Enter a function and instantly get its Laplace transform with steps explained.
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Use this Laplace transform calculator to find the Laplace transformation of a function f(t) or an ordinary differential equation (ODE). The calculator applies relevant formulas and integral operations to provide accurate results with detailed steps.
Laplace transform is a mathematical technique that converts a time-domain function f(t) into a function of a complex variable s. It is widely used in physics, engineering, and control theory to solve ODEs.
Mathematically:
Where:
F(s) = ∫0∞ f(t)e-st dt
Example:
Given: f(t) = 6e^{-5t} + e^{3t} + 5t³ - 9
Step 1: Apply the Laplace formula
F(s) = ∫0∞ (6e-5t + e3t + 5t3 - 9)e-st dtStep 2: Solve each term individually
Final Answer:
F(s) = 6/(s + 5) + 1/(s - 3) + 30/s4 - 9/s
Step 3: Combine all terms
F(s) = 6 / (s + 5) + 1 / (s - 3) + 30 / s⁴ + 9 / s
To convert back to the time domain, use the Inverse Laplace Transform Calculator.
Common Laplace transforms:
| Function | Time-domain f(t) | Laplace Transform F(s) |
|---|---|---|
| Constant | 1 | 1/s |
| Linear | t | 1/s² |
| Power | tⁿ | n! / sn+1 |
| Exponent | eat | 1/(s-a) |
| Sine | sin(at) | a / (s² + a²) |
| Cosine | cos(at) | s / (s² + a²) |
| Hyperbolic sine | sinh(at) | a / (s² - a²) |
| Hyperbolic cosine | cosh(at) | s / (s² - a²) |
| Growing sine | t sin(at) | 2as / (s² + a²)² |
| Growing cosine | t cos(at) | (s² - a²) / (s² + a²)² |
| Decaying sine | e-at sin(ωt) | ω / ((s+a)² + ω²) |
| Decaying cosine | e-at cos(ωt) | (s+a) / ((s+a)² + ω²) |
| Delta function | δ(t) | 1 |
| Delayed delta | δ(t-a) | e-as |
Our online Laplace transform calculator automates the transformations of functions based on the following properties:
| Property | Equation |
|---|---|
| Linearity | L{f(t) + g(t)} = F(s) + G(s) |
| Time Delay | L{f(t - td)} = e-s td F(s) |
| First Derivative | L{f'(t)} = s F(s) - f(0-) |
| Second Derivative | L{f''(t)} = s² F(s) - s f(0-) - f'(0-) |
| Nth Derivative | L{f(n)(t)} = snF(s) - sn-1f(0-) - sn-2f'(0-) - ... - f(n-1)(0-) |
| Integration | L{∫f(t) dt} = 1/s F(s) |
| Convolution | L{f(t) * g(t)} = F(s) G(s) |
| Initial Value Theorem | lim(s→∞) s F(s) = f(0-) |
| Final Value Theorem | lim(s→0) s F(s) = f(∞) |
Laplace Transform converts a time-domain signal into a complex frequency-domain signal. Fourier Transform converts it into the 'jw' complex plane, a special case of Laplace Transform when the real part is zero.
Yes. If f(t) = 0, then F(s) = 0, following the linearity property of the Laplace Transform.
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