SECOND-ORDER DIFFERENTIAL EQUATIONS 17. 17.4 Series Solutions SECOND-ORDER DIFFERENTIAL EQUATIONS In this section, we will learn how to solve: Certain.

Slides:



Advertisements
Similar presentations
Boyce/DiPrima 9th ed, Ch 2.8: The Existence and Uniqueness Theorem Elementary Differential Equations and Boundary Value Problems, 9th edition, by William.
Advertisements

Differential Equations Brannan Copyright © 2010 by John Wiley & Sons, Inc. All rights reserved. Chapter 08: Series Solutions of Second Order Linear Equations.
TECHNIQUES OF INTEGRATION
Ch 3.6: Variation of Parameters
7 TECHNIQUES OF INTEGRATION. 7.2 Trigonometric Integrals TECHNIQUES OF INTEGRATION In this section, we will learn: How to use trigonometric identities.
Integrals 5.
Ch 5.8: Bessel’s Equation Bessel Equation of order :
INFINITE SEQUENCES AND SERIES
Second-Order Differential
Infinite Sequences and Series
9.10 Taylor and Maclaurin Series Colin Maclaurin
INFINITE SEQUENCES AND SERIES
Ch 5.4: Regular Singular Points
Ch 5.2: Series Solutions Near an Ordinary Point, Part I
Ch 3.5: Nonhomogeneous Equations; Method of Undetermined Coefficients
INFINITE SEQUENCES AND SERIES
TECHNIQUES OF INTEGRATION
Ch 5.1: Review of Power Series
TECHNIQUES OF INTEGRATION
INTEGRALS 5. INTEGRALS We saw in Section 5.1 that a limit of the form arises when we compute an area.  We also saw that it arises when we try to find.
Ch 5.1: Review of Power Series Finding the general solution of a linear differential equation depends on determining a fundamental set of solutions of.
8.5 Series Solutions Near a Regular Singular Point, Part I
Differential equations 机动 目录 上页 下页 返回 结束 15.2 First-order linear equations 15.3 Exact equations 15.4 Strategy for solving first-order equations Chapter.
3 DIFFERENTIATION RULES.
Copyright © Cengage Learning. All rights reserved. 7 Techniques of Integration.
SECOND-ORDER DIFFERENTIAL EQUATIONS
 We noticed in Section 2.3 that the limit of a function as x approaches a can often be found simply by calculating the value of the function at a.  Functions.
Additional Topics in Differential Equations
The importance of sequences and infinite series in calculus stems from Newton’s idea of representing functions as sums of infinite series.  For instance,
Copyright © Cengage Learning. All rights reserved. 17 Second-Order Differential Equations.
7.4 Integration of Rational Functions by Partial Fractions TECHNIQUES OF INTEGRATION In this section, we will learn: How to integrate rational functions.
Copyright © Cengage Learning. All rights reserved. 11 Infinite Sequences and Series.
11.2 Series In this section, we will learn about: Various types of series. INFINITE SEQUENCES AND SERIES.
Differential Equations 7. Direction Fields and Euler's Method 7.2.
Boyce/DiPrima 9 th ed, Ch 5.1: Review of Power Series Elementary Differential Equations and Boundary Value Problems, 9 th edition, by William E. Boyce.
Copyright © Cengage Learning. All rights reserved. 17 Second-Order Differential Equations.
Infinite Sequences and Series 8. Taylor and Maclaurin Series 8.7.
SERIES SOLUTIONS TO DIFFERENTIAL EQUATIONS AP Calculus BC.
In section 11.9, we were able to find power series representations for a certain restricted class of functions. Here, we investigate more general problems.
DIFFERENTIAL EQUATIONS 10. DIFFERENTIAL EQUATIONS Unfortunately, it’s impossible to solve most differential equations in the sense of obtaining an explicit.
SECOND-ORDER DIFFERENTIAL EQUATIONS
Copyright © Cengage Learning. All rights reserved.
Copyright © Cengage Learning. All rights reserved.
12 INFINITE SEQUENCES AND SERIES Power Series In this section, we will learn about: Power series and testing it for convergence or divergence. INFINITE.
In this section we develop general methods for finding power series representations. Suppose that f (x) is represented by a power series centered at.
TECHNIQUES OF INTEGRATION Due to the Fundamental Theorem of Calculus (FTC), we can integrate a function if we know an antiderivative, that is, an indefinite.
Copyright © Cengage Learning. All rights reserved. 11 Infinite Sequences and Series.
Analytic Trigonometry Section 4.1 Trigonometric Identities
Second-Order Differential
Ch 10.6: Other Heat Conduction Problems
8 TECHNIQUES OF INTEGRATION. Due to the Fundamental Theorem of Calculus (FTC), we can integrate a function if we know an antiderivative, that is, an indefinite.
Advanced Engineering Mathematics, 7 th Edition Peter V. O’Neil © 2012 Cengage Learning Engineering. All Rights Reserved. CHAPTER 4 Series Solutions.
Math 3120 Differential Equations with Boundary Value Problems
INTEGRALS We saw in Section 5.1 that a limit of the form arises when we compute an area. We also saw that it arises when we try to find the distance traveled.
5 INTEGRALS.
Representations of Functions as Power Series INFINITE SEQUENCES AND SERIES In this section, we will learn: How to represent certain functions as sums of.
11.8 Power Series In this section, we will learn about: Power series and testing it for convergence or divergence. INFINITE SEQUENCES AND SERIES.
Copyright © Cengage Learning. All rights reserved Applications of Taylor Polynomials.
Copyright © Cengage Learning. All rights reserved.
SECOND-ORDER DIFFERENTIAL EQUATIONS
Copyright © Cengage Learning. All rights reserved.
Differential equations
A power series with center c is an infinite series where x is a variable. For example, is a power series with center c = 2.
Trigonometric Identities
Ch 5.2: Series Solutions Near an Ordinary Point, Part I
Copyright © Cengage Learning. All rights reserved.
Copyright © Cengage Learning. All rights reserved.
Copyright © Cengage Learning. All rights reserved.
Copyright © Cengage Learning. All rights reserved.
INFINITE SEQUENCES AND SERIES
Presentation transcript:

