AMB111F Tut 10 Solutions

Size: px
Start display at page:

Download "AMB111F Tut 10 Solutions"

Transcription

1 AMB111F Tut 10 Solutions Question One 1.1 (a) Amount afte n yeas is A n = P (1 + the pincipal amount initially invested. When n = 6 yeas, A n = 9500, and = 8, then 9500 = P (1 + 8 )6. This implies P = 9500 = R (1.08) 6 (b) Amount afte n yeas is A n = P (1 + n ) whee = ate and P is the pincipal amount initially invested. When n = 6 yeas, A n = 9500, and = 8, then 9500 = P ( ). This implies P = 9500 = R (1.48) 1.2 Amount afte n yeas is A n = P (1 + the = [(A n /P ) 1/n 1] = [(1450/910) 1/8 1] = Amount afte n yeas is A n = P (1 + the = [(A n /P ) 1/n 1] = [(2P/P) 1/10 1]= Amount afte n yeas is A n = P (1 + the = [(A n /P ) 1/n 1] = [(2P/P) 1/7 1] = Value afte n yeas is V n = P (1 the initial value. Hee P = 00; n = 5 yeas; = 10, thus V 5 = 00(1 10 )5 = R

2 1.6 (a) Amount afte n yeas is A n = P (1 + the pincipal amount initially invested. When = 12 and n = 2 yeas, A 2 = P ( )2 = P (1.254) When =11.6and n = 2 yeas = 8 quates, A 2 = P ( )2 = P (1.257) > P(1.254) So 11.6% p.a. calculated quately is bette. (b) Amount afte n yeas is A n = P (1 + the pincipal amount initially invested. When = 12 and n = 5 yeas, A 5 = P ( )5 = P (1.7623) When =11.6 and n = 5 yeas = 20 quates, A 5 = P ( )20 = P (1.771) > P(1.7623) So 11.6% p.a. calculated quately is bette. Question Two 2.1 Value afte n yeas is V n = P (1 the initial value. Hee P = 2025; n = 10 yeas = 20 half yeas; =10.5/2 pe half yea, thus V 10 = 2025( )20 = R Amount afte n yeas is A n = P (1 + the pincipal amount initially invested. Thus log(a n /P )=nlog(1 + ), implying n = log(an/p ) = log(2250 2/2250) = quates = 8 yeas. log(1+ ) log( ) 2.3 Value afte n yeas is V n = P (1 the oiginal value. Thus log(v n /P )=nlog(1 log(vn/p ) ), implying n = = log(1 ) log( 1 3 P/P) log( ) =8.44 yeas. 2.4 Population afte n yeas is P n = P (1 + the oiginal population figue. Thus log(p n /P )=nlog(1 + ), implying the peiod is n = log(pn/p ) = log(200000/125324) =9.58 yeas. Thus the log(1+ ) log(1+ 5 ) population will exceed in

3 2.5 Amount afte n yeas is A n = P (1 + the pincipal amount initially invested. Thus log(a n /P )=nlog(1 + ), implying peiod is n = log(an/p ) log(1+ ). (a) n = log(800/512) =13.45 quates = 3.36 yeas. log( ) 400 (b) n = log(800/512) =39.9 quates = 3.32 yeas. log( ) Amount afte n yeas is A n = P (1 + the pincipal amount initially invested. Thus (A n /P ) 1/n =(1+ ), implying = [(100/30000) 1/10 1] = Since > 12.5, the appeciation ate has kept up with the aveage inflation ate. Question Thee 3.1 (a) FV = P [(1 + )n 1] whee P is a fixed peiodic deposit. Theefoe Futue value is FV = 2000 [( )10 1] = R (b) Futue value is FV = P (1 + /)[(1 + )n 1] = 2000 ( /)[(1 + 5 )10 1] = R (c) FV = P [(1 + )n 1] whee P is a fixed peiodic deposit. Theefoe Futue value is FV = [( )30 1] = R (d) FV = P deposit. Theefoe Futue value is FV = R (1 + /)[(1 + )n 1] whee P is a fixed peiodic (1 + 12/200)[( )30 1] = 3.2 (a) 5 deposits (b) FV = A = P (1 + /)[(1 + )n 1] = 5000 ( /)[( )4 1] = R Thus she does not have 3

4 enough money fo the deposit since she needs R Inteest = R( ) = R (a) FV = PV(1 + /) n FV implies PV = = 000 = (1+/) n (1+8/) 20 R (b) FV = PV(1 + /) n FV implies PV = = 000 = (1+/) n (1+8/200) 40 R (c) FV = PV(1 + /) n implies PV = R (d) FV = PV(1 + /) n implies PV = R FV (1+/) n = FV (1+/) n = 000 (1+8/400) 80 = 000 (1+8/1200) 240 = 3.4 Fixed deposit = P = FV [(1+ = 12(525000) )n 1] [(1+ 12 )5 1] = R FV = P (1 + /)[(1 + )n 1] implies fixed deposit = P = = R FV (1+/)[(1+ = 12(525000) )n 1] ( )[(1+ )5 1] 3.6 FV = PV(1+/) n FV implies PV = and also FV = P [(1+ (1+/) n )n 1] = [( )30 1] = Theefoe PV = FV = = R (1+/) n (1+8/) 30 Question Fou 4.1 (a) FV = P [(1 + )n 1] whee P is a fixed peiodic deposit. Theefoe Futue value is FV = [( )50 1] = R (b) FV = PV(1 + )n whee PV is a single deposit. Theefoe Futue value is FV = 3750( )50 = R Theefoe (b) yields a bigge etun. 4

