ABSOLUTELY ABNORMAL NUMBERS GREG MARTIN

Size: px
Start display at page:

Download "ABSOLUTELY ABNORMAL NUMBERS GREG MARTIN"

Transcription

1 ABSOLUTELY ABNORMAL NUMBERS GREG MARTIN arxiv:math/ v2 [math.nt] 7 Nov Introduction A normal number is one whose decimal exansion or exansion to some base other than 0 contains all ossible finite configurations of digits with roughly their exected frequencies. More formally, when b 2 is an integer, let Nα; b, a, x = #{ n x: the nth digit in the base-b exansion of α is a} denote the counting function of the occurrences of the digit a 0 a < b in the b-ary exansion of the real number α, and define the corresonding limiting frequency δα; b, a = lim x x Nα; b, a, x, 2 if the limit exists. The number α is simly normal to the base b if the limit defining δα; b, a exists and equals /b for each 0 a < b. When α is a b-adic fraction a/b n, which has one b-ary exansion with all but finitely many digits equaling zero and another b-ary exansion with all but finitely many digits equaling b, these limiting frequencies are not uniquely defined; however, such an α will not be simly normal to the base b in either case. A number is normal to the base b if it is simly normal to each of the bases b, b 2, b 3,.... This is equivalent see [6, Chater 8] to demanding that for any finite string b b 2...b k of base-b digits, the limiting frequency of occurrences of this string in the b-ary exansion of α defined analogously to equation 2 above exists and equals /b k. For instance, it was shown by Chamernowne [] that the number formed by concatenating all of the ositive integers together into a single decimal is normal to base 0 the analogous construction works for any base b 2, and this sort of examle has been generalized [2, 3]. It is known that almost all real numbers are normal to any given base b see for instance [6, Theorem 8.], and consequently almost all real numbers are absolutely normal, i.e., normal to all bases b 2 simultaneously. On the other hand, we have not roven a single naturally occurring real number to be absolutely normal. Let us call a number abnormal to the base b if it is not normal to the base b, and absolutely abnormal if it is abnormal to all bases b 2 simultaneously. For instance, every rational number r is absolutely abnormal: any b-ary exansion of r will eventually reeat, say with eriod k, in which case r is about as far from being simly normal to the base b k as it can be. Even though the set of absolutely abnormal numbers is the intersection of countably many sets of measure zero, it was ointed out by Maxfield [5] that the set of numbers normal to a given base b is uncountable and dense; later, Schmidt [7] gave a comlicated constructive roof of this fact. In this aer we exhibit a simle construction of a secific irrational in fact, transcendental real number that is absolutely abnormal: Theorem. The number α defined in equation 8 below is irrational and absolutely abnormal. 99 Mathematics Subject Classification. K6 A63.

2 2 GREG MARTIN In fact, our construction easily generalizes to roduce concretely an uncountable set of absolutely abnormal numbers in any oen interval. It is instructive to consider why constructing an irrational, absolutely abnormal number is even difficult. Since we already know that rational numbers are absolutely abnormal, our first thought might be to choose an irrational number whose b-ary exansions mimic those of rational numbers for long stretches, i.e., an irrational number with very good rational aroximations. Thus a natural class to consider is the Liouville numbers, defined to be those real numbers β such that for every ositive integer m, there exists a rational number q not necessarily in lowest terms satisfying 0 < β q < qm. 3 These Liouville numbers are all transcendcental see Lemma 6 below in fact Liouville introduced these numbers recisely to exhibit secific transcendental numbers, and the offcited examle β = 0 n! = n= is usually the first number that students see roven transcendental. Clearly β is abnormal to the base 0; how would we go about showing, for examle, that β is abnormal to the base 2? We would try to argue that the binary exansion of β agrees with that of each of the rational numbers k β k = 0 n! 4 n= through about the n +! log 2 0-th binary digit. Since each β k is rational and thus abnormal to the base 2, can we conclude that β itself is abnormal to the base 2? Not quite: it seems that we would have to show that there is a fixed ower 2 n such that infinitely many of the β k were not simly normal to the base 2 n. For each β k there is some ower 2 n k such that βk is not simly normal to the base 2 n k, but these exonents nk might very well grow with k. In fact, it is not hard to show using the fact that 2 is a rimitive root modulo every ower of 5 that any 0-adic fraction that is not a 2-adic fraction including each β k is simly normal to the base 2! In general, without actually comuting binary exansions of secific fractions, it seems imossible to rule out the incredible ossibility that the β k are accidentally simly normal to bases that are high owers of 2. In summary, any Liouville number we write down is almost certain morally to be absolutely abnormal, but actually roving its absolute abnormality is another matter. To circumvent this difficulty, we construct a Liouville number whose successive rational aroximations are b-adic fractions with b varying, rather than all being 0-adic fractions as in equation 4. The existence of such Liouville numbers can certainly be roven using just the fact that the b-adic fractions are dense for any integer b 2; however, our construction is comletely exlicit. We first give the comlete construction of our irrational, absolutely abnormal number α and then show afterwards that α has the required roerties.

3 ABSOLUTELY ABNORMAL NUMBERS 3 2. The construction and roof We begin by defining a sequence of integers with the recursive rule d 2 = 2 2, d 3 = 3 2, d 4 = 4 3, d 5 = 5 6, d 6 = 6 30,57,578,25,... This sequence exhibits the attern = j /j j 3. 5 d 4 = 4 32, d 5 = 5 432, d6 = ,... which in general gives the tyesetting nightmare = j j j 2 j Using these integers, we define the sequence of rational numbers α k = so that α 2 =, α 4 3 = 2, α 3 4 = 2, α 32 5 = 00,35,803,222, and so on. 52,587,890,625 We now nominate α = lim α k = k k j=2. 6, 7 as our candidate for an irrational, absolutely abnormal number. The first few digits in the decimal exansion of α are j=2 α = }{{ 99999} , 9 23,747,29,559 9s from which we can get an inkling of the extreme abnormality of α at least to the base 0. We need to rove three things concerning this number α: first, that the infinite roduct 8 defining α actually converges; second, that α is irrational; and finally, that α is absolutely abnormal. It is aarent from the exressions 5 and 6 that the grow ridiculously raidly and hence that the infinite roduct 8 should indeed converge. The following lemma rovides a crude inequality relating the integers that we can use to rove this assertion rigorously. Lemma. For j 5 we have > 2d 2 j. Proof: We roceed by induction, the case j = 5 being true by insection. For j > 5 we surely have Notice that from the definition 5 of the, = j /j > 5 /j. dj 2 j = j j 2 > j 2 2j 2 =, 8

