Low-discrepancy sequences using duality and global function fields

Size: px
Start display at page:

Download "Low-discrepancy sequences using duality and global function fields"

Transcription

1 ACTA ARITHMETICA (2007) Low-dscrepancy sequences usng dualty and global functon felds by Harald Nederreter (Sngapore) and FerruhÖzbudak (Sngapore and Ankara) 1. Introducton. Let s 1 be an nteger and I s be the s-dmensonal unt cube [0, 1] s. We consder (fnte) pont sets and (nfnte) sequences of ponts n I s, where the term pont set s used n the sense of the combnatoral noton of multset, that s, a set n whch multplcty of elements s allowed and taken nto account. Constructng sequences wth good equdstrbuton propertes s an mportant problem n number theory and has applcatons to quas-monte Carlo methods n numercal analyss (see [6], [7], [8], [15]). The precse formulaton of the problem leads to the concept of star dscrepancy and the requrement of constructng low-dscrepancy sequences. A very powerful method for constructng low-dscrepancy sequences s the constructon of (t, s)-sequences usng global functon felds n [12] and [19] (see also [15, Chapter 8]). A relevant method for constructng low-dscrepancy pont sets s the constructon of (t, m, s)-nets and dgtal nets. The concept of dualty was ntroduced n [11] and used n [10] for the constructon of dgtal nets from global functon felds. We refer the reader to [8] and [9] for recent surveys on constructons of (t, m, s)-nets and (t, s)-sequences. Recently Krtzer [2] mproved the star dscrepancy bounds for (t, m, s)-nets and (t, s)-sequences. In ths paper we construct low-dscrepancy sequences usng the concept of dualty and global functon felds. For certan parameters these sequences gve asymptotcally better star dscrepancy bounds than (t, s)-sequences. An mportant role n our constructon s played by dfferentals of global functon felds. We note that a completely dfferent constructon of lowdscrepancy sequences usng dfferentals of global functon felds was recently gven n [4] Mathematcs Subject Classfcaton: 11K38, 11K45, 11R58. Key words and phrases: low-dscrepancy sequences, (t, s)-sequences, global functon felds, dfferentals. [79] c Instytut Matematyczny PAN, 2007

2 80 H. Nederreter and F. Özbudak The paper s organzed as follows. We gve some basc defntons n the remander of ths secton. Secton 2 contans some prelmnares and auxlary results. In Secton 3 we present our constructon of low-dscrepancy sequences. In Secton 4 we obtan a star dscrepancy bound for a class of sequences ncludng those constructed n Secton 3. We gve concrete examples and llustrate our mprovements by numercal results n Secton 5. Now we present some basc defntons. For a subnterval J of I s and for a pont set P of N 1 ponts x 0, x 1,..., x N 1 I s, we wrte A(J; P) for the number of ntegers n wth 0 n N 1 for whch x n J. We put A(J; P) (1.1) R(J; P) = λ s (J), N where λ s s the s-dmensonal Lebesgue measure. Defnton 1.1. The star dscrepancy DN (P) of the pont set P of N 1 elements of I s s defned by DN(P) = sup R(J; P), J where the supremum s extended over all subntervals J of I s wth one vertex at the orgn. For a sequence S of ponts n I s and N 1, the star dscrepancy DN (S) s meant to be the star dscrepancy of the frst N terms of S. Gven an nteger b 2, an nterval of the form s J = [a b d, (a + 1)b d ) I s =1 wth ntegers d 0 and 0 a < b d for 1 s s called an elementary nterval n base b. Defnton 1.2. For ntegers b 2, s 1, and 0 t m, a (t, m, s)-net n base b s a pont set P consstng of b m ponts n I s such that R(J; P) = 0 for every elementary nterval J I s n base b wth λ s (J) = b t m. 2. Prelmnares. We ntroduce some notaton whch wll be used n what follows. Let b 2 be an nteger and Z b = {0, 1,...,b 1} be the least resdue system modulo b. For a real number x [0, 1], let (2.1) x = y j b j wth all y j Z b j=1 be a b-adc expanson of x, where the case n whch y j = b 1 for all but fntely many j s allowed. Usng the expanson of x n (2.1), for an nteger

3 m 1 we defne the truncaton Low-dscrepancy sequences 81 [x] b,m = m y j b j. j=1 Note that the truncaton operates on the expanson of x and t may yeld dfferent results dependng on whch b-adc expanson of x s used. If x = (x (1),..., x (s) ) I s and the x (), 1 s, are gven by prescrbed b-adc expansons, then we defne (2.2) [x] b,m = ([x (1) ] b,m,...,[x (s) ] b,m ). The concept of a (T, s)-sequence n base b was ntroduced by Larcher and Nederreter [3]. We use a slght varant of ths concept whch, at the same tme, generalzes the verson of the defnton of a (t, s)-sequence n base b used n [12] and [15, Chapter 8]. We wrte N for the set of postve ntegers and N 0 for the set of nonnegatve ntegers. Defnton 2.1. Let b 2 and s 1 be ntegers and let T : N N 0 be a functon wth T(m) m for all m N. Then a sequence x 0, x 1,... of ponts n I s s a (T, s)-sequence n base b f for all k N 0 and m N, the ponts [x n ] b,m wth kb m n < (k + 1)b m form a (T(m), m, s)-net n base b. Remark 2.2. The orgnal defnton of a (T, s)-sequence n base b n [3] requred that for all k N 0 and m N, the ponts x n wth kb m n < (k + 1)b m form a (T(m), m, s)-net n base b. For ths earler defnton, all ponts x n need to be n the half-open unt cube [0, 1) s, whereas Defnton 2.1 allows ponts from the closed unt cube I s. The devce of truncaton n (2.2) and n Defnton 2.1 guarantees that even though all the ponts x n are n I s, all the ponts [x n ] b,m are n [0, 1) s. Note that t s a necessary condton for a (t, m, s)-net P n base b that all ponts of P be n [0, 1) s. Remark 2.3. If T s such that T(m) t for some nteger t 0 and all ntegers m > t, then Defnton 2.1 yelds the concept of a (t, s)-sequence n base b. The smaller the value of t, the better the equdstrbuton propertes of a (t, s)-sequence n base b. Next we recall the dgtal method for the constructon of sequences of ponts n I s. Ths method goes back to [5]. For our purposes, t s convenent to follow the presentaton n [15, Secton 8.2]. We fx a base b 2 and a dmenson s 1. Let R be a fnte commutatve rng wth dentty and of order b. We set up a map φ : R [0, 1] by selectng a bjecton η : R Z b and puttng φ (r 1, r 2,...) = η(r j )b j for (r 1, r 2,...) R. j=1

