Chapter 7. In the questions below, describe each sequence recursively. Include initial conditions and assume that the sequences begin with a 1.

Size: px
Start display at page:

Download "Chapter 7. In the questions below, describe each sequence recursively. Include initial conditions and assume that the sequences begin with a 1."

Transcription

1 Use the followig to aswer questios -6: Chapter 7 I the questios below, describe each sequece recursively Iclude iitial coditios ad assume that the sequeces begi with a a = 5 As: a = 5a,a = 5 The Fiboacci umbers As: a = a + a, a = a = 3 0,,0,,0,, As: a = a, a = 0, a = 4 a = As: a = a +, a = 5 3,,,0,,, As: a = a, a = 3 6 a =! As: a = a, a = 7 /,/3,/4,/5, a As: a =, a = / + a 8 0, 0, 0, 0, As: a = a + /0, a = 0 9,,3 3,4, As: a = a +, a = 0,,,, As: a = 00a + a = the umber of subsets of a set of size As: a = a, a =,0,00,000, As: a = 00a +, a = Page 88

2 3 a = the umber of bit strigs of legth with a eve umber of 0s As: a = a +, a = 4 a = the umber of bit strigs of legth that begi with As: a = a, a = 5 a = the umber of bit strigs of legth that cotai a pair of cosecutive 0s As: a = a + a +, a = 0, a = 6 a = the umber of ways to go dow a -step staircase if you go dow,, or 3 steps at a time As: a = a + a + a 3, a = 0, a =, a 3 = 7 Verify that a = 6 is a solutio to the recurrece relatio a = 4a 3a As: = 6 = 6 8 Verify that a = 3 is a solutio to the recurrece relatio a = 4a 3a As: = = 3 3 = 3 9 Verify that a = is a solutio to the recurrece relatio a = 4a 3a As: = = = Verify that a = 3 + is a solutio to the recurrece relatio a = 4a 3a As: 4(3 + ) 3(3 + ) = = 3 (4 ) + = 3 + Verify that a = 7 3 π is a solutio to the recurrece relatio a = 4a 3a As: 4(7 3 π) 3(7 3 π) = π + 3π = 7 3 π Use the followig to aswer questios -6: I the questios below fid a recurrece relatio with iitial coditio(s) satisfied by the sequece Assume a 0 is the first term of the sequece a = As: a = a, a 0 = 3 a = + As: a = a, a 0 = 4 a = ( ) As: a = a, a 0 = 5 a = 3 As: a = a + 3, a 0 = Page 89

3 6 a = As: a = a, a 0 = 7 You take a job that pays $5,000 aually (a) How much do you ear years from ow if you receive a three percet raise each year? (b) How much do you ear years from ow if you receive a five percet raise each year? (c) How much do you ear years from ow if each year you receive a raise of $000 plus two percet of your previous year's salary As: (a) 5, (b) 5, (c) 5, , 000( ) 8 Suppose iflatio cotiues at three percet aually (That is, a item that costs $00 ow will cost $03 ext year) Let a = the value (that is, the purchasig power) of oe dollar after years (a) Fid a recurrece relatio for a (b) What is the value of $00 after 0 years? (c) What is the value of $00 after 80 years? (d) If iflatio were to cotiue at te percet aually, fid the value of $00 after 0 years (e) If iflatio were to cotiue at te percet aually, fid the value of $00 after 80 years As: (a) a = a /03 (b) a 0 = / (c) a 80 = / (d) / 0 05 (e) / Use the followig to aswer questios 9-34: I the questios below determie whether the recurrece relatio is a liear homogeeous recurrece relatio with costat coefficiets 9 a = 07a 03a As: Yes 30 a = a As: No 3 a a = 5 3a As: No 3 a = a 3 As: Yes 00 Page 90

4 33 a 7a + a 5 = 0 As: Yes 34 a + a = As: No 35 A vedig machie dispesig books of stamps accepts oly $ cois, $ bills, ad $ bills Let a deote the umber of ways of depositig dollars i the vedig machie, where the order i which the cois ad bills are deposited matters (a) Fid a recurrece relatio for a ad give the ecessary iitial coditio(s) (b) Fid a explicit formula for a by solvig the recurrece relatio i part (a) a = α + + β ) where As: (a) a = a + a, a 0 =, a = (b) ( ) ( α = ( + ) ad β = ( ) 36 Fid the solutio of the recurrece relatio a = 3a with a 0 = As: a = 3 Use the followig to aswer questios 37-45: I the questios below solve the recurrece relatio either by usig the characteristic equatio or by discoverig a patter formed by the terms 37 a = 5a 4a, a 0 =, a = 0 As: a = ( /3) 4 + (4/3) 38 a = 5a 4a, a 0 = 0, a = As: a = (/3) 4 (/3) 39 a = 0a a, a 0 =, a = As: a = ( 7/4)( 7) + (5/4) ( 3) 40 a = a, a 0 =, a = As: a = (/) + (3/) ( ) 4 a = a + a, a 0 = 0, a = As: ( 36)( + 3) ( 36 / )( 3) a = / 4 a = 3a, a 0 = As: a = 3! Page 9

5 43 a = a + 3, a 0 = 5 ( ) As: a = + 44 a = a + 5, a 0 = 3 As: a = 3 + 5( ) = a = a + +, a 0 = 5 As: a = 5 + ( + ) + = The solutios to a = 3a + 8a have the form a = c 3 + d ( 6) Which of the followig are solutios to the give recurrece relatio? (a) a = ( 6) (b) a = 5( 6) (c) a = 3c 6d (d) a = 3 (e) a = π(3 + ( 6) ) (f) a = 3 (g) a = 3 ( + ( ) ) (h) a = As: (a) Yes (b) Yes (c) No (d) Yes (e) Yes (f) Yes (g) Yes (h) No 47 Assume that the characteristic equatio for a homogeeous liear recurrece relatio with costat coefficiets is (r 5) 3 = 0 Describe the form for the geeral solutio to the recurrece relatio As: a = c5 + d5 + e 5 48 Assume that the characteristic equatio for a homogeeous liear recurrece relatio with costat coefficiets is (r + )(r + 4) = 0 Describe the form for the geeral solutio to the recurrece relatio As: a = c( ) + d( 4) + e( 4) 49 Assume that the characteristic equatio for a homogeeous liear recurrece relatio with costat coefficiets is (r + ) 4 (r ) 4 = 0 Describe the form for the geeral solutio to the recurrece relatio As: a = c( ) + d( ) + e ( ) + f 3 ( ) + g + h + i + j 3 50 Assume that the characteristic equatio for a homogeeous liear recurrece relatio with costat coefficiets is (r 3) (r 4) 3 (r + 7) = 0 Describe the form for the geeral solutio to the recurrece relatio As: a = c3 + d3 + e 3 + f4 + g4 + h 4 + i( 7) + j( 7) Page 9

6 5 The Catala umbers C also cout the umber of strigs of +'s ad 's with the followig property: as each strig is read from left to right, the umber of +'s ecoutered is always at least as large as the umber of 's (a) Verify this by listig these strigs of legths, 4, ad 6 ad showig that there are C, C, ad C 3 of these, respectively (b) Explai how coutig these strigs is the same as coutig the umber of ways to correctly parethesize strigs of variables As: (a) C : +, C : + +,+ +, C 3 : + + +, + + +, + + +, + + +, (b) Treat each + as a left parethesis ad each as a right parethesis 5 What form does a particular solutio of the liear ohomogeeous recurrece relatio a = 4a 4a + F() have whe F() =? As: p 0 53 What form does a particular solutio of the liear ohomogeeous recurrece relatio a = 4a 4a + F() have whe F() =? As: (p + p 0 ) 54 What form does a particular solutio of the liear ohomogeeous recurrece relatio a = 4a 4a + F() have whe F() = 4? As: (p + p + p 0 )4 55 What form does a particular solutio of the liear ohomogeeous recurrece relatio a = 4a 4a + F() have whe F() = ( + )? As: p + p+ p ( ) 0 56 Cosider the recurrece relatio a = a + 3 (a) Write the associated homogeeous recurrece relatio (b) Fid the geeral solutio to the associated homogeeous recurrece relatio (c) Fid a particular solutio to the give recurrece relatio (d) Write the geeral solutio to the give recurrece relatio (e) Fid the particular solutio to the give recurrece relatio whe a 0 = As: (a) a = a (b) a = c (c) a = 3 6 (d) a = c (e) a = Page 93

7 57 Cosider the recurrece relatio a = a + (a) Write the associated homogeeous recurrece relatio (b) Fid the geeral solutio to the associated homogeeous recurrece relatio (c) Fid a particular solutio to the give recurrece relatio (d) Write the geeral solutio to the give recurrece relatio (e) Fid the particular solutio to the give recurrece relatio whe a 0 = As: (a) a = a (b) a = c( ) (c) a = + 4 (d) a 4 ( ) = + + c (e) 3 a ( = ) 58 Cosider the recurrece relatio a = 3a + 5 (a) Write the associated homogeeous recurrece relatio (b) Fid the geeral golutio to the associated homogeeous recurrece relatio (c) Fid a particular solutio to the give recurrece relatio (d) Write the geeral solutio to the give recurrece relatio (e) Fid the particular solutio to the give recurrece relatio whe a 0 = As: (a) a = 3a (b) a = c3 a 5 3 = + + (c) a + 5 = (d) a + 5 = + c3 (e) 59 Cosider the recurrece relatio a = a + (a) Write the associated homogeeous recurrece relatio (b) Fid the geeral golutio to the associated homogeeous recurrece relatio (c) Fid a particular solutio to the give recurrece relatio (d) Write the geeral solutio to the give recurrece relatio (e) Fid the particular solutio to the give recurrece relatio whe a 0 = As: (a) a = a (b) a = c (c) a = (d) a = c (e) a = + 60 Suppose f () = 3 f (/) +, f () = Fid f (8) As: 40 6 Suppose f () = f (/3) +, f () = Fid f (7) As: 79 6 Suppose f () = f (/), f (8) = Fid f () As: /4 63 Suppose f () = f (/) + 3, f (6) = 5 Fid f () As: 5/4 64 Suppose f () = 4 f (/) + +, f () = Fid f (8) As: 6 Page 94

8 65 Use geeratig fuctios to solve a = 3a +, a 0 = 5 As: a = Use geeratig fuctios to solve a = 5a +, a 0 = + 5 As: a = 4 4 Use the followig to aswer questios 67-76: I the questios below write the first seve terms of the sequece determied by the geeratig fuctio 67 (x + 3) As: (a) 9,6,,0,0,0,0 68 ( + x) 5 As:,5,0,0,5,,0 69 ( + x) 9 As:,9,36,84,6,6, x As:,3,9,7,8,43,79 x x As: 0,0,,,,, + x x As:,,,,,, 73 5 As: 5,0,0,0,0,0,0 74 e x + e x As: 0,, 0,,, 0, cosx As: 0,,, 0,, 0,! 4! 6! Page 95

9 76 3 x x x As:,,0,0,,, Use the followig to aswer questios 77-87: I the questios below fid the coefficiet of x 8 i the power series of each of the fuctio 4 77 ( x x ) As: ( x x x ) As: ( x x x x ) As: ( x x x x x ) As: 5 8 ( + x 3 ) As: 0 8 ( x)( x )( x 3 )( x 4 )( x 5 ) As: 3 x As: x 3x As: ( x) As: 9 86 x (+ x) As: 7 6 Page 96

10 87 3x As: 3 4 Use the followig to aswer questios 88-00: I the questios below fid a closed form for the geeratig fuctio for the sequece 88 4,8,6,3,64, 4 As: x 89,0,,0,,0,,0, As: x 90,0,0,,0,0,,0,0,, As: 3 x 9,4,6,8,0,, As: ( x) 9 0,0,0,,,,,0,0,0,0,0,0,0,0,0, 3 3 x + x+ x + x As: ( ) 93,3,4,5,6,7, x As: + = x x x ( ) ( ) 94 0,,,0,,,0,,,0,,,0, As: 3 x x 95,,!, 3!, 4!, 5!, As: e x 96,!, 4!, 6!, 8! As: e Page 97

11 97,,,,,,,, As: + x 98,0,,0,,0,,0,,0,, As: + x ,,,,,, 000,,, As: ( + x) ,, 3,, 50, 0, 0, 0, 3 50 As: 50( + x) 49 0 Set up a geeratig fuctio ad use it to fid the umber of ways i which eleve idetical cois ca be put i three distict evelopes if each evelope has at least two cois i it As: (x + x 3 + x 4 + ) 3, 0 Set up a geeratig fuctio ad use it to fid the umber of ways i which eleve idetical cois ca be put i three distict evelopes if each evelope has most six cois i it As: ( + x + x + + x 6 ) 3, Set up a geeratig fuctio ad use it to fid the umber of ways i which eleve idetical cois ca be put i three distict evelopes if o evelope is empty As: (x + x + x 3 + ) 3, Set up a geeratig fuctio ad use it to fid the umber of ways i which eleve idetical cois ca be put i three distict evelopes if each evelope has a eve umber of cois i it As: ( + x + x 4 + x 6 + ) 3, 0 05 Set up a geeratig fuctio ad use it to fid the umber of ways i which eleve idetical cois ca be put i three distict evelopes if each evelope has at least two but o more tha five cois i it As: (x + x 3 + x 4 + x 5 ) 3, Page 98

