a b a In case b 0, a being divisible by b is the same as to say that
|
|
- Sherilyn Hope Goodman
- 5 years ago
- Views:
Transcription
1 Secton 6.2 Dvsblty among the ntegers An nteger a ε s dvsble by b ε f there s an nteger c ε such that a = bc. Note that s dvsble by any nteger b, snce = b. On the other hand, a s dvsble by only f a = : from a = c t follows that a =. The symbolc way of wrtng " a s dvsble by b " s: b a. Instead of " a s dvsble by b " we also say that " b dvdes a ", or that " b s a dvsor of a ", or " a s a multple of b ". Note the obvous Transtvty law for dvsblty: a b and b c a c. In case b, a beng dvsble by b s the same as to say that a b s an nteger; we cannot say ths, however, f b =, snce a s meanngless. In partcular, f b a, then ether a=, or else b a ; n other words, for postve ntegers a and b such that a<b, b a s mpossble (snce then < a <1, and a b b cannot be an nteger). As far as dvsblty s concerned, any nteger a and ts negatve -a behave n the same way: b a ff b -a ff -b a. Therefore, e.g., when we want to account for all the dvsors of an nteger, we may restrct our search to the non-negatve numbers. Always, a a and a -a. Moreover, f both a a and a a hold, then ether a = a or a = -a. In what follows, varables a, b,... range over stated., the set of all ntegers, unless otherwse Gven any a and b such that b >, we may dvde a by b wth a remander: we can fnd q and r such that a = qb + r, r < b. (1) E.g., wth a = 17, b = 5, we have q = 3 and r = 2 : 19
2 17 = , 2 < 5. In (1), q s the quotent, r s remander when a s dvded by b. The remander beng equal to sgnfes, of course, that b dvdes a, b a. To prove the exstence of the quotent/remander representaton, frst let us assume that a. The set X of all non-negatve multples of b that are less than or equal to a s nonempty ( X ), and bounded by a ; thus, by the Greatest Number Prncple (see the last secton), t has a maxmal element, say qb. Thus we have that qb X but (q+1)b X (snce b, qb<(q+1)b ). Ths means that qb a<(q+1)b. It follows that for r=a-qb, we have the relatons n (1). For the case when a<, we wrte -a = qb+r by what we already know; from ths, a = (-q-1)b+(b-r) s the desred decomposton. The common dvsors of a and b are those ntegers that dvde both a and b. Wth any ntegers a and b, a(n nteger) lnear combnaton of a and b s any nteger of the form xa + yb, wth x and y also ntegers (although we usually say "lnear combnaton" wthout the qualfcaton "nteger", we nsst that the coeffcents should also be ntegers!). Note that a and b : any lnear combnaton of lnear combnatons of a and b s a lnear combnaton of f c = xa + yb, d = ua + vb and e = sc + td, then e = s(xa + yb) + t(ua + vb) = (sx + tu)a + (sy + tv)b. Also note that 191
3 any common dvsor of a and b s a dvsor of any lnear combnaton of a and b : f c a, c b, that s a = uc, b = vc, then xa + yb = xuc + yvc = (xu + yv)c. Now, f a = qb + r, (2) then a s a lnear combnaton of b and r (snce a = qb + 1 r ) and also, snce r = a - qb = 1 a + (-q)b, r s a lnear combnaton of a and b. We may conclude that are the same. under (2), the common dvsors of a and b, and the common dvsors of b and r c s a greatest common dvsor (gcd) of a and b f t s a common dvsor of a and b, and a multple of every common dvsor of a and b at the same tme; n other words, c a and c b and for all d such that d a and d b, we have d c. Another way of puttng the defnng property of c s to say the common dvsors of a and b are the same as the dvsors of (the sngle) c : for any d, d a and d b d c. Note that t s not clear, at ths pont, that any par of numbers a and b has a gcd; we wll 192
4 prove ths soon. However, one thng s pretty clear, namely that the gcd, f t exsts, s essentally unque: f both c and c are gcd's of a and b, then c = c or c = -c ; the reason s that, from the defnton t follows that both c c and c c hold. To make the gcd completely unque, we agree that gcd(a, b) should denote the non-negatve one of the two possble values. A remark on the name "greatest common dvsor". Assume that both a and b are postve (the only "nterestng" case for gcd(a, b) ). Then c=gcd(a, b) s certanly the greatest one among the common dvsors of a and b, snce t s postve, and t dvdes all of them. One mght then say that t s obvous that there s a greatest one among these common dvsors, as there s always a greatest one among fntely many ntegers. However, f we denote ths greatest of the common dvsors by c, t s not clear that for every common dvsor d of a and b we have d c as requred n the defnton of "gcd"; we only have that d c, whch, of course, s not enough for d c. It s mportant to realze that the defnton of "greatest common dvsor" mposes a stronger condton than t appears from the wordng of the concept. These remarks explan why, to prove the exstence of the gcd, we have to go through the consderably more sophstcated argument than just sayng "take the largest of the common dvsors". The argument that follows s not only one of the most mportant ones n all of mathematcs, but t s also one of earlest ones: t appears n Eucld's "Elements", the classc ancent Greek treatse on mathematcs. Note that f b a, then gcd(a, b) = b ; hence, gcd(, b) = b. For the proof of the exstence of the gcd, the frst remark s that f a = qb + r, then gcd(a, b) = gcd(b, r), (3) meanng that f one gcd exsts, so does the other, and they are equal. The reason s that, n ths case, the common dvsors of the par (a, b) and those of (b, r) are the same, as we noted above. Let a and b be arbtrarly gven ntegers; we want to compute gcd(a, b). We may 193
