Math 216 First Midterm 19 October, 2017

Similar documents
Math 216 First Midterm 18 October, 2018

Math 216 Final Exam 14 December, 2017

Math 216 Final Exam 24 April, 2017

Math 216 Final Exam 24 April, 2017

Math 216 First Midterm 6 February, 2017

Math 216 Final Exam 14 December, 2012

Math 216 Second Midterm 28 March, 2013

Math 216 First Midterm 8 October, 2012

Math 216 Second Midterm 20 March, 2017

Math 216 Second Midterm 16 November, 2017

Math 216 Second Midterm 19 March, 2018

APPM 2360: Final Exam 10:30am 1:00pm, May 6, 2015.

Math 331 Homework Assignment Chapter 7 Page 1 of 9

Math 216 Second Midterm 17 November, 2016

Problem set 7 Math 207A, Fall 2011 Solutions

Math 3301 Homework Set Points ( ) ( ) I ll leave it to you to verify that the eigenvalues and eigenvectors for this matrix are, ( ) ( ) ( ) ( )

1 y 2 dy = (2 + t)dt 1 y. = 2t + t2 2 + C 1 2t + t 2 /2 + C. 1 t 2 /2 + 2t 1. e y y = 2t 2. e y dy = 2t 2 dt. e y = 2 3 t3 + C. y = ln( 2 3 t3 + C).

+ i. cos(t) + 2 sin(t) + c 2.

4 Second-Order Systems

Math 232, Final Test, 20 March 2007

MATH 251 Examination I October 10, 2013 FORM A. Name: Student Number: Section:

Part II Problems and Solutions

Section 5.4 (Systems of Linear Differential Equation); 9.5 Eigenvalues and Eigenvectors, cont d

Solutions to Math 53 Math 53 Practice Final

Math 1270 Honors ODE I Fall, 2008 Class notes # 14. x 0 = F (x; y) y 0 = G (x; y) u 0 = au + bv = cu + dv

Math 116 Second Midterm November 14, 2012

Solutions of Math 53 Midterm Exam I

154 Chapter 9 Hints, Answers, and Solutions The particular trajectories are highlighted in the phase portraits below.

1. Diagonalize the matrix A if possible, that is, find an invertible matrix P and a diagonal

= 2e t e 2t + ( e 2t )e 3t = 2e t e t = e t. Math 20D Final Review

Math 116 Second Midterm March 19, 2012

Old Math 330 Exams. David M. McClendon. Department of Mathematics Ferris State University

Math 312 Lecture Notes Linear Two-dimensional Systems of Differential Equations

Solutions to the Review Questions

Nonlinear Autonomous Systems of Differential

Math 31S. Rumbos Fall Solutions to Exam 1

20D - Homework Assignment 5

Math 308 Exam I Practice Problems

Math 266, Midterm Exam 1

Math 266: Phase Plane Portrait

Understand the existence and uniqueness theorems and what they tell you about solutions to initial value problems.

MATH 215/255 Solutions to Additional Practice Problems April dy dt

MA 527 first midterm review problems Hopefully final version as of October 2nd

DEPARTMENT OF MATHEMATICS AND STATISTICS UNIVERSITY OF MASSACHUSETTS. MATH 233 SOME SOLUTIONS TO EXAM 1 Fall 2018

Final 09/14/2017. Notes and electronic aids are not allowed. You must be seated in your assigned row for your exam to be valid.

Math 116 Practice for Exam 2

Third In-Class Exam Solutions Math 246, Professor David Levermore Thursday, 3 December 2009 (1) [6] Given that 2 is an eigenvalue of the matrix

Chapter 6 Nonlinear Systems and Phenomena. Friday, November 2, 12

Math 215/255 Final Exam (Dec 2005)

Differential equations

Do not write in this space. Problem Possible Score Number Points Total 48

CALCULUS MATH*2080 SAMPLE FINAL EXAM

Math 116 Second Midterm March 19, 2012

MATH 32A: MIDTERM 2 REVIEW. sin 2 u du z(t) = sin 2 t + cos 2 2

Math 122 Fall Handout 11: Summary of Euler s Method, Slope Fields and Symbolic Solutions of Differential Equations

Math 118, Fall 2014 Final Exam

Sample Questions, Exam 1 Math 244 Spring 2007

Half of Final Exam Name: Practice Problems October 28, 2014

MathQuest: Differential Equations

MATH 4B Differential Equations, Fall 2016 Final Exam Study Guide

Even-Numbered Homework Solutions

dy dt = ty, y(0) = 3. (1)

Math 116 Practice for Exam 2

Use separation of variables to solve the following differential equations with given initial conditions. y 1 1 y ). y(y 1) = 1

Solutions to Final Exam Sample Problems, Math 246, Spring 2011

Lab 5: Nonlinear Systems

Differential Equations and Modeling

You may use a calculator, but you must show all your work in order to receive credit.