5 4.2 The total cost of epayment is just like a futue value in an annuity with pesent value PV = Now PV = P [(1+ )n 1] (1+/) n implies P = PV((1+/) n ) = R [(1+ )n 1] = PV ((1+/)n ) [(1+ = (8/1200)750000((1+8/1200)288 ) )n 1] [( )288 1] = monthly epayments. Thus the total payable = R = R (Note that 24 yeas = 288 months). 4.3 (a) Let PV = R Then the futue value of the machine is FV = PV(1 + /) n = (1 + 13/) 11 = R = Replacement Cost (b) Scap value is SV = PV(1 /) n = (1 9/) 11 = R (c) Now FV - SV = R R = R is the equied value (SF) of the sinking fund. Conside SF = P (1 /)[(1 + )n 1] whee P = fixed instalment. Thus SF P = = R ( = [(1+ )n 1](1+/) 1200[( )132 1](1+14/1200) monthly instalments payable). 4.4 (a) Scap value is SV = PV(1 /) n = (1 10/) 8 = R (b) Let PV = R Then the futue value of the machine is FV = PV(1 + /) n = (1 + 18/) 8 = R = Replacement Cost (c) Now FV - SV = R R = R is the equied value (SF) of the sinking fund. (d) Conside SF = P (1 + /)[(1 + )n 1] whee P = fixed instalment. Thus P = = = SF [(1+ )n 1](1+/) 1200[( )96 1](1+12/1200) R ( = monthly instalments payable). END 5

4. Some Applications of first order linear differential

4. Some Applications of first order linear differential August 30, 2011 4-1 4. Some Applications of fist ode linea diffeential Equations The modeling poblem Thee ae seveal steps equied fo modeling scientific phenomena 1. Data collection (expeimentation) Given

More information

Math 1525 Excel Lab 3 Exponential and Logarithmic Functions Spring, 2001

Math 1525 Excel Lab 3 Exponential and Logarithmic Functions Spring, 2001 Math 1525 Excel Lab 3 Exponential and Logaithmic Functions 1 Math 1525 Excel Lab 3 Exponential and Logaithmic Functions Sping, 21 Goal: The goals of Lab 3 ae to illustate exponential, logaithmic, and logistic

More information

Introduction to Money & Banking Lecture notes 3/2012. Matti Estola

Introduction to Money & Banking Lecture notes 3/2012. Matti Estola Intoduction to Mone & Banking Lectue notes 3/22 Matti Estola Inteest and pesent value calculation Tansfoation equations between inteest ates Inteest calculation Inteest ate (/t is the ate of etun of an

More information

Graphs of Sine and Cosine Functions

Graphs of Sine and Cosine Functions Gaphs of Sine and Cosine Functions In pevious sections, we defined the tigonometic o cicula functions in tems of the movement of a point aound the cicumfeence of a unit cicle, o the angle fomed by the

More information

C/CS/Phys C191 Shor s order (period) finding algorithm and factoring 11/12/14 Fall 2014 Lecture 22

C/CS/Phys C191 Shor s order (period) finding algorithm and factoring 11/12/14 Fall 2014 Lecture 22 C/CS/Phys C9 Sho s ode (peiod) finding algoithm and factoing /2/4 Fall 204 Lectue 22 With a fast algoithm fo the uantum Fouie Tansfom in hand, it is clea that many useful applications should be possible.

More information

Solution to HW 3, Ma 1a Fall 2016

Solution to HW 3, Ma 1a Fall 2016 Solution to HW 3, Ma a Fall 206 Section 2. Execise 2: Let C be a subset of the eal numbes consisting of those eal numbes x having the popety that evey digit in the decimal expansion of x is, 3, 5, o 7.

More information

Suppose you have a bank account that earns interest at rate r, and you have made an initial deposit of X 0

Suppose you have a bank account that earns interest at rate r, and you have made an initial deposit of X 0 IOECONOMIC MODEL OF A FISHERY (ontinued) Dynami Maximum Eonomi Yield In ou deivation of maximum eonomi yield (MEY) we examined a system at equilibium and ou analysis made no distintion between pofits in

More information

1 Explicit Explore or Exploit (E 3 ) Algorithm

1 Explicit Explore or Exploit (E 3 ) Algorithm 2.997 Decision-Making in Lage-Scale Systems Mach 3 MIT, Sping 2004 Handout #2 Lectue Note 9 Explicit Exploe o Exploit (E 3 ) Algoithm Last lectue, we studied the Q-leaning algoithm: [ ] Q t+ (x t, a t

More information

CHAPTER 3. Section 1. Modeling Population Growth

CHAPTER 3. Section 1. Modeling Population Growth CHAPTER 3 Section 1. Modeling Population Gowth 1.1. The equation of the Malthusian model is Pt) = Ce t. Apply the initial condition P) = 1. Then 1 = Ce,oC = 1. Next apply the condition P1) = 3. Then 3

More information

Application 4.3B Comets and Spacecraft

Application 4.3B Comets and Spacecraft Application 4.3B Comets and Spacecaft The investigations outlined hee ae intended as applications of the moe sophisticated numeical DE solves that ae "built into" computing systems such as Maple, Mathematica,

More information

LINEAR AND NONLINEAR ANALYSES OF A WIND-TUNNEL BALANCE

LINEAR AND NONLINEAR ANALYSES OF A WIND-TUNNEL BALANCE LINEAR AND NONLINEAR ANALYSES O A WIND-TUNNEL INTRODUCTION BALANCE R. Kakehabadi and R. D. Rhew NASA LaRC, Hampton, VA The NASA Langley Reseach Cente (LaRC) has been designing stain-gauge balances fo utilization

More information

FW Laboratory Exercise. Survival Estimation from Banded/Tagged Animals. Year No. i Tagged

FW Laboratory Exercise. Survival Estimation from Banded/Tagged Animals. Year No. i Tagged FW66 -- Laboatoy Execise uvival Estimation fom Banded/Tagged Animals Conside a geogaphically closed population of tout (Youngs and Robson 97). The adults ae tagged duing fall spawning, and subsequently

More information

Variables and Formulas

Variables and Formulas 64 Vaiales and Fomulas Vaiales and Fomulas DEFINITIONS & BASICS 1) Vaiales: These symols, eing lettes, actually epesent numes, ut the numes can change fom time to time, o vay. Thus they ae called vaiales.