5 assume that b > ; f b =, then gcd(a, ) = a as sad above, and f b <, we may pass to -b : gcd(a, b) = gcd(a, -b). Now, assumng b>, we can defne, by recurson, the sequence by a, a, a,, a, a (3') 1 2 n n+1 a = a def a 1 = b def and for any, f we have already defned a and a, +1 and f a s greater than, (3") +1 a s defned as the remander of a dvded by a. In other words, the relatons a = q a + a, a < a (4) hold wth sutable q. When a =, we stop, that s, we do not defne a, and we put n = ; thus, the sequence (3') wll have been defned. Snce the a s are strctly decreasng after = 1 (see the second relaton n (4)), by the "prncple of the mpossblty of nfnte descent" (see the last secton), we must reach a stage +1 when a +2 s no longer defned, that s, the condton (3") fals, that s, a +1 =. Denote ths by n. Therefore, snce a n+1 =, we have by (4), for =n-1, that a = q a. (5) n-1 n-1 n Now, snce a n s a dvsor of a n-1, gcd(a n-1, a n ) = a n. The frst relaton n (4) tells us that gcd(a, a ) = gcd(a, a ) ( +2 n ) (see (3)). Thus, we have that 194
6 gcd(a, b) = gcd(a, a ) = gcd(a, a ) =... = gcd(a, a ) = a n-1 n n We have shown that gcd(a, b) exsts, and n fact, have shown how to compute t. We can summarze the procedure ths way: we construct the sequence the frst two terms of whch are the gven numbers, and n whch every term s the remander when the prevous term dvdes the term precedng t. The constructon termnates when s reached; the term prevous to the zero term s the desred gcd. E.g., let a = 3293, b = 417. Then 3293 = , 417 = , 3293 = , 814 = That s, n ths case, n = 3, a = 814 and a = 37, and gcd(3293, 417) = The procedure descrbed s called the Eucldean algorthm. It was known to the ancent Greeks; t appears n Eucld's "Elements". An mportant fact about t s that t s an effcent algorthm; for relatvely large numbers, t termnates qute fast. Besdes a way of computng the gcd, the Eucldean algorthm also gves us an mportant theoretcal concluson: the gcd of any two numbers a and b s a lnear combnaton of a and b. To see ths, we prove by nducton on n that a s a lnear combnaton of a and b. For = and = 1, ths s certanly true: a = 1 a + b and b = a + 1 b. 195
7 Assumng the result for all ndces less than +2, we have that a = a - q a (6) that s, a s a lnear combnaton of a and a. Snce, by the nducton hypothess, a and a are lnear combnatons of a and b, t follows that a s a lnear combnaton of a and b as desred. In the example, 37 = , 814 = , hence, gcd(417, 3293) = 37 = ( ) = (-4) A prme number s any nteger p whch s not a unt, that s, not 1 or -1, but whch s not dvsble by any number other than 1, -1, p and -p. Clearly, p s prme ff -p s prme; therefore, t s customary to restrct attenton to postve prmes; n what follows, by "prme number" we always mean a postve prme. Restated, p s prme f p > 1, and the only postve dvsors of p are 1 and p. A fundamental property of prmes s ths: f p s a prme, and p ab, then ether p a, or p b (or both). Indeed, assume also that p does not dvde a, to show that p b. Then gcd(p, a) = 1, snce gcd(p, a) s a dvsor of p, therefore t cannot be anythng else but 1 or p, and t cannot be p, snce then p would dvde a. Snce gcd(p, a) s a lnear combnaton of p and a, 196
8 1 = xp + ya for sutable ntegers x and y. Multplyng ths equalty wth b, we get b = xbp + yab. Snce, by assumpton, ab s dvsble by p, ab = zp for a sutable z, we have b = (xb + yz)p, that s, b s dvsble by p, whch s what we wanted to show. An obvous generalzaton of the last fact s ths: f p s a prme, and p a, then p a for at least one < k. <k We clam: Every non-zero, non-unt nteger has at least one prme dvsor. Let a be any nteger, a 1, a -1. We may assume that a > 1. The set X of all dvsors of a that are greater than 1 s a non-empty set; a tself s an element of t. By the LNP, let p be the least element of X. p must be prme; otherwse, there would be a dvsor x of p whch s greater than 1 but less than p ; x would be a non-unt dvsor of a smaller than p, contrary to the choce of p. Ths proves the clam. There are many prme numbers; n fact, there are nfntely many: 197
9 for any n ε, there s a prme number greater than n. Indeed, consder the number n! + 1, and let p be a prme dvsor of ths number. p cannot be n, snce then p would be a dvsor of n!, and hence also a dvsor of (n! + 1) - n! = 1, whch s absurd snce p s not a unt. p s a prme number greater than n. Next, we see that Every non-zero number s the product of prme numbers. Let n be any postve nteger. If n = 1, n s the empty product of prme numbers. We treat the general case by nducton, more precsely, by the WOP. Let n > 1. We know that n has at least one prme dvsor; let p one such; let m = n p. Snce m < n, we may apply the nducton hypothess, and have that m s the product of prme numbers, m = p. But then, n = m p, and n = ( p ) p, and n s also a product of prmes. <k <k Let us use the notaton p for the +1 st prme; see the end of the last secton. Wth the fxed meanng of the p, we may wrte every postve n n the form α n = p (7) <k wth sutable natural exponents α. Indeed, we know that n s the product of a certan number of prme factors; by brngng together the equal factors nto powers, and usng the exponent n case a specfc p E.g., does not occur n the product, we get the form mentoned = = = ; 198
