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

Size: px
Start display at page:

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

Transcription

1 BLOCK-TRANSITIVE 3-DESIGNS WITH AFFINE AUTOMORPHISM GROUP Greg Gamble Let X = (Z p d where p s an odd prme and d N, and let B X, B = k. Then t was shown by Praeger that the set B = {B g g AGL d (p} s the block-set of a 3-desgn f and only f the number q 1 (k of collnear trples of ponts of B s q 1 (k = k(k 1(k 2(p 2 6(p d. 2 We gve an explct method for determnng all k such that 3 k < p d /2 and q 1 (k s an nteger. For p = 3 the smallest value of d for whch there s such an ntegral value of q 1 (k s d = 7 and the smallest k 3 gvng ntegral values of q 1 (k are k = 115 and k = 116. We construct many examples of 3-desgns (X, B wth k = 115 or 116 admttng AGL 7 (3 as automorphsm group. 1. INTRODUCTION A t-(v, k, λ desgn s a par D = (X, B where X s a set of v ponts and B s a set of k-subsets of X called blocks such that any t ponts are contaned n exactly λ > 0 blocks. If B contans all k-subsets of X then D s sad to be trval. Let G = Aut D = {g Sym(X B g = B}. That s, G s the set of all permutatons of X that fx B setwse. The group G s sad to be block-transtve f B = B G for B B, where B G = {B g g G}. In ths case we say that D s block-transtve. Smlarly, G s pont-transtve f X = x G for some x X, where x G = {x g g G}. By [2], G block-transtve mples that G s pont-transtve and thus that G s a transtve subgroup of Sym(X. Also by [3, Proposton 1.1] (or see [5], f (X, B G s a blocktranstve t-(v, k, λ desgn and G H Sym(X then (X, B H s a block-transtve t-(v, k, λ desgn for some λ λ. Hence n searchng for non-trval block-transtve t-desgns we may start by consderng maxmal subgroups of Sym(X. As noted by [5],

2 2 Greg Gamble the O Nan-Scott theorem mples that f G s a transtve maxmal subgroup of S v then t s of one of the followng types: 1. mprmtve: G = S c wr S d for some c, d N such that v = cd, c > 1, d > 1; 2. affne: G = AGL d (p for some p, d N such that v = p d, p prme, d 1; 3. product: G = S c wr S d for some c, d N such that v = c d, c 5, d > 1; 4. smple dagonal: G = T d.(out T S d for some d N and some group T such that v = T d 1, d > 1 and T s nonabelan and smple; 5. almost smple: T G Aut T for some nonabelan smple group T. We are concerned wth the second of these cases, G = AGL d (p. We say a group G s t-homogeneous on a set X f t s transtve on the set of t-subsets of X. If G s t- homogeneous then for any k and any k-subset B of X, (X, B G s a t-desgn; and, further, f G s k-homogeneous the desgn s trval. The group AGL d (p s 2-transtve and hence 2-homogeneous for all d, p and AGL d (2 s 3-transtve and hence 3-homogeneous for all d 2. Thus we consder the more nterestng problem of the exstence of block-transtve t-desgns admttng G = AGL d (p wth t 3 for p odd, and n partcular we consder the case where t = 3. The followng lemma s essentally Lemma 1.10(c of [4] (or see [3, Proposton 1.3] or see [5]. It s a corollary of Theorem 2.1, a proof of whch was suppled to the author by Praeger [6] and s reproduced wth mnor modfcatons n the next secton LEMMA. (X, B G s a block-transtve t-desgn f and only f (X, (X \ B G s a block-transtve t-desgn. Ths result allows us to restrct our attenton to desgns for whch 3 = t k < p d /2 where k s the block-sze, as f there s no desgn for a k n ths range then there s certanly no desgn for k satsfyng p d /2 k < p d 2 and, of course, for k {p d 2, p d 1, p d }, all blocks B such that B = k gve rse to trval desgns. For p an odd prme, d 2 and G = AGL d (p Praeger [5, Lemma 2.1] has shown that (X, B G s a block-transtve 3-desgn f and only f the number of collnear trples n the block B s k(k 1(k 2(p 2 q 1 (k = 6(p d, 2 where k = B. We prove ths result n Secton 2. In Secton 2 we prove a number of lemmas whch are needed to prove Theorem 3.1, from whch the followng theorem s a corollary. The theorem shows how to construct the set Ω of all k such that q 1 (k N and 3 k < p d / THEOREM. Let 2 p prme, d 2, q 1 (k = (p d 2, p 2. Let N = pd 2 D k(k 1(k 2(p 2 6(p d 2 and D = = n pε, where p are dstnct prmes, n, ε N and { D f 3D / p d 2, D/3 f 3D p d 2. D =

3 Greg Gamble 3 Suppose u = N p ε Let Ω = { k q 1 (k N and 3 k p d /2 }. Then and t Z satsfy n u t = 1. ( Each element k of Ω has the form k = ( n α u t mod N + ln, where α {0, 1, 2} for 1 n and 0 l < D /2. ( Ω = D.3 n 3. 2 The t of the theorem may be calculated by Algorthm 3.2. An mmedate consequence of ths theorem s an observaton of Praeger [5, p. 196], namely that there are no nontrval block-transtve 3-desgns admttng G = AGL d (3 for d {2,..., 6}, as for each of these values of d the number n of dstnct prme dvsors of N s 1, so that the set Ω s empty. However for d = 7 we fnd Ω s not empty. Praeger [5, p. 196] posed the queston: Is there a block-transtve 3-(3 7, k, λ desgn of ths type? In Secton 4 we show, for at least two values of k that ndeed there are such desgns. 2. PRELIMINARY RESULTS The followng theorem s ncluded manly because the author feels t may eventually lead to new results of non-exstence of t-desgns. It s a self-contaned verson of Corollary 1.4(a and Lemma 1.10(c of Hughes and Pper [4] THEOREM. [6] If D = (X, B s a t-(v, k, λ desgn then ( D = (X, B s a t -(v, k, λ t desgn for all t such that 0 t t where λ t = ( k t ( v t B ; (that s, f 0 t t, C X, C = t then λ t := {B B C B} = ( k t ( v t B s ndependent of the choce of C {C X C = t }; ( f 0 t, D C X, D =, C = t then µ := {B B D = C B} s ndependent of C and the subset D of C, and µ t = λ t = λ t µ = λ j=1+ ( t µ j for 0 < t; j ( D = (X, B s a t-(v, k, µ 0 desgn where B = {B = (X \ B B B}.

