EXPLICIT BOUNDS ON MONOMIAL AND BINOMIAL EXPONENTIAL SUMS

Size: px
Start display at page:

Download "EXPLICIT BOUNDS ON MONOMIAL AND BINOMIAL EXPONENTIAL SUMS"

Transcription

1 EXPLICIT BOUNDS ON MONOMIAL AND BINOMIAL EXPONENTIAL SUMS TODD COCHRANE AND CHRISTOPHER PINNER Abstract. Let p be a prime an e p = e 2πi /p. First, we make explicit the monomial sum bouns of Heath-Brown an Konyagin: p 1 x=1 epax min{λ 5/8 p 5/8, λ 3/8 p 3/ }, where λ = 2/ 3 = Secon, letting = k, l, p 1, we obtain the explicit binomial sum boun p 1 x=1 epaxk + bx l k l, p /6 p 89/92, for any nonconstant binomial ax k + bx l on Z p, by sharpening the estimate for the number of solutions of the system x k 1 + xk 2 = xk 3 + xk, xl 1 + xl 2 = x l 3 +xl. Finally, we apply the latter estimate to establish the Goresky-Klapper conjecture on the ecimation of l-sequences for p > Introuction For prime p an polynomial fx over Z, let Sf enote the exponential sum, Sf = e p fx, x=1 where e p = e 2πi /p is the aitive character on Z p. The nee for precise numeric estimates for such sums has become apparent in many areas of mathematics. For instance, to quantify the istribution of k-th powers mo p one nees estimates for the monomial sum Sx k an the binomial sum Sx k +bx. Such estimates were use by Bourgain, Paulhus an the authors [7], to resolve the Goresky-Klapper conjecture on the ecimation of l-sequences for all sufficiently large primes, a problem of interest to computer scientists; see Section 7. In that paper we were able to establish the valiity of the conjecture for p > A computer has verifie the conjecture for p < In orer to close this gap it is useful to have more precise estimates for a binomial sum. In this paper we obtain numeric estimates for Sf in the cases where f is a monomial or binomial. In particular the bouns obtaine allow us to establish the Goresky-Klapper conjecture for p > First we make explicit the monomial exponential sum bouns of Heath-Brown an Konyagin [1]. Theorem 1.1. For any prime p, multiplicative subgroup A of Z p an integer a with p a, we have, with λ = 2/ 3 = , p 1/2, A > 1 3 p2/3 e p ax λ A x A 3/8 p 1/, p 1/2 < A 1 3 p2/3 λ A 5/8 p 1/8, 3 p 1/3 < A p 1/2. Date: October 5,

2 2 TODD COCHRANE AND CHRISTOPHER PINNER Equivalently, letting A Z p be the subgroup of -th powers we have Theorem 1.2. Let p be a prime an a positive integer with p 1. Then for any integer a with p a, p 1 1p 1/2 + 1, < 3 p 1/3, e p ax λ x=1 5/8 p 5/8, 3 p 1/3 < p 1/2, λ 3/8 p 3/, p 1/2 < 1 3 p2/3, with λ = 2 3 = Each of the bouns in Theorems 1.1 an 1.2 is vali for arbitrary. We have inicate to the right the interval where the boun is optimal. The first boun in each of these theorems is just the classical boun for a Gauss sum. For A < 3p 1/3, or equivalently > 1 3 p2/3 all of these bouns are trivial. Konyagin [15] has obtaine nontrivial bouns for A > p 1 +ɛ that can be mae explicit, but he an we have not compute the constants. Bourgain an Garaev [] also have the boun x A e pax A for any A with A > p 1/, but the implie constant has not been compute. Bourgain an Konyagin [6], an Bourgain, Glibichuck an Konyagin [5] obtaine estimates vali for A > p ɛ. More recently Bourgain [3] has prove that log p exp C e p ax < p log A A x A for some absolute unetermine constant C > 1. For example, to save a factor e log p on the trivial boun one nees only log A > 2C log p/ log log p. Next, we turn to binomial sums. Let a, b, k, l be integers an fx = ax k + bx l. We shall only insist that f be nonconstant on Z p. Thus, it is allowe to collapse to a nonconstant monomial. Set = k, l, p 1. In [8, Corollary 1.1] the authors establishe the upper boun e p ax k + bx l k l, p 1 + 3/13 p 51/52, x=1 for any nonconstant binomial fx on Z p, a boun that is nontrivial for p 1/12. Here we establish a stronger an explicit boun, that remains nontrivial for p 3/26. Theorem 1.3. For any nonconstant binomial fx on Z p we have e p ax k + bx l k l, p /6 p 89/92. x=1 The first term can be remove if ba is not a k l-th power in Z p. The term := k l, p 1 cannot be remove from the right-han sie when bā is a -th power. Inee, in this case we see that Sf if min{ 1/2 p 3/, 5/13 p 10/13 } by estimate 29 an the bouns in Theorem 1.2. In Theorem.1 we give a slightly stronger upper boun, nontrivial for < p 1/3 but requiring k, p 1 or l, p 1 to be sufficiently large. By the work of Bourgain [2],

3 BINOMIAL SUMS 3 it is known that if < p 1 ɛ an < p 1 ɛ, then Sf p 1 δ for some δ = δɛ; see [11]. Crucial for our binomial bouns will be estimates for Mk, l, the number of solutions in Z p of the system of simultaneous equations x k 1 + x k 2 = x k 3 + x k x l 1 + x l 2 = x l 3 + x l. For example when the exponents 1 l < k have kl, p 1 = 1 an k l, p p 1 16/23 we obtain the boun see Theorem 7.1 Mk, l 27.57p 66/23. The special case l = 1 of this will be use in Corollary 7.1 when verifying the Goresky-Klapper conjecture, replacing the in Theorem 3 of our earlier paper [7]. Goo bouns for Mk, l translate immeiately into goo bouns for the corresponing binomial exponential sum via e p ax k + bx l Mk, l1/ p 1/. x=1 We shoul remark that the various inequalities above in fact hol for the more general mixe exponential sum p 1 x=1 χxe pfx, where χ is a multiplicative character mo p an f is a monomial or binomial. 2. Proofs of Theorems 1.1 an 1.2 Define NA = {x 1, x 2, y 1, y 2 A : x 1 + x 2 = y 1 + y 2 }, an for any a F p let NA, a = {x 1, x 2 A 2 : x 1 + x 2 = a}. In orer to pass from the estimate of NA to the estimate of the monomial exponential sum, we use Lemma 2.1. [1] For any subgroup A of Z p, { e p ax NA 1 A 1 p 1, NA 1 p 1 8. x A If A p 2/3 then Theorem 1.1 follows from the classical estimate for a Gauss sum, x A e pax p. For A < p 2/3 it is an immeiate consequence of Lemma 2.1 an Theorem 2.1. For any multiplicative subgroup A of Z p with A < p 2/3 we have NA 16 3 A 5/2. The classical estimate of Hua, Vaniver an Weil for the number of solutions of the homogeneous equation x 1 + x 2 = x 3 + x can be state in the manner NA A p < p A. Thus for A p2/3 one has NA < A p + A 5/2. One also sees that the hypothesis A < p 2/3 in the theorem cannot be relaxe. To obtain the constant 16/3 in the theorem, we make use of the following lemma of Mattarei [17], for counting the number of solutions of the Fermat equation x + y = z over

4 TODD COCHRANE AND CHRISTOPHER PINNER a finite fiel. It is a refinement of a result of Garcia an Voloch [12]. A similar upper boun is also given in [16] with an unetermine constant. Lemma 2.2. For any nonzero a Z p an multiplicative subgroup A of Z p with A < 1/ 1/ p 1 3/, we have NA, a 3 2 2/3 A 2/3. The result of [17] has an extra hypothesis that, where = p 1/ A, but one can check that the lemma hols trivially for <. Inee, for = 3, NA, a A 3 2 2/3 A 2/3 provie that A 6. If A 7 then since p = 3 A we have A = p 1/3 1/ 1/ p 1 3/, contrary to assumption. A similar argument applies when = 1 or 2. In [12] the upper boun A 2/3 is obtaine for A < p 1/p 1 1/ + 1. Let A be a multiplicative subgroup of Z p, with t = A. We start by writing A + A as a isjoint union of cosets of A, where {0} is omitte if 1 / A. For any coset Ax j let A + A = Ax 1 Ax 2 Ax n {0}, N j = {x A : x + 1 Ax j } = {x, y A A : x + y = x j }. We assume the sets Ax i have been orere so that N 1 N 2 N 3 N n. Now for any x A, x 1, x + 1 Ax j for some j an so n 1 N j = t δ, where an δ = j=1 { 1, if 1 A, 0, if 1 / A, 2 NA = δt 2 + t n Nj 2. The next lemma is extracte from the proof of [16, Lemma 3.2]. Lemma 2.3. Let a, b,, s be positive integers such that s n, sa + 1 2s 1 < ab 2, ab t, tb < p, where t = A. Then s a 1 + 2tb 1 N j. j=1 Proof. The lower case a, b, in the lemma correspon to the upper case A, B, D in [16]. In equation 3.11 of [16] one actually has sa s 1 < ab2 by summing over k in the preceing line of their proof. Then Apply the lemma with j=1 b = [st 1/3 ] + 1, a = [t/b], = 2a. sa s 1 < a2 s = aas t b as ab2,

5 BINOMIAL SUMS 5 an so if tb p then we euce s 3 j=1 N j tb a a 2 b 1 = b2 b 1 b. t + tb 1 t If we assume further that b 2 < t we get from 3, s N j b2. j=1 If b 2 t then the same boun hols trivially by 1. Since the left-han sie is an integer the 1 2 can be roppe, thus establishing Lemma 2.. For any positive integer s n such that bt < p, s N j [ts 1/3 ] j=1 Sections 5 an 8 will require us to asymptotically evaluate sums of the form j s j c. Hence for 0 < c < 1 we efine 5 γ c s = c 1 c + c s In 5 we will nee estimates for the quantity 6 κ 0 s = 21/3 9 γ 2/3s + an in 8 1 {x}x 1 c x. 2 5/ κ 1 s = 8 3 γ 2/5s γ /5 s. Lemma 2.5. For 0 < c < 1 an s in N 8 j c = s1 c 1 c γ cs. j s γ 1/3 s, The functions κ 0 s an κ 1 s are increasing for s in N with 9 κ 0 s < 2.083, an 10 κ 1 s < 1. for all s in N, with 11 κ 1 1 = Proof. Partial summation gives 8. Claims 9 an 10 follow from κ 0 s = κ 0 25/3 {x} /3 x 1/3 16 x, 27 s x 5/3 κ 1 s = κ 1 {x} 5 x 9/5 3 x2/5 1 x, s checking numerically that κ 0 1 < κ 0 2 an numerical computation κ 0 < an κ 1 < 1..