12 06 Set up a geeratig fuctio ad use it to fid the umber of ways i which eleve idetical cois ca be put i three distict evelopes (labeled A, B, C) if evelope A has at least three cois i it As: (x 3 + x 4 + x 5 + x 6 + )( + x + x + x 3 + ), Set up a geeratig fuctio ad use it to fid the umber of ways i which eleve idetical cois ca be put i three distict evelopes (labeled A, B, C) evelopes A ad B have the same umber of cois i them As: ( + x + x 4 + x 6 + x 8 + x 0 )( + x + x + x 3 + ), 6 08 Set up a geeratig fuctio ad use it to fid the umber of ways i which ie idetical blocks ca be give to four childre if each child gets at least oe block As: (x + x + x 3 + ) 4, Set up a geeratig fuctio ad use it to fid the umber of ways i which ie idetical blocks ca be give to four childre, if each child gets at least two blocks As: (x + x 3 + x 4 + ) 4, 4 0 Set up a geeratig fuctio ad use it to fid the umber of ways i which ie idetical blocks ca be give to four childre, if each child gets at most five blocks As: ( + x + x + x 3 + x 4 + x 5 ) 4, 40 Set up a geeratig fuctio ad use it to fid the umber of ways i which ie idetical blocks ca be give to four childre, if the oldest child gets three blocks As: x 3 ( + x + x + x 3 + ) 3, 8 Set up a geeratig fuctio ad use it to fid the umber of ways i which ie idetical blocks ca be give to four childre, if the oldest child gets at most three blocks As: ( + x + x + x 3 )( + x + x + x 3 + ) 3, 64 3 Set up a geeratig fuctio ad use it to fid the umber of ways i which ie idetical blocks ca be give to four childre, if the oldest child gets either or 3 blocks As: (x + x 3 )( + x + x + x 3 + ) 3, 64 4 If G(x) is the geeratig fuctio for a 0,a,a,a 3,, describe i terms of G(x) the geeratig fuctio for 0,0,0,a 0,a,a, As: x 3 G(x) 5 If G(x) is the geeratig fuctio for a 0,a,a,a 3,, describe i terms of G(x) the geeratig fuctio for 0,0,0,a 3,a 4,a 5, As: G(x) a 0 a x a x Page 99

13 6 If G(x) is the geeratig fuctio for a 0,a,a,a 3,, describe i terms of G(x) the geeratig fuctio for a 3,a 4,a 5,a 6, As: ( Gx ( ) a0 ax ax ) 3 x 7 If G(x) is the geeratig fuctio for a 0,a,a,a 3,, describe i terms of G(x) the geeratig fuctio for a 0,0,a,0,a,0,a 3,0,a 4, As: G(x ) 8 If G(x) is the geeratig fuctio for a 0,a,a,a 3,, describe i terms of G(x) the geeratig fuctio for a 0,3a,9a,7a 3,8a 4, As: G(3x) 9 If G(x) is the geeratig fuctio for a 0,a,a,a 3,, describe i terms of G(x) the geeratig fuctio for a 0,0,0,a,0,0,a,0,0,a 3, As: G(x 3 ) 0 If G(x) is the geeratig fuctio for a 0,a,a,a 3,, describe i terms of G(x) the geeratig fuctio for 5,a,0,a 3,a 4,a 5, As: G(x) a 0 a x + 5 Use geeratig fuctios to solve a = 5a + 3, a 0 = 3 As: a = Use geeratig fuctios to solve a = 7a 0a, a 0 =, a = 4 As: a = Use geeratig fuctios to solve a = 3a + + 5, a 0 = + 5 As: a = 3 4 Fid A A A 3 A 4 if each set A i has 00 elemets, each itersectio of two sets has 60 elemets, each itersectio of three sets has 0 elemets, ad there are 0 elemets i all four sets As: 0 5 Fid A A A 3 A 4 if each set A i has 50 elemets, each itersectio of two sets has 80 elemets, each itersectio of three sets has 0 elemets, ad there are o elemets i all four sets As: 00 6 Fid the umber of terms i the formula for the umber of elemets i the uio of four sets give by the priciple of iclusio-exclusio As: 5 Page 00

14 7 Fid the umber of positive itegers 000 that are multiples of at least oe of 3,5, As: 55 8 Fid the umber of positive itegers 000 that are multiples of at least oe of,6, As: Fid the umber of positive itegers 000 that are multiples of at least oe of 3,4, As: Suppose A = B = C = 00, A B = 60, A C = 50, B C = 40, ad A B C = 75 How may elemets are i A B C? As: 5 3 How may positive itegers ot exceedig 000 are ot divisible by either 4 or 6? As: A doughut shop sells 0 kids of doughuts You wat to buy 30 doughuts How may possibilities are there if you wat at most six of ay oe kid? As: 33 A doughut shop sells 0 kids of doughuts You wat to buy 30 doughuts How may possibilities are there if you wat at most of ay oe kid? As: A market sells te kids of soda You wat to buy bottles How may possibilities are there? if you wat (a) at least oe of each kid (b) at most seve bottles of ay kid? As: (a) (b) A market sells te kids of soda You wat to buy bottles How may possibilities are there? if you wat at most three bottles of ay kid? As: 36 Suppose you have 00 idetical marbles ad five jars (labeled A, B, C, D, E) I how may ways ca you put the marbles i the jars if: (a) each jar has at least six marbles i it? (b) each jar has at most forty marbles i it? As: (a) 74 (b) 4 Page 0

15 37 How may ways are there to choose five douts if there are eight varieties ad oly the type of each dout matters? As: 7 38 A market sells 40 kids of cady bars You wat to buy 5 cady bars (a) How may possibilities are there? (b) How may possibilities are there if you wat at least three peaut butter bars ad at least five almod bars? (c) How may possibilities are there if you wat exactly three peaut butter bars ad exactly five almod bars? (d) How may possibilities are there if you wat at most four toffee bars ad at most six mit bars? As: (a) 54 (b) 46 (c) 44 (d) How may permutatios of all 6 letters of the alphabet are there that cotai at least oe of the words DOG, BIG, OIL? As: 4! 3 40 How may permutatios of all 6 letters of the alphabet are there that cotai at least oe of the words CART, SHOW, LIKE? As: 3 3! 3 0! + 7! 4 How may permutatios of all 6 letters of the alphabet are there that cotai at least oe of the words SWORD, PLANT, CARTS? As: 3! 8! 4 How may permutatios of all 6 letters of the alphabet are there that cotai oe of the words: SAVE, PLAY, SNOW? As: 6! 3 3! + 0! 43 How may permutatios of all 6 letters of the alphabet are there that cotai at least oe of the words: CAR, CARE, SCAR, SCARE? As: 4! 44 How may permutatios of the 6 letters of the alphabet are there that do ot cotai ay of the followig strigs: LOP, SLOP, SLOPE, LOPE As: 6! 4! 45 You have te cards, umbered through 0 I how may ways ca you put the te cards i a row so that card i is ot i spot i, for i =,,,0? As: D = 0! 0 9!+ 0 8! 0 7!++ 0 0! Page 0

16 46 Suppose A = 8 ad B = 4 Fid the umber of fuctios f : A B that are oto B 8 As: A office maager has four employees ad ie reports to be doe I how may ways ca the reports be assiged to the employees so that each employee has at least oe report to do 9 As: A office maager has five employees ad projects to be completed I how may ways ca the projects be assiged to the employees so that each employee works o at least oe project As: Fid the umber of ways to put eight differet books i five boxes, if o box is allowed to be empty 8 As: Fid the umber of bit strigs of legth eight that cotai a pair of cosecutive 0s As: a = a + a +, a = 0, a = Hece a 8 = 0 5 Fid the umber of ways to climb a -step staircase, if you go up either oe or three steps at a time As: a = a + a 3, a = a =, a 3 = Hece a = 60 5 Fid the umber of strigs of 0s, s, ad s of legth six that have o cosecutive 0s As: a = a + a, a = 3, a = 8 Hece, a 6 = 448 Page 03

Soving Recurrence Relations

Soving Recurrence Relations Sovig Recurrece Relatios Part 1. Homogeeous liear 2d degree relatios with costat coefficiets. Cosider the recurrece relatio ( ) T () + at ( 1) + bt ( 2) = 0 This is called a homogeeous liear 2d degree

More information

CS103X: Discrete Structures Homework 4 Solutions

CS103X: Discrete Structures Homework 4 Solutions CS103X: Discrete Structures Homewor 4 Solutios Due February 22, 2008 Exercise 1 10 poits. Silico Valley questios: a How may possible six-figure salaries i whole dollar amouts are there that cotai at least

More information

In nite Sequences. Dr. Philippe B. Laval Kennesaw State University. October 9, 2008

In nite Sequences. Dr. Philippe B. Laval Kennesaw State University. October 9, 2008 I ite Sequeces Dr. Philippe B. Laval Keesaw State Uiversity October 9, 2008 Abstract This had out is a itroductio to i ite sequeces. mai de itios ad presets some elemetary results. It gives the I ite Sequeces

More information

Infinite Sequences and Series

Infinite Sequences and Series CHAPTER 4 Ifiite Sequeces ad Series 4.1. Sequeces A sequece is a ifiite ordered list of umbers, for example the sequece of odd positive itegers: 1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29...

