Laplace Convolution:
From: | To: |
The convolution theorem states that the Laplace transform of a convolution is the product of the individual Laplace transforms. This is a fundamental concept in systems analysis and differential equations.
The calculator uses the convolution theorem:
Where:
Explanation: The convolution integral in the time domain becomes simple multiplication in the Laplace domain.
Details: Convolution is essential for solving linear time-invariant systems, particularly in control theory and signal processing.
Tips: Enter time-domain functions f(t) and g(t) using standard mathematical notation (e.g., "sin(t)", "e^(-2t)", "t^2").
Q1: What types of functions can I input?
A: The calculator supports standard elementary functions - polynomials, exponentials, trigonometric functions, etc.
Q2: How is convolution different from multiplication?
A: Convolution is an integral operation that combines two functions, while multiplication simply multiplies their values pointwise.
Q3: What are common applications of convolution?
A: Signal processing, system response analysis, probability distributions, and image processing.
Q4: Does convolution commute?
A: Yes, f * g = g * f (the operation is commutative).
Q5: What's the relationship with Fourier transforms?
A: Similar to Laplace, Fourier transforms also convert convolution to multiplication in the frequency domain.