MAT 080-Algebra II. Literal Equation

Size: px
Start display at page:

Download "MAT 080-Algebra II. Literal Equation"

Transcription

1 MAT 080-Algeba II Lieal Equaions Objecives a Solve (linea) lieal equaions which o no equie facoing b Solve (linea) lieal equaions which equie facoing a Solving lieal equaions which o no equie facoing A lieal equaion, o a fomula, is jus an equaion conaining moe han one vaiable. Mos hings efee o as fomulas ae lieal equaions. Fo example: The fomula fo simple inees: I p The fomula fo he peimee of a ecangle: P w The fomula elaing isance, ae an ime fo moion: Now in Algeba I you leane how o solve equaions like 3x 5 8, which have one single vaiable (in his case, x). An impoan pincipal in algeba is: anyhing ha you can o wih numbes will wok wih vaiables. So if I eplace he 3, 5 an 8 wih, say,, s an, especively, o give x s, I shoul sill be able o solve his fo x. Look a he following wok, one in paallel beween he wo poblems: Equaion Lieal Equaion 3x 5 8 oiginal poblem x s 3x move he em wihou x x s s s o he ohe sie 3x 3 subac x s 3x ivie o eliminae he muliplie faco, leaving jus x x 1 cancel, leaving he answe x 1 x s s

2 MAT 080: Lieal Equaions Noe ha wheneve we subace a numbe o eliminae an ae em in he equaion, we subace a vaiable o eliminae a vaiable em in he lieal equaion. An wheneve we ivie by a numbe o eliminae a muliplie faco in he equaion, we ivie by a vaiable em o eliminae a muliplie faco in he lieal equaion. In ohe wos: o solve a lieal equaion fo a vaiable, you will use he same poceues ha you use when solving an equaion fo is vaiable. The iffeence is ha you will nee o apply hese poceues o vaiable ems (as well as o numbes) when solving a lieal equaion. Example 1: Solve fo. Soluion: Noe fis ha I neee o ell you which vaiable o solve fo because hee ae hee vaiables in he fomula. To ge by iself you nee o ge i of he, which muliplies he. To ge i of muliplie quaniies in an equaion, you nee o ivie. Given lieal equaion Divie by o cancel he an isolae he. Cancel The answe o he poblem is. You may fin his somewha o: befoe, when you solve an equaion, he answe woul be a numbe, no an expession wih lees like his answe. Bu he oiginal poblem ha hee vaiables in i, so one shoul expec ha he answe will have hee vaiables, as well. Thee ae wo hings ha nee o be ue fo o be he soluion o he oiginal lieal equaion: (he vaiable you solve fo) nees o be by iself on one sie of he equal sign, an, canno appea on he ohe sie of he equal sign. Pacice Poblem 1: Solve fo. The soluion o his Pacice Poblem may be foun saing on page 10.

3 Example Solve A x y z fo z. Objecive a: Solving lieal equaions which o no equie facoing 3 Soluion: We ae o solve fo z, which means we nee o ge he z by iself on one sie of he equal sign. To ge he z by iself, you nee o ge i of boh he x an he y, which ae ae o he z. To ge i of ae quaniies in an equaion, you nee o subac. A x y z A x y x y z x y A x y x x y y z A x y z Given lieal equaion Subac x an y fom boh sies o cancel he x an y. Reaange o pu he like ems ogehe. Subac. The x s an y s cancel on he igh-han sie of he equaion. The soluion o he lieal equaion is z A x y. Noice ha z is by iself on one sie of he equal sign, an ha hee ae no z s on he ohe sie of he equal sign. Pacice Poblem : Solve H c e fo. The soluion o his Pacice Poblem may be foun saing on page 10. Example 3 Solve a bc Z fo a. Soluion: We ae o solve fo a, which means we nee o ge he a by iself on one sie of he equal sign. Fis, ge he em wih he a by iself, by geing i of he bc em, which is subace fom he a. To ge i of subace quaniies in an equaion, you nee o a. You will no be one, hough: you will have o eal wih he muliplie, by iviing. This soluion will equie wo seps. a bc Z a bc bc Z bc a Z bc a Z bc a Z bc Oiginal equaion A bc o boh sies of he equaion o cancel he bc. Combine he like ems. The bc s cancel on he lef-han sie of he equaion. Divie boh sies by o cancel he ha muliplies he a. Cancel he s on he lef sie.

4 4 MAT 080: Lieal Equaions Z bc The soluion o he lieal equaion is a. Noice ha a is by iself on one sie of he equal sign, an ha hee ae no a s on he ohe sie of he equal sign. Thee ae wo ohe impoan hings o noe in his example: We canno o his poblem in one big sep. We neee o fis ge he em wih he a in i by iself, an hen eal wih is coefficien in a secon sep. When we ivie boh sies by, we ivie he enie igh sie of he equaion by. Don foge o o his. Pacice Poblem 3: Solve L W P fo W. The soluion o his Pacice Poblem may be foun saing on page 11. b Solving lieal equaions which equie facoing The ohe vaiey of lieal equaion ha we will consie ae hose which have wo ems conaining he unknown being solve fo. An example of such a poblem is: Solve ax bx c fo x. Wih an oinay equaion of his ype (fo example, 3x 5x 8) you pefom he moving all he x-ems o one sie sep o begin wih. You will o his wih a lieal equaion as well. A small poblem cops up, howeve. Look a he following wok, one in paallel beween he wo poblems: Equaion Lieal Equaion 3x 5x 8 oiginal poblem ax bx c 3x 5x 5x 5x 8 move he x-em on he ax bx bx bx c igh o he ohe sie x 8 combine like ems ax bx c x 8 ivie o eliminae he??? muliplie faco, leaving jus x We have a poblem finishing he lieal equaion because ax an bx ae no like ems, an canno be combine. In he oinay equaion his coul be one

5 Objecive b: Solving lieal equaions which equie facoing 5 because 3x an 5x ae like ems. The ay will be save by facoing, which will un ax bx ino a muliplicaion poblem. Faco he common faco of x fom boh ems, which gives ax bx x(a b) Now we have somehing o ivie... he enie goup (a poblems we wee oing can now be coninue: b). The paallel Equaion Lieal Equaion x 8 combine /faco like ems x(a b) c x 8 ivie o eliminae he muliplie faco, leaving jus x x(a b) a b x 4 cancel x c a c a b b We sill use he same poceues o solve his kin of lieal equaion as we use o solve an oinay equaion, wih he aiion of a facoing sep. This sep will wok wheneve we have wo (o moe) ems wih he same vaiable being solve fo, which we ae unable o ohewise combine. Example 4 Solve 3x bx c fo x. Soluion: We ae o solve fo x, which means we nee o ge he x by iself on one sie of he equal sign. To ge o his poin we will nee o have all x ems on one sie of he equal sign. This is aleay he case: boh 3x an bx ae on he lef sie of he equaion, an no ems conaining x ae on he igh sie. Since we canno a he 3x an he bx we pefom he facoing sep escibe above. 3x bx c x(3 b) c x(3 b) 3 b x c 3 b c 3 b Faco he common faco of x fom boh ems. Divie boh sies by 3 b o cancel he 3 b ha muliplies he x. Cancel he 3 b on he lef sie of he equal sign.

6 6 MAT 080: Lieal Equaions c The soluion o he lieal equaion is x. Noice ha he x is by iself on 3 b one sie of he equal sign, an ha hee ae no x s on he ohe sie of he equal sign. Pacice Poblem 4: Solve ax 6 x D fo x. The soluion o his Pacice Poblem may be foun saing on page 11. Example 5 Solve a m fo. Soluion: We ae o solve fo, which means we nee o ge he by iself on one sie of he equal sign. To ge o his poin we will nee o have all ems on one sie of he equal sign. This is aleay he case: boh a an ae on he lef sie of he equaion, an no ems conaining ae on he igh sie. Since we canno a he a an he we pefom he facoing sep escibe above. The facoing sep nees a lile cae. a m (a 1) m (a 1) a 1 m a 1 m a 1 Faco he common faco of fom boh ems. Facoing fom will leave a 1! Don foge i! Divie boh sies by a 1 o cancel he a 1 ha muliplies he. Cancel he a 1 on he lef sie of he equal sign. m The soluion o he lieal equaion is. Noice ha he is by iself on a 1 one sie of he equal sign, an ha hee ae no s on he ohe sie of he equal sign. Pacice Poblem 5 Solve p p I fo p. The soluion o his Pacice Poblem may be foun saing on page 1. Example 6 Solve s s fo. Soluion: We ae o solve fo, which means we nee o ge he by iself on one sie of he equal sign. To ge o his poin we will nee o have all ems

7 Objecive b: Solving lieal equaions which equie facoing 7 on one sie of he equal sign. Thee ae ems wih s on each sie of he equal sign: an on he lef, an an s on he igh. We will fis nee o ge all he ems on he same sie of he equal sign. I will be moe efficien o move he o he igh sie. This can be one by subacing an fom boh sies. Then we will nee o o he facoing sep. s s s s s s Subac fom boh sies o move he em o he igh sie of he equaion. Combine like ems. The s cancel on he lefhan sie of he equaion. s ( s ) s ( s ) s s Faco he common faco of fom boh ems. Divie boh sies by s o cancel he s ha muliplies he. s Cancel he s on he igh sie of he equal sign. s s The soluion o he lieal equaion is. Noice ha he is by iself on one s sie of he equal sign, an ha hee ae no s on he ohe sie of he equal sign. Pacice Poblem 6 Solve a bc b fo b. The soluion o his Pacice Poblem may be foun saing on page 1. Example 7 Solve y x xy fo x. Soluion: We ae o solve fo x, an hee ae ems wih x s on each sie of he equal sign. We will fis nee o ge all he x ems on he same sie of he equal sign. I will be moe efficien o move he x o he igh sie. This can be one by aing x o boh sies. Then we will nee o o he facoing sep. The facoing sep equies a lile cae, an hee is a empaion ha nees o be fough a he en of he poblem.

8 8 MAT 080: Lieal Equaions y x xy y x x xy x A x o boh sies o move he igh sie of he equaion. x em o he y xy x Combine like ems. The x s cancel on he lefhan sie of he equaion. y x( y 1) y x( y 1) y 1 y 1 Faco he common faco of x fom boh ems. Facoing x fom x will leave a 1! Don foge i! Divie boh sies by y 1 o cancel he y 1 ha muliplies he x. y x Cancel he y 1 on he igh sie of he equal sign. y 1 y The soluion o he lieal equaion is x. Noice ha he x is by iself on y 1 one sie of he equal sign, an ha hee ae no x s on he ohe sie of he equal sign. WARNING! DO NOT CANCEL THE y s IN THE FRACTION! In his couse we will no lean he echniques fo simplifying facions wih unknowns in hem. Also, i woul be incoec o cancel he y s in his poblem egaless. So, when you ge facion answes in hese poblems, leave hem alone! Pacice Poblem 7 Solve 3c bc b fo b. The soluion o his Pacice Poblem may be foun saing on page 13.

9 Homewok poblems 9 Homewok Poblems Answes o Homewok poblems may be foun on page 15 a Solving lieal equaions which o no equie facoing Solve fo he vaiable inicae. 1. Solve fo I: IR E. Solve fo u: su 3. Solve fo j: Q i j k 4. Solve fo e: H c e 5. Solve fo c: f e 3 c 6. Solve fo y: x 7y Solve fo S: A Sw w 8. Solve fo c: bc 3a x b Solving lieal equaions which equie facoing Solve fo he vaiable inicae. 9. Solve fo x: 3x xy y 10. Solve fo m: am bm c 11. Solve fo k: G kp ak 1. Solve fo x: x x u 13. Solve fo y: ay y T 14. Solve fo w: A Sw w 15. Solve fo f: f g ef 16. Solve fo : 6 xy s 17. Solve fo h: A hc hb 18. Solve fo C: S C C 19. Solve fo b: bx 4x b 0. Solve fo g: 1 g gr

10 10 MAT 080: Lieal Equaions Soluions o Pacice Poblems Pacice Poblem 1: Solve fo. Soluion: To ge by iself I nee o ge i of he, which muliplies he. To ge i of muliplie quaniies in an equaion, you nee o ivie. Given lieal equaion Divie by o cancel he an isolae he. Cancel The soluion o he lieal equaion is. Noice ha is by iself on one sie of he equal sign, an ha hee ae no s on he ohe sie of he equal sign. Pacice Poblem : Solve H c e fo. Soluion: We ae o solve fo, which means you nee o ge he by iself on one sie of he equal sign. To ge he by iself, you nee o ge i of boh he c an he e, which ae ae o he. To ge i of ae quaniies in an equaion, you nee o subac. H c e H c e c e c e H c e c c e e H c e Given lieal equaion Subac c an e fom boh sies o cancel he c an e. Reaange o pu he like ems ogehe. Subac. The c s an e s cancel on he igh-han sie of he equaion. The soluion o he lieal equaion is H c e. Noice ha is by iself on one sie of he equal sign, an ha hee ae no s on he ohe sie of he equal sign.

11 Soluions o Pacice Poblems 11 Pacice Poblem 3 Solve L W P fo W. Soluion: We ae o solve fo W, which means we nee o ge he W by iself on one sie of he equal sign. To ge he em wih he W by iself, you fis nee o ge i of L em, which is ae o he W. To ge i of ae quaniies in an equaion, you nee o subac. You will no be one, hough: you will have o eal wih he muliplie, by iviing. This soluion will equie wo seps. L W P L L W P L Subac L fom boh sies of he equaion o cancel he L. W P L W P L W P L Combine he like ems. The L s cancel on he igh-han sie of he equaion. Divie boh sies by o cancel he ha muliplies he W. Cancel he s on he lef sie. The soluion o he lieal equaion is W P L. Noice ha W is by iself on one sie of he equal sign, an ha hee ae no W s on he ohe sie of he equal sign. Noe also ha we ivie he enie igh sie of he equaion by an ha he s o no cancel. Pacice Poblem 4 Solve ax 6 x D fo x. Soluion: We ae o solve fo x, which means we nee o ge he x by iself on one sie of he equal sign. To ge o his poin we will nee o have all x ems on one sie of he equal sign. This is aleay he case: boh ax an 6x ae on he lef sie of he equaion, an no ems conaining x ae on he igh sie. Since we canno a he ax an he 6x we pefom he facoing sep. ax 6x D x(a 6) D x(a 6) a 6 x D a 6 D a 6 Faco he common faco of x fom boh ems. Divie boh sies by a 6 o cancel he a 6 ha muliplies he x. Cancel he a 6 on he lef sie of he equal sign.

12 1 MAT 080: Lieal Equaions D The soluion o he lieal equaion is x. Noice ha he x is by iself on a 6 one sie of he equal sign, an ha hee ae no x s on he ohe sie of he equal sign. Pacice Poblem 5 Solve p p I fo p. Soluion: We ae o solve fo p, which means we nee o ge he p by iself on one sie of he equal sign. To ge o his poin we will nee o have all p ems on one sie of he equal sign. This is aleay he case: boh p an p ae on he lef sie of he equaion, an no ems conaining p ae on he igh sie. Since we canno a he p an he p we pefom he facoing sep escibe above. The facoing sep nees a lile cae. p p I p(1 ) I Faco he common faco of p fom boh ems. Facoing p fom p will leave a 1! Don foge i! p(1 ) I Divie boh sies by 1 o cancel he 1 ha 1 1 muliplies he p. I p 1 Cancel he 1 on he lef sie of he equal sign. I The soluion o he lieal equaion is p. Noice ha he p is by iself on 1 one sie of he equal sign, an ha hee ae no p s on he ohe sie of he equal sign. Pacice Poblem 6 Solve a bc b fo b. Soluion: We ae o solve fo b, which means we nee o ge he b by iself on one sie of he equal sign. To ge o his poin we will nee o have all b ems on one sie of he equal sign. Thee ae ems wih b s on each sie of he equal sign: a bc on he lef, an a b on he igh. We will fis nee o ge all he b ems on he same sie of he equal sign. I will be moe efficien o move he bc o he igh sie. This can be one by subacing a bc fom boh sies. Then we will nee o o he facoing sep.

13 Soluions o Pacice Poblems 13 a bc b a bc bc b bc a b bc Subac bc fom boh sies o move he b em o he igh sie of he equaion. Combine like ems. The bc s cancel on he lefhan sie of he equaion. a b( c ) a b( c) c c Faco he common faco of b fom boh ems. Divie boh sies by c o cancel he c ha muliplies he b. a b Cancel he c on he igh sie of he equal c sign. a The soluion o he lieal equaion is b. Noice ha he b is by iself on c one sie of he equal sign, an ha hee ae no b s on he ohe sie of he equal sign. Pacice Poblem 7 Solve 3c bc b fo b. Soluion: We ae o solve fo b, an hee ae ems wih b s on each sie of he equal sign. We will fis nee o ge all he b ems on he same sie of he equal sign. I will be moe efficien o move he bc o he igh sie. This can be one by subacing bc fom boh sies. Then we will nee o o he facoing sep. The facoing sep equies a lile cae, an hee is a empaion ha nees o be fough a he en of he poblem. 3c b bc 3c bc bc b bc 3c b bc 3 c b(1 c ) 3 c b(1 c) 1 c 1 c 3c 1 c b Subac bc fom boh sies o move he bc em o he igh sie of he equaion. Combine like ems. The bc s cancel on he lefhan sie of he equaion. Faco he common faco of b fom boh ems. Facoing b fom b will leave a 1! Don foge i! Divie boh sies by 1 c o cancel he 1 c ha muliplies he b. Cancel he 1 sign. c on he igh sie of he equal

14 14 MAT 080: Lieal Equaions 3c The soluion o he lieal equaion is b. Noice ha he b is by iself on 1 c one sie of he equal sign, an ha hee ae no b s on he ohe sie of he equal sign. WARNING! DO NOT CANCEL THE c s IN THE FRACTION! In his couse we will no lean he echniques fo simplifying facions wih unknowns in hem. Also, i woul be incoec o cancel he c s in his poblem egaless. So, when you ge facion answes in hese poblems, leave hem alone!

15 Answes o Homewok Poblems Answes o Homewok Poblems I E R. u s 3. j Q i k 4. e H c 5. c f e x y 7 o y x 7 7. S A w w 8. c x 3a b 9. x 3 y y 10. m c a b 11. k p G a 1. x u y T a w A S f g e 16. xy s h A b c 18. c s b 4x x 1 0. g 1 R 1

HFCC Math Lab Intermediate Algebra - 13 SOLVING RATE-TIME-DISTANCE PROBLEMS

HFCC Math Lab Intermediate Algebra - 13 SOLVING RATE-TIME-DISTANCE PROBLEMS HFCC Mah Lab Inemeiae Algeba - 3 SOLVING RATE-TIME-DISTANCE PROBLEMS The vaiables involve in a moion poblem ae isance (), ae (), an ime (). These vaiables ae elae by he equaion, which can be solve fo any

More information

HUT, TUT, LUT, OU, ÅAU / Engineering departments Entrance examination in mathematics May 25, 2004

HUT, TUT, LUT, OU, ÅAU / Engineering departments Entrance examination in mathematics May 25, 2004 HUT, TUT, LUT, OU, ÅAU / Engineeing depamens Enane examinaion in mahemais May 5, 4 Insuions. Reseve a sepaae page fo eah poblem. Give you soluions in a lea fom inluding inemediae seps. Wie a lean opy of

More information

Transformations. Computer Graphics. Types of Transformations. 2D Scaling from the origin. 2D Translations. 9/22/2011. Geometric Transformation

Transformations. Computer Graphics. Types of Transformations. 2D Scaling from the origin. 2D Translations. 9/22/2011. Geometric Transformation 9// anfomaion. Compue Gaphic Lecue anfomaion Wha i a anfomaion? Wha oe i o? anfom he cooinae / nomal veco of objec Wh ue hem? Moelling -Moving he objec o he eie locaion in he envionmen -Muliple inance

More information

Valuing Long-Lived Assets

Valuing Long-Lived Assets Valuing Long-Lived Asses Olive Tabalski, 008-09-0 This chape explains how you can calculae he pesen value of cash flow. Some vey useful shocu mehods will be shown. These shocus povide a good oppouniy fo

More information

Modeling the Yield Curve Dynamics

Modeling the Yield Curve Dynamics FIXED-INCOME SECURITIES Chape 2 Modeling he Yield Cuve Dynamics Ouline Moivaion Inees Rae Tees Single-Faco Coninuous-Time Models Muli-Faco Coninuous-Time Models Abiage Models Moivaion Why do we Cae? Picing

More information

Chapter 7. Response of First-Order RL and RC Circuits

Chapter 7. Response of First-Order RL and RC Circuits Chaper 7. esponse of Firs-Order L and C Circuis 7.1. The Naural esponse of an L Circui 7.2. The Naural esponse of an C Circui 7.3. The ep esponse of L and C Circuis 7.4. A General oluion for ep and Naural

More information

cooking trajectory boiling water B (t) microwave 0 2 4 6 8 101214161820 time t (mins)

cooking trajectory boiling water B (t) microwave 0 2 4 6 8 101214161820 time t (mins) Alligaor egg wih calculus We have a large alligaor egg jus ou of he fridge (1 ) which we need o hea o 9. Now here are wo accepable mehods for heaing alligaor eggs, one is o immerse hem in boiling waer

More information

Permutations and Combinations

Permutations and Combinations Permuaions and Combinaions Combinaorics Copyrigh Sandards 006, Tes - ANSWERS Barry Mabillard. 0 www.mah0s.com 1. Deermine he middle erm in he expansion of ( a b) To ge he k-value for he middle erm, divide

More information

9. Capacitor and Resistor Circuits

9. Capacitor and Resistor Circuits ElecronicsLab9.nb 1 9. Capacior and Resisor Circuis Inroducion hus far we have consider resisors in various combinaions wih a power supply or baery which provide a consan volage source or direc curren

More information

Chapter 2 Kinematics in One Dimension

Chapter 2 Kinematics in One Dimension Chaper Kinemaics in One Dimension Chaper DESCRIBING MOTION:KINEMATICS IN ONE DIMENSION PREVIEW Kinemaics is he sudy of how hings moe how far (disance and displacemen), how fas (speed and elociy), and how

More information

Differential Equations. Solving for Impulse Response. Linear systems are often described using differential equations.

Differential Equations. Solving for Impulse Response. Linear systems are often described using differential equations. Differenial Equaions Linear sysems are ofen described using differenial equaions. For example: d 2 y d 2 + 5dy + 6y f() d where f() is he inpu o he sysem and y() is he oupu. We know how o solve for y given

More information

1 HALF-LIFE EQUATIONS

1 HALF-LIFE EQUATIONS R.L. Hanna Page HALF-LIFE EQUATIONS The basic equaion ; he saring poin ; : wrien for ime: x / where fracion of original maerial and / number of half-lives, and / log / o calculae he age (# ears): age (half-life)

More information

1. Time Value of Money 3 2. Discounted Cash Flow 35 3. Statistics and Market Returns 49 4. Probabilities 81 5. Key Formulas 109

1. Time Value of Money 3 2. Discounted Cash Flow 35 3. Statistics and Market Returns 49 4. Probabilities 81 5. Key Formulas 109 1. Time Value of Money 3 2. Discouned Cash Flow 35 3. Saisics and Make Reuns 49 4. Pobabiliies 81 5. Key Fomulas 109 Candidae Noe: This is a lenghy Sudy Session ha, along wih Sudy Session 3, you should

More information

Analytical Proof of Newton's Force Laws

Analytical Proof of Newton's Force Laws Analytical Poof of Newton s Foce Laws Page 1 1 Intouction Analytical Poof of Newton's Foce Laws Many stuents intuitively assume that Newton's inetial an gavitational foce laws, F = ma an Mm F = G, ae tue

More information

An iterative wave-front sensing algorithm for high-contrast imaging systems *

An iterative wave-front sensing algorithm for high-contrast imaging systems * An ieaive wave-fon sensing algoihm fo high-conas imaging sysems * Jiangpei Dou,, Deqing Ren,,,3 and Yongian Zhu, aional Asonomical Obsevaoies / anjing Insiue of Asonomical Opics & Technology, Chinese Academy

More information

A Probability Density Function for Google s stocks

A Probability Density Function for Google s stocks A Probabiliy Densiy Funcion for Google s socks V.Dorobanu Physics Deparmen, Poliehnica Universiy of Timisoara, Romania Absrac. I is an approach o inroduce he Fokker Planck equaion as an ineresing naural

More information

Skills Needed for Success in Calculus 1

Skills Needed for Success in Calculus 1 Skills Needed fo Success in Calculus Thee is much appehension fom students taking Calculus. It seems that fo man people, "Calculus" is snonmous with "difficult." Howeve, an teache of Calculus will tell

More information

Conceptually calculating what a 110 OTM call option should be worth if the present price of the stock is 100...

Conceptually calculating what a 110 OTM call option should be worth if the present price of the stock is 100... Normal (Gaussian) Disribuion Probabiliy De ensiy 0.5 0. 0.5 0. 0.05 0. 0.9 0.8 0.7 0.6? 0.5 0.4 0.3 0. 0. 0 3.6 5. 6.8 8.4 0.6 3. 4.8 6.4 8 The Black-Scholes Shl Ml Moel... pricing opions an calculaing

More information

29 March 2006. Application of Annuity Depreciation in the Presence of Competing Technologies II Telecom New Zealand

29 March 2006. Application of Annuity Depreciation in the Presence of Competing Technologies II Telecom New Zealand 29 Mach 2006 Applicaion of Annuiy Depeciaion in he Pesence of Compeing Technologies II Telecom ew Zealand Pojec Team Tom Hid (Ph.D.) Daniel Young EA Economic Consuling Level 6 33 Exhibiion See Melboune

More information

Imagine a Source (S) of sound waves that emits waves having frequency f and therefore

Imagine a Source (S) of sound waves that emits waves having frequency f and therefore heoreical Noes: he oppler Eec wih ound Imagine a ource () o sound waes ha emis waes haing requency and hereore period as measured in he res rame o he ource (). his means ha any eecor () ha is no moing

More information

Random Walk in 1-D. 3 possible paths x vs n. -5 For our random walk, we assume the probabilities p,q do not depend on time (n) - stationary

Random Walk in 1-D. 3 possible paths x vs n. -5 For our random walk, we assume the probabilities p,q do not depend on time (n) - stationary Random Walk in -D Random walks appear in many cones: diffusion is a random walk process undersanding buffering, waiing imes, queuing more generally he heory of sochasic processes gambling choosing he bes

More information

Answer, Key Homework 2 David McIntyre 45123 Mar 25, 2004 1

Answer, Key Homework 2 David McIntyre 45123 Mar 25, 2004 1 Answer, Key Homework 2 Daid McInyre 4123 Mar 2, 2004 1 This prin-ou should hae 1 quesions. Muliple-choice quesions may coninue on he ne column or page find all choices before making your selecion. The

More information

Appendix A: Area. 1 Find the radius of a circle that has circumference 12 inches.

Appendix A: Area. 1 Find the radius of a circle that has circumference 12 inches. Appendi A: Area worked-ou s o Odd-Numbered Eercises Do no read hese worked-ou s before aemping o do he eercises ourself. Oherwise ou ma mimic he echniques shown here wihou undersanding he ideas. Bes wa

More information

Signal Processing and Linear Systems I

Signal Processing and Linear Systems I Sanford Universiy Summer 214-215 Signal Processing and Linear Sysems I Lecure 5: Time Domain Analysis of Coninuous Time Sysems June 3, 215 EE12A:Signal Processing and Linear Sysems I; Summer 14-15, Gibbons

More information

Module 4. Single-phase AC circuits. Version 2 EE IIT, Kharagpur

Module 4. Single-phase AC circuits. Version 2 EE IIT, Kharagpur Module 4 Single-phase A circuis ersion EE T, Kharagpur esson 5 Soluion of urren in A Series and Parallel ircuis ersion EE T, Kharagpur n he las lesson, wo poins were described:. How o solve for he impedance,

More information

Sensitivity Analysis of a Dynamic Fleet Management Model Using Approximate Dynamic Programming

Sensitivity Analysis of a Dynamic Fleet Management Model Using Approximate Dynamic Programming Sensiiviy Analysis of a Dynamic Flee Managemen Model Using Appoximae Dynamic Pogamming HUSEYIN TOPALOGLU School of Opeaions Reseach and Indusial Engineeing, Conell Univesiy, Ihaca, New Yok 14853, USA,

More information

Estimation and Comparison of Chained CPI-U Standard Errors With Regular CPI-U Results (2000-2001)

Estimation and Comparison of Chained CPI-U Standard Errors With Regular CPI-U Results (2000-2001) 2003 Join Saisical Meeings - Secion on Suvey eseach Mehods Esimaion and ompaison of hained PI-U Sandad Eos Wih egula PI-U esuls (2000-2001) Owen J. Shoemake U.S. Bueau of Labo Saisics, 2 Mass Ave., NE,

More information

Ultraconservative Online Algorithms for Multiclass Problems

Ultraconservative Online Algorithms for Multiclass Problems Jounal of Machine Leaning Reseach 3 (2003) 951-991 Submied 2/02; Published 1/03 Ulaconsevaive Online Algoihms fo Muliclass Poblems Koby Camme Yoam Singe School of Compue Science & Engineeing Hebew Univesiy,

More information

Differential Equations and Linear Superposition

Differential Equations and Linear Superposition Differenial Equaions and Linear Superposiion Basic Idea: Provide soluion in closed form Like Inegraion, no general soluions in closed form Order of equaion: highes derivaive in equaion e.g. dy d dy 2 y

More information

Chapter 3 Savings, Present Value and Ricardian Equivalence

Chapter 3 Savings, Present Value and Ricardian Equivalence Chapte 3 Savings, Pesent Value and Ricadian Equivalence Chapte Oveview In the pevious chapte we studied the decision of households to supply hous to the labo maket. This decision was a static decision,

More information

17 Laplace transform. Solving linear ODE with piecewise continuous right hand sides

17 Laplace transform. Solving linear ODE with piecewise continuous right hand sides 7 Laplace ransform. Solving linear ODE wih piecewise coninuous righ hand sides In his lecure I will show how o apply he Laplace ransform o he ODE Ly = f wih piecewise coninuous f. Definiion. A funcion

More information

Inductance and Transient Circuits

Inductance and Transient Circuits Chaper H Inducance and Transien Circuis Blinn College - Physics 2426 - Terry Honan As a consequence of Faraday's law a changing curren hrough one coil induces an EMF in anoher coil; his is known as muual

More information

4a 4ab b 4 2 4 2 5 5 16 40 25. 5.6 10 6 (count number of places from first non-zero digit to

4a 4ab b 4 2 4 2 5 5 16 40 25. 5.6 10 6 (count number of places from first non-zero digit to . Simplify: 0 4 ( 8) 0 64 ( 8) 0 ( 8) = (Ode of opeations fom left to ight: Paenthesis, Exponents, Multiplication, Division, Addition Subtaction). Simplify: (a 4) + (a ) (a+) = a 4 + a 0 a = a 7. Evaluate

More information

Autonomic management of scalable load-balancing for ubiquitous networks

Autonomic management of scalable load-balancing for ubiquitous networks Auonomic managemen of scalable -balancing fo ubiquious newoks Toshio TONOUCHI and Yasuyuki BEPPU Inene Sysems Laboaoies, NEC Copoaion {onouchi@cw, y-beppu@ak}.jp.nec.com Absac. In ubiquious newoks, a lo

More information

4. International Parity Conditions

4. International Parity Conditions 4. Inernaional ariy ondiions 4.1 urchasing ower ariy he urchasing ower ariy ( heory is one of he early heories of exchange rae deerminaion. his heory is based on he concep ha he demand for a counry's currency

More information

CHARGE AND DISCHARGE OF A CAPACITOR

CHARGE AND DISCHARGE OF A CAPACITOR REFERENCES RC Circuis: Elecrical Insrumens: Mos Inroducory Physics exs (e.g. A. Halliday and Resnick, Physics ; M. Sernheim and J. Kane, General Physics.) This Laboraory Manual: Commonly Used Insrumens:

More information

A Curriculum Module for AP Calculus BC Curriculum Module

A Curriculum Module for AP Calculus BC Curriculum Module Vecors: A Curriculum Module for AP Calculus BC 00 Curriculum Module The College Board The College Board is a no-for-profi membership associaion whose mission is o connec sudens o college success and opporuniy.

More information

Security Analysts Journal Prize 2005. Factors Driving Correlations Between Fixed Income and Equity Returns Asset Allocation and ALM for Pension Funds

Security Analysts Journal Prize 2005. Factors Driving Correlations Between Fixed Income and Equity Returns Asset Allocation and ALM for Pension Funds ecui Analss Jounal epembe 5 ecui Analss Jounal ize 5 Facos Diving Coelaions eween Fixed Income and Equi Reuns Asse Allocaion and AM fo ension Funds Junichi Iwamoo CMA Chief Reseache ension Reseach Insiue

More information

How many times have you seen something like this?

How many times have you seen something like this? VOL. 77, NO. 4, OTOR 2004 251 Whee the amea Was KTHRN McL. YRS JMS M. HNL Smith ollege Nothampton, M 01063 jhenle@math.smith.eu How many times have you seen something like this? Then Now Souces: outesy

More information

Quantity Formula Meaning of variables. 5 C 1 32 F 5 degrees Fahrenheit, 1 bh A 5 area, b 5 base, h 5 height. P 5 2l 1 2w

Quantity Formula Meaning of variables. 5 C 1 32 F 5 degrees Fahrenheit, 1 bh A 5 area, b 5 base, h 5 height. P 5 2l 1 2w 1.4 Rewite Fomulas and Equations Befoe You solved equations. Now You will ewite and evaluate fomulas and equations. Why? So you can apply geometic fomulas, as in Ex. 36. Key Vocabulay fomula solve fo a

More information

The Transport Equation

The Transport Equation The Transpor Equaion Consider a fluid, flowing wih velociy, V, in a hin sraigh ube whose cross secion will be denoed by A. Suppose he fluid conains a conaminan whose concenraion a posiion a ime will be

More information

Economics Honors Exam 2008 Solutions Question 5

Economics Honors Exam 2008 Solutions Question 5 Economics Honors Exam 2008 Soluions Quesion 5 (a) (2 poins) Oupu can be decomposed as Y = C + I + G. And we can solve for i by subsiuing in equaions given in he quesion, Y = C + I + G = c 0 + c Y D + I

More information

Chapter 19: Electric Charges, Forces, and Fields ( ) ( 6 )( 6

Chapter 19: Electric Charges, Forces, and Fields ( ) ( 6 )( 6 Chapte 9 lectic Chages, Foces, an Fiels 6 9. One in a million (0 ) ogen molecules in a containe has lost an electon. We assume that the lost electons have been emove fom the gas altogethe. Fin the numbe

More information

Pricing strategy of e-commerce platform under different operational models

Pricing strategy of e-commerce platform under different operational models Picing saegy of e-coece lafo unde diffeen oeaional odels Shuihua Han, Yufang Fu School of Manageen, Xiaen Univesiy, Xiaen, 36000, China Absac: We odel icing saegy unde lafo coeiion wih diffeen e-coece

More information

Chapter 6: Business Valuation (Income Approach)

Chapter 6: Business Valuation (Income Approach) Chaper 6: Business Valuaion (Income Approach) Cash flow deerminaion is one of he mos criical elemens o a business valuaion. Everyhing may be secondary. If cash flow is high, hen he value is high; if he

More information

RC (Resistor-Capacitor) Circuits. AP Physics C

RC (Resistor-Capacitor) Circuits. AP Physics C (Resisor-Capacior Circuis AP Physics C Circui Iniial Condiions An circui is one where you have a capacior and resisor in he same circui. Suppose we have he following circui: Iniially, he capacior is UNCHARGED

More information

Semipartial (Part) and Partial Correlation

Semipartial (Part) and Partial Correlation Semipatial (Pat) and Patial Coelation his discussion boows heavily fom Applied Multiple egession/coelation Analysis fo the Behavioal Sciences, by Jacob and Paticia Cohen (975 edition; thee is also an updated

More information

SOLID MECHANICS TUTORIAL GEAR SYSTEMS. This work covers elements of the syllabus for the Edexcel module 21722P HNC/D Mechanical Principles OUTCOME 3.

SOLID MECHANICS TUTORIAL GEAR SYSTEMS. This work covers elements of the syllabus for the Edexcel module 21722P HNC/D Mechanical Principles OUTCOME 3. SOLI MEHNIS TUTORIL GER SYSTEMS This work covers elemens of he syllabus for he Edexcel module 21722P HN/ Mechanical Principles OUTOME 3. On compleion of his shor uorial you should be able o do he following.

More information

Analysis of tax effects on consolidated household/government debts of a nation in a monetary union under classical dichotomy

Analysis of tax effects on consolidated household/government debts of a nation in a monetary union under classical dichotomy MPRA Munich Personal RePEc Archive Analysis of ax effecs on consolidaed household/governmen debs of a naion in a moneary union under classical dichoomy Minseong Kim 8 April 016 Online a hps://mpra.ub.uni-muenchen.de/71016/

More information

Name: Algebra II Review for Quiz #13 Exponential and Logarithmic Functions including Modeling

Name: Algebra II Review for Quiz #13 Exponential and Logarithmic Functions including Modeling Name: Algebra II Review for Quiz #13 Exponenial and Logarihmic Funcions including Modeling TOPICS: -Solving Exponenial Equaions (The Mehod of Common Bases) -Solving Exponenial Equaions (Using Logarihms)

More information

Signal Rectification

Signal Rectification 9/3/25 Signal Recificaion.doc / Signal Recificaion n imporan applicaion of juncion diodes is signal recificaion. here are wo ypes of signal recifiers, half-wae and fullwae. Le s firs consider he ideal

More information

The Pricing of Finite Maturity Corporate Coupon Bonds with Rating-Based Covenants

The Pricing of Finite Maturity Corporate Coupon Bonds with Rating-Based Covenants he Picing of Finie Mauiy Copoae Coupon Bonds wih Raing-Based Covenans Ségio Silva Poucalense Univesiy, Pougal e-mail: segios@up.p coesponding auho) José Azevedo Peeia ISEG - echnical Univesiy of Lisbon,

More information

March 2002. Report to the ACCC. Working Capital. Relevance for the Assessment of Reference Tariffs. The Allen Consulting Group

March 2002. Report to the ACCC. Working Capital. Relevance for the Assessment of Reference Tariffs. The Allen Consulting Group Mach 00 Repo o he ACCC Woking Capial Relevance fo he Assessmen of Refeence Taiffs The Allen Consuling Goup The Allen Consuling Goup Py Ld ACN 007 06 930 Melboune 4h Floo, 8 Exhibiion S Melboune Vicoia

More information

Optimal Control Formulation using Calculus of Variations

Optimal Control Formulation using Calculus of Variations Lecure 5 Opimal Conrol Formulaion using Calculus o Variaions Dr. Radhakan Padhi Ass. Proessor Dep. o Aerospace Engineering Indian Insiue o Science - Bangalore opics Opimal Conrol Formulaion Objecive &

More information

Full-wave rectification, bulk capacitor calculations Chris Basso January 2009

Full-wave rectification, bulk capacitor calculations Chris Basso January 2009 ull-wave recificaion, bulk capacior calculaions Chris Basso January 9 This shor paper shows how o calculae he bulk capacior value based on ripple specificaions and evaluae he rms curren ha crosses i. oal

More information

Questions & Answers Chapter 10 Software Reliability Prediction, Allocation and Demonstration Testing

Questions & Answers Chapter 10 Software Reliability Prediction, Allocation and Demonstration Testing M13914 Questions & Answes Chapte 10 Softwae Reliability Pediction, Allocation and Demonstation Testing 1. Homewok: How to deive the fomula of failue ate estimate. λ = χ α,+ t When the failue times follow

More information

Database Management Systems

Database Management Systems Contents Database Management Systems (COP 5725) D. Makus Schneide Depatment of Compute & Infomation Science & Engineeing (CISE) Database Systems Reseach & Development Cente Couse Syllabus 1 Sping 2012

More information

Mathematics in Pharmacokinetics What and Why (A second attempt to make it clearer)

Mathematics in Pharmacokinetics What and Why (A second attempt to make it clearer) Mahemaics in Pharmacokineics Wha and Why (A second aemp o make i clearer) We have used equaions for concenraion () as a funcion of ime (). We will coninue o use hese equaions since he plasma concenraions

More information

Derivations and Applications of Greek Letters Review and

Derivations and Applications of Greek Letters Review and Rvi //008 Chap 0 Divaion an Applicaion of Gk L Rviw an Ingaion By Hong-Yi Chn, Rug Univiy, USA Chng-Fw L, Rug Univiy, USA Wikang Shih, Rug Univiy, USA Abac In hi chap, w inouc h finiion of Gk l. W alo

More information

YIELD TO MATURITY ACCRUED INTEREST QUOTED PRICE INVOICE PRICE

YIELD TO MATURITY ACCRUED INTEREST QUOTED PRICE INVOICE PRICE YIELD TO MATURITY ACCRUED INTEREST QUOTED PRICE INVOICE PRICE Septembe 1999 Quoted Rate Teasuy Bills [Called Banke's Discount Rate] d = [ P 1 - P 1 P 0 ] * 360 [ N ] d = Bankes discount yield P 1 = face

More information

Return Calculation of U.S. Treasury Constant Maturity Indices

Return Calculation of U.S. Treasury Constant Maturity Indices Reurn Calculaion of US Treasur Consan Mauri Indices Morningsar Mehodolog Paper Sepeber 30 008 008 Morningsar Inc All righs reserved The inforaion in his docuen is he proper of Morningsar Inc Reproducion

More information

C Fast-Dealing Property Trading Game C

C Fast-Dealing Property Trading Game C AGES 8+ C Fas-Dealing Propery Trading Game C Y Collecor s Ediion Original MONOPOLY Game Rules plus Special Rules for his Ediion. CONTENTS Game board, 6 Collecible okens, 28 Tile Deed cards, 16 Wha he Deuce?

More information

The LCOE is defined as the energy price ($ per unit of energy output) for which the Net Present Value of the investment is zero.

The LCOE is defined as the energy price ($ per unit of energy output) for which the Net Present Value of the investment is zero. Poject Decision Metics: Levelized Cost of Enegy (LCOE) Let s etun to ou wind powe and natual gas powe plant example fom ealie in this lesson. Suppose that both powe plants wee selling electicity into the

More information

est using the formula I = Prt, where I is the interest earned, P is the principal, r is the interest rate, and t is the time in years.

est using the formula I = Prt, where I is the interest earned, P is the principal, r is the interest rate, and t is the time in years. 9.2 Inteest Objectives 1. Undestand the simple inteest fomula. 2. Use the compound inteest fomula to find futue value. 3. Solve the compound inteest fomula fo diffeent unknowns, such as the pesent value,

More information

The Grantor Retained Annuity Trust (GRAT)

The Grantor Retained Annuity Trust (GRAT) WEALTH ADVISORY Esae Planning Sraegies for closely-held, family businesses The Granor Reained Annuiy Trus (GRAT) An efficien wealh ransfer sraegy, paricularly in a low ineres rae environmen Family business

More information

ANALYSIS AND COMPARISONS OF SOME SOLUTION CONCEPTS FOR STOCHASTIC PROGRAMMING PROBLEMS

ANALYSIS AND COMPARISONS OF SOME SOLUTION CONCEPTS FOR STOCHASTIC PROGRAMMING PROBLEMS ANALYSIS AND COMPARISONS OF SOME SOLUTION CONCEPTS FOR STOCHASTIC PROGRAMMING PROBLEMS R. Caballero, E. Cerdá, M. M. Muñoz and L. Rey () Deparmen of Applied Economics (Mahemaics), Universiy of Málaga,

More information

C Fast-Dealing Property Trading Game C

C Fast-Dealing Property Trading Game C If you are already an experienced MONOPOLY dealer and wan a faser game, ry he rules on he back page! AGES 8+ C Fas-Dealing Propery Trading Game C Y Original MONOPOLY Game Rules plus Special Rules for his

More information

2.5 Life tables, force of mortality and standard life insurance products

2.5 Life tables, force of mortality and standard life insurance products Soluions 5 BS4a Acuarial Science Oford MT 212 33 2.5 Life ables, force of moraliy and sandard life insurance producs 1. (i) n m q represens he probabiliy of deah of a life currenly aged beween ages + n

More information

Graphs of Equations. A coordinate system is a way to graphically show the relationship between 2 quantities.

Graphs of Equations. A coordinate system is a way to graphically show the relationship between 2 quantities. Gaphs of Equations CHAT Pe-Calculus A coodinate sstem is a wa to gaphicall show the elationship between quantities. Definition: A solution of an equation in two vaiables and is an odeed pai (a, b) such

More information

Continuous Compounding and Annualization

Continuous Compounding and Annualization Continuous Compounding and Annualization Philip A. Viton Januay 11, 2006 Contents 1 Intoduction 1 2 Continuous Compounding 2 3 Pesent Value with Continuous Compounding 4 4 Annualization 5 5 A Special Poblem

More information

Lecture 2: Telegrapher Equations For Transmission Lines. Power Flow.

Lecture 2: Telegrapher Equations For Transmission Lines. Power Flow. Whies, EE 481 Lecure 2 Page 1 of 13 Lecure 2: Telegraher Equaions For Transmission Lines. Power Flow. Microsri is one mehod for making elecrical connecions in a microwae circui. I is consruced wih a ground

More information

Episode 401: Newton s law of universal gravitation

Episode 401: Newton s law of universal gravitation Episode 401: Newton s law of univesal gavitation This episode intoduces Newton s law of univesal gavitation fo point masses, and fo spheical masses, and gets students pactising calculations of the foce

More information

Why Did the Demand for Cash Decrease Recently in Korea?

Why Did the Demand for Cash Decrease Recently in Korea? Why Did he Demand for Cash Decrease Recenly in Korea? Byoung Hark Yoo Bank of Korea 26. 5 Absrac We explores why cash demand have decreased recenly in Korea. The raio of cash o consumpion fell o 4.7% in

More information

Morningstar Investor Return

Morningstar Investor Return Morningsar Invesor Reurn Morningsar Mehodology Paper Augus 31, 2010 2010 Morningsar, Inc. All righs reserved. The informaion in his documen is he propery of Morningsar, Inc. Reproducion or ranscripion

More information

AP Calculus BC 2010 Scoring Guidelines

AP Calculus BC 2010 Scoring Guidelines AP Calculus BC Scoring Guidelines The College Board The College Board is a no-for-profi membership associaion whose mission is o connec sudens o college success and opporuniy. Founded in, he College Board

More information

Experiment #1: Reflection, Refraction, and Dispersion

Experiment #1: Reflection, Refraction, and Dispersion Expeimen #1: Reflecion, Refacion, and Dispesion Pupose: To sudy eflecion and efacion of ligh a plane and cuved sufaces, as well as he phenomenon of dispesion. Equipmen: Ray Box wih Slis Opical Accessoies

More information

Answer, Key Homework 6 David McIntyre 45123 Mar 25, 2004 1

Answer, Key Homework 6 David McIntyre 45123 Mar 25, 2004 1 Answe, Key Homewok 6 vid McInye 4513 M 5, 004 1 This pin-ou should hve 0 quesions. Muliple-choice quesions my coninue on he nex column o pge find ll choices befoe mking you selecion. The due ime is Cenl

More information

1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z 1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z

1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z 1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z o ffix uden abel ere uden ame chool ame isric ame/ ender emale ale onh ay ear ae of irh an eb ar pr ay un ul ug ep c ov ec as ame irs ame lace he uden abel ere ae uden denifier chool se nly rined in he

More information

AMB111F Financial Maths Notes

AMB111F Financial Maths Notes AMB111F Financial Maths Notes Compound Inteest and Depeciation Compound Inteest: Inteest computed on the cuent amount that inceases at egula intevals. Simple inteest: Inteest computed on the oiginal fixed

More information

Acceleration Lab Teacher s Guide

Acceleration Lab Teacher s Guide Acceleraion Lab Teacher s Guide Objecives:. Use graphs of disance vs. ime and velociy vs. ime o find acceleraion of a oy car.. Observe he relaionship beween he angle of an inclined plane and he acceleraion

More information

Stability. Coefficients may change over time. Evolution of the economy Policy changes

Stability. Coefficients may change over time. Evolution of the economy Policy changes Sabiliy Coefficiens may change over ime Evoluion of he economy Policy changes Time Varying Parameers y = α + x β + Coefficiens depend on he ime period If he coefficiens vary randomly and are unpredicable,

More information

Chapter 13. Network Flow III Applications. 13.1 Edge disjoint paths. 13.1.1 Edge-disjoint paths in a directed graphs

Chapter 13. Network Flow III Applications. 13.1 Edge disjoint paths. 13.1.1 Edge-disjoint paths in a directed graphs Chaper 13 Nework Flow III Applicaion CS 573: Algorihm, Fall 014 Ocober 9, 014 13.1 Edge dijoin pah 13.1.1 Edge-dijoin pah in a direced graph 13.1.1.1 Edge dijoin pah queiong: graph (dir/undir)., : verice.