Math 116 Practice for Exam 2

MATH 2410 PRACTICE PROBLEMS FOR FINAL EXAM

Math 116 Practice for Exam 2

ENGR 213: Applied Ordinary Differential Equations

Solutions to the Review Questions

DO NOT WRITE ABOVE THIS LINE!! MATH 181 Final Exam. December 8, 2016

Department of Mathematics IIT Guwahati

Calculus and Differential Equations II

Homework #4 Solutions

Complex Dynamic Systems: Qualitative vs Quantitative analysis

Linear Systems of ODE: Nullclines, Eigenvector lines and trajectories

A plane autonomous system is a pair of simultaneous first-order differential equations,

Solutions to Math 53 First Exam April 20, 2010

Math 2930 Worksheet Introduction to Differential Equations. What is a Differential Equation and what are Solutions?

MAT 132 Midterm 1 Spring 2017

2.10 Saddles, Nodes, Foci and Centers

Problem Set. Assignment #1. Math 3350, Spring Feb. 6, 2004 ANSWERS

8. Qualitative analysis of autonomous equations on the line/population dynamics models, phase line, and stability of equilibrium points (corresponds

Linear Systems of ODE: Nullclines, Eigenvector lines and trajectories

Math 308 Final Exam Practice Problems

Worksheet 8 Sample Solutions


Chapter 4. Systems of ODEs. Phase Plane. Qualitative Methods

Math 308 Exam I Practice Problems

1. < 0: the eigenvalues are real and have opposite signs; the fixed point is a saddle point

Problem Set Number 5, j/2.036j MIT (Fall 2014)

Math 251 December 14, 2005 Answer Key to Final Exam. 1 18pt 2 16pt 3 12pt 4 14pt 5 12pt 6 14pt 7 14pt 8 16pt 9 20pt 10 14pt Total 150pt

Solutions to Dynamical Systems 2010 exam. Each question is worth 25 marks.

7 Planar systems of linear ODE

MATH 251 Final Examination May 4, 2015 FORM A. Name: Student Number: Section:

Math 273 (51) - Final

Math 116 Second Midterm November 16, 2011

Transcription:

Math 6 First Midterm 9 October, 7 This sample exam is provided to serve as one component of your studying for this exam in this course. Please note that it is not guaranteed to cover the material that will appear on your exam, nor to be of the same length or difficulty. In particular, the sections in the text that were covered on this exam may be slightly different from those covered by your exam. This material is (c)7, University of Michigan Department of Mathematics, and released under a Creative Commons By-NC-SA 4. International License. It is explicitly not for distribution on websites that share course materials.

Math 6 / Exam (9 October, 7) page. [5 points] For each of the following, find explicit, real-valued solutions, as indicated. a. [7 points] The general solution to x = 3y, y = x + y Solution: As a matrix equation, this is x = Ax, with x = x y and A = Eigenvalues of A are given by λ 3 det( ) = λ( λ) 6 = λ λ 6 = (λ 3)(λ + ) =. λ 3. 3 3 Thus λ =, 3. If λ =, the eigenvector satisfies v =, so that v =. 3 3 3 Similarly, if λ = 3, we have v =, so that v =. The general solution is therefore x 3 x = = c y e t + c e 3t. b. [8 points] The solution to x = x, x() = 4 3. Solution: Eigenvalues of the coefficient matrix satisfy λ det( ) = λ + 4λ + 4 = (λ + ) =, 4 λ so λ =, twice. Eigenvectors satisfy v =, so v =. To find a second solution, we look for x = (tv + w)e t, so that w = v. This is w w =, so we may take w = and w =. The general solution is therefore ( ) x = c e t / + c t + e t. Plugging in the initial condition, we have c + c / = 3, and c =. Thus c = 6, and ( x = 6 t + ) / e t.

