1. Introduction. All graphs considered here are finite and simple. For a graph G =(V,E), let Δ(G),δ(G), and d(g) = 2 E

Size: px
Start display at page:

Download "1. Introduction. All graphs considered here are finite and simple. For a graph G =(V,E), let Δ(G),δ(G), and d(g) = 2 E"

Transcription

1 SIAM J. DISCRETE MATH. Vol., No. 4, pp c 008 Society for Idustrial ad Applied Mathematics LARGE NEARLY REGULAR INDUCED SUBGRAPHS NOGA ALON, MICHAEL KRIVELEVICH, AND BENNY SUDAKOV Abstract. For a real c 1 ad a iteger, let f(, c) deote the maximum iteger f such that every graph o vertices cotais a iduced subgraph o at least f vertices i which the maximum degree is at most c times the miimum degree. Thus, i particular, every graph o vertices cotais a regular iduced subgraph o at least f(, 1) vertices. The problem of estimatig f(, 1) was posed log ago by Erdős, Fajtlowicz, ad Stato. I this paper we obtai the followig upper ad lower bouds for the asymptotic behavior of f(, c): (i) For fixed c>.1, 1 O(1/c) f(, c) O(c/ log ). (ii) For fixed c =1+ε with ε>0 sufficietly small, f(, c) Ω(ε / l(1/ε)). (iii) Ω(l ) f(, 1) O( 1/ l 3/4 ). A aalogous problem for ot ecessarily iduced subgraphs is briefly cosidered as well. Key words. iduced subgraphs, regular subgraphs, Ramsey-type problem AMS subject classificatio. 05C35 DOI / Itroductio. All graphs cosidered here are fiite ad simple. For a graph G =(V,E), let Δ(G),δ(G), ad d(g) = E V deote its maximum degree, miimum degree, ad average degree, respectively. The desity of G is p = E / ( ) V ; clearly, this is a umber betwee 0 ad 1. For U V, let G[U] deote the subgraph of G iduced o U. Defiitio 1. A graph G is c-early regular if Δ(G) c δ(g). For a graph G =(V,E) ad a costat c 1, let Defie f(g, c) = max{ U : G[U] isac-early regular graph}. f(, c) = mi{f(g, c) : V (G) = }. Thus, every graph G o vertices cotais a c-early regular iduced subgraph o at least f(, c) vertices. I particular, for c = 1 every such G cotais a strictly regular iduced subgraph o at least f(, 1) vertices. The problem of estimatig f(, 1) was posed by Erdős, Fajtlowicz, ad Stato (cf. [3] or [, page 85]). By the kow estimates for graph Ramsey umbers (cf., Received by the editors October 9, 007; accepted for publicatio (i revised form) April 8, 008; published electroically September 4, Schools of Mathematics ad Computer Sciece, Raymod ad Beverly Sackler Faculty of Exact Scieces, Tel Aviv Uiversity, Tel Aviv 69978, Israel, ad Istitute for Advaced Study, Priceto, NJ (ogaa@tau.ac.il). The research of this author was supported i part by the Israel Sciece Foudatio, by a USA-Israeli BSF grat, by the Herma Mikowski Mierva Ceter for Geometry at Tel Aviv Uiversity, ad by the Vo Neuma Fud. Departmet of Mathematics, Raymod ad Beverly Sackler Faculty of Exact Scieces, Tel Aviv Uiversity, Tel Aviv 69978, Israel (krivelev@post.tau.ac.il). The research of this author was supported i part by USA-Israel BSF grat 0063 ad by grat 56/05 from the Israel Sciece Foudatio. Departmet of Mathematics, UCLA, Los Ageles, CA 90095, ad Istitute for Advaced Study, Priceto, NJ (bsudakov@math.ucla.edu). The research of this author was supported i part by NSF CAREER award DMS , NSF grats DMS ad DMS , by a USA- Israeli BSF grat, ad by the State of New Jersey. 135

2 136 NOGA ALON, MICHAEL KRIVELEVICH, AND BENNY SUDAKOV e.g., [6]), every graph o vertices cotais either a clique or a idepedet set of order Ω(l ). This implies that f(, 1) Ω(l ). Erdős, Fajtlowicz, ad Stato cojectured that the ratio f(, 1)/ l teds to ifiity as teds to ifiity. We are uable to prove or disprove this cojecture ad ca oly obtai several bouds, which are listed i the followig results. The first deals with the case of large c. Propositio 1.1. There exists a absolute costat b so that for all K.1, f(, K) 1 b/k. The problem of obtaiig a otrivial lower boud for values of c close to 1 is more iterestig. Here we first deal with the case of graphs with positive desity ad show that ay such graph must cotai a early regular subgraph o a liear umber of vertices. Theorem 1.. Let ε>0 be a small real, ad let p satisfy 0 <p<1. The, for every sufficietly large, ay graph G =(V,E) o vertices with desity at least p cotais a iduced (1 + ε)-early regular subgraph o at least ( ε ε 0.5 6)144 l( 1 p ) vertices. For geeral (possibly sparse) graphs we have the followig. Theorem 1.3. Let ε>0 be a sufficietly small costat. The f(, 1+ε) ε 50 l(1/ε) for all sufficietly large. Our upper bouds for f(, c) are rather far from the lower bouds. For the strictly regular case we prove the followig. Theorem 1.4. f(, 1) O( 1/ log 3/4 ). This is a slight improvemet of a earlier estimate of Bollobás (cf. []), who showed that for every ɛ>0, f(, 1) c(ɛ) 1/+ɛ. For the early regular case we have the followig. Propositio 1.5. For every costat K, f(, K) 7K log. The lower bouds are proved i the ext sectio, ad the upper bouds are preseted i sectio 3. We coclude i sectio 4 with a few ope problems ad a brief discussio of a aalogous problem for ot ecessarily iduced subgraphs. Throughout this paper we assume, wheever eeded, that the umber of vertices of the graphs discussed is sufficietly large. To simplify the presetatio, we make o attempt to optimize the absolute costats, ad we omit all floor ad ceilig sigs wheever these are ot crucial. We also use the followig stadard asymptotic otatio: For two fuctios f(), g() of a atural valued parameter, we write f() =o(g()) wheever lim f()/g() =0;f() =O(g()) if there exists a costat C > 0 such that f() Cg() for all ; ad f() =Ω(g()) if g() = O(f()).. Lower bouds. For a graph G =(V,E) ad a subset U V, the umber of edges of G spaed by U i G is deoted by e G (U); the umber of edges betwee disjoit subsets U, W of vertices of G is deoted by e G (U, W )..1. Large c. I this subsectio we prove Propositio 1.1, which provides a lower boud for f(, c) whe c is a relatively large costat. We eed the followig rather stadard argumet, allowig oe to pass from a graph with a large average degree to oe with a large miimum degree.

3 LARGE NEARLY REGULAR INDUCED SUBGRAPHS 137 Propositio.1. Let K > 1,α < 1/ be costats. The every graph G = (V,E) o V = vertices with Δ(G) Kd(G) cotais a iduced (K/α)-early regular subgraph G with at least 1 α K Kα K α vertices ad at least K 4α d edges. Proof. Deote the average degree d(g) ofg by d. We ca obviously assume that d>0. Start with G ad delete repeatedly vertices of degree less tha αd util there are oe left. Deote the resultig graph by G. The G is a iduced subgraph of G, satisfyig Δ(G ) Δ(G), δ(g ) αd, implyig Δ(G ) Δ(G) Kd K α δ(g ), ad thus G isa(k/α)-early regular graph. We ow estimate the umber of vertices of G. Deote the latter by t. While creatig G from G, we deleted less tha ( t)αd edges, ad thus Δ(G ) d(g ( E(G) ( t)αd) ) > t But Δ(G ) Δ(G) Kd, implyig = d ( t)αd t. d ( t)αd Kd. t Solvig the above iequality for t, we get t 1 α K α, supplyig the required lower boud for the umber of vertices of G. To boud the umber of its edges, ote that the umber of vertices deleted is t, ad hece the umber of edges deleted is at most ( t)αd, leavig at least ( ) ( ) d ( t)αd = α d + tαd α d + 1 α K Kα αd = K α K 4α d, as eeded. Remark 1. It is istructive to observe that the above argumet breaks dow completely for α 1/. Therefore, whe estimatig f(, c) from below for small c, i particular for c<, we will adapt a differet strategy. We proceed with the followig result, whose proof resembles that of oe of the results i [4]. Propositio.. Let K>1be a costat. Every graph G =(V,E) o V = V (G) = vertices cotais a iduced subgraph G o at least 1+log (1 1 K ) vertices, for which Δ(G ) Kd(G ). For large K the above estimate behaves like 1 Θ( 1 K ). Therefore, the assertios of Propositios.1 ad. imply that of Propositio 1.1. Proof of Propositio.. Set G 0 = G, k = log. For i =0,...,k repeat the followig loop. Set i = V (G i ), Δ i =Δ(G i ), d i = d(g i ). If Δ i Kd i, abort the loop. Otherwise, delete repeatedly vertices of degree at least Kd i / from G i util there are oe left. Let G i+1 be the resultig graph ad icremet i. Deote by G the resultig graph of the above described process. Observe that at iteratio i we delete at most E(G i ) /(Kd i /)=( i d i /)(Kd i /) = i /K vertices,

