Inhomogeneous Second-Order ODE

Definition

The inhomogeneous linear second-order ODE:

where is the inhomogeneous (forcing) term.

Intuition

Linearity guarantees that the total response equals the free (homogeneous) response plus a forced (particular) response. The homogeneous part encodes the system’s natural behaviour; the particular part encodes how the system responds to the specific input . Discontinuous or impulsive forcing terms are most cleanly handled by converting to an algebraic problem via the Laplace transform.

Formal Description

Three-step solution method

  1. Solve the associated homogeneous ODE for two independent solutions , , and form
  1. Find a particular solution satisfying the full inhomogeneous ODE. When are constants and is a polynomial, exponential, sine, or cosine, an undetermined-coefficients ansatz works.
  2. Write the general solution and apply the initial conditions to determine .

Linearity guarantees solves the ODE:

Discontinuous inhomogeneous term

For an inhomogeneous term involving the Heaviside step function, e.g.\ , the Laplace transform method is most efficient.

Example. Solve , .

Taking the Laplace transform:

Setting , the solution is

Impulsive inhomogeneous term

For a Dirac delta forcing , the Laplace transform gives .

Example. Solve , .

Note: is continuous at but is not — impulsive forcing produces a velocity discontinuity.

Key Results

  • The general solution is always a sum of the homogeneous and a particular solution.
  • Laplace transforms are the preferred method for discontinuous or impulsive forcing terms.
  • Impulsive forcing causes a jump in the first derivative but not in itself.

Applications

  • Driven mechanical oscillators (springs with periodic or impulsive forcing).
  • Electrical circuits with switched or pulsed voltage sources.
  • Any control-theory system with a specified input signal .

Trade-offs

  • The undetermined-coefficients method is only systematic when is a polynomial, exponential, sine, or cosine (or products thereof); variation of parameters is needed otherwise.
  • For piecewise or impulsive , the Laplace method is far more efficient but requires facility with partial fractions and the transform table.
  • Initial conditions are applied to the full solution , not to alone — a common source of error.