Complete solutions to Exercise 14(b) 1. Very similar to EXAMPLE 4. We have same characteristic equation:

Similar documents
Section 3.5 Nonhomogeneous Equations; Method of Undetermined Coefficients

( ) 2. Review Exercise 2. cos θ 2 3 = = 2 tan. cos. 2 x = = x a. Since π π, = 2. sin = = 2+ = = cotx. 2 sin θ 2+

Lecture 13 RC/RL Circuits, Time Dependent Op Amp Circuits

ME 391 Mechanical Engineering Analysis

MEI STRUCTURED MATHEMATICS 4758

( ) ( ) ( ) () () Signals And Systems Exam#1. 1. Given x(t) and y(t) below: x(t) y(t) (A) Give the expression of x(t) in terms of step functions.

Wall. x(t) f(t) x(t = 0) = x 0, t=0. which describes the motion of the mass in absence of any external forcing.

Morning Time: 1 hour 30 minutes Additional materials (enclosed):

Some Basic Information about M-S-D Systems

ln 2 1 ln y x c y C x

Voltage/current relationship Stored Energy. RL / RC circuits Steady State / Transient response Natural / Step response

( ) = 0.43 kj = 430 J. Solutions 9 1. Solutions to Miscellaneous Exercise 9 1. Let W = work done then 0.

MA 214 Calculus IV (Spring 2016) Section 2. Homework Assignment 1 Solutions

8. Basic RL and RC Circuits

ENGI 9420 Engineering Analysis Assignment 2 Solutions

t + t sin t t cos t sin t. t cos t sin t dt t 2 = exp 2 log t log(t cos t sin t) = Multiplying by this factor and then integrating, we conclude that

Y 0.4Y 0.45Y Y to a proper ARMA specification.

2610 MEI Differential Equations January 2005 Mark Scheme

DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING EXAMINATIONS 2008

System of Linear Differential Equations

INDEX. Transient analysis 1 Initial Conditions 1

Differential Equations

Week 1 Lecture 2 Problems 2, 5. What if something oscillates with no obvious spring? What is ω? (problem set problem)

Math 1. Two-Hours Exam December 10, 2017.

Concourse Math Spring 2012 Worked Examples: Matrix Methods for Solving Systems of 1st Order Linear Differential Equations

Let ( α, β be the eigenvector associated with the eigenvalue λ i

Electrical Circuits. 1. Circuit Laws. Tools Used in Lab 13 Series Circuits Damped Vibrations: Energy Van der Pol Circuit

10. State Space Methods

Check in: 1 If m = 2(x + 1) and n = find y when. b y = 2m n 2

Mark Scheme (Results) January 2011

Chapter #1 EEE8013 EEE3001. Linear Controller Design and State Space Analysis

V L. DT s D T s t. Figure 1: Buck-boost converter: inductor current i(t) in the continuous conduction mode.

Selective peracetic acid determination in the presence of hydrogen peroxide using the molecular absorption properties of catalase

dy dx = xey (a) y(0) = 2 (b) y(1) = 2.5 SOLUTION: See next page

HOMEWORK # 2: MATH 211, SPRING Note: This is the last solution set where I will describe the MATLAB I used to make my pictures.

23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes

dt = C exp (3 ln t 4 ). t 4 W = C exp ( ln(4 t) 3) = C(4 t) 3.

The Contradiction within Equations of Motion with Constant Acceleration

Math 2214 Sol Test 2B Spring 2015

Chapter #1 EEE8013 EEE3001. Linear Controller Design and State Space Analysis

WEEK-3 Recitation PHYS 131. of the projectile s velocity remains constant throughout the motion, since the acceleration a x

9231 FURTHER MATHEMATICS

Reading from Young & Freedman: For this topic, read sections 25.4 & 25.5, the introduction to chapter 26 and sections 26.1 to 26.2 & 26.4.

Second Order Linear Differential Equations

Linear Dynamic Models

Solutions of Sample Problems for Third In-Class Exam Math 246, Spring 2011, Professor David Levermore

8.022 (E&M) Lecture 16

Chapter 2. First Order Scalar Equations

ECE-205 Dynamical Systems

AQA Maths M2. Topic Questions from Papers. Differential Equations. Answers

Review - Quiz # 1. 1 g(y) dy = f(x) dx. y x. = u, so that y = xu and dy. dx (Sometimes you may want to use the substitution x y

CHAPTER 12 DIRECT CURRENT CIRCUITS

1. VELOCITY AND ACCELERATION

Math 333 Problem Set #2 Solution 14 February 2003

Math Week 14 April 16-20: sections first order systems of linear differential equations; 7.4 mass-spring systems.

Challenge Problems. DIS 203 and 210. March 6, (e 2) k. k(k + 2). k=1. f(x) = k(k + 2) = 1 x k

Learning Enhancement Team

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3

ES 250 Practice Final Exam

DIFFERENTIAL EQUATIONS

Hamilton- J acobi Equation: Weak S olution We continue the study of the Hamilton-Jacobi equation:

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities:

3, so θ = arccos

THE 2-BODY PROBLEM. FIGURE 1. A pair of ellipses sharing a common focus. (c,b) c+a ROBERT J. VANDERBEI

Section 3.8, Mechanical and Electrical Vibrations

Math 2214 Solution Test 1A Spring 2016

Math 4600: Homework 11 Solutions

Lecture 23 Damped Motion

Boyce/DiPrima/Meade 11 th ed, Ch 3.1: 2 nd Order Linear Homogeneous Equations-Constant Coefficients

EECS20n, Solution to Midterm 2, 11/17/00

EECS 2602 Winter Laboratory 3 Fourier series, Fourier transform and Bode Plots in MATLAB

Second Order Linear Differential Equations

Theory of! Partial Differential Equations-I!

( ) = Q 0. ( ) R = R dq. ( t) = I t

Section 7.4 Modeling Changing Amplitude and Midline

Two Coupled Oscillators / Normal Modes

a n (t) dn y(t) dt and equations that are not of this form are said to be nonlinear.

Chapter 8 The Complete Response of RL and RC Circuits

Second-Order Differential Equations

ENV 6015 Solution to Mixing Problem Set

Solutionbank Edexcel AS and A Level Modular Mathematics

EE202 Circuit Theory II , Spring. Dr. Yılmaz KALKAN & Dr. Atilla DÖNÜK

Homework 10 (Stats 620, Winter 2017) Due Tuesday April 18, in class Questions are derived from problems in Stochastic Processes by S. Ross.

Instructor: Barry McQuarrie Page 1 of 5

15. Vector Valued Functions

EXERCISES FOR SECTION 1.5

MA Study Guide #1

Physics 1402: Lecture 22 Today s Agenda

Math 334 Fall 2011 Homework 11 Solutions

Ch.1. Group Work Units. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

Theory of! Partial Differential Equations!

After the completion of this section the student. Theory of Linear Systems of ODEs. Autonomous Systems. Review Questions and Exercises

LAPLACE TRANSFORM AND TRANSFER FUNCTION

ECE 2100 Circuit Analysis

Laplace transfom: t-translation rule , Haynes Miller and Jeremy Orloff

UNIVERSITY OF CALIFORNIA AT BERKELEY

MATH 31B: MIDTERM 2 REVIEW. x 2 e x2 2x dx = 1. ue u du 2. x 2 e x2 e x2] + C 2. dx = x ln(x) 2 2. ln x dx = x ln x x + C. 2, or dx = 2u du.