6 6 TODD COCHRANE AND CHRISTOPHER PINNER 3. Proof of Theorem 2.1 Suppose t < p 2/3. Since NA t t5/2 for t 28 we may assume that t 29 an p 157. Hence t < p 2/3 <.7p 1 3/, an by 2 an 1 an Lemma 2.2 we have NA δt 2 + tn 1 n j=1 N j = δt 2 + tn 1 t δ t /3 t 5/3 t 1 < 16 3 t5/2 for t 85. Hence we assume that t 86 an, setting [ ] J = t/, that J 5. We efine From Lemma 2.2 giving m j = 27/3 3 t2/3 j 1/3, w j = N j m j, Cs = w j. j s Cs = j s N j j s m j t 2/ /3 s 27/3 3 j s j 1/3 12 C t 2/3, C t 2/3, C3 1.92t 2/3. For s J 1 1 t1/2 1 we have b 2 1/3 t 1/3 1 t1/2 1 1/ < t,, bt < t 3/2 < p, an Lemma 2. gives j s N j [ 2 2/3 t 1/3 s 1/3] Hence, using the notation 5 an Lemma 2.5, for s J 1 13 Cs an by Lemma 2. [ 2 2/3 t 1/3 s 1/3] 2 2 7/ /3 t 1/3 s 1/ /3 3 j 1/3 3 t2/3 j s 3 2 s2/3 γ 1/3 s t 2/3 = 27/3 3 γ 1/3st 2/ /3 t 1/3 s 1/ /3 3 γ 1/3J 1t 2/3 + 2t 1/2, [ s 2 1 N s s 1 2/3 t 1/3 s 1/3] N i. s

7 BINOMIAL SUMS 7 Using 1 an 2 we write n NAt 1 = Nj 2 + δt j=1 j<j Nj 2 + N J N j + δt j J = j<j N j N j N J + N J t δ + δt j<j m j N j N J + j<j w j N j N J + N J t 1 + t = m 2 j + w j N j N J + m j w j + N J t 1 m j + t j<j j<j j<j j<j = M 1 + E 1 + E 2 + E 3 + t, where an M 1 = m 2 j = 21/3 9 t/3 j 2/3 j<j j<j = 21/3 9 t/3 3J 1 1/3 γ 2/3 J 1 = 16 3 t3/2 21/3 9 γ 2/3J 1t /3 21/3 3 t/3 E 3 = N J t 1 m j j<j t 1/3 J 1 1/3 = N J t 1 27/3 3 3 t2/3 2 J 12/3 γ 1/3 J 1 t 2 7/3 2/3 = N J 3 γ 1/3J 1t 2/3 + 2 /3 t 2/3 J 1 2/3 Using partial summation eg Hary & Wright Theorem 21, 13 an N /3 t 2/3, E 1 = w j N j N J = CJ 1N J 1 N J + CjN j N j+1 j<j 1 j J 2 2 7/3 3 γ 1/3J 1t 2/3 + 2t 1/2 N j N j+1 1 j J 1 2 7/3 = 3 γ 1/3J 1t 2/3 + 2t 1/2 N 1 N J 2 2 5/3 γ 1/3 J 1t / /3 t 7/6 7/3 N J 3 γ 1/3J 1t 2/3 + 2t 1/2. 1.

8 8 TODD COCHRANE AND CHRISTOPHER PINNER Similarly, using the bouns 12 on Cj for j 3 an 13 for j, E 2 = m j w j = 27/3 3 t2/3 w j j 1/3 j<j j<j = 27/3 3 t2/3 CJ 1J 1 1/3 + 1 j J 2 Cj j 1/3 j + 1 1/3 27/3 3 t/ / /3 3 1/ /3 1/3 + 27/3 2 7/3 3 t2/3 3 γ 1/3J 1t 2/3 + 2t 1/2 J 1 1/3 + j 1/3 j + 1 1/3 j J γ 1/3J t /3 + 28/3 3 t7/6. Hence where, with κ 0 J 1 as efine in 6, an E 5 = N J Also, from 1, 2 /3 t NAt t3/2 + t /3 E + E 5 E = κ 0 J t 1/6 + t 1/3, 2/3 J 1 2/3 t 2/3 2t 5/6 t /3 21/3 3 [ 2 2/3 J 1 1/3 t 1/3] N J N J 1. J 1 For t < 270 one checks numerically that E + E 5 <.73, whence NAt t3/2. For t 270 we have J 13. The bouns 15 N J 22/3 J 1 1/3 t 1/ J 1 an, using 15, 2/3 t J 1 2/3 = J 1 1/3 + 22/ / /3 2 J 1 1/3 t 2/ t2/3 J 1 1/3, 1/3 t J 1 1/3 2 3 J 1 2/3, t 1/3 t 1/3 J 1 1/3 2J 1 1/ /3 t 3 J 1 2/3 J 1 1/3 t 1/ J 1 1/3 J 1 1/3, t 1/3 J 1 1/3.

9 BINOMIAL SUMS 9 give E / / J 1 2/3 5.22t 1/6 J 1 1/3 = /3 t J 1 1/ t 1/6 J 1 1/3 2/ /3 2/3 1/3 t t 5.22 t 1/3 J 1 J 1 t 1/3 J 1 J 1 2/3 1/ t 1/3 < 0.760t 1/ From Lemma 2.5 we have κ 0 J 1 < Hence for t 270 we have E + E t 1/ t 1/3 < 0, an NAt 1 < 16 3 t3/2.. Another Binomial Sum Boun The following theorem is neee in the proof of Theorem 1.3, but it has inepenent interest. It yiels a nontrivial boun on any binomial exponential sum with p 1/3 an either k, p 1 > or l, p 1 >, where = k, l, p 1. Theorem.1. For any nonconstant binomial fx = ax k + bx l, an constant λ as in Theorem 1.2, we have the boun 1/2 Sf p + min{λ 8/11 15/88 p 21/22, λ 2/3 1/8 p 23/2 }. k, p 1 The proof uses averaging methos similar to what is foun in Akulinicev [1], Yu [20] an the author s work [10], together with the bouns for a monomial sum given in Theorem 1.2. For any integer k, set 16 Φk = max a 0 e p ax k. Lemma.1. For any binomial fx = ax k + bx l, we have Sf Φ p 1 l,p 1. In particular, with λ as in Theorem 1.2, x= Sf p3/2 l, p 1, l, p 1 > 1 3 p2/3, Sf λ p5/ 5/8 l, p 1 5/8, p < l, p 1 < 1 3 p2/3, Sf λ p9/8 3/8 l, p 1 3/8, l, p 1 < p. The inequality in 18 is a generalization of Yu [20, Theorem 2]. His theorem require l p 1 an = 1. From this he euce the uniform boun Sf p 23/2 uner the same constraints.

10 10 TODD COCHRANE AND CHRISTOPHER PINNER Proof. Set m = p 1 l,p 1. Then p 1Sf = e p fxy m = e p ax k y km + bx l y=1 x=1 x=1 y=1 an so, Sf 1 p 1 e p ax k y km. x=1 y=1 The first result follows from the observation that km, p 1 = remaining inequalities are an immeiate consequence of Theorem 1.2. p 1 l,p 1. The In [10, Lemma 3.1] the authors prove We euce from Theorem 1.2, 1/2 Sf p + p Φl, p 1 1/2. k, p 1 Lemma.2. For any nonconstant binomial fx = ax k + bx l on Z p, 20 1/2 Sf p k,p 1 + p 3/ l, p 1 1/2, l, p 1 < 3p 1/3, 21 1/2 Sf p k,p 1 + λ 1/2 p 13/16 l, p 1 5/16, 3p 1/3 l, p 1 < p 1/2, 22 1/2 Sf p k,p 1 + λ 1/2 p 7/8 l, p 1 3/16, p 1/2 l, p 1 < 1 3 p2/3, with λ as in Theorem 1.2. Proof of Theorem.1. We treat a number of separate cases which may be of inepenent interest. The theorem itself just nees the argument presente in cases iv an v. i. If l, p 1 > 1 3 p2/3 then by 17, Sf < 3p 5/6. ii. If p < l, p p2/3 then by 18, Sf < λp 15/16. iii. If l, p 1 < 3p 1/3 then by 20, Sf < A + p 3/ 3p 1/3 1/2 < A + 3p 11/12, where A is the first term in the theorem. iv. Suppose next that 3p 1/3 l, p 1 p. If l, p 1 λ 8/11 p 5/11 6/11 we use 19 to get Sf λ 8/11 15/88 p 21/22. If l, p 1 λ 8/11 p 5/11 6/11 then we use 21 to get the same boun with A ae. v. Suppose that p l, p p2/3. If l, p 1 > λ 8/9 2/3 p /9 then use 19 to get Sf λ 2/3 1/8 p 23/2. If l, p 1 λ 8/9 2/3 p /9, then we use 22 to get the same with A ae.

11 BINOMIAL SUMS Lemmas for Theorem 1.3 For any integers k, l let Mk, l enote the number of solutions in Z p of the system x k 1 + x k 2 = x k 3 + x k x l 1 + x l 2 = x l 3 + x l, an put M + k, l = Mk, l for 1 l < k < p 1, M k, l = Mk, l for 1 l < k, k + l < p 1. Let 23 S + k, l = e p ax k + bx l, p ab, 1 l < k < p 1, an x=1 2 S k, l = e p ax k + bx l, p ab, 1 l k, k + l < p 1. x=1 In [8] we establishe the Morell type boun 25 S k, l p 1/ M k, l 1/, an the elementary bouns [8, Lemma 3.2] 26 M + k, l klp 1 2, for 1 l < k < p 1, M k, l 3klp 1 2, for 1 l k, l + k < p 1, from which we immeiately euce Lemma 5.1. For any k, l, Set S + k, l kl 1/ p 3/, S k, l 3kl 1/ p 3/. = k, l, p 1, 1 = k, l, = = k l, p 1 l + = l, l = 2l, δ + = k l k + l, δ =. 1 1 In [7, Lemma 3] we prove that if k < 1 32 p l 1 6, then M k, l 2 p k 2 l p 1 + p 1 2 µ where µ = max{ /3 kl δ 1 3 / 1, 557δ }. In the next section we prove a version with substantially improve constants. Theorem 5.1. If 27 k + l 5 δ 2 < 2.1 kl / 1 p 1 then with M k, l 2 p k 2 l p 1 + p 1 2 µ µ = 7 1/2 1/6 kl / 1 δ 1/ /10, if kl / δ, if kl / /3 δ /3, /3 δ /3.