4 138 NOGA ALON, MICHAEL KRIVELEVICH, AND BENNY SUDAKOV ad thus i+1 (1 1/K) i. It follows that ( V (G ) 1 1 ) k = 1+log (1 1 K ). K If G was created whe the above loop was aborted due to Δ(G i ) Kd(G i ), the obviously the obtaied graph satisfies the assertio of the theorem. Otherwise, G was obtaied after k iteratios. At each such iteratio i, we have Δ i+1 Kd i / ad d i Δ i /K, implyig Δ i+1 Δ i /. Therefore, i this case Δ(G ) Δ 0 ( ) k 1 < ( ) log 1 =1, implyig that G has o edges, ad thus Δ(G )=d(g )=0,adG ca agai serve as the required graph... Small c. Next we treat the more challegig case where the costat c i f(, c) is very close to 1. Throughout this subsectio ε deotes a small positive real. We start with several lemmas. Lemma.3. Let G =(V,E) be a graph o vertices with desity p, ad let ε>0. The G cotais a iduced subgraph G of desity p p o a set of ε ε l( 1 p ) vertices so that every set of t ε vertices of G spas at most ( t ) p (1 + ε) edges. Proof. Set G 0 = G. Fori =0, 1,... repeat the followig loop. Set i = V (G i ), m i = e(g i ), p i = m i ). If G i cotais a subset U V (G i ) of at least ε i vertices such that e Gi (U) ( U ) pi (1 + ε), the set G i+1 := G i [U], i := i +1. Observe that after k iteratios of the above loop, the desity p k of the curret graph G k satisfies p k (1+ε) k p 0. Thus, if the loop is repeated at least ε l( 1 p ) times, we have p k (1 + ε) ε l( 1 p ) p>1, which is a cotradictio. It follows that the above process cocludes after less tha ε l( 1 p ) iteratios. The resultig graph G k has k vertices ad m k edges. Observe that at each iteratio the umber of vertices of the ew graph is at least a ε-proportio of the umber of vertices of the previous graph. Therefore, k ε k V (G) ε ε l( 1 p ). We ca thus take G = G k, = k to complete the proof. Lemma.4. Let G =(V,E) be a graph o V = vertices with m = E edges ad desity p = m/ ( ) a for some costat 0 <a<1. Suppose that ( ) t (1) every t ε vertice i G spas at most p(1 + ε) edges. The for every subset U V of cardiality U = ε i G, there are at most ε p(1+ ε) ( i

5 LARGE NEARLY REGULAR INDUCED SUBGRAPHS 139 edges betwee U ad its complemet i G. Proof. Assume that U V cotradicts the above statemet. Deote e 1 = e G (U), e = e G (U, V U), e 3 = e G (V U). The e 1 + e + e 3 = m = ( ) p. Choose uiformly at radom a subset X V U of cardiality X = x = ε V U = ε(1 ε). The the expected umber of edges of G spaed by U X is E[e G (U X)] = e 1 + x V U e x(x 1) + V U ( V U 1) e 3 >e 1 + x ε e x ( + ( ε) 1 1 ) e 3 x = e 1 + εe + εe 3 O() =e 1 + εe + ε(m e 1 e ) O() ( ε ε)e + εm O() ( ε ε)ε p(1+ ε)+εm O() =( ε ε)ε(1+ ε) p + ε p O() =:A. O the other had, by the assumptio o G, every such set U X satisfies ( ) ε + ε(1 ε) e G (U X) p(1 + ε) ε p (1 + ε ε) (1 + ε) = ε p (1+ ε ε ε 3/ + ε )(1 + ε) = ε p (1+ ε + O(ε 5/ )) =: B. Let us compare the asymptotic (i small ε) behavior of the two quatities A ad B defied above. We have A = ε p (1+( ε ε)(1+ ε)) O() = ε p (1+ ε +ε 4ε 3/ ) O(). Sice = o( p), we have that A>Bfor ε small eough, which is a cotradictio. Lemma.5. Let G = (V,E) be a graph o V = vertices with m = E edges ad desity p = m/ ( ) a for some costat 0 <a<1. Suppose that (1) holds. The, for all sufficietly large, G cotais a iduced subgraph G o at least (1 ε ε) >/ vertices with maximum degree Δ(G ) (1+3 ε)p ad miimum degree δ(g ) (1 ε)p. I particular, G is c-early regular for c =(1+6 ε). Proof. Let U be a set of ε vertices of highest degrees i G (ties are broke arbitrarily). Set H = G[V U]. We claim that all vertex degrees i H are at most

6 1330 NOGA ALON, MICHAEL KRIVELEVICH, AND BENNY SUDAKOV p(1+3 ε). If this is ot so, the the degrees of all vertices of U i G are at least p(1+3 ε), implyig (through coditio (1)) e G (U, V U) ε p(1+3 ε) e G (U) ε p(1+3 ε) ε p(1 + ε) >ε p(1+ ε) for small eough ε, thus cotradictig Lemma.4. Therefore, H is a iduced subgraph of G o V (H) =(1 ε) vertices, of maximum degree Δ(H) p(1+3 ε), still satisfyig coditio (1), ad havig () E(H) ( )p ε p(1 + ε) ε p(1+ ε) ( ) p ε p edges. We ow repeatedly delete from H vertices of degree less tha p(1 ε) util there are o such vertices, or util we have deleted ε of them. Assume the latter case ad deote the set of ε deleted vertices by W. The the set V (H) W has V (H) W =(1 ε ε) vertices ad by () spas at least e H (V (H) W ) E(H) ε p(1 ε) = ( ) p ε p ε p(1 ε) ( ) p ε p +ε p = p ( ) 1 4 ε +4ε O(p) edges. O the other had, by coditio (1), the set V (H) W satisfies ( ) (1 ε ε) e H (V (H) W ) p(1 + ε) (1 ε ε) (1 + ε) p = p ( 1 4 ) ε +3ε + O(ε 3/ ). Comparig the above two estimates for e H (V (H) W ), we get a cotradictio for small eough ε. It follows that the above deletio process stops before ε vertices have bee deleted. Deote the resultig graph by G. The G has V (G ) ε ε > vertices ad has maximum degree Δ(G ) p(1+3 ε) ad miimum degree δ(g ) p(1 ε). Hece Δ(G ) 1+3 ε 1 ε δ(g ) < (1+6 ε)δ(g ), completig the proof of the lemma. We are ow ready to prove Theorems 1. ad 1.3.

7 LARGE NEARLY REGULAR INDUCED SUBGRAPHS 1331 Proof of Theorem 1.. By Lemma.3 (with ε 36 a iduced subgraph G of desity p p o playig the role of ε), G cotais ( ) 7 ε ε l( 1 p ) ( ε ε = 36 6)144 l( 1 p ) vertices, such that every set of t ε 36 vertices of G spas at most ( ) t p (1 + ε 36 ) edges. Sice p p> 1/ (as p>0is a costat ad is large), Lemma.5 implies that G cotais a iduced subgraph G o at least / vertices which is c-early-regular for c = Proof of Theorem 1.3. Set ε 36 =1+ε, as eeded. ε 0 = ε 36, a = ε 0 3 l(1/ε 0 ). Let G =(V,E) be a graph o vertices. Deote by p = E / ( ) the desity of G. The average degree of G is at most p ad by Turá s theorem G cotais a idepedet set U of size /(p + 1). Therefore we ca assume that p a, as otherwise, p +1 1 a +1 (1 o(1))a =(1 o(1)) =(1 o(1)) ε 108 l(36/ε ε ) > 50 l(1/ε), ε 0 3l(1/ε 0 ) where here we used the assumptios that ε is sufficietly small ad is sufficietly large. This gives a iduced 0-regular subgraph of G, ad we ca thus ideed assume that p a. By Lemma.3, G cotais a iduced subgraph G of desity p p o ε l( a ) 0 3l(1/ε 0 ) l ε0 = ε0 = 1 3 vertices, i which the desity of the iduced subgraph o ay set of at least ε 0 vertices does ot exceed p (1 + ε 0 ). By Lemma.5, G (ad hece G) cotais a iduced subgraph o at least /3 vertices, which is (1 + 6 ε 0 )=(1+ε)- early regular, completig the proof. Remark. Note that we have actually proved the followig result, which is stroger tha the assertio of Theorem 1.3: Every graph o vertices cotais either ε a idepedet set of size at least 50 l(1/ε),ora(1+ε)-early regular iduced subgraph o at least 0.5 1/3 vertices. 3. Upper bouds The strictly regular case. Proof of Theorem 1.4. Fix a iteger k satisfyig k C 1/ l 3/4, where C>0 is a sufficietly large costat to be set later. We will work with the followig model of radom graphs o vertices which we deote by G(, p). Let p =(p 1,...,p ), where p i = i, i =1,...,.

