Exam 2, Solution 4. Jordan Paschke

Similar documents
Lecture Notes for Math 251: ODE and PDE. Lecture 13: 3.4 Repeated Roots and Reduction Of Order

Solutions to Homework 3

Linear Homogeneous ODEs of the Second Order with Constant Coefficients. Reduction of Order

Euler-Cauchy Using Undetermined Coefficients

MIDTERM 1 PRACTICE PROBLEM SOLUTIONS

MATH 308 Differential Equations

APPM 2360 Section Exam 3 Wednesday November 19, 7:00pm 8:30pm, 2014

Lecture 7 - Separable Equations

Nonhomogeneous Equations and Variation of Parameters

Permutations and Polynomials Sarah Kitchen February 7, 2006

Using Abel's Theorem to Explain Repeated Roots of the Characteristic Equation

Chapter 0 of Calculus ++, Differential calculus with several variables

2. If the values for f(x) can be made as close as we like to L by choosing arbitrarily large. lim

Solutions to Homework 5, Introduction to Differential Equations, 3450: , Dr. Montero, Spring y 4y = 48t 3.

Often, in this class, we will analyze a closed-loop feedback control system, and end up with an equation of the form

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

Second-Order Linear ODEs

x(t) = t[u(t 1) u(t 2)] + 1[u(t 2) u(t 3)]

Honors Differential Equations

dt 2 roots r = 1 and r =,1, thus the solution is a linear combination of e t and e,t. conditions. We havey(0) = c 1 + c 2 =5=4 and dy (0) = c 1 + c

MB4018 Differential equations

Non-homogeneous equations (Sect. 3.6).

Math Ordinary Differential Equations

Least Squares Regression

Fall 2001, AM33 Solution to hw7

SHORT WAY SYMMETRY/SYMMETRICAL SYNTHETIC TREAD TELEVISION VERTICAL VITREOUS VOLUME. 1 BID SET No. Revisions / Submissions Date CAR

Section 4.7: Variable-Coefficient Equations

(1 + 2y)y = x. ( x. The right-hand side is a standard integral, so in the end we have the implicit solution. y(x) + y 2 (x) = x2 2 +C.

6. Linear Differential Equations of the Second Order

Ch 6.2: Solution of Initial Value Problems

Solutions to Math 53 First Exam April 20, 2010

Answer Key b c d e. 14. b c d e. 15. a b c e. 16. a b c e. 17. a b c d. 18. a b c e. 19. a b d e. 20. a b c e. 21. a c d e. 22.

+ py 1v + py 1 v + qy 1 v = 0

Math 266 Midterm Exam 2

Solutions to Homework 1, Introduction to Differential Equations, 3450: , Dr. Montero, Spring y(x) = ce 2x + e x

1 Systems of Differential Equations

Second Order Linear Equations

2nd-Order Linear Equations

3 = arccos. A a and b are parallel, B a and b are perpendicular, C a and b are normalized, or D this is always true.

HIGHER-ORDER LINEAR ORDINARY DIFFERENTIAL EQUATIONS II: Nonhomogeneous Equations. David Levermore Department of Mathematics University of Maryland

Entrance Exam, Differential Equations April, (Solve exactly 6 out of the 8 problems) y + 2y + y cos(x 2 y) = 0, y(0) = 2, y (0) = 4.

Section 14.1 Vector Functions and Space Curves

/99 $10.00 (c) 1999 IEEE

Mathematics II. Tutorial 2 First order differential equations. Groups: B03 & B08

Higher Order Linear Equations

Differential equations

Modeling and Simulation with ODE for MSE

Math 331 Homework Assignment Chapter 7 Page 1 of 9

MAT292 - Calculus III - Fall Solution for Term Test 2 - November 6, 2014 DO NOT WRITE ON THE QR CODE AT THE TOP OF THE PAGES.

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

SOLUTIONS ABOUT ORDINARY POINTS

Dynamic Consistency for Stochastic Optimal Control Problems

Math 250B Midterm III Information Fall 2018 SOLUTIONS TO PRACTICE PROBLEMS

When Is A Linear Operator Diagonalizable? Marco Abate

Math 211. Lecture #6. Linear Equations. September 9, 2002

LINEAR EQUATIONS OF HIGHER ORDER. EXAMPLES. General framework

Systems of Linear Differential Equations Chapter 7

Differential Equations

Lecture 11. Andrei Antonenko. February 26, Last time we studied bases of vector spaces. Today we re going to give some examples of bases.

MATH 307 Introduction to Differential Equations Autumn 2017 Midterm Exam Monday November

ME 132, Fall 2015, Quiz # 2

Exercises Chapter II.