SECOND-ORDER DIFFERENTIAL EQUATIONS 17

17.4 Series Solutions SECOND-ORDER DIFFERENTIAL EQUATIONS In this section, we will learn how to solve: Certain differential equations using the power series.

SERIES SOLUTIONS Many differential equations can’t be solved explicitly in terms of finite combinations of simple familiar functions. This is true even for a simple-looking equation like: y’’ – 2xy’ + y = 0 Equation 1

SERIES SOLUTIONS However, it is important to be able to solve equations such as Equation 1 because they arise from physical problems.  In particular, they occur in connection with the Schrödinger equation in quantum mechanics.

USING POWER SERIES In such a case, we use the method of power series. That is, we look for a solution of the form

USING POWER SERIES The method is to substitute this expression into the differential equation and determine the values of the coefficients c 0, c 1, c 2, …  This technique resembles the method of undetermined coefficients discussed in Section 17.2

USING POWER SERIES Before using power series to solve Equation 1, we illustrate the method on the simpler equation y’’ + y = 0 in Example 1.  It’s true that we already know how to solve this equation by the techniques of Section 17.1  Still, it’s easier to understand the power series method when it is applied to this simpler equation.

USING POWER SERIES Use power series to solve y’’ + y = 0  We assume there is a solution of the form E. g. 1—Equation 2

USING POWER SERIES We can differentiate power series term by term. So, E. g. 1—Equation 3

USING POWER SERIES To compare the expressions for y and y’’ more easily, we rewrite y’’ as: E. g. 1—Equation 4

USING POWER SERIES Substituting the expressions in Equations 2 and 4 into the differential equation, we obtain: or E. g. 1—Equation 5

USING POWER SERIES If two power series are equal, then the corresponding coefficients must be equal. So, the coefficients of x n in Equation 5 must be 0: E. g. 1—Equation 6

RECURSION RELATION Equation 6 is called a recursion relation.  If c 0 and c 1 are known, it allows us to determine the remaining coefficients recursively by putting n = 0, 1, 2, 3, … in succession, as follows. Example 1

RECURSION RELATION Put n = 0: Put n = 1: Put n = 2: Example 1

RECURSION RELATION Put n = 3: Put n = 4: Put n = 5: Example 1

USING POWER SERIES By now, we see the pattern: For the even coefficients, For the odd coefficients,  Putting these values back into Equation 2, we write the solution as follows. Example 1

USING POWER SERIES Example 1  Notice that there are two arbitrary constants, c 0 and c 1.

NOTE 1 We recognize the series obtained in Example 1 as being the Maclaurin series for cos x and sin x.  See Equations 15 and 16 in Section 11.10

NOTE 1 Therefore, we could write the solution as: y(x) = c 0 cos x + c 1 sin x  However, we are not usually able to express power series solutions of differential equations in terms of known functions.

USING POWER SERIES Solve y’’ – 2xy’ + y = 0  We assume there is a solution of the form Example 2

USING POWER SERIES Then, as in Example 1, and Example 2

USING POWER SERIES Substituting in the differential equation, we get: Example 2

USING POWER SERIES The equation is true if the coefficient of x n is 0: (n + 2)(n + 1)c n+2 – (2n – 1)c n = 0 E. g. 2—Equation 7

USING POWER SERIES We solve this recursion relation by putting n = 0, 1, 2, 3, … successively in Equation 7: Put n = 0: Put n = 1: Example 2

USING POWER SERIES Put n = 2: Put n = 3: Put n = 4: Example 2

USING POWER SERIES Put n = 5: Put n = 6: Put n = 7: Example 2

USING POWER SERIES In general,  The even coefficients are given by:  The odd coefficients are given by: Example 2

USING POWER SERIES The solution is: Example 2

USING POWER SERIES Simplifying, E. g. 2—Equation 8

NOTE 2 In Example 2, we had to assume that the differential equation had a series solution. Now, however, we could verify directly that the function given by Equation 8 is indeed a solution.

NOTE 3 Unlike the situation of Example 1, the power series that arise in the solution of Example 2 do not define elementary functions.

NOTE 3 The functions and are perfectly good functions.  However, they can’t be expressed in terms of familiar functions.

NOTE 3 We can use these power series expressions for y 1 and y 2 to compute approximate values of the functions and even to graph them.

NOTE 3 The figure shows the first few partial sums T 0, T 2, T 4, … (Taylor polynomials) for y 1 (x). We see how they converge to y 1.

NOTE 3 Thus, we can graph both y 1 and y 2 as shown.

NOTE 4 Suppose we were asked to solve the initial-value problem y’’ – 2xy’ + y = 0 y(0) = 0 y’(0) = 1

NOTE 4 We would observe from Theorem 5 in Section that: c 0 = y(0) = 0 c 1 = y’(0) = 1  This would simplify the calculations in Example 2, since all the even coefficients would be 0.

NOTE 4 The solution to the initial-value problem is: