On the Divisibility of Binomial Coefficients

Size: px
Start display at page:

Download "On the Divisibility of Binomial Coefficients"

Transcription

1 On the Dvsblty of Bnomal Coeffcents Sílva Casacuberta Pug Abstract We analyze an open problem n number theory regardng the dvsblty of bnomal coeffcents. It s conjectured that for every nteger n there exst prmes p and r such that f 1 k n 1 then the bnomal coeffcent ( n s dvsble by at least one of p or r. We prove the valdty of the conjecture n several cases and obtan nequaltes under whch the conjecture s satsfed. We relate the problem to Cramér s, Oppermann s and Remann s conjectures on prme gaps and study cases n whch the conjecture s true usng three prmes nstead of two. We also establsh four upper bounds on the mnmum number of prmes needed for the conjecture to be true. 1 Introducton Apart from ther many uses n varous felds of mathematcs, bnomal coeffcents dsplay nterestng dvsblty propertes. Kummer s [8] and Lucas [10] Theorems are two remarkable results relatng bnomal coeffcents and prme numbers. Kummer s Theorem provdes an easy way to determne the hghest power of a prme that dvdes a bnomal coeffcent, and Lucas Theorem yelds the remander of the dvson of a bnomal coeffcent by a prme number. Davs and Webb [4] found a generalzaton of Lucas Theorem for prme powers. Legendre [9] found two expressons for the largest power of a prme p that dvdes the factoral n! of a gven nteger n. However, some conjectures about bnomal coeffcents stll reman unproven. We focus on the followng condton consdered by Shareshan and Woodroofe n a recent paper [13]: Condton 1. For a postve nteger n, there exst prmes p and r such that, for all ntegers k wth 1 k n 1, the bnomal coeffcent ( n s dvsble by at least one of p or r. Ths condton leads to the followng queston: Queston 1.1. Does Condton 1 hold for every postve nteger n? In [13] t s conjectured that Condton 1 s true for all postve ntegers, yet there s no known proof. Shareshan and Woodroofe construct a chan of mplcatons n group theory that lead to Condton 1. We tackle ths problem usng manly number theory, although some lnks wth group theory are made. We also ntroduce the followng varaton of Condton 1, whch we study later n ths paper: 1

2 Defnton 1.2. A postve nteger n satsfes the N-varaton of Condton 1 f there exsts a set consstng of N dfferent prmes such that f 1 k n 1 then the bnomal coeffcent ( n s dvsble by at least one of the N prmes. Ths paper s organzed as follows. After provdng background nformaton n Secton 2, we prove that n satsfes Condton 1 f t s a product of two prme powers and also f t satsfes a certan nequalty regardng the largest prme smaller than n. Next we provde bounds related to the prme power dvsors of n and dscuss several cases n whch n satsfes Condton 1 dependng on the largest prme smaller than n/2. In Secton 6 and Secton 7 we use prme gap conjectures n order to settle some cases n whch a suffcently large nteger n satsfes Condton 1, and dscuss cases n whch n satsfes the 3-varaton of Condton 1. Fnally, n Secton 8 we provde upper bounds for a number N so that all ntegers n satsfy the N-varaton of Condton 1, followed by computatonal results and a generalzaton of Condton 1 to multnomals. 2 Background Three theorems about dvsblty of bnomal coeffcents and factorals are relevant for the proofs gven n ths paper. Theorem 2.1. (Kummer [8]) Let k and n be ntegers wth 0 k n. If α s a postve nteger and p a prme, then p α dvdes ( n f and only f α carres are needed when addng k and n k n base p. Theorem 2.2. (Lucas [10]) Let m and n be postve ntegers, let p be a prme, and let m = m k p k + m k 1 p k m 1 p + m 0 and n = n k p k + n k 1 p k n 1 p + n 0 be the base p expansons of m and n respectvely. Then ( m n) k ( m ) =0 n (mod p). It s mportant to notce that by conventon ( m n) = 0 f m < n. Hence, f any of the dgts of the base p representaton of m s 0 whereas the correspondng dgt of the base p representaton of k s not 0, then ( ) m k s dvsble by p because everythng s multpled by zero and by Lucas Theorem we have that ( ) m k 0 (mod p). Theorem 2.3. (Legendre [9]) If v p (n) denotes the maxmum power α of p such that p α dvdes n, then v p (n!) = n. k=1 p k Here x denotes the nteger part of x. Moreover, Legendre also showed that v p (n!) = n S p(n), p 1 where S p (n) denotes the sum of all the dgts n the base p expanson of n. 2

3 3 Some cases of n satsfyng Condton When n s a prme power Proposton 3.1. A postve nteger n satsfes the 1-varaton of Condton 1 wth p f and only f n = p α for some α > 0, for α N. α zeroes {}}{ Any k Proof. If n = p α, then the base p representaton of n s equal to 1 such that 1 k n 1 has at most α 1 zeroes n base p. Therefore, at least one of the dgts of the base p representaton of k s bgger than the correspondng dgt of ( n n base p (at least the leadng one). It then follows from Lucas Theorem that n ) k s dvsble by p. Otherwse, f n s not a prme power, then the th dgt of n n base p s not 0 for some value of. Thus, we can fnd at least one k such that the th dgt of k n base p s larger than 0. Hence, by Lucas Theorem ( n s not dvsble by p. Corollary 3.2. If n = p α + 1, then n satsfes Condton 1 wth p and any prme factor of n. Proof. The proof reles on the fact that ( ) ( m k + m ) ( k+1 = m+1 k+1) for all postve ntegers ( m and k. If m s a power of a prme p, then t follows from Proposton 3.1 that m ) ( k and m ) ( are dvsble by p f 1 k m 1. In these cases, because m+1 k+1 k+1) s the result of the sum of two multples of p, t also s a multple of p. When k = 1 or k = m, we have that ( ) m+1 k = m + 1, so any prme factor of m + 1 dvdes t. Corollary 3.3. If H s a proper subgroup of the alternatng group A n and n s a power of a prme p then the ndex [A n : H] s dvsble by p. Proof. As observed n [13], t s enough to prove ths clam when the subgroup H s maxmal, and n ths case, the ndex s ether ( n for some k or a multple of t, as shown n [13]. 3.2 When n s a product of two prme powers Proposton 3.4. If a postve nteger n s equal to the product of two prme powers p α 1 and p β 2, then n satsfes Condton 1 wth p 1 and p 2. Proof. Observe that lcm(p α 1, p β 2) = n. The base p 1 representaton of n ends n α zeroes and the base p 2 representaton of n ends n β zeroes. Because any postve k smaller than n cannot be dvsble by both p α 1 and p β 2, t s not possble that k fnshes wth α zeroes n base p 1 and β zeroes n base p 2. Thus, we can apply Lucas Theorem modulo the prme p 1 f p α 1 k or modulo the prme p 2 f p β 2 k. Corollary 3.5. Let n = p α 1 p β 2 and H be a proper subgroup of A n. Then the ndex [An : H] s dvsble by at least one of p 1 or p 2. 3

