USA Mathematical Talent Search Round 1 Solutions Year 25 Academic Year

Similar documents
USA Mathematical Talent Search Round 1 Solutions Year 21 Academic Year

Quadratic Residues. Chapter Quadratic residues

LECTURE 10: JACOBI SYMBOL

Supplement 4 Permutations, Legendre symbol and quadratic reciprocity

PRIMES AND QUADRATIC RECIPROCITY

QUADRATIC RESIDUES MATH 372. FALL INSTRUCTOR: PROFESSOR AITKEN

42nd International Mathematical Olympiad

Quadratic reciprocity

SUMMER KNOWHOW STUDY AND LEARNING CENTRE

Duke Math Meet

(e) if x = y + z and a divides any two of the integers x, y, or z, then a divides the remaining integer

Let S be a numerical semigroup generated by a generalized arithmetic sequence,

Problem Set 9. Figure 1: Diagram. This picture is a rough sketch of the 4 parabolas that give us the area that we need to find. The equations are:

p-adic Egyptian Fractions

MORE FUNCTION GRAPHING; OPTIMIZATION. (Last edited October 28, 2013 at 11:09pm.)

Duality # Second iteration for HW problem. Recall our LP example problem we have been working on, in equality form, is given below.

HW3, Math 307. CSUF. Spring 2007.

Families of Solutions to Bernoulli ODEs

MATH 573 FINAL EXAM. May 30, 2007

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac

Is there an easy way to find examples of such triples? Why yes! Just look at an ordinary multiplication table to find them!

7.2 The Definite Integral

Math 426: Probability Final Exam Practice

How do we solve these things, especially when they get complicated? How do we know when a system has a solution, and when is it unique?

Math 61CM - Solutions to homework 9

Farey Fractions. Rickard Fernström. U.U.D.M. Project Report 2017:24. Department of Mathematics Uppsala University

PART 1 MULTIPLE CHOICE Circle the appropriate response to each of the questions below. Each question has a value of 1 point.

Chapter 1: Fundamentals

The area under the graph of f and above the x-axis between a and b is denoted by. f(x) dx. π O

W. We shall do so one by one, starting with I 1, and we shall do it greedily, trying

fractions Let s Learn to

3.1 Review of Sine, Cosine and Tangent for Right Angles

Theoretical foundations of Gaussian quadrature

DISCRETE MATHEMATICS HOMEWORK 3 SOLUTIONS

SOLUTIONS FOR ADMISSIONS TEST IN MATHEMATICS, COMPUTER SCIENCE AND JOINT SCHOOLS WEDNESDAY 5 NOVEMBER 2014

(9) P (x)u + Q(x)u + R(x)u =0

Unit #9 : Definite Integral Properties; Fundamental Theorem of Calculus

Chapter 6 Notes, Larson/Hostetler 3e

Sect 10.2 Trigonometric Ratios

UNIFORM CONVERGENCE. Contents 1. Uniform Convergence 1 2. Properties of uniform convergence 3

We will see what is meant by standard form very shortly

Section 5.1 #7, 10, 16, 21, 25; Section 5.2 #8, 9, 15, 20, 27, 30; Section 5.3 #4, 6, 9, 13, 16, 28, 31; Section 5.4 #7, 18, 21, 23, 25, 29, 40

A proof of the strong twin prime conjecture

Unit 6 Solving Oblique Triangles - Classwork

Improper Integrals, and Differential Equations

Special Numbers, Factors and Multiples

Convex Sets and Functions

Individual Group. Individual Events I1 If 4 a = 25 b 1 1. = 10, find the value of.

MAA 4212 Improper Integrals

k and v = v 1 j + u 3 i + v 2

Lecture 1. Functional series. Pointwise and uniform convergence.

Goals: Determine how to calculate the area described by a function. Define the definite integral. Explore the relationship between the definite

Individual Contest. English Version. Time limit: 90 minutes. Instructions:

Equations and Inequalities

Before we can begin Ch. 3 on Radicals, we need to be familiar with perfect squares, cubes, etc. Try and do as many as you can without a calculator!!!

Scientific notation is a way of expressing really big numbers or really small numbers.

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives

Riemann Sums and Riemann Integrals

7.3 Problem 7.3. ~B(~x) = ~ k ~ E(~x)=! but we also have a reected wave. ~E(~x) = ~ E 2 e i~ k 2 ~x i!t. ~B R (~x) = ~ k R ~ E R (~x)=!