Stability and Bifurcation in a Neural Network Model with Two Delays

Delhi Noida Bhopal Hyderabad Jaipur Lucknow Indore Pune Bhubaneswar Kolkata Patna Web: Ph:

!!"#"$%&#'()!"#&'(*%)+,&',-)./0)1-*23)

Transcription:

Soluions 4(b) Complee soluions o Exercise 4(b). Very similar o EXAMPE 4. We have same characerisic equaion: 5 i Ae = + Be By using he given iniial condiions we obain he simulaneous equaions A+ B= 0 5A B= 6 Solving hese gives A = and B =. Hence he soluion is 5 i e = e. Use (4.8) wih he appropriae value of k x= Acos + Bsin Because k = (a) [ ] (b) x= Acos( 4) + Bsin ( 4) [ Because k = 4] x= Acos + Bsin Because k = x= Acos 5 + Bsin 5 Because k = 5. Characerisic equaion is r + km= 0, (using he characerisic equaion variable r because m represens mass in his problem). r k + = 0 m By (4.8), x = Acos( ω)+ Bsin( ω) where ω = km (c) (d) 4. Characerisic equaion is m m + 4 0 = 0 6 + 0 = 0 By (4.8) v= Acos ( 0 ) Bsin ( 0 ) + ( ) Subsiuing = 0, v = ino ( ) = Acos()+ 0 Bsin() 0 gives A = [Remember cos( 0)= and sin()= 0 0 ] dv Differeniaing ( ) and subsiuing he second condiion =0, = 0 ; d dv = ( 0 ) Asin ( 0 ) + ( 0 ) Bcos ( 0 ) d 0 = 0+ 0 B gives B= Subsiuing A = and B = ino ( ) gives ( v= cos 0 ) + sin ( 0 ) π Using (4.76) wih a = and b = gives v = cos ( 0 ) 4 (4.76) acos θ + bsin θ = a + b cos ( θ α) where α= an ( b a ) (4.8) If r + k =0 hen y = Acos( kx) + Bsin ( kx)

Soluions 4(b) 5. By EXAMPE 6 where k = y = Acos kx + Bsin kx (*) PEI. Subsiuing he boundary condiion x =, y = e gives e= Acos+ Bsin ( ) Subsiuing x =, y = e ino (*) gives k k e= Acos+ Bsin = AcosBsin ( ) by (4.5) by (4.50) Adding ( ) and ( ) yields e= Acos e A= = esec k by (4.) cos e Subsiuing A = cos k ino ( ) gives e e= cos Bsin k + cos e= e+ Bsin, hence B= 0 Subsiuing A = esec k and B = 0 ino (*) yields y = eseccos( kx) 6. Characerisic equaion is r + ωζr + ω = 0 (using r, since m represens mass). This is a quadraic equaion wih variable r. Puing a =, b = ωζ and c = ω ino (.6) gives b± b 4ac (.6) x = a sec cos x = ( x) (4.) (4.50) sin ( x) = sin ( x) (4.5) cos( x) = cos( x)

Soluions 4(b) ωζ ± 4ω ζ 4ω ± r = = ωζ 4ω ζ ωζ ± ω ζ = = ± ωζ ω ζ [ ] Cancelling s ( ) [ Taking Ou ] ( ) and r r = ω ζ ± ζ ω r = ω ζ + ζ = ω ζ ζ = ω ζ + ζ Since we have real and differen roos we use (4.4) x = Ae r + Be r where r and r are as above. 7. The characerisic equaion is same as soluion 6: m + ωζ m+ ω = 0 By soluion o quesion 6 ( ) m = ω ζ ± ζ For ζ =, m =ω (equal roos) so by (4.5) x = A+ B e ω Subsiuing he firs iniial condiion, when = 0, x = 5; 0 5 = e ( A+ B.0) gives A=5 [Remember e 0 =] Differeniaing x = ( A + B)e ω by using he produc rule, (6.), yields x e ω ω = ω A+ B + e B. Subsiuing he oher iniial condiion when = 0, x Ý = 0; 0 0 0 = ωe A+ B.0 + e. B [ ] B = ωa= 5ω Because A= 5 Subsiuing A = 5 and B = 5ω ino x = ( A + B)e ω gives ω x = e 5+ 5ω ( ω ) x = 5e ω + {Taking Ou 5] The following is he MAPE oupu wih θ = ω > x:=5*exp(-hea)*(+hea); x := 5 e ( θ ) ( + θ ) > plo(x,hea=0..0);