More information

S. Tanny MAT 344 Spring 1999. be the minimum number of moves required.

S. Tanny MAT 344 Spring 1999. be the minimum number of moves required. S. Tay MAT 344 Sprig 999 Recurrece Relatios Tower of Haoi Let T be the miimum umber of moves required. T 0 = 0, T = 7 Iitial Coditios * T = T + $ T is a sequece (f. o itegers). Solve for T? * is a recurrece,

More information

CS103A Handout 23 Winter 2002 February 22, 2002 Solving Recurrence Relations

CS103A Handout 23 Winter 2002 February 22, 2002 Solving Recurrence Relations CS3A Hadout 3 Witer 00 February, 00 Solvig Recurrece Relatios Itroductio A wide variety of recurrece problems occur i models. Some of these recurrece relatios ca be solved usig iteratio or some other ad

More information

5.3. Generalized Permutations and Combinations

5.3. Generalized Permutations and Combinations 53 GENERALIZED PERMUTATIONS AND COMBINATIONS 73 53 Geeralized Permutatios ad Combiatios 53 Permutatios with Repeated Elemets Assume that we have a alphabet with letters ad we wat to write all possible

More information

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES Read Sectio 1.5 (pages 5 9) Overview I Sectio 1.5 we lear to work with summatio otatio ad formulas. We will also itroduce a brief overview of sequeces,

More information

Solutions to Exercises Chapter 4: Recurrence relations and generating functions

Solutions to Exercises Chapter 4: Recurrence relations and generating functions Solutios to Exercises Chapter 4: Recurrece relatios ad geeratig fuctios 1 (a) There are seatig positios arraged i a lie. Prove that the umber of ways of choosig a subset of these positios, with o two chose

More information

1. MATHEMATICAL INDUCTION

1. MATHEMATICAL INDUCTION 1. MATHEMATICAL INDUCTION EXAMPLE 1: Prove that for ay iteger 1. Proof: 1 + 2 + 3 +... + ( + 1 2 (1.1 STEP 1: For 1 (1.1 is true, sice 1 1(1 + 1. 2 STEP 2: Suppose (1.1 is true for some k 1, that is 1

More information

FIBONACCI NUMBERS: AN APPLICATION OF LINEAR ALGEBRA. 1. Powers of a matrix

FIBONACCI NUMBERS: AN APPLICATION OF LINEAR ALGEBRA. 1. Powers of a matrix FIBONACCI NUMBERS: AN APPLICATION OF LINEAR ALGEBRA. Powers of a matrix We begi with a propositio which illustrates the usefuless of the diagoalizatio. Recall that a square matrix A is diogaalizable if

More information

CHAPTER 11 Financial mathematics

CHAPTER 11 Financial mathematics CHAPTER 11 Fiacial mathematics I this chapter you will: Calculate iterest usig the simple iterest formula ( ) Use the simple iterest formula to calculate the pricipal (P) Use the simple iterest formula

More information

.04. This means $1000 is multiplied by 1.02 five times, once for each of the remaining sixmonth

.04. This means $1000 is multiplied by 1.02 five times, once for each of the remaining sixmonth Questio 1: What is a ordiary auity? Let s look at a ordiary auity that is certai ad simple. By this, we mea a auity over a fixed term whose paymet period matches the iterest coversio period. Additioally,

More information

Listing terms of a finite sequence List all of the terms of each finite sequence. a) a n n 2 for 1 n 5 1 b) a n for 1 n 4 n 2

Listing terms of a finite sequence List all of the terms of each finite sequence. a) a n n 2 for 1 n 5 1 b) a n for 1 n 4 n 2 74 (4 ) Chapter 4 Sequeces ad Series 4. SEQUENCES I this sectio Defiitio Fidig a Formula for the th Term The word sequece is a familiar word. We may speak of a sequece of evets or say that somethig is

More information

5.4 Amortization. Question 1: How do you find the present value of an annuity? Question 2: How is a loan amortized?

5.4 Amortization. Question 1: How do you find the present value of an annuity? Question 2: How is a loan amortized? 5.4 Amortizatio Questio 1: How do you fid the preset value of a auity? Questio 2: How is a loa amortized? Questio 3: How do you make a amortizatio table? Oe of the most commo fiacial istrumets a perso

More information

Notes on exponential generating functions and structures.

Notes on exponential generating functions and structures. Notes o expoetial geeratig fuctios ad structures. 1. The cocept of a structure. Cosider the followig coutig problems: (1) to fid for each the umber of partitios of a -elemet set, (2) to fid for each the

More information

BINOMIAL EXPANSIONS 12.5. In this section. Some Examples. Obtaining the Coefficients

BINOMIAL EXPANSIONS 12.5. In this section. Some Examples. Obtaining the Coefficients 652 (12-26) Chapter 12 Sequeces ad Series 12.5 BINOMIAL EXPANSIONS I this sectio Some Examples Otaiig the Coefficiets The Biomial Theorem I Chapter 5 you leared how to square a iomial. I this sectio you

More information

Basic Elements of Arithmetic Sequences and Series

Basic Elements of Arithmetic Sequences and Series MA40S PRE-CALCULUS UNIT G GEOMETRIC SEQUENCES CLASS NOTES (COMPLETED NO NEED TO COPY NOTES FROM OVERHEAD) Basic Elemets of Arithmetic Sequeces ad Series Objective: To establish basic elemets of arithmetic

More information

Department of Computer Science, University of Otago

Department of Computer Science, University of Otago Departmet of Computer Sciece, Uiversity of Otago Techical Report OUCS-2006-09 Permutatios Cotaiig May Patters Authors: M.H. Albert Departmet of Computer Sciece, Uiversity of Otago Micah Colema, Rya Fly

More information

1 Correlation and Regression Analysis

1 Correlation and Regression Analysis 1 Correlatio ad Regressio Aalysis I this sectio we will be ivestigatig the relatioship betwee two cotiuous variable, such as height ad weight, the cocetratio of a ijected drug ad heart rate, or the cosumptio

More information

3. Greatest Common Divisor - Least Common Multiple

3. Greatest Common Divisor - Least Common Multiple 3 Greatest Commo Divisor - Least Commo Multiple Defiitio 31: The greatest commo divisor of two atural umbers a ad b is the largest atural umber c which divides both a ad b We deote the greatest commo gcd

More information

SAMPLE QUESTIONS FOR FINAL EXAM. (1) (2) (3) (4) Find the following using the definition of the Riemann integral: (2x + 1)dx

SAMPLE QUESTIONS FOR FINAL EXAM. (1) (2) (3) (4) Find the following using the definition of the Riemann integral: (2x + 1)dx SAMPLE QUESTIONS FOR FINAL EXAM REAL ANALYSIS I FALL 006 3 4 Fid the followig usig the defiitio of the Riema itegral: a 0 x + dx 3 Cosider the partitio P x 0 3, x 3 +, x 3 +,......, x 3 3 + 3 of the iterval

More information

Here are a couple of warnings to my students who may be here to get a copy of what happened on a day that you missed.