8 133 NOGA ALON, MICHAEL KRIVELEVICH, AND BENNY SUDAKOV The G(, p) is the probability space of graphs with vertex set [] = {1,..., }, where for each pair 1 i j, (i, j) is a edge of G(, p) with probability p i p j, idepedetly of all other pairs. Notice that the probability of each idividual pair (i, j) to be a edge of G(, p) is strictly betwee 1/16 ad 9/16. Propositio 3.1. Let X 1,...,X t be idepedet Beroulli radom variables, where Pr[X i =1]=ρ i, i =1,...,t. Let X = X X t. Assume that 1/16 ρ i 9/16 for i =1,...,t. The for every iteger 0 s t, Pr[X = s] c 0 / t for some absolute costat c 0 > 0. Proof. For every 1 i t, we represet X i as a product X i = Y i Z i, where {Y i,z i } is a collectio of mutually idepedet Beroulli radom variables defied by Pr[Y i =1]= 9 16, Pr[Z i =1]= 16 9 ρ i, i =1,...,t. Set I 0 = {1 i t : Z i =1}. Sice ρ i 1/16 for all 1 i t, we have that Pr[Z i =1] 1 9 ad E[ I 0 ] t 9. By stadard large deviatio argumets, I 0 t/10 with probability 1 o( 1 t ). Thus Pr[X = s] = [ ] Pr[I 0 = I] Pr Y i = s = Pr[I 0 = I]Pr[B( I, 9/16) = s] I [t] I [t] Pr[ I 0 <t/10] + i I I t/10 Pr[I 0 = I]Pr[B( I, 9/16) = s]. Here B(, p) deotes the biomial radom variable with parameters ad p. From kow estimates o biomial radom variables, we obtai that Pr[B(r, 9 16 )=s] c r 4c t for every r t 10, where c>0is a absolute costat. Pluggig this estimate ito the iequality above, we get the claimed result. Lemma 3.. Let U [] be a fixed set of U = k vertices. The the probability that i G(, p), with p as defied above, the graph G[U] is a regular graph is at most ( ) c 1k k/ for some absolute costat c1 > 0. Proof. Fix the degree of regularity d of the regular subgraph G[U] (this ca be doe i ways). Let U = {u 1,u,...,u k }. We boud the probability that the iduced subgraph G[U] isd-regular as follows. Expose the edges of G[U] by first exposig the edges from u 1 to U {u 1 }, the from u to U {u 1,u }, etc. If vertex u i gets t i eighbors i {u 1,...,u i 1 }, the u i should have exactly d t i eighbors i {u i+1,...,u k0 }. Recall that all edge probabilities i G(, p) are betwee 1/16 ad 9/16. Thus Propositio 3.1 applies, ad the probability of the latter evet is at most c 0 / k i. Multiplyig these probabilities for i =1,...,k, we derive that the probability that U is a d-regular graph is at most k 1 i=1 c 0 k i = (c 0) k 1 (k 1)! ( c1 ) k/, k where c 1 > 0 is a absolute costat ad the last iequality follows by applyig the Stirlig formula. We ca ow complete the proof of Theorem 1.4. We boud the probability that i G(, p) there exists a set U of size U = k such that U =(u 1 < <u k/ l k = a< <u k k/ l k = b< <u k ) ad G[U] is a regular graph by cosiderig two possible cases depedig o the differece t = b a betwee a ad b. Case 1. t c k 3/, where c > 0 is a small positive costat to be determied later.

9 LARGE NEARLY REGULAR INDUCED SUBGRAPHS 1333 The probability that there exists such a U is at most ( ( ) (3) ) t ( c1 ) k/. k/ l k k k/ l k k Ideed, there are less tha ( k/ l k) ways to choose the vertices u 1,...,u k/ l k 1,u k k/ l k+1,...,u k, less tha ways to choose the vertices a ad b so that the differece betwee them, t, is at most c k 3/, ad less tha ( t k k/ l k) ways to choose the vertices u k/ l k+1,...,u k k/ l k 1. For each such choice, the probability that the iduced subgraph o {u 1,u,...,u k } is regular is at most ( ) c 1k k/, by Lemma 3.. A simple computatio shows that the expressio i (3) is (much) smaller tha, say, 1/ for a appropriate choice of c. Ideed, sice k ad ( t k k/ l k) ( t ) k (et/k) k, this expressio is at most 3 k 4k/ l k ( et k ) k (c1 k ) k/ 3 k e 5k c k c k/ 1 = 3 [4e 10 c c 1 ] k/, implyig the required estimate by choosig, for example, c = 1 3e 5 c 1. Case. t c k 3/. Let U =(u 1 < <u k/ l k = a< <u k k/ l k = b< <u k ). Deote the first (smallest) k/ vertices of U by U 1, ad the last k/ vertices by U. Observe that if G[U] is a regular graph, the the two iduced subgraphs G[U 1 ] ad G[U ] have the same average degree. This is highly improbable. Ideed, by the defiitio of G(, p) the probability of each pair iside U 1 to become a edge is strictly less tha the probability of each pair iside U to become a edge. I additio, sice b a = t, the probability that each pair i, j U 1 with i<j,i a is a edge is less tha the probability that each pair i,j U with i <j,j b is a edge by Ω(t/) this is because i this case, ( i )( j ) ( i )( j ) Ω ( i + j ) i j ( j ) i Ω Ω ( ) t. It follows that the expected umber of edges iside U exceeds that iside U 1 by Ω( k t l k ). By Cheroff s iequality (cf., e.g., [1, Appedix A]), we obtai that the probability that G[U 1 ] ad G[U ] have the same average degree i G(, p) is at most exp{ c 3 k t /( l k)} for some absolute costat c 3 > 0. Thus, recallig our assumptio o t, we derive that the probability that there is U as above for which G[U] is a regular graph is at most ( ) k e c 3 k t l k ( e k ) ( k e c 3 c k5 e l k = c 3 c k e k4 l k ) k. Fially, as k C 1/ l 3/4 ad l k = Θ(l ), we ca choose C>0 to be large eough so that the above expressio is (much) smaller tha 1/.

10 1334 NOGA ALON, MICHAEL KRIVELEVICH, AND BENNY SUDAKOV Combiig the two cases, we coclude that the probability that for ay fixed k which is at least C 1/ l 3/4 our graph cotais a iduced regular subgraph o k vertices is smaller tha / < 1/, ad as there are less tha choices for k, this shows that with positive probability the graph cotais o such subgraph. This completes the proof of Theorem The early regular case. Proof of Propositio 1.5. We will prove that for every (large) there exists a graph G o vertices i which every K-early regular iduced subgraph has at most 7K/log vertices. Assume first that is of the form =(s + 1) s for a positive iteger s. Notice that s =(1 o(1)) log. Take a set V of vertices ad partitio it ito s +1 disjoit equally sized subsets V 0,...,V s, V i = s. Now we defie G as follows. For i =0,...,s the set V i spas s i disjoit cliques of size i each. There are o edges betwee the cliques iside V i ad o edges betwee distict subsets V i V j i G. Assume ow that a subset U V spas a graph G[U] satisfyig δ(g[u]) = d, Δ(G[U]) Kd. Observe that the degrees of all vertices from V i i G are i 1, ad thus if i 1 <d, the U V i =. Let ow i d+1. Sice Δ(G[U]) Kd, U has at most Kd+ 1 vertices i each clique spaed by V i, implyig U V i s i (Kd+ 1). Therefore, U = s U V i = i=0 s i= log (d+1) i: i d+1 U V i s i (Kd +1)< (Kd + 1) s log (d+1) +1 (Kd +1) s (Kd +1) = d +1 d +1 ( + o(1))k s +1 log, implyig the desired result. For ot of the form =(s + 1) s, choose a miimal s satisfyig (s + 1) s. Let =(s + 1) s. It is easy to verify that 3. Now we ca apply the above costructio to create a graph G o vertices i which every K-early iduced subgraph has at most ( + o(1))k / log 7K/log vertices, ad the take G to be a arbitrary iduced subgraph of G o exactly vertices. 4. Ope problems. The most itriguig ope problem is that of obtaiig a better estimate for f(, 1). I particular, the cojecture of Erdős, Fajtlowicz, ad Stato that f(, 1)/ l teds to ifiity as teds to ifiity remais ope. The values of f(, 1) for 17 have bee determied by the authors of [5] ad by McKay, ad these are ideed larger tha the bouds that follow from the correspodig Ramsey umbers. Our upper ad lower bouds for f(, c) for c>1 are also rather far from each other, ad it will be ice to better uderstad the behavior of this fuctio. Oe ca also study a variat of the problems cosidered here that deals with ot ecessarily iduced subgraphs. Of course, every graph cotais a regular subgraph o all vertices (the subgraph with o edges), ad hece i this case it is atural to look for regular or early regular subgraphs with a large umber of edges. For every two positive itegers, m with m ( ) ad a real c 1, let g(, m, c) deote the largest g so that every graph with vertices ad m edges cotais a (ot ecessarily