10 now, we can take k = 5. Note that, n (7), k s not unque: t can be taken any number greater than the last for whch α ; for all j, <j<k, we can then take α j =. Ths s useful, snce when we have two (or more) numbers as n, we can choose the k for the two to be the same. We have: Prme factorzaton s unque: α f n = p = p, (8) <k <k then α = for all < k. The proof s by nducton on n (va the WOP). If n = 1, t s clear that α = = for all < k. Otherwse, for some < k, say, we have that α 1 ; let p = p. p dvdes n = p, and snce p s prme, p dvdes at least one p. But f, <k p does not dvde p (why?). Thus, p must dvde p, whch mples that 1. Now, dvdng (8) by the factor p, we get α m = p = p def <k <k where α = α for, α = α -1, and smlarly for the. Clearly, m < n. By the nducton hypothess, prme factorzaton for m s unque; hence, α = for all < k. Ths means that α = for all, and α = α +1 = +1 =, that s, α = for all < k, as desred. 199
11 In terms of prme factorzaton, dvsblty may be characterzed as follows: α f n = p, m = p, then n m ff α for all < k. <k <k γ The reason s smple: f n m, then m = n for some ; hence, f = p (wth <k possbly a greater k ; extend the range of the α's and 's by nsertng 's), we have that α γ α +γ m = p p = p. <k <k <k By the unqueness of prme factorzaton, = α +γ ; and snce each γ, we get that α as clamed. 2
Example: (13320, 22140) =? Solution #1: The divisors of are 1, 2, 3, 4, 5, 6, 9, 10, 12, 15, 18, 20, 27, 30, 36, 41,
The greatest common dvsor of two ntegers a and b (not both zero) s the largest nteger whch s a common factor of both a and b. We denote ths number by gcd(a, b), or smply (a, b) when there s no confuson
More informationFoundations of Arithmetic
Foundatons of Arthmetc Notaton We shall denote the sum and product of numbers n the usual notaton as a 2 + a 2 + a 3 + + a = a, a 1 a 2 a 3 a = a The notaton a b means a dvdes b,.e. ac = b where c s an
More informationMath 261 Exercise sheet 2
Math 261 Exercse sheet 2 http://staff.aub.edu.lb/~nm116/teachng/2017/math261/ndex.html Verson: September 25, 2017 Answers are due for Monday 25 September, 11AM. The use of calculators s allowed. Exercse
More informationTHE CHINESE REMAINDER THEOREM. We should thank the Chinese for their wonderful remainder theorem. Glenn Stevens
THE CHINESE REMAINDER THEOREM KEITH CONRAD We should thank the Chnese for ther wonderful remander theorem. Glenn Stevens 1. Introducton The Chnese remander theorem says we can unquely solve any par of
More information28 Finitely Generated Abelian Groups
8 Fntely Generated Abelan Groups In ths last paragraph of Chapter, we determne the structure of fntely generated abelan groups A complete classfcaton of such groups s gven Complete classfcaton theorems
More informationProblem Solving in Math (Math 43900) Fall 2013
Problem Solvng n Math (Math 43900) Fall 2013 Week four (September 17) solutons Instructor: Davd Galvn 1. Let a and b be two nteger for whch a b s dvsble by 3. Prove that a 3 b 3 s dvsble by 9. Soluton:
More informationand problem sheet 2
-8 and 5-5 problem sheet Solutons to the followng seven exercses and optonal bonus problem are to be submtted through gradescope by :0PM on Wednesday th September 08. There are also some practce problems,
More informationFINITELY-GENERATED MODULES OVER A PRINCIPAL IDEAL DOMAIN
FINITELY-GENERTED MODULES OVER PRINCIPL IDEL DOMIN EMMNUEL KOWLSKI Throughout ths note, s a prncpal deal doman. We recall the classfcaton theorem: Theorem 1. Let M be a fntely-generated -module. (1) There
More informationLectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix
Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could
More informationPolynomials. 1 What is a polynomial? John Stalker
Polynomals John Stalker What s a polynomal? If you thnk you already know what a polynomal s then skp ths secton. Just be aware that I consstently wrte thngs lke p = c z j =0 nstead of p(z) = c z. =0 You
More informationFirst day August 1, Problems and Solutions
FOURTH INTERNATIONAL COMPETITION FOR UNIVERSITY STUDENTS IN MATHEMATICS July 30 August 4, 997, Plovdv, BULGARIA Frst day August, 997 Problems and Solutons Problem. Let {ε n } n= be a sequence of postve
More informationDifference Equations
Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1
More informationPRIMES 2015 reading project: Problem set #3
PRIMES 2015 readng project: Problem set #3 page 1 PRIMES 2015 readng project: Problem set #3 posted 31 May 2015, to be submtted around 15 June 2015 Darj Grnberg The purpose of ths problem set s to replace
More informationSome Consequences. Example of Extended Euclidean Algorithm. The Fundamental Theorem of Arithmetic, II. Characterizing the GCD and LCM
Example of Extended Eucldean Algorthm Recall that gcd(84, 33) = gcd(33, 18) = gcd(18, 15) = gcd(15, 3) = gcd(3, 0) = 3 We work backwards to wrte 3 as a lnear combnaton of 84 and 33: 3 = 18 15 [Now 3 s
More information18.781: Solution to Practice Questions for Final Exam
18.781: Soluton to Practce Questons for Fnal Exam 1. Fnd three solutons n postve ntegers of x 6y = 1 by frst calculatng the contnued fracton expanson of 6. Soluton: We have 1 6=[, ] 6 6+ =[, ] 1 =[,, ]=[,,
More informationMATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS
MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS These are nformal notes whch cover some of the materal whch s not n the course book. The man purpose s to gve a number of nontrval examples
More informationREDUCTION MODULO p. We will prove the reduction modulo p theorem in the general form as given by exercise 4.12, p. 143, of [1].