Exam 2, Mathematics 4701, Section ETY6 6:05 pm 7:40 pm, March 31, 2016, IH-1105 Instructor: Attila Máté 1

Riemann Sums and Riemann Integrals

THE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS.

Bridging the gap: GCSE AS Level

set is not closed under matrix [ multiplication, ] and does not form a group.

Quadratic Forms. Quadratic Forms

Math 113 Exam 1-Review

arxiv: v9 [math.nt] 8 Jun 2010

Equations, expressions and formulae

Chapter 0. What is the Lebesgue integral about?

Lecture 3 ( ) (translated and slightly adapted from lecture notes by Martin Klazar)

Review of Calculus, cont d

Polynomial Approximations for the Natural Logarithm and Arctangent Functions. Math 230

Primitive. that ak=1 with K < 4cm ). mod 7. working. then, smaller than 6 will do. m ) =/ odm ) is called. modulo m ( 4) =3. ordz.

UniversitaireWiskundeCompetitie. Problem 2005/4-A We have k=1. Show that for every q Q satisfying 0 < q < 1, there exists a finite subset K N so that

p(t) dt + i 1 re it ireit dt =

Mathematics Extension 1

6.2 The Pythagorean Theorems

A BRIEF INTRODUCTION TO UNIFORM CONVERGENCE. In the study of Fourier series, several questions arise naturally, such as: c n e int

Natural examples of rings are the ring of integers, a ring of polynomials in one variable, the ring

Lecture 13 - Linking E, ϕ, and ρ

Jackson 2.26 Homework Problem Solution Dr. Christopher S. Baird University of Massachusetts Lowell

Infinite Geometric Series

Math 4310 Solutions to homework 1 Due 9/1/16

The Regulated and Riemann Integrals

and that at t = 0 the object is at position 5. Find the position of the object at t = 2.

Summary: Method of Separation of Variables

Math 1B, lecture 4: Error bounds for numerical methods

Absolute values of real numbers. Rational Numbers vs Real Numbers. 1. Definition. Absolute value α of a real

Main topics for the First Midterm

Operations with Polynomials

1. Extend QR downwards to meet the x-axis at U(6, 0). y

The Fundamental Theorem of Calculus. The Total Change Theorem and the Area Under a Curve.

Coalgebra, Lecture 15: Equations for Deterministic Automata

Read section 3.3, 3.4 Announcements:

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams

Polynomials and Division Theory

Lecture 3. Limits of Functions and Continuity

Lesson 1: Quadratic Equations

Bases for Vector Spaces

Exam 1 Solutions (1) C, D, A, B (2) C, A, D, B (3) C, B, D, A (4) A, C, D, B (5) D, C, A, B

Transcription:

1/1/5. Alex is trying to oen lock whose code is sequence tht is three letters long, with ech of the letters being one of A, B or C, ossibly reeted. The lock hs three buttons, lbeled A, B nd C. When the most recent button-resses form the string, the lock oens. Wht is the minimum number of totl button resses Alex needs to be sure to oen the lock? The nswer is 9. This cn be chieved with the following sequence of resses: AAACCCBCCACBBCBACABCAABBBABAA There re = 7 different strings of three letters with ech letter being one of A, B, or C. All 7 of these strings er consecutively in the bove sequences of resses. Ech ress of the button corresonds to ttemting t most one more string, nmely the one formed by the revious three resses. No string cn be ttemted fter the first two resses. Therefore, the first time tht ll 7 strings cn be tried on the lock is fter 7 + = 9 resses of the button, so 9 is indeed the minimum.

