Putnam 1997 (Problems and Solutions)

Size: px
Start display at page:

Download "Putnam 1997 (Problems and Solutions)"

Transcription

1 Putna 997 (Probles and Solutions) A. A rectangle, HOMF, has sides HO =and OM =5. A triangle ABC has H as the intersection of the altitudes, O the center of the circuscribed circle, M the idpoint of BC, andf the foot of the altitude fro A. What is the length of BC? Solution. In the figure below, let G be such that MG =,letx = BF = GC, and let y = AH. Since O is the circucenter, we have y =5 2 +(+x) 2. The slope of the line AB is (5 + y) /x and the slope of HC is 5/ (22 + x). Since these lines eet at right angles, the product of the slopes is. Thus, 5+y 5 x 22+x =or y =22x + x 2. Hence y =5 2 +(+x) 2 = x + x 2 = y, or y 2 5y 50 = 0 or (y 0) (y +5) =0. Thus, y =0,x=3and BC = = 28.

2 A2. Players, 2, 3,..., n are seated around a table and each has a single penny. Player passes a penny to Player 2, who then passes two pennies to Player 3. Player 3 then passes one penny to player 4, who passes two pennies to Player 5, and so on, players alternately passing one penny or two to the next player who still has pennies. A player who runs out of pennies drops out of the gae and leaves the table. Find an infinite set of nubers n for which soe player ends up with all n pennies. Solution. Suppose that at soe point there are an odd nuber greater than of reaining players, say p,p 2,..., p 2k+ (k ), none in danger of dropping out on their next pass. Then there is an odd nuber of passes starting with p s pass to p 2 and ending with p 2k+ s pass to p. Thus, if p passes 2 coins he will receive 2 coins, and if he passes he will receive. The sae is true for any other player and the gae will not terinate. Thus, we ust avoid this situation, or we are stuck with a nonterinating gae. Suppose that to begin with there are n =2 (where for notational convenience, 3) players, say p,..., p 2. Note that p drops out and p 2 passes his two and drops out, p 3 passes and ends up with 2, p 4 drops out, but p 5 ends up with 2. Continuing, p 3,p 5,..., p 2 each have 2 coins and p 2 drops out when he passes 2 to p 3 who now has 4. There are now players and we are stuck if is odd. Thus, we need =2 for soe. Relabel the players q,..., q 2.Nowq has 4 coins, the rest have 2, andq starts this stage by passing to q 2.Sincethere areanevennuber(2 ) of players, q will eventually receive 2 (for a total of 5) andpass again to q 2 to begin the second round of the stage, but then q 2 drops out, as do q 4,q 6,..., q 2. When q 2 passes 2 to q and drops out, q will have 7 and the rest q 3,q 5,..., q 2 each have 4. At the beginning of this new stage, there are now players left which ust be even, or else =(i.e., we have a winner) or we are stuck. Continuing, we see that the gae terinates if and only if is a power of 2, since half of the players (those repeatedly passing 2) eventually drop out at each stage which necessarily ust have an even nuber of players if not a winner. Observe that all the players passing 2 in a stage, have the sae nuber of coins, and so they all drop out in the sae final round of the stage. Thus, a gae with n =2 players terinates if and only if =2 =2 k for soe k 0, or n =2 =2 2 k + =2 h +2, h =2, 3, 4,... will yield terinating gaes. Of course, n =2and n =4gaes also terinate. Incidentally, for n =2 h +2, the original player p 3 is the winner since each stage ends with p 3 receiving 2. 2

3 A3. Evaluate Z µx µ x3 2 + x5 2 4 x x x x dx 0 Solution. The first series is xe 2 x2. For the second series, we use the fact that for n =0,, 2,..., Z π 0 cos 2n θ dθ = = 3 5 (n ) (2n ) 2n π = n (2n) 2 π (2n)! (2n) 2 π. Then second series is (using R π 0 cos2n+ θ dθ =0), R π R π 0 cos2n θ dθ π x 2n π 0 = cosk θ dθ x k = (2n)! k! π n=0 Thus, the desired integral is Z Z π = π n=0 Z π 0 0 e x cos θ dθ. Z π Z Z π 0 (x cos θ) k dθ k! xe 2 x2 e x cos θ dθ dx = e 2 r2 e r cos θ rdrdθ 0 π 0 π 0 0 = Z Z e 2 (x2 +y 2 ) e x dxdy = Z Z π 0 π e 2 e 2 2x+) (x2 dx e 2 y2 dy 0 = Z Z π e 2 e 2 (x )2 dx e 2 y2 dy = π e ³ 2 2π 2π = e. 2 n=0 3

4 A4. Let G be a group with identity e and φ : G G be a function such that φ (g ) φ (g 2 ) φ (g 3 )=φ (h ) φ (h 2 ) φ (h 3 ) whenever g g 2 g 3 = e = h h 2 h 3. Prove that there exists an eleent a in G such that ψ (x) =aφ (x) is a hooorphis (that is, ψ (xy) =ψ (x) ψ (y) for all x and y in G). Solution. Since x xe = e 3, we have φ x φ (x) φ (e) =φ (e) 3 or φ x φ (x) =φ (e) 2 or φ x = φ (x) φ (e) 2. Since yy e = e 3,wehave φ (y) φ y φ (e) =φ (e) 3 or φ (y) φ y = φ (e) 2 or φ y = φ (e) 2 φ (y). Since x (xy) y = eee,we have φ x φ (xy) φ y = φ (e) 3, and so φ (xy) = φ x φ (e) 3 φ y = φ (x) φ (e) 2 φ (e) 3 φ (e) 2 φ (y) = φ (x) φ (e) φ (y). 4

5 A5. Let N n denote the nuber of ordered n-tuples of positive integers (a,a 2,...,a n ) such that /a +/a /a n =. Deterine whether N 0 is even or odd. Solution. Consider the involution of the set of solutions (a,a 2,a 3,a 4,a 5,a 6,a 7,a 8,a 9,a 0 ) 7 (a 2,a,a 4,a 3,a 6,a 5,a 8,a 7,a 0,a 9 ) The nuber of points that are not fixed is even. Thus, we need only to consider the solutions of the for (a,a,a 3,a 3,a 5,a 5,a 7,a 7,a 9,a 9 ). On this set of reaining solutions, consider the involution (a,a,a 3,a 3,a 5,a 5,a 7,a 7,a 9,a 9 ) 7 (a 3,a 3,a,a,a 7,a 7,a 5,a 5,a 9,a 9 ) The points that are fixed are of the for (a,a,a,a,a 5,a 5,a 5,a 5,a 9,a 9 ). By one ore involution we need only consider the nuber of solutions of the for (a,a,a,a,a,a,a,a,a 9,a 9 ). For these 8 a + 2 a 9 =,andsoa 9 = 2a a 8. The set of possible pairs (a,a 9 ) is {(9, 8), (0, 0), (2, 6), (6, 4), (24, 3)}. Thus,N 0 is odd. 5

6 A6. For a positive integer n and any real nuber c, define x k recursively by x 0 =0, x =, and for k 0, x k+2 = cx k+ (n k)x k. k + Fix n andthentakec to be the largest value for which x n+ =0. Find x k in ters of n and k, k n. Solution. The recurrence relation is as one ight find while solving a differential equation using power series. We have (k +)x k+2 = cx k+ (n k)x k x k+2 (k +)t k = c x k+ t k n x k t k + kx k t k x k+2 (k +)t k = c x k+ t k (n ) x k t k + t 2 k= (k ) x k t k 2 Let f(t) = P x k+t k =+ P x k+2t k+ = P k= x kt k. Then the above says Hence f 0 (t) = cf(t) (n ) tf(t)+t 2 f 0 (t) f 0 (t) c (n )t = f(t) t 2 = B +t + A t = 2 (n +c) +t 2 (n c). t f(t) =( t) 2 (n c) ( + t) 2 (n +c). Now f(t) will be a polynoial of degree n if 2 (n +c) and 2 (n c) are nonnegative integers, say j and n j (i.e., j =0,..., n ). Since f(t) = P x k+t k,wewouldthenhavex n+ =0. Since j = 2 (n +c), c =2j n +. Thus, soe possible values for c for which x n+ (n, c) =0are the n values n +, n +3,..., 2(n ) n +=n. However, it is clear that x k (n, c) is a polynoial of degree at ost k in c. Indeed, x 2 (n, c) =c, and fro x k+2 = cxk+ (n k)xk k+ the result follows fro induction. Thus, the values the above values are the only values of c for which x n+ (n, c) =0. The largest of these values is c = n. Then f(t) =( t) 2 (n c) ( + t) 2 (n +c) =(+t) n, 6

7 and f(t) = P x k+t k x k+ = n k or 0 k =0 x k = k = n k k =2,..., n 0 k>n. 7

8 B. Let {x} denote the distance between the real nuber x and the nearest integer. For each positive integer n, evaluate F n = 6n = in({ 6n }, { 3n }). (Here in(a, b) denotes the iniu of a and b.) Solution. Wehave { 6n } = ½ 6n 3n 6n 3n 6n { 3n 3n/2 3n } = 3n 3n/2 3n 3n 3n 3n 3 2 = 9n 2 2 9n 3n 2 6n Now in({ 6n }, { 6n 3n/2 3n })= in 6n, 3n 3n/2 3n in 6n, 3n 3n 3n 3 2 = 9n 2 in 6n, 2 9n 3n 2 6n Using 6n 3n 2n, 6n 3n 4n 6n 2 3n 6n,. we have in({ 6n }, { 3n })= 6n 3n/2 6n 3n/2 2n 3n 2n 3n 3n 3n 4n 6n 4n 9 2 n 9 6n 2 n 6n 6n 2n = 3n 2n 3n 3n 3n 4n 6n 4n 6n 8

9 Hence, F n = = 6n = 2n = 6n in({ 6n }, { 3n }) 3n 6n + = =2n à 2n 2 = ³ 3n 3n =2n n =3n 4n =3n ³ 6n 3n + 6n =4n =4n! ³ 6n +(3n 2n +) (4n 3n +)+(6n 4n +) = 6n 2 (2n)(2n ) (5n ) n +(7n ) n 2 (0n ) 2n +2n = n. 9

10 B2. Let f be a twice-differentiable real-valued function satisfying f(x)+f 00 (x) = xg(x)f 0 (x), where g(x) 0 for all real x. Provethat f(x) is bounded. Solution. Multiplying by f 0 (x), we get 2 d f(x) 2 + f 0 (x) 2 = f(x)f 0 (x)+f 0 (x)f 00 (x) = xg(x)f 0 (x) 2. dx Thus, f(x) 2 + f 0 (x) 2 is nondecreasing for x 0 and nonincreasing for x 0. Hence f(x) 2 f(x) 2 + f 0 (x) 2 f(0) 2 + f 0 (0) 2. 0

11 B3. For each positive integer n, write the su P n = / in the for p n/q n, where p n and q n are relatively prie positive integers. Deterine all n such that 5 does not divide q n. Solution. WeaywritethesuS n := P n = / in the for S n = = n / K 5 k bn/5 k c 5- bn/5c 5-2 / + bn/5 c 5 2 K / = 5- / k F bn/5 k c, where 5 K is the largest power of 5 not greater than n and M F M :=. Consider a su of reciprocals of integers n,..., n k not divisible by 5, say = n 2...n k + n n 3...n k n n 2...n k = N n n 2 n k n n 2...n k D with D = n n 2...n k. Let n i betheassociateofn i ; i.e., n i n i od(5). Note that D (n + n n k ) = n n 2...n k (n + n n k ) n 2...n k + n n 3...n k n n 2...n k = N (od 5) Thus, D (n + n n k ) N (od 5) Since 5 - D we have 5 N n + n n k 0(od5) Note that =, 2=3, 3=2, 4=4 Working od 5, wehave 5- =, +2 =, +2+3 =, = = = = = 0, etc..

12 Writing F M = NM D M, we have N M,,, 0, 0(od5)if M, 2, 3, 4, 5(od5), respectively. Note that if M 5, thenf M = F M and N M = N M 0(od5). Recall Consider the last ter S n = K 5 k F bn/5 k c ( ) 5 K F bn/5 K c in ( ). We have n/5 K =, 2, 3 or 4. If n/5 K =, 2,or 3, then the nuerator of F bn/5k c is not divisible by 5. In this case, S n ust have a factor of at least 5 K in its denoinator. Thus, K =0in this case and n =, 2,or 3. Henceforth, suppose that n/5 K =4. In this case, we have F 4 =+/2+ /3 +/4 = 25 2 and 5 F K bn/5k c = 2 5. If K =0,thenS K 2 4 = F 4 = 25 2 and n =4has the desired property. If K, the preceding ter in ( ) is 5 F K bn/5 K c,and n/5 K =4 n/5 K =4, 2 5, 22 5, 23 5, 24 5 n/5 K =20, 2,..., 24. If n/5 K =2, 22, 23, then 5 F K bn/5 K c has nuerator not divisible by 5 and the denoinator has a factor of 5 K. As all other denoinators in the su have lower powers of 5 (in particular the last ter is 2 5 ), in this K 2 case S n will have denoinator divisible by 5 unless K. Thus, in the case n/5 K =2, 22, 23, we have n = bnc = n/5 K =2, 22, 23. Now suppose that n/5 K =20, 24. We have F 20 = and F 24 = As the nuerators of F 20 and F 24 are divisible by 25, theter 5 F K bn/5 K c has denoinator with a power of 5 of at least K 3. The su of the two ters in ( ) before and after this ter is 5 K 2 F bn/5 K 2 c + 5 K F bn/5 K c = 5 K 2 µ F bn/5 K 2 c + 2 Since 2 3 and the nuerator of F bn/5 K 2 c can be only be congruent to ± or 0, the denoinator of this su has a factor of at least 5 K 2, and all of the other ters have denoinators with lower powers of 5. Thus, we ust have K = or 2. For K =,n=20, 24 and for K =2,we have bn/5c =20, 24 n = 00 04, Thus, in view of all of the above, the only values for n with the desired property are 4, 20 24, 00 04, and