4 4 Greg Gamble PROOF. ( λ t = λ s ndependent of C as D s a t-desgn. Suppose 0 < t and λ +1 s ndependent of C {C X C = + 1}. Let C {C X C = }, λ (C := {B B C B} then countng two ways {(x, B {x} C B, x C, B B} = λ (C.(k = (v.λ +1. That s, λ = λ (C = v k λ +1 s ndependent of C {C X C = }. Thus, by nducton, λ s ndependent of C {C X C = } for all such that 0 t. Also λ 0 = {B B B} = B, λ+1 = k v λ. Thus, by nducton, 1 ( k λ = k j λ 0 = ( v j v B, for 0 t. j=0 ( We wrte for dsjont unon. Let 0 t, D C X, D =, C = t, then If = t then D = t and λ = {B B D B} = {B B D C and D B} = {B B D C B}. D C B D = C B. That s, µ t = λ t s ndependent of C and for each choce of C, D = C s unque. Suppose now that 0 < t and that µ j s ndependent of C and the subset D {D C D = j}, for < j t. Let D C, D =, µ (C, D := {B B D = C B}. Then µ (C, D = {B B D C B and C B = } = {B B D C B} \ {B B D C B and C B > } = λ {B B D C B and C B > } t = λ {B B D C B and C B = j} = λ = λ = λ j=+1 t j=+1 t j=+1 t j=+1 {B B D C B and C B = j} E C\D E =j ( t j {B B D E = C B} µ j

5 Greg Gamble 5 s ndependent of C and the choce of D {D C D = }. Thus, by nducton, µ : = {B B D = C B} t ( t = λ µ j for 0 t j j=+1 s ndependent of C {C X C = t} and the choce of D {D C C = }. ( µ 0 = {B B B C = } = {B B C B = (X \ B} = {B B C B } s ndependent of C {C X C = t}. That s, D = (X, B s a t-(v, k, µ 0 desgn. The followng theorem (noted n [5] or see [4, pp ] or [1] allows us to reduce the problem of exstence of desgns to a farly elementary number theory problem THEOREM. If B s a k-subset of X, G Sym(X, Q 1,..., Q m are the G-orbts on t-sets of X, q = Q B for 1 m then (X, B G s a t-desgn q 1 Q 1 = = q m Q m m q j Q j = q m Q for 1 j m. The group G = AGL d (p has 2 orbts on the 3-sets of X = (Z p d namely Q 1 := collnear trples, Q 2 := non-collnear trples, where we say {u, v, w} s a collnear trple f and only f u, v, w are dstnct and w = u + α(v u for some α Z p. Equvalently {u, v, w} s a collnear trple f and only f v u and w = u + α(v u for some α Z p \ {0, 1}. Thus we see that Q 1 = pd.(p d 1.(p 2 3! as for ordered trples (u, v, w there are p d choces for u, leavng p d 1 choces for v and then p 2 choces for α (and hence w. So by Theorem 2.2 q 1 Q 1 = q ( k 1 + q 2 #trples n B = 3 Q 1 + Q 2 #trples n X = ( p d. 3

6 6 Greg Gamble Hence we arrve at the concluson of [5, Lemma 2.1], q 1 = ( k 3 ( p d 3 pd.(p d 1.(p 2 3! = k(k 1(k 2(p 2 6.(p d. 2 Of course, q 1 s an nteger. The followng lemma gves a smpler equvalent condton for the ntegralty of q 1, n terms of an nteger N whch s easy to calculate LEMMA. Let 2 p prme, q 1 = D = (p 2, p d 2. Then k(k 1(k 2(p 2 6.(p d, where d, k N, and let 2 q 1 Z k(k 1(k 2 N Z { where N = pd 2 D f 3D / p D and D d 2, = D/3 f 3D p d 2. PROOF. Frstly, q 1 = k(k 1(k 2(p 2 6(p d 2 = k(k 1(k 2a, 6b where a = (p 2/D, b = (p d 2/D. So q 1 Z f and only f 6b k(k 1(k 2a. Of course, for any k N, 6 k(k 1(k 2. Observe that 2 p prme mples that 2 / (p d 2 and hence 2 / b. Also (a, b = 1. Now we consder two cases. Case 1. Assume 3 / b (or equvalently 3D / p d 2. In ths case we defne D = D, so that N = (p d 2/D = b. Thus q 1 Z f and only f N = b k(k 1(k 2. Case 2. Assume 3 b (or equvalently 3D p d 2. In ths case we defne D = D/3, so that N = (p d 2/D = 3b. As (a, b = 1, and by assumpton 3 b, we have 3 / a. Thus q 1 Z f and only f N = 3b k(k 1(k 2. So we have that, q 1 Z f and only f k(k 1(k 2/N Z. Note that f 3 p d 2 then 3 p 2 (as suppose 3 / p 2, then p ε 2 (mod 3 for some ε {0, 1}, and hence p d ε 2 (mod 3, so that 3 / p d 2. Thus we see that n Lemma 2.3, D s always an nteger (as f 3 b then 3 p d 2 and hence 3 p 2, so that 3 D and D = D/3 Z; and consequently N s at most p d 2. From the followng lemma we have nformaton as to how to construct ntegers k satsfyng the ntegralty condton gven n Lemma 2.3. We show n Algorthm 3.2 how to construct the t of 2.4 ( LEMMA. Let k Z, N = n Then the followng are equvalent. pε, where 2 p are dstnct prmes and n, ε N.

7 Greg Gamble 7 ( k(k 1(k 2 N Z, ( k α (mod p ε for some α {0, 1, 2} : 1 n, ( k n α u t (mod N for some α {0, 1, 2} where u = N p ε n u t = 1. and t Z satsfy PROOF. Any prme dvsor p of N dvdes at most one of k, k 1, k 2, as p 3. k(k 1(k 2 So, for each such that 1 n, f Z then p ε dvdes exactly one of N k, k 1, k 2, and thus k 0, 1 or 2 (mod p ε. Hence ( mples (. ( mples ( s trval. For n = 1, the equvalence of ( and ( s trval, as then u 1 = t 1 = 1. For n 2, the equvalence of ( and (, follows by applcaton of the Chnese Remander Theorem. In the followng lemma we show the unqueness of the expresson gven n Lemma 2.4 ( LEMMA. Let N = n pε, where 2 p are dstnct prmes and n, ε N, and let u = N p ε, t Z satsfy n u t = 1, and α, β {0, 1, 2}. Then n α u t n β u t (mod N α = β : 1 n. PROOF. As n u t = 1 and p ε j j u f j, we have u j t j n u t 1 (mod p ε j j for 1 j n. Now suppose n α u t n β u t (mod N. Then α j α j u j t j n α u t n β u t β j u j t j β j (mod p ε j j j : 1 j n. But α j, β j {0, 1, 2} and p ε j j converse s trval. 3 for 1 j n. Hence α j = β j for 1 j n. The We are now n a poston to prove Theorem 3.1 whch along wth Algorthm 3.2 shows how to explctly construct (and count all k such that q 1 (k s a postve nteger and 3 k < p d /2.

8 8 Greg Gamble 3. INTEGRALITY CONDITIONS The followng theorem shows how to construct the set Ω of all k such that q 1 (k Z and 0 k p d. We show that each k has a unque expresson of a gven form and that they occur n pars (k, k where k = p d k. Ths s not surprsng as, of course, f a block-transtve 3-(p d, k, λ desgn for some λ and admttng AGL d (p exsts then, by Theorem 1.1, ts complementary desgn s a 3-(p d, k, λ desgn for some λ. Below f r r (mod N where 0 r < N then we take (r mod N + s to mean r + s. k(k 1(k 2(p THEOREM. Let 2 p prme, d 2, q 1 (k = 6(p d and D = 2 (p d 2, p 2. Let Ω = { k q 1 (k Z and 0 k p d} and Ω = { k Ω 3 k p d /2 }. Let N = pd 2 D = n pε, where p are dstnct prmes, n, ε N and Suppose u = N p ε D = { D f 3D / p d 2, D/3 f 3D p d 2. and t Z satsfy n u t = 1. Then ( Each element k of Ω s unquely dentfed by an (n + 1-tuple (α 1,..., α n, l, where k = ( n α u t mod N + ln, α {0, 1, 2} for 1 n, 0 l D and, f l = D then the α are all equal. Also, f k Ω corresponds to (α 1,..., α n, l then k = p d k Ω and corresponds to ( Ω = D.3 n 3. 2 PROOF. ( q 1 Z { (2 α1,..., 2 α n, D (l + 1 f α not all equal, (2 α 1,..., 2 α n, D l f α all equal. k(k 1(k 2 N Z (by Lemma 2.3 k n α u t (mod N for some α {0, 1, 2}, 1 n (by Lemma 2.4 ( k = ( n α u t mod N + ln for some α {0, 1, 2}, 1 n, and l Z. Now suppose α {0, 1, 2} for 1 n. Note that f the α are all equal then ( n n α u t = α 1 u t = α 1.