4 4 GREG MARTIN and therefore > 5 dj. Now using the fact easily roven by your favorite calculus student that 5 x x 5 for x 5, we conclude that 5 > > 2d 2 j, as desired. Equied with this inequality, we can now show that the infinite roduct 8 defining α converges. Moreover, we can show that the number α is well aroximated by the rational numbers α k. Notice that α 4 is exactly and α 5 is exactly cf. the decimal exansion 9 of α. Lemma 2. The roduct 8 defining α converges. Moreover, for k 2 we have α k > α > α k 2 d k+. 0 Proof: To show that the roduct 8 converges, we must show that the corresonding sum j=2 / converges. But by Lemma we certainly have > 2 for j 5, and therefore j=2 d 2 + d 3 + j=4 2 j 4 d 4 = d 2 + d d 4 <. Similarly, using the fact that x j x j for any real numbers 0 x j, we see that for k 3 α k > α = α k αk j=k+ > α k j=k+ j=k+ 2 j k d k+ = α k 2 d k+ > αk 2 d k+. The inequalities 0 for k = 2 follow from those for k = 3, as it is easily verified by hand that α 2 > α 3 > α 3 2 d 4 > α 2 2 d 3. It turns out that both the roof that α is irrational and the roof that α is absolutely abnormal hinge on the fact that each rational aroximation α k is in fact a k-adic fraction that is, when α k is exressed in lowest terms, its denominator divides a ower of k. In other to obtain α k, the numerator of the latter fraction comletely cancels out the denominator of α k, so that all that can remain in the denominator of α k are the owers of k resent in d k. Proving that this always haens is an exercise in elementary number theory, which we resent in the next three lemmas. words, each time we multily α k by d k = d k d k Lemma 3. Let k and r be ositive integers, and let be a rime. If k is divisible by r, then k + is divisible by r+.

5 ABSOLUTELY ABNORMAL NUMBERS 5 Proof: Writing k = r n, we have from the binomial theorem k + = r n + = { r n + r n r n 2 + r n + } = r n + r n r n 2 + r n. Since all of these binomial coefficients k are integers, each term in this last sum is visibly divisible by r+. Lemma 4. For any ositive integers k and m, the integer k + km is divisible by k m+. Proof: If r is any rime ower dividing k, an rm-fold alication of Lemma 3 shows us that k + rm is divisible by r+rm. Then, since k + km = k + rm k + km rm + k + km 2 rm + + k + rm +, we see that k + km is also divisible by rm+. In articular, since r was an arbitrary rime ower dividing k, we see that k+ km is divisible by every rime ower that divides k m+. This is enough to verify that k + km is divisible by k m+ itself. Lemma 5. For each k 2, the roduct d k α k is an integer. In articular, since d k is a ower of k, we see that α k is a k-adic fraction. Proof: We roceed by induction on k, the cases k = 2 and k = 3 being evident by insection. For the inductive ste, suose as our induction hyothesis that d k α k is indeed an integer for a given k 3. We may write d k+ α k+ = d k+ α k = k + d k/k α k = k + d k/k d k d k α k by the definitions 5 and 7 of d k and α k, resectively. The second factor d k α k is an integer by the induction hyothesis. On the other hand, we may rewrite k + d k/k = k + kd k /k. Alying Lemma 4 with m = d k /k, we see that this exression is divisible by k d k /k = d k. Therefore the fraction on the right-hand side of equation is in fact an integer, and so d k+ α k+ is itself an integer, which comletes the roof. As mentioned in the introduction, the key to roving that α is irrational is to show that it is in fact a Liouville number. It is a standard fact that any Liouville number is transcendental see for instance [6, Theorem 7.9]; for the sake of keeing this aer self-contained, we include a roof. Lemma 6. Every Liouville number is transcendental. Proof: We shall rove the contraositive, that no algebraic number can satisfy the Liouville roerty 3 for all ositive m. Suose that β is algebraic. Without loss of generality, we may suose that β by adding an aroriate integer. Let 2 m β x = c d x d + c d x d + + c 2 x 2 + c x + c 0

6 6 GREG MARTIN be the minimal olynomial for β, where the coefficients c i are integers. Now suose that q is a rational aroximation to β, say β <. Then q 2 m β = mβ mβ β q q d = c d β d c 2 β 2 + c q q q β = q β d c d + q q d 2β + + β d + + c 2 q + β + c. Since neither β nor exceeds in absolute value, we see that q m β q q β Cβ, 2 where we have defined the constant Cβ = d c d + d c d c 2 + c. On the other hand, m β q is a rational number with denominator at most q d, and it is nonzero since m β is irreducible. Therefore m β q qd. 3 Together, the inequalities 2 and 3 imly that β q Cβ, q d which recludes the inequality 3 from holding when m is large enough. To show that α is indeed a Liouville number, we will need an inequality somewhat stronger than the one given in Lemma. The following lemma furnishes a simle inequality that is strong enough for this urose. Lemma 7. For j 5 we have + > d j. Proof: It is immediate that + = j + dj/j > j dj/j > j 2d2 j /j = j dj /j dj 2j /j = d 2j /j j where we have used Lemma for the second inequality. > d j, Lemma 8. α is a Liouville number; in articular, α is transcendental. Proof: We can easily show show that the α k rovide the very close rational aroximations needed in equation 3 to make α a Liouville number. Indeed, α k can be written as a fraction whose denominator is d k by Lemma 5, while Lemma 2 tells us that for k 5 0 < α α k < 2 < 2, d k+ d d k k where the last inequality is by Lemma 7. Since d k tends to infinity with k, this shows that α is a Liouville number and hence transcendental by Lemma 6.

7 ABSOLUTELY ABNORMAL NUMBERS 7 At last we have all the tools we need to establish the theorem stated in the introduction: Theorem. The number α defined in equation 8 is irrational and absolutely abnormal. Proof: We have just shown in Lemma 8 that α is irrational. As for roving that α is absolutely abnormal, the idea is that for every integer base b 2, the number α is just a tiny bit less than the b-adic fraction α b. Since the b-ary exansion of α b terminates in an infinite string of zeros, the slightly smaller number α will have a long string of digits equal to b before resuming a more random behavior. This is evident in the decimal exansion 9 of α, as α 5 is a 0-adic fraction as well as a 5-adic fraction. This haens more than once, as each of α b, α b 2, α b 3, and so on is a b-adic fraction. Consequently, the b-ary exansion of α will have increasingly long strings consisting solely of the digit b, which will revent it from being even simly normal to the base b. More quantitatively, let b 2 and r be ositive integers. Since d b rα b r is an integer by Lemma 5, and since d b r = b r d b r /b r by definition, the b-ary exansion of α b r terminates after at most rd b r /b r nonzero digits. On the other hand, by Lemma 2 we know that α is less than α b r but by no more than 2/d b r + = 2/b r + d b r/br < 2/b rd b r /br. Therefore, when we subtract this small difference from α b r, the resulting b-ary exansion will have occurrences of the digit b beginning at the rd b r /b r + -th digit at the latest, and continuing through at least the rd b r/b r -th digit since the difference will start to show only in the rd b r/b r -th digit at the soonest. Using the notation defined in equation, this imlies that N α; b, b, rd b r rd br b r b r At this oint we can calculate that lim su x Using Lemma, we see that lim su x rdbr rdbr > b r b r x Nα; b, b, x lim su b r r rd b r x Nα; b, b, x lim su r lim su r 2d b r 2rd br b r. N α; b, b, rd b r b r 2d b r. 2d 2 b r d b r = lim su =. r d b r In articular, the frequency δα; b, b defined in equation 2 either does not exist or else equals, either of which recludes α from being simly normal to the base b. Since b 2 was arbitrary, this shows that α is absolutely abnormal. 3. Generalizations and further questions We mentioned in the introduction that our construction of an irrational, absolutely abnormal number can be generalized to exhibit an uncountable set of absolutely abnormal numbers in any oen interval, and we now describe that extension. Clearly we may limit our attention to subintervals of [0, ], since the set of normal numbers to any base is invariant under translation by an integer. In the original construction at the beginning of Section 2, we began with d 2 = 2 2 and α 2 = 3 4 ; to be more general, let α 2 be any 2-adic fraction a d 2, where d 2 = 2 n 2 for some ositive integer n 2. Next fix any sequence n 3, n 4,... of ositive