4 82 H. Nederreter and F. Özbudak Furthermore, we choose matrces C (1),..., C (s) over R whch are called generatng matrces. For n = 0, 1,..., let n = a j (n)b j j=0 be the dgt expanson of n n base b, where a j (n) Z b for j 0 and a j (n) = 0 for all suffcently large j. Choose a bjecton ψ : Z b R wth ψ(0) = 0 and assocate wth n the sequence n = (ψ(a 0 (n)), ψ(a 1 (n)),...) R. Now we defne the sequence x 0, x 1,... of ponts n I s by (2.3) x n = (φ (nc (1) ),...,φ (nc (s) )) for n = 0, 1,.... Note that the products nc () are well defned snce n contans only fntely many nonzero terms. For each = 1,...,s and m N, let C m () be the m m submatrx of C () obtaned from the frst m rows and columns of C (). For j = 1,...,m, let c () m,j be the jth column vector of C() m. For any d = (d 1,...,d s ) N s 0 wth d m for 1 s and d := s =1 d > 0, we defne the m d matrx (2.4) C m,d = [c (1) m,1...c(1) m,d 1...c (s) m,1...c(s) m,d s ] whose columns are obtaned from the ndcated columns of C (1) m,...,c (s) m. Proposton 2.4. The sequence (2.3) s a (T, s)-sequence n base b f and only f for any m N wth T(m) < m and any d = (d 1,...,d s ) N s 0 wth s =1 d = m T(m) the system of homogeneous lnear equatons kc m,d = 0 R m T(m) has exactly b T(m) solutons k R m, where C m,d s the matrx n (2.4). Proof. Ths s shown by the same argument as n the proof of [15, Theorem 8.2.9]. Note that we need not check the condton n Defnton 2.1 when T(m) = m snce any pont set consstng of b m ponts n [0, 1) s s an (m, m, s)-net n base b. We now consder the specal case where the rng R s the fnte feld F q of order q, wth q beng an arbtrary prme power. As above, let c () m,1,...,c() m,m denote the column vectors of the matrx C m (). For ntegers 0 < d m, we call {c () m,j Fm q : 1 j m, 1 s} a (d, m, s)-system over F q f for any (d 1,...,d s ) N s 0 wth s =1 d = d the vectors c () m,j, 1 j d, 1 s, are lnearly ndependent over F q (see [11, Defnton 3]).

5 Low-dscrepancy sequences 83 Corollary 2.5. Suppose that for any m N wth T(m) < m, {c () m,j F m q : 1 j m, 1 s} s an (m T(m), m, s)-system over F q. Then (2.3) s a (T, s)-sequence n base q. Proof. The gven hypothess guarantees that any matrx C m,d n Proposton 2.4 has rank m T(m), and so the result follows mmedately from Proposton 2.4. We need some notaton and concepts from the dualty theory developed by Nederreter and Prsc [11]. For m N and a = (a 1,...,a m ) F m q, we put v(a) = 0 f a = 0, and otherwse v(a) = max{j : a j 0}. For ntegers s 2, we extend ths defnton to F ms q by wrtng a vector A F ms q as the concatenaton of s vectors of length m,.e., A = (a (1),...,a (s) ) F ms q wth a () F m q for 1 s, and puttng s V m (A) = v(a () ). =1 Defnton 2.6. For any nonzero F q -lnear subspace N of F ms q, we defne the mnmum dstance δ m (N) = mn V m(a). A N \{0} For any F q -lnear subspace M of F ms q, we defne ts dual space M by M = {A F ms q : A M = 0 for all M M}, where denotes the standard nner product on F ms q. Note that (2.5) dm(m ) = ms dm(m), where here and subsequently we wrte dm(w) for the F q -dmenson of a fnte-dmensonal vector space W over F q. Let C (1),...,C (s) agan be the generatng matrces over F q n (2.3). For each = 1,...,s and m N, let C m () be the m m submatrx of C () defned above. Then we set up the m ms matrx (2.6) C m = [C m (1) C m (2)... C m (s) ] over F q and let C m be the row space of C m. It s trval that dm(c m ) m, and so (2.5) shows that Cm has postve dmenson whenever s 2. Therefore the mnmum dstance δ m (Cm) s defned n ths case. Proposton 2.7. Let s 2 and suppose that for any m N wth T(m) < m, the dual space C m of C m satsfes δ m (C m) m T(m) + 1.

6 84 H. Nederreter and F. Özbudak Then the sequence (2.3) wth generatng matrces C (1),...,C (s) over F q s a (T, s)-sequence n base q. Proof. For any m N wth T(m) < m, consder the system {c () m,j F m q : 1 j m, 1 s} of column vectors of the matrx C m n (2.6). In vew of [11, Theorem 1 and Defnton 3], the gven hypothess mples that {c () m,j Fm q : 1 j m, 1 s} s an (m T(m), m, s)-system over F q. The desred result now follows from Corollary A constructon from global functon felds. Throughout ths secton we assume the exstence of a global functon feld F satsfyng the followng assumpton. Assumpton 3.1. Let s 2 and g 0 be ntegers and let q be a prme power. Assume that there exsts a global functon feld F wth full constant feld F q and wth the followng propertes: () the genus of F s g; () there exst s dstnct places P 1,...,P s of F of degree 1; () there exsts a place Q of F of degree 2. Usng places of F of suffcently large degree, we can fnd a dvsor G of F of degree g 1 such that the support of G s dsjont from {Q, P 1,...,P s }. For even ntegers 2m g, let A 2m, G 2m, and G 2m+1 be the dvsors of F gven by A 2m := G mq, G 2m := G mq + 2m(P P s ), G 2m+1 := G mq + (2m + 1)(P P s ). For a dvsor A of F, let Ω(A) denote the F q -lnear subspace of the space Ω of dfferentals of F gven by Ω(A) = {ω Ω : (ω) A} {0}. We refer to the book of Stchtenoth [18] for the theory of dfferentals of global functon felds and for other background on global functon felds. Lemma 3.2. For all even ntegers 2m g, we have Ω(A 2m ) Ω(A 2m+2 ) and dm(ω(a 2m )) = 2m. Proof. As A 2m+2 A 2m, t s clear that Ω(A 2m ) Ω(A 2m+2 ). Note that deg(a 2m ) = g 1 2m < 0 snce 2m g. Then we have and the proof s complete. dm(ω(a 2m )) = deg(a 2m ) + g 1 = 2m,

7 Low-dscrepancy sequences 85 Usng Lemma 3.2, let ω 1, ω 2,... be a sequence of dfferentals of F such that for all ntegers 2m g we have ω 1,..., ω 2m = Ω(A 2m ). For a dvsor A of F, let L(A) denote the Remann Roch space L(A) = {x F : (x) A} {0}. Lemma 3.3. For all even ntegers 2m g we have the followng: () If ω Ω(A 2m ) and x L(G 2m ) are nonzero, then (xω) 2m(P P s ). () If ω Ω(A 2m ) and x L(G 2m+1 ) are nonzero, then Proof. Note that (xω) (2m + 1)(P P s ). A 2m G 2m = 2m(P P s ). For nonzero ω Ω(A 2m ) and x L(G 2m ), we have (ω) A 2m and (x) G 2m. Usng also the fact that (xω) = (x) + (ω), we complete the proof of (). The proof of () s smlar. For a dfferental δ Ω and a place P of F of degree 1, let res P (δ) F q denote the resdue of the dfferental δ at P. For = 1,...,s, let t be a local parameter of F at P. We wll construct our low-dscrepancy sequences n Theorem 3.7 below by usng the mages of F q -lnear spaces ω 1,...,ω m of dfferentals under sutable F q -lnear maps formed from resdues of some dfferentals at the places P 1,..., P s for m g + 1. If m = 2m g + 1, then ω 1,...,ω m = Ω(A 2m ) and the mage wll be the mage of Ω(A 2m ) under a sutable F q - lnear map dependng on m. If m = 2m + 1 g + 1, then ω 1,...,ω m Ω(A 2m+2 ) and the mage wll be the mage of the proper subspace ω 1,...,ω 2m+1 of Ω(A 2m+2 ) under a sutable F q -lnear map dependng on m. Now we defne these F q -lnear maps for m g+1. The defntons depend heavly on the party of m. For even ntegers 2m g+1 and for = 1,...,s, let ϕ 2m, and ϕ 2m+1, be the F q -lnear maps defned by ϕ 2m, : Ω(A 2m ) Fq 2m, ω (res P (t 1 ω), res P (t 2 ω),...,res P (t 2m ω)), and ϕ 2m+1, : Ω(A 2m+2 ) F 2m+1 q, ω (res P (t 1 ω), res P (t 2 ω),...,res P (t 2m 1 ω)).

