The Laplace transform converts a function of time f(t) into a function of a complex variable s. The transform is defined as the integral from zero to infinity of f(t) e^(-st) dt. While this definition may seem abstract, the Laplace transform is one of the most practical tools in engineering for solving differential equations.
The key advantage is that differentiation in the time domain becomes multiplication by s in the Laplace domain. Specifically, the Laplace transform of f'(t) equals s times F(s) minus f(0), and the transform of f''(t) equals s squared times F(s) minus s f(0) minus f'(0). This converts a differential equation into an algebraic equation in s, which is much easier to solve.
After solving the algebraic equation for F(s), you apply the inverse Laplace transform to recover f(t). In practice, you use tables of known transforms and their inverses, often combined with partial fraction decomposition. Our Laplace transform reference provides a lookup table for common functions.
Essential transform pairs include: the Laplace transform of 1 is 1/s; of t is 1/s squared; of t^n is n factorial over s to the (n+1); of e^(at) is 1/(s minus a); of sine at is a over (s squared plus a squared); and of cosine at is s over (s squared plus a squared).
The unit step function u(t) (0 for t less than 0, 1 for t greater than or equal to 0) and the Dirac delta function delta(t) are fundamental inputs in control theory. The transform of the delta function is 1, and the transform of u(t) is 1/s. These functions model sudden impulses and switches turning on.
Transfer functions describe the input-output relationship of linear time-invariant systems. If H(s) is the transfer function and X(s) is the input, the output is Y(s) equals H(s) X(s). Poles (values of s where H(s) is infinite) determine stability: all poles must have negative real parts for a stable system.
Applications extend beyond differential equations. In circuit analysis, Laplace transforms convert differential equations for voltages and currents into algebraic equations using impedances. In control theory, block diagrams and feedback systems are analyzed using transfer functions. In probability, the Laplace transform of a probability density function is the moment-generating function.