9 Greg Gamble 9 Hence by Lemma 2.5, 0 ( n α u t mod N 2 f and only f the α are all equal. Thus ( n p d 2 = ND α u t mod N + ln ND + 2 = p d α are all equal and l = D. Consequently ( n 0 α u t mod N + ln p d { 0 l < D f α not all equal, 0 l D f α all equal. Thus, each element k of Ω s dentfed by an (n + 1-tuple, (α 1,..., α n, l, where k = ( n α u t mod N + ln, α {0, 1, 2} for 1 n, 0 l D and, f l = D then the α are all equal. Now we show that each k Ω s unquely dentfed by an (n + 1-tuple of ths form. Suppose that k Ω corresponds to both (α 1,..., α n, l 1 and (β 1,..., β n, l 2 then so that ( n ( n α u t mod N + l 1 N = β u t mod N + l 2 N, ( n ( n α u t mod N β u t mod N = (l 2 l 1 N. ( Consderng the left-hand sde of (, we have N < (l 2 l 1 N < N. Hence l 2 l 1 = 0. That s l 1 = l 2. Havng shown that the rght-hand sde of ( s zero. We have ( n α u t mod N = ( n β u t mod N, so that by Lemma 2.5, we have α = β for 1 n. Hence each element k of Ω s unquely dentfed by an (n + 1-tuple (α 1,..., α n, l. Suppose now k = ( n α u t mod N + ln Ω, so that α {0, 1, 2} for 1 n. Observe that the α not all equal mples that 2 < ( n α u t mod N < N, or equvalently that 2 < 2 + N ( n α u t mod N < N. Thus f the α are not all equal then ( n ( ( n 2 + N α u t mod N = 2 + N α u t mod N mod N = ( 2 + N ( n α u t mod N = 2 ( n = (2 α u t mod N. n u t + N n α u t mod N

10 10 Greg Gamble Hence ( n k = p d k = 2 + (p d 2 k = 2 + D N α u t mod N ln ( n 2 + N α = u t mod N + N ( D (l + 1 f α not all equal, (2 α 1 + N(D l f α all equal; ( n (2 α u t mod N + N ( D (l + 1 f α not all equal, = ( n (2 α u t mod N + N(D l f α all equal. So k corresponds to the (n + 1-tuple { (2 α1,..., 2 α n, D (l + 1 f α not all equal, (2 α 1,..., 2 α n, D l f α all equal. Moreover, as each α {0, 1, 2}, we have (2 α {0, 1, 2} for 1 n. When the α are not all equal, we have 0 l < D and hence 1 < D l 1 D 1, so that 0 D (l + 1 < D. On the other hand, when the α are all equal, we have 0 l D and hence 0 D l D. Thus k Ω. ( Ω = D.3 n + 3. By ( elements of Ω come n pars (k, k one of whch s less than p d /2 and the other greater than p d /2. Thus {k Ω k < p d /2} D.3 n + 3 = and hence 2 {k Ω 3 k < p d /2} = D.3 n = D.3 n The followng algorthm based on the Eucldean Algorthm shows how the t of Theorem 3.1 may be constructed for n 2. For n = 1, as noted n the proof of Lemma 2.4 (, we have u 1 = t 1 = 1 and n fact Theorem 3.1 ( shows that Ω s empty. The case n = 0 does not occur as the condton d 2 of Theorem 3.1 ensures that N > ALGORITHM. If N = n pε, p prme, ε > 0, n 2 then t Z satsfyng n u t = 1 where u = N/p ε are found as follows. Step 0. Defne u (m := m j=1 pε j j p ε Recursvely we construct t (m for 1 m n. such that m u(m Step 1. Defne u (2 1 := p ε 2 2, u(2 2 := p ε 1 1. By the Eucldean Algorthm fnd t (2 1, t(2 2 Z such that u (2 1 t(2 1 +u(2 2 t(2 2 = 1. Step m < n. From the prevous step we have t (m such that m t (m = 1. By the Eucldean Algorthm fnd x, y such that p ε m+1 { m+1 defne t (m+1 := t (m.x for 1 m y for = m + 1. t (m = 1. u(m.x + u(m+1 m+1.y = 1, and then

11 Greg Gamble 11 Step n. After n 1 steps we take u := u (n and t := t (n. PROOF. At step 1 we have 2 u(2 t (2 have m Steps 1 through n 1 are valdated by nducton. = 1. By the nductve assumpton from step m 1 we t (m = 1. Observe u (m.p ε m+1 m+1 = u(m+1 for 1 m, so for the mth step u(m we have ( m 1 = u (m t (m ( m p ε m+1 m+1.x + u(m+1.y = (u (m m+1 (t(m.p ε m+1 ( m m+1 = (u (m+1 t (m+1 + u (m+1 m+1.y = u (m+1 t (m+1 as requred..x + u (m+1 m+1.y 3.3. REMARK. As noted above, Theorem 3.1 ( shows that for n = 1 (that s, for N = p ε 1 1 for some prme p 1 and ε 1 > 0 the set Ω s empty. As observed by Praeger [5, p. 196] ths stuaton occurs f, for example, p d 2 = p ε 1 for some prme p 1 and ε > 0 (as then d 2 ensures that p d 2 p 2 and thus that 1 N = p ε 1 1 for some ε 1 > 0. In partcular Praeger observed that for p = 3 and d {2,..., 6} that p d 2 s a prme or the square of a prme, and thus that Ω =, and so no non-trval block-transtve 3-desgns exst for these values of p and d. However for p = 3 and d = 7 we have p d 2 = = = N (as p 2 = 1; so that n = 3 and Ω contans (3 3 3/2 = 12 elements. Employng Algorthm 3.2 we fnd that t 1 = 33, t 2 = 132, t 3 = 8 where p 1 = 5, p 2 = 19, p 3 = 23 so that u 1 = 19.23, u 2 = 5.23, u 3 = Thus we have for ths case Ω = { k = (α 1.33( α ( α 3.8(5.19 mod α {0, 1, 2}, and 3 k < 3 7 /2 } = {115, 116, 230, 437, 552, 646, 667, 760, 761, 875, 876, 990}. In the next secton we show that block-transtve 3-(3 7, k, λ desgns do exst for k = 115 and for k = 116, thus answerng the queston posed by Praeger [5, p. 196] affrmatvely. In the followng example we construct the t mentoned above EXAMPLE. We now apply Algorthm 3.2 to N = Let p 1 = 5, p 2 = 19, p 3 = 23. Then at step 1 we have, u (2 1 = p 2 = 19, u (2 2 = p 1 = 5 and by the Eucldean Algorthm = 1. Hence, t (2 1 = 1, t (2 2 = 4. At the second and last step we fnd x, y such that p 3 x+u (3 3 y = 1 where p 3 = 23 and u (3 3 = p 1 p 2 = 95. By the Eucldean Algorthm = 1