LECTURE 14: REGULAR SINGULAR POINTS, EULER EQUATIONS

Tangent and Normal Vector - (11.5)

MATH 135: COMPLEX NUMBERS

144 Chapter 3. Second Order Linear Equations

MA 266 Review Topics - Exam # 2 (updated)

Section 2.4: Add and Subtract Rational Expressions

Section 9.8 Higher Order Linear Equations

we get y 2 5y = x + e x + C: From the initial condition y(0) = 1, we get 1 5 = 0+1+C; so that C = 5. Completing the square to solve y 2 5y = x + e x 5

EXAM 2 MARCH 17, 2004

Midterm for Introduction to Numerical Analysis I, AMSC/CMSC 466, on 10/29/2015

21 Linear State-Space Representations

Math 0290 Midterm Exam

Math53: Ordinary Differential Equations Autumn 2004

Mathematics 22: Lecture 7

Higher-order differential equations

The Sommerfeld Polynomial Method: Harmonic Oscillator Example

Graduate Macro Theory II: Notes on Solving Linearized Rational Expectations Models

Introduction to Vectors

Math 266, Midterm Exam 1

1.4 Techniques of Integration

MODULE 12. Topics: Ordinary differential equations

Exam II Review: Selected Solutions and Answers

Math Shifting theorems

Math 308 Week 8 Solutions

ODE Homework Series Solutions Near an Ordinary Point, Part I 1. Seek power series solution of the equation. n(n 1)a n x n 2 = n=0

MATH 251 Week 6 Not collected, however you are encouraged to approach all problems to prepare for exam

MATH PRACTICE EXAM 1 SOLUTIONS

Solution to Homework 1

Basic Equation Solving Strategies

1. Find the solution of the following uncontrolled linear system. 2 α 1 1

Lecture 20: Lagrange Interpolation and Neville s Algorithm. for I will pass through thee, saith the LORD. Amos 5:17

Eigenvalues and Eigenvectors

HOMEWORK # 3 SOLUTIONS

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

20D - Homework Assignment 5

Linear algebra and differential equations (Math 54): Lecture 20

Some Review Problems for Exam 2: Solutions

2.2 Separable Equations

Transcription:

Exam 2, Solution 4 Jordan Paschke Problem 4. Suppose that y 1 (t) = t and y 2 (t) = t 3 are solutions to the equation 3t 3 y t 2 y 6ty + 6y = 0, t > 0. ( ) Find the general solution of the above equation. Solution. Since the equation is a third-order, linear, homogeneous differential equation, with particular solutions y 1 and y 2, then we know that its general solution will be of the form y(t) = c 1 y 1 (t) + c 2 y 2 (t) + c 3 y 3 (t) = c 1 t + c 2 t 3 + c 3 y 3 (t), where y 3 (t) is a third, linearly independent solution to ( ). method of reduction of order to help us find such a y 3. We will use the Reduction of order is used when we are trying to find the general solution to a homogeneous differential equation after having already found one or more particular solutions. To begin, we suppose that either y 3 (t) = y 1 (t)v(t) or y 3 (t) = y 2 (t)v(t), where v(t) will be some function to be determined later. Since it is easier to take multiple derivatives of t, rather than derivatives of t 3, we will work with y 1 = t. Supposing y 3 (t) = tv(t), we find its successive derivates and plug them into the original differential equation ( ): which gives us y 3 = tv y 3 = tv + v y 3 = tv + 2v y 3 = tv + 3v 1

or equivalently 3t 3 (tv + 3v ) t 2 (tv + 2v ) 6t(tv + v) + 6(tv) = 0 (3t 4 )v + (9t 3 t 3 )v + ( 2t 2 6t 2 )v + ( 6t + 6t)v = 0 (3t 4 )v + (8t 3 )v + ( 8t 2 )v = 0 v + 8 3t v + 8 3t 2 v = 0. ( ) Since this equation does not include any v terms (ones without any derivatives), then we may introduce a new function, w(t) = v (t), to rewrite the above equation as w + 8 3t w + 8 3t 2 w = 0. ( ) Notice that this is a second-order homogeneous equation, one less than the order of ( ), ergo the name reduction of order. Furthermore, if we can find the general solution of ( ), w(t), then we can find the general solution of ( ) by integrating, v(t) = w(t)dt. So let us recap what we have done so far: If y 3 (t) = tv(t) is a solution of ( ), then we must have that v(t) is a solution of ( ). Since ( ) can be rewritten in terms of w = v as ( ), then to find the general solution of v(t), it suffices to find the general solution of w(t) and integrate. This means that the in order to solve our original equation ( ), we need only to find the general solution of the equation ( ). Since this equation is a second-order, linear, homogeneous differential equation, then we know the general solution must be of the form w(t) = d 1 w 1 (t) + d 2 w 2 (t), where w 1 and w 2 form a fundamental set of solutions to ( ). That is w 1 and w 2 solve the differential equation and are linearly independent. Notice that if we could find one solution of ( ), say w 1 (t), then we could use reduction of order again to find a second solution. To find w 1 (t), we first look back at the original equation from the beginning of the problem, and notice that we may rewrite t 3 (a solution of the equation) as t(t 2 ). Plugging it into ( ) and simplifying as we did with v(t), we see that (t 2 ) + 8 3t (t2 ) + 8 3t 2 (t2 ) = 0. 2