8 8 GREG MARTIN integers and modify the recursive definition 5 of the to If we now set = j n j /j α k = α 2 k j=3 j 3. 4 where of course the numbers α k now deend on α 2 and the n j, then the resence of the integers n j will not hinder the roof of Lemma 5 that d k α k is always a k-adic fraction this is a consequence of the fact that x always divides x n. Therefore the new limit α = lim k α k can be shown to be a transcendental, absolutely abnormal number in exactly the same way, the modifications only accelerating the convergence of the infinite roduct and enhancing the ease with which the various inequalities in the Lemmas are satisfied. When we make this modification, then the one case we must avoid is α 2 = and n 2 2 = n 3 = =, for in this case it will haen that = j for every j 2. Then each roduct α k is a telescoing roduct with value, and their limit α = 0, while certainly absolutely abnormal, will be k uninterestingly so. In articular, Lemma 2 alied with k = 2 would show in this context that a > α > a 2; 2 n 2 2 n 2 thus by choosing α 2 = a aroriately, we can ensure that the resulting number α lies in 2 n 2 any rescribed oen subinterval of [0, ]. Moreover, the various choices of the integers n 3, n 4,... will give rise to distinct limits α; one can show this by considering the first index j 3 at which the choices of n j differ, say, and then alying Lemma 2 with k = j to each resulting α. This generalization thus ermits us to construct uncountably many transcendental, absolutely abnormal numbers in any rescribed oen interval. One interesting secial case of this generalized construction arises from the choices α 2 = 2 and n j = φj for all j 3, where φ is the Euler totient function; these choices give the simle recursive rule = j φdj for j 3. In this secial case, the crucial roerty that d k α k is always an integer is in fact a direct consequence of Euler s theorem that a φn is always congruent to modulo n as long as a and n have no common factors. In general, the smallest exonent e k we can take in the recursive rule d k = k e k so that this crucial roerty is satisfied is the multilicative order of k modulo n, which might be smaller than d k /k ; however, our construction given in Section 2 has the advantage of being more exlicit, as it is not necessary to wait and see the exact value of d k before knowing how we will construct d k. We remark that Schmidt s construction [7] mentioned in the introduction actually gives the following more owerful result: given any set S of integers exceeding with the roerty that an integer b is in S if and only if every erfect ower of b is in S, Schmidt constructed real numbers that are normal to every base b S and abnormal to every base b / S. The roblem considered herein is the secial case where S =. It would be interesting to see if the construction in this aer could be modified to roduce these selectively normal numbers as well. We conclude with a few remarks about absolutely simly abnormal numbers, numbers that are simly normal to no base whatsoever. As we saw in the roof of our Theorem, the number α does in fact meet this stronger criterion of abnormality. On the other hand, while all rational numbers are absolutely abnormal, many of them are in fact simly normal to various bases. For examle, /3 is simly normal to the base 2, as its binary reresentation is

9 ABSOLUTELY ABNORMAL NUMBERS In fact, one can check that every fraction in reduced form whose denominator is 3, 5, 6, 9, 0,, 2, 3, 7, 8, 9, 20,... is simly normal to the base 2 resumably there are infinitely many such odd denominators can it be roven?; every fraction whose denominator is 7, 4, 9, 2, 3,... is simly normal to the base 3; and so on. Somewhat generally, if is a rime such that one of the divisors b of is a rimitive root for, then every fraction whose denominator is is simly normal to the base b although this is not a necessary condition, as the normality of fractions with denominator 7 to base 2 shows. For a fraction with denominator q to be simly normal to the base b we can assume, by multilying by b a few times if necessary, that b and q are relatively rime, it is necessary for b to divide the multilicative order of b modulo q, and hence b must certainly divide φq by Euler s theorem. Therefore, we immediately see that every fraction whose denominator is a ower of 2 is absolutely simly abnormal. One can also verify by this criterion that every fraction whose denominator in reduced form is 5 or 28, for examle, is absolutely simly abnormal. It seems to be a nontrivial roblem to classify, in general, which rational numbers are absolutely simly abnormal. Since some fractions with denominator 63 are simly normal to the base 2 while others are not, as one can check, absolute simle abnormality robably deends in general on the numerator as well as the denominator of the fraction. Acknowledgements: Glyn Harman gave a survey talk on normal numbers at the Millennial Conference on Number Theory at the University of Illinois in May 2000 see [4], at the end of which Andrew Granville asked the question about a secific absolutely abnormal number that surred this aer. Carl Pomerance suggested the number n= n! n!, a Liouville number which again is almost surely absolutely abnormal, but a roof of this seems hoeless. The author would like to thank all three for their interest in this construction, and also an anonymous referee for several helful comments on a reliminary version of this aer. References [] D.G. Chamernowne, The construction of decimals normal in the scale of ten, J. London Math. Soc , [2] A.H. Coeland and P. Erdős, Note on normal numbers, Bull. Amer. Math. Soc , [3] H. Davenort and P. Erdős, Note on normal decimals, Canadian J. Math , [4] G. Harman, 00 years of normal numbers, Proceedings of the Millennial Conference on Number Theory Urbana, IL, A K Peters, to aear. [5] J.E. Maxfield, Normal k-tules, Pacific J. Math , [6] I. Niven, Irrational numbers, The Mathematical Association of America. Distributed by John Wiley and Sons, Inc., New York, N.Y., 956, The Carus Mathematical Monograhs, No.. [7] W.M. Schmidt, Über die Normalität von Zahlen zu verschiedenen Basen, Acta Arith. 7 96/962, Deartment of Mathematics, University of Toronto, Canada M5S 3G3 address: gerg@math.toronto.edu

TRANSCENDENTAL NUMBERS

TRANSCENDENTAL NUMBERS TRANSCENDENTAL NUMBERS JEREMY BOOHER. Introduction The Greeks tried unsuccessfully to square the circle with a comass and straightedge. In the 9th century, Lindemann showed that this is imossible by demonstrating

More information

1 Gambler s Ruin Problem

1 Gambler s Ruin Problem Coyright c 2009 by Karl Sigman 1 Gambler s Ruin Problem Let N 2 be an integer and let 1 i N 1. Consider a gambler who starts with an initial fortune of $i and then on each successive gamble either wins

More information

As we have seen, there is a close connection between Legendre symbols of the form