12 12 Greg Gamble and so x = 33, y = 8. Hence fnally 1 = 33( (5.19 = 33( ( (5.19. That s, t 1 = 33, u 1 = 19.23, t 2 = 132, u 2 = 5.23, t 3 = 8, u 3 = CONSTRUCTIONS In ths secton we show how to construct a block B of a block-transtve 3-(3 7, k, λ desgn admttng G = AGL 7 (3. We do ths by frst constructng a large set W wth no collnear trples. Then smply by addng 4 ponts to W we create a set Y wth a large number of collnear trples. It turns out that we have a lot of control over modfyng the set Y to get a block B of a block-transtve 3-(3 7, k, λ desgn for k = 115 or 116. Frst we ntroduce some notaton that wll be useful n descrbng these blocks B NOTATION. Let S (Z p d then denote by T S the set of collnear trples of S, that s T S = { {u, v, w} (u, v, w S 3 and {u, v, w} s a collnear trple }. In partcular, f p = 3 then T S = { {u, v, w} w = u 1.(v u, u v, (u, v, w S 3} = { {u, v, w} u + v + w = 0, u v, (u, v, w S 3}. Denote by T S (u, the subset of T S consstng of collnear trples that contan u, that s T S (u = { {u, v, w } T S u {u, v, w } }. Let e be the th standard bass vector of (Z p d, that s the vector wth th coordnate 1 and all other coordnates 0. Let W be the subset of (Z 3 7 consstng of vectors wth no coordnate zero, that s { 7 } W = ε e ε 0. Where t s mportant to stress that a unon of sets s a dsjont unon the symbol wll be used n place of. Below we wll see there are a varety of ways to construct a block B of a 3-desgn by modfyng the set W gven above. The queston s: how do we tell whether two dfferent blocks B and B belong to non-somorphc desgns? The followng lemma wll assst us n fndng a partal answer to ths queston.

13 Greg Gamble LEMMA. B G B G (X, B G = (X, B G. PROOF. Let D = (X, B for {1, 2} be block-transtve t-desgns admttng AGL d (p. Then G = AGL d (p = Aut D = {g Sym(X B g = B }. Suppose now D 1 = D2. Then D φ 1 = D 2 for some φ Sym(X, that s, B φ 1 = B 2, and thus G φ = (Aut D 1 φ = Aut D 2 = G. So that φ N Sym(X (AGL d (p = AGL d (p = Aut D 1. So n fact B φ 1 = B 1. That s B 1 = B 2. Thus for any two t-desgns (X, B 1 and (X, B 2 ether B 1 B 2 = or B 1 = B 2. The author s grateful to Praeger for the above proof. Now for k large, checkng whether B B G (and hence B G = B G may be dffcult. Thus below we defne a way of dvdng up a block B nto classes C j (B of ponts. The numbers of ponts n each class of B provdes a sgnature J B for a desgn (X, B G. We shall see that all blocks of (X, B G have the same number of ponts n each class; and moreover so do all blocks of a desgn somorphc to (X, B G. Ths suggests a way of coarsely parttonng the set of all desgns nto dvsons contanng desgns of the same sgnature. A lower bound on the number of dvsons then provdes a lower bound for the number of parwse non-somorphc desgns. Ths motvates the followng defntons DEFINITION. Denote by C j (S, the class of ponts u n S, that are contaned n j dstnct collnear trples of S. That s, for j 0, defne C j (S = {u S T S (u = j}. Also let J S consst of those ordered pars (j, C j (S for whch C j (S s a non-empty subset of S. That s, J S = {(j, C j (S = C j (S S}. The mportance of J S s that s nvarant, under the acton of G = AGL d (p. That s, J S g = J S, for g G. Ths s because {u, v, w} s a collnear trple of S f and only f {u g, v g, w g } s a collnear trple of S g = {x g x S}. The njectvty of g: S S g ensures that u s contaned by j collnear trples of S f and only f u g s contaned by j collnear trples of S g, and also that (j, C j (S J S f and only f (j, C j (S g J S g. Thus desgns (X, B G and (X, B G wth dfferent sets J B and J B are necessarly non-somorphc. The followng lemma shows us that the set W can have no collnear trples LEMMA. Let a, b, c Z 3 \ {0}. Then a + b + c = 0 a = b = c. PROOF. Suppose wthout loss of generalty that a + b + c = 0 and a b then a + b = 0 and so c = 0 (contradcton COROLLARY. T W =.

14 14 Greg Gamble PROOF. Suppose {u, v, w} s a collnear trple of W, then consderng the th component of each pont we have u + v + w = 0 and thus by Lemma 4.4 we have u = v = w. But then u = v = w, contradctng that {u, v, w} s a collnear trple. Thus T W s empty. Now we modfy W to produce constructons of blocks for desgns for k = 115 and k = CONSTRUCTION. We may construct a block B, wth B = k = 115 such that for G = AGL 7 (3 and X = (Z 3 7, (X, B G s a block-transtve 3-desgn. Let Y = W {e 1, e 2, e 3, e 4 } then ( Nether W nor {e 1, e 2, e 3, e 4 } has collnear trples. That s, both the sets T W and T {e1,e 2,e 3,e 4 } are empty. Ths follows mmedately from Lemma 4.4. ( For each collnear trple of W {e }, the th coordnate of each pont s 1 (follows from Lemma 4.4, and u j = v j for j. That s, T W {e } = {e, 7 ε j e j, 2e j=1 7 ε j e j } ε j 0, ε = 1. Thus T W {e } = 2 6 /2 = 32, or puttng t another way C 32 (Y = {e 1, e 2, e 3, e 4 }. Observe that for any pont u of Y, other than e 1, e 2, e 3, e 4, that the number of collnear trples of T Y contanng u s determned by how many of the frst four coordnates are 1. Thus Y contans another fve classes, namely j=1 7 C j = ε e j elements of {ε 1, ε 2, ε 3, ε 4 } are +1,, 4 j elements of {ε 1, ε 2, ε 3, ε 4 } are 1, ε 0 for 5 7 for 0 j 4. So Y conssts of sx classes. Notce that any collnear trple of S conssts of one element from C j (S, one from C 32 (S and one from C 5 j (S for some j satsfyng 1 j 4. Also we have C 0 = C 4 = 8, C 1 = C 3 = 32, C 2 = 48, and thus J Y = {(0, 8, (1, 32, (2, 48, (3, 32, (4, 8, (32, 4}. ( The collnear trples of Y s a unon of the four dsjont sets, T W {e }, for 1 4. That s, T Y = 4 T W {e } and T Y = 4.32 = 128. (v Y = W + 4 = = 132. The dea now s to modfy the set Y to get a block B of a 3-desgn. To get a block B wth B = k = 115 we need T B = q 1 (k = 113. Such a block B can be obtaned from the set Y (whch has Y = 132 ponts and T Y = 128 collnear trples by deletng 17 ponts from Y n such a way as to reduce the number of collnear trples by 15. Ths can be done, for example, f we fnd a soluton of 4 n j = 17, j=0 4 j.n j = 15 ( j=0

