The least k-th power non-residue

Size: px
Start display at page:

Download "The least k-th power non-residue"

Transcription

1 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 p. Norton prove that the least k-th power non-resiue mo p is at most 3.9p /4 log p unless k = 2 an p 3 mo 4, in which case the boun is 4.7p /4 log p. By improving the upper boun in the Burgess ineuality via a combinatorial iea, an by using some computing power, we improve the upper bouns to 0.9p /4 log p an.p /4 log p, respectively. Contents Introuction 2 Burgess Booker upper boun 3 3 Burgess Norton lower boun 9 4 Main theorem 7 5 Acknowlegements 27 6 Bibliography 27. Introuction Let p be a prime an let k 2 be a ivisor of p. Let gp, k be the least k-th power non-resiue mo p. The case k = 2, i.e., the uestion of how big the least uaratic non-resiue is, has been stuie extensively. Assuming the Generalize Riemann Hypothesis for Dirichlet L-functions, Ankeny [] Preprint submitte to Elsevier August 29, 204

2 showe that gp, 2 log p 2 an Bach [2] mae this explicit by proving uner GRH that gp, 2 2log p 2. The best unconitional results for gp, 2 are ue to Burgess [5], who, builing on work by Vinograov [9] an using Weil s boun for curves [20], showe that gp, k ε p 4 e +ε. For k 3 we have better estimates. Let ρ be Dickman s function, i.e., a continuous function that satisfies uρ u + ρu = 0 an ρu = for 0 u. Let α k be the uniue root of ρα =. Wang Yuan [22], builing k on work of Vinograov [9] an Buhštab [4], showe that, for real ε > 0, gp, k ε,k p 4α k +ε. It is worth noting that α 2 = e. Vinograov showe that α k e k k Buhštab prove, for k e 33, that α k > log k log log k + 2. All of the work escribe so far has been of aymptotic nature. In terms of getting explicit bouns, Karl Norton [0], builing on a techniue of Burgess [7], was able to show that gp, k 3.9p /4 log p unless k = 2 an p 3 mo 4 for which he showe gp, k 4.7p /4 log p. In this paper we will improve this result. Let h an w be any positive integers, let p mo k be a prime, an let χ be a character mo p of orer k, that is, k is the smallest positive integer such that χ k is the principal character. Define p h 2w S w p, h, χ, k := χm + l. m= Norton s proof uses an ineuality iscovere by Burgess [6], namely that l=0 S w p, h, χ, k < 4w w+ ph w + 2wp /2 h 2w. Norton mae some moifications to a clever argument of Burgess, to get an explicit lower boun for S w p, h, χ, k epening on gp, k. This allowe him to get the above state upper boun on gp, k. Inspire by a paper of Booker [3] that eals with the uaratic case in the Burgess ineuality, we improve the upper boun on as follows: 2 an

3 Theorem.. Let p be a prime. Let w, h an k be integers such that w 9h, h p, k 2 an k p. Let χ be a character mo p of orer k. Then p h 2w S w p, h, χ, k = χm + l < 2w! 2 w w! phw + 2w p /2 h 2w. m= l=0 This upper boun was state but not prove by Norton [] an prove for uaratic characters by Booker [3]. With a more careful combinatorial analysis we improve the term 4w w+ to 2w! 2 w w! w 2w 2 = ow w. e This improvement is the main result which allowe us to improve the upper boun on gp, k. This theorem has also allowe the author to get an explicit version of the Burgess ineuality in [7] an to improve the best known explicit boun on the largest string on which a Dirichlet character mo p is constant [8]. We state our main result in the following theorem: Theorem.2. Let p > 3 be an o prime. Let k 2 be an integer such that k p. Let gp, k be the least k-th power non-resiue mo p. Then gp, k < 0.9p /4 log p, unless k = 2 an p 3 mo 4, in which case gp, 2.p /4 log p. A similar boun was announce but not proven by Norton see [], namely that gp, k.p /4 log p + 4. In section 2 we will prove our upper boun on S w p, h, χ, k, i.e., Theorem.. In section 3 we will write own Norton s lower boun for S w p, h, χ, k with some moifications. In the last section of this paper we combine the upper boun from section 2 with the lower boun from section 3 to prove Theorem Burgess Booker upper boun Definition 2.. Let p > 2 be a prime an let l, l 2,..., l 2w be fixe integers. Then efine x F p x as follows: x = x + l x + l 2 x + l w x + l w+ p 2 x + l w+2 p 2 x + l 2w p 2. 3

4 Abusing notation, we will consier it as a rational function: x = x + l x + l 2 x + l w x + l w+ x + l w+2 x + l 2w. Note that if k p, the polynomial form for x is a k-th power if an only if the rational form for x is a k-th power. Definition 2.2. Let p be a prime. Let w, h an k be integers such that h p an k p. Let [h] = {0,, 2,..., h }. Let x be efine as in Definition 2.. Then efine b w p, h, k as follows: { b w p, h, k = l, l 2,..., l 2w [h] 2w x is a k-th power Fp x}. Lemma 2.. Let p be a prime. Let w, h an k be integers such that h p, k 2 an k p. Let b w p, h, k be efine as in Definition 2.2. Then b w p, h, k w k =0 w! 2 h w k 2!k! w k!. Proof. Let x be efine as in Definition 2.. One way of bouning how many 2w-tuples make x a k-th power in F p x is the following: given a tuple, we eliminate the terms from the numerator that appear also in the enominator. We o this until there are no more eliminations to be one. Let s say that the number of terms eliminate is t. Then t is an integer such that 0 t w. Now for x to be a k-th power the numerator an the enominator must each be a k-th power. Fix t. The number of ways of getting t eliminations is boune above by 2 w t!h t. 2 t The reason for this count is that we are picking t elements from the numerator to be matche up with t elements from the enominator. To pick the 2t factors that will be paire up we have w 2 t ways of oing it. But now we have t! ways of associating a one to one map between the t elements in the numerator an the t elements in the enominator. Once we have the t pairs, then there are at most h t ways of picking the values for each pair, giving us the state upper boun. 4

5 Now, the number of ways in which the remaining parts of the the numerator can be a k-th power is w t h w t! =! k, k, k,..., k!k! h. 3 We ivie by! because the multinomial associates an orer to the groups being picke. We multiply by h because each group of size k has h options. For the remaining parts of the enominator of x we woul have the same estimate with h replace by h since we alreay eliminate the common terms. Since we are intereste in an upper boun, to simplify calculations I will replace h with h. Combining 2 an 3 an summing over values of t w mo k we arrive at the following upper boun for b w p, h, k: 0 t w t w mo k w t!!k! 2 w t 2 t!h t+2 = 0 t w t w mo k w!!t!k! 2 t!h t+2. 4 Using that t = w k we can change variables an reach the esire ineuality. Definition 2.3. Let w, h an k be positive integers such that k 2. Then efine c w h, k as follows: c w h, k = w k =0 w! 2 h w k 2!k! w k!. Note that for any prime p with k p, Lemma 2. implies that b w p, h, k c w h, k. Lemma 2.2. Let w, h an k be positive integers such that k 2. Let c w h, k be efine as in Definition 2.3. If w 9h, then c w h, k is a ecreasing function in k. Proof. Since k is an integer greater than or eual to 2, it is enough to show that c w h, k c w h, k for all k 3. From Definition 2.3 we have c w h, k = w k =0 2 w! h w k 2!k! w k!. 5 5

