More information

11!Hí MATHEMATICS : ERDŐS AND ULAM PROC. N. A. S. of decomposiion, properly speaking) conradics he possibiliy of defining a counably addiive real-valu

11!Hí MATHEMATICS : ERDŐS AND ULAM PROC. N. A. S. of decomposiion, properly speaking) conradics he possibiliy of defining a counably addiive real-valu ON EQUATIONS WITH SETS AS UNKNOWNS BY PAUL ERDŐS AND S. ULAM DEPARTMENT OF MATHEMATICS, UNIVERSITY OF COLORADO, BOULDER Communicaed May 27, 1968 We shall presen here a number of resuls in se heory concerning

More information

Rainbow saturation and graph capacities

Rainbow saturation and graph capacities Rainbow sauraion and graph capaciies Dániel Korándi Absrac The -colored rainbow sauraion number rsa (n, F ) is he minimum size of a -edge-colored graph on n verices ha conains no rainbow copy of F, bu

More information

Matrix Versions of Some Refinements of the Arithmetic-Geometric Mean Inequality

Matrix Versions of Some Refinements of the Arithmetic-Geometric Mean Inequality Marix Versions of Some Refinemens of he Arihmeic-Geomeric Mean Inequaliy Bao Qi Feng and Andrew Tonge Absrac. We esablish marix versions of refinemens due o Alzer ], Carwrigh and Field 4], and Mercer 5]

More information

We just finished the Erdős-Stone Theorem, and ex(n, F ) (1 1/(χ(F ) 1)) ( n

We just finished the Erdős-Stone Theorem, and ex(n, F ) (1 1/(χ(F ) 1)) ( n Lecure 3 - Kövari-Sós-Turán Theorem Jacques Versraëe jacques@ucsd.edu We jus finished he Erdős-Sone Theorem, and ex(n, F ) ( /(χ(f ) )) ( n 2). So we have asympoics when χ(f ) 3 bu no when χ(f ) = 2 i.e.

More information

Hedgehogs are not colour blind

Hedgehogs are not colour blind Hedgehogs are no colour blind David Conlon Jacob Fox Vojěch Rödl Absrac We exhibi a family of 3-uniform hypergraphs wih he propery ha heir 2-colour Ramsey numbers grow polynomially in he number of verices,

More information

THE MATRIX-TREE THEOREM

THE MATRIX-TREE THEOREM THE MATRIX-TREE THEOREM 1 The Marix-Tree Theorem. The Marix-Tree Theorem is a formula for he number of spanning rees of a graph in erms of he deerminan of a cerain marix. We begin wih he necessary graph-heoreical

More information

Lecture Notes 2. The Hilbert Space Approach to Time Series

Lecture Notes 2. The Hilbert Space Approach to Time Series Time Series Seven N. Durlauf Universiy of Wisconsin. Basic ideas Lecure Noes. The Hilber Space Approach o Time Series The Hilber space framework provides a very powerful language for discussing he relaionship

More information

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities:

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities: Mah 4 Eam Review Problems Problem. Calculae he 3rd Taylor polynomial for arcsin a =. Soluion. Le f() = arcsin. For his problem, we use he formula f() + f () + f ()! + f () 3! for he 3rd Taylor polynomial

More information

Inventory Analysis and Management. Multi-Period Stochastic Models: Optimality of (s, S) Policy for K-Convex Objective Functions

Inventory Analysis and Management. Multi-Period Stochastic Models: Optimality of (s, S) Policy for K-Convex Objective Functions Muli-Period Sochasic Models: Opimali of (s, S) Polic for -Convex Objecive Funcions Consider a seing similar o he N-sage newsvendor problem excep ha now here is a fixed re-ordering cos (> 0) for each (re-)order.

More information

The Zarankiewicz problem in 3-partite graphs

The Zarankiewicz problem in 3-partite graphs The Zarankiewicz problem in 3-parie graphs Michael Tai Craig Timmons Absrac Le F be a graph, k 2 be an ineger, and wrie ex χ k (n, F ) for he maximum number of edges in an n-verex graph ha is k-parie and

More information

Notes for Lecture 17-18

Notes for Lecture 17-18 U.C. Berkeley CS278: Compuaional Complexiy Handou N7-8 Professor Luca Trevisan April 3-8, 2008 Noes for Lecure 7-8 In hese wo lecures we prove he firs half of he PCP Theorem, he Amplificaion Lemma, up

More information

Matlab and Python programming: how to get started

Matlab and Python programming: how to get started Malab and Pyhon programming: how o ge sared Equipping readers he skills o wrie programs o explore complex sysems and discover ineresing paerns from big daa is one of he main goals of his book. In his chaper,

More information

Lecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still.

Lecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still. Lecure - Kinemaics in One Dimension Displacemen, Velociy and Acceleraion Everyhing in he world is moving. Nohing says sill. Moion occurs a all scales of he universe, saring from he moion of elecrons in

More information

The minimum number of nonnegative edges in hypergraphs

The minimum number of nonnegative edges in hypergraphs The minimum number of nonnegaive edges in hypergraphs Hao Huang DIMACS Rugers Universiy New Brunswic, USA huanghao@mahiasedu Benny Sudaov Deparmen of Mahemaics ETH 8092 Zurich, Swizerland benjaminsudaov@mahehzch

More information

Families with no matchings of size s

Families with no matchings of size s Families wih no machings of size s Peer Franl Andrey Kupavsii Absrac Le 2, s 2 be posiive inegers. Le be an n-elemen se, n s. Subses of 2 are called families. If F ( ), hen i is called - uniform. Wha is

More information

EDGE-CONNECTIVITY, EIGENVALUES, AND MATCHINGS IN REGULAR GRAPHS

EDGE-CONNECTIVITY, EIGENVALUES, AND MATCHINGS IN REGULAR GRAPHS EDGE-CONNECTIVITY, EIGENVALUES, AND MATCHINGS IN REGULAR GRAPHS SUIL O AND SEBASTIAN M CIOABĂ Absrac In his paper, we sudy he relaionship beween eigenvalues and he exisence of cerain subgraphs in regular

More information

An Introduction to Malliavin calculus and its applications

An Introduction to Malliavin calculus and its applications An Inroducion o Malliavin calculus and is applicaions Lecure 5: Smoohness of he densiy and Hörmander s heorem David Nualar Deparmen of Mahemaics Kansas Universiy Universiy of Wyoming Summer School 214

More information

Finish reading Chapter 2 of Spivak, rereading earlier sections as necessary. handout and fill in some missing details!

Finish reading Chapter 2 of Spivak, rereading earlier sections as necessary. handout and fill in some missing details! MAT 257, Handou 6: Ocober 7-2, 20. I. Assignmen. Finish reading Chaper 2 of Spiva, rereading earlier secions as necessary. handou and fill in some missing deails! II. Higher derivaives. Also, read his

More information

ON THE DEGREES OF RATIONAL KNOTS

ON THE DEGREES OF RATIONAL KNOTS ON THE DEGREES OF RATIONAL KNOTS DONOVAN MCFERON, ALEXANDRA ZUSER Absrac. In his paper, we explore he issue of minimizing he degrees on raional knos. We se a bound on hese degrees using Bézou s heorem,

More information

T L. t=1. Proof of Lemma 1. Using the marginal cost accounting in Equation(4) and standard arguments. t )+Π RB. t )+K 1(Q RB

T L. t=1. Proof of Lemma 1. Using the marginal cost accounting in Equation(4) and standard arguments. t )+Π RB. t )+K 1(Q RB Elecronic Companion EC.1. Proofs of Technical Lemmas and Theorems LEMMA 1. Le C(RB) be he oal cos incurred by he RB policy. Then we have, T L E[C(RB)] 3 E[Z RB ]. (EC.1) Proof of Lemma 1. Using he marginal

More information

Sections 2.2 & 2.3 Limit of a Function and Limit Laws

Sections 2.2 & 2.3 Limit of a Function and Limit Laws Mah 80 www.imeodare.com Secions. &. Limi of a Funcion and Limi Laws In secion. we saw how is arise when we wan o find he angen o a curve or he velociy of an objec. Now we urn our aenion o is in general

More information

arxiv: v2 [math.co] 20 Jul 2018

arxiv: v2 [math.co] 20 Jul 2018 On he sizes of (k,l)-edge-maximal r-uniform hypergraphs arxiv:1805.1145v [mah.co] 0 Jul 018 Yingzhi Tian a, Hong-Jian Lai b, Jixiang Meng a, Murong Xu c, a College of Mahemaics and Sysem Sciences, Xinjiang

More information

The Asymptotic Behavior of Nonoscillatory Solutions of Some Nonlinear Dynamic Equations on Time Scales

The Asymptotic Behavior of Nonoscillatory Solutions of Some Nonlinear Dynamic Equations on Time Scales Advances in Dynamical Sysems and Applicaions. ISSN 0973-5321 Volume 1 Number 1 (2006, pp. 103 112 c Research India Publicaions hp://www.ripublicaion.com/adsa.hm The Asympoic Behavior of Nonoscillaory Soluions

More information

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle Chaper 2 Newonian Mechanics Single Paricle In his Chaper we will review wha Newon s laws of mechanics ell us abou he moion of a single paricle. Newon s laws are only valid in suiable reference frames,

More information

Longest Common Prefixes

Longest Common Prefixes Longes Common Prefixes The sandard ordering for srings is he lexicographical order. I is induced by an order over he alphabe. We will use he same symbols (,

More information

Echocardiography Project and Finite Fourier Series

Echocardiography Project and Finite Fourier Series Echocardiography Projec and Finie Fourier Series 1 U M An echocardiagram is a plo of how a porion of he hear moves as he funcion of ime over he one or more hearbea cycles If he hearbea repeas iself every

More information

GENERALIZATION OF THE FORMULA OF FAA DI BRUNO FOR A COMPOSITE FUNCTION WITH A VECTOR ARGUMENT

GENERALIZATION OF THE FORMULA OF FAA DI BRUNO FOR A COMPOSITE FUNCTION WITH A VECTOR ARGUMENT Inerna J Mah & Mah Sci Vol 4, No 7 000) 48 49 S0670000970 Hindawi Publishing Corp GENERALIZATION OF THE FORMULA OF FAA DI BRUNO FOR A COMPOSITE FUNCTION WITH A VECTOR ARGUMENT RUMEN L MISHKOV Received

More information

4 Sequences of measurable functions

4 Sequences of measurable functions 4 Sequences of measurable funcions 1. Le (Ω, A, µ) be a measure space (complee, afer a possible applicaion of he compleion heorem). In his chaper we invesigae relaions beween various (nonequivalen) convergences

More information

Czech Republic. Ingo Schiermeyer. Germany. June 28, A generalized (i; j)-bull B i;j is a graph obtained by identifying each of some two

Czech Republic. Ingo Schiermeyer. Germany. June 28, A generalized (i; j)-bull B i;j is a graph obtained by identifying each of some two Claw-free and generalized bull-free graphs of large diameer are hamilonian RJ Faudree Deparmen of Mahemaical Sciences The Universiy of Memphis Memphis, TN 38152 USA e-mail rfaudree@ccmemphisedu Zdenek

More information

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes Represening Periodic Funcions by Fourier Series 3. Inroducion In his Secion we show how a periodic funcion can be expressed as a series of sines and cosines. We begin by obaining some sandard inegrals

More information

Oscillation of an Euler Cauchy Dynamic Equation S. Huff, G. Olumolode, N. Pennington, and A. Peterson

Oscillation of an Euler Cauchy Dynamic Equation S. Huff, G. Olumolode, N. Pennington, and A. Peterson PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON DYNAMICAL SYSTEMS AND DIFFERENTIAL EQUATIONS May 4 7, 00, Wilmingon, NC, USA pp 0 Oscillaion of an Euler Cauchy Dynamic Equaion S Huff, G Olumolode,

More information

Approximation Algorithms for Unique Games via Orthogonal Separators

Approximation Algorithms for Unique Games via Orthogonal Separators Approximaion Algorihms for Unique Games via Orhogonal Separaors Lecure noes by Konsanin Makarychev. Lecure noes are based on he papers [CMM06a, CMM06b, LM4]. Unique Games In hese lecure noes, we define

More information

An Excursion into Set Theory using a Constructivist Approach

An Excursion into Set Theory using a Constructivist Approach An Excursion ino Se Theory using a Consrucivis Approach Miderm Repor Nihil Pail under supervision of Ksenija Simic Fall 2005 Absrac Consrucive logic is an alernaive o he heory of classical logic ha draws

More information

arxiv: v1 [math.fa] 9 Dec 2018

arxiv: v1 [math.fa] 9 Dec 2018 AN INVERSE FUNCTION THEOREM CONVERSE arxiv:1812.03561v1 [mah.fa] 9 Dec 2018 JIMMIE LAWSON Absrac. We esablish he following converse of he well-known inverse funcion heorem. Le g : U V and f : V U be inverse

More information

18 Biological models with discrete time

18 Biological models with discrete time 8 Biological models wih discree ime The mos imporan applicaions, however, may be pedagogical. The elegan body of mahemaical heory peraining o linear sysems (Fourier analysis, orhogonal funcions, and so

More information

GCD AND LCM-LIKE IDENTITIES FOR IDEALS IN COMMUTATIVE RINGS

GCD AND LCM-LIKE IDENTITIES FOR IDEALS IN COMMUTATIVE RINGS GCD AND LCM-LIKE IDENTITIES FOR IDEALS IN COMMUTATIVE RINGS D. D. ANDERSON, SHUZO IZUMI, YASUO OHNO, AND MANABU OZAKI Absrac. Le A 1,..., A n n 2 be ideals of a commuaive ring R. Le Gk resp., Lk denoe

More information

Predator - Prey Model Trajectories and the nonlinear conservation law

Predator - Prey Model Trajectories and the nonlinear conservation law Predaor - Prey Model Trajecories and he nonlinear conservaion law James K. Peerson Deparmen of Biological Sciences and Deparmen of Mahemaical Sciences Clemson Universiy Ocober 28, 213 Ouline Drawing Trajecories