13 B4. Let a,n denote the coefficient of x n in the expansion of ( + x + x 2 ). Prove that for all k 0, b 2k 3 c 0 ( ) i a k i,i. i=0 Solution. Notethatsincethedegreeof( + x + x 2 ) is 2, wehavea,n =0 for n>2. Hence a k i,i =0for i>2(k i) or 3i >2k. Hence the upper liit on the su only serves to eliinate ters which would be 0 or undefined. Let us define a,n =0for n<0 or <0. Thusinthesuaboveandallsus below, we ay take the index to run over all integers. a +,n x n = (+x + x 2 ) + =(+x + x 2 )( + x + x 2 ) n = (+x + x 2 ) k a,k x k = k a,k (x k + x k+ + x k+2 ) = n a,n x n + n a,n x n + n a,n 2 x n = n (a,n + a,n + a,n 2 ) x n. Thus, a +,n = a,n + a,n + a,n 2. Let s k := P b 2k 3 c i=0 ( )i a k i,i = P i ( )i a k i,i.then s k+ : = ( ) i a k+ i,i = ( ) i (a k i,i + a k i,i + a k i,i 2 ) i i = ( ) i a k i,i ( ) i a (k ) (i ),i +( ) i 2 a (k 2) (i 2),i 2 i We have = s k s k + s k 2 s 2 = i ( ) i a 2 i,i =0,s = i ( ) i a i,i =0,s 0 = i ( ) i a 0 i,i = a 0,0 = Thus, s = s 0 s + s 2 = s 2 = s s 0 + s =0 s 3 = s 2 s + s 0 =0 s 4 = s 3 s 2 + s = s 5 = s 4 s 3 + s 2 = 3

14 Assue that s 4k =,s 4k+ =,s 4k+2 =0,s 4k+3 =0. Then s 4(k+) = s 4k+4 = s 4k+3 s 4k+2 + s 4k+ =0 0+=, s 4(k+)+ = s 4k+5 = s 4k+4 s 4k+3 + s 4k+2 = 0+0=, s 4(k+)+2 = s 4k+6 = s 4k+5 s 4k+4 + s 4k+3 = +0=0, and s 4(k+)+3 = s 4k+7 = s 4k+6 s 4k+5 + s 4k+4 =0 +=0. Thus, s k is 0 or for all k 0, and in particular 0 s k. 4

15 B5. Prove that for n 2, o n o n (odn) Solution. Let t := 2 and let t n := 2 t n. We are to show t n =2 t n t n (od n). We firstchecktheresultinthecasen =2 k. Note that t n 2 2 k 2 tn 2 tn 2 od 2 k t n t n od 2 k Thus, for the case n =2 k, it suffices to check that t 2 k 2 2 k. This is true if k =. If it is true for k, then t 2 k+ 2 >t 2k =2 t 2 k k 2 k+, and so t 2k 2 2 k by induction. We handle the case n =2 k d where d is odd, by using induction on d. The case d =has been done. First note that since (d, 2) =, 2 ϕ(d) (odd). Thus, we have the key observation that t 2 t (od ϕ (d)) 2 t t 2 (odd) 2 t 2 2 t (od d) t t (od d). Now t n t n od 2 k d t n t n od 2 k and t n t n (od d) Since n 2 k, we have already shown t n t n od 2 k. Thus, we need only show that t n t n (od d) and by the key observation it suffices to show that t n 2 t n (od ϕ (d)). We have d n 0 := ϕ (d) =2 k0 d 0, where d 0 is odd. Since d 0 <d,by induction we have t n 0 t n 0 (od n 0 ) or t n 0 t n 0 (od ϕ (d)). However, we need t n 2 t n (od ϕ (d)). Since n d n 0,we have n 2 n 0. Hence, if we could show the stronger result that not only t n t n (od n) but also t n t n t n+ t n+2 (od n), 5

16 (ad infinitu), then we would have t n0 t n 0 t n t n t n+ (od ϕ (d)) The stronger result t n t n t n+ t n+2 (od n) is true in the base case n =2 k. Then assuing it holds for d 0 <dinductively, we have t n 0 t n 0 t n t n t n+ (od ϕ (d)) in which case by the key observation, We already know that Thus, t n 0 t n t n t n+ (od d). t n t n+ od 2 k. t n t n+ t n+2 od 2 k d, and we have proven this stronger result by induction. 6

17 B6. The dissection of the triangle shown below (into four congruent right triangles siilar to the original) has diaeter 5/2. Find the least diaeter of a dissection of this triangle into four parts. (The diaeter of a dissection is the least upper bound of the distances between pairs of points belonging to the sae part.) Solution. Lower bounds on the least diaeter of a dissection of the triangle into 4 parts can be obtained by selecting 5 points and taking the sallest distance between pairs. Indeed, any dissection into four parts ust have one region containing 2 of the 5 points and that region has diaeter at least the distance between the two points. Thus, optiistically, we seek 5 points so that the iniu distance between pairs is as large as possible. Then we attept to find a dissection where no region has diaeter larger than this iniu distance. Let A =(0, 4),B =(0, 0),C =(3, 0). The point on the segent AC which is distance t fro (3, 0) is 5 t (0, 4) + 5 t (3, 0) = t, 4 5 t. The square of the distance fro this point to the point (0, 4 t) on AB (at distance t fro A) is µ3 35 t, 45 t 2 (0, 4 t) =25 8t t2 Setting this equal to t 2 yields 25 8t t2 = t 2 t = 25 3, 5 Thus, A is distance 25 3 fro D:= 0, 27 (0, ) which is at distance 25 3 fro E:= , = 24 3, 3 20 (.8462,.5385). It is easy to verify that 25 3 is the iniu distance between pairs of the five points A,B,C,D,E. 25 Thus, 3 is a lower bound on the diaeter of any dissection of ABC into 4 regions. We try to show that this lower bound is realized. Let F = 3 2, 0 and G = 3 2,h where h>0 is chosen so that BG = CG = µ 2 µ h 2 = 26 3 We find h = Thus,G= 3 2, (.5,.2034). Let H = 0, and let I = , = 5 3, 3 32 (.538, 2.465) be the point on AC at distance 25 3 fro A. Then BG = 25 3, CG =

18 Now, the triangle ADI and the two quadrilaterals BFGH and FGEC clearly have diaeter For the pentagon HGEID, we need to check that HE 3, but the height of E is less than that of the idpoint of DH since µ 3 < Thus, all 4 regions have diaeter equal to the lower bound

A1. Find all ordered pairs (a, b) of positive integers for which 1 a + 1 b = 3

A1. Find all ordered pairs (a, b) of positive integers for which 1 a + 1 b = 3 A. Find all ordered pairs a, b) of positive integers for which a + b = 3 08. Answer. The six ordered pairs are 009, 08), 08, 009), 009 337, 674) = 35043, 674), 009 346, 673) = 3584, 673), 674, 009 337)

More information

a a a a a a a m a b a b

a a a a a a a m a b a b Algebra / Trig Final Exa Study Guide (Fall Seester) Moncada/Dunphy Inforation About the Final Exa The final exa is cuulative, covering Appendix A (A.1-A.5) and Chapter 1. All probles will be ultiple choice

More information

12 th Annual Johns Hopkins Math Tournament Saturday, February 19, 2011 Power Round-Poles and Polars

12 th Annual Johns Hopkins Math Tournament Saturday, February 19, 2011 Power Round-Poles and Polars 1 th Annual Johns Hopkins Math Tournaent Saturday, February 19, 011 Power Round-Poles and Polars 1. Definition and Basic Properties 1. Note that the unit circles are not necessary in the solutions. They

More information

Egyptian Mathematics Problem Set

Egyptian Mathematics Problem Set (Send corrections to cbruni@uwaterloo.ca) Egyptian Matheatics Proble Set (i) Use the Egyptian area of a circle A = (8d/9) 2 to copute the areas of the following circles with given diaeter. d = 2. d = 3

More information

List Scheduling and LPT Oliver Braun (09/05/2017)

List Scheduling and LPT Oliver Braun (09/05/2017) List Scheduling and LPT Oliver Braun (09/05/207) We investigate the classical scheduling proble P ax where a set of n independent jobs has to be processed on 2 parallel and identical processors (achines)

More information

International Mathematical Olympiad. Preliminary Selection Contest 2009 Hong Kong. Outline of Solutions

International Mathematical Olympiad. Preliminary Selection Contest 2009 Hong Kong. Outline of Solutions International Matheatical Olypiad Preliinary Selection ontest 009 Hong Kong Outline of Solutions nswers:. 03809. 0 3. 0. 333. 00099 00. 37 7. 3 8. 3 9. 3 0. 8 3. 009 00. 3 3. 3. 89. 8077. 000 7. 30 8.

