18.781: Solution to Practice Questions for Final Exam

Size: px
Start display at page:

Download "18.781: Solution to Practice Questions for Final Exam"

Transcription

1 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 =[,, ]=[,, ]=[,, 6+] =[,, 4, ] 6 =[,, 4,, 4,, 4,...]=[,, 4]. Therefore, lookng at [, ] we get 5/, whch leads to 5 6 = 1. Therefore (5, ) s a soluton. To get two more we compute (5 + 6) = (5 + 6) 3 =(5+ 6) ( ) = Therefore (5, ), (49, 0) and (485, 198) are three solutons. Note that snce the length of the perod s (even) there are no solutons to x 6y = 1.. If θ 1 =[3, 1, 5, 9,a 1,a,...]andθ =[3, 1, 5, 7,b 1,b,...], show that θ 1 θ < 49/7095. Soluton: Let θ =[3, 1, 5] = 3/6. Then computng the next convergent to [3, 1, 5, 9] = 11/56, we see that θ 1 θ < 1/(6 55). Smlarly θ θ < 1/(6 43). So by the trangle nequalty θ 1 θ θ 1 θ + θ θ < 1/(6 55) + 1/(6 43) = 49/7095. Note: once you compute [3, 1] = 4/1 and[3, 1, 5] = 3/6, you can be a bt lazy and not compute say [3, 1, 5, 9], snce you re only nterested n q 3 = a 3 q + q 1 = = 55. Smlarly for [3, 1, 5, 7]. 3. For n = 178, fgure out the number of postve dvsors of n, and the sum of ts postve dvsors. Soluton: n = 6 3 3,sod(n) = (6 + 1)(3 + 1) = 8, and 7 1 σ(n) = = = Use multplcatvty to calculate the sum φ(d). d d 59 1

2 Soluton: Snce f(n) = φ(n)/n s a multplcatve functon of n, so s φ(d) g = U f =. d d n So we need to fgure out what t s on prme powers. We have g(1) = 1 and for e 1, g(p e p 1 p(p 1) p e 1 (p 1) 1 )=1+ ( ) =1+e p p 1. p 1 p Now 59 = We have g( 5 ) = 1 + 5/ = 7/ andg(3 4 ) = 1 + 8/3 = 11/3. So g(n) =77/6. 5. Prove that f a prme p>3 dvdes n n + 1 for an nteger n, thenp 1 (mod 6). (the orgnal problem should have sad p>3) Soluton: We have n n +1 0(modp). So 4n 4n +4 0(modp). That s, (n 1) 3(modp). So 3 s a quadratc resdue mod p (snce gcd(3,p)=1). Ths forces p 1(mod3),snce ( ) ( )( ) ( 1= = =( 1) (p 1)/ ( 1) (p 1)/ p ) ( p =, p p p 3 3) and the last expresson s +1 f p 1(mod3)and 1 fp (mod3). 6. Compute the value of the nfnte perodc fracton 1, 4. Fnd the smallest postve (.e. both x, y > 0) soluton of x 145y =1. Soluton: Let y =[4] = 4+1/y. Theny 4y 1 =0,soy = (plus sgn because y>0). Therefore x =[1, 4] = 1 + 1/y =1+1/( ) = = 145. The perod s odd. Therefore the smallest postve soluton to the Brahmagupta-Pell equaton wll come from [1, 4] = 1 + 1/4 = 89/4, and t s (89, 4). Note that [1] = 1/1 wll gve = Determne whether there s a nontrval nteger soluton of the equaton 49x +5y +38z 8xy +70xz 8yz =0. Soluton: Let s smplfy the conc. It s expedtous to frst scale x by 1/7, getttng x +5y +38z 4xy +10xz 8yz =(x y +5z) + y +13z 8yz. Therefore replacng callng (x y + 5z) our new varable x, we get So we end up wth x + y +13z 8yz = x +(y 4z) 3z. x + y 3z whch s already nce and squarefree. By Legendre s theorem, we just need to verfy whether the local condtons are satsfed. The coeffcents 1, 1, 3 don t all have the same sgn, so that one s ok. We also need to check that 1 s a square mod 3, whch s not ok. So the orgnal conc doesn t have any nontrval ratonal or nteger ponts.

