In the branch of mathematics called functional analysis, the **Laplace transform**, , is a linear operator on a function *f*(*t*) (*original* ) with a real argument *t* (*t* ≥ 0) that transforms it to a function *F*(*s*) (*image*) with a complex argument *s*. This transformation is essentially bijective for the majority of practical uses; the respective pairs of *f(t)* and *F(s)* are matched in tables. The Laplace transform has the useful property that many relationships and operations over the originals *f*(*t*) correspond to simpler relationships and operations over the images *F*(*s*)^{[1]}.

The Laplace transform has many important applications in mathematics, physics, optics, electrical engineering, control engineering, signal processing, and probability theory. In mathematics, it is used for solving differential and integral equations. In physics, it is used for analysis of linear time-invariant systems such as electrical circuits, harmonic oscillators, optical devices, and mechanical systems. In this analysis, the Laplace transform is often interpreted as a transformation from the *time-domain*, in which inputs and outputs are functions of time, to the *frequency-domain*, where the same inputs and outputs are functions of complex angular frequency, or radians per unit time. Given a simple mathematical or functional description of an input or output to a system, the Laplace transform provides an alternative functional description that often simplifies the process of analyzing the behavior of the system, or in synthesizing a new system based on a set of specifications.

The Laplace transform is named in honor of mathematician and astronomer Pierre-Simon Laplace, who used the transform in his work on probability theory.

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