Math 6 / Exam (9 October, 7) page 3. [6 points] Let A be a ( ) matrix with ( real ) entries that has eigenvalues λ = and λ = 5 with eigenvectors v = and v =. a. [6 points] What is the result of each of the following matrix multiplications? Briefly explain your answer for each. A = A = Solution: Note that 5 λ =. 5 Then note that = is an eigenvector in fact, it is v. +. Thus A Thus A 6 = Av + Av = v + 5v =. 4 = b. [5 points] Sketch a qualitatively accurate phase portrait for the system x = Ax. Solution: The equilibrium solution is (, ), and there are two straight-line solutions, v and v, both with outward trajectories. The eigenvalue associated with v is much larger than the other, so trajectories that are not on kv will bend to be parallel to v, as shown in the figure below. 3-3 - - 3 - - -3 c. [5 points] Give two initial conditions for which the solution to x = Ax will, as trajectories in the phase plane, eventually be parallel to the line y = x. Give a short explanation of how you know your answer is correct. Solution: Note that the line y = x is the line given by the second eigenvector. Any initial condition that does not lie on the first eigenvector will end up parallel to this, because the exponential for the second will ( dominate ) as time ( gets ) large. Thus two initial conditions that would work are x() = and x() = (in the latter case the trajectory lies on the line).

Math 6 / Exam (9 October, 7) page 4 3. [4 points] Consider the systems of equations below. In each the vector x has components x and x. 8 A. x = x 3 8 8 B. x = x + 3 8 Match each of these to one of the graphs to the right (note that two of these are component plots and two are phase portraits). Briefly explain how you know that your matching is correct. Solution: It is convenient to start by finding the eigenvalues of the coefficient matrix. λ 8 det( = λ + 6λ + 8 3 8 λ = (λ + )(λ + 4) =, I. x,x 5 4 3 - II. x,x 3 - - x x 4 6 8 t x x 4 6 8 t so that λ = and λ = 4. Thus in the phase plane, solutions for A must have two straight line trajectories through the origin (which could be graph IV, but not III); and component plots must go to x = = x without oscillation (which excludes plots I and II). Thus A must match graph IV. Next, B is the same system as A, but with forcing. The equilibrium solution for B is given by x 8x =, 3x 8x =, III. 3 x -4-3 - - x - so that, subtracting the first from the second, we have x = 3. Plugging back into either equation, x =. Therefore, one solution to B is x = 3, x = ; this excludes graph III. For the same reason as for A, the component plots should not be oscillatory, so B must match graph I. IV. x - - x - -

Math 6 / Exam (9 October, 7) page 5 4. [5 points] For each of the following, find explicit, real-valued solutions, as indicated. a. [7 points] Find the general solution to y = 7 cos(t) + sin(t) y. Solution: This is linear, but not separable. Rewriting in standard form, we have y + cos(t) cos(t) +sin(t) y = 7, so that an integrating factor is µ = exp( +sin(t) dt) = exp(ln + sin(t) ) = + sin(t). Then (( + sin(t)) y) = 7( + sin(t)), so that ( + sin(t))y = 7(t cos(t)) + C, and 4t 7 cos(t) C y = + + sin(t) + sin(t). b. [8 points] Solve the initial value problem: y t + 5 y =, y() = Solution: This is nonlinear, and fortunately separable. Separating, we have yy = t +5, so that y = 3 t3 + 5t + C. Solving for y (and letting C = C), y = ± 3 t3 + t + C. Applying the initial condition, we must take the negative square root and C = 4, so that y = 3 t3 + t + 4.

Math 6 / Exam (9 October, 7) page 6 5. [4 points] The volumetric rate at which liquid leaves a cylindrical tank through a circular hole in its bottom is proportional to the square root of the volume of liquid in the tank. Suppose we have a cylindrical tank 5 meters tall with a meter radius (so that its volume is 5π m 3 ) that is initially full of some liquid. At time t =, a circular hole opens in the base and more liquid is added at a rate of m /hr. a. [5 points] Write an initial value problem for the volume V of liquid in the tank. (Your answer will involve a constant of proportionality k.) Can you solve your equation? Explain. (Do not actually solve the equation.) Solution: We have dv dt = (rate in) (rate out) = k V, with V () = 5π. This is nonlinear and separable (and thus solvable), but the resulting integral is not one that we are able to evaluate in closed form. b. [5 points] Suppose that the solution to your equation in (a) is some function V (t). If the liquid in the tank initially contains a particulate at a concentration of g/m 3 and the liquid entering has a particulate concentration of g/m 3, write an initial value problem for the amount of particulate in the tank. (Your answer will involve the unknown function V (t).) Can you solve this equation? Explain. (Do not actually solve the equation.) Solution: We can write an equation by considering the tank as a compartment: then dp dt = (rate in) (rate out). The rate in is ( m3 /hr)( g/m 3 ) = (g/hr). The rate out is (k V )(p(t)/v ) = kp/ V. Thus our differential equation is dp dt = k p, V with initial condition p() = 5π. Assuming that we know the function V (t), this is a linear (but not separable) equation, which we could solve with an integrating factor.