More information

Analysis of Polynomial & Rational Functions ( summary )

Analysis of Polynomial & Rational Functions ( summary ) Analysis of Polynoial & Rational Functions ( suary ) The standard for of a polynoial function is ( ) where each of the nubers are called the coefficients. The polynoial of is said to have degree n, where

More information

MA304 Differential Geometry

MA304 Differential Geometry MA304 Differential Geoetry Hoework 4 solutions Spring 018 6% of the final ark 1. The paraeterised curve αt = t cosh t for t R is called the catenary. Find the curvature of αt. Solution. Fro hoework question

More information

arxiv: v1 [math.nt] 14 Sep 2014

arxiv: v1 [math.nt] 14 Sep 2014 ROTATION REMAINDERS P. JAMESON GRABER, WASHINGTON AND LEE UNIVERSITY 08 arxiv:1409.411v1 [ath.nt] 14 Sep 014 Abstract. We study properties of an array of nubers, called the triangle, in which each row

More information

= 10 such triples. If it is 5, there is = 1 such triple. Therefore, there are a total of = 46 such triples.

= 10 such triples. If it is 5, there is = 1 such triple. Therefore, there are a total of = 46 such triples. . Two externally tangent unit circles are constructed inside square ABCD, one tangent to AB and AD, the other to BC and CD. Compute the length of AB. Answer: + Solution: Observe that the diagonal of the

More information

Lecture 21 Principle of Inclusion and Exclusion

Lecture 21 Principle of Inclusion and Exclusion Lecture 21 Principle of Inclusion and Exclusion Holden Lee and Yoni Miller 5/6/11 1 Introduction and first exaples We start off with an exaple Exaple 11: At Sunnydale High School there are 28 students

More information

Sun Life Financial Canadian Open Mathematics Challenge Section A 4 marks each. Official Solutions

Sun Life Financial Canadian Open Mathematics Challenge Section A 4 marks each. Official Solutions Sun Life Financial Canadian Open Mathematics Challenge 2015 Official Solutions COMC exams from other years, with or without the solutions included, are free to download online. Please visit http://comc.math.ca/2015/practice.html

More information

4 = (0.02) 3 13, = 0.25 because = 25. Simi-

4 = (0.02) 3 13, = 0.25 because = 25. Simi- Theore. Let b and be integers greater than. If = (. a a 2 a i ) b,then for any t N, in base (b + t), the fraction has the digital representation = (. a a 2 a i ) b+t, where a i = a i + tk i with k i =

More information

Polygonal Designs: Existence and Construction

Polygonal Designs: Existence and Construction Polygonal Designs: Existence and Construction John Hegean Departent of Matheatics, Stanford University, Stanford, CA 9405 Jeff Langford Departent of Matheatics, Drake University, Des Moines, IA 5011 G

More information

Bernoulli Numbers. Junior Number Theory Seminar University of Texas at Austin September 6th, 2005 Matilde N. Lalín. m 1 ( ) m + 1 k. B m.

Bernoulli Numbers. Junior Number Theory Seminar University of Texas at Austin September 6th, 2005 Matilde N. Lalín. m 1 ( ) m + 1 k. B m. Bernoulli Nubers Junior Nuber Theory Seinar University of Texas at Austin Septeber 6th, 5 Matilde N. Lalín I will ostly follow []. Definition and soe identities Definition 1 Bernoulli nubers are defined

More information

MULTIPLAYER ROCK-PAPER-SCISSORS

MULTIPLAYER ROCK-PAPER-SCISSORS MULTIPLAYER ROCK-PAPER-SCISSORS CHARLOTTE ATEN Contents 1. Introduction 1 2. RPS Magas 3 3. Ites as a Function of Players and Vice Versa 5 4. Algebraic Properties of RPS Magas 6 References 6 1. Introduction

More information

. The univariate situation. It is well-known for a long tie that denoinators of Pade approxiants can be considered as orthogonal polynoials with respe

. The univariate situation. It is well-known for a long tie that denoinators of Pade approxiants can be considered as orthogonal polynoials with respe PROPERTIES OF MULTIVARIATE HOMOGENEOUS ORTHOGONAL POLYNOMIALS Brahi Benouahane y Annie Cuyt? Keywords Abstract It is well-known that the denoinators of Pade approxiants can be considered as orthogonal

More information

Understanding Machine Learning Solution Manual

Understanding Machine Learning Solution Manual Understanding Machine Learning Solution Manual Written by Alon Gonen Edited by Dana Rubinstein Noveber 17, 2014 2 Gentle Start 1. Given S = ((x i, y i )), define the ultivariate polynoial p S (x) = i []:y

More information

THE SUPER CATALAN NUMBERS S(m, m + s) FOR s 3 AND SOME INTEGER FACTORIAL RATIOS. 1. Introduction. = (2n)!

THE SUPER CATALAN NUMBERS S(m, m + s) FOR s 3 AND SOME INTEGER FACTORIAL RATIOS. 1. Introduction. = (2n)! THE SUPER CATALAN NUMBERS S(, + s FOR s 3 AND SOME INTEGER FACTORIAL RATIOS XIN CHEN AND JANE WANG Abstract. We give a cobinatorial interpretation for the super Catalan nuber S(, + s for s 3 using lattice

More information

13.2 Fully Polynomial Randomized Approximation Scheme for Permanent of Random 0-1 Matrices

13.2 Fully Polynomial Randomized Approximation Scheme for Permanent of Random 0-1 Matrices CS71 Randoness & Coputation Spring 018 Instructor: Alistair Sinclair Lecture 13: February 7 Disclaier: These notes have not been subjected to the usual scrutiny accorded to foral publications. They ay

More information

Curious Bounds for Floor Function Sums

Curious Bounds for Floor Function Sums 1 47 6 11 Journal of Integer Sequences, Vol. 1 (018), Article 18.1.8 Curious Bounds for Floor Function Sus Thotsaporn Thanatipanonda and Elaine Wong 1 Science Division Mahidol University International

More information

The Weierstrass Approximation Theorem

The Weierstrass Approximation Theorem 36 The Weierstrass Approxiation Theore Recall that the fundaental idea underlying the construction of the real nubers is approxiation by the sipler rational nubers. Firstly, nubers are often deterined

More information

Monochromatic images

Monochromatic images CHAPTER 8 Monochroatic iages 1 The Central Sets Theore Lea 11 Let S,+) be a seigroup, e be an idepotent of βs and A e There is a set B A in e such that, for each v B, there is a set C A in e with v+c A

More information

Functions: Review of Algebra and Trigonometry

Functions: Review of Algebra and Trigonometry Sec. and. Functions: Review o Algebra and Trigonoetry A. Functions and Relations DEFN Relation: A set o ordered pairs. (,y) (doain, range) DEFN Function: A correspondence ro one set (the doain) to anther

More information

Model Fitting. CURM Background Material, Fall 2014 Dr. Doreen De Leon

Model Fitting. CURM Background Material, Fall 2014 Dr. Doreen De Leon Model Fitting CURM Background Material, Fall 014 Dr. Doreen De Leon 1 Introduction Given a set of data points, we often want to fit a selected odel or type to the data (e.g., we suspect an exponential