More information

Advanced Subsidiary GCE (H157) Advanced GCE (H557) Physics B (Advancing Physics) Data, Formulae and Relationships Booklet

Advanced Subsidiary GCE (H157) Advanced GCE (H557) Physics B (Advancing Physics) Data, Formulae and Relationships Booklet Advanced Subsidiay GCE (H57) Advanced GCE (H557) Physics B (Advancing Physics) Data, Fomulae and Relationships Booklet The infomation in this booklet is fo the use of candidates following the Advanced

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Physics Department. Problem Set 10 Solutions. r s

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Physics Department. Problem Set 10 Solutions. r s MASSACHUSETTS INSTITUTE OF TECHNOLOGY Physics Depatment Physics 8.033 Decembe 5, 003 Poblem Set 10 Solutions Poblem 1 M s y x test paticle The figue above depicts the geomety of the poblem. The position

More information

An Inventory Model for Two Warehouses with Constant Deterioration and Quadratic Demand Rate under Inflation and Permissible Delay in Payments

An Inventory Model for Two Warehouses with Constant Deterioration and Quadratic Demand Rate under Inflation and Permissible Delay in Payments Ameican Jounal of Engineeing Reseach (AJER) 16 Ameican Jounal of Engineeing Reseach (AJER) e-issn: 3-847 p-issn : 3-936 Volume-5, Issue-6, pp-6-73 www.aje.og Reseach Pape Open Access An Inventoy Model

More information

QUALITATIVE AND QUANTITATIVE ANALYSIS OF MUSCLE POWER

QUALITATIVE AND QUANTITATIVE ANALYSIS OF MUSCLE POWER QUALITATIVE AND QUANTITATIVE ANALYSIS OF MUSCLE POWER Jey N. Baham Anand B. Shetty Mechanical Kinesiology Laboatoy Depatment of Kinesiology Univesity of Nothen Coloado Geeley, Coloado Muscle powe is one

More information

MAP4C1 Exam Review. 4. Juno makes and sells CDs for her band. The cost, C dollars, to produce n CDs is given by. Determine the cost of making 150 CDs.

MAP4C1 Exam Review. 4. Juno makes and sells CDs for her band. The cost, C dollars, to produce n CDs is given by. Determine the cost of making 150 CDs. MAP4C1 Exam Review Exam Date: Time: Room: Mak Beakdown: Answe these questions on a sepaate page: 1. Which equations model quadatic elations? i) ii) iii) 2. Expess as a adical and then evaluate: a) b) 3.

More information

ASTR415: Problem Set #6

ASTR415: Problem Set #6 ASTR45: Poblem Set #6 Cuan D. Muhlbege Univesity of Mayland (Dated: May 7, 27) Using existing implementations of the leapfog and Runge-Kutta methods fo solving coupled odinay diffeential equations, seveal

More information

TANTON S TAKE ON CONTINUOUS COMPOUND INTEREST

TANTON S TAKE ON CONTINUOUS COMPOUND INTEREST CURRICULUM ISPIRATIOS: www.maa.og/ci www.theglobalmathpoject.og IOVATIVE CURRICULUM OLIE EXPERIECES: www.gdaymath.com TATO TIDBITS: www.jamestanton.com TATO S TAKE O COTIUOUS COMPOUD ITEREST DECEMBER 208

More information

ALL INDIA TEST SERIES

ALL INDIA TEST SERIES Fom Classoom/Integated School Pogams 7 in Top 0, in Top 00, 54 in Top 00, 06 in Top 500 All India Ranks & 4 Students fom Classoom /Integated School Pogams & 7 Students fom All Pogams have been Awaded a

More information

Central Coverage Bayes Prediction Intervals for the Generalized Pareto Distribution

Central Coverage Bayes Prediction Intervals for the Generalized Pareto Distribution Statistics Reseach Lettes Vol. Iss., Novembe Cental Coveage Bayes Pediction Intevals fo the Genealized Paeto Distibution Gyan Pakash Depatment of Community Medicine S. N. Medical College, Aga, U. P., India

More information

The evolution of the phase space density of particle beams in external fields

The evolution of the phase space density of particle beams in external fields The evolution of the phase space density of paticle beams in extenal fields E.G.Bessonov Lebedev Phys. Inst. RAS, Moscow, Russia, COOL 09 Wokshop on Beam Cooling and Related Topics August 31 Septembe 4,

More information

Handout: IS/LM Model

Handout: IS/LM Model Econ 32 - IS/L odel Notes Handout: IS/L odel IS Cuve Deivation Figue 4-4 in the textbook explains one deivation of the IS cuve. This deivation uses the Induced Savings Function fom Chapte 3. Hee, I descibe

More information

Determining solar characteristics using planetary data

Determining solar characteristics using planetary data Detemining sola chaacteistics using planetay data Intoduction The Sun is a G-type main sequence sta at the cente of the Sola System aound which the planets, including ou Eath, obit. In this investigation

More information

The Substring Search Problem

The Substring Search Problem The Substing Seach Poblem One algoithm which is used in a vaiety of applications is the family of substing seach algoithms. These algoithms allow a use to detemine if, given two chaacte stings, one is

More information

Physics 201 Homework 4

Physics 201 Homework 4 Physics 201 Homewok 4 Jan 30, 2013 1. Thee is a cleve kitchen gadget fo dying lettuce leaves afte you wash them. 19 m/s 2 It consists of a cylindical containe mounted so that it can be otated about its

More information

SIO 229 Gravity and Geomagnetism. Lecture 6. J 2 for Earth. J 2 in the solar system. A first look at the geoid.

SIO 229 Gravity and Geomagnetism. Lecture 6. J 2 for Earth. J 2 in the solar system. A first look at the geoid. SIO 229 Gavity and Geomagnetism Lectue 6. J 2 fo Eath. J 2 in the sola system. A fist look at the geoid. The Thee Big Themes of the Gavity Lectues 1.) An ellipsoidal otating Eath Refeence body (mass +

More information

Pulse Neutron Neutron (PNN) tool logging for porosity Some theoretical aspects

Pulse Neutron Neutron (PNN) tool logging for porosity Some theoretical aspects Pulse Neuton Neuton (PNN) tool logging fo poosity Some theoetical aspects Intoduction Pehaps the most citicism of Pulse Neuton Neuon (PNN) logging methods has been chage that PNN is to sensitive to the

More information

UNIVERSITY OF KWA-ZULU NATAL

UNIVERSITY OF KWA-ZULU NATAL UNIVERSITY OF KWA-ZULU NATAL EXAMINATIONS: June 006 Solutions Subject, course and code: Mathematics 34 MATH34P Multiple Choice Answers. B. B 3. E 4. E 5. C 6. A 7. A 8. C 9. A 0. D. C. A 3. D 4. E 5. B

More information

Mechanics and Special Relativity (MAPH10030) Assignment 3

Mechanics and Special Relativity (MAPH10030) Assignment 3 (MAPH0030) Assignment 3 Issue Date: 03 Mach 00 Due Date: 4 Mach 00 In question 4 a numeical answe is equied with pecision to thee significant figues Maks will be deducted fo moe o less pecision You may

More information

LESSON 15: COMPOUND INTEREST

LESSON 15: COMPOUND INTEREST High School: Expoeial Fuctios LESSON 15: COMPOUND INTEREST 1. You have see this fomula fo compoud ieest. Paamete P is the picipal amou (the moey you stat with). Paamete is the ieest ate pe yea expessed

More information

A Two-Dimensional Bisection Envelope Algorithm for Fixed Points

A Two-Dimensional Bisection Envelope Algorithm for Fixed Points A Two-imensional Bisection Envelope Algoithm fo Fied Points Kis Siosi and Spence Shellman Fom pulished Jounal of Compleity 8, 64-659(00 Intoduction How we solve fo two-dimensional f ( domain: [0, ]X[0,

More information

ASTR 3740 Relativity & Cosmology Spring Answers to Problem Set 4.

ASTR 3740 Relativity & Cosmology Spring Answers to Problem Set 4. ASTR 3740 Relativity & Comology Sping 019. Anwe to Poblem Set 4. 1. Tajectoie of paticle in the Schwazchild geomety The equation of motion fo a maive paticle feely falling in the Schwazchild geomety ae

More information

15 Solving the Laplace equation by Fourier method

15 Solving the Laplace equation by Fourier method 5 Solving the Laplace equation by Fouie method I aleady intoduced two o thee dimensional heat equation, when I deived it, ecall that it taes the fom u t = α 2 u + F, (5.) whee u: [0, ) D R, D R is the

More information

7.2.1 Basic relations for Torsion of Circular Members

7.2.1 Basic relations for Torsion of Circular Members Section 7. 7. osion In this section, the geomety to be consideed is that of a long slende cicula ba and the load is one which twists the ba. Such poblems ae impotant in the analysis of twisting components,

More information

Phys 201A. Homework 5 Solutions

Phys 201A. Homework 5 Solutions Phys 201A Homewok 5 Solutions 3. In each of the thee cases, you can find the changes in the velocity vectos by adding the second vecto to the additive invese of the fist and dawing the esultant, and by

More information

Suggested Solutions to Homework #4 Econ 511b (Part I), Spring 2004

Suggested Solutions to Homework #4 Econ 511b (Part I), Spring 2004 Suggested Solutions to Homewok #4 Econ 5b (Pat I), Sping 2004. Conside a neoclassical gowth model with valued leisue. The (epesentative) consume values steams of consumption and leisue accoding to P t=0

More information

Double-angle & power-reduction identities. Elementary Functions. Double-angle & power-reduction identities. Double-angle & power-reduction identities

Double-angle & power-reduction identities. Elementary Functions. Double-angle & power-reduction identities. Double-angle & power-reduction identities Double-angle & powe-eduction identities Pat 5, Tigonomety Lectue 5a, Double Angle and Powe Reduction Fomulas In the pevious pesentation we developed fomulas fo cos( β) and sin( β) These fomulas lead natually

More information

F-IF Logistic Growth Model, Abstract Version

F-IF Logistic Growth Model, Abstract Version F-IF Logistic Gowth Model, Abstact Vesion Alignments to Content Standads: F-IFB4 Task An impotant example of a model often used in biology o ecology to model population gowth is called the logistic gowth

More information

3.6 Applied Optimization

3.6 Applied Optimization .6 Applied Optimization Section.6 Notes Page In this section we will be looking at wod poblems whee it asks us to maimize o minimize something. Fo all the poblems in this section you will be taking the

More information

Math 166 Week-in-Review - S. Nite 11/10/2012 Page 1 of 5 WIR #9 = 1+ r eff. , where r. is the effective interest rate, r is the annual