REDUCTION MODULO p. IAN KIMING We wll prove the reducton modulo p theorem n the general form as gven by exercse 4.12, p. 143, of [1]. We consder an ellptc curve E defned over Q and gven by a Weerstraß
More informationAffine transformations and convexity
Affne transformatons and convexty The purpose of ths document s to prove some basc propertes of affne transformatons nvolvng convex sets. Here are a few onlne references for background nformaton: http://math.ucr.edu/
More information2.3 Nilpotent endomorphisms
s a block dagonal matrx, wth A Mat dm U (C) In fact, we can assume that B = B 1 B k, wth B an ordered bass of U, and that A = [f U ] B, where f U : U U s the restrcton of f to U 40 23 Nlpotent endomorphsms
More informationLECTURE V. 1. More on the Chinese Remainder Theorem We begin by recalling this theorem, proven in the preceeding lecture.
LECTURE V EDWIN SPARK 1. More on the Chnese Remander Theorem We begn by recallng ths theorem, proven n the preceedng lecture. Theorem 1.1 (Chnese Remander Theorem). Let R be a rng wth deals I 1, I 2,...,
More information3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X
Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number
More informationPolynomials. 1 More properties of polynomials
Polynomals 1 More propertes of polynomals Recall that, for R a commutatve rng wth unty (as wth all rngs n ths course unless otherwse noted), we defne R[x] to be the set of expressons n =0 a x, where a
More informationprinceton univ. F 17 cos 521: Advanced Algorithm Design Lecture 7: LP Duality Lecturer: Matt Weinberg
prnceton unv. F 17 cos 521: Advanced Algorthm Desgn Lecture 7: LP Dualty Lecturer: Matt Wenberg Scrbe: LP Dualty s an extremely useful tool for analyzng structural propertes of lnear programs. Whle there
More informationOn quasiperfect numbers
Notes on Number Theory and Dscrete Mathematcs Prnt ISSN 1310 5132, Onlne ISSN 2367 8275 Vol. 23, 2017, No. 3, 73 78 On quasperfect numbers V. Sva Rama Prasad 1 and C. Suntha 2 1 Nalla Malla Reddy Engneerng
More informationFACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP
C O L L O Q U I U M M A T H E M A T I C U M VOL. 80 1999 NO. 1 FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP BY FLORIAN K A I N R A T H (GRAZ) Abstract. Let H be a Krull monod wth nfnte class
More informationDIFFERENTIAL FORMS BRIAN OSSERMAN
DIFFERENTIAL FORMS BRIAN OSSERMAN Dfferentals are an mportant topc n algebrac geometry, allowng the use of some classcal geometrc arguments n the context of varetes over any feld. We wll use them to defne
More informationWeek 2. This week, we covered operations on sets and cardinality.
Week 2 Ths week, we covered operatons on sets and cardnalty. Defnton 0.1 (Correspondence). A correspondence between two sets A and B s a set S contaned n A B = {(a, b) a A, b B}. A correspondence from
More informationAPPENDIX A Some Linear Algebra
APPENDIX A Some Lnear Algebra The collecton of m, n matrces A.1 Matrces a 1,1,..., a 1,n A = a m,1,..., a m,n wth real elements a,j s denoted by R m,n. If n = 1 then A s called a column vector. Smlarly,
More informationFinding Primitive Roots Pseudo-Deterministically
Electronc Colloquum on Computatonal Complexty, Report No 207 (205) Fndng Prmtve Roots Pseudo-Determnstcally Ofer Grossman December 22, 205 Abstract Pseudo-determnstc algorthms are randomzed search algorthms
More informationk(k 1)(k 2)(p 2) 6(p d.