8 86 H. Nederreter and F. Özbudak Moreover, let Φ 2m and Φ 2m+1 be the F q -lnear maps (3.1) and (3.2) Φ 2m : Ω(A 2m ) F 2ms q, Φ 2m+1 : Ω(A 2m+2 ) F (2m+1)s Furthermore, we put ω (ϕ 2m,1 (ω), ϕ 2m,2 (ω),...,ϕ 2m,s (ω)), q, ω (ϕ 2m+1,1 (ω), ϕ 2m+1,2 (ω),...,ϕ 2m+1,s (ω)). M 2m := Φ 2m (Ω(A 2m )), M 2m+1 := Φ 2m+1 ( ω 1,...,ω 2m+1 ). Lemma 3.4. For even ntegers 2m g +1, the F q -lnear maps Φ 2m and Φ 2m+1 are njectve and dm(m 2m ) = 2m, dm(m 2m+1 ) = 2m + 1. Proof. It s well known that for a dvsor A of F wth deg(a) 2g 1 we have dm(ω(a)) = 0. Moreover, for = 1,...,s and l N, f ν P ((ω)) 0 and res P (t 1 ω) = res P (t 2 ω) = = res P (t l ω) = 0, then ν P ((ω)) l. Assume that ω Ω(A 2m ) s nonzero and Φ 2m (ω) = 0 F 2ms q. Then (ω) A 2m + 2m(P P s ) = G mq + 2m(P P s ). Thus, ω Ω(A 2m +2m(P 1 + +P s )) and deg(a 2m +2m(P 1 + +P s )) = g 1 + 2m(s 1) g 1 + 2m 2g, where we have used the facts that s 2 and 2m g + 1. Hence dm(ω(a 2m + 2m(P P s ))) = 0, a contradcton. Ths shows that Φ 2m s njectve, and so dm(m 2m ) = 2m by Lemma 3.2. Smlarly, the njectvty of Φ 2m+1 follows from the observaton that deg(a 2m+2 + (2m + 1)(P P s )) = g 1 + (s 2) + 2m(s 1) 2g. It s then obvous that dm(m 2m+1 ) = 2m + 1. For even ntegers 2m g + 1, we defne further F q -lnear maps. For = 1,...,s and x L(G 2m ), let x ( 1), x ( 2),...,x ( 2m) be the elements of F q whch are the coeffcents n the local expanson x = x ( 2m) t 2m + x ( 2m+1) t 2m+1 + of x at P. Smlarly, for = 1,...,s and x L(G 2m+1 ), we defne x ( 1), x ( 2),...,x ( 2m 1) F q. Let ψ 2m, : L(G 2m ) F 2m q, x (x ( 1), x ( 2),..., x ( 2m) ), ψ 2m+1, : L(G 2m+1 ) F 2m+1 q, x (x ( 1), x ( 2),...,x ( 2m 1) ).

9 Low-dscrepancy sequences 87 Moreover, let Ψ 2m and Ψ 2m+1 be the F q -lnear maps and Ψ 2m : L(G 2m ) F 2ms q, x (ψ 2m,1 (x), ψ 2m,2 (x),...,ψ 2m,s (x)), Ψ 2m+1 : L(G 2m+1 ) F (2m+1)s q, x (ψ 2m+1,1 (x), ψ 2m+1,2 (x),...,ψ 2m+1,s (x)). Furthermore, we put N 2m := Ψ 2m (L(G 2m )), N 2m+1 := Ψ 2m+1 (L(G 2m+1 )). Lemma 3.5. For even ntegers 2m g +1, the F q -lnear maps Ψ 2m and Ψ 2m+1 are njectve and dm(n 2m ) = 2ms 2m, dm(n 2m+1 ) = (2m + 1)s 2m. Proof. Assume that x L(G 2m ) and Ψ 2m (x) = 0 Fq 2ms. Then ν P (x) 0 for 1 s and hence x L(G 2m 2m(P P s )). Note that deg(g 2m 2m(P P s )) = g 1 2m < 0 as 2m g + 1. Hence x = 0 and Ψ 2m s njectve. We also have deg(g 2m ) = g 1 2m + 2ms > 2g 1 as 2m g + 1 and s 2. Therefore by the Remann Roch theorem, dm(n 2m ) = dm(l(g 2m )) = deg(g 2m ) + 1 g = 2ms 2m. Next assume that x L(G 2m+1 ) and Ψ 2m+1 (x) = 0 F (2m+1)s q. Smlarly, we have x L(G 2m+1 (2m + 1)(P P s )) and hence x = 0 and Ψ 2m+1 s njectve. Also deg(g 2m+1 ) = g 1 2m+(2m+1)s s+2g 1 > 2g 1 and then dm(n 2m+1 ) = dm(l(g 2m+1 )) = deg(g 2m+1 ) + 1 g = (2m + 1)s 2m. Proposton 3.6. For even ntegers 2m g + 1 we have: () M 2m = N 2m. () M 2m+1 N 2m+1. Proof. Frst we prove (). We wll show that for ω Ω(A 2m ) and x L(G 2m ), we have Φ 2m (ω) Ψ 2m (x) = 0, where the nner product s the standard nner product on Fq 2ms. Ths mples that M 2m N 2m n Fq 2ms. Moreover, by Lemmas 3.4 and 3.5, dm(m 2m )+dm(n 2m ) = 2ms and hence we get M 2m = N 2m by (2.5). Now we prove that for ω Ω(A 2m ) and x L(G 2m ), we have Φ 2m (ω) Ψ 2m (x) = 0. For = 1,..., s, the local expanson of x L(G 2m ) at P s (3.3) x = x ( 2m) t 2m + x ( 2m+1) t 2m x ( 1) t 1 + y, where ν P (y ) 0. For ω Ω(A 2m ), usng the F q -lnearty of the resdue map res P we get res P (xω) = x ( 2m) res P (t 2m ω) + + x ( 1) res P (t ( 1) ω) + res P (y ω).