As we have seen, there is a close connection between Legendre symbols of the form Gauss Sums As we have seen, there is a close connection between Legendre symbols of the form 3 and cube roots of unity. Secifically, if is a rimitive cube root of unity, then 2 ± i 3 and hence 2 2 3 In

More information

Pythagorean Triples and Rational Points on the Unit Circle

Pythagorean Triples and Rational Points on the Unit Circle Pythagorean Triles and Rational Points on the Unit Circle Solutions Below are samle solutions to the roblems osed. You may find that your solutions are different in form and you may have found atterns

More information

6.042/18.062J Mathematics for Computer Science December 12, 2006 Tom Leighton and Ronitt Rubinfeld. Random Walks

6.042/18.062J Mathematics for Computer Science December 12, 2006 Tom Leighton and Ronitt Rubinfeld. Random Walks 6.042/8.062J Mathematics for Comuter Science December 2, 2006 Tom Leighton and Ronitt Rubinfeld Lecture Notes Random Walks Gambler s Ruin Today we re going to talk about one-dimensional random walks. In

More information

FREQUENCIES OF SUCCESSIVE PAIRS OF PRIME RESIDUES

FREQUENCIES OF SUCCESSIVE PAIRS OF PRIME RESIDUES FREQUENCIES OF SUCCESSIVE PAIRS OF PRIME RESIDUES AVNER ASH, LAURA BELTIS, ROBERT GROSS, AND WARREN SINNOTT Abstract. We consider statistical roerties of the sequence of ordered airs obtained by taking

More information

SOME PROPERTIES OF EXTENSIONS OF SMALL DEGREE OVER Q. 1. Quadratic Extensions

SOME PROPERTIES OF EXTENSIONS OF SMALL DEGREE OVER Q. 1. Quadratic Extensions SOME PROPERTIES OF EXTENSIONS OF SMALL DEGREE OVER Q TREVOR ARNOLD Abstract This aer demonstrates a few characteristics of finite extensions of small degree over the rational numbers Q It comrises attemts

More information

Number Theory Naoki Sato <ensato@hotmail.com>

Number Theory Naoki Sato <ensato@hotmail.com> Number Theory Naoki Sato 0 Preface This set of notes on number theory was originally written in 1995 for students at the IMO level. It covers the basic background material that an

More information

Number Theory Naoki Sato <sato@artofproblemsolving.com>

Number Theory Naoki Sato <sato@artofproblemsolving.com> Number Theory Naoki Sato 0 Preface This set of notes on number theory was originally written in 1995 for students at the IMO level. It covers the basic background material

More information

PRIME NUMBERS AND THE RIEMANN HYPOTHESIS

PRIME NUMBERS AND THE RIEMANN HYPOTHESIS PRIME NUMBERS AND THE RIEMANN HYPOTHESIS CARL ERICKSON This minicourse has two main goals. The first is to carefully define the Riemann zeta function and exlain how it is connected with the rime numbers.

More information

Complex Conjugation and Polynomial Factorization

Complex Conjugation and Polynomial Factorization Comlex Conjugation and Polynomial Factorization Dave L. Renfro Summer 2004 Central Michigan University I. The Remainder Theorem Let P (x) be a olynomial with comlex coe cients 1 and r be a comlex number.

More information

Lectures on the Dirichlet Class Number Formula for Imaginary Quadratic Fields. Tom Weston

Lectures on the Dirichlet Class Number Formula for Imaginary Quadratic Fields. Tom Weston Lectures on the Dirichlet Class Number Formula for Imaginary Quadratic Fields Tom Weston Contents Introduction 4 Chater 1. Comlex lattices and infinite sums of Legendre symbols 5 1. Comlex lattices 5

More information

More Properties of Limits: Order of Operations

More Properties of Limits: Order of Operations math 30 day 5: calculating its 6 More Proerties of Limits: Order of Oerations THEOREM 45 (Order of Oerations, Continued) Assume that!a f () L and that m and n are ositive integers Then 5 (Power)!a [ f

More information

Continued Fractions and the Euclidean Algorithm

Continued Fractions and the Euclidean Algorithm Continued Fractions and the Euclidean Algorithm Lecture notes prepared for MATH 326, Spring 997 Department of Mathematics and Statistics University at Albany William F Hammond Table of Contents Introduction

More information

Our Primitive Roots. Chris Lyons

Our Primitive Roots. Chris Lyons Our Primitive Roots Chris Lyons Abstract When n is not divisible by 2 or 5, the decimal expansion of the number /n is an infinite repetition of some finite sequence of r digits. For instance, when n =

More information

Precalculus Prerequisites a.k.a. Chapter 0. August 16, 2013

Precalculus Prerequisites a.k.a. Chapter 0. August 16, 2013 Precalculus Prerequisites a.k.a. Chater 0 by Carl Stitz, Ph.D. Lakeland Community College Jeff Zeager, Ph.D. Lorain County Community College August 6, 0 Table of Contents 0 Prerequisites 0. Basic Set

More information

Stochastic Derivation of an Integral Equation for Probability Generating Functions

Stochastic Derivation of an Integral Equation for Probability Generating Functions Journal of Informatics and Mathematical Sciences Volume 5 (2013), Number 3,. 157 163 RGN Publications htt://www.rgnublications.com Stochastic Derivation of an Integral Equation for Probability Generating

More information

The Cubic Formula. The quadratic formula tells us the roots of a quadratic polynomial, a polynomial of the form ax 2 + bx + c. The roots (if b 2 b+

The Cubic Formula. The quadratic formula tells us the roots of a quadratic polynomial, a polynomial of the form ax 2 + bx + c. The roots (if b 2 b+ The Cubic Formula The quadratic formula tells us the roots of a quadratic olynomial, a olynomial of the form ax + bx + c. The roots (if b b+ 4ac 0) are b 4ac a and b b 4ac a. The cubic formula tells us

More information

Math 319 Problem Set #3 Solution 21 February 2002

Math 319 Problem Set #3 Solution 21 February 2002 Math 319 Problem Set #3 Solution 21 February 2002 1. ( 2.1, problem 15) Find integers a 1, a 2, a 3, a 4, a 5 such that every integer x satisfies at least one of the congruences x a 1 (mod 2), x a 2 (mod

More information

An example of a computable

An example of a computable An example of a computable absolutely normal number Verónica Becher Santiago Figueira Abstract The first example of an absolutely normal number was given by Sierpinski in 96, twenty years before the concept

More information

CHAPTER 5. Number Theory. 1. Integers and Division. Discussion

CHAPTER 5. Number Theory. 1. Integers and Division. Discussion CHAPTER 5 Number Theory 1. Integers and Division 1.1. Divisibility. Definition 1.1.1. Given two integers a and b we say a divides b if there is an integer c such that b = ac. If a divides b, we write a

More information

The Magnus-Derek Game

The Magnus-Derek Game The Magnus-Derek Game Z. Nedev S. Muthukrishnan Abstract We introduce a new combinatorial game between two layers: Magnus and Derek. Initially, a token is laced at osition 0 on a round table with n ositions.