3 8. Fnd a Pythagorean trangle such that the dfference of the two (shorter) sdes s 1, and every sde s at least 100. Soluton: Suppose that the sdes are r s, rs, r + s. (In general, they wll be some common multple of these, but the fact that the dfference of two of the sdes s 1, and postvty of the sdes, forces that multple to be 1 anyway). So we need r s rs =1,.e. (r s) s =1. Letx = r s and y = s, then ths s just a Brahmagupta-Pell type equaton x y = ±1. We want a soluton such that s = y and r = x+y ar e both postve, and such that mn(rs, r s ) s larger than 100. The contnued fracton of s[1, ]. So the smallest postve soluton comes from [1] = 1/1,.e. s (x, y) =(1, 1) (whch we could have guessed anyway, wthout usng contnued fractons). Now 1 1 = 1. To get all solutons, we just have to look at the ratonal and rratonal parts of (1+ ) n. The smallest one whch works s (1+ ) 3 =7+5. So we get (r, s) =(1, 5). So the Pythagorean trangle s (119, 10, 169). 9. Show that x +y =8z + 5 has no ntegral soluton. Soluton: Lookng mod 8, we see that we have x +y 5 (mod 8). Now, further lookng mod we see x must be odd. So x 1 (mod 8), whch forces y 4 (mod 8). Ths s mpossble, snce f y s even, then y 0(mod8),andfysodd, then y (mod8). 10. Defne a sequence by a 0 =, a 1 = 5 and a n = 5a n 1 4a n for n. Show that a n a n+ a n+1 s a square for every n 0. Soluton: The characterstc polynomal s T 5T +4=(T 1)(T 4). So we must have a n = A 4 n + B 1 n. Substutng n n =0and1,wegeta n =4 n +1. So whch s a perfect square. a n a n+ a n+1 =(4n + 1)(4 n+ +1) (4 n+1 +1) =4 n+ +4 n 4 n+1 n =4 ( ) = 9 4 n =( 3 n ) 11. Let p ab. Show that ax + by c (mod p) has a soluton. Soluton: Consder the (p +1)/ numberax for x =0,...,(p 1)/. These are all dstnct modulo p. Smlarly, the (p +1)/ numbersc by are also all dstnct modulo p. Snce we now have p + 1 numbers n all, and only p resdue classes mod p, by the Pgeonhole prncple, two of these must be congruent mod p. Therefore we must have ax c by (mod p) for some x, y. Therefore the congruence has a soluton. 1. How many solutons are there to x +3x (mod 8)? Fnd all of them. Soluton: We need to fgure out the number of solutons mod 4 and mod 7, and multply. Modulo 4 we have x +3x + (x +1)(x + ) (mod 4). It s easy to see ths has the solutons x 1, (mod4). Note: one must be very careful when dealng wth congruences modulo prme powers. It s not necessarly true that f you have a product of (e.g. lnear) factors, that the product wll 3

4 be zero mod p e ff one of them s. For example, x(x +) 0 (mod 8) has more than the two solutons x 0, ; n fact, any even number x wll make x(x + ) vansh mod 8, so there are 4 solutons mod 8. If p e s small enough, the best strategy s probably just to run over all the congruence classes and check. On the other hand, f you re workng mod a prme (.e. e = 1) then you can separate out factors. Modulo 7 we have x 3 +3x +18 x 4x +4=(x ) 0 (mod 7). So just one soluton x (mod 7). So the total number of solutons mod 8 s 1 =. To fnd them, we need the lnear combnaton 4+( 1) 7=1. Then to combne 1 andwehave( 1) ( 1) 7+ 4 = 3. To combne andwe have ( ) ( 1) 7+ 4=30 (mod 8). So the two solutons mod 8 are and Let a, m be postve ntegers, not necessarly coprme. Show that a m a m φ(m) (mod m). Soluton: Wrte m = p e. Enough to prove that for every. Ifp a then by Euler e a m a m φ(m) e e (mod p ) a φ(p ) 1 (mod p ). Snce φ(p ) dvdes φ(m) = φ(p ), we get that e e a φ(m) 1 (mod p e ), and then by multplyng by a m φ(m), we get the desred congruence. On the other hand, f p a, then the left and rght sdes of the congruence we wsh to prove wll be dvsble by m m φ(m) p and p respectvely. If we prove that both the exponents are at least e,thenboth sdes wll be congruent to 0 modulo p e, and we ll be done. It s obvously enough to prove m φ(m) e,sncem m φ(m). We ll assume m>1, snce f m = 1 there are no prmes dvdng t, and nothng to prove. Now note that m>φ(m) (snceφ(m) sthenumberof ntegers n {1,...,m} coprme to m, and there s at least one whch s not coprme to m, namely m). Also, snce p e m, rememberng that φ(m) =pe 1 tmes other stuff, we see that e 1 p e 1 dvdes m φ(m). So m φ(m) p e 1 e whenever e 1. (It s an easy exercse to prove by nducton that e 1 e for any e N.) 14. Parametrze all the ratonal ponts on the curve x 3y =1. Soluton: We fnd one trval pont (1, 0). So wrte y = m(x 1) and plug t n, to get So Cancellng a factor of (x 1), we get x 3m (x 1) =1 (x 1)(x +1)=3m (x 1). x +1=3m (x 1) 4