10 88 H. Nederreter and F. Özbudak As ν P (y ) 0 and ν P (ω) ν P (A 2m ) = 0, we have res P (y ω) = 0 and hence (3.4) res P (xω) = ϕ 2m, (ω) ψ 2m, (x), where the nner product s the standard nner product on Fq 2m. Usng the Resdue Theorem (cf. [1, Secton III.5, Theorems 2 and 3]), Lemma 3.3(), and (3.4), we obtan 0 = s res P (xω) = ϕ 2m, (ω) ψ 2m, (x) = Φ 2m (ω) Ψ 2m (x), P =1 where the frst sum s over all places P of F. Ths fnshes the proof of (). Now we consder (). Let W be the F q -lnear subspace of F q (2m+1)s gven by W = Φ 2m+1 (Ω(A 2m )). By Lemmas 3.2 and 3.4, we have dm(w) = 2m and M 2m+1 W. It suffces to prove that W = N 2m+1. Indeed, ths mples that M 2m+1 W = N 2m+1. Usng Lemma 3.5, we deduce that dm(w) + dm(n 2m+1 ) = 2m + (2m + 1)s 2m = (2m + 1)s. Therefore t remans to show that f ω Ω(A 2m ) and x L(G 2m+1 ), then Φ 2m+1 (ω) Ψ 2m+1 (x) = 0, where the nner product s the standard nner product on F (2m+1)s q. We follow smlar arguments to those n the proof of (). For = 1,..., s, for x L(G 2m+1 ) and ω Ω(A 2m ), usng the local expanson of x at P, we obtan (3.5) res P (xω) = ϕ 2m+1, (ω) ψ 2m+1, (x), where the nner product s the standard nner product on Fq 2m+1. Note that n the local expanson of x L(G 2m+1 ) at P, we have the extra term x ( 2m 1) t 2m 1, n addton to the terms n (3.3). Then, smlarly to the case (), usng the Resdue Theorem, Lemma 3.3(), and (3.5), we complete the proof of (). For an nteger m g +1, let C m be the m ms matrx over F q gven by Φ m (ω 1 ) (3.6) Φ C m = m (ω 2 ).. Φ m (ω m ) Note that for an nteger m g + 1, f m s even (resp. odd), then Φ m s defned by (3.1) (resp. (3.2)). Let C m (1), C m (2),...,C m (s) be the m m matrces over F q defned by (3.7) C m = [C (1) m C (2) m... C (s) m ].

11 Low-dscrepancy sequences 89 We observe that for each = 1,...,s, C m () s the m m submatrx of the (m + 1) (m + 1) matrx C () m+1 formed from the frst m rows and columns of C () m+1. Hence, for each = 1,...,s, we can buld an matrx C() over F q such that for any nteger m g + 1 the m m submatrx of C () formed from the frst m rows and columns of C () s equal to C () m. Our constructon of low-dscrepancy sequences now proceeds by the dgtal method descrbed n Secton 2. We use the matrces C (1),...,C (s) over F q defned n the prevous paragraph as the generatng matrces n (2.3). The resultng sequence s a (T, s)-sequence n base q n the sense of Defnton 2.1, wth the functon T : N N 0 gven n the followng theorem. Theorem 3.7. Under Assumpton 3.1, let S be the sequence of ponts n I s whch s constructed n (2.3) usng the generatng matrces C (1),...,C (s) over F q defned after (3.7). Then S s a (T, s)-sequence n base q wth T(m) = m for 1 m g, T(m) = g for even m g +1, and T(m) = g +1 for odd m g + 1. Proof. We proceed by Proposton 2.7. Frst let m = 2m be even. We can assume that m = 2m g + 1. Then by constructon, the row space C m of the matrx C m n (3.6) s gven by C m = M 2m. Hence t follows from Proposton 3.6 that C m = N 2m. Now we apply [10, Theorem 3.1] wth N = C m (P 1,...,P s ; G 2m ) n the notaton of that theorem and we observe that N = N 2m. Ths yelds, agan n the notaton of [10, Theorem 3.1], δ m (C m) = δ m (N 2m ) δ m(1,...,1; ms m + g 1). Next we use [10, Lemma 2.1] to obtan and so δ m(1,...,1; ms m + g 1) m g + 1, δ m (C m) m g + 1. Now let m = 2m + 1 be odd. We can assume that m = 2m + 1 g + 2. So we have C m = M 2m+1, and hence Proposton 3.6 yelds C m N 2m+1. We apply [10, Theorem 3.1] wth N = C m (P 1,...,P s ; G 2m+1 ) = N 2m+1 and obtan δ m (C m) δ m (N 2m+1 ) δ m(1,...,1; ms m + g). By [10, Lemma 2.1] we get and so δ m(1,...,1; ms m + g) m g, δ m (C m) m (g + 1) + 1. Thus, the theorem s proved n all cases.

12 90 H. Nederreter and F. Özbudak Remark 3.8. Prevous constructons of low-dscrepancy sequences usng global functon felds over F q led to (t, s)-sequences n base q (see Remark 2.3). For fxed q and s 2, the best prevous constructons of ths type usng a global functon feld F satsfyng Assumpton 3.1 yeld (t, s)- sequences n base q wth t = g + 1 (see [4], [15, Theorem 8.4.1], [19]). Theorem 3.7 mproves on these constructons under Assumpton 3.1. Ths mprovement s also reflected n better bounds on the star dscrepancy of the new sequences, as wll be shown n Secton 4. There are combnatons of values of q and s for whch the global functon felds satsfyng Assumpton 3.1 have gven the best prevous constructons of (t, s)-sequences n base q, for nstance when s = q + 1. Examples of ths type wll be presented n Secton 5. Remark 3.9. Our constructon of low-dscrepancy sequences starts from sequences of certan F q -lnear spaces of dfferentals of F. In order to construct such low-dscrepancy sequences, t s possble to use a dual approach startng from sequences of certan Remann Roch spaces of F. Snce we start from dfferentals of F, n the proof of Theorem 3.7 we can estmate the T-parameters of the low-dscrepancy sequences by usng results of [10], whch would not have been possble n a dual approach. Thus, the essental ponts of our approach are usng the Resdue Theorem and reducng the estmaton of T-parameters to the results of [10]. 4. Bounds on the star dscrepancy. In ths secton we obtan bounds on the star dscrepancy of a class of sequences of ponts n I s, ncludng those constructed n Theorem 3.7. Ths wll mply that the sequences n Theorem 3.7 have asymptotcally better bounds on the star dscrepancy than (t, s)-sequences for certan parameters. We wll also llustrate our mprovements by some concrete examples n Secton 5. For ntegers b 2, m 1, 0 t m, and s 2, let b (t, m, s) be a number for whch b m D b m(p) b(t, m, s) holds for any (t, m, s)-net P n base b. We quote the followng result n [2, Corollary 4] n a smplfed form. Proposton 4.1. If b s even, then we can take b (t, m, s) = and f b s odd, then we can take b t+s (b + 1)2 s (s 1)! ms 1 + O(b t m s 2 ), b (t, m, s) = bt (b 1) s 1 2 s (s 1)! m s 1 + O(b t m s 2 ).

13 Low-dscrepancy sequences 91 In both cases, the mpled constants n the Landau symbols depend only on b and s. The followng lemma allows us to use a star dscrepancy bound for the orgnal concept of (T, s)-sequences n base b (see Remark 2.2) just as well for the concept of (T, s)-sequences n base b ntroduced n ths paper (see Defnton 2.1). Lemma 4.2. Let P be the pont set consstng of the ponts y n, n = 0, 1,...,b m 1, n I s. Suppose that the ponts [y n ] b,m, n = 0, 1,...,b m 1, form a (t, m, s)-net n base b. Then b m D b m(p) b(t, m, s). Proof. For n = 0, 1,...,b m 1, we can wrte y n = [y n ] b,m + z n wth z n [0, b m ] s. Let 0 < ε 1 be gven and let P(ε) be the pont set consstng of y n (ε) = [y n ] b,m + (1 ε)z n, n = 0, 1,...,b m 1. By Defnton 1.2 and the assumpton that the ponts [y n ] b,m, n = 0, 1,..., b m 1, form a (t, m, s)-net n base b, t s clear that P(ε) s a (t, m, s)-net n base b. Therefore b m D b m(p(ε)) b(t, m, s). Furthermore, for each n = 0, 1,...,b m 1, correspondng coordnates of y n and y n (ε) dffer by at most b m ε. Therefore, by a well-known prncple (see e.g. [6, Lemma 2.5] for the one-dmensonal case, whch can be mmedately extended to the multdmensonal case), and so b m Db m(p) bm Db m(p(ε)) sε, b m D b m(p) b(t, m, s) + sε. Lettng ε 0+, we get the desred result. Theorem 4.3. Let s 2, b 2, and t 0 be ntegers. Assume that S s a (T, s)-sequence n base b wth T(m) = m for 1 m t, T(m) = t for even m t + 1, and T(m) = t + 1 for odd m t + 1. Then for N 2, the star dscrepancy DN (S) of the frst N terms of S satsfes ( DN(S) (log N)s (log N) s 1 B s (b, t) + O N N where the mpled constant n the Landau symbol does not depend on N. ),