12 12 TODD COCHRANE AND CHRISTOPHER PINNER Note that conition 27 certainly hols if k p l 1 6. From Theorem 5.1 we reaily obtain an effective form of Theorem 1.1 an Lemma 1.1 in [7]. Corollary 5.1. If 28 k < 1 2 p 12/3 1/3, then an where = k l/. { } M k, l 19.7 max 1, l 1/3 kp 1 2 { } 1/ S k, l 2.11 max 1, l 1/3 k 1/ p 3/, Proof. The boun for S k, l follows at once from the boun on M k, l by 25, so it suffices to prove the latter. We may assume that k l > 19.7/1.5 3, else the boun is trivial by 26. By 28 we certainly have p 1 2/3 1/3 > 2k > k l > 19.7/1.5 3, so p 1 > 19.7/1.5 9/2. Hence 2 p 1 2 kl 1/3 p 1 = 5/3 k l1/3 2 kl an 2k 2 l p 1 2kk l1/3 = kl 1/3 p 1 2 1/3 p 1 2/3 k /3 1/3 p 1 5/3 k l 2/3 l /3 1 2 p 12/3 1/3 /3 = 1/3 p 1 If kl / /3 / δ then l k 3 1/3 /3 7 1 l k l 2 50 k 2 3 1/3 7 1 k l k 2 21/ / /3 50 1/3 k 3 1/ /3 2 2/3 50 an δ p 1 2 kp 1 2 = Hence from Theorem 5.1 k l k 2 l 0.006, 1/9 1/2 1.5 p 1 < / /3 1/ /1.53 2/3 < 1 + l 1 k < M k, l kl 1/3 p max { 19.7 max kl 1/3 p 1 2, kp 1 2}. Finally, we nee the following Lemma 5.2. With λ as in Theorem 1.1, S k, l + λ/ 5/8 p 5/. Moreover, if ba is not a power, then the term may be remove , { 19.56kl 1/3 p 1 2, kp 1 2}

13 BINOMIAL SUMS 13 Proof. We use the technique of Akulinichev [1] to average over the -th roots of unity. p 1S k, l = e p y=1 x=1 x=1 y=1 axy p 1 k + bxy p 1 l = e p ax k + bx l y lp 1. If ax k + bx l 0 then the boun of Theorem 1.2 gives e p ax k + bx l y lp 1 lp 1 p 1 Φ = Φ y=1 λ / 5/8 p 1 5/8 p 5 8. If bā is not a -th power, then this boun hol for all nonzero x an so, S k, l λ/ 5/8 p 5/. If bā is a -th power in Z p then we also have the values of x with ax k + bx l = 0, each contributing p 1 to the sum, an we obtain p 1 29 S k, l p 1 p 1 Φ < λ/ 5/8 p 5/. 6. Proof of Theorem 5.1 We follow the proof of Corollary 3.1 of [8]. For u = u 1, u 2 Z p 2 efine C u = #{x Z p From 2.1 of [8] we have : x k 1 = u 1 y k, x l 1 = u 2 y l for some y Z p}. 30 M k, l 2 p k 2 l p 1 + p 1 N Cu 2 i, where u 1,..., u N represent the N istinct non-empty sets of x being counte as u varies, orere so that 31 C u 1 C u 2 C u N > 0. Observe the trivial bouns see 2.2 an 3 of [8] 32 N C u i p 1, an { } p 1 33 C u i min, kl / 1. i We begin with a more precise version of Lemma 3.1 of [8]. Define 3 T = [T 1 ], T 1 = 5 7/2 2 kl / 1 3/2 p δ 3

14 1 TODD COCHRANE AND CHRISTOPHER PINNER Lemma 6.1. For 35 k + l 5 δ 2 < 2.1 kl / 1 p 1 s an s T C u i 2.1 1/10 15 p 12/5 kl / 1 3/5 s 3/5. i s Proof. We follow the proof of Lemma 3.1 of [8] but with an ajuste selection of parameters 1/5 1/5 1/ p 1 1/5 δ 2/5 36 C = D = [C 1 ], C 1 = kl / 1 1/5 s, 1/5 37 B = [B 1 ], B 1 = 38 A = A 1, A 1 = / /5 8 9 δ 1/5 2/5 2/5 6 kl / 1 2/5 δ 1/5 s 2/5, 5 p 1 2/5 3/5 2/5 6 p 1 3/5 δ 1/5 s 2/5. 5 kl / 1 3/5 We leave the fractions unsimplifie to show the epenence on 6. Analogous to restrictions 3. to 3.9 of [8] we require our choice to satisfy 39 A, B, C 1, 0 Ck + l p 1, 1 BC 2 δ, 2 Aδ p 1, 3 D C 2 + CD + 13 D2 s ABC 2. Since we have C + r 2 equations an D 1 C +r 2 = C 2 D+2C 1 2 D 1D+ 1 6 D 1D2D 1 < D C 2 + CD D2 r=0 we may replace 3.9 by 3. Restriction 3.8 was not require for the construction only simplification of the final algebra. The slightly weaker restriction 0 can replace 3.5. From 32 an 33 we have the trivial bouns s C u i kl / 1 s, an, applying Cauchy-Schwartz, s 5 C u i kl / 1 1/2 s C u i 1/2 kl / 1 1/2 p 1 1/2 s 1/2. So from 32 we may certainly assume that p 1 3/5 δ 1/5 kl / 1 3/5 > 2.1 1/10 15 s 3/5 A 1 > 56s > 7.8s,

15 BINOMIAL SUMS 15 from that kl / 1 2/5 δ 1/5 s 2/5 > 2.1 1/10 1/ B p 1 2/5 1 > 3 > 5.61, 2 an from 5 that p 1 1/5 δ 2/5 kl / 1 1/5 s 1/5 > 2.11/5 15 C 1 > 15. So A 8, B 5, C 15 an 39 hols; moreover 6 C C 1, B 5 6 B 1, A 9 8 A 1. Restriction 35 ensures 0: Ck + l C 1 k + l = k + l Since BC 2 B 1 C 2 1 = δ we plainly have 1. For 2 observe that Aδ 9 8 A 1δ = / /5 10 δ 2/5 p 1 1/5 p kl / 1 1/5 s1/5 2/5 2/5 6 p 1 3/5 δ 6/5 s 2/5 p 1, 5 kl / 1 3/5 as long as s T 1. Since C = D restriction 3 amounts to 7 3Cs AB an we have 7 C 3 B s < 7 C 1 3 5B 1 /6 s = A 1 A. Hence as in Lemma 3.1 of [8] we can euce that s C u i Akl / 1 + B 1p 1 + Ck + Cl D Akl / 1 + Bp 1 C 9 8 A 1kl / 1 + B 1 p 1 15 = 16 C 1 9 3/5 9 2/5 6 2/ /5 8 1/ p 1 2/5 kl / 1 3/5 s 3/5 = 2.1 3/ /5 p 1 2/5 kl / 1 3/5 s 3/5 Note that 2.1 3/5 8 3 = < = 2.1 1/ δ 1/5. δ 1/5 Theorem 5.1 will follow at once from 30 an the following lemma: Lemma 6.2. For 7 k + l 5 δ 2 < 2.1 kl / 1 p 1

16 16 TODD COCHRANE AND CHRISTOPHER PINNER we have 27 7 C u i i N Proof. Setting 50 3/ /6 kl / 1 δ 1/3 p 1, if kl / δ p 1, if kl / B = 2.1 1/10 15 p 12/5 kl / 1 3/5 δ 1/5 Lemma 6.1 implies that for any 1 s T 8 C u i Bs 3/5. So, putting i s C u i = 3 5 Bi 2/5 + w i, W s = i s w i, for s T we have, by 8 an Lemma 2.5, 9 W s = i s C u i 3 5 B i s Thus for any J 2 with J 1 T we have N C u i 2 i<j C u i 2 + C u J i J i 2/5 Bs 3/5 3 5 B i s C u i i<j C u i C u i C u J + C u J p /3 δ /3, /3 δ /3. i 2/5 = 3 5 γ 2/5sB. where = 3 5 Bi 2/5 C u i C u J + w i C u i C u J + C u J p 1 i<j i<j = M 1 + E 1 + E 2 + E 3, M 1 = i<j 9 25 B2 i /5 = 9 25 B2 5J 1 1/5 γ /5 J 1, E 1 = 3 5 B i<j w i i 2/5, E 3 = C u J p 1 i<j By 9 we have E 1 = 3 5 B W J 1 J 1 + 2/5 By 9 an 31 E 2 = i<j w i C u i C u J, 3 5 Bi 2/5 = C u J p 1 BJ 1 3/ Bγ 2/5J 1. 1 j J 2 1 W j j 1 9 2/5 j + 1 2/5 25 B2 γ 2/5 J 1.