5 So x =(3m +1)/(3m 1) and then y = m(x 1) = m/(3m 1). Ths parametrzes all ratonal ponts on the conc (except for the orgnal pont (1, 0), whch s obtaned as a lmt when m ). 15. Fnd an nteger soluton of 37x +41y = 3. Soluton: We run the Eucldean algorthm on 37 and 41 to get So ( 9) = Show that f n>1thenn n 1. (Hnt: consder the smallest prme dvdng n). Soluton: By contradcton. Suppose n n 1. Let p be the smallest prme dvdng n. Then p n 1. So the order of mod p dvdes n. But t also dvdes p 1. So the order h of mod p s less than p and dvdes n, and so are the prmes dvdng h. Snce there s no prme smaller than p whch dvdes n, the order must be 1. So 1 1(modp), whch s mpossble. 17. Let p 11 be prme. Show that for some n {1,...,9}, bothn and n + 1 are quadratc resdues. If ether or 5 s a quadratc resdue mod p, we re done, consderng the pars (1, ) and (4, 5), snce 1 and 4 are squares and therefore quadratc resdues. If both and 5 are quadratc nonresdues, then 10 s a quadratc resdue. So (9, 10) does the job. 18. Show that f 3a b (mod 17) then 3a b (mod 89). Soluton: We calculate ( ) ( ) ( ) ( ) ( ) = = = = = So f 3a b (mod 17) then we clam 17 a, else we would have 3 (ba 1 ) (mod 17) whch s a contradcton to the above calculaton. So 17 3a = b and so 17 b. Then 17 3a b,so3a b (mod 89). 19. Calculate the product α ( α), where α runs over the prmtve 14 th roots of unty. Soluton: We compute the cyclotomc polynomal Φ 14 (x) notngthattmusthavedegree φ(14) = 6. x 14 1=(x 7 1)(x 7 +1). Throwng out x 7 1, we have x 7 +1=(x +1)(x 6 x 5 + x 4 x 3 + x x +1) 5

6 So Φ 14 (x) =x 6 x 5 + x 4 x 3 + x x +1. Note that Φ 14 (x) = α (x α), where α runs over the prmtve 14 th roots of unty. Substtutng x =n,weget ( α) = =43. α 0. Let f be a multplcatve functon wth f(1) = 1, and let f 1 be ts nverse for Drchlet convoluton. Show that f 1 s multplcatve as well, and that for squarefree n, wehave f 1 (n) =μ(n)f(n). Soluton: The nverse f 1 s defned by f f 1 = 1, and t exsts as long as f(1) =0,aswe showed on a problem set. To show t s multplcatve, we wll defne a functon g whch wll be multplcatve by defnton, and show that f g = 1. Then t wll follow that f 1 = g. So let g(1) = 1, and defne g on prme powers p e by nducton on e 1 by lettng 1(p e )=0=(f g)(p e )=f(1)g(p e )+f(p)g(p e 1 )+...f(p e 1 )g(e)+f(p e )g(1) = g(p e )+f(p)g(p e 1 )+...f(p e 1 )g(e)+f(p e )g(1). Snce g(1),...,g(p e 1 ) have been defned by the nducton hypothess, we can solve ths unquely for g(p e ). Then for n = p e 1 e 1...p r r, defne g(n) = e g(p ). By constructon, g s multplcatve. Therefore so s g f. By constructon (g f)(1) = 1 and (g f)(p e )=0for e 1. So (g f)(n) =0forn 1 by multplcatvty. That s, g f = 1. Therefore g s the multplcatve nverse of f. Note that there s a unque multplcatve nverse, snce f g were another nverse, then g = g 1 = g (f g )=(g f) g = 1 g = g. Fnally, we need to show g(n) = μ(n)f(n) for n squarefree. By multplcatvty of g, μ and f, t s enough to show ths when n = p, a prme (t s clearly true for n =1). Buttheng(p) s defned by 0=g(p)+f(p)g(1) = g(p)+f(p). That s, g(p) = f(p) = μ(p)f(p), whch fnshes the proof. 6

7 MIT OpenCourseWare Theory of Numbers Sprng 01 For nformaton about ctng these materals or our Terms of Use, vst:

THE CHINESE REMAINDER THEOREM. We should thank the Chinese for their wonderful remainder theorem. Glenn Stevens

THE CHINESE REMAINDER THEOREM. We should thank the Chinese for their wonderful remainder theorem. Glenn Stevens THE CHINESE REMAINDER THEOREM KEITH CONRAD We should thank the Chnese for ther wonderful remander theorem. Glenn Stevens 1. Introducton The Chnese remander theorem says we can unquely solve any par of

More information

Math 261 Exercise sheet 2

Math 261 Exercise sheet 2 Math 261 Exercse sheet 2 http://staff.aub.edu.lb/~nm116/teachng/2017/math261/ndex.html Verson: September 25, 2017 Answers are due for Monday 25 September, 11AM. The use of calculators s allowed. Exercse

More information

Foundations of Arithmetic

Foundations of Arithmetic Foundatons of Arthmetc Notaton We shall denote the sum and product of numbers n the usual notaton as a 2 + a 2 + a 3 + + a = a, a 1 a 2 a 3 a = a The notaton a b means a dvdes b,.e. ac = b where c s an

More information

(2mn, m 2 n 2, m 2 + n 2 )