14 92 H. Nederreter and F. Özbudak Here (b 1)b t+s 2 B s (b, t) = s+2 s!(log b) s f b s even, (b 1) s (b + 1)b t 2 s+2 s!(log b) s f b s odd. Proof. For a gven N 2, let k N 0 be such that b k N < b k+1 and let r N 0 be maxmal such that b r dvdes N. Note that r k. In vew of Lemma 4.2, we can apply [3, Lemma 2]. Puttng T(0) = 0 and b (0, 0, s) = 1, ths yelds ND N(S) b 1 2 k b (T(m), m, s) m=r b(t(r), r, s) b(t(k + 1), k + 1, s). Now we use the values of b (t, m, s) n Proposton 4.1. The case k = 0 s trval, and so we can assume k 1. Then we obtan NDN(S) b 1 k b (T(m), m, s) + O(b t k s 1 ), 2 m=1 where the mpled constant n the Landau symbol depends only on b and s. If b s even, then we get NDN(S) (b 1)b t+s k (b + 1)2 s+1 m s 1 (s 1)! + (b 1)bt+s+1 (b + 1)2 s+1 (s 1)! m=1 m even k m=1 modd m s 1 + O(b t k s 1 ) (b 1)b t+s (b + 1)2 s+1 (s 1)! ks 2s + (b 1)bt+s+1 (b + 1)2 s+1 (s 1)! ks 2s + O(bt k s 1 ) (b 1)bt+s = 2 s+2 k s + O(b t k s 1 ). s! If b s odd, then we smlarly get NDN(S) (b 1)s (b + 1)b t 2 s+2 k s + O(b t k s 1 ). s! Usng k (log N)/(log b), we arrve at the desred result. Usng Theorems 3.7 and 4.3, we obtan the followng corollary. Corollary 4.4. Let s 2 be an nteger and q be a prme power. Suppose that there exsts a global functon feld F of genus g satsfyng Assump-

15 Low-dscrepancy sequences 93 ton 3.1. Let S be the (T, s)-sequence n base q constructed n Theorem 3.7 usng the global functon feld F. Then, for N 2, the star dscrepancy DN (S) of the frst N terms of S satsfes ( ) DN(S) (log N)s (log N) s 1 B s (q, g) + O, N N where the mpled constant n the Landau symbol does not depend on N. Here (q 1)q g+s 2 B s (q, g) = s+2 s!(log q) s f q s even, (q 1) s (q + 1)q g 2 s+2 s!(log q) s f q s odd. Remark 4.5. Accordng to the currently best bound (see [2, Corollary 11]), the star dscrepancy DN (S) of the frst N 2 terms of a (t, s)- sequence S n base b satsfes ( ) DN(S) (log N)s (log N) s 1 C s (b, t) + O, N N where the mpled constant n the Landau symbol does not depend on N and where (b 1)b t+s (b + 1)2 C s (b, t) = s+1 s!(log b) s f b s even, (b 1) s b t 2 s+1 s!(log b) s f b s odd. 5. Examples. In ths secton we gve some concrete examples and we llustrate our mprovements by numercal results. Frst we gve some examples of global functon felds satsfyng Assumpton 3.1. For d = 1, 2, we wrte N d (F) for the number of places of F of degree d. Example 5.1. Let q be any prme power, g = 0, s = q + 1, and F = F q (x) be the ratonal functon feld over F q. Then F s a functon feld wth full constant feld F q and the genus of F s 0. Moreover, N 1 (F) = q + 1 and N 2 (F) = (q 2 q)/2. Therefore F satsfes Assumpton 3.1. By Corollary 4.4, we obtan the coeffcent B q+1 (q, 0) of the leadng term n the star dscrepancy bound. On the other hand, for s = q + 1 the smallest possble t-value of a (t, s)-sequence n base q s t = 1 (see [6, Corollary 4.24] and Remark 3.8). By Remark 4.5, ths yelds the coeffcent C q+1 (q, 1) of the leadng term n the star dscrepancy bound. It s now easly seen that B q+1 (q, 0) < C q+1 (q, 1) for any prme power q. Thus, for any prme power q and s = q + 1, we always get an asymptotc mprovement on the prevously best star dscrepancy bound for a (T, s)-sequence n base q by usng the constructon n Theorem 3.7.

16 94 H. Nederreter and F. Özbudak Example 5.2. Let q = 3, g = 2, s = 8, and F = F 3 (x, y) wth y 2 = x 6 x (cf. [13, Example 3.2] and [15, Table 4.2.1, F.13]). Then F s a global functon feld wth full constant feld F 3 and the genus of F s 2. Moreover, N 1 (F) = 8 and N 2 (F) = 2. Therefore F satsfes Assumpton 3.1. By Corollary 4.4, we obtan the coeffcent B 8 (3, 2) of the leadng term n the star dscrepancy bound. On the other hand, the smallest known t-value of a (t, 8)-sequence n base 3 s t = 3 (see [8, Table 1] and [16]). By Remark 4.5, ths yelds the coeffcent C 8 (3, 3) of the leadng term n the star dscrepancy bound. We have B 8 (3, 2) < C 8 (3, 3). Example 5.3. Let q = 3, g = 4, s = 12, and F = F 3 (x, y) wth y 3 y = x3 x (x 2 + 1) 2 (cf. [13, Example 3.4]). Then F s a global functon feld wth full constant feld F 3 such that the genus of F s 4 and N 1 (F) = 12. Moreover, N 2 (F) 1 snce x 2 +1 s totally ramfed n the extenson F/F 3 (x). Therefore F satsfes Assumpton 3.1. By Corollary 4.4, we obtan the coeffcent B 12 (3, 4) of the leadng term n the star dscrepancy bound. On the other hand, the smallest known t-value of a (t, 12)-sequence n base 3 s t = 5 (see [8, Table 1] and [16]). By Remark 4.5, ths yelds the coeffcent C 12 (3, 5) of the leadng term n the star dscrepancy bound. We have B 12 (3, 4) < C 12 (3, 5). Example 5.4. Let q = 5, g = 1, s = 10, and F = F 5 (x, y) wth y 2 = 3(x 4 + 2) (cf. [13, Example 5.1]). Then F s a global functon feld wth full constant feld F 5 such that the genus of F s 1 and N 1 (F) = 10. Moreover, N 2 (F) 1 snce there s a place of F of degree 2 lyng over the nfnte place of the ratonal functon feld F 5 (x). Therefore F satsfes Assumpton 3.1. By Corollary 4.4, we obtan the coeffcent B 10 (5, 1) of the leadng term n the star dscrepancy bound. On the other hand, the smallest known t-value of a (t, 10)-sequence n base 5 s t = 2 (see [8, Table 1] and [16]). By Remark 4.5, ths yelds the coeffcent C 10 (5, 2) of the leadng term n the star dscrepancy bound. We have B 10 (5, 1) < C 10 (5, 2). Example 5.5. Let q = 8, g = 3, s = 24. Then t s shown n [14, Example 4.2] that there exsts a global functon feld F wth full constant feld F 8 such that the genus of F s 3 and N 1 (F) = 24. Moreover, N 2 (F) 1 snce t s noted n [14, Example 4.2] that x 2 +x+1 s totally ramfed n the extenson F/F 8 (x). Therefore F satsfes Assumpton 3.1. By Corollary 4.4, we obtan the coeffcent B 24 (8, 3) of the leadng term n the star dscrepancy bound. On the other hand, the smallest known t-value of a (t, 24)-sequence n base 8