4 3.3 Consderng the closest prme to n Theorem 3.6. Let q be the largest prme smaller than n and let p a be any prme factor dvsor of n. If n q < p a, then n satsfes Condton 1 wth p and q. For the proofs of Theorem 3.4 and Corollary 3.6 we use the Bertrand-Chebyshev Theorem: Theorem 3.7. (Bertrand-Chebyshev [1]) For every nteger n > 3 there exsts a prme p such that n/2 < p < n. Proof of Theorem 3.4. We dstngush between two ntervals: the nterval (1, n q] and the nterval (n q, n]. Due to the symmetry of bnomal coeffcents, we only consder k n/2. By the Bertrand-Chebyshev Theorem, we know that there s at least one prme between n/2 and n, hence n/2 < q < n. Then, for all k, k < n/2 < q. The base q representaton of n s 1 q + (n q). Therefore, we do not need to consder the nterval (n q, n) because the last dgt of the base q representaton of any k > n q s larger than the last dgt of the base q representaton of n. Thus, by Lucas Theorem, the bnomal coeffcent ( n s dvsble by q. If there s no multple of p a n the nterval (1, n q), then by Lucas Theorem all the bnomal coeffcents ( n wth 1 k n/2 are dvsble by at least p or q. Moreover, equalty n Theorem 3.4 cannot hold because p a dvdes both p a and n, and hence q would not be a prme. Corollary 3.8. Let p a j j denote the largest prme power dvsor of an nteger n and q the closest prme to n. If n q < p a j j, then n satsfes Condton 1 wth p j and q. Note that f n satsfes Condton 1 then at least one of these two prmes has to be a prme factor of n, because otherwse ( n 1) = n s not dvsble by ether one of the two prmes. The only remanng cases are those n whch n q > p a and n s nether a prme nor a prme power. Let q 2 denote the largest prme smaller than n/2. By analyzng the ntegers that are part of these remanng cases, we notce that n usually satsfes Condton 1 wth the par formed by a prme factor of n and q 2. If we analyze the sx numbers smaller than 2,000 such that n q > p a, we see that the nequalty p a > n 2q 2 holds and q 2 and p satsfy Condton 1. Table 1 provdes evdence wth the only four numbers untl 1,000 that do not satsfy Condton 1 wth q and p. However, the sequence of all such ntegers s nfnte. The On-Lne Encyclopeda of Integer Sequences (OEIS) has accepted our submsson of ths sequence [2] wth the reference A

5 Number Prme factorzaton q q n q n 2q (1, n q] 2, 3, 4 2, 3, 4 2, 3, 4 2, 3, 4 (n q, n] 62, , , , 315 Pars that satsfy , 5-313, Table 1: Informaton about the four numbers below 1,000 that do not satsfy Condton 1 wth q and p. 4 Bounds for p a Before analyzng q and q 2 further, we establsh some bounds for p a n q > p a. Lemma 4.1. If n s not a prme and n q > p a, then pa < n/2. assumng that Proof. Usng the Bertrand-Chebyshev Theorem we see that n/2 > n q > 0. Also, n q > p a. Therefore, n/2 > pa. We can fnd an even lower bound for p a. In 1952, Nagura [11] showed that f n 25 then there s always a prme between n and (1 + 1/5)n. Therefore, we fnd that 5n/6 < q < n when n 30. Lemma 4.2. If n 30 s not a prme and n q > p a, then pa < n/6. The proof s the same as the one for Lemma 4.1. In 1976 Schoenfeld [14] showed that for n 2,010,760 there s always a prme between n and (1 + 1/16,597)n. Therefore, we know that f n > 2,010,882 then 16,597n 16,598 < q 2 < n. Shareshan and Woodroofe [13] checked computatonally that all ntegers smaller than 10 mllon satsfy Condton 1, whch means that we can apply Schoenfeld s bound. Lemma 4.3. If n s not a prme, n > 2,010,882 and n q > p a, then pa < n/16,598. The proof follows the same steps as the prevous two lemmas. Proposton 4.4. Let n = p a m. If n 2,010,882 and m < 16,598, then n satsfes Condton 1 wth p and q. Proof. By Schoenfeld s bound we know that n q < n/16,598. If m < 16,598, t means that p a > n/16,598. Thus, p a > n q and, by Theorem 3.4, q and p satsfy Condton 1. 5

6 5 When n q > p a > n 2q 2 In ths secton we analyze the ntegers n that satsfy the nequaltes n q > p a > n 2q 2, and we prove some cases n whch n satsfes Condton 1 wth p and q 2. The fact that we are consderng n 2q 2 comes from the base q 2 representaton of n. We dstngush between two cases: when k < q 2 and when k > q 2. The base q 2 representaton of n s 2 q 2 + (n 2q 2 ). The base q 2 representaton of k s 0 q 2 + k f k < q 2 and 1 q 2 + (k q 2 ) f k > q 2. Hence, there s no need to analyze the nterval (n 2q 2, q 2 ] because for all k such that n 2q 2 < k q 2, we can use Lucas Theorem to see that the bnomal coeffcent ( n s congruent to 0 modulo q2. Therefore, we only need to consder the nterval (q 2, n/2]. 5.1 If n s odd It s mportant to remark that f k s not a multple of p a ) then by Lucas Theorem s dvsble by p. Therefore, we only have to analyze the ntegers n (q 2, n/2] ( n k that are multples of p a. We then clam the followng: Theorem 5.1. If n s odd and n q > p a > n 2q 2, then n satsfes Condton 1 wth p and q 2. Proof. Snce n s odd, n/2 s not an nteger. Hence t s enough to prove that there s no multple of p aq q n the nterval (q r, n/2). We wll prove ths by contradcton. Thus assume that q r < λp aq q < n/2 for some nteger λ. Then λ (m 1)/2 f n = mp aq q, snce ((m 1)/2)p aq q s the largest multple of p aq q that s smaller than n/2 (note that m s odd because n s odd). Now from the nequalty ((m 1)/2)p aq q > q r t follows that n p aq q > 2q r and ths contradcts the assumpton that n 2q r < p aq q. 5.2 If n s even and p s not 2 Lemma 5.2. If n s even and p q 2, then the only multple of p aq q (q r, n/2] s n/2. n the nterval Proof. Snce p q 2, the nteger n/2 s stll a multple of p aq q. Hence we may wrte n/2 = λp aq q for some nteger λ. If there s another multple of p aq q between q r and n/2, then we have q r < (λ 1)p aq q < n/2, and ths mples that n/2 p aq q > q r. Hence n 2q r > 2p aq q > p aq q, whch s ncompatble wth our assumpton whch states that n 2q r < p aq q. Theorem 5.3. If 2 α s a prme power dvsor of n and 2 α satsfes n q > 2 α > n 2q 2, then n satsfes Condton 1 wth 2 and q 2. Proof. The nteger n has the factor 2 α n ts prme factorzaton, whch means that n/2 has the factor 2 α 1. The base 2 representaton of n has one more zero than the base 2 representaton of n/2, whch means that by Lucas Theorem ( n n/2) s congruent to 0 modulo 2 α. By Lemma 5.2, n/2 s the only multple of 2 α n the nterval (q 2, n/2]; hence the proof s complete. 6