6 Now, we arrange the right han sie of 5 to look more like c w h, k, getting: w k =0 w! 2 h w k 3!k! k 2 = w k =0 h w k! w! 2 h w k 3!k! w k! w k!. k 2 h w k! Now we use that w k! w k! w to get the ineuality c w h, k w k =0 w! 2 h w k 3!k! w k! The last step is true because w 9h an because k 3. The following corollary is an obvious conseuence: w cw h, k. k 2 h Corollary 2.. Let w, h an k be positive integers such that k 2. Let c w h, k be efine as in Definition 2.3. If w 9h, then c w h, k c w h, 2. Now we will prove a combinatorial ientity an a corollary that will be use later, but it is a cute result on its own. Lemma 2.3. Let w be a positive integer. Then w 2 2 w! = 2w! w 2! 2! 2 w w!. 6 =0 Proof. The proof will be one by counting the number of partitions of {, 2,..., 2w} into w pairs in two ways. It is worth noting that the way to count the left han sie of 6 was one in Lemma 2. when k = 2, however we ll give a ifferent exposition of the count below to perhaps make the combinatorics clearer. Let s count the number of partitions. There are 2w choices to pair the number. Then pick the next lowest number not picke. There are 2w 3 ways of choosing its partner. Then pick the next lowest number not 6

7 picke. There are 2w 5 ways of choosing its partner. If we continue with this process, we get 2w 2w 3 3 = 2w2w 2w 2 2 2w2w 42 = 2w! 2 w w!. Notice that this is the right han sie of the euation. Now, let s count the number of partitions ifferently. Consier the pairs as i, j with 0 < i < j 2w. Now let P be a partition of {, 2,... 2w} into w pairs. Define AP, BP an CP in the following way: AP = {i, j P 0 < i < j w} BP = {i, j P w < i < j 2w} an CP = {i, j P 0 < i w < j 2w} We can see by the construction that AP, BP an CP are pairwise isjoint. We can also notice that P = AP BP CP. Let AP =. Then the w 2 numbers w which are not in AP must be paire with numbers > w. Therefore CP = w 2 an BP =. Therefore a way of counting the number of partitions is by counting for each choice of with 0 w 2 the number of ways of getting AP, BP an CP. The number of ways of pairing up in this way is 2! 2! 2 2! w w 2! = 2! w 2 2 w! w 2! 2! Once we sum over all we get the left han sie of the euation, completing the proof. Corollary 2.2. Let w be a positive integer. Then w 2 =0 w w 2 w 2 = 2w. w Proof. Multiply both sies of euation 6 by 2w. The right han sie of the w! euation becomes 2w! 2 w = 2w! 2w 2 w w! w! w!w! =. w 7

8 The left han sie becomes w 2 w 2 2 w! = w! w 2! 2! =0 w 2 =0 w!2 w 2!!w 2! = w 2 =0 w w 2 w 2. Now we are reay to prove Theorem.. Proof of Theorem.. Let x be efine as in Definition 2.. Using that z 2 = z z an that χn = χn p 2 allows us to rewrite S w p, h, χ, k in terms of x as follows: p h 2w S w p, h, χ, k = χm + l = p χ x. m= l=0 l,...l 2w 0 l i h If x is not a k-th power F p x then using the Weil boun [4, Theorem 2C, page 43], we can boun the inner sum by r p, where r is the number of istinct roots of x which o not have multiplicity a multiple of k. In particular, we can boun the inner sum by 2w p. Using Lemma in [6], we have the better boun 2w 2 p +, but we shall not use it here. When x is a k-th power, then we use the trivial boun of p. Using this analysis, we can now boun S w p, h, χ, k by placing the boun 2w p when x is not a k-th power an p otherwise. Combining this with w 9h yiels S w p, h, χ, k 2w h 2w p + b w p, h, kp 2w h 2w p + c w h, 2p. 7 Now, let s calculate c w h, 2: c w h, 2 = w 2 =0 w!!2 x= 2 h w w 2! = 2w! 2 w w! hw, 8 the last euality coming from Lemma 2.3. Combining 7 an 8 we get the esire ineuality. Remark 2.. From the proof we coul erive a better upper boun when k > 2, which is p h 2w S w p, h, χ, k = χm + l < c w h, kp + 2w p /2 h 2w. 9 m= l=0 8

9 3. Burgess Norton lower boun Let s start with a couple of lemmas that will be reuire in our lower boun estimate. Lemma 3.. Let x be a real number. Then x x φ x φ 3 π 2 x2 x. 0 Proof. Let s estimate the sum. x x φ x = x µ φ = x x φ = x x x x = x x Now, writing x = x { x }, we get µ x = x2 2 = Now, since x x x 2 2 x 2 + { x} { x } 2 µ 2 = >x µ µ µ x µ x x x µ x x + 2 { x { x µ. } } = 6 π an since 0 { { x } x } 2, we have 4 φ φ 3 π 2 x2 x2 µ 2 x µ x >x x x suarefree.. Claim 3.. For real x, >x µ 2 x. 9

10 Proof of the Claim: Note that for any positive integer we have that is 2 +/2 t smaller than t. Thus 2 /2 >x µ 2 >x t t = 2 x 2 t t = 2 x. 2 To change x /2 into x, note that there is at least one missing in the interval [x, x + 4], since we only take suarefree s in the sum. Thus the absolute value of the sum is smaller than. This is smaller x x than once x, proving the claim for real x. To complete the x µ proof for x we use the fact that = 6, which implies that 2 π2 = µ = 6 2 π µ. One can now manually check the integer cases 2 >x x µ where x an note that 2 <, which implies the claim x+ >x for real x. Claim 3.2. For real x, the number of suarefree integers in [, x] is at most 2 3 x + 2. Proof of the Claim: The number of suarefree numbers up to x is at most x x x x x + 2. Claim 3.3. For real x, x µ x. Proof of the Claim: The proof here is a moifie version of a proof of Hilebran [9]. Let en = if n = an en = 0 otherwise. Let Sx = n x en. Then Sx =. However, we also have Sx = n x n µ = x µ = x µ { x µ. } x x x 0

11 Therefore, x x µ + x { x } µ 2 3 x + 3. To prove the last ineuality we use that the number of suarefree numbers up to x is at most 2 x + 2, which was proven in the previous claim. 3 Combining Claims 3., 3.2 an 3.3 with we have x x φ x φ 3 π 2 x2 2 x π 2 x2 x, where the last ineuality hols for x 2. For x 3, the right han sie of 0 is negative, while the left han sie is positive, therefore the ineuality is true for x 3. Now, for the integers 3 x 2 we can manually check that x x φ x φ 3 π 2 x + 2 x +. Since the right han sie of 0 is increasing for x 3, we have a proof for all real x 2. Lemma 3.2. Let x be a real number. Then 2x φ φ 9 log x π 2 x2 x 3 x x Proof. Doing the estimates the same way as in Lemma 3., we get 2x φ φ = 9 π 2 x2 3x2 µ 2 x x >x x µ 2 x µ { x + } { x { x µ. 3 2 } } x x x Claim 3.4. For real x, x x µ { x } 2 x { x { x µ } } x log x x

12 Proof of the Claim: We have x x µ { x } 2 x µ= x { x { x µ } } = { x } x µ x { x } 2. 4 Note, that all factors except µ are positive, which implies that we can boun 4 by { x } x { x } x 2 x. 5 µ= Note that log x x numbers: x suarefree However, an log x+. Now, let s boun the sum over suarefree x x x log x log 4 4 x suarefree x = + x µ= µ = x µ= x µ= + log 9 9 x µ= x 36 log log x log x + 3 5, x. 7 The last ineuality being true because of Claim 3.3. Aing 6 an 7, iviing by 2, an using 4 an 5 we get our claim. 2