(2mn, m 2 n 2, m 2 + n 2 ) MATH 16T Homewk Solutons 1. Recall that a natural number n N s a perfect square f n = m f some m N. a) Let n = p α even f = 1,,..., k. be the prme factzaton of some n. Prove that n s a perfect square f

More information

Complex Numbers. x = B B 2 4AC 2A. or x = x = 2 ± 4 4 (1) (5) 2 (1)

Complex 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 information

a b a In case b 0, a being divisible by b is the same as to say that

a b a In case b 0, a being divisible by b is the same as to say that Secton 6.2 Dvsblty among the ntegers An nteger a ε s dvsble by b ε f there s an nteger c ε such that a = bc. Note that s dvsble by any nteger b, snce = b. On the other hand, a s dvsble by only f a = :

More information

Example: (13320, 22140) =? Solution #1: The divisors of are 1, 2, 3, 4, 5, 6, 9, 10, 12, 15, 18, 20, 27, 30, 36, 41,

Example: (13320, 22140) =? Solution #1: The divisors of are 1, 2, 3, 4, 5, 6, 9, 10, 12, 15, 18, 20, 27, 30, 36, 41, The greatest common dvsor of two ntegers a and b (not both zero) s the largest nteger whch s a common factor of both a and b. We denote ths number by gcd(a, b), or smply (a, b) when there s no confuson

More information

Basic Number Theory. Instructor: Laszlo Babai Notes by Vincent Lucarelli and the instructor. Last revision: June 11, 2001

Basic Number Theory. Instructor: Laszlo Babai Notes by Vincent Lucarelli and the instructor. Last revision: June 11, 2001 Basc Number Theory Instructor: Laszlo Baba Notes by Vncent Lucarell and the nstructor Last revson: June, 200 Notaton: Unless otherwse stated, all varables n ths note are ntegers. For n 0, [n] = {, 2,...,

More information

Problem Solving in Math (Math 43900) Fall 2013

Problem Solving in Math (Math 43900) Fall 2013 Problem Solvng n Math (Math 43900) Fall 2013 Week four (September 17) solutons Instructor: Davd Galvn 1. Let a and b be two nteger for whch a b s dvsble by 3. Prove that a 3 b 3 s dvsble by 9. Soluton:

More information

n α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0

n α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0 MODULE 2 Topcs: Lnear ndependence, bass and dmenson We have seen that f n a set of vectors one vector s a lnear combnaton of the remanng vectors n the set then the span of the set s unchanged f that vector

More information

Some Consequences. Example of Extended Euclidean Algorithm. The Fundamental Theorem of Arithmetic, II. Characterizing the GCD and LCM

Some 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 information

SL n (F ) Equals its Own Derived Group

SL n (F ) Equals its Own Derived Group Internatonal Journal of Algebra, Vol. 2, 2008, no. 12, 585-594 SL n (F ) Equals ts Own Derved Group Jorge Macel BMCC-The Cty Unversty of New York, CUNY 199 Chambers street, New York, NY 10007, USA macel@cms.nyu.edu

More information

APPENDIX A Some Linear Algebra

APPENDIX A Some Linear Algebra APPENDIX A Some Lnear Algebra The collecton of m, n matrces A.1 Matrces a 1,1,..., a 1,n A = a m,1,..., a m,n wth real elements a,j s denoted by R m,n. If n = 1 then A s called a column vector. Smlarly,

More information

REDUCTION 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. 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 information

Attacks on RSA The Rabin Cryptosystem Semantic Security of RSA Cryptology, Tuesday, February 27th, 2007 Nils Andersen. Complexity Theoretic Reduction

Attacks 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 information

HMMT February 2016 February 20, 2016

HMMT February 2016 February 20, 2016 HMMT February 016 February 0, 016 Combnatorcs 1. For postve ntegers n, let S n be the set of ntegers x such that n dstnct lnes, no three concurrent, can dvde a plane nto x regons (for example, S = {3,

More information

MULTIPLICATIVE FUNCTIONS: A REWRITE OF ANDREWS CHAPTER 6

MULTIPLICATIVE FUNCTIONS: A REWRITE OF ANDREWS CHAPTER 6 MULTIPLICATIVE FUNCTIONS: A REWRITE OF ANDREWS CHAPTER 6 In these notes we offer a rewrte of Andrews Chapter 6. Our am s to replace some of the messer arguments n Andrews. To acheve ths, we need to change

More information

Math 217 Fall 2013 Homework 2 Solutions

Math 217 Fall 2013 Homework 2 Solutions Math 17 Fall 013 Homework Solutons Due Thursday Sept. 6, 013 5pm Ths homework conssts of 6 problems of 5 ponts each. The total s 30. You need to fully justfy your answer prove that your functon ndeed has

More information

Bernoulli Numbers and Polynomials

Bernoulli Numbers and Polynomials Bernoull Numbers and Polynomals T. Muthukumar tmk@tk.ac.n 17 Jun 2014 The sum of frst n natural numbers 1, 2, 3,..., n s n n(n + 1 S 1 (n := m = = n2 2 2 + n 2. Ths formula can be derved by notng that