15 Greg Gamble 15 where n j s the number of ponts n class C j (Y to be deleted (assumng that no two ponts of the 17 ponts are elements of a common collnear trple ths turns out to be easly arranged. Each lne of the followng table s a soluton of ( subject to 0 n j C j (Y. n 0 n 1 n 2 n 3 n n 0 n 1 n 2 n 3 n n 0 n 1 n 2 n 3 n Each of these 23 possbltes lead to desgn constructons. Consder, for example n 0 = 8, n 1 = 7, n 2 = n 3 = 0, n 4 = 2. Each pont n C 4 (Y les n 4 collnear trples of Y the other two ponts of each collnear trple beng a pont of C 32 (Y = {e 1, e 2, e 3, e 4 } together wth a pont from C 1 (Y. Thus after selectng 2 ponts x, y from C 4 (Y we avod 8 of the 32 ponts of C 1 (Y, namely those w that satsfy u + v + w = 0 where u {x, y} and v {e 1, e 2, e 3, e 4 }. Ths gves ( ( ( ways of obtanng a block B wth the desred characterstcs usng ths soluton of (. Of course, the 8 ponts of C 1 (Y that were avoded above no longer belong to a collnear trple of the set Y \ {x, y} so one can delete any of these 8 ponts nstead of the ponts of C 0 (Y to obtan the block B. That s C 0 (Y \ {x, y} = 16 and so the above number of ways can be multpled by a factor of ( Now we consder the queston as to how many of the desgns constructed n ths fashon are parwse non-somorphc. Certanly, (X, B G and (X, B G are non-somorphc f J B J B. For example blocks B and B, defned below are generated n the manner mentoned above, from the frst lne of the table. B = Y \ {(1, 1, 1, 1, 1, 1, 1, (1, 1, 1, 1, 1, 1, 1, (1, 1, 1, 1, 1, 1, 1, ( 1, 1, 1, 1, 1, 1, 1, ( 1, 1, 1, 1, 1, 1, 1, ( 1, 1, 1, 1, 1, 1, 1, (1, 1, 1, 1, 1, 1, 1, ( 1, 1, 1, 1, 1, 1, 1, ( 1, 1, 1, 1, 1, 1, 1, ( 1, 1, 1, 1, ε 5, ε 6, ε 7 ε 0 for 5 7}, B = (B {( 1, 1, 1, 1, 1, 1, 1} \ {( 1, 1, 1, 1, 1, 1, 1}. They dffer n that the nnth pont deleted from Y (a pont of C 1 (Y s the pont ( 1, 1, 1, 1, 1, 1, 1 for B, and ( 1, 1, 1, 1, 1, 1, 1 for B. Checkng we fnd that J B = {(0, 9, (1, 18, (2, 48, (3, 32, (4, 4, (28, 3, (29, 1}, J B = {(0, 9, (1, 17, (2, 49, (3, 33, (4, 3, (28, 3, (29, 1}.

16 16 Greg Gamble So, n fact (X, B G and (X, B G are non-somorphc. In ths way, each lne of the table may gve rse to several parwse non-somorphc desgns. Note that as ponts are deleted from Y the pont classes change (for example, suppose x C j (Y then j ponts of C 5 j (Y move nto C 5 j 1 (Y \ {x}, and all other ponts of Y \ {x} reman n ther prevous class. An example of ths was gven above. Wth ths n mnd we may relax the restrcton n j C j (Y. Ths opens up a further 21 possbltes for (n 0,..., n 4 all of whch are feasble. Consderng, these possbltes as well as those already mentoned a prelmnary computer nvestgaton turned up 37 somorphcally dstnct block-transtve 3-(3 7, 115, λ desgns CONSTRUCTION. In a smlar way to the prevous constructon we may construct a block B, wth B = k = 116 such that for G = AGL 7 (3 and X = (Z 3 7, (X, B G s a block-transtve 3-desgn. Ths tme we need T B = q 1 (k = 116. Thus from the set Y (whch has Y = 132 ponts and T Y = 128 collnear trples we must delete 12 ponts n such a way as to reduce the number of collnear trples by 16. Ths can be done, for example, f we fnd a soluton of 4 n j = 16, j=0 4 j.n j = 12. ( j=0 Each lne of the followng table s a soluton of ( subject to 0 n j C j. n 0 n 1 n 2 n 3 n n 0 n 1 n 2 n 3 n n 0 n 1 n 2 n 3 n From these 11 possbltes take n 0 = 8, n 1 = 6, n 2 = 1, n 3 = 0, n 4 = 1. One soluton generated from ths soluton of ( s the followng. B = Y \ {(1, 1, 1, 1, 1, 1, 1, (1, 1, 1, 1, 1, 1, 1, (1, 1, 1, 1, 1, 1, 1, ( 1, 1, 1, 1, 1, 1, 1, ( 1, 1, 1, 1, 1, 1, 1, ( 1, 1, 1, 1, 1, 1, 1, (1, 1, 1, 1, 1, 1, 1, ( 1, 1, 1, 1, 1, 1, 1, ( 1, 1, 1, 1, ε 5, ε 6, ε 7 ε 0 for 5 7}. Relaxng the restrcton that n j C j (Y yelds 21 more possbltes for (n 0,..., n 4. However, 4 of these appear to be nfeasble. A prelmnary computer nvestgaton found the number of parwse non-somorphc block-transtve 3-(3 7, 116, λ desgns to be at least 34. The usefulness of our set W fnshes wth these two constructons. It was not at all obvous how to generalse the above deas. Thus we fnsh wth the followng questons.

17 Greg Gamble QUESTION. What constructons are possble for blocks B for whch (X, B G s a 3- desgn admttng AGL 7 (3 and B = k {230, 437, 552, 646, 667, 760, 761, 875, 876, 990}? 4.9. QUESTION. Can the above technques be appled n the constructon of 3-desgns for other values of (p, d, k? REFERENCES [1] ALLTOP, W. O. : Some 3-desgns and a 4-desgn. J. Algebra (2 11 (1971, [2] BLOCK, R. E. : On the orbts of collneaton groups. Math. Zet 96 (1967, [3] CAMERON, P. J. and PRAEGER, C. E. : Block-transtve t desgns. I: pont-mprmtve desgns. Dscrete Math. 118 (1993, [4] HUGHES, D. R. and PIPER, F. C. : Desgn Theory (Cambrdge Unversty Press, 1985 [5] PRAEGER, C. E. : Block-transtve desgns and maxmal subgroups of fnte symmetrc groups. Australas. J. Combnatorcs 1 (1990, [6] PRAEGER, C. E. : prvate communcaton (1990 Greg Gamble Department of Mathematcs Unversty of Western Australa Nedlands WA 6009 Australa

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

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

More information

Graph Reconstruction by Permutations

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

More information

a b a In case b 0, a being divisible by b is the same as to say that

a b a In case b 0, a being divisible by b is the same as to say that Secton 6.2 Dvsblty among the ntegers An nteger a ε s dvsble by b ε f there s an nteger c ε such that a = bc. Note that s dvsble by any nteger b, snce = b. On the other hand, a s dvsble by only f a = :