/1/5. In the 5 6 grid shown, fill in ll of the grid cells with the digits 9 so tht the following conditions re stisfied: 1. Ech digit gets used exctly times.. No digit is greter thn the digit directly bove it.. In ny four cells tht form subgrid, the sum of the four digits must be multile of. 7 8 6 4 5 1 You do not need to rove tht your configurtion is the only one ossible; you merely need to find configurtion tht stisfies the constrints bove. (Note: In ny other USAMTS roblem, you need to rovide full roof. Only in this roblem is n nswer without justifiction ccetble.) Lbel the unknown cells with the vribles through v s shown to the b c d 7 e right. Using rule reetedly in the to two rows, we hve j k 4 l m b + 8 + c + g c + g + d + h d + h + 7 + i 7 + i + e + 6 (). 5 n o 1 q r s t u v The first equivlence bove gives us b +8 d+h (), nd the third equivlence gives us d + h e + 6 (). Thus b + 8 e + 6 (). Since 8 b 9 nd 6 e 9, we must hve tht (b, e) is either (8, 7) or (9, 8). Alying the technique bove reetedly gives us the following fourth rule: 4. If two columns re n even distnce rt, then ny djcent ir of cells in the first column hs the sme sum modulo s the corresonding djcent ir in the second column. Similrly, if two rows re n even distnce rt, then ny djcent ir of cells in the first row hs the sme sum modulo s the corresonding djcent ir in the second row. Using rule 4, we hve 5 + r 1 + u (). In rticulr, since u must be or 1, we must hve r be either or modulo. Now consider the sum of ll numbers of the bord. We hve three coies of every digit, so this sum is multile of. We lso know tht the six squres shown in the digrm to the right ll sum to multile of. Subtrcting these six squres out from the sum of the whole bord, we get tht 7 + e + + 4 + r + = 16 + e + r 1 + e + r (). b c d 7 e j k 4 l m 5 n o 1 q r s t u v But e must be 7 or 8 from bove, nd r must be or modulo, so the only ossibility is tht e = 8 nd r (). Hence (b, e) = (9, 8) nd lso u = 1.

Now the grid looks s shown. Next, note tht i () using the uer-right corner of the grid. So by rule 4 lied to the to two rows, we hve + f c + g 7 + i 1 (), 9 + 8 d + h 8 + 6 (). 9 c d 7 8 j k 4 l m 5 n o 1 q r or s t 1 v In rticulr, no column cn contin two 9 s, so ll three 9 s must be in the to row. Additionlly, by rule 4, c + d + 4 (mod ), so since one of c nd d must be 9, they both must be multiles of. Also is multile of since by rule 4, + 9 r + (). So, c, d, i, nd r re ll multiles of. At this oint, we hve shded the boxes tht we know must be multiles of. We know enough of the cells modulo for simle lictions of rules nd 4 to give us the vlue of ll of the cells modulo. For exmle, d + 7 + h + i + 1 + h + (), so h (). Reeting this round the grid gives us the following chrt: 9 7 8 8 1 6 1 4 5 1 1 1 1 1 9 c d 7 8 j k 4 l m 5 n o 1 q r s t 1 v We now just need to ly rules 1 nd reetedly to determine the exct vlues of ech cell. This is mostly cse of filling in from the to nd/or the bottom using rule, nd keeing trck of how mny times ech digit is used to ly rule 1. To strt, the only lce for the three s is the bottom row, nd the only lce for the remining 1 is the 4th column. The grid now looks s t right. The only numbers tht fit in the left column with the correct residues modulo re (, f, j) = (9, 7, 5), nd the only remining lce for the lst 8 is h. This mkes d = 9 nd c = 6. Then o = nd (q, v) = (5, ) re the only wys to lce the remining numbers tht re modulo, nd the rest of the grid esily fills to give us the finl nswer below. 9 9 6 9 7 8 7 8 4 8 6 5 7 4 6 5 4 1 1 5 1 9 c d 7 8 j k 4 l m 5 n o 1 1 q 1 v

/1/5. An infinite sequence of ositive rel numbers 1,,,... is clled territoril if for ll distinct ositive integers i, j with i < j, we hve i j 1. Cn we find territoril j sequence 1,,,... for which there exists rel number c with i < c for ll i? We will construct territoril sequence exists whose mximum vlue is. This llows us to choose c to be ny number greter thn. Consider the sequence ( i ) =, 1, 1,, 1 4, 4, 5 4, 7 4, 1 8, 8, 5 8, 7 8, 9 8, 11 8, 1 8, 15 8, 1 16, 16,.... Secificlly, 1 =, nd for ny ositive integer n, let k be the unique nonnegtive integer such tht k < n k+1, nd then n = (n k ) 1. Note tht ll the numbers in k the sequence re distinct. Suose we re given two ositive integers i, j with i < j. Let k be the unique nonnegtive integer such tht k < j k+1. Then j = t for some odd integer t. Since i k+1, we lso k hve i = u for some integer u with t u nd u not necessrily odd. Then k i j 1 > 1, k j s desired.

