⚙️

Understanding Separable Differential Equations

Apr 29, 2025

Differential Equations - Separable Equations

Introduction

  • Focus on nonlinear first order differential equations.
  • First type: Separable Differential Equations.

Definition of Separable Differential Equations

  • Can be expressed in the form: ( N(y) \frac{dy}{dx} = M(x) ).
  • Condition: All ( y )'s must be with the derivative, and all ( x )'s must be on the other side.

Solving Separable Differential Equations

  1. Integrate both sides with respect to ( x ):
    • ( \int N(y) \frac{dy}{dx} dx = \int M(x) dx ).
  2. Use substitution:
    • Let ( u = y(x) ), hence ( du = y'(x) dx = \frac{dy}{dx} dx ).
    • Substitute into the integral: ( \int N(u) du = \int M(x) dx ).
  3. Integration and Back-substitution:
    • Integrate both sides and substitute back for ( u ) to find ( y(x) ).
    • Note: Integration might not always be possible.

Practical Approach

  • "Separate the derivative": Pretend you can write ( N(y) dy = M(x) dx ).
  • Integrate: ( \int N(y) dy = \int M(x) dx ).
  • Compare with the substitution method to confirm results.

Solution Types

  • Implicit Solution: Not in form ( y = y(x) ).
  • Explicit Solution: Solved for ( y(x) ).
  • Validity: Check interval of validity for the solution.
    • Avoid division by zero, complex numbers, logarithms of negative/zero.

Examples

  • Various solved examples illustrating the process and issues:
    • Example 1: Basic separable equation solved.
    • Example 2 to 6: Initial Value Problems (IVPs) solved, highlighting interval of validity and difficulties in obtaining explicit solutions.

Conclusion

  • Be aware that not all separable differential equations yield explicit solutions.
  • Check the range for which the solution is valid.

Additional Information

  • Contact for assistance and additional resources on the topic.
  • Content provided by Paul Dawkins, last modified on 2/6/2023.

This summary captures the key points and methodologies surrounding separable differential equations as explained by Paul Dawkins.