7 5.3 If n s even and p s not 2 By Lemma 5.2 we only need to consder the central bnomal coeffcent ( n n/2), because the only multple of p a n the nterval (q 2, n/2] s n/2. We clam the followng proposton, usng Legendre s Theorem for ts proof. Proposton 5.4. The prme factor p dvdes ( n n/2) f and only f at least one of the fractons n/p α wth α 1 s odd. Proof. When we compare v p (n!) and v p ((n/2)!) we see that, for each α, n n/2 = 2 p α f n/p α s even. If n/p α s even for all α, we conclude that v p (n!) = 2v p ((n/2)!), and hence p does not dvde ( n n/2). However, f n/p α s odd, then p α n n/2 = Therefore, v p (n!) s greater than 2v p ((n/2)!). p α p α Corollary 5.5. Let S p (n) be the base p representaton of n. If n Sp(n) p 1 p dvdes ( n n/2). Corollary 5.5 s shown usng Legendre s formula. s odd then Corollary 5.6. If any of the dgts n the base p representaton of n/2 s larger than p /2, then the bnomal coeffcent ( n n/2) s dvsble by p. Corollary 5.7. If one of the dgts n the base p representaton of n s odd, then the prme p dvdes ( n n/2). Proof. The proofs of Corollares 5.6 and 5.7 are smlar. If a dgt of n/2 s larger than p /2, when we add n/2 to tself n base p to obtan n there at least one carry. Smlarly, f n has an odd dgt n base p, t means that there has been a carry when addng n/2 and n/2 n base p. By Kummer s Theorem wth k = n/2, f there s at least one carry when addng n/2 to tself n base p, then p dvdes the bnomal coeffcent ( n n/2). log(n) Proof. The largest α such that p α < n < p α+1 log(p Corollary 5.8. If p ) > n/2 and n q > p a > n 2q 2, then p dvdes ( ) n n/2 and therefore n satsfes Condton 1 wth p and q 2. s. Therefore, n Proposton 5.4, α s bounded by 1 α log(n) log(p ) exponent ( of p. If p n n/2) by Proposton 5.4. log(n) log(p ) log(n) log(p ). Also note that α a, where a s the > n/2 then n/p α = 1. Because ths s odd, p dvdes 7

8 5.4 Some cases n whch 2n mples n In ths secton we denote by p a k and q k any prme power factor of k and the largest prme smaller than k respectvely. For ntegers that satsfy the nequalty n q > p a > n 2q 2, we observe three cases n whch f 2n satsfes Condton 1 and p 2n 2, then n also satsfes Condton 1. Note that snce p s not 2, then p 2n = p n. Also, q 22n = q n. Therefore we clam: Clam 5.9. If 2n satsfes the nequalty 2n 2q 22n < 2n q 2n < p a 2n 2n, then n satsfes Condton 1 wth p and q. Proof. We rewrte the nequalty above as n q n < 2(n q n ) < 2n q 2n < p a n n. Therefore, n q n < p a n n, and, by Theorem 4.2, n satsfes Condton 1 wth the prmes p and q. Clam If 2n satsfes the nequalty 2n q 2n < 2n q 22n < p a 2n 2n, then n satsfes Condton 1 wth p and q. Clam If 2n satsfes the nequalty 2n 2q 22n satsfes Condton 1 wth p and q. < p a 2n 2n < 2n q 2n, then n The proofs of Clams 5.10 and 5.11 follow the same steps as the one of Clam Large multples of n satsfyng Condton 1 wth prme gap conjectures In ths secton we always denote the t th prme as ˆp t. 6.1 Cramér s Conjecture Conjecture 6.1. (Cramér [5]) There exst constants M and N such that f ˆp t N then ˆp t+1 ˆp t M(log ˆp t ) 2. We clam the followng: Proposton 6.2. If Cramér s conjecture s true, then for every postve nteger n and every prme p dvdng n, the number np k satsfes Condton 1 for all suffcently large values of k. Proof. Let M and N be the constants gven by Cramér s conjecture. Gven a postve nteger n whch s not a prme power and a prme dvsor p of n, we wrte n = mp a where p does not dvde m, and compare M(log nx) 2 wth p a x as x goes to nfnty. Usng L Hôptal s rule, we fnd that lm x p a x M(log nx) 2 = lm x p a nx 2Mn log nx = lm x = lm x p a nx 2Mn = lm x p a x 2M =. p a x 2M log nx 8

9 Therefore, p a x s bgger than M(log nx) 2 when x s suffcently large. Hence we can choose any k large enough so that p a+k > M(log np k ) 2 and furthermore, f q denotes the largest prme smaller than np k, then q N. Now, f r denotes the smallest prme larger than np k, we nfer that, f Cramér s conjecture holds, then, snce q N, Moreover np k q r q M(log q) 2. M(log q) 2 < M(log np k ) 2 < p a+k. Hence np k q < p a+k and, snce p a+k s the hghest power of p dvdng np k, Theorem 3.4 mples that np k satsfes Condton 1. Cramér s conjecture also proves the followng proposton: Proposton 6.3. Let m denote the number of dstnct prme factors of n. If Cramér s conjecture s true and n grows suffcently large keepng m fxed, then n satsfes Condton 1. Proof. If n has m dstnct prme factors, we defne the average prme factor of n as m n because f n were formed by m equal prme factors each one would equal m n. It s true that m n p a j j, where pa j j denotes the largest prme power dvsor of n. Hence we must see f M(log n) 2 < m n for large values of n. We apply agan L Hôptal s rule to compute the lmt lm x m nx M(log nx) 2 and we obtan that M(log n) 2 < m n holds when n s suffcently large. 6.2 Oppermann s Conjecture A weaker conjecture on prme gaps by Oppermann states the followng: Conjecture 6.4. (Oppermann [12]) For some constant M, ˆp t+1 ˆp t M ˆp t. Proposton 6.5. If Oppermann s conjecture s true, then for every postve nteger n and every prme p dvdng n, the number np k satsfes Condton 1 for all suffcently large values of k. Proof. The proof s smlar to the proof of Proposton 6.2. We apply L Hôptal s rule once to solve the ndetermnaton n lm x p a x M nx, where p a s the hghest power of p dvdng n. Snce the rato goes to nfnty our nequalty s satsfed, and by choosng x = p k wth k large enough the proof s complete. 9