Math 166 Week-in-Review - S. Nite 11/10/2012 Page 1 of 5 WIR #9 = 1+ r eff. , where r. is the effective interest rate, r is the annual Math 66 Week-i-Review - S. Nite // Page of Week i Review #9 (F-F.4, 4.-4.4,.-.) Simple Iteest I = Pt, whee I is the iteest, P is the picipal, is the iteest ate, ad t is the time i yeas. P( + t), whee A

More information

GRADE 12 SEPTEMBER 2012 MATHEMATICS P1

GRADE 12 SEPTEMBER 2012 MATHEMATICS P1 Province of the EASTERN CAPE EDUCATION NATIONAL SENIOR CERTIFICATE GRADE 12 SEPTEMBER 2012 MATHEMATICS P1 MARKS: 150 TIME: 3 hours *MATHE1* This question paper consists of 8 pages, 3 diagram sheets and

More information

EM Boundary Value Problems

EM Boundary Value Problems EM Bounday Value Poblems 10/ 9 11/ By Ilekta chistidi & Lee, Seung-Hyun A. Geneal Desciption : Maxwell Equations & Loentz Foce We want to find the equations of motion of chaged paticles. The way to do

More information

arxiv: v2 [astro-ph] 16 May 2008

arxiv: v2 [astro-ph] 16 May 2008 New Anomalies in Cosmic Micowave Backgound Anisotopy: Violation of the Isotopic Gaussian Hypothesis in Low-l Modes Shi Chun, Su and M.-C., Chu Depatment of Physics and Institute of Theoetical Physics,

More information

BIFURCATION ANALYSIS FOR A QUASI-LINEAR CENTRIFUGAL PENDULUM ABSORBER

BIFURCATION ANALYSIS FOR A QUASI-LINEAR CENTRIFUGAL PENDULUM ABSORBER 11 th Intenational Confeence on Vibation Poblems Z. Dimitovová et al. (eds.) Lisbon, Potugal, 9-12 Septembe 213 BIFURCATION ANALYSIS FOR A QUASI-LINEAR CENTRIFUGAL PENDULUM ABSORBER Eugen B. Keme* 1, Mikhail

More information

MATH section 2.7 Related Rates Page 1 of 7

MATH section 2.7 Related Rates Page 1 of 7 MATH 0100 section.7 Related Rates Page 1 of 7 Unfotunatel, thee isn t much I can infom befoe ou encounte difficulties in this section. Remembe that this section is all wod poblems. You must be able to

More information

1. A stone falls from a platform 18 m high. When will it hit the ground? (a) 1.74 s (b) 1.83 s (c) 1.92 s (d) 2.01 s

1. A stone falls from a platform 18 m high. When will it hit the ground? (a) 1.74 s (b) 1.83 s (c) 1.92 s (d) 2.01 s 1. A stone falls fom a platfom 18 m high. When will it hit the gound? (a) 1.74 s (b) 1.83 s (c) 1.9 s (d).01 s Constant acceleation D = v 0 t + ½ a t. Which, if any, of these foces causes the otation of

More information

Welcome to Aerospace Engineering

Welcome to Aerospace Engineering Welcome to Aeospace Engineeing DESIGN-CENTERED INTRODUCTION TO AEROSPACE ENGINEERING Notes 9 Topics 1. Couse Oganization. Today's Deams in Vaious Speed Ranges 3. Designing a Flight Vehicle: Route Map of

More information

2.5 The Quarter-Wave Transformer

2.5 The Quarter-Wave Transformer /3/5 _5 The Quate Wave Tansfome /.5 The Quate-Wave Tansfome Reading Assignment: pp. 73-76 By now you ve noticed that a quate-wave length of tansmission line ( λ 4, β π ) appeas often in micowave engineeing

More information

2 = 41( ) = 8897 (A1)

2 = 41( ) = 8897 (A1) . Find the sum of the arithmetic series 7 + 7 + 7 +...+ 47. (Total 4 marks) R. 7 + 7 + 7 +... + 47 7 + (n )0 = 47 0(n ) = 400 n = 4 (A) 4 S 4 = ((7) + 40(0)) = 4(7 + 00) = 8897 (A) OR 4 S 4 = (7 + 47)

More information

MCF 3M Practice Exam. A7. For the quadratic function y = (x - 4)(x - 8), the coordinates of the vertex are: a. (4, 8) b. (6, 0) c. (6, 22) d.

MCF 3M Practice Exam. A7. For the quadratic function y = (x - 4)(x - 8), the coordinates of the vertex are: a. (4, 8) b. (6, 0) c. (6, 22) d. MCF 3M Practice Exam This is a practice exam. It does not cover all the material in this course and should not be the only review that you do in preparation for your final exam. Your exam may contain questions

More information

Phys101 Lectures 30, 31. Wave Motion

Phys101 Lectures 30, 31. Wave Motion Phys0 Lectues 30, 3 Wave Motion Key points: Types of Waves: Tansvese and Longitudinal Mathematical Repesentation of a Taveling Wave The Pinciple of Supeposition Standing Waves; Resonance Ref: -7,8,9,0,,6,,3,6.