More information

Hamilton- J acobi Equation: Explicit Formulas In this lecture we try to apply the method of characteristics to the Hamilton-Jacobi equation: u t

Hamilton- J acobi Equation: Explicit Formulas In this lecture we try to apply the method of characteristics to the Hamilton-Jacobi equation: u t M ah 5 2 7 Fall 2 0 0 9 L ecure 1 0 O c. 7, 2 0 0 9 Hamilon- J acobi Equaion: Explici Formulas In his lecure we ry o apply he mehod of characerisics o he Hamilon-Jacobi equaion: u + H D u, x = 0 in R n

More information

THE GENERALIZED PASCAL MATRIX VIA THE GENERALIZED FIBONACCI MATRIX AND THE GENERALIZED PELL MATRIX

THE GENERALIZED PASCAL MATRIX VIA THE GENERALIZED FIBONACCI MATRIX AND THE GENERALIZED PELL MATRIX J Korean Mah Soc 45 008, No, pp 479 49 THE GENERALIZED PASCAL MATRIX VIA THE GENERALIZED FIBONACCI MATRIX AND THE GENERALIZED PELL MATRIX Gwang-yeon Lee and Seong-Hoon Cho Reprined from he Journal of he

More information

Chapter 6. Systems of First Order Linear Differential Equations

Chapter 6. Systems of First Order Linear Differential Equations Chaper 6 Sysems of Firs Order Linear Differenial Equaions We will only discuss firs order sysems However higher order sysems may be made ino firs order sysems by a rick shown below We will have a sligh

More information

2. Nonlinear Conservation Law Equations

2. Nonlinear Conservation Law Equations . Nonlinear Conservaion Law Equaions One of he clear lessons learned over recen years in sudying nonlinear parial differenial equaions is ha i is generally no wise o ry o aack a general class of nonlinear

More information

k-remainder Cordial Graphs

k-remainder Cordial Graphs Journal of Algorihms and Compuaion journal homepage: hp://jac.u.ac.ir k-remainder Cordial Graphs R. Ponraj 1, K. Annahurai and R. Kala 3 1 Deparmen of Mahemaics, Sri Paramakalyani College, Alwarkurichi

More information

On the Infinitude of Covering Systems with Least Modulus Equal to 2

On the Infinitude of Covering Systems with Least Modulus Equal to 2 Annals of Pure and Applied Mahemaics Vol. 4, No. 2, 207, 307-32 ISSN: 2279-087X (P), 2279-0888(online) Published on 23 Sepember 207 www.researchmahsci.org DOI: hp://dx.doi.org/0.22457/apam.v4n2a3 Annals

More information

CERTAIN CLASSES OF SOLUTIONS OF LAGERSTROM EQUATIONS

CERTAIN CLASSES OF SOLUTIONS OF LAGERSTROM EQUATIONS SARAJEVO JOURNAL OF MATHEMATICS Vol.10 (22 (2014, 67 76 DOI: 10.5644/SJM.10.1.09 CERTAIN CLASSES OF SOLUTIONS OF LAGERSTROM EQUATIONS ALMA OMERSPAHIĆ AND VAHIDIN HADŽIABDIĆ Absrac. This paper presens sufficien

More information

SOME MORE APPLICATIONS OF THE HAHN-BANACH THEOREM

SOME MORE APPLICATIONS OF THE HAHN-BANACH THEOREM SOME MORE APPLICATIONS OF THE HAHN-BANACH THEOREM FRANCISCO JAVIER GARCÍA-PACHECO, DANIELE PUGLISI, AND GUSTI VAN ZYL Absrac We give a new proof of he fac ha equivalen norms on subspaces can be exended

More information

t is a basis for the solution space to this system, then the matrix having these solutions as columns, t x 1 t, x 2 t,... x n t x 2 t...

t is a basis for the solution space to this system, then the matrix having these solutions as columns, t x 1 t, x 2 t,... x n t x 2 t... Mah 228- Fri Mar 24 5.6 Marix exponenials and linear sysems: The analogy beween firs order sysems of linear differenial equaions (Chaper 5) and scalar linear differenial equaions (Chaper ) is much sronger

More information

Diameters in preferential attachment models

Diameters in preferential attachment models Diameers in preferenial aachmen models Sander Dommers and Remco van der Hofsad Gerard Hooghiemsra January 20, 200 Absrac In his paper, we invesigae he diameer in preferenial aachmen PA- models, hus quanifying

More information

10. State Space Methods

10. State Space Methods . Sae Space Mehods. Inroducion Sae space modelling was briefly inroduced in chaper. Here more coverage is provided of sae space mehods before some of heir uses in conrol sysem design are covered in he

More information

Instructor: Barry McQuarrie Page 1 of 5

Instructor: Barry McQuarrie Page 1 of 5 Procedure for Solving radical equaions 1. Algebraically isolae one radical by iself on one side of equal sign. 2. Raise each side of he equaion o an appropriae power o remove he radical. 3. Simplify. 4.