More information

Poornima University, For any query, contact us at: , 18

Poornima University, For any query, contact us at: , 18 AIEEE//Math S. No Questions Solutions Q. Lets cos (α + β) = and let sin (α + β) = 5, where α, β π, then tan α = 5 (a) 56 (b) 9 (c) 7 (d) 5 6 Sol: (a) cos (α + β) = 5 tan (α + β) = tan α = than (α + β +

More information

Putnam problems and solutions A1

Putnam problems and solutions A1 Putnam problems and solutions A1 (Many solutions are taken directly from http://www.unl.edu/amc/a-activities/a7-problems/ putnamindex.shtml where the authors are properly attributed. Others are from The

More information

1 Proof of learning bounds

1 Proof of learning bounds COS 511: Theoretical Machine Learning Lecturer: Rob Schapire Lecture #4 Scribe: Akshay Mittal February 13, 2013 1 Proof of learning bounds For intuition of the following theore, suppose there exists a

More information

In this chapter, we consider several graph-theoretic and probabilistic models

In this chapter, we consider several graph-theoretic and probabilistic models THREE ONE GRAPH-THEORETIC AND STATISTICAL MODELS 3.1 INTRODUCTION In this chapter, we consider several graph-theoretic and probabilistic odels for a social network, which we do under different assuptions

More information

EXPLICIT CONGRUENCES FOR EULER POLYNOMIALS

EXPLICIT CONGRUENCES FOR EULER POLYNOMIALS EXPLICIT CONGRUENCES FOR EULER POLYNOMIALS Zhi-Wei Sun Departent of Matheatics, Nanjing University Nanjing 10093, People s Republic of China zwsun@nju.edu.cn Abstract In this paper we establish soe explicit

More information

Solutions of some selected problems of Homework 4

Solutions of some selected problems of Homework 4 Solutions of soe selected probles of Hoework 4 Sangchul Lee May 7, 2018 Proble 1 Let there be light A professor has two light bulbs in his garage. When both are burned out, they are replaced, and the next

More information

Characterization of the Line Complexity of Cellular Automata Generated by Polynomial Transition Rules. Bertrand Stone

Characterization of the Line Complexity of Cellular Automata Generated by Polynomial Transition Rules. Bertrand Stone Characterization of the Line Coplexity of Cellular Autoata Generated by Polynoial Transition Rules Bertrand Stone Abstract Cellular autoata are discrete dynaical systes which consist of changing patterns

More information

arxiv: v1 [math.co] 19 Apr 2017

arxiv: v1 [math.co] 19 Apr 2017 PROOF OF CHAPOTON S CONJECTURE ON NEWTON POLYTOPES OF q-ehrhart POLYNOMIALS arxiv:1704.0561v1 [ath.co] 19 Apr 017 JANG SOO KIM AND U-KEUN SONG Abstract. Recently, Chapoton found a q-analog of Ehrhart polynoials,

More information

Related Rates section 3.9

Related Rates section 3.9 Related Rate ection 3.9 Iportant Note: In olving the related rate proble, the rate of change of a quantity i given and the rate of change of another quantity i aked for. You need to find a relationhip

More information

On the Navier Stokes equations

On the Navier Stokes equations On the Navier Stokes equations Daniel Thoas Hayes April 26, 2018 The proble on the existence and soothness of the Navier Stokes equations is resolved. 1. Proble description The Navier Stokes equations

More information

UNIVERSITY OF MICHIGAN UNDERGRADUATE MATH COMPETITION 28 APRIL 7, 2011

UNIVERSITY OF MICHIGAN UNDERGRADUATE MATH COMPETITION 28 APRIL 7, 2011 UNIVERSITY OF MICHIGAN UNDERGRADUATE MATH COMPETITION 28 APRIL 7, 20 Instructions. Write on the front of your blue book your student ID number. Do not write your name anywhere on your blue book. Each question

More information

International Mathematics TOURNAMENT OF THE TOWNS

International Mathematics TOURNAMENT OF THE TOWNS International Mathematics TOURNAMENT OF THE TOWNS Senior A-Level Paper Fall 2008. 1. A standard 8 8 chessboard is modified by varying the distances between parallel grid lines, so that the cells are rectangles

More information

The Euler-Maclaurin Formula and Sums of Powers

The Euler-Maclaurin Formula and Sums of Powers DRAFT VOL 79, NO 1, FEBRUARY 26 1 The Euler-Maclaurin Forula and Sus of Powers Michael Z Spivey University of Puget Sound Tacoa, WA 98416 spivey@upsedu Matheaticians have long been intrigued by the su

More information

3.8 Three Types of Convergence

3.8 Three Types of Convergence 3.8 Three Types of Convergence 3.8 Three Types of Convergence 93 Suppose that we are given a sequence functions {f k } k N on a set X and another function f on X. What does it ean for f k to converge to

More information

11 th Philippine Mathematical Olympiad Questions, Answers, and Hints

11 th Philippine Mathematical Olympiad Questions, Answers, and Hints view.php3 (JPEG Image, 840x888 pixels) - Scaled (71%) https://mail.ateneo.net/horde/imp/view.php3?mailbox=inbox&inde... 1 of 1 11/5/2008 5:02 PM 11 th Philippine Mathematical Olympiad Questions, Answers,

More information

13 Harmonic oscillator revisited: Dirac s approach and introduction to Second Quantization

13 Harmonic oscillator revisited: Dirac s approach and introduction to Second Quantization 3 Haronic oscillator revisited: Dirac s approach and introduction to Second Quantization. Dirac cae up with a ore elegant way to solve the haronic oscillator proble. We will now study this approach. The

More information

UNC Charlotte 2004 Algebra with solutions

UNC Charlotte 2004 Algebra with solutions with solutions March 8, 2004 1. Let z denote the real number solution to of the digits of z? (A) 13 (B) 14 (C) 15 (D) 16 (E) 17 3 + x 1 = 5. What is the sum Solution: E. Square both sides twice to get

More information

Series Solutions of Differential Equations

Series Solutions of Differential Equations Chapter 6 Series Solutions of Differential Equations In this chapter we consider methods for solving differential equations using power series. Sequences and infinite series are also involved in this treatment.

More information

A Note on Scheduling Tall/Small Multiprocessor Tasks with Unit Processing Time to Minimize Maximum Tardiness

A Note on Scheduling Tall/Small Multiprocessor Tasks with Unit Processing Time to Minimize Maximum Tardiness A Note on Scheduling Tall/Sall Multiprocessor Tasks with Unit Processing Tie to Miniize Maxiu Tardiness Philippe Baptiste and Baruch Schieber IBM T.J. Watson Research Center P.O. Box 218, Yorktown Heights,

More information

arxiv: v2 [math.nt] 5 Sep 2012

arxiv: v2 [math.nt] 5 Sep 2012 ON STRONGER CONJECTURES THAT IMPLY THE ERDŐS-MOSER CONJECTURE BERND C. KELLNER arxiv:1003.1646v2 [ath.nt] 5 Sep 2012 Abstract. The Erdős-Moser conjecture states that the Diophantine equation S k () = k,

More information

The Hydrogen Atom. Nucleus charge +Ze mass m 1 coordinates x 1, y 1, z 1. Electron charge e mass m 2 coordinates x 2, y 2, z 2