10 6.3 Remann s Hypothess The followng conjecture s a consequence of Remann s Hypothess. Conjecture 6.6. (Remann [6]) For some constant M, ˆp t+1 ˆp t M(log ˆp t ) ˆp t. Ths bound can be used to prove the followng: Proposton 6.7. If Remann s conjecture s true, then for every postve nteger n and every prme p dvdng n, the number np k satsfes Condton 1 for all suffcently large values of k. Proof. We apply agan L Hôptal s rule to solve the ndetermnaton n lm x p a x M(log nx) nx The lmt goes to nfnty and hence, by choosng x = p k wth k large enough, the proof s complete. Due to the smlartes of the nequaltes, we skp the calculatons of Propostons 6.5 and Usng other prmes to satsfy Condton 1 In Sectons 3 and 5 we analyzed nequaltes nvolvng n q and n 2q 2. In general, for any postve nteger d, we can study the functon n dq d, where q d refers to the largest prme smaller than n/d (when wrtng q 1 we omtted the subndex 1). We consder the ntegers n that do not satsfy the nequalty p a > n 2q 2. Up to 1,000,000 there are only 88 ntegers that do not satsfy p a > n 2q 2. The On-Lne Encyclopeda of Integer Sequences (OEIS) has accepted our submsson of these numbers [3] wth the reference A Up to 1,000,000, there are 25 ntegers that do not satsfy the nequalty p a > n 3q 3 ; 7 ntegers that do not satsfy the nequalty p a > n 4q 4 ; 5 ntegers that do not satsfy the nequalty p a > n 5q 5, and only 1 nteger that does not satsfy the nequalty p a > n 6q 6. Fgure 1 shows the number of ntegers up to 1,000,000 that do not satsfy the nequalty p a > n dq d dependng on d. We also observe that the functon n dq d tends to 0 as d ncreases, whch means that t s lkely that at some pont the nequalty s acheved. Ths s explaned wth the propertes of the functon n/d, whch behaves n the same way as the functon 1/x except for the constant n. As d grows large, the dfference between n/d and n/(d + 1) grows smaller. Hence, the closest prme to n/d s the same one for all the n/d that are close. Then, when d ncreases, p d decreases much more slowly, and because t s multpled by d, whch grows lnearly, dp d tends to n. Fgure 2 shows how n dp d tends to 0 as d ncreases takng 330 as an example. All the ponts correspond to values of d such that p d satsfes Condton 1 wth another prme. Note that f n dp d s exactly zero then d s a dvsor of n such that n/d s a prme. Then there are two condtons that we use for p and q d to satsfy Condton 1. Condton 2. For any nteger n to satsfy Condton 1 wth p and q d we requre that p a > n dq d and n dq d < q d. 10

11 Fgure 1: Number of ntegers up to 1,000,000 that do not satsfy the nequalty p a > n dq d as a functon of d. Fgure 2: Decrease of n dp d for n = 330. When k s larger than p a, we rely on the fact that k s larger than n dq d to justfy that the bnomal coeffcent ( n s dvsble by qd usng Lucas Theorem unless f k s a multple of q d. However, f n dq d were larger than q d, when wrtng n n base q d the nequalty p a > n dq d would not hold. Lemma 7.1. If n 30 and d < 5, then n dq d < q d. Proof. By Lemma 4.2, f n 25, 5n/6d < q d < n/d. Therefore, n/6 > n dq d. 11

12 Now we need to show that q d > n dq d. It follows that n < q d + dq d and thus n < q d (1 + d). Usng Lemma 4.2, n < 5n(d + 1) 6d Therefore, 6d < 5d + 5 and we get that d < 5. < q d (1 + d). Lemma 7.2. If n 2,010,882 and d < 16,597, then n dq d < q d. The proof s the same one as the one for Lemma 7.1, except that by Lemma 4.3, the ntal nequalty s 16,597n/16,598d < q d < n/d. Corollary 7.3. The nteger d/2 q d s the largest multple of q d smaller than or equal to n/2. Proof. We apply the defnton of q d to obtan that n dq d. Assume, towards a contradcton, that n > q d (d+1). By Lemmas 7.1 and 7.2, n dq d < q d and therefore n < q d (d + 1). Ths contradcts the nequalty n > q d (d + 1). 7.1 The 3-varaton of Condton 1 In Secton 5 we proved that many ntegers that satsfy the nequaltes n q > p a > n 2q 2 also satsfy Condton 1 wth p and q 2. In ths secton we prove some cases n whch an nteger n satsfes the 3-varaton of Condton 1 (as stated n Defnton 1.2 n the Introducton). Theorem 7.4. If an even nteger n satsfes the nequalty n q > p a > n 2q 2 and p 2, then n satsfes the 3-varaton of Condton 1 wth p, q 2 and any prme that dvdes ( n n/2). Proof. In Secton 5.2 we show that f n satsfes the nequalty n q > p a > n 2q 2 and p s not 2, the only bnomal coeffcent we could not prove that was dvsble by ether p or q 2 s the central bnomal coeffcent. Thus, for such n to satsfy the 3-varaton of Condton 1 t suffces to add an extra prme that dvdes the central bnomal coeffcent Regardng the two hghest prme powers of n For any n, let q be the largest prme smaller than n, let p j be the prme factor of n such that p a j j s the largest prme power of n, and let p r be the prme factor of n such that p ar r s the second largest prme power dvsor of n. We then clam the followng: Proposton 7.5. If p a j j par r > n/6, then n satsfes the 3-varaton of Condton 1 wth p j, p r and q. 12

13 Proof. By Lucas Theorem, for any k such that 1 k p a j j, the bnomal coeffcent ( n ) k s dvsble by pj. For the same reason, by Lucas Theorem, for any k such that n q < k n/2 the bnomal coeffcent ( n s dvsble by pj. Then we need a prme that dvdes at least the bnomal coeffcents ( ) n a k wth p j j k n q such that k s a multple of p a j j. Now take p r as the thrd prme such that n mght satsfy the 3-varaton of Condton 1 wth p j, q and p r. For the same reasonng, n ths nterval we only consder the k that are multples of p ar r. The only k such that the bnomal coeffcent ( n s not dvsble by ether pj of p r are those k that are multples of both p a j j and p ar r. The least k that s multple of both prme powers s p a j j par r. By Lemma 4.2 we know that n q < n/6. Therefore, f p a j j par r > n/6, ths nteger s larger than n q and hence t s not part of the nterval that we are consderng. Thus, all the k lyng n the nterval p a j j k n q are such that the bnomal coeffcent ( n s dvsble by ether p j or p r. Moreover, usng the bounds descrbed n Lemma 4.2, we use the prmes p j, q and q d for n to satsfy the 3-varaton of Condton 1. Proposton 7.6. Let q d be the largest prme smaller than n/d. If q d > n/6, then n satsfes the 3-varaton of Condton 1 wth p j, q and q d. Proof. The prme q fals to dvde ( n only f 1 k n q. Smlarly, by Lucas Theorem, the prme q d fals to dvde ( n only f cqd k cq d + (n dq d ), where cq d refers to any postve multple of q d. Ths s because n dq d s the last dgt of the base q d representaton of n. But because by assumpton q d > n p j, the ntervals [1, n q] and [cq d, cq d + (n dq d )] are dsjont. 8 Bounds on the number of prmes needed to satsfy the N-varaton of Condton 1 For each postve nteger n, we are nterested n the mnmum number N of prmes such that n satsfes the N-varaton of Condton 1. In ths secton we provde four upper bounds for N. Because n all four bounds N s a functon of n, the sutablty of each bound depends on n; some bounds may be better for certan values of n. 8.1 Frst upper bound wth prme factors of n Clam 8.1. If n has m dfferent prme factors, then these prme factors satsfy the m-varaton of Condton 1. Proof. The proof s smlar to the one descrbed when n s a product of two prme powers. The smallest nteger dvsble by all the m prme powers of n s n. The base p representaton of all k < n has less zeroes than the base p representaton of n for at least one prme factor p of n. Usng Lucas Theorem, Clam 8.1 s proven. 13