Soluions 4(b) 4 8. Since we have he same characerisic equaion as soluion 6 so ( ) m = ω ζ ± ζ ( ( )) j = ω ζ ± ζ = ω ζ ± ζ ζ < ζ Because and so < m= ωζ ± jωβ where β = ζ Since we have complex roos so by (4.6) ζω x= e Acos( βω) + Bsin ( βω) (*) (4.6) If m = α ± jβ hen y = e αx A cos βx [ + B sin( βx) ]

Soluions 4(b) 5 Subsiuing he iniial condiion, when = 0, x = 0; 0 = e 0 Acos 0 + Bsin 0, gives A=0 because e 0 =, cos 0 = and sin 0 0 = Subsiuing A = 0 ino (*) gives ζω x = Be βω sin Subsiuing he oher iniial condiion, when = 0, x = ωβ means we need o differeniae x = Be ζω sin( βω). x Be ζω ζω = ζω sin βω + Bβωe cos βω Subsiuing = 0 and x = ωβ ino his ωβ = 0 + Bωβ which gives B = Subsiuing A = 0, B = ino (*) gives x = e ζω sin βω where β = ζ 9. Dividing he characerisic equaion by C gives m + RC m + C = 0 Subsiuing a =, b = RC and c = ino (.6) gives C 4 ± RC R C C 4R C m = = ± RC R C 4R C RC R C = ± 4R C = ± RC RC 4R C m = ± (*) RC Case (a) = 4CR ; Subsiuing = 4CR ino (*) gives m = [Equal Roos] RC By (4.5) RC v = ( A+ B)e Case (b) > 4CR ; Using (*) gives wo roos m and m [Disinc Roos] m RC RC By (4.4) v = Ae m + Be m Case (c) < 4CR ; 4 4 R C, = + m = R C (.6) b± b 4ac m = a (4.4) If m and m hen y = Ae m x + Be m x (4.5) Equal roos m hen y = ( A+ Bx)e

Soluions 4(b) 6 4R C 4R C m = ± = ± RC RC RC RC 4RC m= ± j RC RC [ Complex Roos] 4R C e α = and β =, hen subsiuing hese ino (4.6) RC RC gives ( β ) sin ( β ) α v= e Acos + B 0. Same differenial equaion as quesion 9. The characerisic equaion is given by Cm + m 0 R + = The roos of his equaion are given by soluion 9 4R C m = ± (*) RC Subsiuing R = 0 0 and C = 0 9 gives 9 4 ( 0 0 ) 0 m = 9 ± ( 0 0 ) ( 0 ) = 50 0 ± 0.4 ( 50 0 ) ( 50 0 ) m = ± 0.4 Since 0.4, ( 50 0 ) ( 50 0 ) 0.4 < m= ± j. Equaing he imaginary par of his o he imaginary par of he roos given in he quesion ( 50 0 )± j( 0 0 ) gives 0.4 j( 50 0 ) = j( 0 0 ) 0.4 = 0.6 Dividing by 50 0 Squaring boh sides 0.4 = 0.6 0.4 = 0.6 Solving his equaion gives = 0.94 (correc o hree d.p.) Hence = 0.94 H.

Soluions 4(b) 7. Dividing hrough by C we have dv dv v + + = 0 d RC d C m + m+ = 0 RC C Equaing wih m + ζωm + ω = 0 ω = C gives ω = C Equaing he m erms gives ζω = RC and subsiuing ω = C ζ = C RC C ζ = = RC R C we have