BLOCK-TRANSITIVE 3-DESIGNS WITH AFFINE AUTOMORPHISM GROUP Greg Gamble Let X = (Z p d where p s an odd prme and d N, and let B X, B = k. Then t was shown by Praeger that the set B = {B g g AGL d (p} s the
More informationLinear, affine, and convex sets and hulls In the sequel, unless otherwise specified, X will denote a real vector space.
Lnear, affne, and convex sets and hulls In the sequel, unless otherwse specfed, X wll denote a real vector space. Lnes and segments. Gven two ponts x, y X, we defne xy = {x + t(y x) : t R} = {(1 t)x +
More informationTHERE ARE NO POINTS OF ORDER 11 ON ELLIPTIC CURVES OVER Q.
THERE ARE NO POINTS OF ORDER 11 ON ELLIPTIC CURVES OVER Q. IAN KIMING We shall prove the followng result from [2]: Theorem 1. (Bllng-Mahler, 1940, cf. [2]) An ellptc curve defned over Q does not have a
More informationExercise Solutions to Real Analysis
xercse Solutons to Real Analyss Note: References refer to H. L. Royden, Real Analyss xersze 1. Gven any set A any ɛ > 0, there s an open set O such that A O m O m A + ɛ. Soluton 1. If m A =, then there
More informationInner Product. Euclidean Space. Orthonormal Basis. Orthogonal
Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,
More informationALGEBRA HW 7 CLAY SHONKWILER
ALGEBRA HW 7 CLAY SHONKWILER 1 Whch of the followng rngs R are dscrete valuaton rngs? For those that are, fnd the fracton feld K = frac R, the resdue feld k = R/m (where m) s the maxmal deal), and a unformzer
More informationSection 3.6 Complex Zeros
04 Chapter Secton 6 Comple Zeros When fndng the zeros of polynomals, at some pont you're faced wth the problem Whle there are clearly no real numbers that are solutons to ths equaton, leavng thngs there
More informationHMMT February 2016 February 20, 2016
HMMT February 016 February 0, 016 Combnatorcs 1. For postve ntegers n, let S n be the set of ntegers x such that n dstnct lnes, no three concurrent, can dvde a plane nto x regons (for example, S = {3,
More informationCOMPLEX NUMBERS AND QUADRATIC EQUATIONS
COMPLEX NUMBERS AND QUADRATIC EQUATIONS INTRODUCTION We know that x 0 for all x R e the square of a real number (whether postve, negatve or ero) s non-negatve Hence the equatons x, x, x + 7 0 etc are not
More informationn α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0
MODULE 2 Topcs: Lnear ndependence, bass and dmenson We have seen that f n a set of vectors one vector s a lnear combnaton of the remanng vectors n the set then the span of the set s unchanged f that vector
More informationA combinatorial problem associated with nonograms
A combnatoral problem assocated wth nonograms Jessca Benton Ron Snow Nolan Wallach March 21, 2005 1 Introducton. Ths work was motvated by a queston posed by the second named author to the frst named author
More informationMore metrics on cartesian products
More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of
More informationExpected Value and Variance
MATH 38 Expected Value and Varance Dr. Neal, WKU We now shall dscuss how to fnd the average and standard devaton of a random varable X. Expected Value Defnton. The expected value (or average value, or
More informationStructure and Drive Paul A. Jensen Copyright July 20, 2003
Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.
More informationOn the irreducibility of a truncated binomial expansion
On the rreducblty of a truncated bnomal expanson by Mchael Flaseta, Angel Kumchev and Dmtr V. Pasechnk 1 Introducton For postve ntegers k and n wth k n 1, defne P n,k (x = =0 ( n x. In the case that k
More informationDISCRIMINANTS AND RAMIFIED PRIMES. 1. Introduction A prime number p is said to be ramified in a number field K if the prime ideal factorization
DISCRIMINANTS AND RAMIFIED PRIMES KEITH CONRAD 1. Introducton A prme number p s sad to be ramfed n a number feld K f the prme deal factorzaton (1.1) (p) = po K = p e 1 1 peg g has some e greater than 1.