4/1/5. Bunbury the bunny is hoing on the ositive integers. First, he is told ositive integer n. Then Bunbury chooses ositive integers, d nd hos on ll of the sces, + d, + d,..., + 1d. However, Bunbury must mke these choices so tht the number of every sce tht he lnds on is less thn n nd reltively rime to n. A ositive integer n is clled bunny-unfriendly if, when given tht n, Bunbury is unble to find ositive integers, d tht llow him to erform the hos he wnts. Find the mximum bunny-unfriendly integer, or rove tht no such mximum exists. Let M be the roduct of ll rime numbers less thn 14. We clim tht the mximum bunny-unfriendly integer is 1M. Note tht 1 = 11 6 is not rime, so ll of the rime divisors of 1M re less thn 1. First, we verify tht 1M is bunny-unfriendly. Suose, for ske of contrdiction, tht ositive integers nd d could be chosen so tht +1d < 1M nd gcd(+kd, 1M) = 1 for ll k 1. If there is rime less thn 14 tht does not divide d, then d 1 exists modulo. Choose k < such tht k d 1 (mod ). Then +kd is multile of, nd gcd( + kd, 1M), contrdiction. Therefore no such exists, nd thus d must be multile of M. But then + 1d > 1d > 1M, lso contrdiction. Thus, Bunbury will not be ble to find n nd d to use for his hoing, nd hence 1M is bunny-unfriendly. Next, we verify tht ll numbers greter thn 1M re bunny-friendly. Let n be n integer greter thn 1M, nd let be the lrgest rime divisor of n. We brek into cses bsed on the roerties of. Cse 1: < 14, so tht ll the rime divisors of n re less thn 14. Let x be the roduct of n s distinct rime divisors. Let = 1 nd d = x, nd note tht we hve tht gcd(n, 1 + kx) = 1 for ll integers k. Furthermore, 1 + 1x < 14x, which is t most n becuse n > n > 1. Thus, this choice of nd d roves tht n is bunny-friendly. x M Cse : > 14. We first consider = 1 nd d = n. If d is still multile of, then gcd(n, 1 + kd) = 1 for ll integers k. Furthermore, 1 + 1d = 1 + 1n < n. So this choice of nd d roves tht n is bunny-friendly. But if d is not multile of, then there is unique b with b < such tht 1 + bd is multile of, nd hence gcd(n, 1 + bd) =. For ll other k < with k b, we hve gcd(n, 1 + kd) = 1. Thus, if b > 1, choosing = 1 nd d = n still roves tht n is bunny-friendly, by the rgument bove. If b < 14, then we cn try to strt our hoing fter the bd multile of d. Tht is, we let = 1 + (b + 1)d. This works rovided tht + 1d = 1 + (b + 14)d < n.

So it is sufficient to hve 1 + 47d < n. If > 48, then this will lwys be the cse, becuse then 1 + 47d < 1 + 47n < n. 48 So our remining cse is when d is not multile of nd 47. In this cse we hve to try something different. Let = +d. Note tht gcd(n, +(k+1)d) = 1 for ll k 1. Furthermore, + 14d = + 14n = ( n + 14 ) n, but is very smll (recll tht n > 1M is very lrge reltive to < 48); in rticulr n n >, so < 1, nd hence n ( 1 + 14d < + 14 ) n = 15 n < n. Thus this choice of nd d roves tht n is bunny-friendly. In ll cses, ny n > 1M is bunny-friendly. Thus, 1M is the lrgest bunny-unfriendly integer.