More information

Math-Net.Ru All Russian mathematical portal

Math-Net.Ru All Russian mathematical portal Mah-NeRu All Russian mahemaical poral Roman Popovych, On elemens of high order in general finie fields, Algebra Discree Mah, 204, Volume 8, Issue 2, 295 300 Use of he all-russian mahemaical poral Mah-NeRu

More information

Algorithmic Discrete Mathematics 6. Exercise Sheet

Algorithmic Discrete Mathematics 6. Exercise Sheet Algorihmic Dicree Mahemaic. Exercie Shee Deparmen of Mahemaic SS 0 PD Dr. Ulf Lorenz 7. and 8. Juni 0 Dipl.-Mah. David Meffer Verion of June, 0 Groupwork Exercie G (Heap-Sor) Ue Heap-Sor wih a min-heap

More information

2.7. Some common engineering functions. Introduction. Prerequisites. Learning Outcomes

2.7. Some common engineering functions. Introduction. Prerequisites. Learning Outcomes Some common engineering funcions 2.7 Inroducion This secion provides a caalogue of some common funcions ofen used in Science and Engineering. These include polynomials, raional funcions, he modulus funcion

More information

Mathematical Theory and Modeling ISSN (Paper) ISSN (Online) Vol 3, No.3, 2013

Mathematical Theory and Modeling ISSN (Paper) ISSN (Online) Vol 3, No.3, 2013 Mahemaical Theory and Modeling ISSN -580 (Paper) ISSN 5-05 (Online) Vol, No., 0 www.iise.org The ffec of Inverse Transformaion on he Uni Mean and Consan Variance Assumpions of a Muliplicaive rror Model

More information

5. Stochastic processes (1)

5. Stochastic processes (1) Lec05.pp S-38.45 - Inroducion o Teleraffic Theory Spring 2005 Conens Basic conceps Poisson process 2 Sochasic processes () Consider some quaniy in a eleraffic (or any) sysem I ypically evolves in ime randomly

More information

BBP-type formulas, in general bases, for arctangents of real numbers

BBP-type formulas, in general bases, for arctangents of real numbers Noes on Number Theory and Discree Mahemaics Vol. 19, 13, No. 3, 33 54 BBP-ype formulas, in general bases, for arcangens of real numbers Kunle Adegoke 1 and Olawanle Layeni 2 1 Deparmen of Physics, Obafemi

More information

ODEs II, Lecture 1: Homogeneous Linear Systems - I. Mike Raugh 1. March 8, 2004

ODEs II, Lecture 1: Homogeneous Linear Systems - I. Mike Raugh 1. March 8, 2004 ODEs II, Lecure : Homogeneous Linear Sysems - I Mike Raugh March 8, 4 Inroducion. In he firs lecure we discussed a sysem of linear ODEs for modeling he excreion of lead from he human body, saw how o ransform

More information

Vehicle Arrival Models : Headway

Vehicle Arrival Models : Headway Chaper 12 Vehicle Arrival Models : Headway 12.1 Inroducion Modelling arrival of vehicle a secion of road is an imporan sep in raffic flow modelling. I has imporan applicaion in raffic flow simulaion where

More information

Bias in Conditional and Unconditional Fixed Effects Logit Estimation: a Correction * Tom Coupé

Bias in Conditional and Unconditional Fixed Effects Logit Estimation: a Correction * Tom Coupé Bias in Condiional and Uncondiional Fixed Effecs Logi Esimaion: a Correcion * Tom Coupé Economics Educaion and Research Consorium, Naional Universiy of Kyiv Mohyla Academy Address: Vul Voloska 10, 04070

More information

Randomized Perfect Bipartite Matching

Randomized Perfect Bipartite Matching Inenive Algorihm Lecure 24 Randomized Perfec Biparie Maching Lecurer: Daniel A. Spielman April 9, 208 24. Inroducion We explain a randomized algorihm by Ahih Goel, Michael Kapralov and Sanjeev Khanna for

More information

Stationary Distribution. Design and Analysis of Algorithms Andrei Bulatov

Stationary Distribution. Design and Analysis of Algorithms Andrei Bulatov Saionary Disribuion Design and Analysis of Algorihms Andrei Bulaov Algorihms Markov Chains 34-2 Classificaion of Saes k By P we denoe he (i,j)-enry of i, j Sae is accessible from sae if 0 for some k 0

