Use the reduction of order to find the general solution 21. xy" - y - (x + 1)y= 0, y₁ = e. (0,00).

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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**Title: Solving Second-Order Linear Homogeneous Differential Equations Using Reduction of Order**

**Objective:**
Learn to solve a second-order linear homogeneous differential equation by employing the reduction of order method to find the general solution.

**Problem Statement:**
Use the reduction of order to find the general solution of the differential equation:

\[ xy'' - y' - (x + 1)y = 0, \quad y_1 = e^{-x}, \quad (0, \infty) \]

**Explanation:**
In this task, we aim to find the general solution to the given ordinary differential equation (ODE) using the reduction of order technique. We have one solution, \( y_1 = e^{-x} \), provided for the differential equation.

**Method:**
1. **Reduction of Order:**
   - Assume a solution of the form \( y = v(x) y_1(x) \).
   - Substitute \( y = v e^{-x} \) into the original ODE to derive a simpler equation for \( v(x) \).
   
2. **Substitution & Simplification:**
   - Differentiate the assumed solution to obtain expressions for \( y' \) and \( y'' \).
   - Plug these into the original differential equation.
   - Simplify to obtain a first-order differential equation in terms of \( v \) and its derivatives.
   
3. **Solve for \( v(x) \):**
   - Solve the resulting first-order equation to find \( v(x) \).
   - The solution might involve integration and algebraic manipulation.
   
4. **General Solution:**
   - Combine the original given solution \( y_1 \) and the solution for \( v(x) \) to form the general solution \( y(x) = C_1 y_1 + C_2 y_2 \), where \( y_2 = v(x) y_1(x) \).

**Conclusion:**
This method is particularly useful when a single solution of the differential equation is known, and it helps in finding a second linearly independent solution, thus constructing the general solution.

**Notes:**
- The solution is valid for the interval \( (0, \infty) \) as specified.
- Understanding the reduction of order technique is crucial for tackling higher-order differential equations when partial solutions are known.
Transcribed Image Text:**Title: Solving Second-Order Linear Homogeneous Differential Equations Using Reduction of Order** **Objective:** Learn to solve a second-order linear homogeneous differential equation by employing the reduction of order method to find the general solution. **Problem Statement:** Use the reduction of order to find the general solution of the differential equation: \[ xy'' - y' - (x + 1)y = 0, \quad y_1 = e^{-x}, \quad (0, \infty) \] **Explanation:** In this task, we aim to find the general solution to the given ordinary differential equation (ODE) using the reduction of order technique. We have one solution, \( y_1 = e^{-x} \), provided for the differential equation. **Method:** 1. **Reduction of Order:** - Assume a solution of the form \( y = v(x) y_1(x) \). - Substitute \( y = v e^{-x} \) into the original ODE to derive a simpler equation for \( v(x) \). 2. **Substitution & Simplification:** - Differentiate the assumed solution to obtain expressions for \( y' \) and \( y'' \). - Plug these into the original differential equation. - Simplify to obtain a first-order differential equation in terms of \( v \) and its derivatives. 3. **Solve for \( v(x) \):** - Solve the resulting first-order equation to find \( v(x) \). - The solution might involve integration and algebraic manipulation. 4. **General Solution:** - Combine the original given solution \( y_1 \) and the solution for \( v(x) \) to form the general solution \( y(x) = C_1 y_1 + C_2 y_2 \), where \( y_2 = v(x) y_1(x) \). **Conclusion:** This method is particularly useful when a single solution of the differential equation is known, and it helps in finding a second linearly independent solution, thus constructing the general solution. **Notes:** - The solution is valid for the interval \( (0, \infty) \) as specified. - Understanding the reduction of order technique is crucial for tackling higher-order differential equations when partial solutions are known.
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