/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 14 Unless it is otherwise requested... [FREE SOLUTION] | 91Ó°ÊÓ

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Unless it is otherwise requested, find the general solution valid near the origin. Always state the region of validity of the solution. \(y^{\prime \prime}-2(x+3) y^{\prime}-3 y=0 .\) Solve about \(x=-3\)

Short Answer

Expert verified
Solution near \( x = -3 \) using series expansion in terms of \( z = x+3 \). Valid near \( x = -3 \).

Step by step solution

01

Identify the differential equation and point of interest

The differential equation given is \( y'' - 2(x+3)y' - 3y = 0 \). We need to find the solution around \( x = -3 \). The equation is a linear second-order differential equation with variable coefficients.
02

Change of variable

To solve around \( x = -3 \), perform a change of variable: let \( z = x + 3 \). Then, \( x = -3 \) corresponds to \( z = 0 \). The differential equation becomes \( \frac{d^2 y}{dz^2} - 2z \frac{dy}{dz} - 3y = 0 \).
03

Analyze the form of the differential equation

The transformed equation \( \frac{d^2 y}{dz^2} - 2z \frac{dy}{dz} - 3y = 0 \) is still linear with non-constant coefficients centered around \( z = 0 \). We should look for a series solution valid near \( z = 0 \) (or \( x = -3 \)).
04

Assume a series solution

Assume a power series solution of the form \( y(z) = \sum_{n=0}^{\infty} a_n z^n \). Substitute this series into the differential equation and determine the coefficients \( a_n \).
05

Substitute and equate powers of z

Substitute \( y(z) = \sum_{n=0}^{\infty} a_n z^n \), its first derivative \( y'(z) = \sum_{n=1}^{\infty} n a_n z^{n-1} \), and the second derivative \( y''(z) = \sum_{n=2}^{\infty} n(n-1) a_n z^{n-2} \) into the differential equation.
06

Solve for the coefficients

After substituting, group terms by powers of \( z \) and solve the resulting recurrence relation to find expressions for the coefficients \( a_n \). Apply initial conditions if provided, or determine a general form for the solution if initial conditions are not specified.
07

State the general solution and region of validity

The general solution will be of the form \( y(z) = C_1 f_1(z) + C_2 f_2(z) \), where \( f_1(z) \) and \( f_2(z) \) are found from the recurrence relations. The solution is valid for values of \( z \) near 0, which corresponds to values of \( x \) near -3 in the original variable.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Linear Second-Order Differential Equation
A linear second-order differential equation is a type of differential equation characterized by a second derivative and linearity in terms of the dependent variable and its derivatives. The equation generally takes the form:
  • \( a(x) \frac{d^2y}{dx^2} + b(x) \frac{dy}{dx} + c(x)y = g(x) \)
where \( a(x) \), \( b(x) \), and \( c(x) \) are functions of the independent variable \( x \), and \( g(x) \) is a function that may be zero, indicating a homogeneous equation.
In the exercise, the given equation \( y'' - 2(x+3)y' - 3y = 0 \) is homogeneous as \( g(x) = 0 \). Solving these equations often involves transformation techniques, especially when coefficients depend on the independent variable, making them more complex to tackle directly.
Series Solution
To solve a differential equation like the one in the exercise, we can use a series solution. A series solution involves expressing the solution as an infinite sum of terms, typically a power series.
This approach is particularly useful when the differential equation has variable coefficients and is centered around a point of interest, which in our case, is \( x = -3 \). The goal is to write the solution in the form:
  • \( y(z) = \sum_{n=0}^{\infty} a_n z^n \)
where \( a_n \) are constants to be determined. The series solution method leverages calculus, specifically the ability to differentiate and integrate power series term-by-term, providing a powerful tool to obtain approximations of functions that solve the differential equation in a local interval around the point of interest.
Change of Variable
The change of variable is a strategic tool used to simplify the form of a differential equation, making it easier to solve. By changing the variable, we center our focus on a specific point of interest, which can simplify the coefficients of the differential equation.
In the given problem, a change of variables is applied by letting \( z = x + 3 \). This shifts the equation to be centered around \( z = 0 \). Consequently, the differential equation \( y'' - 2(x+3)y' - 3y = 0 \) transforms to:
  • \( \frac{d^2 y}{dz^2} - 2z \frac{dy}{dz} - 3y = 0 \)
This transformation simplifies calculations and allows us to pursue a series solution more easily by focusing around the newly defined center \( z = 0 \). By doing so, we align the problem to suit power series expansion, effectively managing the complexities introduced by variable coefficients.
Power Series
A power series is an infinite series of the form \( \sum_{n=0}^\infty a_n z^n \), where \( a_n \) are coefficients and \( z^n \) term contributes increasingly higher powers of \( z \). This kind of series is a flexible mathematical tool used to represent functions analytically, especially near a point where the function behaves in an analytic manner.
In the context of solving differential equations, power series allow us to express solutions in terms of simple, polynomial-like components. We assume a solution of the form:
  • \( y(z) = \sum_{n=0}^\infty a_n z^n \)
We then derive recurrence relations by substituting this series along with its derivatives back into the differential equation, solving for the coefficients \( a_n \). This process captures the behavior of solutions locally, producing a valid approximate solution near the specified point (for instance \( z = 0 \) in our exercise). This approach is essential when exact solutions are either difficult or impossible to find directly.

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