More information

Coin ToGa: A Coin-Tossing Game

Coin ToGa: A Coin-Tossing Game Coin ToGa: A Coin-Tossing Game Osvaldo Marrero and Paul C Pasles Osvaldo Marrero OsvaldoMarrero@villanovaedu studied mathematics at the University of Miami, and biometry and statistics at Yale University

More information

Introduction to NP-Completeness Written and copyright c by Jie Wang 1

Introduction to NP-Completeness Written and copyright c by Jie Wang 1 91.502 Foundations of Comuter Science 1 Introduction to Written and coyright c by Jie Wang 1 We use time-bounded (deterministic and nondeterministic) Turing machines to study comutational comlexity of

More information

POISSON PROCESSES. Chapter 2. 2.1 Introduction. 2.1.1 Arrival processes

POISSON PROCESSES. Chapter 2. 2.1 Introduction. 2.1.1 Arrival processes Chater 2 POISSON PROCESSES 2.1 Introduction A Poisson rocess is a simle and widely used stochastic rocess for modeling the times at which arrivals enter a system. It is in many ways the continuous-time

More information

ENFORCING SAFETY PROPERTIES IN WEB APPLICATIONS USING PETRI NETS

ENFORCING SAFETY PROPERTIES IN WEB APPLICATIONS USING PETRI NETS ENFORCING SAFETY PROPERTIES IN WEB APPLICATIONS USING PETRI NETS Liviu Grigore Comuter Science Deartment University of Illinois at Chicago Chicago, IL, 60607 lgrigore@cs.uic.edu Ugo Buy Comuter Science

More information

Prime Numbers and Irreducible Polynomials

Prime Numbers and Irreducible Polynomials Prime Numbers and Irreducible Polynomials M. Ram Murty The similarity between prime numbers and irreducible polynomials has been a dominant theme in the development of number theory and algebraic geometry.

More information

CHAPTER II THE LIMIT OF A SEQUENCE OF NUMBERS DEFINITION OF THE NUMBER e.

CHAPTER II THE LIMIT OF A SEQUENCE OF NUMBERS DEFINITION OF THE NUMBER e. CHAPTER II THE LIMIT OF A SEQUENCE OF NUMBERS DEFINITION OF THE NUMBER e. This chapter contains the beginnings of the most important, and probably the most subtle, notion in mathematical analysis, i.e.,

More information

CHAPTER 5 Round-off errors

CHAPTER 5 Round-off errors CHAPTER 5 Round-off errors In the two previous chapters we have seen how numbers can be represented in the binary numeral system and how this is the basis for representing numbers in computers. Since any

More information

Point Location. Preprocess a planar, polygonal subdivision for point location queries. p = (18, 11)

Point Location. Preprocess a planar, polygonal subdivision for point location queries. p = (18, 11) Point Location Prerocess a lanar, olygonal subdivision for oint location ueries. = (18, 11) Inut is a subdivision S of comlexity n, say, number of edges. uild a data structure on S so that for a uery oint

More information

A Simple Model of Pricing, Markups and Market. Power Under Demand Fluctuations

A Simple Model of Pricing, Markups and Market. Power Under Demand Fluctuations A Simle Model of Pricing, Markus and Market Power Under Demand Fluctuations Stanley S. Reynolds Deartment of Economics; University of Arizona; Tucson, AZ 85721 Bart J. Wilson Economic Science Laboratory;

More information

The Online Freeze-tag Problem

The Online Freeze-tag Problem The Online Freeze-tag Problem Mikael Hammar, Bengt J. Nilsson, and Mia Persson Atus Technologies AB, IDEON, SE-3 70 Lund, Sweden mikael.hammar@atus.com School of Technology and Society, Malmö University,

More information

INDISTINGUISHABILITY OF ABSOLUTELY CONTINUOUS AND SINGULAR DISTRIBUTIONS

INDISTINGUISHABILITY OF ABSOLUTELY CONTINUOUS AND SINGULAR DISTRIBUTIONS INDISTINGUISHABILITY OF ABSOLUTELY CONTINUOUS AND SINGULAR DISTRIBUTIONS STEVEN P. LALLEY AND ANDREW NOBEL Abstract. It is shown that there are no consistent decision rules for the hypothesis testing problem

More information

Homework until Test #2

Homework until Test #2 MATH31: Number Theory Homework until Test # Philipp BRAUN Section 3.1 page 43, 1. It has been conjectured that there are infinitely many primes of the form n. Exhibit five such primes. Solution. Five such

More information

Price Elasticity of Demand MATH 104 and MATH 184 Mark Mac Lean (with assistance from Patrick Chan) 2011W

Price Elasticity of Demand MATH 104 and MATH 184 Mark Mac Lean (with assistance from Patrick Chan) 2011W Price Elasticity of Demand MATH 104 and MATH 184 Mark Mac Lean (with assistance from Patrick Chan) 2011W The rice elasticity of demand (which is often shortened to demand elasticity) is defined to be the

More information

Computational Finance The Martingale Measure and Pricing of Derivatives

Computational Finance The Martingale Measure and Pricing of Derivatives 1 The Martingale Measure 1 Comutational Finance The Martingale Measure and Pricing of Derivatives 1 The Martingale Measure The Martingale measure or the Risk Neutral robabilities are a fundamental concet

More information

Algebraic and Transcendental Numbers

Algebraic and Transcendental Numbers Pondicherry University July 2000 Algebraic and Transcendental Numbers Stéphane Fischler This text is meant to be an introduction to algebraic and transcendental numbers. For a detailed (though elementary)

More information

A Modified Measure of Covert Network Performance

A Modified Measure of Covert Network Performance A Modified Measure of Covert Network Performance LYNNE L DOTY Marist College Deartment of Mathematics Poughkeesie, NY UNITED STATES lynnedoty@maristedu Abstract: In a covert network the need for secrecy

More information

Stat 134 Fall 2011: Gambler s ruin

Stat 134 Fall 2011: Gambler s ruin Stat 134 Fall 2011: Gambler s ruin Michael Lugo Setember 12, 2011 In class today I talked about the roblem of gambler s ruin but there wasn t enough time to do it roerly. I fear I may have confused some

More information

Monitoring Frequency of Change By Li Qin

Monitoring Frequency of Change By Li Qin Monitoring Frequency of Change By Li Qin Abstract Control charts are widely used in rocess monitoring roblems. This aer gives a brief review of control charts for monitoring a roortion and some initial

More information

Continued Fractions. Darren C. Collins

Continued Fractions. Darren C. Collins Continued Fractions Darren C Collins Abstract In this paper, we discuss continued fractions First, we discuss the definition and notation Second, we discuss the development of the subject throughout history

More information

A simple criterion on degree sequences of graphs

A simple criterion on degree sequences of graphs Discrete Applied Mathematics 156 (2008) 3513 3517 Contents lists available at ScienceDirect Discrete Applied Mathematics journal homepage: www.elsevier.com/locate/dam Note A simple criterion on degree

More information

MATH10212 Linear Algebra. Systems of Linear Equations. Definition. An n-dimensional vector is a row or a column of n numbers (or letters): a 1.