More information

Splay Trees Handout. Last time we discussed amortized analysis of data structures

Splay Trees Handout. Last time we discussed amortized analysis of data structures Spla Tees Handout Amotied Analsis Last time we discussed amotied analsis of data stuctues A wa of epessing that even though the wost-case pefomance of an opeation can be bad, the total pefomance of a sequence

More information

13. Adiabatic Invariants and Action-Angle Variables Michael Fowler

13. Adiabatic Invariants and Action-Angle Variables Michael Fowler 3 Adiabatic Invaiants and Action-Angle Vaiables Michael Fowle Adiabatic Invaiants Imagine a paticle in one dimension oscillating back and foth in some potential he potential doesn t have to be hamonic,

More information

2. The Munich chain ladder method

2. The Munich chain ladder method ntoduction ootstapping has become vey popula in stochastic claims eseving because of the simplicity and flexibility of the appoach One of the main easons fo this is the ease with which it can be implemented

More information

Radian Measure CHAPTER 5 MODELLING PERIODIC FUNCTIONS

Radian Measure CHAPTER 5 MODELLING PERIODIC FUNCTIONS 5.4 Radian Measue So fa, ou hae measued angles in degees, with 60 being one eolution aound a cicle. Thee is anothe wa to measue angles called adian measue. With adian measue, the ac length of a cicle is

More information

Introduction and Vectors

Introduction and Vectors SOLUTIONS TO PROBLEMS Intoduction and Vectos Section 1.1 Standads of Length, Mass, and Time *P1.4 Fo eithe sphee the volume is V = 4! and the mass is m =!V =! 4. We divide this equation fo the lage sphee

More information

Special Maths Exam Paper 1 November 2014 Solutions

Special Maths Exam Paper 1 November 2014 Solutions Special Maths Exam Paper 1 November 2014 Solutions Question One 1.1 L : y = x 4. Therefore the slope of L is. (a) Since L 1 L, it follows that the slope of L 1 equals. Therefore the equation of L 1 is

More information

An Exact Solution of Navier Stokes Equation

An Exact Solution of Navier Stokes Equation An Exact Solution of Navie Stokes Equation A. Salih Depatment of Aeospace Engineeing Indian Institute of Space Science and Technology, Thiuvananthapuam, Keala, India. July 20 The pincipal difficulty in

More information

Electrostatics. 1. Show does the force between two point charges change if the dielectric constant of the medium in which they are kept increase?

Electrostatics. 1. Show does the force between two point charges change if the dielectric constant of the medium in which they are kept increase? Electostatics 1. Show does the foce between two point chages change if the dielectic constant of the medium in which they ae kept incease? 2. A chaged od P attacts od R whee as P epels anothe chaged od

More information

Circular Orbits. and g =

Circular Orbits. and g = using analyse planetay and satellite motion modelled as unifom cicula motion in a univesal gavitation field, a = v = 4π and g = T GM1 GM and F = 1M SATELLITES IN OBIT A satellite is any object that is

More information

ST 501 Course: Fundamentals of Statistical Inference I. Sujit K. Ghosh.

ST 501 Course: Fundamentals of Statistical Inference I. Sujit K. Ghosh. ST 501 Couse: Fundamentals of Statistical Infeence I Sujit K. Ghosh sujit.ghosh@ncsu.edu Pesented at: 2229 SAS Hall, Depatment of Statistics, NC State Univesity http://www.stat.ncsu.edu/people/ghosh/couses/st501/

More information

Thomas J. Osler Mathematics Department, Rowan University, Glassboro NJ 08028,

Thomas J. Osler Mathematics Department, Rowan University, Glassboro NJ 08028, 1 Feb 6, 001 An unusual appoach to Keple s fist law Ameican Jounal of Physics, 69(001), pp. 106-8. Thomas J. Osle Mathematics Depatment, Rowan Univesity, Glassboo NJ 0808, osle@owan.edu Keple s fist law

More information

1 Similarity Analysis

1 Similarity Analysis ME43A/538A/538B Axisymmetic Tubulent Jet 9 Novembe 28 Similaity Analysis. Intoduction Conside the sketch of an axisymmetic, tubulent jet in Figue. Assume that measuements of the downsteam aveage axial

More information

Surveillance Points in High Dimensional Spaces

Surveillance Points in High Dimensional Spaces Société de Calcul Mathématique SA Tools fo decision help since 995 Suveillance Points in High Dimensional Spaces by Benad Beauzamy Januay 06 Abstact Let us conside any compute softwae, elying upon a lage

More information

Absolute Specifications: A typical absolute specification of a lowpass filter is shown in figure 1 where:

Absolute Specifications: A typical absolute specification of a lowpass filter is shown in figure 1 where: FIR FILTER DESIGN The design of an digital filte is caied out in thee steps: ) Specification: Befoe we can design a filte we must have some specifications. These ae detemined by the application. ) Appoximations

More information

Growth - lecture note for ECON1910

Growth - lecture note for ECON1910 Gowth - lectue note fo ECON1910 Jøgen Heibø Modalsli Mach 11, 2008 This lectue note is meant as a supplement to the cuiculum, in paticula to Ray (1998). In some of the lectues I will use slightly diffeent

More information

Problem Set 10 Solutions

Problem Set 10 Solutions Chemisty 6 D. Jean M. Standad Poblem Set 0 Solutions. Give the explicit fom of the Hamiltonian opeato (in atomic units) fo the lithium atom. You expession should not include any summations (expand them

More information

[ ] [ ] 3.3 Given: turning corner radius, r ε = 0 mm lead angle, ψ r = 15 back rake angle, γ p = 5 side rake angle, γ f = 5

[ ] [ ] 3.3 Given: turning corner radius, r ε = 0 mm lead angle, ψ r = 15 back rake angle, γ p = 5 side rake angle, γ f = 5 33 Given: tuning cone adius, ε = 0 mm lead angle, ψ = 5 back ake angle, γ p = 5 side ake angle, γ f = 5 initial wokpiece diamete, D w = 00 mm specific cutting and thust enegy models feed ate, f = 020 mm/ev

More information

Exponential and Logarithmic Equations and Properties of Logarithms. Properties. Properties. log. Exponential. Logarithmic.