The Hydrogen Atom. Nucleus charge +Ze mass m 1 coordinates x 1, y 1, z 1. Electron charge e mass m 2 coordinates x 2, y 2, z 2 The Hydrogen Ato The only ato that can be solved exactly. The results becoe the basis for understanding all other atos and olecules. Orbital Angular Moentu Spherical Haronics Nucleus charge +Ze ass coordinates

More information

Integration. Tuesday, December 3, 13

Integration. Tuesday, December 3, 13 4 Integration 4.3 Riemann Sums and Definite Integrals Objectives n Understand the definition of a Riemann sum. n Evaluate a definite integral using properties of definite integrals. 3 Riemann Sums 4 Riemann

More information

E0 370 Statistical Learning Theory Lecture 5 (Aug 25, 2011)

E0 370 Statistical Learning Theory Lecture 5 (Aug 25, 2011) E0 370 Statistical Learning Theory Lecture 5 Aug 5, 0 Covering Nubers, Pseudo-Diension, and Fat-Shattering Diension Lecturer: Shivani Agarwal Scribe: Shivani Agarwal Introduction So far we have seen how

More information

Putnam f(x) g(x) + h(x) = 3x +2 if 1 x 0 2x +2 if x > 0

Putnam f(x) g(x) + h(x) = 3x +2 if 1 x 0 2x +2 if x > 0 Putnam 999 A. Find polynomials f(x),g(x), andh(x), iftheyexist, suchthatforallx, if x< f(x) g(x) + h(x) 3x + if x 0 x + if x > 0 Solution. Let h(x) ax + b. Note that there are corners in the graph of this

More information

Math Reviews classifications (2000): Primary 54F05; Secondary 54D20, 54D65

Math Reviews classifications (2000): Primary 54F05; Secondary 54D20, 54D65 The Monotone Lindelöf Property and Separability in Ordered Spaces by H. Bennett, Texas Tech University, Lubbock, TX 79409 D. Lutzer, College of Willia and Mary, Williasburg, VA 23187-8795 M. Matveev, Irvine,

More information

SOUTH AFRICAN TERTIARY MATHEMATICS OLYMPIAD

SOUTH AFRICAN TERTIARY MATHEMATICS OLYMPIAD SOUTH AFRICAN TERTIARY MATHEMATICS OLYMPIAD. Determine the following value: 7 August 6 Solutions π + π. Solution: Since π

More information

Putnam n +1 (1 P (O n 1)) 2n +1. 2n +1 (2 (n 1) + 1) 2n +1 = (2 (n 1) + 1) P (O n 1)+1. (2(n 2)+1)P (On 2 )+1 2(n 1)+1. O n (n 1) + n 1 2n +1

Putnam n +1 (1 P (O n 1)) 2n +1. 2n +1 (2 (n 1) + 1) 2n +1 = (2 (n 1) + 1) P (O n 1)+1. (2(n 2)+1)P (On 2 )+1 2(n 1)+1. O n (n 1) + n 1 2n +1 Putnam 00 A. Consider a set S and a binary operation, i.e., for each a, b S, a b S. Assume (a b) a b for all a, b S. Provethata (b a) b for all a, b S. Solution. Wehaveb ((b a) b) (b a) a (b a). A. You

More information

MADHAVA MATHEMATICS COMPETITION, December 2015 Solutions and Scheme of Marking

MADHAVA MATHEMATICS COMPETITION, December 2015 Solutions and Scheme of Marking MADHAVA MATHEMATICS COMPETITION, December 05 Solutions and Scheme of Marking NB: Part I carries 0 marks, Part II carries 30 marks and Part III carries 50 marks Part I NB Each question in Part I carries

More information

2016 EF Exam Texas A&M High School Students Contest Solutions October 22, 2016

2016 EF Exam Texas A&M High School Students Contest Solutions October 22, 2016 6 EF Exam Texas A&M High School Students Contest Solutions October, 6. Assume that p and q are real numbers such that the polynomial x + is divisible by x + px + q. Find q. p Answer Solution (without knowledge

More information

Homework 4 Solutions

Homework 4 Solutions Hoework 4 s Fall 017 65 Points Proble 6.. (10 points) A plane wave is reflected fro the ocean floor at noral incidence with a level 0 db below that of the incident wave Possible values of the specific

More information

(x + 3)(x 1) lim(x + 3) = 4. lim. (x 2)( x ) = (x 2)(x + 2) x + 2 x = 4. dt (t2 + 1) = 1 2 (t2 + 1) 1 t. f(x) = lim 3x = 6,

(x + 3)(x 1) lim(x + 3) = 4. lim. (x 2)( x ) = (x 2)(x + 2) x + 2 x = 4. dt (t2 + 1) = 1 2 (t2 + 1) 1 t. f(x) = lim 3x = 6, Math 140 MT1 Sample C Solutions Tyrone Crisp 1 (B): First try direct substitution: you get 0. So try to cancel common factors. We have 0 x 2 + 2x 3 = x 1 and so the it as x 1 is equal to (x + 3)(x 1),

More information

F = 0. x o F = -k x o v = 0 F = 0. F = k x o v = 0 F = 0. x = 0 F = 0. F = -k x 1. PHYSICS 151 Notes for Online Lecture 2.4.

F = 0. x o F = -k x o v = 0 F = 0. F = k x o v = 0 F = 0. x = 0 F = 0. F = -k x 1. PHYSICS 151 Notes for Online Lecture 2.4. PHYSICS 151 Notes for Online Lecture.4 Springs, Strings, Pulleys, and Connected Objects Hook s Law F = 0 F = -k x 1 x = 0 x = x 1 Let s start with a horizontal spring, resting on a frictionless table.

More information

Web Solutions for How to Read and Do Proofs

Web Solutions for How to Read and Do Proofs Web Solutions for How to Read and Do Proofs An Introduction to Mathematical Thought Processes Sixth Edition Daniel Solow Department of Operations Weatherhead School of Management Case Western Reserve University

More information

Solutions 1. Introduction to Coding Theory - Spring 2010 Solutions 1. Exercise 1.1. See Examples 1.2 and 1.11 in the course notes.

Solutions 1. Introduction to Coding Theory - Spring 2010 Solutions 1. Exercise 1.1. See Examples 1.2 and 1.11 in the course notes. Solutions 1 Exercise 1.1. See Exaples 1.2 and 1.11 in the course notes. Exercise 1.2. Observe that the Haing distance of two vectors is the iniu nuber of bit flips required to transfor one into the other.