MATH10212 Linear Algebra. Systems of Linear Equations. Definition. An n-dimensional vector is a row or a column of n numbers (or letters): a 1. MATH10212 Linear Algebra Textbook: D. Poole, Linear Algebra: A Modern Introduction. Thompson, 2006. ISBN 0-534-40596-7. Systems of Linear Equations Definition. An n-dimensional vector is a row or a column

More information

MATH 289 PROBLEM SET 4: NUMBER THEORY

MATH 289 PROBLEM SET 4: NUMBER THEORY MATH 289 PROBLEM SET 4: NUMBER THEORY 1. The greatest common divisor If d and n are integers, then we say that d divides n if and only if there exists an integer q such that n = qd. Notice that if d divides

More information

On the predictive content of the PPI on CPI inflation: the case of Mexico

On the predictive content of the PPI on CPI inflation: the case of Mexico On the redictive content of the PPI on inflation: the case of Mexico José Sidaoui, Carlos Caistrán, Daniel Chiquiar and Manuel Ramos-Francia 1 1. Introduction It would be natural to exect that shocks to

More information

MATH10040 Chapter 2: Prime and relatively prime numbers

MATH10040 Chapter 2: Prime and relatively prime numbers MATH10040 Chapter 2: Prime and relatively prime numbers Recall the basic definition: 1. Prime numbers Definition 1.1. Recall that a positive integer is said to be prime if it has precisely two positive

More information

Lecture 3: Finding integer solutions to systems of linear equations

Lecture 3: Finding integer solutions to systems of linear equations Lecture 3: Finding integer solutions to systems of linear equations Algorithmic Number Theory (Fall 2014) Rutgers University Swastik Kopparty Scribe: Abhishek Bhrushundi 1 Overview The goal of this lecture

More information

Lecture 21 and 22: The Prime Number Theorem

Lecture 21 and 22: The Prime Number Theorem Lecture and : The Prime Number Theorem (New lecture, not in Tet) The location of rime numbers is a central question in number theory. Around 88, Legendre offered eerimental evidence that the number π()

More information

CONTINUED FRACTIONS AND PELL S EQUATION. Contents 1. Continued Fractions 1 2. Solution to Pell s Equation 9 References 12

CONTINUED FRACTIONS AND PELL S EQUATION. Contents 1. Continued Fractions 1 2. Solution to Pell s Equation 9 References 12 CONTINUED FRACTIONS AND PELL S EQUATION SEUNG HYUN YANG Abstract. In this REU paper, I will use some important characteristics of continued fractions to give the complete set of solutions to Pell s equation.

More information

8 Primes and Modular Arithmetic

8 Primes and Modular Arithmetic 8 Primes and Modular Arithmetic 8.1 Primes and Factors Over two millennia ago already, people all over the world were considering the properties of numbers. One of the simplest concepts is prime numbers.

More information

PRIME FACTORS OF CONSECUTIVE INTEGERS

PRIME FACTORS OF CONSECUTIVE INTEGERS PRIME FACTORS OF CONSECUTIVE INTEGERS MARK BAUER AND MICHAEL A. BENNETT Abstract. This note contains a new algorithm for computing a function f(k) introduced by Erdős to measure the minimal gap size in

More information

Discrete Mathematics and Probability Theory Fall 2009 Satish Rao, David Tse Note 2

Discrete Mathematics and Probability Theory Fall 2009 Satish Rao, David Tse Note 2 CS 70 Discrete Mathematics and Probability Theory Fall 2009 Satish Rao, David Tse Note 2 Proofs Intuitively, the concept of proof should already be familiar We all like to assert things, and few of us

More information

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics Undergraduate Notes in Mathematics Arkansas Tech University Department of Mathematics An Introductory Single Variable Real Analysis: A Learning Approach through Problem Solving Marcel B. Finan c All Rights

More information

arxiv:math/0412079v2 [math.nt] 2 Mar 2006

arxiv:math/0412079v2 [math.nt] 2 Mar 2006 arxiv:math/0412079v2 [math.nt] 2 Mar 2006 Primes Generated by Recurrence Sequences Graham Everest, Shaun Stevens, Duncan Tamsett, and Tom Ward 1st February 2008 1 MERSENNE NUMBERS AND PRIMITIVE PRIME DIVISORS.

More information

Predicate Encryption Supporting Disjunctions, Polynomial Equations, and Inner Products

Predicate Encryption Supporting Disjunctions, Polynomial Equations, and Inner Products Predicate Encrytion Suorting Disjunctions, Polynomial Equations, and Inner Products Jonathan Katz Amit Sahai Brent Waters Abstract Predicate encrytion is a new aradigm for ublic-key encrytion that generalizes

More information

Effect Sizes Based on Means

Effect Sizes Based on Means CHAPTER 4 Effect Sizes Based on Means Introduction Raw (unstardized) mean difference D Stardized mean difference, d g Resonse ratios INTRODUCTION When the studies reort means stard deviations, the referred

More information

Every Positive Integer is the Sum of Four Squares! (and other exciting problems)

Every Positive Integer is the Sum of Four Squares! (and other exciting problems) Every Positive Integer is the Sum of Four Squares! (and other exciting problems) Sophex University of Texas at Austin October 18th, 00 Matilde N. Lalín 1. Lagrange s Theorem Theorem 1 Every positive integer

More information

A Second Course in Mathematics Concepts for Elementary Teachers: Theory, Problems, and Solutions

A Second Course in Mathematics Concepts for Elementary Teachers: Theory, Problems, and Solutions A Second Course in Mathematics Concepts for Elementary Teachers: Theory, Problems, and Solutions Marcel B. Finan Arkansas Tech University c All Rights Reserved First Draft February 8, 2006 1 Contents 25

More information

SQUARE GRID POINTS COVERAGED BY CONNECTED SOURCES WITH COVERAGE RADIUS OF ONE ON A TWO-DIMENSIONAL GRID

SQUARE GRID POINTS COVERAGED BY CONNECTED SOURCES WITH COVERAGE RADIUS OF ONE ON A TWO-DIMENSIONAL GRID International Journal of Comuter Science & Information Technology (IJCSIT) Vol 6, No 4, August 014 SQUARE GRID POINTS COVERAGED BY CONNECTED SOURCES WITH COVERAGE RADIUS OF ONE ON A TWO-DIMENSIONAL GRID

More information

U.C. Berkeley CS276: Cryptography Handout 0.1 Luca Trevisan January, 2009. Notes on Algebra

U.C. Berkeley CS276: Cryptography Handout 0.1 Luca Trevisan January, 2009. Notes on Algebra U.C. Berkeley CS276: Cryptography Handout 0.1 Luca Trevisan January, 2009 Notes on Algebra These notes contain as little theory as possible, and most results are stated without proof. Any introductory

More information

Integer roots of quadratic and cubic polynomials with integer coefficients

Integer roots of quadratic and cubic polynomials with integer coefficients Integer roots of quadratic and cubic polynomials with integer coefficients Konstantine Zelator Mathematics, Computer Science and Statistics 212 Ben Franklin Hall Bloomsburg University 400 East Second Street

More information

Lecture 13 - Basic Number Theory.