Here are a couple of warnings to my students who may be here to get a copy of what happened on a day that you missed. This documet was writte ad copyrighted by Paul Dawkis. Use of this documet ad its olie versio is govered by the Terms ad Coditios of Use located at http://tutorial.math.lamar.edu/terms.asp. The olie versio

More information

NATIONAL SENIOR CERTIFICATE GRADE 12

NATIONAL SENIOR CERTIFICATE GRADE 12 NATIONAL SENIOR CERTIFICATE GRADE MATHEMATICS P EXEMPLAR 04 MARKS: 50 TIME: 3 hours This questio paper cosists of 8 pages ad iformatio sheet. Please tur over Mathematics/P DBE/04 NSC Grade Eemplar INSTRUCTIONS

More information

2 Time Value of Money

2 Time Value of Money 2 Time Value of Moey BASIC CONCEPTS AND FORMULAE 1. Time Value of Moey It meas moey has time value. A rupee today is more valuable tha a rupee a year hece. We use rate of iterest to express the time value

More information

Elementary Theory of Russian Roulette

Elementary Theory of Russian Roulette Elemetary Theory of Russia Roulette -iterestig patters of fractios- Satoshi Hashiba Daisuke Miematsu Ryohei Miyadera Itroductio. Today we are goig to study mathematical theory of Russia roulette. If some

More information

AP Calculus AB 2006 Scoring Guidelines Form B

AP Calculus AB 2006 Scoring Guidelines Form B AP Calculus AB 6 Scorig Guidelies Form B The College Board: Coectig Studets to College Success The College Board is a ot-for-profit membership associatio whose missio is to coect studets to college success

More information

How To Solve The Homewor Problem Beautifully

How To Solve The Homewor Problem Beautifully Egieerig 33 eautiful Homewor et 3 of 7 Kuszmar roblem.5.5 large departmet store sells sport shirts i three sizes small, medium, ad large, three patters plaid, prit, ad stripe, ad two sleeve legths log

More information

Present Value Factor To bring one dollar in the future back to present, one uses the Present Value Factor (PVF): Concept 9: Present Value

Present Value Factor To bring one dollar in the future back to present, one uses the Present Value Factor (PVF): Concept 9: Present Value Cocept 9: Preset Value Is the value of a dollar received today the same as received a year from today? A dollar today is worth more tha a dollar tomorrow because of iflatio, opportuity cost, ad risk Brigig

More information

Chapter 5 Unit 1. IET 350 Engineering Economics. Learning Objectives Chapter 5. Learning Objectives Unit 1. Annual Amount and Gradient Functions

Chapter 5 Unit 1. IET 350 Engineering Economics. Learning Objectives Chapter 5. Learning Objectives Unit 1. Annual Amount and Gradient Functions Chapter 5 Uit Aual Amout ad Gradiet Fuctios IET 350 Egieerig Ecoomics Learig Objectives Chapter 5 Upo completio of this chapter you should uderstad: Calculatig future values from aual amouts. Calculatig

More information

1 Computing the Standard Deviation of Sample Means

1 Computing the Standard Deviation of Sample Means Computig the Stadard Deviatio of Sample Meas Quality cotrol charts are based o sample meas ot o idividual values withi a sample. A sample is a group of items, which are cosidered all together for our aalysis.

More information

SEQUENCES AND SERIES

SEQUENCES AND SERIES Chapter 9 SEQUENCES AND SERIES Natural umbers are the product of huma spirit. DEDEKIND 9.1 Itroductio I mathematics, the word, sequece is used i much the same way as it is i ordiary Eglish. Whe we say

More information

2-3 The Remainder and Factor Theorems

2-3 The Remainder and Factor Theorems - The Remaider ad Factor Theorems Factor each polyomial completely usig the give factor ad log divisio 1 x + x x 60; x + So, x + x x 60 = (x + )(x x 15) Factorig the quadratic expressio yields x + x x

More information

Chapter 6: Variance, the law of large numbers and the Monte-Carlo method

Chapter 6: Variance, the law of large numbers and the Monte-Carlo method Chapter 6: Variace, the law of large umbers ad the Mote-Carlo method Expected value, variace, ad Chebyshev iequality. If X is a radom variable recall that the expected value of X, E[X] is the average value

More information

Chapter 5: Inner Product Spaces

Chapter 5: Inner Product Spaces Chapter 5: Ier Product Spaces Chapter 5: Ier Product Spaces SECION A Itroductio to Ier Product Spaces By the ed of this sectio you will be able to uderstad what is meat by a ier product space give examples

More information

5 Boolean Decision Trees (February 11)

5 Boolean Decision Trees (February 11) 5 Boolea Decisio Trees (February 11) 5.1 Graph Coectivity Suppose we are give a udirected graph G, represeted as a boolea adjacecy matrix = (a ij ), where a ij = 1 if ad oly if vertices i ad j are coected

More information

Section 11.3: The Integral Test

Section 11.3: The Integral Test Sectio.3: The Itegral Test Most of the series we have looked at have either diverged or have coverged ad we have bee able to fid what they coverge to. I geeral however, the problem is much more difficult

More information

WHEN IS THE (CO)SINE OF A RATIONAL ANGLE EQUAL TO A RATIONAL NUMBER?

WHEN IS THE (CO)SINE OF A RATIONAL ANGLE EQUAL TO A RATIONAL NUMBER? WHEN IS THE (CO)SINE OF A RATIONAL ANGLE EQUAL TO A RATIONAL NUMBER? JÖRG JAHNEL 1. My Motivatio Some Sort of a Itroductio Last term I tought Topological Groups at the Göttige Georg August Uiversity. This

More information

Repeating Decimals are decimal numbers that have number(s) after the decimal point that repeat in a pattern.

