Laplace Transform Calculator
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What is the Laplace Transform?
The Laplace transform converts a function of time into a function of complex frequency :
The transform is defined for in some right half-plane where the integral converges.
Why this is useful: Laplace converts differentiation into multiplication by , turning linear ODEs with constant coefficients into algebraic equations in . You solve the algebra, then take the inverse Laplace transform to get the answer in the time domain.
Laplace transforms also handle discontinuous and impulsive inputs (step functions, Dirac deltas) elegantly, which makes them indispensable in control theory, signal processing, and electrical engineering.
How to Compute Laplace Transforms
Basic Transform Pairs
Memorize the core table:
| (step) | |
Key Properties
Linearity:
First Shifting (s-shift):
This is how .
Differentiation in the -domain:
This is what converts ODEs into algebra: derivatives become polynomials in multiplied by , with initial conditions baked in.
Multiplication by :
Inverse Laplace Transform
Given , find such that . Standard techniques:
- Partial fractions: decompose into simple rational pieces matching the table.
- Completing the square: for shapes, rewrite as to match the shifted sine table entry.
- Look up and combine using linearity.
Solving ODEs with Laplace
For , :
- Apply Laplace:
- Solve for : , so (after simplification).
- Invert: .
Clean and mechanical — the same problem with variation of parameters takes twice the work.
Common Mistakes to Avoid
- Forgetting initial conditions: . Skipping is the single most common error.
- Wrong sign in s-shift: , not . Sign matters.
- Mishandling discontinuities: For step inputs, use the unit-step function and the time-shift theorem .
- Inverse transform without partial fractions: does not invert directly — decompose first.
- Confusing with : is the transform, is the original. Always end ODE problems back in the time domain.
Examples
Frequently Asked Questions
The Laplace transform exists when the integral ∫₀^∞ e^(-st)f(t) dt converges. This typically requires f to grow no faster than exponentially as t → ∞, and Re(s) to exceed the function's exponential order.
The Laplace transform integrates over [0, ∞) with kernel e^(-st) where s is complex; it handles initial-value problems and exponentially growing inputs. The Fourier transform integrates over (-∞, ∞) with kernel e^(-iωt); it handles steady-state frequency content of functions that decay at infinity.
Because ℒ{f'} = sF(s) - f(0), differentiation in t becomes multiplication by s in the s-domain. A linear ODE with constant coefficients becomes a polynomial equation in s, which you solve algebraically.
For rational F(s) with degree of numerator less than degree of denominator, yes — using partial fractions and the standard table. For non-rational F(s), the inverse may require contour integration (Bromwich integral) or have no closed form.
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