More information

Difference Equations

Difference Equations Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1

More information

Foundations of Arithmetic

Foundations of Arithmetic Foundatons of Arthmetc Notaton We shall denote the sum and product of numbers n the usual notaton as a 2 + a 2 + a 3 + + a = a, a 1 a 2 a 3 a = a The notaton a b means a dvdes b,.e. ac = b where c s an

More information

Affine transformations and convexity

Affine transformations and convexity Affne transformatons and convexty The purpose of ths document s to prove some basc propertes of affne transformatons nvolvng convex sets. Here are a few onlne references for background nformaton: http://math.ucr.edu/

More information

FINITELY-GENERATED MODULES OVER A PRINCIPAL IDEAL DOMAIN

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

More information

Math 261 Exercise sheet 2

Math 261 Exercise sheet 2 Math 261 Exercse sheet 2 http://staff.aub.edu.lb/~nm116/teachng/2017/math261/ndex.html Verson: September 25, 2017 Answers are due for Monday 25 September, 11AM. The use of calculators s allowed. Exercse

More information

2.3 Nilpotent endomorphisms

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

More information

Example: (13320, 22140) =? Solution #1: The divisors of are 1, 2, 3, 4, 5, 6, 9, 10, 12, 15, 18, 20, 27, 30, 36, 41,

Example: (13320, 22140) =? Solution #1: The divisors of are 1, 2, 3, 4, 5, 6, 9, 10, 12, 15, 18, 20, 27, 30, 36, 41, The greatest common dvsor of two ntegers a and b (not both zero) s the largest nteger whch s a common factor of both a and b. We denote ths number by gcd(a, b), or smply (a, b) when there s no confuson

More information

Caps and Colouring Steiner Triple Systems

Caps and Colouring Steiner Triple Systems Desgns, Codes and Cryptography, 13, 51 55 (1998) c 1998 Kluwer Academc Publshers, Boston. Manufactured n The Netherlands. Caps and Colourng Stener Trple Systems AIDEN BRUEN* Department of Mathematcs, Unversty

More information

Week 2. This week, we covered operations on sets and cardinality.

Week 2. This week, we covered operations on sets and cardinality. Week 2 Ths week, we covered operatons on sets and cardnalty. Defnton 0.1 (Correspondence). A correspondence between two sets A and B s a set S contaned n A B = {(a, b) a A, b B}. A correspondence from

More information

Smarandache-Zero Divisors in Group Rings

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

More information

Maximizing the number of nonnegative subsets

Maximizing the number of nonnegative subsets Maxmzng the number of nonnegatve subsets Noga Alon Hao Huang December 1, 213 Abstract Gven a set of n real numbers, f the sum of elements of every subset of sze larger than k s negatve, what s the maxmum

More information

28 Finitely Generated Abelian Groups

28 Finitely Generated Abelian Groups 8 Fntely Generated Abelan Groups In ths last paragraph of Chapter, we determne the structure of fntely generated abelan groups A complete classfcaton of such groups s gven Complete classfcaton theorems

More information

FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP

FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP C O L L O Q U I U M M A T H E M A T I C U M VOL. 80 1999 NO. 1 FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP BY FLORIAN K A I N R A T H (GRAZ) Abstract. Let H be a Krull monod wth nfnte class

More information

Self-complementing permutations of k-uniform hypergraphs

Self-complementing permutations of k-uniform hypergraphs Dscrete Mathematcs Theoretcal Computer Scence DMTCS vol. 11:1, 2009, 117 124 Self-complementng permutatons of k-unform hypergraphs Artur Szymańsk A. Paweł Wojda Faculty of Appled Mathematcs, AGH Unversty

More information

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal

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

More information

Volume 18 Figure 1. Notation 1. Notation 2. Observation 1. Remark 1. Remark 2. Remark 3. Remark 4. Remark 5. Remark 6. Theorem A [2]. Theorem B [2].

Volume 18 Figure 1. Notation 1. Notation 2. Observation 1. Remark 1. Remark 2. Remark 3. Remark 4. Remark 5. Remark 6. Theorem A [2]. Theorem B [2]. Bulletn of Mathematcal Scences and Applcatons Submtted: 016-04-07 ISSN: 78-9634, Vol. 18, pp 1-10 Revsed: 016-09-08 do:10.1805/www.scpress.com/bmsa.18.1 Accepted: 016-10-13 017 ScPress Ltd., Swtzerland

More information

20. Mon, Oct. 13 What we have done so far corresponds roughly to Chapters 2 & 3 of Lee. Now we turn to Chapter 4. The first idea is connectedness.

20. Mon, Oct. 13 What we have done so far corresponds roughly to Chapters 2 & 3 of Lee. Now we turn to Chapter 4. The first idea is connectedness. 20. Mon, Oct. 13 What we have done so far corresponds roughly to Chapters 2 & 3 of Lee. Now we turn to Chapter 4. The frst dea s connectedness. Essentally, we want to say that a space cannot be decomposed

More information

Problem Set 9 Solutions

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

More information

APPENDIX A Some Linear Algebra

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

More information

First day August 1, Problems and Solutions

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

More information

arxiv: v1 [math.co] 1 Mar 2014

arxiv: v1 [math.co] 1 Mar 2014 Unon-ntersectng set systems Gyula O.H. Katona and Dánel T. Nagy March 4, 014 arxv:1403.0088v1 [math.co] 1 Mar 014 Abstract Three ntersecton theorems are proved. Frst, we determne the sze of the largest

More information

HMMT February 2016 February 20, 2016

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

More information

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

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

More information

5 The Rational Canonical Form

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

More information

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

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

More information

MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS

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

More information

Linear, affine, and convex sets and hulls In the sequel, unless otherwise specified, X will denote a real vector space.

Linear, affine, and convex sets and hulls In the sequel, unless otherwise specified, X will denote a real vector space. Lnear, affne, and convex sets and hulls In the sequel, unless otherwse specfed, X wll denote a real vector space. Lnes and segments. Gven two ponts x, y X, we defne xy = {x + t(y x) : t R} = {(1 t)x +

More information

International Mathematical Olympiad. Preliminary Selection Contest 2012 Hong Kong. Outline of Solutions

International Mathematical Olympiad. Preliminary Selection Contest 2012 Hong Kong. Outline of Solutions Internatonal Mathematcal Olympad Prelmnary Selecton ontest Hong Kong Outlne of Solutons nswers: 7 4 7 4 6 5 9 6 99 7 6 6 9 5544 49 5 7 4 6765 5 6 6 7 6 944 9 Solutons: Snce n s a two-dgt number, we have

More information

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

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

More information

SL n (F ) Equals its Own Derived Group

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

More information

A combinatorial problem associated with nonograms

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

More information

NP-Completeness : Proofs

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

More information

Problem Solving in Math (Math 43900) Fall 2013

Problem Solving in Math (Math 43900) Fall 2013 Problem Solvng n Math (Math 43900) Fall 2013 Week four (September 17) solutons Instructor: Davd Galvn 1. Let a and b be two nteger for whch a b s dvsble by 3. Prove that a 3 b 3 s dvsble by 9. Soluton:

More information

On intransitive graph-restrictive permutation groups

On intransitive graph-restrictive permutation groups J Algebr Comb (2014) 40:179 185 DOI 101007/s10801-013-0482-5 On ntranstve graph-restrctve permutaton groups Pablo Spga Gabrel Verret Receved: 5 December 2012 / Accepted: 5 October 2013 / Publshed onlne:

More information

On the size of quotient of two subsets of positive integers.