Repeating Decimals are decimal numbers that have number(s) after the decimal point that repeat in a pattern. 5.5 Fractios ad Decimals Steps for Chagig a Fractio to a Decimal. Simplify the fractio, if possible. 2. Divide the umerator by the deomiator. d d Repeatig Decimals Repeatig Decimals are decimal umbers

More information

Determining the sample size

Determining the sample size Determiig the sample size Oe of the most commo questios ay statisticia gets asked is How large a sample size do I eed? Researchers are ofte surprised to fid out that the aswer depeds o a umber of factors

More information

Our aim is to show that under reasonable assumptions a given 2π-periodic function f can be represented as convergent series

Our aim is to show that under reasonable assumptions a given 2π-periodic function f can be represented as convergent series 8 Fourier Series Our aim is to show that uder reasoable assumptios a give -periodic fuctio f ca be represeted as coverget series f(x) = a + (a cos x + b si x). (8.) By defiitio, the covergece of the series

More information

Solving Logarithms and Exponential Equations

Solving Logarithms and Exponential Equations Solvig Logarithms ad Epoetial Equatios Logarithmic Equatios There are two major ideas required whe solvig Logarithmic Equatios. The first is the Defiitio of a Logarithm. You may recall from a earlier topic:

More information

Lecture 4: Cauchy sequences, Bolzano-Weierstrass, and the Squeeze theorem

Lecture 4: Cauchy sequences, Bolzano-Weierstrass, and the Squeeze theorem Lecture 4: Cauchy sequeces, Bolzao-Weierstrass, ad the Squeeze theorem The purpose of this lecture is more modest tha the previous oes. It is to state certai coditios uder which we are guarateed that limits

More information

SEQUENCES AND SERIES CHAPTER

SEQUENCES AND SERIES CHAPTER CHAPTER SEQUENCES AND SERIES Whe the Grat family purchased a computer for $,200 o a istallmet pla, they agreed to pay $00 each moth util the cost of the computer plus iterest had bee paid The iterest each

More information

CHAPTER 3 THE TIME VALUE OF MONEY

CHAPTER 3 THE TIME VALUE OF MONEY CHAPTER 3 THE TIME VALUE OF MONEY OVERVIEW A dollar i the had today is worth more tha a dollar to be received i the future because, if you had it ow, you could ivest that dollar ad ear iterest. Of all

More information

MATHEMATICS P1 COMMON TEST JUNE 2014 NATIONAL SENIOR CERTIFICATE GRADE 12

MATHEMATICS P1 COMMON TEST JUNE 2014 NATIONAL SENIOR CERTIFICATE GRADE 12 Mathematics/P1 1 Jue 014 Commo Test MATHEMATICS P1 COMMON TEST JUNE 014 NATIONAL SENIOR CERTIFICATE GRADE 1 Marks: 15 Time: ½ hours N.B: This questio paper cosists of 7 pages ad 1 iformatio sheet. Please

More information

Hypergeometric Distributions

Hypergeometric Distributions 7.4 Hypergeometric Distributios Whe choosig the startig lie-up for a game, a coach obviously has to choose a differet player for each positio. Similarly, whe a uio elects delegates for a covetio or you

More information

Trigonometric Form of a Complex Number. The Complex Plane. axis. ( 2, 1) or 2 i FIGURE 6.44. The absolute value of the complex number z a bi is

Trigonometric Form of a Complex Number. The Complex Plane. axis. ( 2, 1) or 2 i FIGURE 6.44. The absolute value of the complex number z a bi is 0_0605.qxd /5/05 0:45 AM Page 470 470 Chapter 6 Additioal Topics i Trigoometry 6.5 Trigoometric Form of a Complex Number What you should lear Plot complex umbers i the complex plae ad fid absolute values

More information

MATH 083 Final Exam Review

MATH 083 Final Exam Review MATH 08 Fial Eam Review Completig the problems i this review will greatly prepare you for the fial eam Calculator use is ot required, but you are permitted to use a calculator durig the fial eam period

More information

Sequences and Series

Sequences and Series CHAPTER 9 Sequeces ad Series 9.. Covergece: Defiitio ad Examples Sequeces The purpose of this chapter is to itroduce a particular way of geeratig algorithms for fidig the values of fuctios defied by their

More information

Section 8.3 : De Moivre s Theorem and Applications

Section 8.3 : De Moivre s Theorem and Applications The Sectio 8 : De Moivre s Theorem ad Applicatios Let z 1 ad z be complex umbers, where z 1 = r 1, z = r, arg(z 1 ) = θ 1, arg(z ) = θ z 1 = r 1 (cos θ 1 + i si θ 1 ) z = r (cos θ + i si θ ) ad z 1 z =

More information

Notes on Combinatorics. Peter J. Cameron

Notes on Combinatorics. Peter J. Cameron Notes o Combiatorics Peter J Camero ii Preface: What is Combiatorics? Combiatorics, the mathematics of patters,, helps us desig computer etwors, crac security codes, or solve sudous Ursula Marti, Vice-Pricipal

More information

UC Berkeley Department of Electrical Engineering and Computer Science. EE 126: Probablity and Random Processes. Solutions 9 Spring 2006

UC Berkeley Department of Electrical Engineering and Computer Science. EE 126: Probablity and Random Processes. Solutions 9 Spring 2006 Exam format UC Bereley Departmet of Electrical Egieerig ad Computer Sciece EE 6: Probablity ad Radom Processes Solutios 9 Sprig 006 The secod midterm will be held o Wedesday May 7; CHECK the fial exam

More information

Week 3 Conditional probabilities, Bayes formula, WEEK 3 page 1 Expected value of a random variable

Week 3 Conditional probabilities, Bayes formula, WEEK 3 page 1 Expected value of a random variable Week 3 Coditioal probabilities, Bayes formula, WEEK 3 page 1 Expected value of a radom variable We recall our discussio of 5 card poker hads. Example 13 : a) What is the probability of evet A that a 5

More information

Permutations, the Parity Theorem, and Determinants

Permutations, the Parity Theorem, and Determinants 1 Permutatios, the Parity Theorem, ad Determiats Joh A. Guber Departmet of Electrical ad Computer Egieerig Uiversity of Wiscosi Madiso Cotets 1 What is a Permutatio 1 2 Cycles 2 2.1 Traspositios 4 3 Orbits

More information

7.1 Finding Rational Solutions of Polynomial Equations

7.1 Finding Rational Solutions of Polynomial Equations 4 Locker LESSON 7. Fidig Ratioal Solutios of Polyomial Equatios Name Class Date 7. Fidig Ratioal Solutios of Polyomial Equatios Essetial Questio: How do you fid the ratioal roots of a polyomial equatio?

More information

Example 2 Find the square root of 0. The only square root of 0 is 0 (since 0 is not positive or negative, so those choices don t exist here).

Example 2 Find the square root of 0. The only square root of 0 is 0 (since 0 is not positive or negative, so those choices don t exist here). BEGINNING ALGEBRA Roots ad Radicals (revised summer, 00 Olso) Packet to Supplemet the Curret Textbook - Part Review of Square Roots & Irratioals (This portio ca be ay time before Part ad should mostly

More information

The Stable Marriage Problem

The Stable Marriage Problem The Stable Marriage Problem William Hut Lae Departmet of Computer Sciece ad Electrical Egieerig, West Virgiia Uiversity, Morgatow, WV William.Hut@mail.wvu.edu 1 Itroductio Imagie you are a matchmaker,

More information

*The most important feature of MRP as compared with ordinary inventory control analysis is its time phasing feature.

*The most important feature of MRP as compared with ordinary inventory control analysis is its time phasing feature. Itegrated Productio ad Ivetory Cotrol System MRP ad MRP II Framework of Maufacturig System Ivetory cotrol, productio schedulig, capacity plaig ad fiacial ad busiess decisios i a productio system are iterrelated.