More information

ALGEBRA HW 7 CLAY SHONKWILER

ALGEBRA 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 information

Difference Equations

Difference Equations Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1

More information

Affine transformations and convexity

Affine transformations and convexity Affne transformatons and convexty The purpose of ths document s to prove some basc propertes of affne transformatons nvolvng convex sets. Here are a few onlne references for background nformaton: http://math.ucr.edu/

More information

arxiv: v6 [math.nt] 23 Aug 2016

arxiv: v6 [math.nt] 23 Aug 2016 A NOTE ON ODD PERFECT NUMBERS JOSE ARNALDO B. DRIS AND FLORIAN LUCA arxv:03.437v6 [math.nt] 23 Aug 206 Abstract. In ths note, we show that f N s an odd perfect number and q α s some prme power exactly

More information

Math1110 (Spring 2009) Prelim 3 - Solutions

Math1110 (Spring 2009) Prelim 3 - Solutions Math 1110 (Sprng 2009) Solutons to Prelm 3 (04/21/2009) 1 Queston 1. (16 ponts) Short answer. Math1110 (Sprng 2009) Prelm 3 - Solutons x a 1 (a) (4 ponts) Please evaluate lm, where a and b are postve numbers.

More information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

More information

Problem Set 9 Solutions

Problem Set 9 Solutions Desgn and Analyss of Algorthms May 4, 2015 Massachusetts Insttute of Technology 6.046J/18.410J Profs. Erk Demane, Srn Devadas, and Nancy Lynch Problem Set 9 Solutons Problem Set 9 Solutons Ths problem

More information

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

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

More information

Formulas for the Determinant

Formulas for the Determinant page 224 224 CHAPTER 3 Determnants e t te t e 2t 38 A = e t 2te t e 2t e t te t 2e 2t 39 If 123 A = 345, 456 compute the matrx product A adj(a) What can you conclude about det(a)? For Problems 40 43, use

More information

PRIMES 2015 reading project: Problem set #3

PRIMES 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 information

First day August 1, Problems and Solutions

First day August 1, Problems and Solutions FOURTH INTERNATIONAL COMPETITION FOR UNIVERSITY STUDENTS IN MATHEMATICS July 30 August 4, 997, Plovdv, BULGARIA Frst day August, 997 Problems and Solutons Problem. Let {ε n } n= be a sequence of postve

More information

International Mathematical Olympiad. Preliminary Selection Contest 2012 Hong Kong. Outline of Solutions

International Mathematical Olympiad. Preliminary Selection Contest 2012 Hong Kong. Outline of Solutions Internatonal Mathematcal Olympad Prelmnary Selecton ontest Hong Kong Outlne of Solutons nswers: 7 4 7 4 6 5 9 6 99 7 6 6 9 5544 49 5 7 4 6765 5 6 6 7 6 944 9 Solutons: Snce n s a two-dgt number, we have

More information

and problem sheet 2

and problem sheet 2 -8 and 5-5 problem sheet Solutons to the followng seven exercses and optonal bonus problem are to be submtted through gradescope by :0PM on Wednesday th September 08. There are also some practce problems,

More information

Finding Primitive Roots Pseudo-Deterministically

Finding Primitive Roots Pseudo-Deterministically Electronc Colloquum on Computatonal Complexty, Report No 207 (205) Fndng Prmtve Roots Pseudo-Determnstcally Ofer Grossman December 22, 205 Abstract Pseudo-determnstc algorthms are randomzed search algorthms

More information

Polynomial PSet Solutions

Polynomial 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 information

Section 8.3 Polar Form of Complex Numbers

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

More information

8.6 The Complex Number System

8.6 The Complex Number System 8.6 The Complex Number System Earler n the chapter, we mentoned that we cannot have a negatve under a square root, snce the square of any postve or negatve number s always postve. In ths secton we want

More information

COMPLEX NUMBERS AND QUADRATIC EQUATIONS

COMPLEX NUMBERS AND QUADRATIC EQUATIONS COMPLEX NUMBERS AND QUADRATIC EQUATIONS INTRODUCTION We know that x 0 for all x R e the square of a real number (whether postve, negatve or ero) s non-negatve Hence the equatons x, x, x + 7 0 etc are not

More information

Solutions to Problem Set 6

Solutions to Problem Set 6 Solutons to Problem Set 6 Problem 6. (Resdue theory) a) Problem 4.7.7 Boas. n ths problem we wll solve ths ntegral: x sn x x + 4x + 5 dx: To solve ths usng the resdue theorem, we study ths complex ntegral:

More information

A combinatorial problem associated with nonograms

A 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 information

Section 3.6 Complex Zeros

Section 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 information

Christian Aebi Collège Calvin, Geneva, Switzerland

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

More information

Digital Signal Processing

Digital Signal Processing Dgtal Sgnal Processng Dscrete-tme System Analyss Manar Mohasen Offce: F8 Emal: manar.subh@ut.ac.r School of IT Engneerng Revew of Precedent Class Contnuous Sgnal The value of the sgnal s avalable over