11 LARGE NEARLY REGULAR INDUCED SUBGRAPHS 1335 iduced) c-early regular subgraph with at least g edges. The problems of determiig or estimatig the behavior of this fuctio seems iterestig. Here we ca establish tighter estimates tha the oes obtaied for the iduced case. Cosider first the case c = 1. Sice the complete graph o vertices ca be covered by matchigs (ad by ( 1) for eve ), it follows that every graph with m edges cotais a matchig of size at least m/. This implies that g(, m, 1) m/. The star K 1, 1 shows that for some values of m ad this is essetially tight, ad that g(, m, 1) = 1 for all 1 m <. By a simple applicatio of Szemerédi s regularity lemma it ca be show (see [8]) that for every fixed p > 0 there is a δ = δ(p) > 0 so that g(, p, 1) δ. This boud was sigificatly improved by Rödl ad Wysocka [9], who proved that every graph with vertices ad p edges cotais a r-regular subgraph with r αp 3 for some positive costat α. For a larger costat c observe, first, that complete bipartite graphs show that for m, g(, m, c) O(c(m/) )=O(cd ), where d =m/ is the average degree of a graph with vertices ad m edges. Ideed, a complete bipartite graph K k, k with k / has average degree d =Θ(k). Every c-early regular subgraph i it has miimum degree at most k, ad hece maximum degree at most ck. Thus it caot have more tha k ck = ck edges. Therefore, for every fixed c>1 there exists some C = C(c) so that g(m,, c) C(m/) for all m>. We ca show that for c> this is tight, up to a costat factor; amely, for ay c> there is a b = b(c) > 0so that g(, m, c) b(m/) for all m>. For simplicity we preset the proof oly for c = 5; the proof for ay other c> is similar. Theorem 4.1. Let G =(V,E) be a graph with V = vertices, E = m> edges, ad average degree d = d(g) = m/. The G cotais a 5-early regular subgraph with at least d edges. 1 Proof. We apply the method of Pyber [7] together with a few extra twists. Clearly we may assume that d 6. First, omit from G repeatedly vertices of degree smaller tha d/, as log as there are such vertices. As this process ca oly icrease the average degree, it eds with a oempty graph G with miimum degree at least d/. Now take a spaig bipartite subgraph of G with the maximum umber of edges. It is easy to see ad well kow that the degree of every vertex i this bipartite subgraph is at least half its degree i G, givig a bipartite graph H with miimum degree at least d/4. Put H 1 = H. Let A ad B deote the two vertex classes of H, where A B. Let A 1 A be a oempty subset of A which satisfies N H1 (A 1 ) A 1 ad A 1 is miimal with respect to cotaimet (subject to the coditio above ad to beig oempty). Clearly there is such a A 1,as N H1 (A) A ad N H1 (v) d/4 > 1 for all v A. Put N H1 (A 1 )=B 1 ad ote that by the miimality of A 1, A 1 = B 1. By the miimality, agai, ad by Hall s theorem, there is a matchig M 1 saturatig A 1 ad B 1. Let H be the graph obtaied from H 1 by deletig all edges of M 1.Now let A A 1 be a oempty, miimal subset of A 1 satisfyig N H (A ) A. As before, there is such a set, as N H (A 1 ) N H1 (A 1 ) = A 1. The miimality shows, agai, that i fact N H (A ) = A, ad that there is a matchig M saturatig A ad N H (A )=B. Proceedig i this maer we defie a sequece of sets A d/4 A d/4 1 A A 1 A ad B d/4 B d/4 1 B B 1 B where A i = B i for all i, ad a sequece of pairwise edge-disjoit matchigs M d/4,...,m,m 1, where M i is a perfect matchig betwee A i ad B i. Note that, ideed,

12 1336 NOGA ALON, MICHAEL KRIVELEVICH, AND BENNY SUDAKOV this process does ot termiate before these d/4 phases, as iitially all degrees i H are at least d/4, ad with the omissio of each matchig the degrees drop by 1. For coveiece we assume, from ow o, that d is a power of (otherwise, simply cosider oly the first d /4 sets A i,b i ad matchigs M i, where d >d/ is the largest power of that does ot exceed d). Note that A d/8 >d/8, sice every vertex of B d/4 is icidet with a edge of each of the matchigs M i for d/8 i d/4, ad all these edges are icidet with vertices of A d/8. We cosider two possible cases. Case 1. For every i, 0 i log d 4, I this case, A d/ i+4 > A d/ i+3. A 1 > log d 3 A d/8 d 64, ad the matchig M 1 is a regular subgraph with more tha d /64 edges, supplyig the desired result (with room to spare). Case. There is a i, 0 i log d 4, such that A d/ i+4 A d/ i+3. I this case, take the miimum i for which this holds. The A d/ i+3 > i A d/8 i 3 d. Let H d d be the graph cosistig of the matchigs M i+4 j for j< d i+4. The i+3 vertices of H are all those saturated by the largest matchig amog those, amely, M. The the maximum degree i d H d is exactly i+4 (as every vertex of A i+4 d/ i+3 d has that degree), ad the average degree is at least half of that, sice each of the i+4 matchigs M j above is of size at least half that of the largest oe, which is spaig. As i H the degree of every vertex of A d/ i+3 is exactly d, ad the total umber i+4 of edges of H is at least d A d/ i+3 i+4 d i 3 d i+4 = 7 d. Thus, H is a graph with maximum degree that exceeds the average degree by a factor of at most K =. We ca ow apply Propositio.1 with K = ad α =0.4 to coclude that H cotais a K/α = 5-early regular subgraph with at least edges, completig the proof. K Kα K 4α E(H ) d Ackowledgmets. We thak Domigos Dellamoica ad Vojta Rödl for poitig a error i a early versio of the paper. REFERENCES [1] N. Alo ad J. H. Specer, The Probabilistic Method, d ed., Wiley, New York, 000. [] F. R. K. Chug ad R. L. Graham, Erdős o Graphs: His Legacy of Usolved Problems, A. K. Peters, Ltd., Wellesley, MA, 1998.

13 LARGE NEARLY REGULAR INDUCED SUBGRAPHS 1337 [3] P. Erdős, O some of my favourite problems i various braches of combiatorics, i Proceedigs of the Fourth Czechoslovakia Symposium o Combiatorics, Graphs ad Complexity (Prachatice, 1990), A. Discrete Math. 51, North Hollad, Amsterdam, 199, pp [4] P. Erdős ad M. Simoovits, Some extremal problems i graph theory, i Combiatorial Theory ad Its Applicatios I (Proc. Colloq., Balatofüred, 1969), North Hollad, Amsterdam, 1970, pp [5] S. Fajtlowicz, T. McColga, T. Reid, ad W. Stato, Ramsey umbers for iduced regular subgraphs, Ars Combi., 39 (1995), pp [6] R. L. Graham, B. L. Rothschild, ad J. H. Specer, Ramsey Theory, d ed., Wiley, New York, [7] L. Pyber, Regular subgraphs of dese graphs, Combiatorica, 5 (1985), pp [8] L. Pyber, V. Rödl, ad E. Szemerédi, Dese graphs without 3-regular subgraphs, J. Combi. Theory Ser. B, 63 (1995), pp [9] V. Rödl ad B. Wysocka, Note o regular subgraphs, J. Graph Theory, 4 (1997), pp

Disjoint Systems. Abstract

Disjoint Systems. Abstract Disjoit Systems Noga Alo ad Bey Sudaov Departmet of Mathematics Raymod ad Beverly Sacler Faculty of Exact Scieces Tel Aviv Uiversity, Tel Aviv, Israel Abstract A disjoit system of type (,,, ) is a collectio

More information

Large holes in quasi-random graphs

Large holes in quasi-random graphs Large holes i quasi-radom graphs Joaa Polcy Departmet of Discrete Mathematics Adam Mickiewicz Uiversity Pozań, Polad joaska@amuedupl Submitted: Nov 23, 2006; Accepted: Apr 10, 2008; Published: Apr 18,

More information

Few remarks on Ramsey-Turán-type problems Benny Sudakov Λ Abstract Let H be a fixed forbidden graph and let f be a function of n. Denote by RT n; H; f

Few remarks on Ramsey-Turán-type problems Benny Sudakov Λ Abstract Let H be a fixed forbidden graph and let f be a function of n. Denote by RT n; H; f Few remarks o Ramsey-Turá-type problems Bey Sudakov Abstract Let H be a fixed forbidde graph ad let f be a fuctio of. Deote by ; H; f () the maximum umber of edges a graph G o vertices ca have without

More information

On Random Line Segments in the Unit Square

On Random Line Segments in the Unit Square O Radom Lie Segmets i the Uit Square Thomas A. Courtade Departmet of Electrical Egieerig Uiversity of Califoria Los Ageles, Califoria 90095 Email: tacourta@ee.ucla.edu I. INTRODUCTION Let Q = [0, 1] [0,