More information

ORIGAMI CONSTRUCTIONS OF RINGS OF INTEGERS OF IMAGINARY QUADRATIC FIELDS

ORIGAMI CONSTRUCTIONS OF RINGS OF INTEGERS OF IMAGINARY QUADRATIC FIELDS #A34 INTEGERS 17 (017) ORIGAMI CONSTRUCTIONS OF RINGS OF INTEGERS OF IMAGINARY QUADRATIC FIELDS Jürgen Kritschgau Departent of Matheatics, Iowa State University, Aes, Iowa jkritsch@iastateedu Adriana Salerno

More information

PERMANENT WEAK AMENABILITY OF GROUP ALGEBRAS OF FREE GROUPS

PERMANENT WEAK AMENABILITY OF GROUP ALGEBRAS OF FREE GROUPS PERMANENT WEAK AMENABILITY OF GROUP ALGEBRAS OF FREE GROUPS B. E. JOHNSON ABSTRACT We show that all derivations fro the group algebra (G) of a free group into its nth dual, where n is a positive even integer,

More information

arxiv:math/ v1 [math.nt] 15 Jul 2003

arxiv:math/ v1 [math.nt] 15 Jul 2003 arxiv:ath/0307203v [ath.nt] 5 Jul 2003 A quantitative version of the Roth-Ridout theore Toohiro Yaada, 606-8502, Faculty of Science, Kyoto University, Kitashirakawaoiwakecho, Sakyoku, Kyoto-City, Kyoto,

More information

Individual Round CHMMC November 20, 2016

Individual Round CHMMC November 20, 2016 Individual Round CHMMC 20 November 20, 20 Problem. We say that d k d k d d 0 represents the number n in base 2 if each d i is either 0 or, and n d k ( 2) k + d k ( 2) k + + d ( 2) + d 0. For example, 0

More information

Legendre s Equation. PHYS Southern Illinois University. October 18, 2016

Legendre s Equation. PHYS Southern Illinois University. October 18, 2016 Legendre s Equation PHYS 500 - Southern Illinois University October 18, 2016 PHYS 500 - Southern Illinois University Legendre s Equation October 18, 2016 1 / 11 Legendre s Equation Recall We are trying

More information

SOLVING LITERAL EQUATIONS. Bundle 1: Safety & Process Skills

SOLVING LITERAL EQUATIONS. Bundle 1: Safety & Process Skills SOLVING LITERAL EQUATIONS Bundle 1: Safety & Process Skills Solving Literal Equations An equation is a atheatical sentence with an equal sign. The solution of an equation is a value for a variable that

More information

Probability Distributions

Probability Distributions Probability Distributions In Chapter, we ephasized the central role played by probability theory in the solution of pattern recognition probles. We turn now to an exploration of soe particular exaples

More information

THE UNIVERSITY OF TORONTO UNDERGRADUATE MATHEMATICS COMPETITION. Sunday, March 14, 2004 Time: hours No aids or calculators permitted.

THE UNIVERSITY OF TORONTO UNDERGRADUATE MATHEMATICS COMPETITION. Sunday, March 14, 2004 Time: hours No aids or calculators permitted. THE UNIVERSITY OF TORONTO UNDERGRADUATE MATHEMATICS COMPETITION Sunday, March 1, Time: 3 1 hours No aids or calculators permitted. 1. Prove that, for any complex numbers z and w, ( z + w z z + w w z +

More information

1 2n. i=1. 2m+1 i = m, while. 2m + 1 = 1. is the best possible for any odd n.

1 2n. i=1. 2m+1 i = m, while. 2m + 1 = 1. is the best possible for any odd n. Problem 1. Let n be a positive integer. Find the largest nonnegative real number f(n) (depending on n) with the following property: whenever a 1, a,..., a n are real numbers such that a 1 + a + + a n is

More information

1. The sides of a triangle are in the ratio 3 : 5 : 9. Which of the following words best describes the triangle?

1. The sides of a triangle are in the ratio 3 : 5 : 9. Which of the following words best describes the triangle? UNIVERSITY OF NORTH CAROLINA CHARLOTTE 999 HIGH SCHOOL MATHEMATICS CONTEST March 8, 999 The sides of a triangle are in the ratio : 5 : 9 Which of the following words best describes the triangle? (A) obtuse

More information

Answers to assigned problems from Chapter 1

Answers to assigned problems from Chapter 1 Answers to assigned probles fro Chapter 1 1.7. a. A colun of ercury 1 in cross-sectional area and 0.001 in height has a volue of 0.001 and a ass of 0.001 1 595.1 kg. Then 1 Hg 0.001 1 595.1 kg 9.806 65

More information

2005 Euclid Contest. Solutions

2005 Euclid Contest. Solutions Canadian Mathematics Competition An activity of the Centre for Education in Mathematics and Computing, University of Waterloo, Waterloo, Ontario 2005 Euclid Contest Tuesday, April 19, 2005 Solutions c

More information

PUTNAM TRAINING EASY PUTNAM PROBLEMS

PUTNAM TRAINING EASY PUTNAM PROBLEMS PUTNAM TRAINING EASY PUTNAM PROBLEMS (Last updated: September 24, 2018) Remark. This is a list of exercises on Easy Putnam Problems Miguel A. Lerma Exercises 1. 2017-A1. Let S be the smallest set of positive

More information

Notes on Continued Fractions for Math 4400

Notes on Continued Fractions for Math 4400 . Continued fractions. Notes on Continued Fractions for Math 4400 The continued fraction expansion converts a positive real number α into a sequence of natural numbers. Conversely, a sequence of natural

More information

1. Matrices and Determinants

1. Matrices and Determinants Important Questions 1. Matrices and Determinants Ex.1.1 (2) x 3x y Find the values of x, y, z if 2x + z 3y w = 0 7 3 2a Ex 1.1 (3) 2x 3x y If 2x + z 3y w = 3 2 find x, y, z, w 4 7 Ex 1.1 (13) 3 7 3 2 Find

More information

EASY PUTNAM PROBLEMS

EASY PUTNAM PROBLEMS EASY PUTNAM PROBLEMS (Last updated: December 11, 2017) Remark. The problems in the Putnam Competition are usually very hard, but practically every session contains at least one problem very easy to solve

More information

THE AVERAGE NORM OF POLYNOMIALS OF FIXED HEIGHT

THE AVERAGE NORM OF POLYNOMIALS OF FIXED HEIGHT THE AVERAGE NORM OF POLYNOMIALS OF FIXED HEIGHT PETER BORWEIN AND KWOK-KWONG STEPHEN CHOI Abstract. Let n be any integer and ( n ) X F n : a i z i : a i, ± i be the set of all polynoials of height and

More information

TEST CODE: MMA (Objective type) 2015 SYLLABUS

TEST CODE: MMA (Objective type) 2015 SYLLABUS TEST CODE: MMA (Objective type) 2015 SYLLABUS Analytical Reasoning Algebra Arithmetic, geometric and harmonic progression. Continued fractions. Elementary combinatorics: Permutations and combinations,

More information

The Methods of Solution for Constrained Nonlinear Programming

The Methods of Solution for Constrained Nonlinear Programming Research Inventy: International Journal Of Engineering And Science Vol.4, Issue 3(March 2014), PP 01-06 Issn (e): 2278-4721, Issn (p):2319-6483, www.researchinventy.co The Methods of Solution for Constrained

More information

A Self-Organizing Model for Logical Regression Jerry Farlow 1 University of Maine. (1900 words)

A Self-Organizing Model for Logical Regression Jerry Farlow 1 University of Maine. (1900 words) 1 A Self-Organizing Model for Logical Regression Jerry Farlow 1 University of Maine (1900 words) Contact: Jerry Farlow Dept of Matheatics Univeristy of Maine Orono, ME 04469 Tel (07) 866-3540 Eail: farlow@ath.uaine.edu

More information

Section 3.5: Implicit Differentiation

Section 3.5: Implicit Differentiation Section 3.5: Implicit Differentiation In the previous sections, we considered the problem of finding the slopes of the tangent line to a given function y = f(x). The idea of a tangent line however is not

More information

A nonstandard cubic equation

A nonstandard cubic equation MATH-Jan-05-0 A nonstandard cubic euation J S Markoitch PO Box West Brattleboro, VT 050 Dated: January, 05 A nonstandard cubic euation is shown to hae an unusually econoical solution, this solution incorporates

More information

Chapter 16 Solutions

Chapter 16 Solutions Chapter 16 Solutions 16.1 Replace x by x vt = x 4.5t to get y = 6 [(x 4.5t) + 3] 16. y (c) y (c) y (c) 6 4 4 4 t = s t = 1 s t = 1.5 s 0 6 10 14 x 0 6 10 14 x 0 6 10 14 x y (c) y (c) 4 t =.5 s 4 t = 3

More information

A := A i : {A i } S. is an algebra. The same object is obtained when the union in required to be disjoint.