5/1/5. Niki nd Kyle ly tringle gme. Niki first drws ABC with re 1, nd Kyle icks oint X inside ABC. Niki then drws segments DG, EH, nd F I, ll through X, such tht D nd E re on BC, F nd G re on AC, nd H nd I re on AB. The ten oints must ll be distinct. Finlly, let S be the sum of the res of tringles DEX, F GX, nd HIX. Kyle erns S oints, nd Niki erns 1 S oints. If both lyers ly otimlly to mximize the mount of oints they get, who will win nd by how much? (We use the common nottion tht [P QR] denotes the re of tringle P QR.) We clim tht the gme will end with S = 1. In rticulr, for ny X tht Kyle chooses, we will show tht Niki cn choose her oints so tht S 1, nd if X is the centroid of ABC, then the best tht Niki cn do is S = 1. Note tht none of the rgument below deends on how tringle ABC is drwn, so how Niki drws ABC is irrelevnt. In the digrm t right, S is the sum of the shded res. Consider the sum of the res [AF I]+[BEH]+ [CDG]. Notice tht this sum counts ech white region once but ech shded region twice: for exmle, [HIX] is counted in both [AF I] nd [BEH]. Therefore, [AF I] + [BEH] + [CDG] = 1 + S, F G A X H I nd hence C E S = [AF I] + [BEH] + [CDG] 1. We will show tht for ny X Kyle chooses, Niki cn choose her oints such tht D B [AF I] + [BEH] + [CDG] 4, which imlies tht S 1. Let X be Kyle s chosen oint. Let, b, nd c be the lengths of BC, AC, nd AB, resectively, nd let h A, h B, nd h C be the distnces from X to BC, AC, nd AB, resectively. We will focus on Niki s choices of F nd I to minimize [AF I]. Let r = AI nd s = AF. On the one hnd, [AF I] = [AF X] + [AIX] = 1 (rh B + sh C ). On the other hnd, since [ACB] = 1, we hve F s A h b h c r X I [AF I] = [AF I] [ACB] = rs sin F AI bc sin CAB = rs bc. C B

Combining the bove two equtions, we hve Set x = [AF I]. By the AM-GM inequlity, [AF I] = 1 (rh B + sh C ) = rs bc. ( ) x = 1 (rh B + sh C ) rh b sh C. But rs = 1 bc(rh B + sh C ) = bcx by ( ), therefore Squring nd solving for x gives x bch B h C x. x bch B h C, with equlity if nd only if rh B = sh C. In the equlity cse, ( ) gives rh B = rs bc, so s = bch B, nd similrly r = bch C. Thus, Niki minimizes [AF I] by choosing F nd I so tht r = bch C nd s = bch B. She will ble to mke these choices rovided tht bh B 1 nd ch C 1. So, if Kyle icks X such tht h A, bh B, nd ch C re ll less thn 1, then Niki cn choose her oints so tht [AF I] + [BEH] + [CDG] = bch B h C + ch C h A + bh A h B. Let s disose of the contrry cse first: suose Kyle icks X such tht (without loss of generlity) h A 1, or equivlently h 1. Niki cn choose F nd I so tht F I CB. Then by similrity, nd using the fct tht the height from A to BC is, we hve F G A H X I ( [AF I] = h ) ( 1 ) = 1 4. Furthermore, Niki cn ick G nd H very close to A so tht [BEH] + [CDG] is s close to 1 s she wishes (in the extreme cse, G = H = A nd [BEH] + [CDG] = 1), in rticulr, Niki cn get [BEH] + [CDG] < 1. Thus, Niki cn chieve 1 [AF I] + [BEH] + [CDG] < 1 4 + 1 1 = 4. Now for the remining cses: let = h A, q = bh B, nd r = ch C, nd ssume tht Kyle icks X such tht, q, r re ll less thn 1. Then we hve [AF I] + [BEH] + [CDG] = qr + r + q. C E D B

But we lso hve the generl inequlity (qr + r + q) 1 ( + q + r), with equlity if nd only if = q = r. (This is corollry of the rerrngement inequlity q+qr+r +q +r, which itself follows from the inequlity ( q) +(q r) +(r ).) On the other hnd, so Niki s choices result in + q + r = [BCX] + [CAX] + [ABX] = [ABC] =, [AF I] + [BEH] + [CDG] = qr + r + q 1 ( + q + r) = 4, nd this inequlity is strict unless = q = r. Since Kyle wnts to choose X to mximize the mount of re tht Niki must choose, he wnts to force the inequlity to be n inequlity by choosing X such tht = q = r. This mens tht h A = bh B = ch C, which mens tht X is the centroid of ABC. In ll cses, Niki cn ick oints such tht S = [AF I] + [BEH] + [CDG] 1 1, nd Kyle cn force her into S = 1 by icking X to be the centroid of ABC. Thus, with otiml ly, Niki will score nd Kyle will score 1. c 1 Art of Problem Solving Foundtion