17 BINOMIAL SUMS 17 E 2 = W J 1 C u J 1 C u J Bγ 2/5J 1 C u 1 C u J. 1 j J 2 Observing from 8 that C u 1 B we then get E B2 γ 2/5 J Bγ 2/5J 1C u J. Hence, with κ 1 J 1 as efine in 7, N W j C u j C u j+1 C u i B2 5J 1 1/5 + κ 1 J 1 + C u J p 1 BJ 1 3/5, From Lemma 2.5 we have κ 1 J 1 < 1. for any J 2, so for any 2 J T N C u i B2 J 1 1/5 0.50B 2 + C u J p 1 BJ 1 3/5, where the 0.50 can be replace by 0.8 when J = 2 using κ 1 1 = 20/9. We note from 33 the trivial bouns 51 an 52 N N C u i 2 p 1 C u i p 1 2, N N C u i 2 kl / 1 C u i kl / 1 p 1. We consier two cases. Case 1: Suppose first that kl / /3 / δ p 1 B 5/3 = 1 15 In this situation we take 1/6 50 δ 1/3 7 kl / 1 p p 5/3 1 J =. B. Equivalently 7/2 kl / 1 3/2 p 1 = T If J = 1 then kl/ /6 δ 1/ p 1 an the boun claime is at least 9 5 p 12 an trivial. Hence we may assume that 2 J T + 1. By 8 we have C u J C u J 1 B/J 1 2/5 an, using that x 3/5 x 1 3/5 3 5 x 1 2/5, p C u J p 1 BJ 1 3/5 B 2 5/3 3/5 1 J 1 3/5 J 1 2/5 B { 3 B 2 5 J 1 0.6B 2 if J = 2, /5 0.35B 2 if J 3. δ 3

18 18 TODD COCHRANE AND CHRISTOPHER PINNER Hence from 50 N C u i B2 J 1 1/5 1/3 9 p 1 5 B2 B 1/6 7 kl / 1 = 27 p Case 2: Suppose now that kl / 1 < 3 7 1/6 / δ that is p 1 5/3 B > T1. From 52 we can assume that kl / 1 > δ an from 7 that kl/ 1 1/ p 1 > 10 1/ 21 k + l 5/ δ 1/2. So T 1 >.1728 kl / 1 3/2 δ 3 δ 1/3 p / kl / 1 1/ p / kl / 1 1/ p 1 k + l/ 1 5/ δ 1/2 1/ / 10 5/ 1 >.79 5/ 1, 21 an T an T 5 T 1. We take J = T + 1, where T 3/5 T 3/5 1 < p 1/B. Hence, with C u T B/T 2/5 from 8, 50 gives δ 7/ N C u i 2 < 9 5 B2 T 1/5 0.50B 2 + B T p 1 BT 3/5 2/5 = 9 B 5 T p 1 2/5 0.50B2 B p 1 BT 3/5 5 T 2/5 < 9 B p 1 5 T 2/5 < 9 B T p 1 = δ 2/ /10 p Decimations an a boun on M k, l Of inepenent interest an as a byprouct of the proof of Theorem 1.3 we also prove the following boun on M k, l: Theorem 7.1. Let c = If 16/23 p 1 53 = k l, p 1 < c 1,

19 BINOMIAL SUMS 19 16/23 p 1 5 k, p 1 < c 1, an 7/23 p 1 55 l, p 1 < c, then M k, l /23 p 1 66/23. The theorem has a irect application to a conjecture of Goresky an Klapper [13] on the ecimation of l-sequences. Let E = {2,, 6,..., p 1} be the set of non-zero even resiues in Z p an O = {1, 3, 5,..., p 2} the set of o resiues. If k, p 1 = 1 an p A then the mapping x Ax k is a permutation of Z p. Our interest is in etermining when it is a permutation of E. The conjecture is essentially equivalent to the following. GK-conjecture: For p > 13, if the mapping x Ax k is a nontrivial permutation of Z p then there exists an x E such that Ax k O. In [7] Bourgain, Paulhus an the authors establishe the conjecture for p > Here we obtain, Corollary 7.1. The GK-conjecture hols for p > Proof. By [7] Theorem 1 we know that the GK-conjecture hols as long as M = M + k, 1 < p 3. If 1.62p 16/23 then = 1 an k, p 1 = 1 by Theorem 7.1 we have M 27.57p 1 66/23 an the conjecture hols for p larger than 23/ If p > an > 1.62p 16/23 then > 10 p an the result follows from Theorem b of [7]. 8. Proof of Theorems 1.3 an 7.1 For Theorem 1.3 we nee to show that S k, l / 13/6 p 89/92 an for Theorem 7.1 that subject to restrictions 53, 5,55 M k, l /23 p 1 66/23. Observing the trivial bouns S k, l p, an M k, l p 1 3 we may certainly assume that 56 p > /3 26/3 for Theorem 1.3 an 57 p 1 > /3 for Theorem 7.1. Make a change of variables x x m with m chosen so that 58 mk α mo p 1, ml β mo p 1,

20 20 TODD COCHRANE AND CHRISTOPHER PINNER plus sign for S + k, l or M + k, l an minus for S k, l or M k, l with 59 0 α 1 c 7/23 p 1 16/23, β c 16/23 p 1 7/23, c = , α, β 0, 0. Such a pair α, β exists since the set of all α, β satisfying 58 is a lattice of volume p 1 or one can apply Dirichlet s box principle. Set λ = α, β, p 1, λ 1 = α, β. an β = { β if β > 0, 2 β if β < 0, { α β δ + if β > 0, = λ 1 δ if β < 0. Suppose first that α, β 0, α β. We will establish that for the pair α, β we have 60 Mα, β /23 p 66/23. From Lemma 1 of [7] we know that M k, l Mα, β an Theorem 7.1 is clear. Suppose that m, p 1 = ν an write Z p/z p m = {w 1,..., w ν } so that 61 S k, l = 1 ν ν S i α, β, S i α, β = e p aw k i x α + bw l i x β. Since α, β 0, α β the inner sum S i α, β in 61 is a genuine binomial sum. Thus by 25 an 60 S i α, β / p p x= / 13/6 p 89/92, an S k, l / 13/6 p 89/92, proving Theorem 1.3. We consier separately the three cases: Case 1: α β, Case 2: α > β an α + β 5 δ αβ /λ 1 p 1, Case 3: α > β an α + β 5 δ αβ /λ 1 p 1, Case 1: From 26, 59 an 57 or 56 Mα, β 3α β p β 2 p c 2 32/23 p 1 60/23 = 30, 000c2 6/23 26/23 p 1 66/23 < p 1 In Cases 2 to we have α > β an Case 2: In this case we have α λ 1 δ + α λ 1, 30, 000c /23 p 1 66/23 < /23 p 1 66/23. α λ 1 δ α λ 1. β 1 α + β 5 λ αp 1 δ α p 1, λ 1

21 BINOMIAL SUMS 21 an, using that λ 1, Mα, β 3 2 αβ p α 7 p c 7 26/23 p 1 66/23 < /23 p 1 66/23. Case 3: Here we can apply Theorem 5.1 to obtain where Since an λ λ 1 β, we have αβ /λ 1 δ 1/3 while using 57 Mα, β λ 2 p α 2 β p 1 + p 1 2 µ, { } µ max αβ /λ 1 λ, δ δ 1/3 λ. β δ 1/3 λ α 2/3 β 2 β α/λ 1 1/3, λ λ 2/ α 2/3 β / c 2/3 26/23 p 1 20/23 < /23 p 1 20/23, δ λ < α c 1 7/23 p 1 16/23 = c 1 3/23 p 1 20/ c /3 3/23 p 1 20/23 < 0.3 3/23 p 1 20/23. So p 1 2 µ /23 p 1 66/23. From the lower boun 57 an λ 2 p 1 2 β 2 p 1 2 c 2 32/23 p 1 60/23 = c 2 p 1 c /23 p 1 66/23 < /23 p 1 66/23, 2α 2 β p 1 α 2 β p 1 c 30/23 p 1 62/23 = Hence < c p 1 6/23 26/23 p 1 66/23 /23 26/23 p 1 66/23 c /3 26/23 p 1 66/23 < /23 p 1 66/23. Mα, β < /23 p 1 66/23 < /23 p 1 66/23. It remains to consier α = β or α = 0 or β = 0. If α = β then mk ml mo p 1. So p 1 m an p 1 β. In particular p 1 β c 16/23 p 1 7/23 an c 1 p 1 16/23. This is rule out in Theorem 7.1 by 53. p 1 /23

22 22 TODD COCHRANE AND CHRISTOPHER PINNER For Theorem 1.3 we use Lemma 5.2, with < /26 p 3/26 from 56, to get 5/8 S k, l p 5/ c 5/8 1 p 1 10/23 195/18 p 75/92 < /6 13/18 p 75/ /6 p 3/26 = / /16 13/6 p 333/368 < /6 p 89/92 1/16. 13/18 p 75/92 If α = 0 then p 1 mk. Hence p 1 p 1 p 1,k m an p 1,k β c16/23 p 1 7/23, an so p 1, k c 1 p 1 16/23. This is rule out in Theorem 7.1 by 5. For Theorem 1.3 we have by the Weil boun for exponential sums, S k, l β p c 16/23 p 37/6 = c 13/6 /p 3/26 19/6 p 1019/1196 c /52 13/6 p 1019/1196 < /6 p 89/92 3/26. Similarly if β = 0 then p 1 ml. So p 1 p 1 p 1 p 1,l m an p 1,l α, an so p 1,l α c 1 7/23 p 1 16/23. Hence p 1, l c p 1 7/23; again rule out in Theorem 7.1 by 55. For Theorem 1.3 we have, from Theorem.1 with λ = , 1/2 S k, l p /88 p 21/22 l, p 1 1 c 1/2 1 1/p 7/6 15/23 p 39/ /88 p 21/ /23 p 39/ /88 p 21/22 = 13/6 p 89/ /p3/26 17/ p 1/13 p 13/ /6 p 89/ / / /132 References < /6 p 89/92. [1] N. M. Akulinicev, Bouns for rational trigonometric sums of a special type, Russian Dokl. Aka. Nauk SSSR , [2] J. Bourgain, Morell s exponential sum estimate revistite, J. Amer. Math. Soc. 18, no , [3] J. Bourgain, Multilinear exponential sums in prime fiels uner optimal entropy conition on the sources, Geom. funct. anal , [] J. Bourgain an M. Z. Garaev, On a variant of sum-prouct estimates an explicit exponential sum bouns in prime fiels., Math. Proc. Cambrige Philos. Soc , no. 1, [5] J. Bourgain, A. A. Glibichuk an S. V. Konyagin, Estimates for the number of sums an proucts an for exponential sums in fiels of prime orer, J. Lonon Math. Soc , no. 2, [6] J. Bourgain an S. V. Konyagin, Estimates for the number of sums an proucts an for exponential sums over subgroups in fiels of prime orer, C. R. Math. Aca. Sci. Paris , no. 2,