17 Low-dscrepancy sequences 95 s t = 4 accordng to [16]. By Remark 4.5, ths yelds the coeffcent C 24 (8, 4) of the leadng term n the star dscrepancy bound. We have B 24 (8, 3) < C 24 (8, 4). Example 5.6. Let q = 8, g = 7, s = 34, and F = F 8 (x, y 1, y 2 ) wth y1 2 + y 1 = 1 x + w(x + w3 ) x 2 + w 5 x + w, y2 2 + y 2 = 1 x + w2 (x + w 6 ) x 2 + w 3 x + w 2, where w F 8 wth w 3 +w+1 = 0 (cf. [17]). Then F s a global functon feld wth full constant feld F 8 and the genus of F s 7. Moreover, N 1 (F) = 34 and N 2 (F) = 14. Therefore F satsfes Assumpton 3.1. By Corollary 4.4, we obtan the coeffcent B 34 (8, 7) of the leadng term n the star dscrepancy bound. On the other hand, the smallest known t-value of a (t, 34)-sequence n base 8 s t = 8 accordng to [16]. By Remark 4.5, ths yelds the coeffcent C 34 (8, 8) of the leadng term n the star dscrepancy bound. We have B 34 (8, 7) < C 34 (8, 8). Example 5.7. Let q = 9, g = 5, s = 32, and F = F 9 (x, y 1, y 2, y 3 ) wth y 2 1 = x(x + w), y 2 2 = (x + 1)(x + w 3 ), y 2 3 = (x + w 6 )(x + w 7 ), where w F 9 wth w 2 +2w+2 = 0 (cf. [17]). Then F s a global functon feld wth full constant feld F 9 and the genus of F s 5. Moreover, N 1 (F) = 32 and N 2 (F) = 12. Therefore F satsfes Assumpton 3.1. By Corollary 4.4, we obtan the coeffcent B 32 (9, 5) of the leadng term n the star dscrepancy bound. On the other hand, the smallest known t-value of a (t, 32)-sequence n base 9 s t = 6 accordng to [16]. By Remark 4.5, ths yelds the coeffcent C 32 (9, 6) of the leadng term n the star dscrepancy bound. We have B 32 (9, 5) < C 32 (9, 6). Table 1. Numercal comparson of our mprovements for some values s q C s (q) B s (q)

18 96 H. Nederreter and F. Özbudak For a prme power q and an nteger s 2, let C s (q) = C s (q, t 0 ) wth the smallest currently known t-value t 0 of a (t, s)-sequence n base q accordng to [16]. Let B s (q) = B s (q, g) wth g as n the examples above. In Table 1, we llustrate our mprovements by comparng C s (q) and B s (q) numercally usng Examples Acknowledgments. Ths research was supported by the DSTA grant R wth Temasek Laboratores n Sngapore. The second author would lke to express hs thanks to Temasek Laboratores and the Department of Mathematcs at the Natonal Unversty of Sngapore for the hosptalty. References [1] C. Chevalley, Introducton to the Theory of Algebrac Functons of One Varable, Amer. Math. Soc., Provdence, RI, [2] P. Krtzer, Improved upper bounds on the star dscrepancy of (t, m, s)-nets and (t, s)- sequences, J. Complexty 22 (2006), [3] G. Larcher and H. Nederreter, Generalzed (t, s)-sequences, Kronecker-type sequences, and dophantne approxmatons of formal Laurent seres, Trans. Amer. Math. Soc. 347 (1995), [4] D. J. S. Mayor and H. Nederreter, A new constructon of (t, s)-sequences and some mproved bounds on ther qualty parameter, Acta Arth. 128 (2007), [5] H. Nederreter, Pont sets and sequences wth small dscrepancy, Monatsh. Math. 104 (1987), [6], Random Number Generaton and Quas-Monte Carlo Methods, SIAM, Phladelpha, [7], Hgh-dmensonal numercal ntegraton, n: Appled Mathematcs Enterng the 21st Century: Invted Talks from the ICIAM 2003 Congress, J. M. Hll and R. Moore (eds.), SIAM, Phladelpha, 2004, [8], Constructons of (t, m, s)-nets and (t, s)-sequences, Fnte Felds Appl. 11 (2005), [9], Nets, (t, s)-sequences, and codes, n: Monte Carlo and Quas-Monte Carlo Methods 2006, A. Keller, S. Henrch, and H. Nederreter (eds.), Sprnger, Berln, to appear. [10] H. Nederreter and F. Özbudak, Constructons of dgtal nets usng global functon felds, Acta Arth. 105 (2002), [11] H. Nederreter and G. Prsc, Dualty for dgtal nets and ts applcatons, bd. 97 (2001), [12] H. Nederreter and C. P. Xng, Low-dscrepancy sequences and global functon felds wth many ratonal places, Fnte Felds Appl. 2 (1996), [13],, Cyclotomc functon felds, Hlbert class felds, and global functon felds wth many ratonal places, Acta Arth. 79 (1997), [14],, Algebrac curves wth many ratonal ponts over fnte felds of characterstc 2, n: Number Theory n Progress, K. Győry, H. Iwanec, and J. Urbanowcz (eds.), de Gruyter, Berln, 1999,

19 Low-dscrepancy sequences 97 [15] H. Nederreter and C. P. Xng, Ratonal Ponts on Curves over Fnte Felds: Theory and Applcatons, Cambrdge Unv. Press, Cambrdge, [16] R. Schürer and W. Ch. Schmd, MnT: A database for optmal net parameters, n: Monte Carlo and Quas-Monte Carlo Methods 2004, H. Nederreter and D. Talay (eds.), Sprnger, Berln, 2006, ; updated onlne at [17] S. Sémrat, 2-extensons wth many ponts, arxv:math.nt/ v1. [18] H. Stchtenoth, Algebrac Functon Felds and Codes, Sprnger, Berln, [19] C. P. Xng and H. Nederreter, A constructon of low-dscrepancy sequences usng global functon felds, Acta Arth. 73 (1995), Department of Mathematcs Natonal Unversty of Sngapore 2 Scence Drve 2 Sngapore , Republc of Sngapore E-mal: ned@math.nus.edu.sg Temasek Laboratores Natonal Unversty of Sngapore 5 Sports Drve 2 Sngapore , Republc of Sngapore and Department of Mathematcs Mddle East Techncal Unversty Ankara 06531, Turkey E-mal: ozbudak@metu.edu.tr Receved on and n revsed form on (5415)

8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS

8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS SECTION 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS 493 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS All the vector spaces you have studed thus far n the text are real vector spaces because the scalars

More information

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

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

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

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

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

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

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

2.3 Nilpotent endomorphisms

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

More information

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

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

More information

Subset Topological Spaces and Kakutani s Theorem

Subset Topological Spaces and Kakutani s Theorem MOD Natural Neutrosophc Subset Topologcal Spaces and Kakutan s Theorem W. B. Vasantha Kandasamy lanthenral K Florentn Smarandache 1 Copyrght 1 by EuropaNova ASBL and the Authors Ths book can be ordered