That is to say, t 2 is a solution of ( ). Therefore (2t) + 8 3t (2t) + 8 (2t) = 0, 3t2 or, after factoring out and dividing by 2, that (t) + 8 3t (t) + 8 (t) = 0. 3t2 In other words, w 1 (t) = t is a solution of the homogeneous equation ( ). Therefore we may use reduction of order a second time to help us find another solution, w 2 (t) = w 1 (t)u(t) = tu(t). Using the same procedure as before we find: and or equivalently w 2 = tu w 2 = tu + u w 2 = tu + 2u (tu + 2u ) + 8 3t (tu + u) + 8 3t 2 (tu) = 0 (t)u + (2 + 8 3 )u + ( 8 3t 8 3t )u = 0 tu + 14 3 u = 0 u + 14 3t u = 0. ( ) Notice that this is again an equation involving no u terms, and so we may introduce the function z(t) = u (t) to rewrite it as z + 14 z = 0. ( ) 3t Finally we have arrived at a separable, first-order, linear differential equation which we may solve explicitly: z(t) = A 1 t 14/3. We can now work in reverse to finally recover the solution y 3 (t) we have been seeking all along. Since we have found the general solution for ( ), and since z = u, we may find the general solution for ( ) by integrating: u(t) = z(t)dt = A 1 t 14/3 dt = A 2 t 11/3 + A 3, where A 2 = 3 11 A 1. 3

From here, we wish to find a second solution to ( ), w 2 (t): w 2 (t) = w 1 (t)u(t) = t(a 2 t 11/3 + A 3 ) = A 2 t 8/3 + A 3 t. Since we only wish to find a second specific solution, linearly independent from w 1 (t) = t, we may take A 2 = 1 and A 3 = 0 to get w 2 (t) = t 8/3. This means that the general solution to ( ) is w(t) = d 1 t + d 2 t 8/3. To find the general solution of ( ) we note that w = v and integrate the above function to get v(t) = w(t)dt = d 1 t + d 2 t 8/3 dt = D 1 t 2 + D 2 t 5/3 + D 3, where D 1 = 1 2 d 1, D 2 = 3 5 d 2. Finally, we use this v(t) to find a solution of ( ), y 3 (t), that is linearly independent of y 1 (t) and y 2 (t): y 3 (t) = y 1 (t)v(t) = t(d 1 t 2 + D 2 t 5/3 + D 3 ) = D 1 t 3 + D 2 t 2/3 + D 3 t. Taking D 1 = D 3 = 0 and D 2 = 1, we find our desired solution y 3 (t) = t 2/3. Hence the final, general solution to the problem, is given by a linear combination of y 1, y 2, and y 3 : Shortcut: y(t) = c 1 t + c 2 t 3 + c 3 t 2/3. While the above method is a good exercise in the method of reduction of order, there is an interesting trick that can help you solve this differential equation much more quickly. Recall that in our study of linear differential equations with constant coefficients, we began by supposing that a solution was of the form e rt. From here, were took derivates and upon substituting into the differential equation, we arrived at a polynomial in r, the roots of which were the solutions we sought. 4

In this problem, suppose that a solution of ( ) is of the form y(t) = t k. We are already given that t and t 3 are solutions, so it s not unreasonable to assume a third solution would be of this form as well. Taking derivatives and plugging them into the equation, we find 3t 3 (k(k 1)(k 2)t k 3 ) t 2 (k(k 1)t k 2 ) 6t(kt k 1 ) + 6(t k ) = 0 3k(k 1)(k 2)t k k(k 1)t k 6kt k + 6t k = 0 [ 3k 3 10k 2 + k + 6 ] t k = 0 Hence, if k 0 is a root of p(k) = 3k 3 10k 2 + k + 6, then we must have that t k0 is a solution of ( ). In general, factoring p(k) might be difficult. However, since we already know that t 1 and t 3 are solutions of the equation, then we must have that k 1 = 1 and k 2 = 3 are roots of p(k). That is, we must have that both k 1 and k 3 divide p(k). After doing the polynomial long division, we are left with 3k + 2 = 0, which obviously has the solution k 3 = 2/3. Therefore y 3 (t) = t 2/3 must be a solution as well. 5