On the size of quotient of two subsets of positive integers. arxv:1706.04101v1 [math.nt] 13 Jun 2017 On the sze of quotent of two subsets of postve ntegers. Yur Shtenkov Abstract We obtan non-trval lower bound for the set A/A, where A s a subset of the nterval [1,

More information

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

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

More information

princeton univ. F 17 cos 521: Advanced Algorithm Design Lecture 7: LP Duality Lecturer: Matt Weinberg

princeton univ. F 17 cos 521: Advanced Algorithm Design Lecture 7: LP Duality Lecturer: Matt Weinberg prnceton unv. F 17 cos 521: Advanced Algorthm Desgn Lecture 7: LP Dualty Lecturer: Matt Wenberg Scrbe: LP Dualty s an extremely useful tool for analyzng structural propertes of lnear programs. Whle there

More information

Complete subgraphs in multipartite graphs

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

More information

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

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

More information

Some Consequences. Example of Extended Euclidean Algorithm. The Fundamental Theorem of Arithmetic, II. Characterizing the GCD and LCM

Some Consequences. Example of Extended Euclidean Algorithm. The Fundamental Theorem of Arithmetic, II. Characterizing the GCD and LCM Example of Extended Eucldean Algorthm Recall that gcd(84, 33) = gcd(33, 18) = gcd(18, 15) = gcd(15, 3) = gcd(3, 0) = 3 We work backwards to wrte 3 as a lnear combnaton of 84 and 33: 3 = 18 15 [Now 3 s

More information

Partitions and compositions over finite fields

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

More information

The Order Relation and Trace Inequalities for. Hermitian Operators

The Order Relation and Trace Inequalities for. Hermitian Operators Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence

More information

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

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

More information

DIFFERENTIAL FORMS BRIAN OSSERMAN

DIFFERENTIAL FORMS BRIAN OSSERMAN DIFFERENTIAL FORMS BRIAN OSSERMAN Dfferentals are an mportant topc n algebrac geometry, allowng the use of some classcal geometrc arguments n the context of varetes over any feld. We wll use them to defne

More information

SPECIAL SUBSETS OF DIFFERENCE SETS WITH PARTICULAR EMPHASIS ON SKEW HADAMARD DIFFERENCE SETS

SPECIAL SUBSETS OF DIFFERENCE SETS WITH PARTICULAR EMPHASIS ON SKEW HADAMARD DIFFERENCE SETS SPECIAL SUBSETS OF DIFFERENCE SETS WITH PARTICULAR EMPHASIS ON SKEW HADAMARD DIFFERENCE SETS ROBERT S. COULTER AND TODD GUTEKUNST Abstract. Ths artcle ntroduces a new approach to studyng dfference sets

More information

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

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

More information

2 More examples with details

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

More information

Vapnik-Chervonenkis theory

Vapnik-Chervonenkis theory Vapnk-Chervonenks theory Rs Kondor June 13, 2008 For the purposes of ths lecture, we restrct ourselves to the bnary supervsed batch learnng settng. We assume that we have an nput space X, and an unknown

More information

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

where a is any ideal of R. Lemma Let R be a ring. Then X = Spec R is a topological space. Moreover the open sets 11. Schemes To defne schemes, just as wth algebrac varetes, the dea s to frst defne what an affne scheme s, and then realse an arbtrary scheme, as somethng whch s locally an affne scheme. The defnton of

More information

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

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

More information

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

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

More information

Exercise Solutions to Real Analysis

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

More information

No-three-in-line problem on a torus: periodicity

No-three-in-line problem on a torus: periodicity arxv:1901.09012v1 [cs.dm] 25 Jan 2019 No-three-n-lne problem on a torus: perodcty Mchael Skotnca skotnca@kam.mff.cun.cz Abstract Let τ m,n denote the maxmal number of ponts on the dscrete torus (dscrete

More information

Lecture 10: May 6, 2013

Lecture 10: May 6, 2013 TTIC/CMSC 31150 Mathematcal Toolkt Sprng 013 Madhur Tulsan Lecture 10: May 6, 013 Scrbe: Wenje Luo In today s lecture, we manly talked about random walk on graphs and ntroduce the concept of graph expander,

More information

SUCCESSIVE MINIMA AND LATTICE POINTS (AFTER HENK, GILLET AND SOULÉ) M(B) := # ( B Z N)

SUCCESSIVE MINIMA AND LATTICE POINTS (AFTER HENK, GILLET AND SOULÉ) M(B) := # ( B Z N) SUCCESSIVE MINIMA AND LATTICE POINTS (AFTER HENK, GILLET AND SOULÉ) S.BOUCKSOM Abstract. The goal of ths note s to present a remarably smple proof, due to Hen, of a result prevously obtaned by Gllet-Soulé,

More information

Perron Vectors of an Irreducible Nonnegative Interval Matrix

Perron Vectors of an Irreducible Nonnegative Interval Matrix Perron Vectors of an Irreducble Nonnegatve Interval Matrx Jr Rohn August 4 2005 Abstract As s well known an rreducble nonnegatve matrx possesses a unquely determned Perron vector. As the man result of

More information

Restricted divisor sums

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

More information

Digraph representations of 2-closed permutation groups with a normal regular cyclic subgroup

Digraph representations of 2-closed permutation groups with a normal regular cyclic subgroup Dgraph representatons of 2-closed permutaton groups wth a normal regular cyclc subgroup Jng Xu Department of Mathematcs Captal Normal Unversty Bejng 100048, Chna xujng@cnu.edu.cn Submtted: Mar 30, 2015;

More information

Character Degrees of Extensions of PSL 2 (q) and SL 2 (q)

Character Degrees of Extensions of PSL 2 (q) and SL 2 (q) Character Degrees of Extensons of PSL (q) and SL (q) Donald L. Whte Department of Mathematcal Scences Kent State Unversty, Kent, Oho 444 E-mal: whte@math.kent.edu July 7, 01 Abstract Denote by S the projectve

More information

On quasiperfect numbers

On quasiperfect numbers Notes on Number Theory and Dscrete Mathematcs Prnt ISSN 1310 5132, Onlne ISSN 2367 8275 Vol. 23, 2017, No. 3, 73 78 On quasperfect numbers V. Sva Rama Prasad 1 and C. Suntha 2 1 Nalla Malla Reddy Engneerng

More information

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number

More information

European Journal of Combinatorics

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

More information

COMPLEX NUMBERS AND QUADRATIC EQUATIONS

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

More information

Introductory Cardinality Theory Alan Kaylor Cline

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

More information

Perfect Competition and the Nash Bargaining Solution

Perfect Competition and the Nash Bargaining Solution Perfect Competton and the Nash Barganng Soluton Renhard John Department of Economcs Unversty of Bonn Adenauerallee 24-42 53113 Bonn, Germany emal: rohn@un-bonn.de May 2005 Abstract For a lnear exchange