14 8.2 Second upper bound wth d Proposton 8.2. Let q d be the largest prme smaller than n/d and let p a be any prme power dvsor of n such that p a > n dq d. If p a > q d + n dq d, then n satsfes the N-varaton of Condton 1 wth N = 2 + d/2. For the subsequent proofs we use the followng defnton: Defnton 8.3. Let cq d be any multple of q d and let β be n dq d. We call the nterval [cq d, cq d + β] a dangerous nterval. Note that for every tme that p a an extra prme. falls nto a dangerous nterval we need to add Proof. By Lucas Theorem all the bnomal coeffcents ( n are dvsble by qd except f k les n a dangerous nterval. In these dangerous ntervals we only consder the ntegers that are multples of p a because f k s not a multple of p a, then by Lucas Theorem the bnomal coeffcent ( ) n k s dvsble by p. Because p a > β we know that n any dangerous nterval there s at most one multple of p a. Ths means that the worst case s the one n whch there s a multple of p a n every dangerous nterval untl c d/2. Thus we need at most one extra prme each tme that there s a multple of p a n a dangerous nterval. Clam 8.4. If d < 5 and p a > q d + β, then n satsfes Condton 1 wth q d and p. Proof. If d < 5, then d/2 equals ether 1 or 2. If t equals one, then by assumpton p a > q d + β, whch means that no multple of p a falls n any dangerous nterval untl n/2. If d equals 2, then we need to check that 2p a > 2q d + β. Ths means that we want to see that the next multple of p a does not fall nto the second dangerous nterval. The mnmum value of p a such that our assumpton p a > q d + β holds s q d + β + 1. The next multple of q d + β + 1 s 2q d + 2β + 2. Ths last expresson s greater than 2q d + β, whch means that 2p a does not fall nto the second dangerous nterval. 8.3 Thrd upper bound In ths subsecton we consder the generalzaton of the cases that have been dscussed so far. Let d be a natural number and let q d be the largest prme number smaller or equal to n/d. Let β denote n dq d, let p a be any prme power dvsor of n, and let γ = p a cq d. In Sectons 8.3 and 8.4 we do not consder the cases n whch q d = p because the proofs hold by takng any other prme factor of n that s not p. Theorem 8.5. For all c 0, n satsfes the N-varaton of Condton 1 wth kγqd (c 1) N = 2 + β, γq d d where k =. 2q d γ 14

15 Proof. We frst consder the case n whch p a that p a form rp a = q d + γ and γ β. Ths means falls n the frst dangerous nterval. Any subsequent multple of p a s of the = rq d + rγ. Note that we only need to analyze rγ because ths s what falls n a dangerous nterval. determnes f p a Lemma 8.6. The prme power dvsor p a f rγ (mod q d ) β. falls nto a dangerous nterval f and only The proof of Lemma 8.6 comes from the defnton of a dangerous nterval (see Defnton 8.3). Now consder all the possble values of rγ modulo q d from γ untl γq d. Note the followng: Remark 8.7. The numbers γ and q d are always coprme. For the proof of the remark t suffces to see that q d s a prme number. Ths means that all the numbers from 1 to q d 1 appear exactly once n the nterval [γ, γq d ). Therefore, by Lemma 8.6 the number of ntegers that fall nto a dangerous nterval are those such that rγ (mod q d ) β. By Remark 8.7 we know there are only β such ntegers n the nterval [γ, γq d ). Thus, f γq d > d/2, we only need 2 + β prmes. We add 2 to β because we also need to count q d and p. Note that ths s an upper bound and therefore n some cases several of the prmes that we use for the dangerous ntervals are repeated. Now we consder the general case n whch p a = cq d + γ. We need to count the multples of γq d from cq d untl kγq d (k has the same defnton as n Theorem 7.1). Ths gves us the bound stated n Theorem 8.5. Note that, n Theorem 8.5, γ cannot be 0 because otherwse by defnton p would be equal to q d. Ths s a case that we are not consderng (see the begnnng of Secton 8.3). 8.4 Fourth upper bound wth Dophantne equatons We consder the Dophantne equaton p a k 1 q d α = δ, where 0 δ β. Let x = k 1 and let y = α. The general solutons of these Dophantne equaton dependng on the partcular solutons x 1 and y 1 are well-known: x = x 1 rq d y = y 1 + rp a Let ŷ(δ) denote the largest y d/2 dependng on δ. Note that for all y 1 (δ) we can add or subtract a certan number of p a untl we reach ŷ(δ). Theorem 8.8. All ntegers n satsfy the N-varaton of Condton 1 wth N = 2 + β ŷ(δ) δ=0 p a d 2 + (β + 1) 2p a. Proof. Note that the solutons of the Dophantne equaton correspond to all the cases n whch a multple of p a falls n some dangerous nterval. It s known that a Dophantne equaton ax+by = c has nfntely many solutons f gcd(a, b) dvdes c. 15