More information

FM4 CREDIT AND BORROWING

FM4 CREDIT AND BORROWING FM4 CREDIT AND BORROWING Whe you purchase big ticket items such as cars, boats, televisios ad the like, retailers ad fiacial istitutios have various terms ad coditios that are implemeted for the cosumer

More information

Overview on S-Box Design Principles

Overview on S-Box Design Principles Overview o S-Box Desig Priciples Debdeep Mukhopadhyay Assistat Professor Departmet of Computer Sciece ad Egieerig Idia Istitute of Techology Kharagpur INDIA -721302 What is a S-Box? S-Boxes are Boolea

More information

Part - I. Mathematics

Part - I. Mathematics Part - I Mathematics CHAPTER Set Theory. Objectives. Itroductio. Set Cocept.. Sets ad Elemets. Subset.. Proper ad Improper Subsets.. Equality of Sets.. Trasitivity of Set Iclusio.4 Uiversal Set.5 Complemet

More information

Question 2: How is a loan amortized?

Question 2: How is a loan amortized? Questio 2: How is a loa amortized? Decreasig auities may be used i auto or home loas. I these types of loas, some amout of moey is borrowed. Fixed paymets are made to pay off the loa as well as ay accrued

More information

BENEFIT-COST ANALYSIS Financial and Economic Appraisal using Spreadsheets

BENEFIT-COST ANALYSIS Financial and Economic Appraisal using Spreadsheets BENEIT-CST ANALYSIS iacial ad Ecoomic Appraisal usig Spreadsheets Ch. 2: Ivestmet Appraisal - Priciples Harry Campbell & Richard Brow School of Ecoomics The Uiversity of Queeslad Review of basic cocepts

More information

I. Why is there a time value to money (TVM)?

I. Why is there a time value to money (TVM)? Itroductio to the Time Value of Moey Lecture Outlie I. Why is there the cocept of time value? II. Sigle cash flows over multiple periods III. Groups of cash flows IV. Warigs o doig time value calculatios

More information

1. C. The formula for the confidence interval for a population mean is: x t, which was

1. C. The formula for the confidence interval for a population mean is: x t, which was s 1. C. The formula for the cofidece iterval for a populatio mea is: x t, which was based o the sample Mea. So, x is guarateed to be i the iterval you form.. D. Use the rule : p-value

More information

Analysis Notes (only a draft, and the first one!)

Analysis Notes (only a draft, and the first one!) Aalysis Notes (oly a draft, ad the first oe!) Ali Nesi Mathematics Departmet Istabul Bilgi Uiversity Kuştepe Şişli Istabul Turkey aesi@bilgi.edu.tr Jue 22, 2004 2 Cotets 1 Prelimiaries 9 1.1 Biary Operatio...........................

More information

THE REGRESSION MODEL IN MATRIX FORM. For simple linear regression, meaning one predictor, the model is. for i = 1, 2, 3,, n

THE REGRESSION MODEL IN MATRIX FORM. For simple linear regression, meaning one predictor, the model is. for i = 1, 2, 3,, n We will cosider the liear regressio model i matrix form. For simple liear regressio, meaig oe predictor, the model is i = + x i + ε i for i =,,,, This model icludes the assumptio that the ε i s are a sample

More information

Multiple Representations for Pattern Exploration with the Graphing Calculator and Manipulatives

Multiple Representations for Pattern Exploration with the Graphing Calculator and Manipulatives Douglas A. Lapp Multiple Represetatios for Patter Exploratio with the Graphig Calculator ad Maipulatives To teach mathematics as a coected system of cocepts, we must have a shift i emphasis from a curriculum

More information

Chapter 5 O A Cojecture Of Erdíos Proceedigs NCUR VIII è1994è, Vol II, pp 794í798 Jeærey F Gold Departmet of Mathematics, Departmet of Physics Uiversity of Utah Do H Tucker Departmet of Mathematics Uiversity

More information

Asymptotic Growth of Functions

Asymptotic Growth of Functions CMPS Itroductio to Aalysis of Algorithms Fall 3 Asymptotic Growth of Fuctios We itroduce several types of asymptotic otatio which are used to compare the performace ad efficiecy of algorithms As we ll

More information

Discrete Mathematics and Probability Theory Spring 2014 Anant Sahai Note 13

Discrete Mathematics and Probability Theory Spring 2014 Anant Sahai Note 13 EECS 70 Discrete Mathematics ad Probability Theory Sprig 2014 Aat Sahai Note 13 Itroductio At this poit, we have see eough examples that it is worth just takig stock of our model of probability ad may

More information

Learning objectives. Duc K. Nguyen - Corporate Finance 21/10/2014

Learning objectives. Duc K. Nguyen - Corporate Finance 21/10/2014 1 Lecture 3 Time Value of Moey ad Project Valuatio The timelie Three rules of time travels NPV of a stream of cash flows Perpetuities, auities ad other special cases Learig objectives 2 Uderstad the time-value

More information

Time Value of Money, NPV and IRR equation solving with the TI-86

Time Value of Money, NPV and IRR equation solving with the TI-86 Time Value of Moey NPV ad IRR Equatio Solvig with the TI-86 (may work with TI-85) (similar process works with TI-83, TI-83 Plus ad may work with TI-82) Time Value of Moey, NPV ad IRR equatio solvig with

More information

Heat (or Diffusion) equation in 1D*

Heat (or Diffusion) equation in 1D* Heat (or Diffusio) equatio i D* Derivatio of the D heat equatio Separatio of variables (refresher) Worked eamples *Kreysig, 8 th Ed, Sectios.4b Physical assumptios We cosider temperature i a log thi wire

More information

University of California, Los Angeles Department of Statistics. Distributions related to the normal distribution

University of California, Los Angeles Department of Statistics. Distributions related to the normal distribution Uiversity of Califoria, Los Ageles Departmet of Statistics Statistics 100B Istructor: Nicolas Christou Three importat distributios: Distributios related to the ormal distributio Chi-square (χ ) distributio.

More information

Building Blocks Problem Related to Harmonic Series

Building Blocks Problem Related to Harmonic Series TMME, vol3, o, p.76 Buildig Blocks Problem Related to Harmoic Series Yutaka Nishiyama Osaka Uiversity of Ecoomics, Japa Abstract: I this discussio I give a eplaatio of the divergece ad covergece of ifiite

More information

PERMUTATIONS AND COMBINATIONS

PERMUTATIONS AND COMBINATIONS Chapter 7 PERMUTATIONS AND COMBINATIONS Every body of discovery is mathematical i form because there is o other guidace we ca have DARWIN 7.1 Itroductio Suppose you have a suitcase with a umber lock. The

More information

CHAPTER 7: Central Limit Theorem: CLT for Averages (Means)

CHAPTER 7: Central Limit Theorem: CLT for Averages (Means) CHAPTER 7: Cetral Limit Theorem: CLT for Averages (Meas) X = the umber obtaied whe rollig oe six sided die oce. If we roll a six sided die oce, the mea of the probability distributio is X P(X = x) Simulatio:

More information

Definition. A variable X that takes on values X 1, X 2, X 3,...X k with respective frequencies f 1, f 2, f 3,...f k has mean

Definition. A variable X that takes on values X 1, X 2, X 3,...X k with respective frequencies f 1, f 2, f 3,...f k has mean 1 Social Studies 201 October 13, 2004 Note: The examples i these otes may be differet tha used i class. However, the examples are similar ad the methods used are idetical to what was preseted i class.