More information

A summation on Bernoulli numbers

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

More information

5 The Rational Canonical Form

5 The Rational Canonical Form 5 The Ratonal Canoncal Form Here p s a monc rreducble factor of the mnmum polynomal m T and s not necessarly of degree one Let F p denote the feld constructed earler n the course, consstng of all matrces

More information

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

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

More information

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

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

More information

Algebraic properties of polynomial iterates

Algebraic properties of polynomial iterates Algebrac propertes of polynomal terates Alna Ostafe Department of Computng Macquare Unversty 1 Motvaton 1. Better and cryptographcally stronger pseudorandom number generators (PRNG) as lnear constructons

More information

The internal structure of natural numbers and one method for the definition of large prime numbers

The internal structure of natural numbers and one method for the definition of large prime numbers The nternal structure of natural numbers and one method for the defnton of large prme numbers Emmanul Manousos APM Insttute for the Advancement of Physcs and Mathematcs 3 Poulou str. 53 Athens Greece Abstract

More information

MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS

MATH 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 information

Polynomials. 1 What is a polynomial? John Stalker

Polynomials. 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 information

Chowla s Problem on the Non-Vanishing of Certain Infinite Series and Related Questions

Chowla s Problem on the Non-Vanishing of Certain Infinite Series and Related Questions Proc. Int. Conf. Number Theory and Dscrete Geometry No. 4, 2007, pp. 7 79. Chowla s Problem on the Non-Vanshng of Certan Infnte Seres and Related Questons N. Saradha School of Mathematcs, Tata Insttute

More information

2.3 Nilpotent endomorphisms

2.3 Nilpotent endomorphisms s a block dagonal matrx, wth A Mat dm U (C) In fact, we can assume that B = B 1 B k, wth B an ordered bass of U, and that A = [f U ] B, where f U : U U s the restrcton of f to U 40 23 Nlpotent endomorphsms

More information

DIFFERENTIAL FORMS BRIAN OSSERMAN

DIFFERENTIAL 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 information

1 Matrix representations of canonical matrices

1 Matrix representations of canonical matrices 1 Matrx representatons of canoncal matrces 2-d rotaton around the orgn: ( ) cos θ sn θ R 0 = sn θ cos θ 3-d rotaton around the x-axs: R x = 1 0 0 0 cos θ sn θ 0 sn θ cos θ 3-d rotaton around the y-axs:

More information

C/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/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

= = = (a) Use the MATLAB command rref to solve the system. (b) Let A be the coefficient matrix and B be the right-hand side of the system.

= = = (a) Use the MATLAB command rref to solve the system. (b) Let A be the coefficient matrix and B be the right-hand side of the system. Chapter Matlab Exercses Chapter Matlab Exercses. Consder the lnear system of Example n Secton.. x x x y z y y z (a) Use the MATLAB command rref to solve the system. (b) Let A be the coeffcent matrx and

More information

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons

More information

SPECIAL SUBSETS OF DIFFERENCE SETS WITH PARTICULAR EMPHASIS ON SKEW HADAMARD DIFFERENCE SETS

SPECIAL SUBSETS OF DIFFERENCE SETS WITH PARTICULAR EMPHASIS ON SKEW HADAMARD DIFFERENCE SETS SPECIAL SUBSETS OF DIFFERENCE SETS WITH PARTICULAR EMPHASIS ON SKEW HADAMARD DIFFERENCE SETS ROBERT S. COULTER AND TODD GUTEKUNST Abstract. Ths artcle ntroduces a new approach to studyng dfference sets

More information

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal

Inner 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 information

332600_08_1.qxp 4/17/08 11:29 AM Page 481

332600_08_1.qxp 4/17/08 11:29 AM Page 481 336_8_.qxp 4/7/8 :9 AM Page 48 8 Complex Vector Spaces 8. Complex Numbers 8. Conjugates and Dvson of Complex Numbers 8.3 Polar Form and DeMovre s Theorem 8.4 Complex Vector Spaces and Inner Products 8.5

More information

MEM633 Lectures 7&8. Chapter 4. Descriptions of MIMO Systems 4-1 Direct Realizations. (i) x u. y x

MEM633 Lectures 7&8. Chapter 4. Descriptions of MIMO Systems 4-1 Direct Realizations. (i) x u. y x MEM633 Lectures 7&8 Chapter 4 Descrptons of MIMO Systems 4- Drect ealzatons y() s s su() s y () s u () s ( s)( s) s y() s u (), s y() s u() s s s y() s u(), s y() s u() s ( s)( s) s () ( s ) y ( s) u (

More information

Bezier curves. Michael S. Floater. August 25, These notes provide an introduction to Bezier curves. i=0

Bezier 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 information

DISCRIMINANTS 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. 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 information

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number

More information

Exercises. 18 Algorithms

Exercises. 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 information

On quasiperfect numbers

On quasiperfect numbers Notes on Number Theory and Dscrete Mathematcs Prnt ISSN 1310 5132, Onlne ISSN 2367 8275 Vol. 23, 2017, No. 3, 73 78 On quasperfect numbers V. Sva Rama Prasad 1 and C. Suntha 2 1 Nalla Malla Reddy Engneerng