More information

A CHARACTERIZATION OF ADDITIVE DERIVATIONS ON VON NEUMANN ALGEBRAS

A CHARACTERIZATION OF ADDITIVE DERIVATIONS ON VON NEUMANN ALGEBRAS Journal of Mathematcal Scences: Advances and Applcatons Volume 25, 2014, Pages 1-12 A CHARACTERIZATION OF ADDITIVE DERIVATIONS ON VON NEUMANN ALGEBRAS JIA JI, WEN ZHANG and XIAOFEI QI Department of Mathematcs

More information

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

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

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

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

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

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

Convexity preserving interpolation by splines of arbitrary degree

Convexity preserving interpolation by splines of arbitrary degree Computer Scence Journal of Moldova, vol.18, no.1(52), 2010 Convexty preservng nterpolaton by splnes of arbtrary degree Igor Verlan Abstract In the present paper an algorthm of C 2 nterpolaton of dscrete

More information

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

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

Randić Energy and Randić Estrada Index of a Graph

Randić Energy and Randić Estrada Index of a Graph EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 5, No., 202, 88-96 ISSN 307-5543 www.ejpam.com SPECIAL ISSUE FOR THE INTERNATIONAL CONFERENCE ON APPLIED ANALYSIS AND ALGEBRA 29 JUNE -02JULY 20, ISTANBUL

More information

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

12 MATH 101A: ALGEBRA I, PART C: MULTILINEAR ALGEBRA. 4. Tensor product

12 MATH 101A: ALGEBRA I, PART C: MULTILINEAR ALGEBRA. 4. Tensor product 12 MATH 101A: ALGEBRA I, PART C: MULTILINEAR ALGEBRA Here s an outlne of what I dd: (1) categorcal defnton (2) constructon (3) lst of basc propertes (4) dstrbutve property (5) rght exactness (6) localzaton

More information

On Finite Rank Perturbation of Diagonalizable Operators

On Finite Rank Perturbation of Diagonalizable Operators Functonal Analyss, Approxmaton and Computaton 6 (1) (2014), 49 53 Publshed by Faculty of Scences and Mathematcs, Unversty of Nš, Serba Avalable at: http://wwwpmfnacrs/faac On Fnte Rank Perturbaton of Dagonalzable

More information

The lower and upper bounds on Perron root of nonnegative irreducible matrices

The lower and upper bounds on Perron root of nonnegative irreducible matrices Journal of Computatonal Appled Mathematcs 217 (2008) 259 267 wwwelsevercom/locate/cam The lower upper bounds on Perron root of nonnegatve rreducble matrces Guang-Xn Huang a,, Feng Yn b,keguo a a College

More information

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

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

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons

More information

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

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

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

Chowla s Problem on the Non-Vanishing of Certain Infinite Series and Related Questions

Chowla s Problem on the Non-Vanishing of Certain Infinite Series and Related Questions Proc. Int. Conf. Number Theory and Dscrete Geometry No. 4, 2007, pp. 7 79. Chowla s Problem on the Non-Vanshng of Certan Infnte Seres and Related Questons N. Saradha School of Mathematcs, Tata Insttute

More information

A note on almost sure behavior of randomly weighted sums of φ-mixing random variables with φ-mixing weights

A note on almost sure behavior of randomly weighted sums of φ-mixing random variables with φ-mixing weights ACTA ET COMMENTATIONES UNIVERSITATIS TARTUENSIS DE MATHEMATICA Volume 7, Number 2, December 203 Avalable onlne at http://acutm.math.ut.ee A note on almost sure behavor of randomly weghted sums of φ-mxng

More information

The Minimum Universal Cost Flow in an Infeasible Flow Network

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

More information

DONALD M. DAVIS. 1. Main result

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

More information

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

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

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

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

More information

J. Number Theory 130(2010), no. 4, SOME CURIOUS CONGRUENCES MODULO PRIMES

J. Number Theory 130(2010), no. 4, SOME CURIOUS CONGRUENCES MODULO PRIMES J. Number Theory 30(200, no. 4, 930 935. SOME CURIOUS CONGRUENCES MODULO PRIMES L-Lu Zhao and Zh-We Sun Department of Mathematcs, Nanjng Unversty Nanjng 20093, People s Republc of Chna zhaollu@gmal.com,

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

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

Polynomials. 1 More properties of polynomials

Polynomials. 1 More properties of polynomials Polynomals 1 More propertes of polynomals Recall that, for R a commutatve rng wth unty (as wth all rngs n ths course unless otherwse noted), we defne R[x] to be the set of expressons n =0 a x, where a

More information

arxiv: v4 [math.ac] 20 Sep 2013

arxiv: v4 [math.ac] 20 Sep 2013 arxv:1207.2850v4 [math.ac] 20 Sep 2013 A SURVEY OF SOME RESULTS FOR MIXED MULTIPLICITIES Le Van Dnh and Nguyen Ten Manh Truong Th Hong Thanh Department of Mathematcs, Hano Natonal Unversty of Educaton

More information

NUMERICAL DIFFERENTIATION

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

More information

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

Linear Algebra and its Applications

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

More information

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS BOUNDEDNESS OF THE IESZ TANSFOM WITH MATIX A WEIGHTS Introducton Let L = L ( n, be the functon space wth norm (ˆ f L = f(x C dx d < For a d d matrx valued functon W : wth W (x postve sem-defnte for all

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

Zhi-Wei Sun (Nanjing)

Zhi-Wei Sun (Nanjing) Acta Arth. 1262007, no. 4, 387 398. COMBINATORIAL CONGRUENCES AND STIRLING NUMBERS Zh-We Sun Nanng Abstract. In ths paper we obtan some sophstcated combnatoral congruences nvolvng bnomal coeffcents and

More information

DISCRIMINANTS AND RAMIFIED PRIMES. 1. Introduction A prime number p is said to be ramified in a number field K if the prime ideal factorization

DISCRIMINANTS AND RAMIFIED PRIMES. 1. Introduction A prime number p is said to be ramified in a number field K if the prime ideal factorization DISCRIMINANTS AND RAMIFIED PRIMES KEITH CONRAD 1. Introducton A prme number p s sad to be ramfed n a number feld K f the prme deal factorzaton (1.1) (p) = po K = p e 1 1 peg g has some e greater than 1.

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

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

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

More information

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION Advanced Mathematcal Models & Applcatons Vol.3, No.3, 2018, pp.215-222 ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EUATION

More information

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

On quasiperfect numbers

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

More information

On the 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

Differential Polynomials

Differential Polynomials JASS 07 - Polynomals: Ther Power and How to Use Them Dfferental Polynomals Stephan Rtscher March 18, 2007 Abstract Ths artcle gves an bref ntroducton nto dfferental polynomals, deals and manfolds and ther

More information

= = = (a) Use the MATLAB command rref to solve the system. (b) Let A be the coefficient matrix and B be the right-hand side of the system.