16 Therefore, for all δ such that 0 δ β there exsts a partcular soluton y 1 (δ) for y n Equaton 6 because gcd(p a, q d) = 1 (recall that we do not consder the case n whch p = q d ). Thus, for each ŷ(δ) we count the number of multples of p a n the nterval [1, ŷ(δ)]. Ths s the number of tmes that p a falls nto a dangerous nterval and hence we need to add an extra prme. We also add 2 to count p d and p. Moreover, note that by defnton ŷ(δ) d/2. Ths gves us the expresson stated n Theorem Computatonal results In order to obtan more nformaton about whch prmes make n satsfy Condton 1 we wrote some C++ programs. The results are presented n ths secton. 9.1 When we fx a prme In the orgnal artcle of Shareshan and Woodroofe [13], the authors computed the percentage of ntegers below 1,000,000 that satsfy Condton 1 f p 1 s fxed to be 2, and they found a percentage of 86.7%. We compute the percentage of ntegers untl 10,000 that satsfy Condton 1 fxng one prme to be not only 2 but also 3, 5, 7 and 11. Table 2 shows the number of ntegers below 10,000 that do not satsfy Condton 1 fxng one prme to be 2, 3, 5, 7 and 11 respectvely. It also shows the percentage of ntegers satsfyng Condton 1 fxng each prme. Fgure 3 shows the percentage of ntegers untl 10,000 that satsfy Condton 1 dependng on the fxed prme. Fxed prme Number of ntegers not satsfyng Percentage of ntegers satsfyng % 83.67% 73.74% 67.41% 58.20% Table 2: Number of ntegers that do not satsfy Condton 1 and percentage of ntegers that do satsfy Condton 1 fxng one prme untl 10, How many pars of prmes satsfy Condton 1 Gven a postve nteger n, multple pars of prmes p 1 and p 2 can satsfy Condton 1. We have found computatonally all the possble pars of prmes that satsfy Condton 1 wth a gven n 3,000. Ths fndngs helped us conjecture and then prove Theorem 3.4. Fgure 4 shows the data for n up to 3,000. We note four man tendences. The one wth the greatest slope corresponds to the one formed wth prme numbers and prme powers. Ths s explaned by Proposton 3.1. Because only one prme s needed to satsfy the 1-varaton of Condton 1 f n s a prme power, the other prme can be any prme smaller than n. Thus, ths frst tendency follows the functon f(n) = n/ log n dsregardng the prme powers [7]. The second greatest slope s formed wth even numbers that satsfy Condton 1 wth one prme beng 2. The thrd one s formed by numbers that satsfy Condton 1 wth one 16

17 Fgure 3: Percentage of ntegers untl 10,000 that satsfy Condton 1 fxng one prme to be 2, 3, 5, 7 and 11 respectvely. prme beng 3 and the followng one wth numbers that satsfy Condton 1 wth one prme beng 5. Fgure 4: Number of pars of prmes that satsfy Condton 1 dependng on the nteger n untl 3,000. In order to ft a functon for each curve, we approxmated the functon n/ log n for each branch usng Matlab, and we obtaned the followng functons: 17

18 Frst branch: 0.97n 0.96 (log n) 0.75 Second branch: 0.80n 0.96 (log n) 0.84 Thrd branch: 3.30n 1.14 (log n) 2.27 Fourth branch: 35.48n1.47 (log n) 4.81 Fgure 5 shows a plot of each separate branch wth ts correspondng curve. Fgure 5: The four branches of Fgure 4 separated and ftted wth a curve. 10 Multnomals We also consder a generalzaton of Condton 1 to multnomals. We nvestgate the followng condton that some nteger n mght satsfy: Condton 3. For a gven fxed nteger m there exst prmes p 1 and p 2 such that whenever k k m = n for 1 k n 1, ( ) n k 1,k 2,...,k m s dvsble by ether p1 or p 2. A very natural queston follows: Queston Does Condton 3 hold for all postve ntegers n? Here we show that Condton 1 mples Condton 3. We clam the followng: Proposton If n satsfes Condton 1 wth p 1 and p 2, then n also satsfes Condton 3 wth these two prmes and any m n. Proof. We assume that p 1 and p 2 satsfy Condton 1 for a gven n. We then take the multnomal ( ) n n! = k 1, k 2,..., k m k 1!k 2! k m! 18

19 wth the same n and any m n. We see that we can decompose the multnomal nto a product of m bnomals: n! k 1!k 2! k m! = n(n 1) (n k 1 + 1). k 1! (n k 1 )(n k 1 1) (n k 1 k 2 + 1) (k m 1 + k m )(k m 1 + k m 1) 1 k 2! (k m 1!k m! ( )( ) ( ) n n k1 1 km 1 + k m =. k 1 k 2 Because by assumpton ( ) m k 1 s dvsble by ether p1 or p 2, the prevous multnomal coeffcent s also dvsble by at least one of them. Ths decomposton can be used for any m and the frst bnomal coeffcent can be ( ) n k, k beng any of the k n the denomnator. Therefore, f Condton 1 s proven for bnomal coeffcents, then t automatcally holds for multnomal coeffcents. k m 11 Conclusons In ths paper we have obtaned results that sgnfcantly contrbute to the unsolved conjecture that motvated our research (see Condton 1 n the Introducton), whch was proposed n a recent artcle by Shareshan and Woodroofe [13]. After havng obtaned all these research results, we have analyzed how much we have contrbuted to the open problem addressed n ths paper. Up to 1,000,000, there are less than 50 numbers that do not ft nto any of the cases that we have solved. We consder ths to be a very substantal outcome. Moreover, our proofs concernng prme gap conjectures potentally have stronger mplcatons, as we beleve that we are very close to provng that all ntegers larger than a fxed constant satsfy Condton 1. Acknowledgements I would lke to express my grattude towards my mentor Oscar Mckeln, whose advce, help, and gudance have been absolutely crucal for hs work. I would also lke to thank my tutor Dr. John Rckert and Dr. Tanya Khovanova for ther valuable and nsghtful comments on ths project. I would lke to recognze Professors Dr. Davd Jerson and Dr. Slava Gerovtch for organzng and coordnatng the math mentorshps. I would also lke to thank Anq L, Mchelle Shen, Jordan Lee and Óscar Rvero for ther remarks. I would lke to acknowledge the Center for Excellence n Educaton, the Research Scence Program, and the Massachusetts Insttute of Technology for gvng me the once n a lfetme opportunty to conduct research durng the summer. Fnally, I would lke to recognze and thank Ms. Perceres, the Drector of Youth and Scence Programs, and Fundacó Catalunya la Pedrera for sponsorng me. 19

20 12 Appendx 12.1 Sequences of ntegers that do not satsfy the nequalty for n dp d In Secton 7 we mentoned that the set of ntegers that do not satsfy the nequalty for n dp d becomes smaller when d ncreases. In ths appendx we dsplay the frst terms of the sequence of ntegers that do not satsfy the nequalty n dp d < p a when d equals 1, 2, 3, 4 and 5. The On-Lne Encyclopeda of Integer Sequences has publshed our sequence n the cases when d equals 1 (see A290203) and when d equals 2 (see A290290). When d = 1: 126, 210, 330, 630, 1144, 1360, 2520, 2574, 2992, 3432, 3960, 4199, 4620, 5544, 5610, 5775, 5980, 6006, 6930, 7280, 8008, 8415, 9576, 10005, 10032, 12870, 12880, 13090, 14280, 14586, 15708, 15725, 16182, 17290, 18480, 18837, 19635, 19656, 20475, 20592, 22610, 24310, 25296, 25300, 25520, 25840, 27170, 27720, 27846, 28272, 28275, 29716, 30628, 31416, 31450, 31464, 31465, 32292, 34086, 34100, 34580, 35568, 35650, 35670, 35728, 36036, 36432, 37944, When d = 2: 3432, 5980, 12870, 12880, 13090, 14280, 14586, 20475, 28272, 28275, 31416, 31450, 34580, 35650, 39270, 45045, 45220, 72072, 76076, 96135, 97812, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , When d = 3: 3432, 31416, 34580, 35650, 39270, 96135, , , , , , , , , , , , , , , , , , , , , , , , , , , , , C++ code for fndng all the possble pars Here we provde the C++ code that we used to fnd all the possble pars of prmes that satsfy Condton 1 for each nteger. Ths code has been used to plot Fgure 4. The code for the data on how many ntegers satsfy Condton 1 f we fx one prme s qute smlar and s therefore not ncluded. 20