More information

CSCE 790S Background Results

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

More information

Differential Polynomials

Differential Polynomials JASS 07 - Polynomals: Ther Power and How to Use Them Dfferental Polynomals Stephan Rtscher March 18, 2007 Abstract Ths artcle gves an bref ntroducton nto dfferental polynomals, deals and manfolds and ther

More information

College of Computer & Information Science Fall 2009 Northeastern University 20 October 2009

College of Computer & Information Science Fall 2009 Northeastern University 20 October 2009 College of Computer & Informaton Scence Fall 2009 Northeastern Unversty 20 October 2009 CS7880: Algorthmc Power Tools Scrbe: Jan Wen and Laura Poplawsk Lecture Outlne: Prmal-dual schema Network Desgn:

More information

MTH 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/ 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 information

FOR WHICH p-adic INTEGERS x CAN k

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

More information

FINITELY-GENERATED MODULES OVER A PRINCIPAL IDEAL DOMAIN

FINITELY-GENERATED MODULES OVER A PRINCIPAL IDEAL DOMAIN FINITELY-GENERTED MODULES OVER PRINCIPL IDEL DOMIN EMMNUEL KOWLSKI Throughout ths note, s a prncpal deal doman. We recall the classfcaton theorem: Theorem 1. Let M be a fntely-generated -module. (1) There

More information

Polynomials. 1 More properties of polynomials

Polynomials. 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 information

Beyond Zudilin s Conjectured q-analog of Schmidt s problem

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

More information

28 Finitely Generated Abelian Groups

28 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 information

On the size of quotient of two subsets of positive integers.

On the size of quotient of two subsets of positive integers. arxv:1706.04101v1 [math.nt] 13 Jun 2017 On the sze of quotent of two subsets of postve ntegers. Yur Shtenkov Abstract We obtan non-trval lower bound for the set A/A, where A s a subset of the nterval [1,

More information

Complex Numbers Alpha, Round 1 Test #123

Complex Numbers Alpha, Round 1 Test #123 Complex Numbers Alpha, Round Test #3. Wrte your 6-dgt ID# n the I.D. NUMBER grd, left-justfed, and bubble. Check that each column has only one number darkened.. In the EXAM NO. grd, wrte the 3-dgt Test

More information

Some basic inequalities. Definition. Let V be a vector space over the complex numbers. An inner product is given by a function, V V C

Some basic inequalities. Definition. Let V be a vector space over the complex numbers. An inner product is given by a function, V V C Some basc nequaltes Defnton. Let V be a vector space over the complex numbers. An nner product s gven by a functon, V V C (x, y) x, y satsfyng the followng propertes (for all x V, y V and c C) (1) x +

More information

Lecture 10 Support Vector Machines II

Lecture 10 Support Vector Machines II Lecture 10 Support Vector Machnes II 22 February 2016 Taylor B. Arnold Yale Statstcs STAT 365/665 1/28 Notes: Problem 3 s posted and due ths upcomng Frday There was an early bug n the fake-test data; fxed

More information

Linear, affine, and convex sets and hulls In the sequel, unless otherwise specified, X will denote a real vector space.

Linear, affine, and convex sets and hulls In the sequel, unless otherwise specified, X will denote a real vector space. Lnear, affne, and convex sets and hulls In the sequel, unless otherwse specfed, X wll denote a real vector space. Lnes and segments. Gven two ponts x, y X, we defne xy = {x + t(y x) : t R} = {(1 t)x +

More information

Lecture 10: May 6, 2013

Lecture 10: May 6, 2013 TTIC/CMSC 31150 Mathematcal Toolkt Sprng 013 Madhur Tulsan Lecture 10: May 6, 013 Scrbe: Wenje Luo In today s lecture, we manly talked about random walk on graphs and ntroduce the concept of graph expander,

More information

Character Degrees of Extensions of PSL 2 (q) and SL 2 (q)

Character Degrees of Extensions of PSL 2 (q) and SL 2 (q) Character Degrees of Extensons of PSL (q) and SL (q) Donald L. Whte Department of Mathematcal Scences Kent State Unversty, Kent, Oho 444 E-mal: whte@math.kent.edu July 7, 01 Abstract Denote by S the projectve

More information

Lecture 20: Lift and Project, SDP Duality. Today we will study the Lift and Project method. Then we will prove the SDP duality theorem.

Lecture 20: Lift and Project, SDP Duality. Today we will study the Lift and Project method. Then we will prove the SDP duality theorem. prnceton u. sp 02 cos 598B: algorthms and complexty Lecture 20: Lft and Project, SDP Dualty Lecturer: Sanjeev Arora Scrbe:Yury Makarychev Today we wll study the Lft and Project method. Then we wll prove

More information

Multiplicative Functions and Möbius Inversion Formula

Multiplicative Functions and Möbius Inversion Formula Multplcatve Functons and Möbus Inverson Forula Zvezdelna Stanova Bereley Math Crcle Drector Mlls College and UC Bereley 1. Multplcatve Functons. Overvew Defnton 1. A functon f : N C s sad to be arthetc.