More information

Dense H-free graphs are almost (χ(h) 1)-partite

Dense H-free graphs are almost (χ(h) 1)-partite Dese H-free graphs are almost χh) 1)-partite Peter Alle arxiv:0907.815v1 [math.co] 22 Jul 2009 July 22, 2009 Abstract By usig the Szemerédi Regularity Lemma [9], Alo ad Sudakov [1] recetly exteded the

More information

Lecture 2. The Lovász Local Lemma

Lecture 2. The Lovász Local Lemma Staford Uiversity Sprig 208 Math 233A: No-costructive methods i combiatorics Istructor: Ja Vodrák Lecture date: Jauary 0, 208 Origial scribe: Apoorva Khare Lecture 2. The Lovász Local Lemma 2. Itroductio

More information

Independence number of graphs with a prescribed number of cliques

Independence number of graphs with a prescribed number of cliques Idepedece umber of graphs with a prescribed umber of cliques Tom Bohma Dhruv Mubayi Abstract We cosider the followig problem posed by Erdős i 1962. Suppose that G is a -vertex graph where the umber of

More information

Application to Random Graphs

Application to Random Graphs A Applicatio to Radom Graphs Brachig processes have a umber of iterestig ad importat applicatios. We shall cosider oe of the most famous of them, the Erdős-Réyi radom graph theory. 1 Defiitio A.1. Let

More information

Convergence of random variables. (telegram style notes) P.J.C. Spreij

Convergence of random variables. (telegram style notes) P.J.C. Spreij Covergece of radom variables (telegram style otes).j.c. Spreij this versio: September 6, 2005 Itroductio As we kow, radom variables are by defiitio measurable fuctios o some uderlyig measurable space

More information

Lecture 2 Long paths in random graphs

Lecture 2 Long paths in random graphs Lecture Log paths i radom graphs 1 Itroductio I this lecture we treat the appearace of log paths ad cycles i sparse radom graphs. will wor with the probability space G(, p) of biomial radom graphs, aalogous

More information

An exact result for hypergraphs and upper bounds for the Turán density of K r r+1

An exact result for hypergraphs and upper bounds for the Turán density of K r r+1 A exact result for hypergraphs ad upper bouds for the Turá desity of K r r+1 Liyua Lu Departmet of Mathematics Uiversity of outh Carolia Columbia, C 908 Yi Zhao Departmet of Mathematics ad tatistics Georgia

More information

arxiv: v3 [math.co] 6 Aug 2014

arxiv: v3 [math.co] 6 Aug 2014 NEAR PERFECT MATCHINGS IN -UNIFORM HYPERGRAPHS arxiv:1404.1136v3 [math.co] 6 Aug 2014 JIE HAN Abstract. Let H be a -uiform hypergraph o vertices where is a sufficietly large iteger ot divisible by. We

More information

Citation for the original published paper (version of record): N.B. When citing this work, cite the original published paper.

Citation for the original published paper (version of record): N.B. When citing this work, cite the original published paper. http://www.diva-portal.org This is the published versio of a paper published i The Electroic Joural of Combiatorics. Citatio for the origial published paper (versio of record: Falgas-Ravry, V., Lo, A.

More information

On matchings in hypergraphs

On matchings in hypergraphs O matchigs i hypergraphs Peter Frakl Tokyo, Japa peter.frakl@gmail.com Tomasz Luczak Adam Mickiewicz Uiversity Faculty of Mathematics ad CS Pozań, Polad ad Emory Uiversity Departmet of Mathematics ad CS

More information

Problem Set 2 Solutions

Problem Set 2 Solutions CS271 Radomess & Computatio, Sprig 2018 Problem Set 2 Solutios Poit totals are i the margi; the maximum total umber of poits was 52. 1. Probabilistic method for domiatig sets 6pts Pick a radom subset S

More information

Optimally Sparse SVMs

Optimally Sparse SVMs A. Proof of Lemma 3. We here prove a lower boud o the umber of support vectors to achieve geeralizatio bouds of the form which we cosider. Importatly, this result holds ot oly for liear classifiers, but

More information

Balanced coloring of bipartite graphs

Balanced coloring of bipartite graphs Balaced colorig of bipartite graphs Uriel Feige Shimo Koga Departmet of Computer Sciece ad Applied Mathematics Weizma Istitute, Rehovot 76100, Israel uriel.feige@weizma.ac.il Jue 16, 009 Abstract Give

More information

An Introduction to Randomized Algorithms

An Introduction to Randomized Algorithms A Itroductio to Radomized Algorithms The focus of this lecture is to study a radomized algorithm for quick sort, aalyze it usig probabilistic recurrece relatios, ad also provide more geeral tools for aalysis

More information

A Hypergraph Extension. Bipartite Turán Problem

A Hypergraph Extension. Bipartite Turán Problem A Hypergraph Extesio of the Bipartite Turá Problem Dhruv Mubayi 1 Jacques Verstraëte Abstract. Let t, be itegers with t. For t, we prove that i ay family of at least t 4( ) triples from a -elemet set X,

More information

BI-INDUCED SUBGRAPHS AND STABILITY NUMBER *

BI-INDUCED SUBGRAPHS AND STABILITY NUMBER * Yugoslav Joural of Operatios Research 14 (2004), Number 1, 27-32 BI-INDUCED SUBGRAPHS AND STABILITY NUMBER * I E ZVEROVICH, O I ZVEROVICH RUTCOR Rutgers Ceter for Operatios Research, Rutgers Uiversity,

More information

Basics of Probability Theory (for Theory of Computation courses)

Basics of Probability Theory (for Theory of Computation courses) Basics of Probability Theory (for Theory of Computatio courses) Oded Goldreich Departmet of Computer Sciece Weizma Istitute of Sciece Rehovot, Israel. oded.goldreich@weizma.ac.il November 24, 2008 Preface.

More information

1+x 1 + α+x. x = 2(α x2 ) 1+x

1+x 1 + α+x. x = 2(α x2 ) 1+x Math 2030 Homework 6 Solutios # [Problem 5] For coveiece we let α lim sup a ad β lim sup b. Without loss of geerality let us assume that α β. If α the by assumptio β < so i this case α + β. By Theorem

More information

Edge Disjoint Hamilton Cycles

Edge Disjoint Hamilton Cycles Edge Disjoit Hamilto Cycles April 26, 2015 1 Itroductio l +l l +c I the late 70s, it was show by Komlós ad Szemerédi ([7]) that for p =, the limit probability for G(, p) to cotai a Hamilto cycle equals

More information

(A sequence also can be thought of as the list of function values attained for a function f :ℵ X, where f (n) = x n for n 1.) x 1 x N +k x N +4 x 3

(A sequence also can be thought of as the list of function values attained for a function f :ℵ X, where f (n) = x n for n 1.) x 1 x N +k x N +4 x 3 MATH 337 Sequeces Dr. Neal, WKU Let X be a metric space with distace fuctio d. We shall defie the geeral cocept of sequece ad limit i a metric space, the apply the results i particular to some special

More information

HOMEWORK 2 SOLUTIONS

HOMEWORK 2 SOLUTIONS HOMEWORK SOLUTIONS CSE 55 RANDOMIZED AND APPROXIMATION ALGORITHMS 1. Questio 1. a) The larger the value of k is, the smaller the expected umber of days util we get all the coupos we eed. I fact if = k

More information

Product measures, Tonelli s and Fubini s theorems For use in MAT3400/4400, autumn 2014 Nadia S. Larsen. Version of 13 October 2014.

Product measures, Tonelli s and Fubini s theorems For use in MAT3400/4400, autumn 2014 Nadia S. Larsen. Version of 13 October 2014. Product measures, Toelli s ad Fubii s theorems For use i MAT3400/4400, autum 2014 Nadia S. Larse Versio of 13 October 2014. 1. Costructio of the product measure The purpose of these otes is to preset the

More information

Discrepancy of random graphs and hypergraphs

Discrepancy of random graphs and hypergraphs Discrepacy of radom graphs ad hypergraphs Jie Ma Humberto aves Bey Sudaov Abstract Aswerig i a strog form a questio posed by Bollobás ad Scott, i this paper we determie the discrepacy betwee two radom

More information

# fixed points of g. Tree to string. Repeatedly select the leaf with the smallest label, write down the label of its neighbour and remove the leaf.

# fixed points of g. Tree to string. Repeatedly select the leaf with the smallest label, write down the label of its neighbour and remove the leaf. Combiatorics Graph Theory Coutig labelled ad ulabelled graphs There are 2 ( 2) labelled graphs of order. The ulabelled graphs of order correspod to orbits of the actio of S o the set of labelled graphs.

More information

On two Hamilton cycle problems in random graphs

On two Hamilton cycle problems in random graphs O two Hamilto cycle problems i radom graphs Ala Frieze Michael Krivelevich November 16, 2006 Abstract We study two problems related to the existece of Hamilto cycles i radom graphs. The first questio relates

More information

The log-behavior of n p(n) and n p(n)/n

The log-behavior of n p(n) and n p(n)/n Ramauja J. 44 017, 81-99 The log-behavior of p ad p/ William Y.C. Che 1 ad Ke Y. Zheg 1 Ceter for Applied Mathematics Tiaji Uiversity Tiaji 0007, P. R. Chia Ceter for Combiatorics, LPMC Nakai Uivercity

More information

Math F215: Induction April 7, 2013

Math F215: Induction April 7, 2013 Math F25: Iductio April 7, 203 Iductio is used to prove that a collectio of statemets P(k) depedig o k N are all true. A statemet is simply a mathematical phrase that must be either true or false. Here

More information

Math 216A Notes, Week 5

Math 216A Notes, Week 5 Math 6A Notes, Week 5 Scribe: Ayastassia Sebolt Disclaimer: These otes are ot early as polished (ad quite possibly ot early as correct) as a published paper. Please use them at your ow risk.. Thresholds

More information

The random version of Dvoretzky s theorem in l n

The random version of Dvoretzky s theorem in l n The radom versio of Dvoretzky s theorem i l Gideo Schechtma Abstract We show that with high probability a sectio of the l ball of dimesio k cε log c > 0 a uiversal costat) is ε close to a multiple of the

More information

Dirac s theorem for random graphs

Dirac s theorem for random graphs Dirac s theorem for radom graphs Choogbum Lee Bey Sudakov Abstract A classical theorem of Dirac from 1952 asserts that every graph o vertices with miimum degree at least /2 is Hamiltoia. I this paper we

More information

Robust Hamiltonicity of Dirac graphs

Robust Hamiltonicity of Dirac graphs Robust Hamiltoicity of Dirac graphs Michael Krivelevich Choogbum Lee Bey Sudakov Abstract A graph is Hamiltoia if it cotais a cycle which passes through every vertex of the graph exactly oce. A classical

More information

Dense H-free graphs are almost (χ(h) 1)-partite

Dense H-free graphs are almost (χ(h) 1)-partite Dese H-free graphs are almost (χ(h) 1)-partite Peter Alle November 24, 2010 Abstract By usig the Szemerédi Regularity Lemma [13], Alo ad Sudakov [1] recetly exteded the classical Adrásfai-Erdős-Sós theorem

More information

A Hadamard-type lower bound for symmetric diagonally dominant positive matrices

A Hadamard-type lower bound for symmetric diagonally dominant positive matrices A Hadamard-type lower boud for symmetric diagoally domiat positive matrices Christopher J. Hillar, Adre Wibisoo Uiversity of Califoria, Berkeley Jauary 7, 205 Abstract We prove a ew lower-boud form of

More information

Model Theory 2016, Exercises, Second batch, covering Weeks 5-7, with Solutions

Model Theory 2016, Exercises, Second batch, covering Weeks 5-7, with Solutions Model Theory 2016, Exercises, Secod batch, coverig Weeks 5-7, with Solutios 3 Exercises from the Notes Exercise 7.6. Show that if T is a theory i a coutable laguage L, haso fiite model, ad is ℵ 0 -categorical,

More information

Discrepancy of random graphs and hypergraphs

Discrepancy of random graphs and hypergraphs Discrepacy of radom graphs ad hypergraphs Jie Ma Humberto aves Bey Sudaov Abstract Aswerig i a strog form a questio posed by Bollobás ad Scott, i this paper we determie the discrepacy betwee two radom

More information

Axioms of Measure Theory

Axioms of Measure Theory MATH 532 Axioms of Measure Theory Dr. Neal, WKU I. The Space Throughout the course, we shall let X deote a geeric o-empty set. I geeral, we shall ot assume that ay algebraic structure exists o X so that

More information

Biased Games On Random Boards

Biased Games On Random Boards Biased Games O Radom Boards Asaf Ferber Roma Glebov Michael Krivelevich Alo Naor September 6, 2013 Abstract I this paper we aalyze biased Maker-Breaker games ad Avoider-Eforcer games, both played o the

More information

DECOMPOSITIONS OF COMPLETE UNIFORM HYPERGRAPHS INTO HAMILTON BERGE CYCLES

DECOMPOSITIONS OF COMPLETE UNIFORM HYPERGRAPHS INTO HAMILTON BERGE CYCLES DECOMPOSITIONS OF COMPLETE UNIFORM HYPERGRAPHS INTO HAMILTON BERGE CYCLES DANIELA KÜHN AND DERYK OSTHUS Abstract. I 1973 Bermod, Germa, Heydema ad Sotteau cojectured that if divides (, the the complete

More information

Hoggatt and King [lo] defined a complete sequence of natural numbers

Hoggatt and King [lo] defined a complete sequence of natural numbers REPRESENTATIONS OF N AS A SUM OF DISTINCT ELEMENTS FROM SPECIAL SEQUENCES DAVID A. KLARNER, Uiversity of Alberta, Edmoto, Caada 1. INTRODUCTION Let a, I deote a sequece of atural umbers which satisfies

More information

On the Probability of Independent Sets in Random Graphs

On the Probability of Independent Sets in Random Graphs O the Probability of Idepedet Sets i Radom Graphs Michael Krivelevich,, * Bey Sudakov, 2,3, VaH.Vu, 4, Nicholas C. Wormald 5, Departmet of Mathematics, Raymod ad Beverly Sackler Faculty of Exact Scieces,

More information

Advanced Stochastic Processes.

Advanced Stochastic Processes. Advaced Stochastic Processes. David Gamarik LECTURE 2 Radom variables ad measurable fuctios. Strog Law of Large Numbers (SLLN). Scary stuff cotiued... Outlie of Lecture Radom variables ad measurable fuctios.

More information

Math 61CM - Solutions to homework 3

Math 61CM - Solutions to homework 3 Math 6CM - Solutios to homework 3 Cédric De Groote October 2 th, 208 Problem : Let F be a field, m 0 a fixed oegative iteger ad let V = {a 0 + a x + + a m x m a 0,, a m F} be the vector space cosistig

More information

On Algorithm for the Minimum Spanning Trees Problem with Diameter Bounded Below

On Algorithm for the Minimum Spanning Trees Problem with Diameter Bounded Below O Algorithm for the Miimum Spaig Trees Problem with Diameter Bouded Below Edward Kh. Gimadi 1,2, Alexey M. Istomi 1, ad Ekateria Yu. Shi 2 1 Sobolev Istitute of Mathematics, 4 Acad. Koptyug aveue, 630090

More information

THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS

THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS DEMETRES CHRISTOFIDES Abstract. Cosider a ivertible matrix over some field. The Gauss-Jorda elimiatio reduces this matrix to the idetity

More information

Randomized Algorithms I, Spring 2018, Department of Computer Science, University of Helsinki Homework 1: Solutions (Discussed January 25, 2018)

Randomized Algorithms I, Spring 2018, Department of Computer Science, University of Helsinki Homework 1: Solutions (Discussed January 25, 2018) Radomized Algorithms I, Sprig 08, Departmet of Computer Sciece, Uiversity of Helsiki Homework : Solutios Discussed Jauary 5, 08). Exercise.: Cosider the followig balls-ad-bi game. We start with oe black

More information

The Boolean Ring of Intervals

The Boolean Ring of Intervals MATH 532 Lebesgue Measure Dr. Neal, WKU We ow shall apply the results obtaied about outer measure to the legth measure o the real lie. Throughout, our space X will be the set of real umbers R. Whe ecessary,

More information

REAL ANALYSIS II: PROBLEM SET 1 - SOLUTIONS

REAL ANALYSIS II: PROBLEM SET 1 - SOLUTIONS REAL ANALYSIS II: PROBLEM SET 1 - SOLUTIONS 18th Feb, 016 Defiitio (Lipschitz fuctio). A fuctio f : R R is said to be Lipschitz if there exists a positive real umber c such that for ay x, y i the domai

More information

A New Solution Method for the Finite-Horizon Discrete-Time EOQ Problem

A New Solution Method for the Finite-Horizon Discrete-Time EOQ Problem This is the Pre-Published Versio. A New Solutio Method for the Fiite-Horizo Discrete-Time EOQ Problem Chug-Lu Li Departmet of Logistics The Hog Kog Polytechic Uiversity Hug Hom, Kowloo, Hog Kog Phoe: +852-2766-7410

More information

Two results on the digraph chromatic number

Two results on the digraph chromatic number Two results o the digraph chromatic umber Ararat Harutyuya Departmet of Mathematics Simo Fraser Uiversity Buraby, B.C. V5A 1S6 email: aha43@sfu.ca Boja Mohar Departmet of Mathematics Simo Fraser Uiversity

More information

MATH 324 Summer 2006 Elementary Number Theory Solutions to Assignment 2 Due: Thursday July 27, 2006

MATH 324 Summer 2006 Elementary Number Theory Solutions to Assignment 2 Due: Thursday July 27, 2006 MATH 34 Summer 006 Elemetary Number Theory Solutios to Assigmet Due: Thursday July 7, 006 Departmet of Mathematical ad Statistical Scieces Uiversity of Alberta Questio [p 74 #6] Show that o iteger of the

More information

The minimum value and the L 1 norm of the Dirichlet kernel

The minimum value and the L 1 norm of the Dirichlet kernel The miimum value ad the L orm of the Dirichlet kerel For each positive iteger, defie the fuctio D (θ + ( cos θ + cos θ + + cos θ e iθ + + e iθ + e iθ + e + e iθ + e iθ + + e iθ which we call the (th Dirichlet

More information

An analog of the arithmetic triangle obtained by replacing the products by the least common multiples

An analog of the arithmetic triangle obtained by replacing the products by the least common multiples arxiv:10021383v2 [mathnt] 9 Feb 2010 A aalog of the arithmetic triagle obtaied by replacig the products by the least commo multiples Bair FARHI bairfarhi@gmailcom MSC: 11A05 Keywords: Al-Karaji s triagle;

More information

Pairs of disjoint q-element subsets far from each other

Pairs of disjoint q-element subsets far from each other Pairs of disjoit q-elemet subsets far from each other Hikoe Eomoto Departmet of Mathematics, Keio Uiversity 3-14-1 Hiyoshi, Kohoku-Ku, Yokohama, 223 Japa, eomoto@math.keio.ac.jp Gyula O.H. Katoa Alfréd

More information

Econ 325/327 Notes on Sample Mean, Sample Proportion, Central Limit Theorem, Chi-square Distribution, Student s t distribution 1.

Econ 325/327 Notes on Sample Mean, Sample Proportion, Central Limit Theorem, Chi-square Distribution, Student s t distribution 1. Eco 325/327 Notes o Sample Mea, Sample Proportio, Cetral Limit Theorem, Chi-square Distributio, Studet s t distributio 1 Sample Mea By Hiro Kasahara We cosider a radom sample from a populatio. Defiitio

More information

Almost-spanning universality in random graphs

Almost-spanning universality in random graphs Almost-spaig uiversality i radom graphs David Colo Asaf Ferber Rajko Neadov Nemaja Škorić Abstract A graph G is said to be H(, )-uiversal if it cotais every graph o vertices with maximum degree at most.

More information

Commutativity in Permutation Groups

Commutativity in Permutation Groups Commutativity i Permutatio Groups Richard Wito, PhD Abstract I the group Sym(S) of permutatios o a oempty set S, fixed poits ad trasiet poits are defied Prelimiary results o fixed ad trasiet poits are

More information

On the probability of independent sets in random graphs

On the probability of independent sets in random graphs O the probability of idepedet sets i radom graphs Michael Krivelevich Bey Sudakov Va H Vu Nicholas C Wormald Abstract Let k be the asymptotic value of the idepedece umber of the radom graph G, p We prove

More information

Induced subgraphs of prescribed size

Induced subgraphs of prescribed size Induced subgraphs of prescribed size Noga Alon Michael Krivelevich Benny Sudakov Abstract A subgraph of a graph G is called trivial if it is either a clique or an independent set. Let q(g denote the maximum

More information

DECOMPOSITIONS OF COMPLETE UNIFORM HYPERGRAPHS INTO HAMILTON BERGE CYCLES

DECOMPOSITIONS OF COMPLETE UNIFORM HYPERGRAPHS INTO HAMILTON BERGE CYCLES DECOMPOSITIONS OF COMPLETE UNIFORM HYPERGRAPHS INTO HAMILTON BERGE CYCLES DANIELA KÜHN AND DERYK OSTHUS Abstract. I 1973 Bermod, Germa, Heydema ad Sotteau cojectured that if divides (, the the complete

More information

ON THE LEHMER CONSTANT OF FINITE CYCLIC GROUPS

ON THE LEHMER CONSTANT OF FINITE CYCLIC GROUPS ON THE LEHMER CONSTANT OF FINITE CYCLIC GROUPS NORBERT KAIBLINGER Abstract. Results of Lid o Lehmer s problem iclude the value of the Lehmer costat of the fiite cyclic group Z/Z, for 5 ad all odd. By complemetary

More information

Almost-spanning universality in random graphs

Almost-spanning universality in random graphs Almost-spaig uiversality i radom graphs David Colo Asaf Ferber Rajko Neadov Nemaja Škorić Abstract A graph G is said to be H(, )-uiversal if it cotais every graph o at most vertices with maximum degree

More information

Technische Universität Ilmenau Institut für Mathematik

Technische Universität Ilmenau Institut für Mathematik Techische Uiversität Ilmeau Istitut für Mathematik Preprit No. M 07/09 Domiatio i graphs of miimum degree at least two ad large girth Löwestei, Christia; Rautebach, Dieter 2007 Impressum: Hrsg.: Leiter

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 19 11/17/2008 LAWS OF LARGE NUMBERS II THE STRONG LAW OF LARGE NUMBERS

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 19 11/17/2008 LAWS OF LARGE NUMBERS II THE STRONG LAW OF LARGE NUMBERS MASSACHUSTTS INSTITUT OF TCHNOLOGY 6.436J/5.085J Fall 2008 Lecture 9 /7/2008 LAWS OF LARG NUMBRS II Cotets. The strog law of large umbers 2. The Cheroff boud TH STRONG LAW OF LARG NUMBRS While the weak

More information

Disjoint unions of complete graphs characterized by their Laplacian spectrum

Disjoint unions of complete graphs characterized by their Laplacian spectrum Electroic Joural of Liear Algebra Volume 18 Volume 18 (009) Article 56 009 Disjoit uios of complete graphs characterized by their Laplacia spectrum Romai Boulet boulet@uiv-tlse.fr Follow this ad additioal

More information

It is always the case that unions, intersections, complements, and set differences are preserved by the inverse image of a function.

It is always the case that unions, intersections, complements, and set differences are preserved by the inverse image of a function. MATH 532 Measurable Fuctios Dr. Neal, WKU Throughout, let ( X, F, µ) be a measure space ad let (!, F, P ) deote the special case of a probability space. We shall ow begi to study real-valued fuctios defied

More information

Self-normalized deviation inequalities with application to t-statistic

Self-normalized deviation inequalities with application to t-statistic Self-ormalized deviatio iequalities with applicatio to t-statistic Xiequa Fa Ceter for Applied Mathematics, Tiaji Uiversity, 30007 Tiaji, Chia Abstract Let ξ i i 1 be a sequece of idepedet ad symmetric

More information

Sequences and Series of Functions

Sequences and Series of Functions Chapter 6 Sequeces ad Series of Fuctios 6.1. Covergece of a Sequece of Fuctios Poitwise Covergece. Defiitio 6.1. Let, for each N, fuctio f : A R be defied. If, for each x A, the sequece (f (x)) coverges

More information

Largest families without an r-fork

Largest families without an r-fork Largest families without a r-for Aalisa De Bois Uiversity of Salero Salero, Italy debois@math.it Gyula O.H. Katoa Réyi Istitute Budapest, Hugary ohatoa@reyi.hu Itroductio Let [] = {,,..., } be a fiite

More information

TR/46 OCTOBER THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION A. TALBOT

TR/46 OCTOBER THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION A. TALBOT TR/46 OCTOBER 974 THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION by A. TALBOT .. Itroductio. A problem i approximatio theory o which I have recetly worked [] required for its solutio a proof that the

More information

A NOTE ON INVARIANT SETS OF ITERATED FUNCTION SYSTEMS

A NOTE ON INVARIANT SETS OF ITERATED FUNCTION SYSTEMS Acta Math. Hugar., 2007 DOI: 10.1007/s10474-007-7013-6 A NOTE ON INVARIANT SETS OF ITERATED FUNCTION SYSTEMS L. L. STACHÓ ad L. I. SZABÓ Bolyai Istitute, Uiversity of Szeged, Aradi vértaúk tere 1, H-6720

More information

Lovász Local Lemma a new tool to asymptotic enumeration?