13 Now, using the results of Claims 3., 3.3 an 3.4 in 3 yiels 2x x φ φ x 9 log x π 2 x2 x log x 0 π 2 x2 x + 3, 3 where the last ineuality is true for x 45. For x 3, the right han sie of 2 is negative, while the left han sie is positive, therefore the ineuality is true for x 3. Now, for the integers 3 x 45 we can manually check that 2x x φ φ 9 log x + π x x + 3 x + 3. Since the right han sie of 2 is increasing for x 3, we have a proof for all real x 45. To prove a lower boun on S w p, h, k we will nee an upper boun on gp, k. The next lemma is an elementary boun on gp, k proven for k = 2 in [2] Lemma. Lemma 3.3. Let gp, k be the least k-th power non-resiue mo p. Then gp, k < p + 2. Proof. The following proof is very similar to the one in [2] but the argument goes all the back to Western an Miller see [2] an Norton [0]. Let = gp, k an r =. Note that p < r < p +, therefore r is a k-th p power mo p. Since is a k-th power non-resiue mo p, then r is also a k-th power non-resiue mo p. By the minimality of, r. Therefore + p/ > r. Since p is an integer an p > 2, then an the lemma follows. p 2 + > 2 2, We now have the ingreients to prove the lower boun on S w p, h, k. 3

14 Theorem 3.. Let p 5 be a prime. Let χ be a character mo p of orer k. Assume that χa = for all a < H. Let h an w be positive integers such that 4 h H. Let X = H/h an let A = 3 π 2. Then S w p, h, χ, k = p h 2w χm + l 2h 2w AH 2 m= l=0 2AX Furthermore, if is a k-th power mo p, then log X S w p, h, χ, k 3h 2w AH AX 3AX AX 2 h Proof. We follow the proof in [0] with some minor moifications. The iea is to fin long intervals where χ is constant either or, making the inner sum as big as possible in a segment. For each pair of integers t, with efine I, t to be the close interval [ tp H I, t =. 0 t < X an gct, =, 8 Claim 3.5. The intervals I, t are isjoint., tp + H ]. Proof of the Claim: Let s assume that I, t an I 2, t 2 contain a common element s, so that s t ip i H i for i =, 2. Thus, t p t 2p 2 H + H 2. By Lemma 3.3, H gp, k < p + /2. Using that h 4 an p 2, we get t 2 t H p 2HX p = 2H2 hp < 2p + 2 p + /2 4p <. Now, since t 2 t 2 < an t, t 2,, 2 are integers, we have t 2 = t 2. But gc, t = an gc 2, t 2 =, therefore t = t 2 an = 2 proving the claim. Claim 3.6. Each I, t [ H, H + p. 4

15 Proof of the Claim: Since t 0 an p 2, we have tp H p H p H. Now, since t <, we have t, therefore tp + H p + H = p p H p p H X p Hh = p. H In the ineualities we use X an that X = H/h. To finish proving the claim we will use that h 4: tp + H p p Hh H p 4p H H < p H. The last ineuality is true because H < p+/2 an 4 h p an therefore H 2 + 4H < p + 5 p + 3 < 4p, which is true for p 5. Therefore, we have prove the claim. Using the perioicity of χ an Claims 3.5 an 3.6 we have the following: p h S w p, h, χ, k = χm + l m= l=0 h 2w χm + l =,t,t m I,t l=0 2w = h χm + l l=0 h χm + l tp H m< H+p m I,t l=0 2w 2w. 9 The sum is over all pairs, t satisfying 8. Note that χ = because 0 < X < H. The last euality in 9 comes from χm+l = χχm+ l = χm + l = χm + l tp it is only neee that χ 0, for 9 to be true. For, t satisfying 8, let J, t an K, t be efine as follows: [ tp H J, t =, tp h + an K, t = tp, tp + H ] h +. If m J, t, then for 0 l h we have 0 < tp m + l H, therefore χm + l tp = χ χtp m + l = χ. Similarly, if m K, t, then for 0 l h we have 0 < m+l tp H an hence χm + l tp = χ =. 5

16 Since each of J, t, K, t contains at least H h integers note that X = H an hence H h then we can place a lower boun on S h wp, h, χ, k as follows: hx h h 2w S w p, h, χ, k 2,t = 2h 2w+ X X φ X φ 2AX 2 h 2w+ 2AX. 20 The last ineuality being Lemma 3.. Once we make the substitution of X = H we get the esire ineuality. h If is a k-th power mo p, we can improve 20. Instea of using J, t an K, t, we simply consier the interval [ tp H L, t =, tp + H ] h +. If m L, t, then for 0 l h, we have H m + l tp H, an hence χm + l tp = unless m + l = tp. Since > t 0, then 0 m + l = t p < p. But p m + l implies that m + l = 0, an so t = 0. Because of the coprimality conition, t = 0 implies =. In this latter case, we omit those values of m for which there is an l with m + l = 0, an we get S w p, h, χ, k h 2w + h 2w h 2w + m H h+,t > 2H h + h 2w + H m h < X m L,t 0 t< gct,= 2H h h 2w. From this an X = H, it follows that if is a k-th power mo p, then h S w p, h, χ, k h 2w+ 2X φ φ + h X X log x 3AX 2 h 2w AX 3AX AX 2 h The last ineuality comes from Lemma 3.2. Once we make the substitution of X = H we get the esire ineuality. h 6

17 4. Main theorem Before we prove our main theorem, we nee a lemma: Lemma 4.. Let p be a prime. Let k > be an integer such that k p. If = gc k, p 2 an 2, then is a -th power mo p an furthermore gp, k gp,. Proof. Let r be a primitive root mop. Then r p 2 mo p. Since p, then is a -th power mo p. Now note that if a < gp, k, then a 2 is a k-th power mo p an hence a -th power mo p since k, therefore gp, gp, k. Note that 2 unless k = 2 an p 3 mo 4. The following theorem will eal with the large cases of our main theorem. The main theorem will be split into cases after proving this theorem. Theorem 4.. Let p be an o prime. Let k 2 be an integer such that k p an let p p 0. Then gp, k < βp 0 p /4 log p, unless k = 2 an p 3 mo 4, in which case gp, 2 αp 0 p /4 log p, where βp 0 an αp 0 are constants epening only on p 0 escribe in Table. π 2 We remark that from the proof, one can show that αp 0 e e = an βp 6 0 e = π 2A 6 e = as p0. 8A = Proof. Let χ be a character mo p of orer k. Assume that χa = for all a < H. Let h an w be positive integers such that 4 h H. Let X = H/h an let A = 3. Then by Theorem 3. π 2 p h 2w S w p, h, χ, k = χm + l 2h 2w AH 2. 2AX m= l=0 If w 9h, we have from Theorem. p h 2w S w p, h, χ, k = χm + l < 2w! 2 w w! phw + 2w p /2 h 2w. 2 m= l=0 7

18 p 0 βp 0 αp Table : Upper boun for the least k-th power non-resiue mo p for p p 0. Combining these two we get that 2AH 2 < 2w! 2AX 2 w w! ph w + 2w p /2 h = fw, h, 22 is true for all positive integers h an w satisfying 4 h H an w 9h. Note that if we want to have H as small as possible, then we want to minimize fw, h, because the left han sie is approximately 2AH 2, so H is approximately fw, h/2a, where A is a constant. To minimize fw, h one can use simple techniues from Calculus to figure out the best asymptotic choices of w an h. Below we have chosen h an w to match the optimal asymptotic choice an to simplify some of the ifficulties that come from ealing with the fact that h an w are integers. Let 2w! w w h = p 2 w 2w + 23 w! 2w an log p w =