Lecture 13 - Basic Number Theory. Lecture 13 - Basic Number Theory. Boaz Barak March 22, 2010 Divisibility and primes Unless mentioned otherwise throughout this lecture all numbers are non-negative integers. We say that A divides B, denoted

More information

Real Roots of Univariate Polynomials with Real Coefficients

Real Roots of Univariate Polynomials with Real Coefficients Real Roots of Univariate Polynomials with Real Coefficients mostly written by Christina Hewitt March 22, 2012 1 Introduction Polynomial equations are used throughout mathematics. When solving polynomials

More information

HOMEWORK 5 SOLUTIONS. n!f n (1) lim. ln x n! + xn x. 1 = G n 1 (x). (2) k + 1 n. (n 1)!

HOMEWORK 5 SOLUTIONS. n!f n (1) lim. ln x n! + xn x. 1 = G n 1 (x). (2) k + 1 n. (n 1)! Math 7 Fall 205 HOMEWORK 5 SOLUTIONS Problem. 2008 B2 Let F 0 x = ln x. For n 0 and x > 0, let F n+ x = 0 F ntdt. Evaluate n!f n lim n ln n. By directly computing F n x for small n s, we obtain the following

More information

23. RATIONAL EXPONENTS

23. RATIONAL EXPONENTS 23. RATIONAL EXPONENTS renaming radicals rational numbers writing radicals with rational exponents When serious work needs to be done with radicals, they are usually changed to a name that uses exponents,

More information

Some Polynomial Theorems. John Kennedy Mathematics Department Santa Monica College 1900 Pico Blvd. Santa Monica, CA 90405 rkennedy@ix.netcom.

Some Polynomial Theorems. John Kennedy Mathematics Department Santa Monica College 1900 Pico Blvd. Santa Monica, CA 90405 rkennedy@ix.netcom. Some Polynomial Theorems by John Kennedy Mathematics Department Santa Monica College 1900 Pico Blvd. Santa Monica, CA 90405 rkennedy@ix.netcom.com This paper contains a collection of 31 theorems, lemmas,

More information

FACTORING POLYNOMIALS IN THE RING OF FORMAL POWER SERIES OVER Z

FACTORING POLYNOMIALS IN THE RING OF FORMAL POWER SERIES OVER Z FACTORING POLYNOMIALS IN THE RING OF FORMAL POWER SERIES OVER Z DANIEL BIRMAJER, JUAN B GIL, AND MICHAEL WEINER Abstract We consider polynomials with integer coefficients and discuss their factorization

More information

Assignment 9; Due Friday, March 17

Assignment 9; Due Friday, March 17 Assignment 9; Due Friday, March 17 24.4b: A icture of this set is shown below. Note that the set only contains oints on the lines; internal oints are missing. Below are choices for U and V. Notice that

More information

c 2009 Je rey A. Miron 3. Examples: Linear Demand Curves and Monopoly

c 2009 Je rey A. Miron 3. Examples: Linear Demand Curves and Monopoly Lecture 0: Monooly. c 009 Je rey A. Miron Outline. Introduction. Maximizing Pro ts. Examles: Linear Demand Curves and Monooly. The Ine ciency of Monooly. The Deadweight Loss of Monooly. Price Discrimination.

More information

Index Numbers OPTIONAL - II Mathematics for Commerce, Economics and Business INDEX NUMBERS

Index Numbers OPTIONAL - II Mathematics for Commerce, Economics and Business INDEX NUMBERS Index Numbers OPTIONAL - II 38 INDEX NUMBERS Of the imortant statistical devices and techniques, Index Numbers have today become one of the most widely used for judging the ulse of economy, although in

More information

Managing specific risk in property portfolios

Managing specific risk in property portfolios Managing secific risk in roerty ortfolios Andrew Baum, PhD University of Reading, UK Peter Struemell OPC, London, UK Contact author: Andrew Baum Deartment of Real Estate and Planning University of Reading

More information

Mathematical Induction

Mathematical Induction Mathematical Induction (Handout March 8, 01) The Principle of Mathematical Induction provides a means to prove infinitely many statements all at once The principle is logical rather than strictly mathematical,

More information

FACTORING BIVARIATE SPARSE (LACUNARY) POLYNOMIALS

FACTORING BIVARIATE SPARSE (LACUNARY) POLYNOMIALS FACTORING BIVARIATE SPARSE (LACUNARY) POLYNOMIALS Abstract. We resent a deterministic algorithm for comuting all irreducible factors of degree d of a given bivariate olynomial f K[x, y] over an algebraic

More information

PARAMETER CHOICE IN BANACH SPACE REGULARIZATION UNDER VARIATIONAL INEQUALITIES

PARAMETER CHOICE IN BANACH SPACE REGULARIZATION UNDER VARIATIONAL INEQUALITIES PARAMETER CHOICE IN BANACH SPACE REGULARIZATION UNDER VARIATIONAL INEQUALITIES BERND HOFMANN AND PETER MATHÉ Abstract. The authors study arameter choice strategies for Tikhonov regularization of nonlinear

More information

Multiperiod Portfolio Optimization with General Transaction Costs

Multiperiod Portfolio Optimization with General Transaction Costs Multieriod Portfolio Otimization with General Transaction Costs Victor DeMiguel Deartment of Management Science and Oerations, London Business School, London NW1 4SA, UK, avmiguel@london.edu Xiaoling Mei

More information

Math Workshop October 2010 Fractions and Repeating Decimals

Math Workshop October 2010 Fractions and Repeating Decimals Math Workshop October 2010 Fractions and Repeating Decimals This evening we will investigate the patterns that arise when converting fractions to decimals. As an example of what we will be looking at,

More information

The Fundamental Theorem of Arithmetic

The Fundamental Theorem of Arithmetic The Fundamental Theorem of Arithmetic 1 Introduction: Why this theorem? Why this proof? One of the purposes of this course 1 is to train you in the methods mathematicians use to prove mathematical statements,

More information

Pinhole Optics. OBJECTIVES To study the formation of an image without use of a lens.