More information

Partial Di erential Equations

Partial Di erential Equations Partial Di eretial Equatios Partial Di eretial Equatios Much of moder sciece, egieerig, ad mathematics is based o the study of partial di eretial equatios, where a partial di eretial equatio is a equatio

More information

Math C067 Sampling Distributions

Math C067 Sampling Distributions Math C067 Samplig Distributios Sample Mea ad Sample Proportio Richard Beigel Some time betwee April 16, 2007 ad April 16, 2007 Examples of Samplig A pollster may try to estimate the proportio of voters

More information

THE ARITHMETIC OF INTEGERS. - multiplication, exponentiation, division, addition, and subtraction

THE ARITHMETIC OF INTEGERS. - multiplication, exponentiation, division, addition, and subtraction THE ARITHMETIC OF INTEGERS - multiplicatio, expoetiatio, divisio, additio, ad subtractio What to do ad what ot to do. THE INTEGERS Recall that a iteger is oe of the whole umbers, which may be either positive,

More information

5: Introduction to Estimation

5: Introduction to Estimation 5: Itroductio to Estimatio Cotets Acroyms ad symbols... 1 Statistical iferece... Estimatig µ with cofidece... 3 Samplig distributio of the mea... 3 Cofidece Iterval for μ whe σ is kow before had... 4 Sample

More information

Descriptive Statistics

Descriptive Statistics Descriptive Statistics We leared to describe data sets graphically. We ca also describe a data set umerically. Measures of Locatio Defiitio The sample mea is the arithmetic average of values. We deote

More information

MARTINGALES AND A BASIC APPLICATION

MARTINGALES AND A BASIC APPLICATION MARTINGALES AND A BASIC APPLICATION TURNER SMITH Abstract. This paper will develop the measure-theoretic approach to probability i order to preset the defiitio of martigales. From there we will apply this

More information

Chapter 7 Methods of Finding Estimators

Chapter 7 Methods of Finding Estimators Chapter 7 for BST 695: Special Topics i Statistical Theory. Kui Zhag, 011 Chapter 7 Methods of Fidig Estimators Sectio 7.1 Itroductio Defiitio 7.1.1 A poit estimator is ay fuctio W( X) W( X1, X,, X ) of

More information

AP Calculus BC 2003 Scoring Guidelines Form B

AP Calculus BC 2003 Scoring Guidelines Form B AP Calculus BC Scorig Guidelies Form B The materials icluded i these files are iteded for use by AP teachers for course ad exam preparatio; permissio for ay other use must be sought from the Advaced Placemet

More information

Lecture 13. Lecturer: Jonathan Kelner Scribe: Jonathan Pines (2009)

Lecture 13. Lecturer: Jonathan Kelner Scribe: Jonathan Pines (2009) 18.409 A Algorithmist s Toolkit October 27, 2009 Lecture 13 Lecturer: Joatha Keler Scribe: Joatha Pies (2009) 1 Outlie Last time, we proved the Bru-Mikowski iequality for boxes. Today we ll go over the

More information

Approximating Area under a curve with rectangles. To find the area under a curve we approximate the area using rectangles and then use limits to find

Approximating Area under a curve with rectangles. To find the area under a curve we approximate the area using rectangles and then use limits to find 1.8 Approximatig Area uder a curve with rectagles 1.6 To fid the area uder a curve we approximate the area usig rectagles ad the use limits to fid 1.4 the area. Example 1 Suppose we wat to estimate 1.

More information

CME 302: NUMERICAL LINEAR ALGEBRA FALL 2005/06 LECTURE 8

CME 302: NUMERICAL LINEAR ALGEBRA FALL 2005/06 LECTURE 8 CME 30: NUMERICAL LINEAR ALGEBRA FALL 005/06 LECTURE 8 GENE H GOLUB 1 Positive Defiite Matrices A matrix A is positive defiite if x Ax > 0 for all ozero x A positive defiite matrix has real ad positive

More information

NATIONAL SENIOR CERTIFICATE GRADE 11

NATIONAL SENIOR CERTIFICATE GRADE 11 NATIONAL SENIOR CERTIFICATE GRADE MATHEMATICS P NOVEMBER 007 MARKS: 50 TIME: 3 hours This questio paper cosists of 9 pages, diagram sheet ad a -page formula sheet. Please tur over Mathematics/P DoE/November

More information

Escola Federal de Engenharia de Itajubá

Escola Federal de Engenharia de Itajubá Escola Federal de Egeharia de Itajubá Departameto de Egeharia Mecâica Pós-Graduação em Egeharia Mecâica MPF04 ANÁLISE DE SINAIS E AQUISÇÃO DE DADOS SINAIS E SISTEMAS Trabalho 02 (MATLAB) Prof. Dr. José

More information

A Recursive Formula for Moments of a Binomial Distribution

A Recursive Formula for Moments of a Binomial Distribution A Recursive Formula for Momets of a Biomial Distributio Árpád Béyi beyi@mathumassedu, Uiversity of Massachusetts, Amherst, MA 01003 ad Saverio M Maago smmaago@psavymil Naval Postgraduate School, Moterey,

More information

Solving equations. Pre-test. Warm-up

Solving equations. Pre-test. Warm-up Solvig equatios 8 Pre-test Warm-up We ca thik of a algebraic equatio as beig like a set of scales. The two sides of the equatio are equal, so the scales are balaced. If we add somethig to oe side of the

More information

Finding the circle that best fits a set of points

Finding the circle that best fits a set of points Fidig the circle that best fits a set of poits L. MAISONOBE October 5 th 007 Cotets 1 Itroductio Solvig the problem.1 Priciples............................... Iitializatio.............................

More information

Bond Valuation I. What is a bond? Cash Flows of A Typical Bond. Bond Valuation. Coupon Rate and Current Yield. Cash Flows of A Typical Bond

Bond Valuation I. What is a bond? Cash Flows of A Typical Bond. Bond Valuation. Coupon Rate and Current Yield. Cash Flows of A Typical Bond What is a bod? Bod Valuatio I Bod is a I.O.U. Bod is a borrowig agreemet Bod issuers borrow moey from bod holders Bod is a fixed-icome security that typically pays periodic coupo paymets, ad a pricipal

More information

FI A CIAL MATHEMATICS

FI A CIAL MATHEMATICS CHAPTER 7 FI A CIAL MATHEMATICS Page Cotets 7.1 Compoud Value 117 7.2 Compoud Value of a Auity 118 7.3 Sikig Fuds 119 7.4 Preset Value 122 7.5 Preset Value of a Auity 122 7.6 Term Loas ad Amortizatio 123

More information

Annuities Under Random Rates of Interest II By Abraham Zaks. Technion I.I.T. Haifa ISRAEL and Haifa University Haifa ISRAEL.

Annuities Under Random Rates of Interest II By Abraham Zaks. Technion I.I.T. Haifa ISRAEL and Haifa University Haifa ISRAEL. Auities Uder Radom Rates of Iterest II By Abraham Zas Techio I.I.T. Haifa ISRAEL ad Haifa Uiversity Haifa ISRAEL Departmet of Mathematics, Techio - Israel Istitute of Techology, 3000, Haifa, Israel I memory

More information

Confidence Intervals. CI for a population mean (σ is known and n > 30 or the variable is normally distributed in the.

Confidence Intervals. CI for a population mean (σ is known and n > 30 or the variable is normally distributed in the. Cofidece Itervals A cofidece iterval is a iterval whose purpose is to estimate a parameter (a umber that could, i theory, be calculated from the populatio, if measuremets were available for the whole populatio).

More information