19 Then fw, h = h 2w! p 2 w w! 2w! w < 2 w w! 2w < p h + 2w < h p 2w + + w w 2w + + w p 2w + + w w p 2 + 2w + p 2 2w + + e 2 2w! 2 w w! w 2w w w The last ineuality is true because p 2w < e 2. Note the following explicit ineualities on Stirling s formula [3] which will help us eal with the above expression: n n 2πn e 2n+ n n < n! < 2πn e 2n. e e Hence 2w! w 2 w w! < 2w e w 2 e 24w w 2w+ = 2w e 2 2w e 24w 2 2w 2 +w. 26 Combining 26 with 25 an using that w 2w < 2 fw, h < 2w + + p w < we get 2we 2 2w e 24w 2 2w + + w 2w 2 +w + 2we + p. Now, the right han sie is increasing in w, so we may just use an upper boun for w which woul be log p 4 +. Using this upper boun yiels e fw, h < = 4 log2 p + 5e + 2 e 4 + 5e + 2 log p + 8e + 3 log 2 p + 8e + 4 log 3 p log p + 8e e + 4 p log p p log 2 p = Kp p log 2 p, 27 where Kp epens on p an goes to e 4 as p. 9

20 Also note h < 2we + < e 2 log p + 2e + = e 2 + 2e + log p log p. Assume p p 0 an H αp 0 p /4 log p. We have αp 0 e 8A, hence X = H h Let Xp 0 be efine as αp 0p /4 log p e + 2e+ log p 2 log p e e 8A + 2e+ 2 log p p /4. Xp 0 = e e 8A p /4 + 2e+ 0, 2 log p 0 an let Kp 0 αp 0 =. 2A 2AXp 0 The left han sie of 22 can therefore be boune from below for p p 0 : 2AH 2 2A αp 0 2 p log 2 p 2AX 2AXp 0 Kp 0 p log 2 p Kp p log 2 p > fw, h, giving us a contraiction, proving that H < αp 0 p /4 log p, that is gp, k αp 0 p /4 log p. Now, if is a k-th power mo p we can o better, since by the secon part of Theorem 3. we have S w p, h, χ, k = p h χm + l m= l=0 2w 3h 2w AH 2 log X AX 3AX AX 2 h 20

21 Combining this with 2 we get log X 3AH AX 3AX + 2 3AX 2 h < fw, h. 28 Assume p p 0 an H βp 0 p /4 log p e 2A p/4 log p, then we can work just as before. Let Xp 0 = e e 2A p /4 + 2e+ 0, 2 log p 0 an let βp 0 3A Kp 0 log Xp AXp 0 3AXp AXp 0 2 h. The left han sie of 28 can therefore be boune from below for p p 0 : 3AH 2 3A βp 0 2 p log 2 p log X AX 3AX + 2 3AX 2 h log Xp AXp 0 Kp 0 p log 2 p Kp p log 2 p > fw, h, 3AXp AXp 0 2 h giving us a contraiction, proving that H < βp 0 p /4 log p, that is gp, k βp 0 p /4 log p. If gc k, p 2 = >, then Lemma 4. implies that is a -th power an gp, k gp, βp 0 p /4 log p. Note that we o nee > as the last ineuality is only true for 2. Since gc k, p 2 = if an only if k = 2 an p 3 mo 4, we conclue the statement of the theorem. The values of the table for αp 0 an βp 0 were compute by plugging in the respective values of p 0. 2

22 We have prove the main theorem for p To complete the proof we ll o it in four cases: when k = 2 an p mo 4 with p 0 25, when k = 2 an p mo 4 or k 3, where 0 25 < p < 0 60, when k 3 with p 0 25, an when k = 2 an p 3 mo 4 with p < To eal with the case where k = 2 an p mo 4 we first show that either p is a gp, 2 -pseuosuare or gp, 2 = 2. Let s recall what a pseuosuare is: Definition 4.. A positive integer n is calle a -pseuosuare if n mo 8 is not a suare an for all o primes r, we have n r =, where n r is the Legenre symbol. Lemma 4.2. For p a prime satisfying p mo 4 then either p is a gp, 2 -pseuosuare or gp, 2 = 2. Proof. If p 5 mo 8 then 2 is not a suare mo p, an hence gp, 2 = 2. Therefore, we may assume that p mo 8. Note that by the efinition of gp, 2, we have that = for all o primes r < gp, 2. Now, since p mo 8, by uaratic reciprocity we have p r = =. r p Therefore p is a gp, 2 -pseuosuare. r p Proposition 4.. Let p be a prime such that p mo 4 an p Then gp, 2 0.9p /4 log p. Proof. If p 5 mo 8, then gp, 2 = 2 an hence gp, 2 0.9p /4 log p as long as p 5, which is true. Therefore, we may assume p mo 8. We know from Lemma 4.2 that p is a gp, 2 -pseuosuare. In [5], it was shown that for 379, 379-pseuosuares are greater than Therefore if gp, 2 379, then p

23 w h p w h p w h p 6 76 [0 25, 0 27 ] 7 85 [0 27, 0 29 ] 7 99 [0 29, 0 3 ] 8 06 [0 3, 0 33 ] 8 2 [0 33, 0 35 ] 2 6 [0 35, 0 38 ] 22 3 [0 38, 0 4 ] [0 4, 0 44 ] [0 44, 0 47 ] 30 4 [0 47, 0 50 ] 3 59 [0 50, 0 54 ] [0 54, 0 58 ] [0 58, 0 60 ] Table 2: Values of h an w chosen to prove that gp, 2 0.9p /4 log p whenever p mo 4 an 0 25 p As an example on how to rea the table: when w = 6 an h = 76, then γp, w, h < 0.9 for all p [0 25, 0 27 ]. Since the solution to 0.9p /4 log p = 379 is below , then we nee only check up to for the cases where gp, A simple loop in the computer confirms that for all these cases we have gp, 2 0.9p /4 log p, completing the proof of the proposition. Proposition 4.2. Let p be prime such that 0 25 < p < If p mo 4 an k = 2 or if k 3, then gp, k 0.9p /4 log p. Proof. To eal with this gap, we ll choose particular w s an h s in fw, h see 22 instea of the values of h an w chosen in Theorem 4.. Let A = 3 as before π 2 Xp = e 2A h p/4. Let γp, w, h be efine in the following way: fw, h γp, w, h = 3A. p log 2 log Xp +3 3 p + 3AXp 3AXp 2 3AXp 2 h Then by similar arguments as in Theorem 4., we have that gp, k is less than γp, h, wp /4 log p. Hence, all we want is for γp, h, w to be less than or eual to 0.9. We ll attack this by picking particular h s an w s in ifferent intervals. To check whether γp, h, w 0.9, we nee only check the enpoints of the intervals since γp, h, w is concave up. Table 2 completes the proof. 23