= = = (a) Use the MATLAB command rref to solve the system. (b) Let A be the coefficient matrix and B be the right-hand side of the system. Chapter Matlab Exercses Chapter Matlab Exercses. Consder the lnear system of Example n Secton.. x x x y z y y z (a) Use the MATLAB command rref to solve the system. (b) Let A be the coeffcent matrx and

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

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

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

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

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

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

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

STEINHAUS PROPERTY IN BANACH LATTICES

STEINHAUS PROPERTY IN BANACH LATTICES DEPARTMENT OF MATHEMATICS TECHNICAL REPORT STEINHAUS PROPERTY IN BANACH LATTICES DAMIAN KUBIAK AND DAVID TIDWELL SPRING 2015 No. 2015-1 TENNESSEE TECHNOLOGICAL UNIVERSITY Cookevlle, TN 38505 STEINHAUS

More information

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

arxiv: v6 [math.nt] 23 Aug 2016

arxiv: v6 [math.nt] 23 Aug 2016 A NOTE ON ODD PERFECT NUMBERS JOSE ARNALDO B. DRIS AND FLORIAN LUCA arxv:03.437v6 [math.nt] 23 Aug 206 Abstract. In ths note, we show that f N s an odd perfect number and q α s some prme power exactly

More information

Notes on Frequency Estimation in Data Streams

Notes on Frequency Estimation in Data Streams Notes on Frequency Estmaton n Data Streams In (one of) the data streamng model(s), the data s a sequence of arrvals a 1, a 2,..., a m of the form a j = (, v) where s the dentty of the tem and belongs to

More information

Dirichlet s Theorem In Arithmetic Progressions

Dirichlet s Theorem In Arithmetic Progressions Drchlet s Theorem In Arthmetc Progressons Parsa Kavkan Hang Wang The Unversty of Adelade February 26, 205 Abstract The am of ths paper s to ntroduce and prove Drchlet s theorem n arthmetc progressons,

More information

MEM 255 Introduction to Control Systems Review: Basics of Linear Algebra

MEM 255 Introduction to Control Systems Review: Basics of Linear Algebra MEM 255 Introducton to Control Systems Revew: Bascs of Lnear Algebra Harry G. Kwatny Department of Mechancal Engneerng & Mechancs Drexel Unversty Outlne Vectors Matrces MATLAB Advanced Topcs Vectors A

More information

Lecture 20: Lift and Project, SDP Duality. Today we will study the Lift and Project method. Then we will prove the SDP duality theorem.

Lecture 20: Lift and Project, SDP Duality. Today we will study the Lift and Project method. Then we will prove the SDP duality theorem. prnceton u. sp 02 cos 598B: algorthms and complexty Lecture 20: Lft and Project, SDP Dualty Lecturer: Sanjeev Arora Scrbe:Yury Makarychev Today we wll study the Lft and Project method. Then we wll prove

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

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

MULTIPLICATIVE FUNCTIONS: A REWRITE OF ANDREWS CHAPTER 6

MULTIPLICATIVE FUNCTIONS: A REWRITE OF ANDREWS CHAPTER 6 MULTIPLICATIVE FUNCTIONS: A REWRITE OF ANDREWS CHAPTER 6 In these notes we offer a rewrte of Andrews Chapter 6. Our am s to replace some of the messer arguments n Andrews. To acheve ths, we need to change

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

General viscosity iterative method for a sequence of quasi-nonexpansive mappings

General viscosity iterative method for a sequence of quasi-nonexpansive mappings Avalable onlne at www.tjnsa.com J. Nonlnear Sc. Appl. 9 (2016), 5672 5682 Research Artcle General vscosty teratve method for a sequence of quas-nonexpansve mappngs Cuje Zhang, Ynan Wang College of Scence,

More information

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

Bernoulli Numbers and Polynomials

Bernoulli Numbers and Polynomials Bernoull Numbers and Polynomals T. Muthukumar tmk@tk.ac.n 17 Jun 2014 The sum of frst n natural numbers 1, 2, 3,..., n s n n(n + 1 S 1 (n := m = = n2 2 2 + n 2. Ths formula can be derved by notng that

More information

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction ECONOMICS 5* -- NOTE (Summary) ECON 5* -- NOTE The Multple Classcal Lnear Regresson Model (CLRM): Specfcaton and Assumptons. Introducton CLRM stands for the Classcal Lnear Regresson Model. The CLRM s also

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

On C 0 multi-contractions having a regular dilation

On C 0 multi-contractions having a regular dilation SUDIA MAHEMAICA 170 (3) (2005) On C 0 mult-contractons havng a regular dlaton by Dan Popovc (mşoara) Abstract. Commutng mult-contractons of class C 0 and havng a regular sometrc dlaton are studed. We prove

More information

P.P. PROPERTIES OF GROUP RINGS. Libo Zan and Jianlong Chen

P.P. PROPERTIES OF GROUP RINGS. Libo Zan and Jianlong Chen Internatonal Electronc Journal of Algebra Volume 3 2008 7-24 P.P. PROPERTIES OF GROUP RINGS Lbo Zan and Janlong Chen Receved: May 2007; Revsed: 24 October 2007 Communcated by John Clark Abstract. A rng

More information

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

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

A p-adic PERRON-FROBENIUS THEOREM

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

More information

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

= 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

Geometry of Müntz Spaces

Geometry of Müntz Spaces WDS'12 Proceedngs of Contrbuted Papers, Part I, 31 35, 212. ISBN 978-8-7378-224-5 MATFYZPRESS Geometry of Müntz Spaces P. Petráček Charles Unversty, Faculty of Mathematcs and Physcs, Prague, Czech Republc.

More information

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

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

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

More information

Games of Threats. Elon Kohlberg Abraham Neyman. Working Paper

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

More information

SPECTRAL PROPERTIES OF IMAGE MEASURES UNDER THE INFINITE CONFLICT INTERACTION

SPECTRAL PROPERTIES OF IMAGE MEASURES UNDER THE INFINITE CONFLICT INTERACTION SPECTRAL PROPERTIES OF IMAGE MEASURES UNDER THE INFINITE CONFLICT INTERACTION SERGIO ALBEVERIO 1,2,3,4, VOLODYMYR KOSHMANENKO 5, MYKOLA PRATSIOVYTYI 6, GRYGORIY TORBIN 7 Abstract. We ntroduce the conflct

More information

ON THE JACOBIAN CONJECTURE

ON THE JACOBIAN CONJECTURE v v v Far East Journal of Mathematcal Scences (FJMS) 17 Pushpa Publshng House, Allahabad, Inda http://www.pphm.com http://dx.do.org/1.17654/ms1111565 Volume 11, Number 11, 17, Pages 565-574 ISSN: 97-871

More information

The internal structure of natural numbers and one method for the definition of large prime numbers

The internal structure of natural numbers and one method for the definition of large prime numbers The nternal structure of natural numbers and one method for the defnton of large prme numbers Emmanul Manousos APM Insttute for the Advancement of Physcs and Mathematcs 3 Poulou str. 53 Athens Greece Abstract

More information

The Expectation-Maximization Algorithm

The Expectation-Maximization Algorithm The Expectaton-Maxmaton Algorthm Charles Elan elan@cs.ucsd.edu November 16, 2007 Ths chapter explans the EM algorthm at multple levels of generalty. Secton 1 gves the standard hgh-level verson of the algorthm.

More information

Representation theory and quantum mechanics tutorial Representation theory and quantum conservation laws

Representation theory and quantum mechanics tutorial Representation theory and quantum conservation laws Representaton theory and quantum mechancs tutoral Representaton theory and quantum conservaton laws Justn Campbell August 1, 2017 1 Generaltes on representaton theory 1.1 Let G GL m (R) be a real algebrac

More information

Spectral Graph Theory and its Applications September 16, Lecture 5

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

More information