More information

Usefulness of the Forward Curve in Forecasting Oil Prices

Usefulness of the Forward Curve in Forecasting Oil Prices Usefulness of he Forward Curve in Forecasing Oil Prices Akira Yanagisawa Leader Energy Demand, Supply and Forecas Analysis Group The Energy Daa and Modelling Cener Summary When people analyse oil prices,

More information

A Note on Using the Svensson procedure to estimate the risk free rate in corporate valuation

A Note on Using the Svensson procedure to estimate the risk free rate in corporate valuation A Noe on Using he Svensson procedure o esimae he risk free rae in corporae valuaion By Sven Arnold, Alexander Lahmann and Bernhard Schwezler Ocober 2011 1. The risk free ineres rae in corporae valuaion

More information

Pricing Natural Gas in Mexico. Dagobert L. Brito* Juan Rosellon** June, 1999. Abstract

Pricing Natural Gas in Mexico. Dagobert L. Brito* Juan Rosellon** June, 1999. Abstract Picing Naual Gas in Mexico Dagobe L. Bio* Juan Rosellon** June, 999 Absac We sudy mechanisms fo linking he Mexican make fo naual gas wih he Noh Ameican make and show ha he neback ule is he efficien way

More information

Motion Along a Straight Line

Motion Along a Straight Line Moion Along a Sraigh Line On Sepember 6, 993, Dave Munday, a diesel mechanic by rade, wen over he Canadian edge of Niagara Falls for he second ime, freely falling 48 m o he waer (and rocks) below. On his

More information

Chapter 4: Matrix Norms

Chapter 4: Matrix Norms EE448/58 Vesion.0 John Stensby Chate 4: Matix Noms The analysis of matix-based algoithms often equies use of matix noms. These algoithms need a way to quantify the "size" of a matix o the "distance" between

More information

Stochastic Optimal Control Problem for Life Insurance

Stochastic Optimal Control Problem for Life Insurance Sochasic Opimal Conrol Problem for Life Insurance s. Basukh 1, D. Nyamsuren 2 1 Deparmen of Economics and Economerics, Insiue of Finance and Economics, Ulaanbaaar, Mongolia 2 School of Mahemaics, Mongolian

More information

Newton s Laws of Motion

Newton s Laws of Motion Newon s Laws of Moion MS4414 Theoreical Mechanics Firs Law velociy. In he absence of exernal forces, a body moves in a sraigh line wih consan F = 0 = v = cons. Khan Academy Newon I. Second Law body. The

More information

Mechanical Fasteners Tensile and Shear Stress Areas

Mechanical Fasteners Tensile and Shear Stress Areas Mechanical Faseners Tensile and Shear Sress reas Lecure 28 Engineering 473 Machine Design Threaded Faseners Bol Threaded fasener designed o pass hrough holes in maing members and o be secured by ighening

More information

Ilona V. Tregub, ScD., Professor

Ilona V. Tregub, ScD., Professor Investment Potfolio Fomation fo the Pension Fund of Russia Ilona V. egub, ScD., Pofesso Mathematical Modeling of Economic Pocesses Depatment he Financial Univesity unde the Govenment of the Russian Fedeation

More information

[TO BE PUBLISHED IN THE GAZETTE OF INDIA, EXTRAORDINARY, PART-II, SECTION-3, SUB-SECTION (i)]

[TO BE PUBLISHED IN THE GAZETTE OF INDIA, EXTRAORDINARY, PART-II, SECTION-3, SUB-SECTION (i)] [TO BE PUBLISHED IN THE GAZETTE OF INDIA, EXTRAORDINARY, PART-II, SECTION-3, SUB-SECTION (i)] GOVERNMENT OF INDIA MINISTRY OF FINANCE (DEPARTMENT OF REVENUE) Notification No. 32/2016 - Customs (N. T.)

More information

Advance Jounal of Food Science and Technology

Advance Jounal of Food Science and Technology Advance Jounal of Food Science and Technology 5(): 566-57, 03 ISSN: 04-4868; e-issn: 04-4876 Maxwell Scienific Oganizaion, 03 Subied: July 9, 03 Acceped: Augus 03, 03 Published: Decebe 05, 03 Sudy on he

More information

Vector Calculus: Are you ready? Vectors in 2D and 3D Space: Review

Vector Calculus: Are you ready? Vectors in 2D and 3D Space: Review Vecto Calculus: Ae you eady? Vectos in D and 3D Space: Review Pupose: Make cetain that you can define, and use in context, vecto tems, concepts and fomulas listed below: Section 7.-7. find the vecto defined

More information

Analyzing Cost of Debt and Credit Spreads Using a Two Factor Model with Multiple Default Thresholds and Varying Covenant Protection.

Analyzing Cost of Debt and Credit Spreads Using a Two Factor Model with Multiple Default Thresholds and Varying Covenant Protection. Analyzing Cos of Deb an Cei Speas Using a wo Faco Moel wih Muliple Defaul heshols an Vaying Covenan Poecion by S. Lakshmivaahan 1, Shengguang Qian 1 an Duane Sock June 16, 9 1) School of Compue Science,

More information

Kinematics in 1-D From Problems and Solutions in Introductory Mechanics (Draft version, August 2014) David Morin, morin@physics.harvard.

Kinematics in 1-D From Problems and Solutions in Introductory Mechanics (Draft version, August 2014) David Morin, morin@physics.harvard. Chaper 2 Kinemaics in 1-D From Problems and Soluions in Inroducory Mechanics (Draf ersion, Augus 2014) Daid Morin, morin@physics.harard.edu As menioned in he preface, his book should no be hough of as

More information

Circle Geometry (Part 3)

Circle Geometry (Part 3) Eam aer 3 ircle Geomery (ar 3) emen andard:.4.(c) yclic uadrilaeral La week we covered u otheorem 3, he idea of a convere and we alied our heory o ome roblem called IE. Okay, o now ono he ne chunk of heory

More information

Basic Financial Mathematics

Basic Financial Mathematics Financial Engineeing and Computations Basic Financial Mathematics Dai, Tian-Shy Outline Time Value of Money Annuities Amotization Yields Bonds Time Value of Money PV + n = FV (1 + FV: futue value = PV

More information

Voltage ( = Electric Potential )

Voltage ( = Electric Potential ) V-1 of 9 Voltage ( = lectic Potential ) An electic chage altes the space aound it. Thoughout the space aound evey chage is a vecto thing called the electic field. Also filling the space aound evey chage

More information