More informationComplete subgraphs in multipartite graphs
Complete subgraphs n multpartte graphs FLORIAN PFENDER Unverstät Rostock, Insttut für Mathematk D-18057 Rostock, Germany Floran.Pfender@un-rostock.de Abstract Turán s Theorem states that every graph G
More informationCharacterizing the properties of specific binomial coefficients in congruence relations
Eastern Mchgan Unversty DgtalCommons@EMU Master's Theses and Doctoral Dssertatons Master's Theses, and Doctoral Dssertatons, and Graduate Capstone Projects 7-15-2015 Characterzng the propertes of specfc
More information5 The Rational Canonical Form
5 The Ratonal Canoncal Form Here p s a monc rreducble factor of the mnmum polynomal m T and s not necessarly of degree one Let F p denote the feld constructed earler n the course, consstng of all matrces
More informationExercises. 18 Algorithms
18 Algorthms Exercses 0.1. In each of the followng stuatons, ndcate whether f = O(g), or f = Ω(g), or both (n whch case f = Θ(g)). f(n) g(n) (a) n 100 n 200 (b) n 1/2 n 2/3 (c) 100n + log n n + (log n)
More informationThe internal structure of natural numbers and one method for the definition of large prime numbers
The nternal structure of natural numbers and one method for the defnton of large prme numbers Emmanul Manousos APM Insttute for the Advancement of Physcs and Mathematcs 3 Poulou str. 53 Athens Greece Abstract
More informationNo-three-in-line problem on a torus: periodicity
arxv:1901.09012v1 [cs.dm] 25 Jan 2019 No-three-n-lne problem on a torus: perodcty Mchael Skotnca skotnca@kam.mff.cun.cz Abstract Let τ m,n denote the maxmal number of ponts on the dscrete torus (dscrete
More informationSociété de Calcul Mathématique SA
Socété de Calcul Mathématque SA Outls d'ade à la décson Tools for decson help Probablstc Studes: Normalzng the Hstograms Bernard Beauzamy December, 202 I. General constructon of the hstogram Any probablstc
More informationSection 8.3 Polar Form of Complex Numbers
80 Chapter 8 Secton 8 Polar Form of Complex Numbers From prevous classes, you may have encountered magnary numbers the square roots of negatve numbers and, more generally, complex numbers whch are the
More informationChristian Aebi Collège Calvin, Geneva, Switzerland
#A7 INTEGERS 12 (2012) A PROPERTY OF TWIN PRIMES Chrstan Aeb Collège Calvn, Geneva, Swtzerland chrstan.aeb@edu.ge.ch Grant Carns Department of Mathematcs, La Trobe Unversty, Melbourne, Australa G.Carns@latrobe.edu.au
More informationChapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems
Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons
More informationDONALD M. DAVIS. 1. Main result
v 1 -PERIODIC 2-EXPONENTS OF SU(2 e ) AND SU(2 e + 1) DONALD M. DAVIS Abstract. We determne precsely the largest v 1 -perodc homotopy groups of SU(2 e ) and SU(2 e +1). Ths gves new results about the largest
More information12 MATH 101A: ALGEBRA I, PART C: MULTILINEAR ALGEBRA. 4. Tensor product
12 MATH 101A: ALGEBRA I, PART C: MULTILINEAR ALGEBRA Here s an outlne of what I dd: (1) categorcal defnton (2) constructon (3) lst of basc propertes (4) dstrbutve property (5) rght exactness (6) localzaton
More informationErrors for Linear Systems
Errors for Lnear Systems When we solve a lnear system Ax b we often do not know A and b exactly, but have only approxmatons  and ˆb avalable. Then the best thng we can do s to solve ˆx ˆb exactly whch
More informationfind (x): given element x, return the canonical element of the set containing x;
COS 43 Sprng, 009 Dsjont Set Unon Problem: Mantan a collecton of dsjont sets. Two operatons: fnd the set contanng a gven element; unte two sets nto one (destructvely). Approach: Canoncal element method:
More informationLinear Approximation with Regularization and Moving Least Squares
Lnear Approxmaton wth Regularzaton and Movng Least Squares Igor Grešovn May 007 Revson 4.6 (Revson : March 004). 5 4 3 0.5 3 3.5 4 Contents: Lnear Fttng...4. Weghted Least Squares n Functon Approxmaton...
More informationLearning Theory: Lecture Notes
Learnng Theory: Lecture Notes Lecturer: Kamalka Chaudhur Scrbe: Qush Wang October 27, 2012 1 The Agnostc PAC Model Recall that one of the constrants of the PAC model s that the data dstrbuton has to be
More informationMin Cut, Fast Cut, Polynomial Identities
Randomzed Algorthms, Summer 016 Mn Cut, Fast Cut, Polynomal Identtes Instructor: Thomas Kesselhem and Kurt Mehlhorn 1 Mn Cuts n Graphs Lecture (5 pages) Throughout ths secton, G = (V, E) s a mult-graph.
More informationSupplement: Proofs and Technical Details for The Solution Path of the Generalized Lasso
Supplement: Proofs and Techncal Detals for The Soluton Path of the Generalzed Lasso Ryan J. Tbshran Jonathan Taylor In ths document we gve supplementary detals to the paper The Soluton Path of the Generalzed
More informationThe Ramanujan-Nagell Theorem: Understanding the Proof By Spencer De Chenne
The Ramanujan-Nagell Theorem: Understandng the Proof By Spencer De Chenne 1 Introducton The Ramanujan-Nagell Theorem, frst proposed as a conjecture by Srnvasa Ramanujan n 1943 and later proven by Trygve
More informationarxiv: v6 [math.nt] 23 Aug 2016
A NOTE ON ODD PERFECT NUMBERS JOSE ARNALDO B. DRIS AND FLORIAN LUCA arxv:03.437v6 [math.nt] 23 Aug 206 Abstract. In ths note, we show that f N s an odd perfect number and q α s some prme power exactly
More informationAdditional Codes using Finite Difference Method. 1 HJB Equation for Consumption-Saving Problem Without Uncertainty
Addtonal Codes usng Fnte Dfference Method Benamn Moll 1 HJB Equaton for Consumpton-Savng Problem Wthout Uncertanty Before consderng the case wth stochastc ncome n http://www.prnceton.edu/~moll/ HACTproect/HACT_Numercal_Appendx.pdf,
More information20. Mon, Oct. 13 What we have done so far corresponds roughly to Chapters 2 & 3 of Lee. Now we turn to Chapter 4. The first idea is connectedness.