23 BINOMIAL SUMS 23 [7] J. Bourgain, T. Cochrane, J. Paulhus an C. Pinner, Decimations of L-sequences an permutations of even resiues mo p, SIAM J. of Discrete Math , no. 2, [8] T. Cochrane an C. Pinner, Stepanov s metho applie to binomial exponential sums, Quart. J. Math , [9], An improve Morell type boun for exponential sums, Proc. Amer. Math. Soc , no. 2, [10], Bouns on fewnomial exponential sums over Z p, preprint [11], Exponential sums over subgroups of Z p, preprint [12] A. Garcia an J.F. Voloch, Fermat curves over finite fiels, J. Number Theory , [13] M. Goresky, A. Klapper, Arithmetic cross-correlations of FCSR sequences, IEEE Trans. Inform. Theory, , [1] D.R. Heath-Brown an S.V. Konyagin, New bouns for Gauss sums erive from kth powers, an for Heilbronn s exponential sum, Q. J. Math , no. 2, [15] S.V. Konyagin, Estimates for trigonometric sums over subgroups an for Gauss sums. Russian IV International Conference Moern Problems of Number Theory an its Applications : Current Problems, Part III Russian Tula, 2001, 86 11, Mosk. Gos. Univ. im. Lomonosova, Mekh.-Mat. Fak., Moscow, [16] S. V. Konyagin an I. E. Shparlinski, Character sums with exponential functions an their applications, Cambrige Univ. Press, Cambrige, [17] S. Mattarei, On a boun of Garcia an Voloch for the number of points of a Fermat Curve over a prime fiel, Finite Fiels an Applications 13, no., 2007, [18] O. Moreno an F.N. Castro, On the calculation an estimation of Waring number for finite fiels, Séminaires et Congrès , [19] A. Weil, Number of solutions of equations in finite fiels, Bull. AMS , [20] Hong Bing Yu, Estimates for complete exponential sums of special types, Math. Proc. Cambrige Philos. Soc , no. 2, Department of Mathematics, Kansas State University, Manhattan, KS aress: cochrane@math.ksu.eu Department of Mathematics, Kansas State University, Manhattan, KS aress: pinner@math.ksu.eu

A FURTHER REFINEMENT OF MORDELL S BOUND ON EXPONENTIAL SUMS

A FURTHER REFINEMENT OF MORDELL S BOUND ON EXPONENTIAL SUMS A FURTHER REFINEMENT OF MORDELL S BOUND ON EXPONENTIAL SUMS TODD COCHRANE, JEREMY COFFELT, AND CHRISTOPHER PINNER 1. Introuction For a prime p, integer Laurent polynomial (1.1) f(x) = a 1 x k 1 + + a r

More information

SUM-PRODUCT ESTIMATES APPLIED TO WARING S PROBLEM MOD P

SUM-PRODUCT ESTIMATES APPLIED TO WARING S PROBLEM MOD P SUM-PRODUCT ESTIMATES APPLIED TO WARING S PROBLEM MOD P TODD COCHRANE AND CHRISTOPHER PINNER Abstract. Let γ(k, p) denote Waring s number (mod p) and δ(k, p) denote the ± Waring s number (mod p). We use

More information

SUM-PRODUCT ESTIMATES APPLIED TO WARING S PROBLEM OVER FINITE FIELDS

SUM-PRODUCT ESTIMATES APPLIED TO WARING S PROBLEM OVER FINITE FIELDS #A68 INTEGERS 11 (011) SUM-PRODUCT ESTIMATES APPLIED TO WARING S PROBLEM OVER FINITE FIELDS Todd Cochrane 1 Department of Mathematics, Kansas State University, Manhattan, Kansas cochrane@math.ksu.edu James

More information

Acute sets in Euclidean spaces

Acute sets in Euclidean spaces Acute sets in Eucliean spaces Viktor Harangi April, 011 Abstract A finite set H in R is calle an acute set if any angle etermine by three points of H is acute. We examine the maximal carinality α() of

More information

ALGEBRAIC AND ANALYTIC PROPERTIES OF ARITHMETIC FUNCTIONS

ALGEBRAIC AND ANALYTIC PROPERTIES OF ARITHMETIC FUNCTIONS ALGEBRAIC AND ANALYTIC PROPERTIES OF ARITHMETIC FUNCTIONS MARK SCHACHNER Abstract. When consiere as an algebraic space, the set of arithmetic functions equippe with the operations of pointwise aition an

More information

arxiv: v1 [math.nt] 4 Oct 2016

arxiv: v1 [math.nt] 4 Oct 2016 ON SOME MULTIPLE CHARACTER SUMS arxiv:1610.01061v1 [math.nt] 4 Oct 2016 ILYA D. SHKREDOV AND IGOR E. SHPARLINSKI Abstract. We improve a recent result of B. Hanson (2015) on multiplicative character sums

More information

FINITE FIELDS AND APPLICATIONS Additive Combinatorics in finite fields (3 lectures)

FINITE FIELDS AND APPLICATIONS Additive Combinatorics in finite fields (3 lectures) FINITE FIELDS AND APPLICATIONS Additive Combinatorics in finite fields (3 lectures) Ana Zumalacárregui a.zumalacarregui@unsw.edu.au November 30, 2015 Contents 1 Operations on sets 1 2 Sum-product theorem

More information

Discrete Mathematics

Discrete Mathematics Discrete Mathematics 309 (009) 86 869 Contents lists available at ScienceDirect Discrete Mathematics journal homepage: wwwelseviercom/locate/isc Profile vectors in the lattice of subspaces Dániel Gerbner

More information

Iterated Point-Line Configurations Grow Doubly-Exponentially

Iterated Point-Line Configurations Grow Doubly-Exponentially Iterate Point-Line Configurations Grow Doubly-Exponentially Joshua Cooper an Mark Walters July 9, 008 Abstract Begin with a set of four points in the real plane in general position. A to this collection

More information

SELBERG S ORTHOGONALITY CONJECTURE FOR AUTOMORPHIC L-FUNCTIONS

SELBERG S ORTHOGONALITY CONJECTURE FOR AUTOMORPHIC L-FUNCTIONS SELBERG S ORTHOGONALITY CONJECTURE FOR AUTOMORPHIC L-FUNCTIONS JIANYA LIU 1 AND YANGBO YE 2 Abstract. Let π an π be automorphic irreucible unitary cuspial representations of GL m (Q A ) an GL m (Q A ),

More information

Roots of Polynomials in Subgroups of F p and Applications to Congruences

Roots of Polynomials in Subgroups of F p and Applications to Congruences Roots of Polynomials in Subgroups of F p and Applications to Congruences Enrico Bombieri, Jean Bourgain, Sergei Konyagin IAS, Princeton, IAS Princeton, Moscow State University The decimation problem Let

More information

Congruences involving product of intervals and sets with small multiplicative doubling modulo a prime

Congruences involving product of intervals and sets with small multiplicative doubling modulo a prime Congruences involving product of intervals and sets with small multiplicative doubling modulo a prime J. Cilleruelo and M. Z. Garaev Abstract We obtain a sharp upper bound estimate of the form Hp o(1)

More information

Stable Polynomials over Finite Fields

Stable Polynomials over Finite Fields Rev. Mat. Iberoam., 1 14 c European Mathematical Society Stable Polynomials over Finite Fiels Domingo Gómez-Pérez, Alejanro P. Nicolás, Alina Ostafe an Daniel Saornil Abstract. We use the theory of resultants

More information

Agmon Kolmogorov Inequalities on l 2 (Z d )

Agmon Kolmogorov Inequalities on l 2 (Z d ) Journal of Mathematics Research; Vol. 6, No. ; 04 ISSN 96-9795 E-ISSN 96-9809 Publishe by Canaian Center of Science an Eucation Agmon Kolmogorov Inequalities on l (Z ) Arman Sahovic Mathematics Department,

More information

NOTES ON EULER-BOOLE SUMMATION (1) f (l 1) (n) f (l 1) (m) + ( 1)k 1 k! B k (y) f (k) (y) dy,

NOTES ON EULER-BOOLE SUMMATION (1) f (l 1) (n) f (l 1) (m) + ( 1)k 1 k! B k (y) f (k) (y) dy, NOTES ON EULER-BOOLE SUMMATION JONATHAN M BORWEIN, NEIL J CALKIN, AND DANTE MANNA Abstract We stuy a connection between Euler-MacLaurin Summation an Boole Summation suggeste in an AMM note from 196, which

More information

Combinatorica 9(1)(1989) A New Lower Bound for Snake-in-the-Box Codes. Jerzy Wojciechowski. AMS subject classification 1980: 05 C 35, 94 B 25

Combinatorica 9(1)(1989) A New Lower Bound for Snake-in-the-Box Codes. Jerzy Wojciechowski. AMS subject classification 1980: 05 C 35, 94 B 25 Combinatorica 9(1)(1989)91 99 A New Lower Boun for Snake-in-the-Box Coes Jerzy Wojciechowski Department of Pure Mathematics an Mathematical Statistics, University of Cambrige, 16 Mill Lane, Cambrige, CB2

More information

Generalized incidence theorems, homogeneous forms and sum-product estimates in finite fields arxiv: v2 [math.

Generalized incidence theorems, homogeneous forms and sum-product estimates in finite fields arxiv: v2 [math. Generalized incidence theorems, homogeneous forms and sum-product estimates in finite fields arxiv:0801.0728v2 [math.co] 31 Mar 2008 David Covert, Derrick Hart, Alex Iosevich, Doowon Koh, and Misha Rudnev

More information

On the parity of k-th powers modulo p

On the parity of k-th powers modulo p On the parity of k-th powers modulo p Jennifer Paulhus Kansas State University paulhus@math.ksu.edu www.math.ksu.edu/ paulhus This is joint work with Todd Cochrane and Chris Pinner of Kansas State University

More information

Zachary Scherr Math 503 HW 3 Due Friday, Feb 12

Zachary Scherr Math 503 HW 3 Due Friday, Feb 12 Zachary Scherr Math 503 HW 3 Due Friay, Feb 1 1 Reaing 1. Rea sections 7.5, 7.6, 8.1 of Dummit an Foote Problems 1. DF 7.5. Solution: This problem is trivial knowing how to work with universal properties.

More information

REAL ANALYSIS I HOMEWORK 5

REAL ANALYSIS I HOMEWORK 5 REAL ANALYSIS I HOMEWORK 5 CİHAN BAHRAN The questions are from Stein an Shakarchi s text, Chapter 3. 1. Suppose ϕ is an integrable function on R with R ϕ(x)x = 1. Let K δ(x) = δ ϕ(x/δ), δ > 0. (a) Prove

More information

Euler equations for multiple integrals

Euler equations for multiple integrals Euler equations for multiple integrals January 22, 2013 Contents 1 Reminer of multivariable calculus 2 1.1 Vector ifferentiation......................... 2 1.2 Matrix ifferentiation........................