More information

1 Review of Zero-Sum Games

1 Review of Zero-Sum Games COS 5: heoreical Machine Learning Lecurer: Rob Schapire Lecure #23 Scribe: Eugene Brevdo April 30, 2008 Review of Zero-Sum Games Las ime we inroduced a mahemaical model for wo player zero-sum games. Any

More information

Two Coupled Oscillators / Normal Modes

Two Coupled Oscillators / Normal Modes Lecure 3 Phys 3750 Two Coupled Oscillaors / Normal Modes Overview and Moivaion: Today we ake a small, bu significan, sep owards wave moion. We will no ye observe waves, bu his sep is imporan in is own

More information

di Bernardo, M. (1995). A purely adaptive controller to synchronize and control chaotic systems.

di Bernardo, M. (1995). A purely adaptive controller to synchronize and control chaotic systems. di ernardo, M. (995). A purely adapive conroller o synchronize and conrol chaoic sysems. hps://doi.org/.6/375-96(96)8-x Early version, also known as pre-prin Link o published version (if available):.6/375-96(96)8-x

More information

A NOTE ON THE STRUCTURE OF BILATTICES. A. Avron. School of Mathematical Sciences. Sackler Faculty of Exact Sciences. Tel Aviv University

A NOTE ON THE STRUCTURE OF BILATTICES. A. Avron. School of Mathematical Sciences. Sackler Faculty of Exact Sciences. Tel Aviv University A NOTE ON THE STRUCTURE OF BILATTICES A. Avron School of Mahemaical Sciences Sacler Faculy of Exac Sciences Tel Aviv Universiy Tel Aviv 69978, Israel The noion of a bilaice was rs inroduced by Ginsburg

More information

Bernoulli numbers. Francesco Chiatti, Matteo Pintonello. December 5, 2016

Bernoulli numbers. Francesco Chiatti, Matteo Pintonello. December 5, 2016 UNIVERSITÁ DEGLI STUDI DI PADOVA, DIPARTIMENTO DI MATEMATICA TULLIO LEVI-CIVITA Bernoulli numbers Francesco Chiai, Maeo Pinonello December 5, 206 During las lessons we have proved he Las Ferma Theorem

More information

( ) a system of differential equations with continuous parametrization ( T = R + These look like, respectively:

( ) a system of differential equations with continuous parametrization ( T = R + These look like, respectively: XIII. DIFFERENCE AND DIFFERENTIAL EQUATIONS Ofen funcions, or a sysem of funcion, are paramerized in erms of some variable, usually denoed as and inerpreed as ime. The variable is wrien as a funcion of

More information

Languages That Are and Are Not Context-Free

Languages That Are and Are Not Context-Free Languages Tha re and re No Conex-Free Read K & S 3.5, 3.6, 3.7. Read Supplemenary Maerials: Conex-Free Languages and Pushdown uomaa: Closure Properies of Conex-Free Languages Read Supplemenary Maerials:

More information

Undetermined coefficients for local fractional differential equations

Undetermined coefficients for local fractional differential equations Available online a www.isr-publicaions.com/jmcs J. Mah. Compuer Sci. 16 (2016), 140 146 Research Aricle Undeermined coefficiens for local fracional differenial equaions Roshdi Khalil a,, Mohammed Al Horani

More information

SUBSPACES OF MATRICES WITH SPECIAL RANK PROPERTIES

SUBSPACES OF MATRICES WITH SPECIAL RANK PROPERTIES SUBSPACES OF MATRICES WITH SPECIAL RANK PROPERTIES JEAN-GUILLAUME DUMAS, ROD GOW, GARY MCGUIRE, AND JOHN SHEEKEY Absrac. Le K be a field and le V be a vecor space of finie dimension n over K. We invesigae

More information

FREE ODD PERIODIC ACTIONS ON THE SOLID KLEIN BOTTLE

FREE ODD PERIODIC ACTIONS ON THE SOLID KLEIN BOTTLE An-Najah J. Res. Vol. 1 ( 1989 ) Number 6 Fawas M. Abudiak FREE ODD PERIODIC ACTIONS ON THE SOLID LEIN BOTTLE ey words : Free acion, Periodic acion Solid lein Bole. Fawas M. Abudiak * V.' ZZ..).a11,L.A.;15TY1

More information

Online Convex Optimization Example And Follow-The-Leader

Online Convex Optimization Example And Follow-The-Leader CSE599s, Spring 2014, Online Learning Lecure 2-04/03/2014 Online Convex Opimizaion Example And Follow-The-Leader Lecurer: Brendan McMahan Scribe: Sephen Joe Jonany 1 Review of Online Convex Opimizaion

