Solves linear ODEs (especially IVPs) by transforming the time-domain ODE into an algebraic equation in the s-domain, solving algebraically, then inverting back to time.
The procedure
Given an IVP with , :
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Take the Laplace transform of both sides. Use linearity and the derivative properties:
- (look up or compute)
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Substitute initial conditions into the resulting algebraic expression.
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Solve algebraically for . Often involves partial fractions.
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Invert the Laplace transform: .
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Verify (a posteriori): check continuity, differentiability, and that the initial conditions are satisfied.
Why this works
The derivative property converts into minus initial-condition terms. So a linear ODE with constant coefficients becomes a polynomial equation in , which is just algebra.
The initial conditions are automatically incorporated as the constants you subtract during transformation. No need to apply them at the end like with general-solution methods.
Advantages
Where it pays off:
- You only want the particular solution to an IVP. No need to find the homogeneous general solution first.
- Forcing is discontinuous. Handles step functions and impulses cleanly.
- Some linear ODEs with variable coefficients, though this is more delicate.
- Integral equations: Laplace transforms convolutions to products.
Compared to other methods:
- vs Method of undetermined coefficients: Laplace handles arbitrary forcing without needing to guess, but undetermined coefficients is faster for nice forcings.
- vs Method of variation of parameters: Laplace handles initial conditions natively; variation of parameters gives a general particular solution that doesn’t depend on initial conditions.
Worked example: simple IVP
Find .
Partial fractions: .
. Set : , . Set : , .
Inverse:
Worked example: shifted denominator
Find .
By the first shifting theorem: .
Identify shifted by : .
. So:
Worked example: full IVP with time shift
, , .
The initial conditions are at , but Laplace expects them at . Shift: let . Then , and the forcing becomes .
The IVP in : , , .
Take Laplace (). With and :
Substituting into the ODE:
Inverse:
For : identify , . So .
For : rewrite as . Inverses: and .
Sum: .
Convert back to : , so:
When inversion is hard
Often the hardest step is the inverse Laplace transform. Strategies:
- Match against a table: recognize standard forms.
- Partial fractions: decompose into simpler pieces, each invertible.
- Complete the square. Turn into , useful for the shifted-denominator forms.
- First / second shifting theorems, for shifted versions of standard forms.
See Inverse Laplace transform for the inverse direction in detail.