Exponential and Logarithmic Equations and Properties of Logarithms. Properties. Properties. log. Exponential. Logarithmic. Eponenial and Logaihmic Equaions and Popeies of Logaihms Popeies Eponenial a a s = a +s a /a s = a -s (a ) s = a s a b = (ab) Logaihmic log s = log + logs log/s = log - logs log s = s log log a b = loga

More information

Bifurcation Analysis for the Delay Logistic Equation with Two Delays

Bifurcation Analysis for the Delay Logistic Equation with Two Delays IOSR Jounal of Mathematics (IOSR-JM) e-issn: 78-578, p-issn: 39-765X. Volume, Issue 5 Ve. IV (Sep. - Oct. 05), PP 53-58 www.iosjounals.og Bifucation Analysis fo the Delay Logistic Equation with Two Delays

More information

arxiv:gr-qc/ v1 30 May 2002

arxiv:gr-qc/ v1 30 May 2002 Themodynamical Popeties of Hoizons Jamo Mäkelä and Ai Peltola Depatment of Physics, Univesity of Jyväskylä, PB 35 (YFL, FIN-40351 Jyväskylä, Finland (Dated: May 30, 2002 We show, by using Regge calculus,

More information

Solving Problems of Advance of Mercury s Perihelion and Deflection of. Photon Around the Sun with New Newton s Formula of Gravity

Solving Problems of Advance of Mercury s Perihelion and Deflection of. Photon Around the Sun with New Newton s Formula of Gravity Solving Poblems of Advance of Mecuy s Peihelion and Deflection of Photon Aound the Sun with New Newton s Fomula of Gavity Fu Yuhua (CNOOC Reseach Institute, E-mail:fuyh945@sina.com) Abstact: Accoding to

More information

6.641 Electromagnetic Fields, Forces, and Motion Spring 2005

6.641 Electromagnetic Fields, Forces, and Motion Spring 2005 MIT OpenouseWae http://ocw.mit.edu 6.641 Electomagnetic Fields, Foces, and Motion Sping 2005 Fo infomation about citing these mateials o ou Tems of Use, visit: http://ocw.mit.edu/tems. 6.641 Electomagnetic

More information

Gaia s Place in Space

Gaia s Place in Space Gaia s Place in Space The impotance of obital positions fo satellites Obits and Lagange Points Satellites can be launched into a numbe of diffeent obits depending on thei objectives and what they ae obseving.

More information

DYNAMICS OF UNIFORM CIRCULAR MOTION

DYNAMICS OF UNIFORM CIRCULAR MOTION Chapte 5 Dynamics of Unifom Cicula Motion Chapte 5 DYNAMICS OF UNIFOM CICULA MOTION PEVIEW An object which is moing in a cicula path with a constant speed is said to be in unifom cicula motion. Fo an object

More information

Lecture 5 Solving Problems using Green s Theorem. 1. Show how Green s theorem can be used to solve general electrostatic problems 2.

Lecture 5 Solving Problems using Green s Theorem. 1. Show how Green s theorem can be used to solve general electrostatic problems 2. Lectue 5 Solving Poblems using Geen s Theoem Today s topics. Show how Geen s theoem can be used to solve geneal electostatic poblems. Dielectics A well known application of Geen s theoem. Last time we

More information

Performance and power dissipation analysis for CCD memory systems

Performance and power dissipation analysis for CCD memory systems Pefomance and powe dissipation analysis fo CCD memoy systems Buoughs Copoation Piscataway, New Jesey ABSTRACT n CCD memoy systems a tadeoff exists between the fequency at which the memoy system is opeated

More information

Lecture 8 - Gauss s Law

Lecture 8 - Gauss s Law Lectue 8 - Gauss s Law A Puzzle... Example Calculate the potential enegy, pe ion, fo an infinite 1D ionic cystal with sepaation a; that is, a ow of equally spaced chages of magnitude e and altenating sign.

More information

2 Governing Equations

2 Governing Equations 2 Govening Equations This chapte develops the govening equations of motion fo a homogeneous isotopic elastic solid, using the linea thee-dimensional theoy of elasticity in cylindical coodinates. At fist,

More information

Kepler s problem gravitational attraction

Kepler s problem gravitational attraction Kele s oblem gavitational attaction Summay of fomulas deived fo two-body motion Let the two masses be m and m. The total mass is M = m + m, the educed mass is µ = m m /(m + m ). The gavitational otential

More information

Physics 505 Homework No. 9 Solutions S9-1

Physics 505 Homework No. 9 Solutions S9-1 Physics 505 Homewok No 9 s S9-1 1 As pomised, hee is the tick fo summing the matix elements fo the Stak effect fo the gound state of the hydogen atom Recall, we need to calculate the coection to the gound

More information

PDF Created with deskpdf PDF Writer - Trial ::

PDF Created with deskpdf PDF Writer - Trial :: A APPENDIX D TRIGONOMETRY Licensed to: jsamuels@bmcc.cun.edu PDF Ceated with deskpdf PDF Wite - Tial :: http://www.docudesk.com D T i g o n o m e t FIGURE a A n g l e s Angles can be measued in degees

More information

Circular Motion & Torque Test Review. The period is the amount of time it takes for an object to travel around a circular path once.