20. Mon, Oct. 13 What we have done so far corresponds roughly to Chapters 2 & 3 of Lee. Now we turn to Chapter 4. The frst dea s connectedness. Essentally, we want to say that a space cannot be decomposed
More informationLecture 2: Gram-Schmidt Vectors and the LLL Algorithm
NYU, Fall 2016 Lattces Mn Course Lecture 2: Gram-Schmdt Vectors and the LLL Algorthm Lecturer: Noah Stephens-Davdowtz 2.1 The Shortest Vector Problem In our last lecture, we consdered short solutons to
More informationwhere a is any ideal of R. Lemma 5.4. Let R be a ring. Then X = Spec R is a topological space Moreover the open sets
5. Schemes To defne schemes, just as wth algebrac varetes, the dea s to frst defne what an affne scheme s, and then realse an arbtrary scheme, as somethng whch s locally an affne scheme. The defnton of
More informationOn the size of quotient of two subsets of positive integers.
arxv:1706.04101v1 [math.nt] 13 Jun 2017 On the sze of quotent of two subsets of postve ntegers. Yur Shtenkov Abstract We obtan non-trval lower bound for the set A/A, where A s a subset of the nterval [1,
More informationProblem Set 9 Solutions
Desgn and Analyss of Algorthms May 4, 2015 Massachusetts Insttute of Technology 6.046J/18.410J Profs. Erk Demane, Srn Devadas, and Nancy Lynch Problem Set 9 Solutons Problem Set 9 Solutons Ths problem
More informationBuckingham s pi-theorem
TMA495 Mathematcal modellng 2004 Buckngham s p-theorem Harald Hanche-Olsen hanche@math.ntnu.no Theory Ths note s about physcal quanttes R,...,R n. We lke to measure them n a consstent system of unts, such
More informationTHE CLASS NUMBER THEOREM
THE CLASS NUMBER THEOREM TIMUR AKMAN-DUFFY Abstract. In basc number theory we encounter the class group (also known as the deal class group). Ths group measures the extent that a rng fals to be a prncpal
More informationCSCE 790S Background Results
CSCE 790S Background Results Stephen A. Fenner September 8, 011 Abstract These results are background to the course CSCE 790S/CSCE 790B, Quantum Computaton and Informaton (Sprng 007 and Fall 011). Each
More informationOn the correction of the h-index for career length
1 On the correcton of the h-ndex for career length by L. Egghe Unverstet Hasselt (UHasselt), Campus Depenbeek, Agoralaan, B-3590 Depenbeek, Belgum 1 and Unverstet Antwerpen (UA), IBW, Stadscampus, Venusstraat
More informationREAL ANALYSIS I HOMEWORK 1
REAL ANALYSIS I HOMEWORK CİHAN BAHRAN The questons are from Tao s text. Exercse 0.0.. If (x α ) α A s a collecton of numbers x α [0, + ] such that x α
More informationarxiv: v1 [math.nt] 12 Sep 2018
ON p-adic VALUATIONS OF COLORED p-ary PARTITIONS arxv:180904628v1 [mathnt] 12 Sep 2018 MACIEJ ULAS AND B LAŻEJ ŻMIJA Abstract Letm N 2 andforgven k N + consderthesequence (A m,k (n n N defned by the power
More informationSL n (F ) Equals its Own Derived Group
Internatonal Journal of Algebra, Vol. 2, 2008, no. 12, 585-594 SL n (F ) Equals ts Own Derved Group Jorge Macel BMCC-The Cty Unversty of New York, CUNY 199 Chambers street, New York, NY 10007, USA macel@cms.nyu.edu
More informationSubset Topological Spaces and Kakutani s Theorem
MOD Natural Neutrosophc Subset Topologcal Spaces and Kakutan s Theorem W. B. Vasantha Kandasamy lanthenral K Florentn Smarandache 1 Copyrght 1 by EuropaNova ASBL and the Authors Ths book can be ordered
More informationSolutions to the 71st William Lowell Putnam Mathematical Competition Saturday, December 4, 2010
Solutons to the 7st Wllam Lowell Putnam Mathematcal Competton Saturday, December 4, 2 Kran Kedlaya and Lenny Ng A The largest such k s n+ 2 n 2. For n even, ths value s acheved by the partton {,n},{2,n
More informationinv lve a journal of mathematics 2008 Vol. 1, No. 1 Divisibility of class numbers of imaginary quadratic function fields
nv lve a journal of mathematcs Dvsblty of class numbers of magnary quadratc functon felds Adam Merberg mathematcal scences publshers 2008 Vol. 1, No. 1 INVOLVE 1:1(2008) Dvsblty of class numbers of magnary
More informationSelf-complementing permutations of k-uniform hypergraphs
Dscrete Mathematcs Theoretcal Computer Scence DMTCS vol. 11:1, 2009, 117 124 Self-complementng permutatons of k-unform hypergraphs Artur Szymańsk A. Paweł Wojda Faculty of Appled Mathematcs, AGH Unversty
More informationχ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body
Secton.. Moton.. The Materal Body and Moton hyscal materals n the real world are modeled usng an abstract mathematcal entty called a body. Ths body conssts of an nfnte number of materal partcles. Shown
More informationPHYS 705: Classical Mechanics. Newtonian Mechanics