More information

Permanent vs. Determinant

Permanent vs. Determinant Permanent vs. Determinant Frank Ban Introuction A major problem in theoretical computer science is the Permanent vs. Determinant problem. It asks: given an n by n matrix of ineterminates A = (a i,j ) an

More information

Some vector algebra and the generalized chain rule Ross Bannister Data Assimilation Research Centre, University of Reading, UK Last updated 10/06/10

Some vector algebra and the generalized chain rule Ross Bannister Data Assimilation Research Centre, University of Reading, UK Last updated 10/06/10 Some vector algebra an the generalize chain rule Ross Bannister Data Assimilation Research Centre University of Reaing UK Last upate 10/06/10 1. Introuction an notation As we shall see in these notes the

More information

A Note on Exact Solutions to Linear Differential Equations by the Matrix Exponential

A Note on Exact Solutions to Linear Differential Equations by the Matrix Exponential Avances in Applie Mathematics an Mechanics Av. Appl. Math. Mech. Vol. 1 No. 4 pp. 573-580 DOI: 10.4208/aamm.09-m0946 August 2009 A Note on Exact Solutions to Linear Differential Equations by the Matrix

More information

Chapter 5. Factorization of Integers

Chapter 5. Factorization of Integers Chapter 5 Factorization of Integers 51 Definition: For a, b Z we say that a ivies b (or that a is a factor of b, or that b is a multiple of a, an we write a b, when b = ak for some k Z 52 Theorem: (Basic

More information

FLUCTUATIONS IN THE NUMBER OF POINTS ON SMOOTH PLANE CURVES OVER FINITE FIELDS. 1. Introduction

FLUCTUATIONS IN THE NUMBER OF POINTS ON SMOOTH PLANE CURVES OVER FINITE FIELDS. 1. Introduction FLUCTUATIONS IN THE NUMBER OF POINTS ON SMOOTH PLANE CURVES OVER FINITE FIELDS ALINA BUCUR, CHANTAL DAVID, BROOKE FEIGON, MATILDE LALÍN 1 Introuction In this note, we stuy the fluctuations in the number

More information

Incomplete exponential sums over finite fields and their applications to new inversive pseudorandom number generators

Incomplete exponential sums over finite fields and their applications to new inversive pseudorandom number generators ACTA ARITHMETICA XCIII.4 (2000 Incomplete exponential sums over finite fields and their applications to new inversive pseudorandom number generators by Harald Niederreiter and Arne Winterhof (Wien 1. Introduction.

More information

On the enumeration of partitions with summands in arithmetic progression

On the enumeration of partitions with summands in arithmetic progression AUSTRALASIAN JOURNAL OF COMBINATORICS Volume 8 (003), Pages 149 159 On the enumeration of partitions with summans in arithmetic progression M. A. Nyblom C. Evans Department of Mathematics an Statistics

More information

ON THE DISTANCE BETWEEN SMOOTH NUMBERS

ON THE DISTANCE BETWEEN SMOOTH NUMBERS #A25 INTEGERS (20) ON THE DISTANCE BETWEEN SMOOTH NUMBERS Jean-Marie De Koninc Département e mathématiques et e statistique, Université Laval, Québec, Québec, Canaa jm@mat.ulaval.ca Nicolas Doyon Département

More information

On the minimum distance of elliptic curve codes

On the minimum distance of elliptic curve codes On the minimum istance of elliptic curve coes Jiyou Li Department of Mathematics Shanghai Jiao Tong University Shanghai PRChina Email: lijiyou@sjtueucn Daqing Wan Department of Mathematics University of

More information

ON PERMUTATION POLYNOMIALS OF PRESCRIBED SHAPE

ON PERMUTATION POLYNOMIALS OF PRESCRIBED SHAPE ON PERMUTATION POLYNOMIALS OF PRESCRIBED SHAPE AMIR AKBARY, DRAGOS GHIOCA, AND QIANG WANG Abstract. We count permutation polynomials of F q which are sums of m + 2 monomials of prescribed degrees. This

More information

SPARSE POLYNOMIAL EXPONENTIAL SUMS

SPARSE POLYNOMIAL EXPONENTIAL SUMS SPARSE POLNOMIAL EPONENTIAL SUMS TODD COCHRANE, CHRISTOPHER PINNER, AND JASON ROSENHOUSE. Introduction In this paper we estimate the complete exponential sum (.) S(f; q) = q x= e q(f(x)); where e q( )

More information

The least k-th power non-residue

The least k-th power non-residue The least k-th power non-resiue Enriue Treviño Department of Mathematics an Computer Science Lake Forest College Lake Forest, Illinois 60045, USA Abstract Let p be a prime number an let k 2 be a ivisor

More information

LEGENDRE TYPE FORMULA FOR PRIMES GENERATED BY QUADRATIC POLYNOMIALS

LEGENDRE TYPE FORMULA FOR PRIMES GENERATED BY QUADRATIC POLYNOMIALS Ann. Sci. Math. Québec 33 (2009), no 2, 115 123 LEGENDRE TYPE FORMULA FOR PRIMES GENERATED BY QUADRATIC POLYNOMIALS TAKASHI AGOH Deicate to Paulo Ribenboim on the occasion of his 80th birthay. RÉSUMÉ.

More information

MATH 566, Final Project Alexandra Tcheng,

MATH 566, Final Project Alexandra Tcheng, MATH 566, Final Project Alexanra Tcheng, 60665 The unrestricte partition function pn counts the number of ways a positive integer n can be resse as a sum of positive integers n. For example: p 5, since

More information

ON THE MAXIMUM NUMBER OF CONSECUTIVE INTEGERS ON WHICH A CHARACTER IS CONSTANT

ON THE MAXIMUM NUMBER OF CONSECUTIVE INTEGERS ON WHICH A CHARACTER IS CONSTANT ON THE MAXIMUM NUMBER OF CONSECUTIVE INTEGERS ON WHICH A CHARACTER IS CONSTANT ENRIQUE TREVIÑO Abstract Let χ be a non-principal Dirichlet character to the prime moulus p In 1963, Burgess showe that the

More information

Lower Bounds for the Smoothed Number of Pareto optimal Solutions

Lower Bounds for the Smoothed Number of Pareto optimal Solutions Lower Bouns for the Smoothe Number of Pareto optimal Solutions Tobias Brunsch an Heiko Röglin Department of Computer Science, University of Bonn, Germany brunsch@cs.uni-bonn.e, heiko@roeglin.org Abstract.

More information

A Weak First Digit Law for a Class of Sequences

A Weak First Digit Law for a Class of Sequences International Mathematical Forum, Vol. 11, 2016, no. 15, 67-702 HIKARI Lt, www.m-hikari.com http://x.oi.org/10.1288/imf.2016.6562 A Weak First Digit Law for a Class of Sequences M. A. Nyblom School of

More information

Interconnected Systems of Fliess Operators

Interconnected Systems of Fliess Operators Interconnecte Systems of Fliess Operators W. Steven Gray Yaqin Li Department of Electrical an Computer Engineering Ol Dominion University Norfolk, Virginia 23529 USA Abstract Given two analytic nonlinear

More information

Math 300 Winter 2011 Advanced Boundary Value Problems I. Bessel s Equation and Bessel Functions

Math 300 Winter 2011 Advanced Boundary Value Problems I. Bessel s Equation and Bessel Functions Math 3 Winter 2 Avance Bounary Value Problems I Bessel s Equation an Bessel Functions Department of Mathematical an Statistical Sciences University of Alberta Bessel s Equation an Bessel Functions We use

More information

arxiv: v1 [math.co] 15 Sep 2015

arxiv: v1 [math.co] 15 Sep 2015 Circular coloring of signe graphs Yingli Kang, Eckhar Steffen arxiv:1509.04488v1 [math.co] 15 Sep 015 Abstract Let k, ( k) be two positive integers. We generalize the well stuie notions of (k, )-colorings

More information

Witt#5: Around the integrality criterion 9.93 [version 1.1 (21 April 2013), not completed, not proofread]

Witt#5: Around the integrality criterion 9.93 [version 1.1 (21 April 2013), not completed, not proofread] Witt vectors. Part 1 Michiel Hazewinkel Sienotes by Darij Grinberg Witt#5: Aroun the integrality criterion 9.93 [version 1.1 21 April 2013, not complete, not proofrea In [1, section 9.93, Hazewinkel states

More information

Lecture 5. Symmetric Shearer s Lemma

Lecture 5. Symmetric Shearer s Lemma Stanfor University Spring 208 Math 233: Non-constructive methos in combinatorics Instructor: Jan Vonrák Lecture ate: January 23, 208 Original scribe: Erik Bates Lecture 5 Symmetric Shearer s Lemma Here

More information

Resistant Polynomials and Stronger Lower Bounds for Depth-Three Arithmetical Formulas

Resistant Polynomials and Stronger Lower Bounds for Depth-Three Arithmetical Formulas Resistant Polynomials an Stronger Lower Bouns for Depth-Three Arithmetical Formulas Maurice J. Jansen an Kenneth W.Regan University at Buffalo (SUNY) Abstract. We erive quaratic lower bouns on the -complexity

More information

On non-antipodal binary completely regular codes

On non-antipodal binary completely regular codes Discrete Mathematics 308 (2008) 3508 3525 www.elsevier.com/locate/isc On non-antipoal binary completely regular coes J. Borges a, J. Rifà a, V.A. Zinoviev b a Department of Information an Communications

More information

A new proof of the sharpness of the phase transition for Bernoulli percolation on Z d

A new proof of the sharpness of the phase transition for Bernoulli percolation on Z d A new proof of the sharpness of the phase transition for Bernoulli percolation on Z Hugo Duminil-Copin an Vincent Tassion October 8, 205 Abstract We provie a new proof of the sharpness of the phase transition

More information

WARING S NUMBER IN FINITE FIELDS JAMES ARTHUR CIPRA. B.S., Kansas State University, 2000 M.S., Kansas State University, 2004

WARING S NUMBER IN FINITE FIELDS JAMES ARTHUR CIPRA. B.S., Kansas State University, 2000 M.S., Kansas State University, 2004 WARING S NUMBER IN FINITE FIELDS by JAMES ARTHUR CIPRA B.S., Kansas State University, 2000 M.S., Kansas State University, 2004 AN ABSTRACT OF A DISSERTATION submitted in partial fulfillment of the requirements

More information

The density of rational points on non-singular hypersurfaces, I

The density of rational points on non-singular hypersurfaces, I The density of rational points on non-singular hypersurfaces, I T.D. Browning 1 and D.R. Heath-Brown 2 1 School of Mathematics, Bristol University, Bristol BS8 1TW 2 Mathematical Institute,24 29 St. Giles,Oxford