More information

Seminar 4: Hotelling 2

Seminar 4: Hotelling 2 Seminar 4: Hoelling 2 November 3, 211 1 Exercise Par 1 Iso-elasic demand A non renewable resource of a known sock S can be exraced a zero cos. Demand for he resource is of he form: D(p ) = p ε ε > A a

More information

Orthogonal Rational Functions, Associated Rational Functions And Functions Of The Second Kind

Orthogonal Rational Functions, Associated Rational Functions And Functions Of The Second Kind Proceedings of he World Congress on Engineering 2008 Vol II Orhogonal Raional Funcions, Associaed Raional Funcions And Funcions Of The Second Kind Karl Deckers and Adhemar Bulheel Absrac Consider he sequence

More information

Electrical and current self-induction

Electrical and current self-induction Elecrical and curren self-inducion F. F. Mende hp://fmnauka.narod.ru/works.hml mende_fedor@mail.ru Absrac The aricle considers he self-inducance of reacive elemens. Elecrical self-inducion To he laws of

More information

Math 315: Linear Algebra Solutions to Assignment 6

Math 315: Linear Algebra Solutions to Assignment 6 Mah 35: Linear Algebra s o Assignmen 6 # Which of he following ses of vecors are bases for R 2? {2,, 3, }, {4,, 7, 8}, {,,, 3}, {3, 9, 4, 2}. Explain your answer. To generae he whole R 2, wo linearly independen

More information

WHEN LINEAR AND WEAK DISCREPANCY ARE EQUAL

WHEN LINEAR AND WEAK DISCREPANCY ARE EQUAL WHEN LINEAR AND WEAK DISCREPANCY ARE EQUAL DAVID M. HOWARD AND STEPHEN J. YOUNG Absrac. The linear discrepancy of a pose P is he leas k such ha here is a linear exension L of P such ha if x and y are incomparable,

More information

Comparing Means: t-tests for One Sample & Two Related Samples

Comparing Means: t-tests for One Sample & Two Related Samples Comparing Means: -Tess for One Sample & Two Relaed Samples Using he z-tes: Assumpions -Tess for One Sample & Two Relaed Samples The z-es (of a sample mean agains a populaion mean) is based on he assumpion

More information

Solutions from Chapter 9.1 and 9.2

Solutions from Chapter 9.1 and 9.2 Soluions from Chaper 9 and 92 Secion 9 Problem # This basically boils down o an exercise in he chain rule from calculus We are looking for soluions of he form: u( x) = f( k x c) where k x R 3 and k is

More information

Optimality Conditions for Unconstrained Problems

Optimality Conditions for Unconstrained Problems 62 CHAPTER 6 Opimaliy Condiions for Unconsrained Problems 1 Unconsrained Opimizaion 11 Exisence Consider he problem of minimizing he funcion f : R n R where f is coninuous on all of R n : P min f(x) x

More information

When Linear and Weak Discrepancy are Equal

When Linear and Weak Discrepancy are Equal When Linear and Weak Discrepancy are Equal David M. Howard b,2, Sephen J. Young b,1, a School of Mahemaics, Georgia Insiue of Technology, Alana, GA 30332-0160 Absrac The linear discrepancy of a pose P

More information

Mixing times and hitting times: lecture notes

Mixing times and hitting times: lecture notes Miing imes and hiing imes: lecure noes Yuval Peres Perla Sousi 1 Inroducion Miing imes and hiing imes are among he mos fundamenal noions associaed wih a finie Markov chain. A variey of ools have been developed

More information

Random Walk with Anti-Correlated Steps

Random Walk with Anti-Correlated Steps Random Walk wih Ani-Correlaed Seps John Noga Dirk Wagner 2 Absrac We conjecure he expeced value of random walks wih ani-correlaed seps o be exacly. We suppor his conjecure wih 2 plausibiliy argumens and

More information

Lecture 20: Riccati Equations and Least Squares Feedback Control

Lecture 20: Riccati Equations and Least Squares Feedback Control 34-5 LINEAR SYSTEMS Lecure : Riccai Equaions and Leas Squares Feedback Conrol 5.6.4 Sae Feedback via Riccai Equaions A recursive approach in generaing he marix-valued funcion W ( ) equaion for i for he

More information

Biol. 356 Lab 8. Mortality, Recruitment, and Migration Rates

Biol. 356 Lab 8. Mortality, Recruitment, and Migration Rates Biol. 356 Lab 8. Moraliy, Recruimen, and Migraion Raes (modified from Cox, 00, General Ecology Lab Manual, McGraw Hill) Las week we esimaed populaion size hrough several mehods. One assumpion of all hese

More information

SPECTRAL EVOLUTION OF A ONE PARAMETER EXTENSION OF A REAL SYMMETRIC TOEPLITZ MATRIX* William F. Trench. SIAM J. Matrix Anal. Appl. 11 (1990),