24 Remark 4.. The metho can also yiel gp, p /4 log p when p mo 4. However, it woul reuire a much longer table to fill up the intervals all the way up to It is also worth noting that if we starte at 0 7 instea of 0 25 i.e., if we in t have the result on pseuosuares, then the ineuality we woul get woul be gp, p /4 log p, which is not much worse. Thus, the main ingreient in the improvement over Norton is not computational power, but improving the upper boun on the Burgess ineuality. Proposition 4.3. Let p 0 25 be a prime, an let k 3 be an integer. Then gp, k 0.9p /4 log p. Proof. Note that an upper boun for the least k-th power non-resiue is the least primitive root mo p, since a primitive root cannot be a k-th power. Running a loop where we check the least primitive root over primes up to 0 5 reveals that the only examples where the primitive root is greater than 0.9p /4 log p are p = 2, 3, 7 an 9. For p = 2, it oesn t make sense to efine k-th power non-resiue. For p = 3 it only makes sense when k = 2, but k 3. For p = 7 it makes sense for k = 2 an k = 3. Since k 3, we are left with the k = 3 case. For k = 3, the least cubic non-resiue is 2 < 0.97 /4 log 7. To check what happens with p = 9, I ran a program looping over the possible k s ivisors of 90 an foun that the least k-th power non-resiue is 2 for all k p with k 3. Therefore, for k 3 an p 0 5, gp, k 0.9p /4 log p. Therefore we are now in the case where 0 5 p Let s recall 9: p h 2w S w p, h, χ, k = χm + l < c w h, kph w + 2w p /2 h 2w. m= l=0 Since c w h, k is ecreasing on k an k 3, we can replace c w h, k by c w h, 3. Let f 2 w, h be efine as f 2 w, h := h p p 2w + c w h, 3 h w w 3 = h p 2w + =0 2 w! p.!3! h +w w 3! 24

25 w h p 3 2 [0 5, 0 7 ] 4 6 [0 7, 0 9 ] 6 2 [0 9, 0 2 ] 8 37 [0 2, 0 8 ] 2 47 [0 8, 0 25 ] Table 3: Values of h an w chosen to prove that gp, k 0.9p /4 log p whenever k 3 an 0 5 p As an example on how to rea the table: when w = 6 an h = 2, then γ 2 p, w, h < 0.9 for all p [0 9, 0 2 ]. Then by Theorem 3. combine with 9, we have that the ineuality 28 becomes log X 3AH AX 3AX + < f 2 3AX 2 2 w, h, h where A is the constant we ve been using, H gp, k an X = H. Now, let h e 2A Xp = h p/4. Let γ 2 p, w, h be efine in the following way: f 2 w, h γ 2 p, w, h = 3A. p log 2 log Xp +3 3 p + 3AXp 3AXp 2 3AXp 2 h Then by similar arguments as in Theorem 4., we have that gp, k is less than γ 2 p, h, wp /4 log p. Hence, all we want is for γ 2 p, h, w to be less than or eual to 0.9. We ll attack this by picking particular h s an w s in ifferent intervals. Table 3 completes the proof of the interval 0 5 p Proposition 4.4. Let p > 3 be a prime such that p 3 mo 4 an p < Then gp, 2.p /4 log p. Proof. Running a loop over primes p 3 mo 4 up to 0 7 reveals that there is only one counter example, p = 3. Hence for 3 < p 0 7, gp, 2.p /4 log p. 25

26 w h p w h p w h p 4 2 [0 7, ] 5 2 [0 7.6, 0 8 ] 5 24 [0 8, 0 9 ] 6 25 [0 9, 0 0 ] 7 27 [0 0, 0 ] 7 34 [0, 0 2 ] 8 35 [0 2, 0 3 ] 9 36 [0 3, 0 4 ] 8 44 [0 4, 0 5 ] 8 55 [0 5, 0 6 ] 9 56 [0 6, 0 7 ] 9 64 [0 7, 0 8 ] 0 64 [0 8, 0 9 ] 2 60 [0 9, 0 2 ] 3 67 [0 2, 0 23 ] 4 75 [0 23, 0 25 ] 6 77 [0 25, 0 27 ] 7 85 [0 27, 0 29 ] 8 93 [0 29, 0 3 ] 9 00 [0 3, 0 33 ] [0 33, 0 36 ] 2 2 [0 36, 0 39 ] [0 39, 0 42 ] [0 42, 0 45 ] [0 45, 0 48 ] [0 48, 0 5 ] [0 5, 0 54 ] [0 54, 0 58 ] [0 58, 0 60 ] Table 4: Values of h an w chosen to prove that gp, 2.p /4 log p whenever p 3 mo 4 an 0 7 p As an example on how to rea the table: when w = 0 an h = 64, then γ 3 p, w, h <. for all p [0 8, 0 9 ]. Therefore we are now in the case where 0 7 < p < To eal with this gap, we ll follow the same strategy as in Proposition 4., which is to choose particular w s an h s in fw, h an fill up gaps. As in the proof of Proposition 4., let A be the constant we ve been using an let e 8A Xp = h p/4. Let γ 3 p, w, h be efine in the following way: fw, h γ 3 p, w, h = 2A p log 2 p 2AXp Then by similar arguments as in Theorem 4., we have that gp, 2 is less than γ 3 p, h, wp /4 log p. Hence, all we want is for γ 3 p, h, w to be less than or eual to.. We ll attack this by picking particular h s an w s in ifferent intervals. To check whether γ 3 p, h, w., we nee only check the enpoints of the intervals, since γ 3 p, h, w is concave up. Table 4 completes the proof. Combining Propositions 4., 4.2, 4.3 an 4.4 yiels Theorem

27 5. Acknowlegements I woul like to thank my avisor Carl Pomerance for his guiance. He has been the riving force of my research. I woul also like to thank Paul Pollack for pointing out Hilebran s lecture notes an commenting on a raft of this paper. Finally, I like to thank the anonymous referee for his excellent suggestions that improve this paper. 6. Bibliography [] N. C. Ankeny. The least uaratic non resiue. Ann. of Math. 2, 55:65 72, 952. [2] E. Bach. Explicit bouns for primality testing an relate problems. Math. Comp., 559: , 990. [3] A. R. Booker. Quaratic class numbers an character sums. Math. Comp., 75255: electronic, [4] A. A. Buhštab [A. A. Buchstab]. On those numbers in an arithmetic progression all prime factors of which are small in orer of magnitue. Doklay Aka. Nauk SSSR N.S., 67:5 8, 949. [5] D. A. Burgess. The istribution of uaratic resiues an non-resiues. Mathematika, 4:06 2, 957. [6] D. A. Burgess. On character sums an primitive roots. Proc. Lonon Math. Soc. 3, 2:79 92, 962. [7] D. A. Burgess. A note on the istribution of resiues an non-resiues. J. Lonon Math. Soc., 38: , 963. [8] H. Davenport an P. Erös. The istribution of uaratic an higher resiues. Publ. Math. Debrecen, 2: , 952. [9] A. Hilebran. Introuction to Analytic Number Theory Lecture Notes [0] K. K. Norton. Numbers with small prime factors, an the least kth power non-resiue. Memoirs of the American Mathematical Society, No. 06. American Mathematical Society, Provience, R.I.,

28 [] K. K. Norton. Bouns for seuences of consecutive power resiues. I. In Analytic number theory Proc. Sympos. Pure Math., Vol. XXIV, St. Louis Univ., St. Louis, Mo., 972, pages Amer. Math. Soc., Provience, R.I., 973. [2] P. Pollack an E. Treviño. The primes that Eucli forgot. Amer. Math. Monthly, 2: , 204. [3] H. Robbins. A remark on Stirling s formula. Amer. Math. Monthly, 62:26 29, 955. [4] W. M. Schmit. Euations over finite fiels. An elementary approach. Lecture Notes in Mathematics, Vol Springer-Verlag, Berlin, 976. [5] J. P. Sorenson. Sieving for pseuosuares an pseuocubes in parallel using oubly-focuse enumeration an wheel atastructures. In Algorithmic number theory, volume 697 of Lecture Notes in Comput. Sci., pages [6] E. Treviño. Numerically explicit estimates for character sums. 20. Thesis Ph.D. Dartmouth College. [7] E. Treviño. The Burgess ineuality an the least k-th power non-resiue. Submitte. [8] E. Treviño. On the maximum number of consecutive integers on which a character is constant. Moscow Journal of Combinatorics an Number Theory 202, vol.2, iss., pp [9] I. M. Vinograov. Selecte works. Springer-Verlag, Berlin, 985. With a biography by K. K. Marzhanishvili, Translate from the Russian by Naiu Psv [P. S. V. Naiu], Translation eite by Yu. A. Bakhturin. [20] Anré Weil. Sur les courbes algébriues et les variétés ui s en éuisent Actualités Sci. In., no , Deuxième Partie, IV. [2] A. E. Western an J. C. P. Miller. Tables of inices an primitive roots. Royal Society Mathematical Tables, Vol. 9. Publishe for the Royal Society at the Cambrige University Press, Lonon, 968. [22] W. Yuan. Estimation an application of character sums. Shuxue Jinzhan, 7:78 83,