More information

Equal Sums of Three Powers

Equal Sums of Three Powers Equal Sums of Three Powers T.D. Browning an D.R. Heath-Brown Mathematical Institute, Oxfor 1 Introuction In this paper we shall be concerne with the number N (B) of positive integer solutions to the equation

More information

On the elliptic curve analogue of the sum-product problem

On the elliptic curve analogue of the sum-product problem Finite Fields and Their Applications 14 (2008) 721 726 http://www.elsevier.com/locate/ffa On the elliptic curve analogue of the sum-product problem Igor Shparlinski Department of Computing, Macuarie University,

More information

A combinatorial problem related to Mahler s measure

A combinatorial problem related to Mahler s measure A combinatorial problem related to Mahler s measure W. Duke ABSTRACT. We give a generalization of a result of Myerson on the asymptotic behavior of norms of certain Gaussian periods. The proof exploits

More information

SUM-PRODUCT ESTIMATES IN FINITE FIELDS VIA KLOOSTERMAN SUMS

SUM-PRODUCT ESTIMATES IN FINITE FIELDS VIA KLOOSTERMAN SUMS SUM-PRODUCT ESTIMATES IN FINITE FIELDS VIA KLOOSTERMAN SUMS DERRICK HART, ALEX IOSEVICH, AND JOZSEF SOLYMOSI Abstract. We establish improved sum-product bounds in finite fields using incidence theorems

More information

The chromatic number of graph powers

The chromatic number of graph powers Combinatorics, Probability an Computing (19XX) 00, 000 000. c 19XX Cambrige University Press Printe in the Unite Kingom The chromatic number of graph powers N O G A A L O N 1 an B O J A N M O H A R 1 Department

More information

International Journal of Pure and Applied Mathematics Volume 35 No , ON PYTHAGOREAN QUADRUPLES Edray Goins 1, Alain Togbé 2

International Journal of Pure and Applied Mathematics Volume 35 No , ON PYTHAGOREAN QUADRUPLES Edray Goins 1, Alain Togbé 2 International Journal of Pure an Applie Mathematics Volume 35 No. 3 007, 365-374 ON PYTHAGOREAN QUADRUPLES Eray Goins 1, Alain Togbé 1 Department of Mathematics Purue University 150 North University Street,

More information

SINGULAR PERTURBATION AND STATIONARY SOLUTIONS OF PARABOLIC EQUATIONS IN GAUSS-SOBOLEV SPACES

SINGULAR PERTURBATION AND STATIONARY SOLUTIONS OF PARABOLIC EQUATIONS IN GAUSS-SOBOLEV SPACES Communications on Stochastic Analysis Vol. 2, No. 2 (28) 289-36 Serials Publications www.serialspublications.com SINGULAR PERTURBATION AND STATIONARY SOLUTIONS OF PARABOLIC EQUATIONS IN GAUSS-SOBOLEV SPACES

More information

arxiv: v2 [math.cv] 2 Mar 2018

arxiv: v2 [math.cv] 2 Mar 2018 The quaternionic Gauss-Lucas Theorem Riccaro Ghiloni Alessanro Perotti Department of Mathematics, University of Trento Via Sommarive 14, I-38123 Povo Trento, Italy riccaro.ghiloni@unitn.it, alessanro.perotti@unitn.it

More information

EXPONENTIAL SUMS EQUIDISTRIBUTION

EXPONENTIAL SUMS EQUIDISTRIBUTION EXPONENTIAL SUMS EQUIDISTRIBUTION PSEUDORANDOMNESS (1) Exponential sums over subgroups General philosophy: multiplicative subgroups are well-distributed even if they are very small Conjecture. (M-V-W)

More information

arxiv:math/ v3 [math.co] 15 Oct 2006

arxiv:math/ v3 [math.co] 15 Oct 2006 arxiv:math/060946v3 [math.co] 15 Oct 006 and SUM-PRODUCT ESTIMATES IN FINITE FIELDS VIA KLOOSTERMAN SUMS DERRICK HART, ALEX IOSEVICH, AND JOZSEF SOLYMOSI Abstract. We establish improved sum-product bounds

More information

CHAPTER 1 : DIFFERENTIABLE MANIFOLDS. 1.1 The definition of a differentiable manifold

CHAPTER 1 : DIFFERENTIABLE MANIFOLDS. 1.1 The definition of a differentiable manifold CHAPTER 1 : DIFFERENTIABLE MANIFOLDS 1.1 The efinition of a ifferentiable manifol Let M be a topological space. This means that we have a family Ω of open sets efine on M. These satisfy (1), M Ω (2) the

More information

LATTICE-BASED D-OPTIMUM DESIGN FOR FOURIER REGRESSION

LATTICE-BASED D-OPTIMUM DESIGN FOR FOURIER REGRESSION The Annals of Statistics 1997, Vol. 25, No. 6, 2313 2327 LATTICE-BASED D-OPTIMUM DESIGN FOR FOURIER REGRESSION By Eva Riccomagno, 1 Rainer Schwabe 2 an Henry P. Wynn 1 University of Warwick, Technische

More information

arxiv: v1 [math.co] 31 Mar 2008

arxiv: v1 [math.co] 31 Mar 2008 On the maximum size of a (k,l)-sum-free subset of an abelian group arxiv:080386v1 [mathco] 31 Mar 2008 Béla Bajnok Department of Mathematics, Gettysburg College Gettysburg, PA 17325-186 USA E-mail: bbajnok@gettysburgeu

More information

José Felipe Voloch. Abstract: We discuss the problem of constructing elements of multiplicative high

José Felipe Voloch. Abstract: We discuss the problem of constructing elements of multiplicative high On the order of points on curves over finite fields José Felipe Voloch Abstract: We discuss the problem of constructing elements of multiplicative high order in finite fields of large degree over their

More information

2Algebraic ONLINE PAGE PROOFS. foundations

2Algebraic ONLINE PAGE PROOFS. foundations Algebraic founations. Kick off with CAS. Algebraic skills.3 Pascal s triangle an binomial expansions.4 The binomial theorem.5 Sets of real numbers.6 Surs.7 Review . Kick off with CAS Playing lotto Using

More information

GLOBAL SOLUTIONS FOR 2D COUPLED BURGERS-COMPLEX-GINZBURG-LANDAU EQUATIONS

GLOBAL SOLUTIONS FOR 2D COUPLED BURGERS-COMPLEX-GINZBURG-LANDAU EQUATIONS Electronic Journal of Differential Equations, Vol. 015 015), No. 99, pp. 1 14. ISSN: 107-6691. URL: http://eje.math.txstate.eu or http://eje.math.unt.eu ftp eje.math.txstate.eu GLOBAL SOLUTIONS FOR D COUPLED

More information

Chapter 6: Energy-Momentum Tensors

Chapter 6: Energy-Momentum Tensors 49 Chapter 6: Energy-Momentum Tensors This chapter outlines the general theory of energy an momentum conservation in terms of energy-momentum tensors, then applies these ieas to the case of Bohm's moel.

More information

Sharp Thresholds. Zachary Hamaker. March 15, 2010

Sharp Thresholds. Zachary Hamaker. March 15, 2010 Sharp Threshols Zachary Hamaker March 15, 2010 Abstract The Kolmogorov Zero-One law states that for tail events on infinite-imensional probability spaces, the probability must be either zero or one. Behavior

More information

BURGESS INEQUALITY IN F p 2. Mei-Chu Chang

BURGESS INEQUALITY IN F p 2. Mei-Chu Chang BURGESS INEQUALITY IN F p 2 Mei-Chu Chang Abstract. Let be a nontrivial multiplicative character of F p 2. We obtain the following results.. Given ε > 0, there is δ > 0 such that if ω F p 2\F p and I,

More information

WEIGHTED SELBERG ORTHOGONALITY AND UNIQUENESS OF FACTORIZATION OF AUTOMORPHIC L-FUNCTIONS

WEIGHTED SELBERG ORTHOGONALITY AND UNIQUENESS OF FACTORIZATION OF AUTOMORPHIC L-FUNCTIONS WEIGHTED SELBERG ORTHOGONALITY AND UNIQUENESS OF FACTORIZATION OF AUTOMORPHIC L-FUNCTIONS JIANYA LIU AND YANGBO YE 3 Abstract. We prove a weighte version of Selberg s orthogonality conjecture for automorphic

More information

7. Localization. (d 1, m 1 ) (d 2, m 2 ) d 3 D : d 3 d 1 m 2 = d 3 d 2 m 1. (ii) If (d 1, m 1 ) (d 1, m 1 ) and (d 2, m 2 ) (d 2, m 2 ) then

7. Localization. (d 1, m 1 ) (d 2, m 2 ) d 3 D : d 3 d 1 m 2 = d 3 d 2 m 1. (ii) If (d 1, m 1 ) (d 1, m 1 ) and (d 2, m 2 ) (d 2, m 2 ) then 7. Localization To prove Theorem 6.1 it becomes necessary to be able to a enominators to rings (an to moules), even when the rings have zero-ivisors. It is a tool use all the time in commutative algebra,

More information

Final Exam Study Guide and Practice Problems Solutions

Final Exam Study Guide and Practice Problems Solutions Final Exam Stuy Guie an Practice Problems Solutions Note: These problems are just some of the types of problems that might appear on the exam. However, to fully prepare for the exam, in aition to making

More information

THE EXPLICIT EXPRESSION OF THE DRAZIN INVERSE OF SUMS OF TWO MATRICES AND ITS APPLICATION

THE EXPLICIT EXPRESSION OF THE DRAZIN INVERSE OF SUMS OF TWO MATRICES AND ITS APPLICATION italian journal of pure an applie mathematics n 33 04 (45 6) 45 THE EXPLICIT EXPRESSION OF THE DRAZIN INVERSE OF SUMS OF TWO MATRICES AND ITS APPLICATION Xiaoji Liu Liang Xu College of Science Guangxi

More information

Ramsey numbers of some bipartite graphs versus complete graphs

Ramsey numbers of some bipartite graphs versus complete graphs Ramsey numbers of some bipartite graphs versus complete graphs Tao Jiang, Michael Salerno Miami University, Oxfor, OH 45056, USA Abstract. The Ramsey number r(h, K n ) is the smallest positive integer

More information

Higher-order Fourier analysis of F n p and the complexity of systems of linear forms