More information

Finding Primitive Roots Pseudo-Deterministically

Finding Primitive Roots Pseudo-Deterministically Electronc Colloquum on Computatonal Complexty, Report No 207 (205) Fndng Prmtve Roots Pseudo-Determnstcally Ofer Grossman December 22, 205 Abstract Pseudo-determnstc algorthms are randomzed search algorthms

More information

18.781: Solution to Practice Questions for Final Exam

18.781: Solution to Practice Questions for Final Exam 18.781: Soluton to Practce Questons for Fnal Exam 1. Fnd three solutons n postve ntegers of x 6y = 1 by frst calculatng the contnued fracton expanson of 6. Soluton: We have 1 6=[, ] 6 6+ =[, ] 1 =[,, ]=[,,

More information

9 Characteristic classes

9 Characteristic classes THEODORE VORONOV DIFFERENTIAL GEOMETRY. Sprng 2009 [under constructon] 9 Characterstc classes 9.1 The frst Chern class of a lne bundle Consder a complex vector bundle E B of rank p. We shall construct

More information

Module 9. Lecture 6. Duality in Assignment Problems

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

More information

More metrics on cartesian products

More metrics on cartesian products More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of

More information

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

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

More information

REAL ANALYSIS I HOMEWORK 1

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

More information

STATISTICAL GROUP THEORY

STATISTICAL GROUP THEORY STATISTICAL GROUP THEORY ELAN BECHOR Abstract. Ths paper examnes two major results concernng the symmetrc group, S n. The frst result, Landau s theorem, gves an asymptotc formula for the maxmum order of

More information

Canonical transformations

Canonical transformations Canoncal transformatons November 23, 2014 Recall that we have defned a symplectc transformaton to be any lnear transformaton M A B leavng the symplectc form nvarant, Ω AB M A CM B DΩ CD Coordnate transformatons,

More information

SUPER PRINCIPAL FIBER BUNDLE WITH SUPER ACTION

SUPER PRINCIPAL FIBER BUNDLE WITH SUPER ACTION talan journal of pure appled mathematcs n. 33 2014 (63 70) 63 SUPER PRINCIPAL FIBER BUNDLE WITH SUPER ACTION M.R. Farhangdoost Department of Mathematcs College of Scences Shraz Unversty Shraz, 71457-44776

More information

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

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

More information

Appendix B. Criterion of Riemann-Stieltjes Integrability

Appendix B. Criterion of Riemann-Stieltjes Integrability Appendx B. Crteron of Remann-Steltes Integrablty Ths note s complementary to [R, Ch. 6] and [T, Sec. 3.5]. The man result of ths note s Theorem B.3, whch provdes the necessary and suffcent condtons for

More information

Math 594. Solutions 1

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

More information

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

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

More information

THE WEIGHTED WEAK TYPE INEQUALITY FOR THE STRONG MAXIMAL FUNCTION

THE WEIGHTED WEAK TYPE INEQUALITY FOR THE STRONG MAXIMAL FUNCTION THE WEIGHTED WEAK TYPE INEQUALITY FO THE STONG MAXIMAL FUNCTION THEMIS MITSIS Abstract. We prove the natural Fefferman-Sten weak type nequalty for the strong maxmal functon n the plane, under the assumpton

More information

Math 217 Fall 2013 Homework 2 Solutions

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

More information

On the irreducibility of a truncated binomial expansion

On the irreducibility of a truncated binomial expansion On the rreducblty of a truncated bnomal expanson by Mchael Flaseta, Angel Kumchev and Dmtr V. Pasechnk 1 Introducton For postve ntegers k and n wth k n 1, defne P n,k (x = =0 ( n x. In the case that k

More information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

More information

PRIMES 2015 reading project: Problem set #3

PRIMES 2015 reading project: Problem set #3 PRIMES 2015 readng project: Problem set #3 page 1 PRIMES 2015 readng project: Problem set #3 posted 31 May 2015, to be submtted around 15 June 2015 Darj Grnberg The purpose of ths problem set s to replace

More information

NOTES ON SIMPLIFICATION OF MATRICES

NOTES ON SIMPLIFICATION OF MATRICES NOTES ON SIMPLIFICATION OF MATRICES JONATHAN LUK These notes dscuss how to smplfy an (n n) matrx In partcular, we expand on some of the materal from the textbook (wth some repetton) Part of the exposton

More information

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

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

More information

Supplement: Proofs and Technical Details for The Solution Path of the Generalized Lasso

Supplement: Proofs and Technical Details for The Solution Path of the Generalized Lasso Supplement: Proofs and Techncal Detals for The Soluton Path of the Generalzed Lasso Ryan J. Tbshran Jonathan Taylor In ths document we gve supplementary detals to the paper The Soluton Path of the Generalzed

More information

U.C. Berkeley CS294: Spectral Methods and Expanders Handout 8 Luca Trevisan February 17, 2016

U.C. Berkeley CS294: Spectral Methods and Expanders Handout 8 Luca Trevisan February 17, 2016 U.C. Berkeley CS94: Spectral Methods and Expanders Handout 8 Luca Trevsan February 7, 06 Lecture 8: Spectral Algorthms Wrap-up In whch we talk about even more generalzatons of Cheeger s nequaltes, and

More information

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

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

More information

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

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

More information

MTH 819 Algebra I S13. Homework 1/ Solutions. 1 if p n b and p n+1 b 0 otherwise ) = 0 if p q or n m. W i = rw i

MTH 819 Algebra I S13. Homework 1/ Solutions. 1 if p n b and p n+1 b 0 otherwise ) = 0 if p q or n m. W i = rw i MTH 819 Algebra I S13 Homework 1/ Solutons Defnton A. Let R be PID and V a untary R-module. Let p be a prme n R and n Z +. Then d p,n (V) = dm R/Rp p n 1 Ann V (p n )/p n Ann V (p n+1 ) Note here that

More information

REGULAR POSITIVE TERNARY QUADRATIC FORMS. 1. Introduction

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

More information

CONJUGACY IN THOMPSON S GROUP F. 1. Introduction

CONJUGACY IN THOMPSON S GROUP F. 1. Introduction CONJUGACY IN THOMPSON S GROUP F NICK GILL AND IAN SHORT Abstract. We complete the program begun by Brn and Squer of charactersng conjugacy n Thompson s group F usng the standard acton of F as a group of

More information

Every planar graph is 4-colourable a proof without computer

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

More information

On the Operation A in Analysis Situs. by Kazimierz Kuratowski

On the Operation A in Analysis Situs. by Kazimierz Kuratowski v1.3 10/17 On the Operaton A n Analyss Stus by Kazmerz Kuratowsk Author s note. Ths paper s the frst part slghtly modfed of my thess presented May 12, 1920 at the Unversty of Warsaw for the degree of Doctor

More information

Lecture 2: Gram-Schmidt Vectors and the LLL Algorithm

Lecture 2: Gram-Schmidt Vectors and the LLL Algorithm NYU, Fall 2016 Lattces Mn Course Lecture 2: Gram-Schmdt Vectors and the LLL Algorthm Lecturer: Noah Stephens-Davdowtz 2.1 The Shortest Vector Problem In our last lecture, we consdered short solutons to

More information

and problem sheet 2

and problem sheet 2 -8 and 5-5 problem sheet Solutons to the followng seven exercses and optonal bonus problem are to be submtted through gradescope by :0PM on Wednesday th September 08. There are also some practce problems,

More information