Pinhole Optics. OBJECTIVES To study the formation of an image without use of a lens. Pinhole Otics Science, at bottom, is really anti-intellectual. It always distrusts ure reason and demands the roduction of the objective fact. H. L. Mencken (1880-1956) OBJECTIVES To study the formation

More information

EECS 122: Introduction to Communication Networks Homework 3 Solutions

EECS 122: Introduction to Communication Networks Homework 3 Solutions EECS 22: Introduction to Communication Networks Homework 3 Solutions Solution. a) We find out that one-layer subnetting does not work: indeed, 3 deartments need 5000 host addresses, so we need 3 bits (2

More information

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS Systems of Equations and Matrices Representation of a linear system The general system of m equations in n unknowns can be written a x + a 2 x 2 + + a n x n b a

More information

Measuring relative phase between two waveforms using an oscilloscope

Measuring relative phase between two waveforms using an oscilloscope Measuring relative hase between two waveforms using an oscilloscoe Overview There are a number of ways to measure the hase difference between two voltage waveforms using an oscilloscoe. This document covers

More information

Lies My Calculator and Computer Told Me

Lies My Calculator and Computer Told Me Lies My Calculator and Computer Told Me 2 LIES MY CALCULATOR AND COMPUTER TOLD ME Lies My Calculator and Computer Told Me See Section.4 for a discussion of graphing calculators and computers with graphing

More information

An important observation in supply chain management, known as the bullwhip effect,

An important observation in supply chain management, known as the bullwhip effect, Quantifying the Bullwhi Effect in a Simle Suly Chain: The Imact of Forecasting, Lead Times, and Information Frank Chen Zvi Drezner Jennifer K. Ryan David Simchi-Levi Decision Sciences Deartment, National

More information

We can express this in decimal notation (in contrast to the underline notation we have been using) as follows: 9081 + 900b + 90c = 9001 + 100c + 10b

We can express this in decimal notation (in contrast to the underline notation we have been using) as follows: 9081 + 900b + 90c = 9001 + 100c + 10b In this session, we ll learn how to solve problems related to place value. This is one of the fundamental concepts in arithmetic, something every elementary and middle school mathematics teacher should

More information

MATH 4330/5330, Fourier Analysis Section 11, The Discrete Fourier Transform

MATH 4330/5330, Fourier Analysis Section 11, The Discrete Fourier Transform MATH 433/533, Fourier Analysis Section 11, The Discrete Fourier Transform Now, instead of considering functions defined on a continuous domain, like the interval [, 1) or the whole real line R, we wish

More information

Core Maths C1. Revision Notes

Core Maths C1. Revision Notes Core Maths C Revision Notes November 0 Core Maths C Algebra... Indices... Rules of indices... Surds... 4 Simplifying surds... 4 Rationalising the denominator... 4 Quadratic functions... 4 Completing the

More information

k, then n = p2α 1 1 pα k

k, then n = p2α 1 1 pα k Powers of Integers An integer n is a perfect square if n = m for some integer m. Taking into account the prime factorization, if m = p α 1 1 pα k k, then n = pα 1 1 p α k k. That is, n is a perfect square

More information

Two classic theorems from number theory: The Prime Number Theorem and Dirichlet s Theorem

Two classic theorems from number theory: The Prime Number Theorem and Dirichlet s Theorem Two classic theorems from number theory: The Prime Number Theorem and Dirichlet s Theorem Senior Exercise in Mathematics Lee Kennard 5 November, 2006 Contents 0 Notes and Notation 3 Introduction 4 2 Primes

More information

Large Sample Theory. Consider a sequence of random variables Z 1, Z 2,..., Z n. Convergence in probability: Z n

Large Sample Theory. Consider a sequence of random variables Z 1, Z 2,..., Z n. Convergence in probability: Z n Large Samle Theory In statistics, we are interested in the roerties of articular random variables (or estimators ), which are functions of our data. In ymtotic analysis, we focus on describing the roerties

More information

X How to Schedule a Cascade in an Arbitrary Graph

X How to Schedule a Cascade in an Arbitrary Graph X How to Schedule a Cascade in an Arbitrary Grah Flavio Chierichetti, Cornell University Jon Kleinberg, Cornell University Alessandro Panconesi, Saienza University When individuals in a social network

More information

SOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 3. Spaces with special properties

SOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 3. Spaces with special properties SOLUTIONS TO EXERCISES FOR MATHEMATICS 205A Part 3 Fall 2008 III. Spaces with special properties III.1 : Compact spaces I Problems from Munkres, 26, pp. 170 172 3. Show that a finite union of compact subspaces

More information

Set theory as a foundation for mathematics

Set theory as a foundation for mathematics V I I I : Set theory as a foundation for mathematics This material is basically supplementary, and it was not covered in the course. In the first section we discuss the basic axioms of set theory and the

More information

9.2 Summation Notation

9.2 Summation Notation 9. Summation Notation 66 9. Summation Notation In the previous section, we introduced sequences and now we shall present notation and theorems concerning the sum of terms of a sequence. We begin with a

More information

This unit will lay the groundwork for later units where the students will extend this knowledge to quadratic and exponential functions.

This unit will lay the groundwork for later units where the students will extend this knowledge to quadratic and exponential functions. Algebra I Overview View unit yearlong overview here Many of the concepts presented in Algebra I are progressions of concepts that were introduced in grades 6 through 8. The content presented in this course

More information

Section 1.3 P 1 = 1 2. = 1 4 2 8. P n = 1 P 3 = Continuing in this fashion, it should seem reasonable that, for any n = 1, 2, 3,..., = 1 2 4.

Section 1.3 P 1 = 1 2. = 1 4 2 8. P n = 1 P 3 = Continuing in this fashion, it should seem reasonable that, for any n = 1, 2, 3,..., = 1 2 4. Difference Equations to Differential Equations Section. The Sum of a Sequence This section considers the problem of adding together the terms of a sequence. Of course, this is a problem only if more than

More information

On Multicast Capacity and Delay in Cognitive Radio Mobile Ad-hoc Networks

On Multicast Capacity and Delay in Cognitive Radio Mobile Ad-hoc Networks On Multicast Caacity and Delay in Cognitive Radio Mobile Ad-hoc Networks Jinbei Zhang, Yixuan Li, Zhuotao Liu, Fan Wu, Feng Yang, Xinbing Wang Det of Electronic Engineering Det of Comuter Science and Engineering

More information

CS 103X: Discrete Structures Homework Assignment 3 Solutions

CS 103X: Discrete Structures Homework Assignment 3 Solutions CS 103X: Discrete Structures Homework Assignment 3 s Exercise 1 (20 points). On well-ordering and induction: (a) Prove the induction principle from the well-ordering principle. (b) Prove the well-ordering

More information

CONTINUED FRACTIONS AND FACTORING. Niels Lauritzen

CONTINUED FRACTIONS AND FACTORING. Niels Lauritzen CONTINUED FRACTIONS AND FACTORING Niels Lauritzen ii NIELS LAURITZEN DEPARTMENT OF MATHEMATICAL SCIENCES UNIVERSITY OF AARHUS, DENMARK EMAIL: niels@imf.au.dk URL: http://home.imf.au.dk/niels/ Contents

More information

Risk in Revenue Management and Dynamic Pricing

Risk in Revenue Management and Dynamic Pricing OPERATIONS RESEARCH Vol. 56, No. 2, March Aril 2008,. 326 343 issn 0030-364X eissn 1526-5463 08 5602 0326 informs doi 10.1287/ore.1070.0438 2008 INFORMS Risk in Revenue Management and Dynamic Pricing Yuri

More information

Stanford Math Circle: Sunday, May 9, 2010 Square-Triangular Numbers, Pell s Equation, and Continued Fractions

Stanford Math Circle: Sunday, May 9, 2010 Square-Triangular Numbers, Pell s Equation, and Continued Fractions Stanford Math Circle: Sunday, May 9, 00 Square-Triangular Numbers, Pell s Equation, and Continued Fractions Recall that triangular numbers are numbers of the form T m = numbers that can be arranged in

More information