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

Research Statement. Enrique Treviño. M<n N+M

Research Statement. Enrique Treviño. M<n N+M Research Statement Enrique Treviño My research interests lie in elementary analytic number theory. Most of my work concerns finding explicit estimates for character sums. While these estimates are interesting

More information

NOTES. The Primes that Euclid Forgot

NOTES. The Primes that Euclid Forgot NOTES Eite by Sergei Tabachnikov The Primes that Eucli Forgot Paul Pollack an Enrique Treviño Abstract. Let q 2. Suosing that we have efine q j for all ale j ale k, let q k+ be a rime factor of + Q k j

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

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

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

. Using a multinomial model gives us the following equation for P d. , with respect to same length term sequences.

. Using a multinomial model gives us the following equation for P d. , with respect to same length term sequences. S 63 Lecture 8 2/2/26 Lecturer Lillian Lee Scribes Peter Babinski, Davi Lin Basic Language Moeling Approach I. Special ase of LM-base Approach a. Recap of Formulas an Terms b. Fixing θ? c. About that Multinomial

More information

Math 342 Partial Differential Equations «Viktor Grigoryan

Math 342 Partial Differential Equations «Viktor Grigoryan Math 342 Partial Differential Equations «Viktor Grigoryan 6 Wave equation: solution In this lecture we will solve the wave equation on the entire real line x R. This correspons to a string of infinite

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

Two formulas for the Euler ϕ-function

Two formulas for the Euler ϕ-function Two formulas for the Euler ϕ-function Robert Frieman A multiplication formula for ϕ(n) The first formula we want to prove is the following: Theorem 1. If n 1 an n 2 are relatively prime positive integers,

More information

ON THE CONSTANT IN BURGESS BOUND FOR THE NUMBER OF CONSECUTIVE RESIDUES OR NON-RESIDUES Kevin J. McGown

ON THE CONSTANT IN BURGESS BOUND FOR THE NUMBER OF CONSECUTIVE RESIDUES OR NON-RESIDUES Kevin J. McGown Functiones et Approximatio 462 (2012), 273 284 doi: 107169/facm/201246210 ON THE CONSTANT IN BURGESS BOUND FOR THE NUMBER OF CONSECUTIVE RESIDUES OR NON-RESIDUES Kevin J McGown Abstract: We give an explicit

More information

Diophantine Approximations: Examining the Farey Process and its Method on Producing Best Approximations

Diophantine Approximations: Examining the Farey Process and its Method on Producing Best Approximations Diophantine Approximations: Examining the Farey Process an its Metho on Proucing Best Approximations Kelly Bowen Introuction When a person hears the phrase irrational number, one oes not think of anything

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

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

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

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

A New Vulnerable Class of Exponents in RSA

A New Vulnerable Class of Exponents in RSA A ew Vulnerable Class of Exponents in RSA Aberrahmane itaj Laboratoire e Mathématiues icolas Oresme Campus II, Boulevar u Maréchal Juin BP 586, 4032 Caen Ceex, France. nitaj@math.unicaen.fr http://www.math.unicaen.fr/~nitaj

More information

Zachary Scherr Math 503 HW 5 Due Friday, Feb 26

Zachary Scherr Math 503 HW 5 Due Friday, Feb 26 Zachary Scherr Math 503 HW 5 Due Friay, Feb 26 1 Reaing 1. Rea Chapter 9 of Dummit an Foote 2 Problems 1. 9.1.13 Solution: We alreay know that if R is any commutative ring, then R[x]/(x r = R for any r

More information

EXPLICIT BOUNDS ON MONOMIAL AND BINOMIAL EXPONENTIAL SUMS

EXPLICIT BOUNDS ON MONOMIAL AND BINOMIAL EXPONENTIAL SUMS 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

More information

Computing Exact Confidence Coefficients of Simultaneous Confidence Intervals for Multinomial Proportions and their Functions

Computing Exact Confidence Coefficients of Simultaneous Confidence Intervals for Multinomial Proportions and their Functions Working Paper 2013:5 Department of Statistics Computing Exact Confience Coefficients of Simultaneous Confience Intervals for Multinomial Proportions an their Functions Shaobo Jin Working Paper 2013:5

More information

Math 1271 Solutions for Fall 2005 Final Exam

Math 1271 Solutions for Fall 2005 Final Exam Math 7 Solutions for Fall 5 Final Eam ) Since the equation + y = e y cannot be rearrange algebraically in orer to write y as an eplicit function of, we must instea ifferentiate this relation implicitly

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

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

A. Incorrect! The letter t does not appear in the expression of the given integral

A. Incorrect! The letter t does not appear in the expression of the given integral AP Physics C - Problem Drill 1: The Funamental Theorem of Calculus Question No. 1 of 1 Instruction: (1) Rea the problem statement an answer choices carefully () Work the problems on paper as neee (3) Question

More information

DECOMPOSITION OF POLYNOMIALS AND APPROXIMATE ROOTS

DECOMPOSITION OF POLYNOMIALS AND APPROXIMATE ROOTS DECOMPOSITION OF POLYNOMIALS AND APPROXIMATE ROOTS ARNAUD BODIN Abstract. We state a kin of Eucliian ivision theorem: given a polynomial P (x) an a ivisor of the egree of P, there exist polynomials h(x),

More information

On the second smallest prime non-residue

On the second smallest prime non-residue On the second smallest prime non-residue Kevin J. McGown 1 Department of Mathematics, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093 Abstract Let χ be a non-principal Dirichlet

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

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

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

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

Schrödinger s equation.

Schrödinger s equation. Physics 342 Lecture 5 Schröinger s Equation Lecture 5 Physics 342 Quantum Mechanics I Wenesay, February 3r, 2010 Toay we iscuss Schröinger s equation an show that it supports the basic interpretation of

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

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

Lenny Jones Department of Mathematics, Shippensburg University, Shippensburg, Pennsylvania Daniel White

Lenny Jones Department of Mathematics, Shippensburg University, Shippensburg, Pennsylvania Daniel White #A10 INTEGERS 1A (01): John Selfrige Memorial Issue SIERPIŃSKI NUMBERS IN IMAGINARY QUADRATIC FIELDS Lenny Jones Deartment of Mathematics, Shiensburg University, Shiensburg, Pennsylvania lkjone@shi.eu

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

Table of Common Derivatives By David Abraham

Table of Common Derivatives By David Abraham Prouct an Quotient Rules: Table of Common Derivatives By Davi Abraham [ f ( g( ] = [ f ( ] g( + f ( [ g( ] f ( = g( [ f ( ] g( g( f ( [ g( ] Trigonometric Functions: sin( = cos( cos( = sin( tan( = sec

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

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

Relatively Prime Uniform Partitions

Relatively Prime Uniform Partitions Gen. Math. Notes, Vol. 13, No., December, 01, pp.1-1 ISSN 19-7184; Copyright c ICSRS Publication, 01 www.i-csrs.org Available free online at http://www.geman.in Relatively Prime Uniform Partitions A. Davi

