Two-sided Laplace transform

If u is the Heaviside step function, equal to zero when its argument is less than zero, to one-half when its argument equals zero, and to one when its argument is greater than zero, then the Laplace transform ${\displaystyle {\mathcal {L}}}$ may be defined in terms of the two-sided Laplace transform by

${\displaystyle {\mathcal {L}}\{f\}={\mathcal {B}}\{fu\}.}$

On the other hand, we also have

${\displaystyle {\mathcal {B}}\{f\}={\mathcal {L}}\{f\}+{\mathcal {L}}\{f\circ m\}\circ m,}$

where ${\displaystyle m:\mathbb {R} \to \mathbb {R} }$ is the function that multiplies by minus one (${\displaystyle m(x):=-x\quad \forall x\in \mathbb {R} }$), so either version of the Laplace transform can be defined in terms of the other.

The Mellin transform may be defined in terms of the two-sided Laplace transform by

${\displaystyle {\mathcal {M}}\{f\}={\mathcal {B}}\{f\circ {\exp }\circ m\},}$

with ${\displaystyle m}$ as above, and conversely we can get the two-sided transform from the Mellin transform by

${\displaystyle {\mathcal {B}}\{f\}={\mathcal {M}}\{f\circ m\circ \log \}.}$

The Fourier transform may also be defined in terms of the two-sided Laplace transform; here instead of having the same image with differing originals, we have the same original but different images. We may define the Fourier transform as

${\displaystyle {\mathcal {F}}\{f(t)\}=F(s=i\omega )=F(\omega ).}$

Note that definitions of the Fourier transform differ, and in particular

${\displaystyle {\mathcal {F}}\{f(t)\}=F(s=i\omega )={\frac {1}{\sqrt {2\pi }}}{\mathcal {B}}\{f(t)\}(s)}$

is often used instead. In terms of the Fourier transform, we may also obtain the two-sided Laplace transform, as

${\displaystyle {\mathcal {B}}\{f(t)\}(s)={\mathcal {F}}\{f(t)\}(-is).}$

The Fourier transform is normally defined so that it exists for real values; the above definition defines the image in a strip ${\displaystyle a<\Im (s)<b}$ which may not include the real axis.

The moment-generating function of a continuous probability density function ƒ(x) can be expressed as ${\displaystyle {\mathcal {B}}\{f\}(-s)}$.

For any two functions ${\textstyle f,g}$ for which the two-sided Laplace transforms ${\textstyle {\mathcal {T}}\{f\},{\mathcal {T}}\{g\}}$ exist, if ${\textstyle {\mathcal {T}}\{f\}={\mathcal {T}}\{g\},}$ i.e. ${\textstyle {\mathcal {T}}\{f\}(t)={\mathcal {T}}\{g\}(t)}$ for every value of ${\textstyle t\in \mathbb {R} ,}$ the ${\textstyle f=g}$ almost everywhere.

One property is like that of the unilateral transform but with an important difference:

Properties of the unilateral Laplace transform

	Time domain	unilateral-'s' domain	bilateral-'s' domain
Differentiation	${\displaystyle f'(t)\ }$	${\displaystyle sF(s)-f(0)\ }$	${\displaystyle sF(s)\ }$
Second-order differentiation	${\displaystyle f''(t)\ }$	${\displaystyle s^{2}F(s)-sf(0)-f'(0)\ }$	${\displaystyle s^{2}F(s)\ }$

Bilateral transform requirements for convergence are more difficult than for unilateral transforms. The region of convergence will be normally smaller.

If f is a locally integrable function (or more generally a Borel measure locally of bounded variation), then the Laplace transform F(s) of f converges provided that the limit

${\displaystyle \lim _{R\to \infty }\int _{0}^{R}f(t)e^{-st}\,dt}$

exists. The Laplace transform converges absolutely if the integral

${\displaystyle \int _{0}^{\infty }\left|f(t)e^{-st}\right|\,dt}$

exists (as a proper Lebesgue integral). The Laplace transform is usually understood as conditionally convergent, meaning that it converges in the former instead of the latter sense.

The set of values for which F(s) converges absolutely is either of the form Re(s) > a or else Re(s) ≥ a, where a is an extended real constant, −∞ ≤ a ≤ ∞. (This follows from the dominated convergence theorem.) The constant a is known as the abscissa of absolute convergence, and depends on the growth behavior of f(t).[1] Analogously, the two-sided transform converges absolutely in a strip of the form a < Re(s) < b, and possibly including the lines Re(s) = a or Re(s) = b.[2] The subset of values of s for which the Laplace transform converges absolutely is called the region of absolute convergence or the domain of absolute convergence. In the two-sided case, it is sometimes called the strip of absolute convergence. The Laplace transform is analytic in the region of absolute convergence.

Similarly, the set of values for which F(s) converges (conditionally or absolutely) is known as the region of conditional convergence, or simply the region of convergence (ROC). If the Laplace transform converges (conditionally) at s = s₀, then it automatically converges for all s with Re(s) > Re(s₀). Therefore the region of convergence is a half-plane of the form Re(s) > a, possibly including some points of the boundary line Re(s) = a. In the region of convergence Re(s) > Re(s₀), the Laplace transform of f can be expressed by integrating by parts as the integral

${\displaystyle F(s)=(s-s_{0})\int _{0}^{\infty }e^{-(s-s_{0})t}\beta (t)\,dt,\quad \beta (u)=\int _{0}^{u}e^{-s_{0}t}f(t)\,dt.}$

That is, in the region of convergence F(s) can effectively be expressed as the absolutely convergent Laplace transform of some other function. In particular, it is analytic.

There are several Paley–Wiener theorems concerning the relationship between the decay properties of f and the properties of the Laplace transform within the region of convergence.

In engineering applications, a function corresponding to a linear time-invariant (LTI) system is stable if every bounded input produces a bounded output.

Bilateral transforms do not respect causality. They make sense when applied over generic functions but when working with functions of time (signals) unilateral transforms are preferred.

• Causal filter
• Acausal system
• Causal system
• Sinc filter – ideal sinc filter (aka rectangular filter) is acausal and has an infinite delay.

• LePage, Wilbur R., Complex Variables and the Laplace Transform for Engineers, Dover Publications, 1980/
• Van der Pol, Balthasar, and Bremmer, H., Operational Calculus Based on the Two-Sided Laplace Integral, Chelsea Pub. Co., 3rd ed., 1987.
• Widder, David Vernon (1941), The Laplace Transform, Princeton Mathematical Series, v. 6, Princeton University Press, MR 0005923.