21 21

22 References [1] J. Bertrand. Mémore sur le nombre de valeurs que peut prendre une foncton quand on y permute les lettres qu elle renferme. Journal de l École Royale Polytechnque, 30: , [2] S. Casacuberta. Sequence A n The On-Lne Encyclopeda of Integer Sequences. Publshed electroncally at [3] S. Casacuberta. Sequence A n the On-Lne Encyclopeda of Integer Sequences. Publshed electroncally at [4] K. S. Davs and W. A. Webb. Lucas theorem for prme powers. European Journal of Combnatorcs, 11: , [5] A. Granvlle. Harald Cramér and the dstrbuton of prme numbers. Scandnavan Actuaral Journal, 1995: , [6] D. Heath-Brown. Gaps between prmes, and the par correlaton of zeros of the zeta-functon. Acta Arthmetca, 41:85 99, [7] A. E. Ingham. The Dstrbuton of Prme Numbers. Cambrdge Unversty Press, [8] E. Kummer. Über de Ergänzungssätze zu den allgemenen Rezproztätsgesetzen. Journal für de rene und angewandte Mathematk, 44:93 146, [9] A. M. Legendre. Théore des Nombres. Pars: Frmn Ddot Frères, [10] E. Lucas. Théore des fonctons numérques smplement pérodques. Amercan Journal of Mathematcs, 44: , [11] J. Nagura. On the nterval contanng at least one prme number, Proceedngs of the Japan Academy, [12] G. Paz. On Legendre s, Bocard s, Andrca s and Oppermann s Conjectures. arxv: , [13] J. Shareshan and R. Woodroofe. Dvsblty of bnomal coeffcents and generaton of alternatng groups. Pacfc Journal of Mathematcs, 292: , [14] L. Shoenfeld. Sharper bounds for Chebyshev functons ψ(x) and θ(x),. Mathematcs of Computaton,

Open Problems with Factorials

Open Problems with Factorials Mathematics Open Problems with Factorials Sílvia Casacuberta supervised by Dr. Xavier Taixés November 3, 2017 Preamble This essay contains the results of a research project on number theory focusing on

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

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

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

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 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

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

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

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

Christian Aebi Collège Calvin, Geneva, Switzerland

Christian Aebi Collège Calvin, Geneva, Switzerland #A7 INTEGERS 12 (2012) A PROPERTY OF TWIN PRIMES Chrstan Aeb Collège Calvn, Geneva, Swtzerland chrstan.aeb@edu.ge.ch Grant Carns Department of Mathematcs, La Trobe Unversty, Melbourne, Australa G.Carns@latrobe.edu.au

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

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

Remarks on the Properties of a Quasi-Fibonacci-like Polynomial Sequence

Remarks on the Properties of a Quasi-Fibonacci-like Polynomial Sequence Remarks on the Propertes of a Quas-Fbonacc-lke Polynomal Sequence Brce Merwne LIU Brooklyn Ilan Wenschelbaum Wesleyan Unversty Abstract Consder the Quas-Fbonacc-lke Polynomal Sequence gven by F 0 = 1,

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

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

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

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

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

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

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

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

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

Beyond Zudilin s Conjectured q-analog of Schmidt s problem

Beyond Zudilin s Conjectured q-analog of Schmidt s problem Beyond Zudln s Conectured q-analog of Schmdt s problem Thotsaporn Ae Thanatpanonda thotsaporn@gmalcom Mathematcs Subect Classfcaton: 11B65 33B99 Abstract Usng the methodology of (rgorous expermental mathematcs

More information

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

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

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

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

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

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

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

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

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

Amusing Properties of Odd Numbers Derived From Valuated Binary Tree

Amusing Properties of Odd Numbers Derived From Valuated Binary Tree IOSR Journal of Mathematcs (IOSR-JM) e-iss: 78-578, p-iss: 19-765X. Volume 1, Issue 6 Ver. V (ov. - Dec.016), PP 5-57 www.osrjournals.org Amusng Propertes of Odd umbers Derved From Valuated Bnary Tree

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

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

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

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

On the correction of the h-index for career length

On the correction of the h-index for career length 1 On the correcton of the h-ndex for career length by L. Egghe Unverstet Hasselt (UHasselt), Campus Depenbeek, Agoralaan, B-3590 Depenbeek, Belgum 1 and Unverstet Antwerpen (UA), IBW, Stadscampus, Venusstraat

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

arxiv: v1 [math.nt] 12 Sep 2018

arxiv: v1 [math.nt] 12 Sep 2018 ON p-adic VALUATIONS OF COLORED p-ary PARTITIONS arxv:180904628v1 [mathnt] 12 Sep 2018 MACIEJ ULAS AND B LAŻEJ ŻMIJA Abstract Letm N 2 andforgven k N + consderthesequence (A m,k (n n N defned by the power

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

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

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 path of ants Dragos Crisan, Andrei Petridean, 11 th grade. Colegiul National "Emil Racovita", Cluj-Napoca

The path of ants Dragos Crisan, Andrei Petridean, 11 th grade. Colegiul National Emil Racovita, Cluj-Napoca Ths artcle s wrtten by students. It may nclude omssons and mperfectons, whch were dentfed and reported as mnutely as possble by our revewers n the edtoral notes. The path of ants 07-08 Students names and

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

ANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U)

ANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U) Econ 413 Exam 13 H ANSWERS Settet er nndelt 9 deloppgaver, A,B,C, som alle anbefales å telle lkt for å gøre det ltt lettere å stå. Svar er gtt . Unfortunately, there s a prntng error n the hnt of

More information

FOR WHICH p-adic INTEGERS x CAN k

FOR WHICH p-adic INTEGERS x CAN k FOR WHICH p-adic INTEGERS x CAN x BE DEFINED? DONALD M. DAVIS Abstract. Let fn) = n. Frst, we show that f : N Q p s nowhere contnuous n the p-adc topology. If x s a p-adc nteger, we say that fx) s p-defnable

More information

Determinants Containing Powers of Generalized Fibonacci Numbers

Determinants Containing Powers of Generalized Fibonacci Numbers 1 2 3 47 6 23 11 Journal of Integer Sequences, Vol 19 (2016), Artcle 1671 Determnants Contanng Powers of Generalzed Fbonacc Numbers Aram Tangboonduangjt and Thotsaporn Thanatpanonda Mahdol Unversty Internatonal