Lovász Local Lemma a new tool to asymptotic enumeration? Lovász Local Lemma a ew tool to asymptotic eumeratio? Liyua Licol Lu László Székely Uiversity of South Carolia Supported by NSF DMS Overview LLL ad its geeralizatios LLL a istace of the Poisso paradigm

More information

Integrable Functions. { f n } is called a determining sequence for f. If f is integrable with respect to, then f d does exist as a finite real number

Integrable Functions. { f n } is called a determining sequence for f. If f is integrable with respect to, then f d does exist as a finite real number MATH 532 Itegrable Fuctios Dr. Neal, WKU We ow shall defie what it meas for a measurable fuctio to be itegrable, show that all itegral properties of simple fuctios still hold, ad the give some coditios

More information

The Random Walk For Dummies

The Random Walk For Dummies The Radom Walk For Dummies Richard A Mote Abstract We look at the priciples goverig the oe-dimesioal discrete radom walk First we review five basic cocepts of probability theory The we cosider the Beroulli

More information

Bertrand s Postulate

Bertrand s Postulate Bertrad s Postulate Lola Thompso Ross Program July 3, 2009 Lola Thompso (Ross Program Bertrad s Postulate July 3, 2009 1 / 33 Bertrad s Postulate I ve said it oce ad I ll say it agai: There s always a

More information

lim za n n = z lim a n n.

lim za n n = z lim a n n. Lecture 6 Sequeces ad Series Defiitio 1 By a sequece i a set A, we mea a mappig f : N A. It is customary to deote a sequece f by {s } where, s := f(). A sequece {z } of (complex) umbers is said to be coverget

More information

w (1) ˆx w (1) x (1) /ρ and w (2) ˆx w (2) x (2) /ρ.

w (1) ˆx w (1) x (1) /ρ and w (2) ˆx w (2) x (2) /ρ. 2 5. Weighted umber of late jobs 5.1. Release dates ad due dates: maximimizig the weight of o-time jobs Oce we add release dates, miimizig the umber of late jobs becomes a sigificatly harder problem. For

More information

Fast Strategies In Maker-Breaker Games Played on Random Boards

Fast Strategies In Maker-Breaker Games Played on Random Boards Fast Strategies I Maker-Breaker Games Played o Radom Boards Deis Clemes Asaf Ferber Michael Krivelevich Aita Liebeau March 15, 2012 Abstract I this paper we aalyze classical Maker-Breaker games played

More information

On size multipartite Ramsey numbers for stars versus paths and cycles

On size multipartite Ramsey numbers for stars versus paths and cycles Electroic Joural of Graph Theory ad Applicatios 5 (1) (2017), 4 50 O size multipartite Ramsey umbers for stars versus paths ad cycles Aie Lusiai 1, Edy Tri Baskoro, Suhadi Wido Saputro Combiatorial Mathematics

More information

A Note on Matrix Rigidity

A Note on Matrix Rigidity A Note o Matrix Rigidity Joel Friedma Departmet of Computer Sciece Priceto Uiversity Priceto, NJ 08544 Jue 25, 1990 Revised October 25, 1991 Abstract I this paper we give a explicit costructio of matrices

More information

Definition 4.2. (a) A sequence {x n } in a Banach space X is a basis for X if. unique scalars a n (x) such that x = n. a n (x) x n. (4.

Definition 4.2. (a) A sequence {x n } in a Banach space X is a basis for X if. unique scalars a n (x) such that x = n. a n (x) x n. (4. 4. BASES I BAACH SPACES 39 4. BASES I BAACH SPACES Sice a Baach space X is a vector space, it must possess a Hamel, or vector space, basis, i.e., a subset {x γ } γ Γ whose fiite liear spa is all of X ad

More information

Appendix to Quicksort Asymptotics

Appendix to Quicksort Asymptotics Appedix to Quicksort Asymptotics James Alle Fill Departmet of Mathematical Scieces The Johs Hopkis Uiversity jimfill@jhu.edu ad http://www.mts.jhu.edu/~fill/ ad Svate Jaso Departmet of Mathematics Uppsala

More information

CHAPTER 2 NEIGHBORHOOD CONNECTED PERFECT DOMINATION IN GRAPHS

CHAPTER 2 NEIGHBORHOOD CONNECTED PERFECT DOMINATION IN GRAPHS 22 CHAPTER 2 NEIGHBORHOOD CONNECTED PERFECT DOMINATION IN GRAPHS 2.1 INTRODUCTION Various types of domiatio have bee studied by several authors ad more tha 75 models of domiatio are listed i the appedix

More information

Math 220A Fall 2007 Homework #2. Will Garner A

Math 220A Fall 2007 Homework #2. Will Garner A Math 0A Fall 007 Homewor # Will Garer Pg 3 #: Show that {cis : a o-egative iteger} is dese i T = {z œ : z = }. For which values of q is {cis(q): a o-egative iteger} dese i T? To show that {cis : a o-egative

More information

Some remarks for codes and lattices over imaginary quadratic

Some remarks for codes and lattices over imaginary quadratic Some remarks for codes ad lattices over imagiary quadratic fields Toy Shaska Oaklad Uiversity, Rochester, MI, USA. Caleb Shor Wester New Eglad Uiversity, Sprigfield, MA, USA. shaska@oaklad.edu Abstract

More information

Lecture 3 The Lebesgue Integral

Lecture 3 The Lebesgue Integral Lecture 3: The Lebesgue Itegral 1 of 14 Course: Theory of Probability I Term: Fall 2013 Istructor: Gorda Zitkovic Lecture 3 The Lebesgue Itegral The costructio of the itegral Uless expressly specified

More information

Chapter 3. Strong convergence. 3.1 Definition of almost sure convergence

Chapter 3. Strong convergence. 3.1 Definition of almost sure convergence Chapter 3 Strog covergece As poited out i the Chapter 2, there are multiple ways to defie the otio of covergece of a sequece of radom variables. That chapter defied covergece i probability, covergece i

More information

THE LONELY RUNNER PROBLEM FOR MANY RUNNERS. Artūras Dubickas Vilnius University, Lithuania

THE LONELY RUNNER PROBLEM FOR MANY RUNNERS. Artūras Dubickas Vilnius University, Lithuania GLASNIK MATEMATIČKI Vol. 46(66)(2011), 25 30 THE LONELY RUNNER PROBLEM FOR MANY RUNNERS Artūras Dubickas Vilius Uiversity, Lithuaia Abstract. The loely ruer cojecture asserts that for ay positive iteger

More information

4 The Sperner property.

4 The Sperner property. 4 The Sperer property. I this sectio we cosider a surprisig applicatio of certai adjacecy matrices to some problems i extremal set theory. A importat role will also be played by fiite groups. I geeral,

More information

A Lower Bound on the Density of Sphere Packings via Graph Theory. Michael Krivelevich, Simon Litsyn, and Alexander Vardy.

A Lower Bound on the Density of Sphere Packings via Graph Theory. Michael Krivelevich, Simon Litsyn, and Alexander Vardy. IMRN Iteratioal Mathematics Research Notices 004, No. 43 A Lower Boud o the Desity of Sphere Packigs via Graph Theory Michael Krivelevich, Simo Litsy, ad Alexader Vardy 1 Itroductio A sphere packig P i

More information

Fundamental Theorem of Algebra. Yvonne Lai March 2010

Fundamental Theorem of Algebra. Yvonne Lai March 2010 Fudametal Theorem of Algebra Yvoe Lai March 010 We prove the Fudametal Theorem of Algebra: Fudametal Theorem of Algebra. Let f be a o-costat polyomial with real coefficiets. The f has at least oe complex

More information

Chapter 6 Infinite Series

Chapter 6 Infinite Series Chapter 6 Ifiite Series I the previous chapter we cosidered itegrals which were improper i the sese that the iterval of itegratio was ubouded. I this chapter we are goig to discuss a topic which is somewhat

More information

sin(n) + 2 cos(2n) n 3/2 3 sin(n) 2cos(2n) n 3/2 a n =

sin(n) + 2 cos(2n) n 3/2 3 sin(n) 2cos(2n) n 3/2 a n = 60. Ratio ad root tests 60.1. Absolutely coverget series. Defiitio 13. (Absolute covergece) A series a is called absolutely coverget if the series of absolute values a is coverget. The absolute covergece

More information

if > 6 is sucietly large). Nevertheless, Pichasi has show that the umber of radial poits of a o-colliear set P of poits i the plae that lie i a halfpl

if > 6 is sucietly large). Nevertheless, Pichasi has show that the umber of radial poits of a o-colliear set P of poits i the plae that lie i a halfpl Radial Poits i the Plae Jaos Pach y Micha Sharir z Jauary 6, 00 Abstract A radial poit for a ite set P i the plae is a poit q 6 P with the property that each lie coectig q to a poit of P passes through

More information

Lecture Notes for Analysis Class

Lecture Notes for Analysis Class Lecture Notes for Aalysis Class Topological Spaces A topology for a set X is a collectio T of subsets of X such that: (a) X ad the empty set are i T (b) Uios of elemets of T are i T (c) Fiite itersectios

More information

Ma/CS 6b Class 19: Extremal Graph Theory

Ma/CS 6b Class 19: Extremal Graph Theory /9/05 Ma/CS 6b Class 9: Extremal Graph Theory Paul Turá By Adam Sheffer Extremal Graph Theory The subfield of extremal graph theory deals with questios of the form: What is the maximum umber of edges that

More information

Solution. 1 Solutions of Homework 1. Sangchul Lee. October 27, Problem 1.1

Solution. 1 Solutions of Homework 1. Sangchul Lee. October 27, Problem 1.1 Solutio Sagchul Lee October 7, 017 1 Solutios of Homework 1 Problem 1.1 Let Ω,F,P) be a probability space. Show that if {A : N} F such that A := lim A exists, the PA) = lim PA ). Proof. Usig the cotiuity

More information