Math 6 / Exam (9 October, 7) page 7 Problem 5, continued. c. [4 points] What do you expect the long-term value for the volume V (t) to be? Can you predict the long-term value for p(t)? If k =, which of the graphed functions to the right is V (t) and which is p(t)? Why? t Solution: Note that the volume starts larger than, so 4 6 8 4 initially V <. There is an equilibrium volume, k V =, so that V = /k, to which the volume will exponentially approach. In the long-term, then, we expect V /k, and therefore we expect the long-term dynamics of p to be given by p = f(p) = kp/ /k = k 3 p. The equilibrium value is p = /k 3, and because f (p ) = k 3 <, it is stable. We therefore expect that p /k 3. Finally, if k =, then V and p, so the solid curve in the figure must be p(t) and the dashed one V (t). V,p 5 5 6. [ points] Consider the initial value problem ( y 3 ) dy dt =, y() =. a. [5 points] Without solving it, will this initial value problem have a unique solution? Solution: Note that this is the same as y = f(y) = /( y 3 ). The function f and its derivative f y are discontinuous only if y =, so there will be a unique solution provided y(). Thus we are guaranteed that there will be a unique solution. b. [5 points] Solve the problem. Based on your solution, for what range of t and y values would you expect the solution to exist? Why? Solution: Integrating both sides with respect to t, we have y 4 y4 + C = t, so that with y() = we require C = and have t = y 4 y4. Thinking of t as a function of y, this is a curve like a parabola opening down around the t-axis. Its vertex is when d dy (y 4 y4 ) = y 3 =, or y =. When y =, t = 3 4, and at that point the solution vanishes. Thus we have a (unique) solution only for t < 3 4, y <. We may include t = 3 4 and y = in these, as the function continues to be well defined there.

Math 6 / Exam (9 October, 7) page 8 7. [6 points] In lab we considered the van der Pol system x = y, y = x µy df dx. Here, we suppose that f (x) = x a, so that this becomes x = y, y = x µy ( x a). a. [3 points] Find the critical point for this system. Solution: Critical points are where x = y =, so from the first equation, y =. Then if y = the second equation is = x, so x = also. The only critical point is (, ). b. [3 points] Linearize the system at your critical point from (a). Solution: The only nonlinear term in the system is y x, which for x and y near (, ) will be very small; thus, our linearization is x = y, y = x + aµy. c. [5 points] Suppose ( that your ) linear system from (b) is, for some k that depends on both of µ and a, x = x. Determine the type and stability of the critical point. k Solution: The coefficient matrix of the nonlinear system is A =, so eigenvalues k λ are given by det( ) = λ k λ kλ + =. Thus, λ = k ± k 4. This will have a positive real part if k >, so for k > the origin is unstable while for k < it is asymptotically stable. For k <, λ will be complex valued and we will have a spiral point; for k >, it will be a node. If k = ±, we have a repeated eigenvalue and therefore the degenerate case with a single eigenvector.

Math 6 / Exam (9 October, 7) page 9 Problem 7, continued. We are considering the system x = y, y = x µy ( x a) d. [5 points] Each of the direction fields below is generated for the nonlinear equation we are considering, picking µ and a so that the value of k given in (c) is one of,,, or. Identify, with a short explanation, which graph corresponds to which value of k. i. ii. iii. iv. Solution: For k = and k = trajectories must approach the origin, so these are iii and iv. For k = the trajectories must be a spiral, which is iii. Thus iii corresponds to k = and iv to k =. Then if k = we must have spirals out from the origin, which matches i; and for k =, one straight line solution, which matches ii.