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

= 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

arxiv: v1 [math.ho] 18 May 2008

arxiv: v1 [math.ho] 18 May 2008 Recurrence Formulas for Fbonacc Sums Adlson J. V. Brandão, João L. Martns 2 arxv:0805.2707v [math.ho] 8 May 2008 Abstract. In ths artcle we present a new recurrence formula for a fnte sum nvolvng the Fbonacc

More information

Characterizing the properties of specific binomial coefficients in congruence relations

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

More information

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

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

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

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

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

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

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

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

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

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

Errors for Linear Systems

Errors for Linear Systems Errors for Lnear Systems When we solve a lnear system Ax b we often do not know A and b exactly, but have only approxmatons  and ˆb avalable. Then the best thng we can do s to solve ˆx ˆb exactly whch

More information

CSCE 790S Background Results

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

More information

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

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

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

Section 8.3 Polar Form of Complex Numbers

Section 8.3 Polar Form of Complex Numbers 80 Chapter 8 Secton 8 Polar Form of Complex Numbers From prevous classes, you may have encountered magnary numbers the square roots of negatve numbers and, more generally, complex numbers whch are the

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

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

Min Cut, Fast Cut, Polynomial Identities

Min Cut, Fast Cut, Polynomial Identities Randomzed Algorthms, Summer 016 Mn Cut, Fast Cut, Polynomal Identtes Instructor: Thomas Kesselhem and Kurt Mehlhorn 1 Mn Cuts n Graphs Lecture (5 pages) Throughout ths secton, G = (V, E) s a mult-graph.

More information

Stanford University CS359G: Graph Partitioning and Expanders Handout 4 Luca Trevisan January 13, 2011

Stanford University CS359G: Graph Partitioning and Expanders Handout 4 Luca Trevisan January 13, 2011 Stanford Unversty CS359G: Graph Parttonng and Expanders Handout 4 Luca Trevsan January 3, 0 Lecture 4 In whch we prove the dffcult drecton of Cheeger s nequalty. As n the past lectures, consder an undrected

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

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

The Number of Ways to Write n as a Sum of ` Regular Figurate Numbers

The Number of Ways to Write n as a Sum of ` Regular Figurate Numbers Syracuse Unversty SURFACE Syracuse Unversty Honors Program Capstone Projects Syracuse Unversty Honors Program Capstone Projects Sprng 5-1-01 The Number of Ways to Wrte n as a Sum of ` Regular Fgurate Numbers

More information

MA 323 Geometric Modelling Course Notes: Day 13 Bezier Curves & Bernstein Polynomials

MA 323 Geometric Modelling Course Notes: Day 13 Bezier Curves & Bernstein Polynomials MA 323 Geometrc Modellng Course Notes: Day 13 Bezer Curves & Bernsten Polynomals Davd L. Fnn Over the past few days, we have looked at de Casteljau s algorthm for generatng a polynomal curve, and we have

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

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

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

More information

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

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

The Second Anti-Mathima on Game Theory

The Second Anti-Mathima on Game Theory The Second Ant-Mathma on Game Theory Ath. Kehagas December 1 2006 1 Introducton In ths note we wll examne the noton of game equlbrum for three types of games 1. 2-player 2-acton zero-sum games 2. 2-player

More information

MMA and GCMMA two methods for nonlinear optimization

MMA and GCMMA two methods for nonlinear optimization MMA and GCMMA two methods for nonlnear optmzaton Krster Svanberg Optmzaton and Systems Theory, KTH, Stockholm, Sweden. krlle@math.kth.se Ths note descrbes the algorthms used n the author s 2007 mplementatons

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

Solutions to the 71st William Lowell Putnam Mathematical Competition Saturday, December 4, 2010

Solutions to the 71st William Lowell Putnam Mathematical Competition Saturday, December 4, 2010 Solutons to the 7st Wllam Lowell Putnam Mathematcal Competton Saturday, December 4, 2 Kran Kedlaya and Lenny Ng A The largest such k s n+ 2 n 2. For n even, ths value s acheved by the partton {,n},{2,n

More information

A summation on Bernoulli numbers

A summation on Bernoulli numbers Journal of Number Theory 111 (005 37 391 www.elsever.com/locate/jnt A summaton on Bernoull numbers Kwang-Wu Chen Department of Mathematcs and Computer Scence Educaton, Tape Muncpal Teachers College, No.

More information

inv lve a journal of mathematics 2008 Vol. 1, No. 1 Divisibility of class numbers of imaginary quadratic function fields

inv lve a journal of mathematics 2008 Vol. 1, No. 1 Divisibility of class numbers of imaginary quadratic function fields nv lve a journal of mathematcs Dvsblty of class numbers of magnary quadratc functon felds Adam Merberg mathematcal scences publshers 2008 Vol. 1, No. 1 INVOLVE 1:1(2008) Dvsblty of class numbers of magnary

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

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

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

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

Rapid growth in finite simple groups

Rapid growth in finite simple groups Rapd growth n fnte smple groups Martn W. Lebeck, Gl Schul, Aner Shalev March 1, 016 Abstract We show that small normal subsets A of fnte smple groups grow very rapdly namely, A A ɛ, where ɛ > 0 s arbtrarly

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

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

On the set of natural numbers

On the set of natural numbers On the set of natural numbers by Jalton C. Ferrera Copyrght 2001 Jalton da Costa Ferrera Introducton The natural numbers have been understood as fnte numbers, ths wor tres to show that the natural numbers

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

Asymptotics of the Solution of a Boundary Value. Problem for One-Characteristic Differential. Equation Degenerating into a Parabolic Equation

Asymptotics of the Solution of a Boundary Value. Problem for One-Characteristic Differential. Equation Degenerating into a Parabolic Equation Nonl. Analyss and Dfferental Equatons, ol., 4, no., 5 - HIKARI Ltd, www.m-har.com http://dx.do.org/.988/nade.4.456 Asymptotcs of the Soluton of a Boundary alue Problem for One-Characterstc Dfferental Equaton

More information

A Note on Bound for Jensen-Shannon Divergence by Jeffreys

A Note on Bound for Jensen-Shannon Divergence by Jeffreys OPEN ACCESS Conference Proceedngs Paper Entropy www.scforum.net/conference/ecea- A Note on Bound for Jensen-Shannon Dvergence by Jeffreys Takuya Yamano, * Department of Mathematcs and Physcs, Faculty of

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

The Ramanujan-Nagell Theorem: Understanding the Proof By Spencer De Chenne

The Ramanujan-Nagell Theorem: Understanding the Proof By Spencer De Chenne The Ramanujan-Nagell Theorem: Understandng the Proof By Spencer De Chenne 1 Introducton The Ramanujan-Nagell Theorem, frst proposed as a conjecture by Srnvasa Ramanujan n 1943 and later proven by Trygve

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