SPECTRAL EVOLUTION OF A ONE PARAMETER EXTENSION OF A REAL SYMMETRIC TOEPLITZ MATRIX* William F. Trench. SIAM J. Matrix Anal. Appl. 11 (1990), SPECTRAL EVOLUTION OF A ONE PARAMETER EXTENSION OF A REAL SYMMETRIC TOEPLITZ MATRIX* William F Trench SIAM J Marix Anal Appl 11 (1990), 601-611 Absrac Le T n = ( i j ) n i,j=1 (n 3) be a real symmeric

More information

Supplement for Stochastic Convex Optimization: Faster Local Growth Implies Faster Global Convergence

Supplement for Stochastic Convex Optimization: Faster Local Growth Implies Faster Global Convergence Supplemen for Sochasic Convex Opimizaion: Faser Local Growh Implies Faser Global Convergence Yi Xu Qihang Lin ianbao Yang Proof of heorem heorem Suppose Assumpion holds and F (w) obeys he LGC (6) Given

More information

Exponential Weighted Moving Average (EWMA) Chart Under The Assumption of Moderateness And Its 3 Control Limits

Exponential Weighted Moving Average (EWMA) Chart Under The Assumption of Moderateness And Its 3 Control Limits DOI: 0.545/mjis.07.5009 Exponenial Weighed Moving Average (EWMA) Char Under The Assumpion of Moderaeness And Is 3 Conrol Limis KALPESH S TAILOR Assisan Professor, Deparmen of Saisics, M. K. Bhavnagar Universiy,

More information

Cash Flow Valuation Mode Lin Discrete Time

Cash Flow Valuation Mode Lin Discrete Time IOSR Journal of Mahemaics (IOSR-JM) e-issn: 2278-5728,p-ISSN: 2319-765X, 6, Issue 6 (May. - Jun. 2013), PP 35-41 Cash Flow Valuaion Mode Lin Discree Time Olayiwola. M. A. and Oni, N. O. Deparmen of Mahemaics

More information

The Arcsine Distribution

The Arcsine Distribution The Arcsine Disribuion Chris H. Rycrof Ocober 6, 006 A common heme of he class has been ha he saisics of single walker are ofen very differen from hose of an ensemble of walkers. On he firs homework, we

More information

Monotonic Solutions of a Class of Quadratic Singular Integral Equations of Volterra type

Monotonic Solutions of a Class of Quadratic Singular Integral Equations of Volterra type In. J. Conemp. Mah. Sci., Vol. 2, 27, no. 2, 89-2 Monoonic Soluions of a Class of Quadraic Singular Inegral Equaions of Volerra ype Mahmoud M. El Borai Deparmen of Mahemaics, Faculy of Science, Alexandria

More information

Flow networks. Flow Networks. A flow on a network. Flow networks. The maximum-flow problem. Introduction to Algorithms, Lecture 22 December 5, 2001

Flow networks. Flow Networks. A flow on a network. Flow networks. The maximum-flow problem. Introduction to Algorithms, Lecture 22 December 5, 2001 CS 545 Flow Nework lon Efra Slide courey of Charle Leieron wih mall change by Carola Wenk Flow nework Definiion. flow nework i a direced graph G = (V, E) wih wo diinguihed verice: a ource and a ink. Each

More information

EXERCISES FOR SECTION 1.5

EXERCISES FOR SECTION 1.5 1.5 Exisence and Uniqueness of Soluions 43 20. 1 v c 21. 1 v c 1 2 4 6 8 10 1 2 2 4 6 8 10 Graph of approximae soluion obained using Euler s mehod wih = 0.1. Graph of approximae soluion obained using Euler

More information

KINEMATICS IN ONE DIMENSION

KINEMATICS IN ONE DIMENSION KINEMATICS IN ONE DIMENSION PREVIEW Kinemaics is he sudy of how hings move how far (disance and displacemen), how fas (speed and velociy), and how fas ha how fas changes (acceleraion). We say ha an objec

More information

A New Perturbative Approach in Nonlinear Singularity Analysis

A New Perturbative Approach in Nonlinear Singularity Analysis Journal of Mahemaics and Saisics 7 (: 49-54, ISSN 549-644 Science Publicaions A New Perurbaive Approach in Nonlinear Singulariy Analysis Ta-Leung Yee Deparmen of Mahemaics and Informaion Technology, The

More information

= ( ) ) or a system of differential equations with continuous parametrization (T = R

= ( ) ) or a system of differential equations with continuous parametrization (T = R XIII. DIFFERENCE AND DIFFERENTIAL EQUATIONS Ofen funcions, or a sysem of funcion, are paramerized in erms of some variable, usually denoed as and inerpreed as ime. The variable is wrien as a funcion of

More information