Higher-order Fourier analysis of F n p and the complexity of systems of linear forms Higher-order Fourier analysis of F n p and the complexity of systems of linear forms Hamed Hatami School of Computer Science, McGill University, Montréal, Canada hatami@cs.mcgill.ca Shachar Lovett School

More information

TOEPLITZ AND POSITIVE SEMIDEFINITE COMPLETION PROBLEM FOR CYCLE GRAPH

TOEPLITZ AND POSITIVE SEMIDEFINITE COMPLETION PROBLEM FOR CYCLE GRAPH English NUMERICAL MATHEMATICS Vol14, No1 Series A Journal of Chinese Universities Feb 2005 TOEPLITZ AND POSITIVE SEMIDEFINITE COMPLETION PROBLEM FOR CYCLE GRAPH He Ming( Λ) Michael K Ng(Ξ ) Abstract We

More information

Arithmetic progressions in multiplicative groups of finite fields

Arithmetic progressions in multiplicative groups of finite fields arxiv:1608.05449v2 [math.nt] 17 Nov 2016 Arithmetic progressions in multiplicative groups of finite fields Mei-Chu Chang Department of Mathematics University of California, Riverside mcc@math.ucr.edu Abstract

More information

Unit vectors with non-negative inner products

Unit vectors with non-negative inner products Unit vectors with non-negative inner proucts Bos, A.; Seiel, J.J. Publishe: 01/01/1980 Document Version Publisher s PDF, also known as Version of Recor (inclues final page, issue an volume numbers) Please

More information

Euler Equations: derivation, basic invariants and formulae

Euler Equations: derivation, basic invariants and formulae Euler Equations: erivation, basic invariants an formulae Mat 529, Lesson 1. 1 Derivation The incompressible Euler equations are couple with t u + u u + p = 0, (1) u = 0. (2) The unknown variable is the

More information

1 Parametric Bessel Equation and Bessel-Fourier Series

1 Parametric Bessel Equation and Bessel-Fourier Series 1 Parametric Bessel Equation an Bessel-Fourier Series Recall the parametric Bessel equation of orer n: x 2 y + xy + (a 2 x 2 n 2 )y = (1.1) The general solution is given by y = J n (ax) +Y n (ax). If we

More information

Physics 251 Results for Matrix Exponentials Spring 2017

Physics 251 Results for Matrix Exponentials Spring 2017 Physics 25 Results for Matrix Exponentials Spring 27. Properties of the Matrix Exponential Let A be a real or complex n n matrix. The exponential of A is efine via its Taylor series, e A A n = I + n!,

More information

Linear Algebra- Review And Beyond. Lecture 3

Linear Algebra- Review And Beyond. Lecture 3 Linear Algebra- Review An Beyon Lecture 3 This lecture gives a wie range of materials relate to matrix. Matrix is the core of linear algebra, an it s useful in many other fiels. 1 Matrix Matrix is the

More information

Resistant Polynomials and Stronger Lower Bounds for Depth-Three Arithmetical Formulas

Resistant Polynomials and Stronger Lower Bounds for Depth-Three Arithmetical Formulas Resistant Polynomials an Stronger Lower Bouns for Depth-Three Arithmetical Formulas Maurice J. Jansen University at Buffalo Kenneth W.Regan University at Buffalo Abstract We erive quaratic lower bouns

More information

Branch differences and Lambert W

Branch differences and Lambert W 2014 16th International Symposium on Symbolic an Numeric Algorithms for Scientific Computing Branch ifferences an Lambert W D. J. Jeffrey an J. E. Jankowski Department of Applie Mathematics, The University

More information

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors Math 18.02 Notes on ifferentials, the Chain Rule, graients, irectional erivative, an normal vectors Tangent plane an linear approximation We efine the partial erivatives of f( xy, ) as follows: f f( x+

More information

COUNTING VALUE SETS: ALGORITHM AND COMPLEXITY

COUNTING VALUE SETS: ALGORITHM AND COMPLEXITY COUNTING VALUE SETS: ALGORITHM AND COMPLEXITY QI CHENG, JOSHUA E. HILL, AND DAQING WAN Abstract. Let p be a prime. Given a polynomial in F p m[x] of egree over the finite fiel F p m, one can view it as

More information

Journal of Algebra. A class of projectively full ideals in two-dimensional Muhly local domains

Journal of Algebra. A class of projectively full ideals in two-dimensional Muhly local domains Journal of Algebra 32 2009 903 9 Contents lists available at ScienceDirect Journal of Algebra wwwelseviercom/locate/jalgebra A class of projectively full ieals in two-imensional Muhly local omains aymon

More information

arxiv: v1 [math.co] 7 Jul 2014

arxiv: v1 [math.co] 7 Jul 2014 Sum-ratio estimates over arbitrary finite fields Oliver Roche-Newton arxiv:1407.1654v1 [math.co] 7 Jul 2014 July 11, 2018 Abstract The aim of this note is to record a proof that the estimate max{ A+A,

More information

MINIMAL MAHLER MEASURE IN REAL QUADRATIC FIELDS. 1. Introduction

MINIMAL MAHLER MEASURE IN REAL QUADRATIC FIELDS. 1. Introduction INIAL AHLER EASURE IN REAL QUADRATIC FIELDS TODD COCHRANE, R.. S. DISSANAYAKE, NICHOLAS DONOHOUE,. I.. ISHAK, VINCENT PIGNO, CHRIS PINNER, AND CRAIG SPENCER Abstract. We consier uer an lower bouns on the

More information

Monotonicity for excited random walk in high dimensions

Monotonicity for excited random walk in high dimensions Monotonicity for excite ranom walk in high imensions Remco van er Hofsta Mark Holmes March, 2009 Abstract We prove that the rift θ, β) for excite ranom walk in imension is monotone in the excitement parameter

More information

A short proof of Klyachko s theorem about rational algebraic tori

A short proof of Klyachko s theorem about rational algebraic tori A short proof of Klyachko s theorem about rational algebraic tori Mathieu Florence Abstract In this paper, we give another proof of a theorem by Klyachko ([?]), which asserts that Zariski s conjecture

More information

Linear First-Order Equations

Linear First-Order Equations 5 Linear First-Orer Equations Linear first-orer ifferential equations make up another important class of ifferential equations that commonly arise in applications an are relatively easy to solve (in theory)

More information

IPA Derivatives for Make-to-Stock Production-Inventory Systems With Backorders Under the (R,r) Policy

IPA Derivatives for Make-to-Stock Production-Inventory Systems With Backorders Under the (R,r) Policy IPA Derivatives for Make-to-Stock Prouction-Inventory Systems With Backorers Uner the (Rr) Policy Yihong Fan a Benamin Melame b Yao Zhao c Yorai Wari Abstract This paper aresses Infinitesimal Perturbation

More information

the electronic journal of combinatorics 4 (997), #R22 2 x. Introuction an the main results Asymptotic calculations are applie to stuy the egrees of ce

the electronic journal of combinatorics 4 (997), #R22 2 x. Introuction an the main results Asymptotic calculations are applie to stuy the egrees of ce Asymptotics of oung Diagrams an Hook Numbers Amitai Regev Department of Theoretical Mathematics The Weizmann Institute of Science Rehovot 7600, Israel an Department of Mathematics The Pennsylvania State

More information

An explicit version of Birch s Theorem

An explicit version of Birch s Theorem ACTA ARITHMETICA LXXXV.1 (1998) An explicit version of Birch s Theorem by Trevor D. Wooley (Ann Arbor, Mich.) 1. Introuction. Birch [1] has shown that a system of homogeneous polynomials with rational

More information

QF101: Quantitative Finance September 5, Week 3: Derivatives. Facilitator: Christopher Ting AY 2017/2018. f ( x + ) f(x) f(x) = lim

QF101: Quantitative Finance September 5, Week 3: Derivatives. Facilitator: Christopher Ting AY 2017/2018. f ( x + ) f(x) f(x) = lim QF101: Quantitative Finance September 5, 2017 Week 3: Derivatives Facilitator: Christopher Ting AY 2017/2018 I recoil with ismay an horror at this lamentable plague of functions which o not have erivatives.

More information

THE MONIC INTEGER TRANSFINITE DIAMETER

THE MONIC INTEGER TRANSFINITE DIAMETER MATHEMATICS OF COMPUTATION Volume 00, Number 0, Pages 000 000 S 005-578(XX)0000-0 THE MONIC INTEGER TRANSFINITE DIAMETER K. G. HARE AND C. J. SMYTH ABSTRACT. We stuy the problem of fining nonconstant monic

More information

Lecture Introduction. 2 Examples of Measure Concentration. 3 The Johnson-Lindenstrauss Lemma. CS-621 Theory Gems November 28, 2012

Lecture Introduction. 2 Examples of Measure Concentration. 3 The Johnson-Lindenstrauss Lemma. CS-621 Theory Gems November 28, 2012 CS-6 Theory Gems November 8, 0 Lecture Lecturer: Alesaner Mąry Scribes: Alhussein Fawzi, Dorina Thanou Introuction Toay, we will briefly iscuss an important technique in probability theory measure concentration

More information

Math 115 Section 018 Course Note

Math 115 Section 018 Course Note Course Note 1 General Functions Definition 1.1. A function is a rule that takes certain numbers as inputs an assigns to each a efinite output number. The set of all input numbers is calle the omain of

More information

Sum-Product Problem: New Generalisations and Applications

Sum-Product Problem: New Generalisations and Applications Sum-Product Problem: New Generalisations and Applications Igor E. Shparlinski Macquarie University ENS, Chaire France Telecom pour la sécurité des réseaux de télécommunications igor@comp.mq.edu.au 1 Background

More information

CHARACTERIZATION OF PSL(3,Q) BY NSE

CHARACTERIZATION OF PSL(3,Q) BY NSE CHARACTERIZATION OF PSL(,Q) BY NSE S. ASGARY an N. AHANJIDEH Communicate by Alexanru Buium Let G be a group an π e(g) be the set of element orers of G. Suppose that k π e(g) an m k is the number of elements

More information

THE LIND-LEHMER CONSTANT FOR 3-GROUPS. Stian Clem 1 Cornell University, Ithaca, New York

THE LIND-LEHMER CONSTANT FOR 3-GROUPS. Stian Clem 1 Cornell University, Ithaca, New York #A40 INTEGERS 18 2018) THE LIND-LEHMER CONSTANT FOR 3-GROUPS Stian Clem 1 Cornell University, Ithaca, New York sac369@cornell.edu Christopher Pinner Department of Mathematics, Kansas State University,

More information