A := A i : {A i } S. is an algebra. The same object is obtained when the union in required to be disjoint. 59 6. ABSTRACT MEASURE THEORY Having developed the Lebesgue integral with respect to the general easures, we now have a general concept with few specific exaples to actually test it on. Indeed, so far

More information

An EGZ generalization for 5 colors

An EGZ generalization for 5 colors An EGZ generalization for 5 colors David Grynkiewicz and Andrew Schultz July 6, 00 Abstract Let g zs(, k) (g zs(, k + 1)) be the inial integer such that any coloring of the integers fro U U k 1,..., g

More information

HANOI OPEN MATHEMATICAL COMPETITON PROBLEMS

HANOI OPEN MATHEMATICAL COMPETITON PROBLEMS HANOI MATHEMATICAL SOCIETY NGUYEN VAN MAU HANOI OPEN MATHEMATICAL COMPETITON PROBLEMS HANOI - 2013 Contents 1 Hanoi Open Mathematical Competition 3 1.1 Hanoi Open Mathematical Competition 2006... 3 1.1.1

More information

Organization Team Team ID#

Organization Team Team ID# 1. [4] A random number generator will always output 7. Sam uses this random number generator once. What is the expected value of the output? 2. [4] Let A, B, C, D, E, F be 6 points on a circle in that

More information

Kernel Methods and Support Vector Machines

Kernel Methods and Support Vector Machines Intelligent Systes: Reasoning and Recognition Jaes L. Crowley ENSIAG 2 / osig 1 Second Seester 2012/2013 Lesson 20 2 ay 2013 Kernel ethods and Support Vector achines Contents Kernel Functions...2 Quadratic

More information

LATTICE POINT SOLUTION OF THE GENERALIZED PROBLEM OF TERQUEi. AND AN EXTENSION OF FIBONACCI NUMBERS.

LATTICE POINT SOLUTION OF THE GENERALIZED PROBLEM OF TERQUEi. AND AN EXTENSION OF FIBONACCI NUMBERS. i LATTICE POINT SOLUTION OF THE GENERALIZED PROBLEM OF TERQUEi. AND AN EXTENSION OF FIBONACCI NUMBERS. C. A. CHURCH, Jr. and H. W. GOULD, W. Virginia University, Morgantown, W. V a. In this paper we give

More information

ALGEBRA REVIEW. MULTINOMIAL An algebraic expression consisting of more than one term.

ALGEBRA REVIEW. MULTINOMIAL An algebraic expression consisting of more than one term. Page 1 of 6 ALGEBRAIC EXPRESSION A cobination of ordinary nubers, letter sybols, variables, grouping sybols and operation sybols. Nubers reain fixed in value and are referred to as constants. Letter sybols

More information

R. L. Ollerton University of Western Sydney, Penrith Campus DC1797, Australia

R. L. Ollerton University of Western Sydney, Penrith Campus DC1797, Australia FURTHER PROPERTIES OF GENERALIZED BINOMIAL COEFFICIENT k-extensions R. L. Ollerton University of Western Sydney, Penrith Capus DC1797, Australia A. G. Shannon KvB Institute of Technology, North Sydney

More information

SMT Power Round Solutions : Poles and Polars

SMT Power Round Solutions : Poles and Polars SMT Power Round Solutions : Poles and Polars February 18, 011 1 Definition and Basic Properties 1 Note that the unit circles are not necessary in the solutions. They just make the graphs look nicer. (1).0

More information

Paper 1 Further Pure Mathematics For Examination from 2016 SPECIMEN MARK SCHEME 3 hours MAXIMUM MARK: 120

Paper 1 Further Pure Mathematics For Examination from 2016 SPECIMEN MARK SCHEME 3 hours MAXIMUM MARK: 120 Cabridge International Exainations Cabridge Pre-U Certificate www.xtreepapers.co FURTHER MATHEMATICS (PRINCIPAL) 9795/ Paper Further Pure Matheatics For Exaination fro SPECIMEN MARK SCHEME hours MAXIMUM

More information

Lecture 21. Interior Point Methods Setup and Algorithm

Lecture 21. Interior Point Methods Setup and Algorithm Lecture 21 Interior Point Methods In 1984, Kararkar introduced a new weakly polynoial tie algorith for solving LPs [Kar84a], [Kar84b]. His algorith was theoretically faster than the ellipsoid ethod and

More information

SMT 2011 General Test and Solutions February 19, F (x) + F = 1 + x. 2 = 3. Now take x = 2 2 F ( 1) = F ( 1) = 3 2 F (2)

SMT 2011 General Test and Solutions February 19, F (x) + F = 1 + x. 2 = 3. Now take x = 2 2 F ( 1) = F ( 1) = 3 2 F (2) SMT 0 General Test and Solutions February 9, 0 Let F () be a real-valued function defined for all real 0, such that ( ) F () + F = + Find F () Answer: Setting =, we find that F () + F ( ) = Now take =,

More information

Bernoulli numbers and generalized factorial sums

Bernoulli numbers and generalized factorial sums Bernoulli nubers and generalized factorial sus Paul Thoas Young Departent of Matheatics, College of Charleston Charleston, SC 29424 paul@ath.cofc.edu June 25, 2010 Abstract We prove a pair of identities

More information

2. A die is rolled 3 times, the probability of getting a number larger than the previous number each time is

2. A die is rolled 3 times, the probability of getting a number larger than the previous number each time is . If P(A) = x, P = 2x, P(A B) = 2, P ( A B) = 2 3, then the value of x is (A) 5 8 5 36 6 36 36 2. A die is rolled 3 times, the probability of getting a number larger than the previous number each time

More information

(b) g(x) = 4 + 6(x 3) (x 3) 2 (= x x 2 ) M1A1 Note: Accept any alternative form that is correct. Award M1A0 for a substitution of (x + 3).

(b) g(x) = 4 + 6(x 3) (x 3) 2 (= x x 2 ) M1A1 Note: Accept any alternative form that is correct. Award M1A0 for a substitution of (x + 3). Paper. Answers. (a) METHOD f (x) q x f () q 6 q 6 f() p + 8 9 5 p METHOD f(x) (x ) + 5 x + 6x q 6, p (b) g(x) + 6(x ) (x ) ( + x x ) Note: Accept any alternative form that is correct. Award A for a substitution

More information

Block designs and statistics

Block designs and statistics Bloc designs and statistics Notes for Math 447 May 3, 2011 The ain paraeters of a bloc design are nuber of varieties v, bloc size, nuber of blocs b. A design is built on a set of v eleents. Each eleent

More information

Chapter II TRIANGULAR NUMBERS

Chapter II TRIANGULAR NUMBERS Chapter II TRIANGULAR NUMBERS Part of this work contained in this chapter has resulted in the following publications: Gopalan, M.A. and Jayakuar, P. "Note on triangular nubers in arithetic progression",

More information

lecture 36: Linear Multistep Mehods: Zero Stability

lecture 36: Linear Multistep Mehods: Zero Stability 95 lecture 36: Linear Multistep Mehods: Zero Stability 5.6 Linear ultistep ethods: zero stability Does consistency iply convergence for linear ultistep ethods? This is always the case for one-step ethods,

More information