More information

THERE ARE NO POINTS OF ORDER 11 ON ELLIPTIC CURVES OVER Q.

THERE 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 information

princeton univ. F 17 cos 521: Advanced Algorithm Design Lecture 7: LP Duality Lecturer: Matt Weinberg

princeton univ. F 17 cos 521: Advanced Algorithm Design Lecture 7: LP Duality Lecturer: Matt Weinberg prnceton unv. F 17 cos 521: Advanced Algorthm Desgn Lecture 7: LP Dualty Lecturer: Matt Wenberg Scrbe: LP Dualty s an extremely useful tool for analyzng structural propertes of lnear programs. Whle there

More information

COMPUTING THE NORM OF A MATRIX

COMPUTING THE NORM OF A MATRIX COMPUTING THE NORM OF A MATRIX KEITH CONRAD 1. Introducton In R n there s a standard noton of length: the sze of a vector v = (a 1,..., a n ) s v = a 2 1 + + a2 n. We wll dscuss n Secton 2 the general

More information

Norms, Condition Numbers, Eigenvalues and Eigenvectors

Norms, Condition Numbers, Eigenvalues and Eigenvectors Norms, Condton Numbers, Egenvalues and Egenvectors 1 Norms A norm s a measure of the sze of a matrx or a vector For vectors the common norms are: N a 2 = ( x 2 1/2 the Eucldean Norm (1a b 1 = =1 N x (1b

More information

No-three-in-line problem on a torus: periodicity

No-three-in-line problem on a torus: periodicity arxv:1901.09012v1 [cs.dm] 25 Jan 2019 No-three-n-lne problem on a torus: perodcty Mchael Skotnca skotnca@kam.mff.cun.cz Abstract Let τ m,n denote the maxmal number of ponts on the dscrete torus (dscrete

More information

LECTURE V. 1. More on the Chinese Remainder Theorem We begin by recalling this theorem, proven in the preceeding lecture.

LECTURE 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 information

Salmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2

Salmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2 Salmon: Lectures on partal dfferental equatons 5. Classfcaton of second-order equatons There are general methods for classfyng hgher-order partal dfferental equatons. One s very general (applyng even to

More information

1. Estimation, Approximation and Errors Percentages Polynomials and Formulas Identities and Factorization 52

1. Estimation, Approximation and Errors Percentages Polynomials and Formulas Identities and Factorization 52 ontents ommonly Used Formulas. Estmaton, pproxmaton and Errors. Percentages. Polynomals and Formulas 8. Identtes and Factorzaton. Equatons and Inequaltes 66 6. Rate and Rato 8 7. Laws of Integral Indces

More information

Bézier curves. Michael S. Floater. September 10, These notes provide an introduction to Bézier curves. i=0

Bézier curves. Michael S. Floater. September 10, These notes provide an introduction to Bézier curves. i=0 Bézer curves Mchael S. Floater September 1, 215 These notes provde an ntroducton to Bézer curves. 1 Bernsten polynomals Recall that a real polynomal of a real varable x R, wth degree n, s a functon of

More information

k t+1 + c t A t k t, t=0

k t+1 + c t A t k t, t=0 Macro II (UC3M, MA/PhD Econ) Professor: Matthas Kredler Fnal Exam 6 May 208 You have 50 mnutes to complete the exam There are 80 ponts n total The exam has 4 pages If somethng n the queston s unclear,

More information

PHYS 705: Classical Mechanics. Calculus of Variations II

PHYS 705: Classical Mechanics. Calculus of Variations II 1 PHYS 705: Classcal Mechancs Calculus of Varatons II 2 Calculus of Varatons: Generalzaton (no constrant yet) Suppose now that F depends on several dependent varables : We need to fnd such that has a statonary

More information

Introduction to Algorithms

Introduction to Algorithms Introducton to Algorthms 6.046J/8.40J Lecture 7 Prof. Potr Indyk Data Structures Role of data structures: Encapsulate data Support certan operatons (e.g., INSERT, DELETE, SEARCH) Our focus: effcency of

More information

where 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

where 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 information

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law:

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law: CE304, Sprng 2004 Lecture 4 Introducton to Vapor/Lqud Equlbrum, part 2 Raoult s Law: The smplest model that allows us do VLE calculatons s obtaned when we assume that the vapor phase s an deal gas, and

More information

For all questions, answer choice E) NOTA" means none of the above answers is correct.

For all questions, answer choice E) NOTA means none of the above answers is correct. 0 MA Natonal Conventon For all questons, answer choce " means none of the above answers s correct.. In calculus, one learns of functon representatons that are nfnte seres called power 3 4 5 seres. For

More information

Lecture 12: Discrete Laplacian

Lecture 12: Discrete Laplacian Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly

More information