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

Multiplicative properties of sets of residues

Multiplicative properties of sets of residues Multiplicative properties of sets of resiues C. Pomerance Hanover an A. Schinzel Warszawa Abstract: We conjecture that for each natural number n, every set of resiues mo n of carinality at least n/2 contains

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

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

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

Multiplicative properties of sets of residues

Multiplicative properties of sets of residues Multiplicative properties of sets of resiues C. Pomerance Hanover an A. Schinzel Warszawa Abstract: Given a natural number n, we ask whether every set of resiues mo n of carinality at least n/2 contains

More information

Multiplicative properties of sets of residues

Multiplicative properties of sets of residues Multiplicative properties of sets of resiues C. Pomerance Hanover an A. Schinzel Warszawa Abstract: We conjecture that for each natural number n, every set of resiues mo n of carinality at least n/2 contains

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

A numerically explicit Burgess inequality and an application to qua

A numerically explicit Burgess inequality and an application to qua A numerically explicit Burgess inequality and an application to quadratic non-residues Swarthmore College AMS Sectional Meeting Akron, OH October 21, 2012 Squares Consider the sequence Can it contain any

More information

Kramers Relation. Douglas H. Laurence. Department of Physical Sciences, Broward College, Davie, FL 33314

Kramers Relation. Douglas H. Laurence. Department of Physical Sciences, Broward College, Davie, FL 33314 Kramers Relation Douglas H. Laurence Department of Physical Sciences, Browar College, Davie, FL 333 Introuction Kramers relation, name after the Dutch physicist Hans Kramers, is a relationship between

More information

PDE Notes, Lecture #11

PDE Notes, Lecture #11 PDE Notes, Lecture # from Professor Jalal Shatah s Lectures Febuary 9th, 2009 Sobolev Spaces Recall that for u L loc we can efine the weak erivative Du by Du, φ := udφ φ C0 If v L loc such that Du, φ =

More information

(a 1 m. a n m = < a 1/N n

(a 1 m. a n m = < a 1/N n Notes on a an log a Mat 9 Fall 2004 Here is an approac to te eponential an logaritmic functions wic avois any use of integral calculus We use witout proof te eistence of certain limits an assume tat certain

More information

Step 1. Analytic Properties of the Riemann zeta function [2 lectures]

Step 1. Analytic Properties of the Riemann zeta function [2 lectures] Step. Analytic Properties of the Riemann zeta function [2 lectures] The Riemann zeta function is the infinite sum of terms /, n. For each n, the / is a continuous function of s, i.e. lim s s 0 n = s n,

More information

The Exact Form and General Integrating Factors

The Exact Form and General Integrating Factors 7 The Exact Form an General Integrating Factors In the previous chapters, we ve seen how separable an linear ifferential equations can be solve using methos for converting them to forms that can be easily

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

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

Rules of Differentiation

Rules of Differentiation LECTURE 2 Rules of Differentiation At te en of Capter 2, we finally arrive at te following efinition of te erivative of a function f f x + f x x := x 0 oing so only after an extene iscussion as wat te

More information

Periods of quadratic twists of elliptic curves

Periods of quadratic twists of elliptic curves Perios of quaratic twists of elliptic curves Vivek Pal with an appenix by Amo Agashe Abstract In this paper we prove a relation between the perio of an elliptic curve an the perio of its real an imaginary

More information

Optimization Notes. Note: Any material in red you will need to have memorized verbatim (more or less) for tests, quizzes, and the final exam.

Optimization Notes. Note: Any material in red you will need to have memorized verbatim (more or less) for tests, quizzes, and the final exam. MATH 2250 Calculus I Date: October 5, 2017 Eric Perkerson Optimization Notes 1 Chapter 4 Note: Any material in re you will nee to have memorize verbatim (more or less) for tests, quizzes, an the final

More information

SOME DIVISIBILITY PROPERTIES OF BINOMIAL AND q-binomial COEFFICIENTS

SOME DIVISIBILITY PROPERTIES OF BINOMIAL AND q-binomial COEFFICIENTS SOME DIVISIBILITY PROPERTIES OF BINOMIAL AND -BINOMIAL COEFFICIENTS Victor J. W. Guo an C. Krattenthaler 2 Department of Mathematics East China Normal University Shanghai 200062 People s Republic of China

More information

GCD of Random Linear Combinations

GCD of Random Linear Combinations JOACHIM VON ZUR GATHEN & IGOR E. SHPARLINSKI (2006). GCD of Ranom Linear Combinations. Algorithmica 46(1), 137 148. ISSN 0178-4617 (Print), 1432-0541 (Online). URL https://x.oi.org/10.1007/s00453-006-0072-1.

More information

Math 1B, lecture 8: Integration by parts

Math 1B, lecture 8: Integration by parts Math B, lecture 8: Integration by parts Nathan Pflueger 23 September 2 Introuction Integration by parts, similarly to integration by substitution, reverses a well-known technique of ifferentiation an explores

More information

3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes

3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes Fin these erivatives of these functions: y.7 Implicit Differentiation -- A Brief Introuction -- Stuent Notes tan y sin tan = sin y e = e = Write the inverses of these functions: y tan y sin How woul we

More information

Implicit Differentiation

Implicit Differentiation Implicit Differentiation Thus far, the functions we have been concerne with have been efine explicitly. A function is efine explicitly if the output is given irectly in terms of the input. For instance,

More information

Lecture XII. where Φ is called the potential function. Let us introduce spherical coordinates defined through the relations

Lecture XII. where Φ is called the potential function. Let us introduce spherical coordinates defined through the relations Lecture XII Abstract We introuce the Laplace equation in spherical coorinates an apply the metho of separation of variables to solve it. This will generate three linear orinary secon orer ifferential equations:

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

θ x = f ( x,t) could be written as

θ x = f ( x,t) could be written as 9. Higher orer PDEs as systems of first-orer PDEs. Hyperbolic systems. For PDEs, as for ODEs, we may reuce the orer by efining new epenent variables. For example, in the case of the wave equation, (1)

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

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

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

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

On the number of elements with maximal order in the multiplicative group modulo n

On the number of elements with maximal order in the multiplicative group modulo n ACTA ARITHMETICA LXXXVI.2 998 On the number of elements with maximal order in the multiplicative group modulo n by Shuguang Li Athens, Ga.. Introduction. A primitive root modulo the prime p is any integer

More information

Lecture 6: Calculus. In Song Kim. September 7, 2011

Lecture 6: Calculus. In Song Kim. September 7, 2011 Lecture 6: Calculus In Song Kim September 7, 20 Introuction to Differential Calculus In our previous lecture we came up with several ways to analyze functions. We saw previously that the slope of a linear

More information

Mathematics 116 HWK 25a Solutions 8.6 p610

Mathematics 116 HWK 25a Solutions 8.6 p610 Mathematics 6 HWK 5a Solutions 8.6 p6 Problem, 8.6, p6 Fin a power series representation for the function f() = etermine the interval of convergence. an Solution. Begin with the geometric series = + +

More information

NUMERICALLY EXPLICIT ESTIMATES FOR CHARACTER SUMS. A Thesis. Submitted to the Faculty. in partial fulfillment of the requirements for the.