Circular Motion & Torque Test Review. The period is the amount of time it takes for an object to travel around a circular path once. Honos Physics Fall, 2016 Cicula Motion & Toque Test Review Name: M. Leonad Instuctions: Complete the following woksheet. SHOW ALL OF YOUR WORK ON A SEPARATE SHEET OF PAPER. 1. Detemine whethe each statement

More information

Homework Set 3 Physics 319 Classical Mechanics

Homework Set 3 Physics 319 Classical Mechanics Homewok Set 3 Phsics 319 lassical Mechanics Poblem 5.13 a) To fin the equilibium position (whee thee is no foce) set the eivative of the potential to zeo U 1 R U0 R U 0 at R R b) If R is much smalle than

More information

Heronian Triangles of Class K: Congruent Incircles Cevian Perspective

Heronian Triangles of Class K: Congruent Incircles Cevian Perspective Foum Geometicoum Volume 5 (05) 5. FORUM GEOM ISSN 534-78 Heonian Tiangles of lass K: onguent Incicles evian Pespective Fank M. Jackson and Stalislav Takhaev bstact. We elate the popeties of a cevian that

More information

MA 162: Finite Mathematics - Section 3.3/4.1

MA 162: Finite Mathematics - Section 3.3/4.1 MA 162: Finite Mathematics - Section 3.3/4.1 Fall 2014 Ray Kremer University of Kentucky October 6, 2014 Announcements: Homework 3.3 due Tuesday at 6pm. Homework 4.1 due Friday at 6pm. Exam scores were

More information

Physics 111. Ch 12: Gravity. Newton s Universal Gravity. R - hat. the equation. = Gm 1 m 2. F g 2 1. ˆr 2 1. Gravity G =

Physics 111. Ch 12: Gravity. Newton s Universal Gravity. R - hat. the equation. = Gm 1 m 2. F g 2 1. ˆr 2 1. Gravity G = ics Announcements day, embe 9, 004 Ch 1: Gavity Univesal Law Potential Enegy Keple s Laws Ch 15: Fluids density hydostatic equilibium Pascal s Pinciple This week s lab will be anothe physics wokshop -

More information

COLLAPSING WALLS THEOREM

COLLAPSING WALLS THEOREM COLLAPSING WALLS THEOREM IGOR PAK AND ROM PINCHASI Abstact. Let P R 3 be a pyamid with the base a convex polygon Q. We show that when othe faces ae collapsed (otated aound the edges onto the plane spanned

More information

On Polynomials Construction

On Polynomials Construction Intenational Jounal of Mathematical Analysis Vol., 08, no. 6, 5-57 HIKARI Ltd, www.m-hikai.com https://doi.og/0.988/ima.08.843 On Polynomials Constuction E. O. Adeyefa Depatment of Mathematics, Fedeal

More information

UMEÅ UNIVERSITY September 1, 2016 Computational Science and Engineering Modeling and Simulation. Dynamical systems. Peter Olsson

UMEÅ UNIVERSITY September 1, 2016 Computational Science and Engineering Modeling and Simulation. Dynamical systems. Peter Olsson UMEÅ UNIVERSITY Septembe, 26 Computational Science and Engineeing Modeling and Simulation Dynamical systems Pete Olsson Continuous population models fo a single species. Continuous gowth models The simplest

More information

Experiment I Voltage Variation and Control

Experiment I Voltage Variation and Control ELE303 Electicity Netwoks Expeiment I oltage aiation and ontol Objective To demonstate that the voltage diffeence between the sending end of a tansmission line and the load o eceiving end depends mainly

More information

AST 121S: The origin and evolution of the Universe. Introduction to Mathematical Handout 1

AST 121S: The origin and evolution of the Universe. Introduction to Mathematical Handout 1 Please ead this fist... AST S: The oigin and evolution of the Univese Intoduction to Mathematical Handout This is an unusually long hand-out and one which uses in places mathematics that you may not be

More information

Math M111: Lecture Notes For Chapter 10

Math M111: Lecture Notes For Chapter 10 Math M: Lecture Notes For Chapter 0 Sections 0.: Inverse Function Inverse function (interchange and y): Find the equation of the inverses for: y = + 5 ; y = + 4 3 Function (from section 3.5): (Vertical

More information

ME 210 Applied Mathematics for Mechanical Engineers

ME 210 Applied Mathematics for Mechanical Engineers Tangent and Ac Length of a Cuve The tangent to a cuve C at a point A on it is defined as the limiting position of the staight line L though A and B, as B appoaches A along the cuve as illustated in the

More information

Rotational Motion. Every quantity that we have studied with translational motion has a rotational counterpart

Rotational Motion. Every quantity that we have studied with translational motion has a rotational counterpart Rotational Motion & Angula Momentum Rotational Motion Evey quantity that we have studied with tanslational motion has a otational countepat TRANSLATIONAL ROTATIONAL Displacement x Angula Position Velocity

More information

Progression. CATsyllabus.com. CATsyllabus.com. Sequence & Series. Arithmetic Progression (A.P.) n th term of an A.P.

Progression. CATsyllabus.com. CATsyllabus.com. Sequence & Series. Arithmetic Progression (A.P.) n th term of an A.P. Pogessio Sequece & Seies A set of umbes whose domai is a eal umbe is called a SEQUENCE ad sum of the sequece is called a SERIES. If a, a, a, a 4,., a, is a sequece, the the expessio a + a + a + a 4 + a

More information

School Timetabling using Genetic Search

School Timetabling using Genetic Search School Timetabling using Genetic Seach Caldeia JP, Rosa AC Laseeb - ISR IST email: acosa@is.ist.utl.pt Abstact In the pape we discuss the implementation of a genetic based algoithm that is used to poduce

More information

Basic Bridge Circuits

Basic Bridge Circuits AN7 Datafoth Copoation Page of 6 DID YOU KNOW? Samuel Hunte Chistie (784-865) was bon in London the son of James Chistie, who founded Chistie's Fine At Auctionees. Samuel studied mathematics at Tinity

More information