1 PHYS 705: Classcal Mechancs Newtonan Mechancs Quck Revew of Newtonan Mechancs Basc Descrpton: -An dealzed pont partcle or a system of pont partcles n an nertal reference frame [Rgd bodes (ch. 5 later)]
More informationwhere a is any ideal of R. Lemma Let R be a ring. Then X = Spec R is a topological space. Moreover the open sets
11. Schemes To defne schemes, just as wth algebrac varetes, the dea s to frst defne what an affne scheme s, and then realse an arbtrary scheme, as somethng whch s locally an affne scheme. The defnton of
More informationNotes on Frequency Estimation in Data Streams
Notes on Frequency Estmaton n Data Streams In (one of) the data streamng model(s), the data s a sequence of arrvals a 1, a 2,..., a m of the form a j = (, v) where s the dentty of the tem and belongs to
More informationLecture 3: Probability Distributions
Lecture 3: Probablty Dstrbutons Random Varables Let us begn by defnng a sample space as a set of outcomes from an experment. We denote ths by S. A random varable s a functon whch maps outcomes nto the
More informationThe Order Relation and Trace Inequalities for. Hermitian Operators
Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence
More informationFixed points of IA-endomorphisms of a free metabelian Lie algebra
Proc. Indan Acad. Sc. (Math. Sc.) Vol. 121, No. 4, November 2011, pp. 405 416. c Indan Academy of Scences Fxed ponts of IA-endomorphsms of a free metabelan Le algebra NAIME EKICI 1 and DEMET PARLAK SÖNMEZ
More informationCOS 521: Advanced Algorithms Game Theory and Linear Programming
COS 521: Advanced Algorthms Game Theory and Lnear Programmng Moses Charkar February 27, 2013 In these notes, we ntroduce some basc concepts n game theory and lnear programmng (LP). We show a connecton
More informationPoisson brackets and canonical transformations
rof O B Wrght Mechancs Notes osson brackets and canoncal transformatons osson Brackets Consder an arbtrary functon f f ( qp t) df f f f q p q p t But q p p where ( qp ) pq q df f f f p q q p t In order
More informationU.C. Berkeley CS294: Spectral Methods and Expanders Handout 8 Luca Trevisan February 17, 2016
U.C. Berkeley CS94: Spectral Methods and Expanders Handout 8 Luca Trevsan February 7, 06 Lecture 8: Spectral Algorthms Wrap-up In whch we talk about even more generalzatons of Cheeger s nequaltes, and
More informationMaximizing the number of nonnegative subsets
Maxmzng the number of nonnegatve subsets Noga Alon Hao Huang December 1, 213 Abstract Gven a set of n real numbers, f the sum of elements of every subset of sze larger than k s negatve, what s the maxmum
More informationPolynomial PSet Solutions
Polynomal PSet Solutons Note: Problems A, A2, B2, B8, C2, D2, E3, and E6 were done n class. (A) Values and Roots. Rearrange to get (x + )P (x) x = 0 for x = 0,,..., n. Snce ths equaton has roots x = 0,,...,
More informationMTH 819 Algebra I S13. Homework 1/ Solutions. 1 if p n b and p n+1 b 0 otherwise ) = 0 if p q or n m. W i = rw i
MTH 819 Algebra I S13 Homework 1/ Solutons Defnton A. Let R be PID and V a untary R-module. Let p be a prme n R and n Z +. Then d p,n (V) = dm R/Rp p n 1 Ann V (p n )/p n Ann V (p n+1 ) Note here that
More informationAttacks on RSA The Rabin Cryptosystem Semantic Security of RSA Cryptology, Tuesday, February 27th, 2007 Nils Andersen. Complexity Theoretic Reduction
Attacks on RSA The Rabn Cryptosystem Semantc Securty of RSA Cryptology, Tuesday, February 27th, 2007 Nls Andersen Square Roots modulo n Complexty Theoretc Reducton Factorng Algorthms Pollard s p 1 Pollard
More informationBezier curves. Michael S. Floater. August 25, These notes provide an introduction to Bezier curves. i=0
Bezer curves Mchael S. Floater August 25, 211 These notes provde an ntroducton to Bezer curves. 1 Bernsten polynomals Recall that a real polynomal of a real varable x R, wth degree n, s a functon of the
More informationThe path of ants Dragos Crisan, Andrei Petridean, 11 th grade. Colegiul National "Emil Racovita", Cluj-Napoca
Ths artcle s wrtten by students. It may nclude omssons and mperfectons, whch were dentfed and reported as mnutely as possble by our revewers n the edtoral notes. The path of ants 07-08 Students names and
More informationComplex Numbers. x = B B 2 4AC 2A. or x = x = 2 ± 4 4 (1) (5) 2 (1)
Complex Numbers If you have not yet encountered complex numbers, you wll soon do so n the process of solvng quadratc equatons. The general quadratc equaton Ax + Bx + C 0 has solutons x B + B 4AC A For
More informationC/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1
C/CS/Phy9 Problem Set 3 Solutons Out: Oct, 8 Suppose you have two qubts n some arbtrary entangled state ψ You apply the teleportaton protocol to each of the qubts separately What s the resultng state obtaned
More information