NUMERICALLY EXPLICIT ESTIMATES FOR CHARACTER SUMS. A Thesis. Submitted to the Faculty. in partial fulfillment of the requirements for the. UMERICALLY EXPLICIT ESTIMATES FOR CHARACTER SUMS A Thesis Submitted to the Faculty in partial fulfillment of the reuirements for the degree of Doctor of Philosophy in Mathematics by Enriue Treviño DARTMOUTH

More information

A Look at the ABC Conjecture via Elliptic Curves

A Look at the ABC Conjecture via Elliptic Curves A Look at the ABC Conjecture via Elliptic Curves Nicole Cleary Brittany DiPietro Alexaner Hill Gerar D.Koffi Beihua Yan Abstract We stuy the connection between elliptic curves an ABC triples. Two important

More information

Unit #6 - Families of Functions, Taylor Polynomials, l Hopital s Rule

Unit #6 - Families of Functions, Taylor Polynomials, l Hopital s Rule Unit # - Families of Functions, Taylor Polynomials, l Hopital s Rule Some problems an solutions selecte or aapte from Hughes-Hallett Calculus. Critical Points. Consier the function f) = 54 +. b) a) Fin

More information

Digitally delicate primes

Digitally delicate primes Digitally elicate rimes Jackson Hoer Paul Pollack Deartment of Mathematics University of Georgia Athens, Georgia 30602 Tao has shown that in any fixe base, a ositive roortion of rime numbers cannot have

More information

Hilbert functions and Betti numbers of reverse lexicographic ideals in the exterior algebra

Hilbert functions and Betti numbers of reverse lexicographic ideals in the exterior algebra Turk J Math 36 (2012), 366 375. c TÜBİTAK oi:10.3906/mat-1102-21 Hilbert functions an Betti numbers of reverse lexicographic ieals in the exterior algebra Marilena Crupi, Carmela Ferró Abstract Let K be

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

Integer partitions into arithmetic progressions

Integer partitions into arithmetic progressions Rostock. Math. Kolloq. 64, 11 16 (009) Subject Classification (AMS) 05A17, 11P81 Saek Bouroubi, Nesrine Benyahia Tani Integer partitions into arithmetic progressions ABSTRACT. Every number not in the form

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

0.1 Differentiation Rules

0.1 Differentiation Rules 0.1 Differentiation Rules From our previous work we ve seen tat it can be quite a task to calculate te erivative of an arbitrary function. Just working wit a secon-orer polynomial tings get pretty complicate

More information

Solutions to Math 41 Second Exam November 4, 2010

Solutions to Math 41 Second Exam November 4, 2010 Solutions to Math 41 Secon Exam November 4, 2010 1. (13 points) Differentiate, using the metho of your choice. (a) p(t) = ln(sec t + tan t) + log 2 (2 + t) (4 points) Using the rule for the erivative of

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

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

d dx But have you ever seen a derivation of these results? We ll prove the first result below. cos h 1

d dx But have you ever seen a derivation of these results? We ll prove the first result below. cos h 1 Lecture 5 Some ifferentiation rules Trigonometric functions (Relevant section from Stewart, Seventh Eition: Section 3.3) You all know that sin = cos cos = sin. () But have you ever seen a erivation of

More information

0.1 The Chain Rule. db dt = db

0.1 The Chain Rule. db dt = db 0. The Chain Rule A basic illustration of the chain rules comes in thinking about runners in a race. Suppose two brothers, Mark an Brian, hol an annual race to see who is the fastest. Last year Mark won

More information

DIFFERENTIAL GEOMETRY, LECTURE 15, JULY 10

DIFFERENTIAL GEOMETRY, LECTURE 15, JULY 10 DIFFERENTIAL GEOMETRY, LECTURE 15, JULY 10 5. Levi-Civita connection From now on we are intereste in connections on the tangent bunle T X of a Riemanninam manifol (X, g). Out main result will be a construction

More information

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs Lectures - Week 10 Introuction to Orinary Differential Equations (ODES) First Orer Linear ODEs When stuying ODEs we are consiering functions of one inepenent variable, e.g., f(x), where x is the inepenent

More information

LOW-LYING ZEROS OF L-FUNCTIONS AND RANDOM MATRIX THEORY

LOW-LYING ZEROS OF L-FUNCTIONS AND RANDOM MATRIX THEORY DUKE MATHEMATICAL JOUNAL Vol. 09, No., c 00 LOW-LYING ZEOS OF L-FUNCTIONS AND ANDOM MATIX THEOY MICHAEL UBINSTEIN Abstract By looking at the average behavior (n-level ensity) of the low-lying zeros of

More information

arxiv:hep-th/ v1 3 Feb 1993

arxiv:hep-th/ v1 3 Feb 1993 NBI-HE-9-89 PAR LPTHE 9-49 FTUAM 9-44 November 99 Matrix moel calculations beyon the spherical limit arxiv:hep-th/93004v 3 Feb 993 J. Ambjørn The Niels Bohr Institute Blegamsvej 7, DK-00 Copenhagen Ø,

More information

Proof by Mathematical Induction.

Proof by Mathematical Induction. Proof by Mathematical Inuction. Mathematicians have very peculiar characteristics. They like proving things or mathematical statements. Two of the most important techniques of mathematical proof are proof

More information

Week 1: Number Theory - Euler Phi Function, Order and Primitive Roots. 1 Greatest Common Divisor and the Euler Phi Function

Week 1: Number Theory - Euler Phi Function, Order and Primitive Roots. 1 Greatest Common Divisor and the Euler Phi Function 2010 IMO Summer Training: Number Theory 1 Week 1: Number Theory - Euler Phi Function, Orer an Primitive Roots 1 Greatest Common Divisor an the Euler Phi Function Consier the following problem. Exercise

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

MATHEMATICS BONUS FILES for faculty and students

MATHEMATICS BONUS FILES for faculty and students MATHMATI BONU FIL for faculty an stuents http://www.onu.eu/~mcaragiu1/bonus_files.html RIVD: May 15, 9 PUBLIHD: May 5, 9 toffel 1 Maxwell s quations through the Major Vector Theorems Joshua toffel Department

More information

A Remark on Sieving in Biased Coin Convolutions

A Remark on Sieving in Biased Coin Convolutions A Remark on Sieving in Biased Coin Convolutions Mei-Chu Chang Department of Mathematics University of California, Riverside mcc@math.ucr.edu Abstract In this work, we establish a nontrivial level of distribution

More information

ON BEAUVILLE STRUCTURES FOR PSL(2, q)

ON BEAUVILLE STRUCTURES FOR PSL(2, q) ON BEAUVILLE STRUCTURES FOR PSL(, q) SHELLY GARION Abstract. We characterize Beauville surfaces of unmixe type with group either PSL(, p e ) or PGL(, p e ), thus extening previous results of Bauer, Catanese

More information

All s Well That Ends Well: Supplementary Proofs

All s Well That Ends Well: Supplementary Proofs All s Well That Ens Well: Guarantee Resolution of Simultaneous Rigi Boy Impact 1:1 All s Well That Ens Well: Supplementary Proofs This ocument complements the paper All s Well That Ens Well: Guarantee

More information

Lower bounds on Locality Sensitive Hashing

Lower bounds on Locality Sensitive Hashing Lower bouns on Locality Sensitive Hashing Rajeev Motwani Assaf Naor Rina Panigrahy Abstract Given a metric space (X, X ), c 1, r > 0, an p, q [0, 1], a istribution over mappings H : X N is calle a (r,

More information

Mod p 3 analogues of theorems of Gauss and Jacobi on binomial coefficients

Mod p 3 analogues of theorems of Gauss and Jacobi on binomial coefficients ACTA ARITHMETICA 2.2 (200 Mo 3 analogues of theorems of Gauss an Jacobi on binomial coefficients by John B. Cosgrave (Dublin an Karl Dilcher (Halifax. Introuction. One of the most remarkable congruences

More information