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In mathematics, the Mellin inversion formula (named after Hjalmar Mellin) tells us conditions under which the inverse Mellin transform, or equivalently the inverse two-sided Laplace transform, are defined and recover the transformed function.


Method

If \varphi(s) is analytic in the strip a < \Re(s) < b, and if it tends to zero uniformly as \Im(s) \to \pm \infty for any real value ''c'' between ''a'' and ''b'', with its integral along such a line converging absolutely, then if :f(x)= \ = \frac \int_^ x^ \varphi(s)\, ds we have that :\varphi(s)= \ = \int_0^ x^ f(x)\,dx. Conversely, suppose f(x) is piecewise continuous on the positive real numbers, taking a value halfway between the limit values at any jump discontinuities, and suppose the integral :\varphi(s)=\int_0^ x^ f(x)\,dx is absolutely convergent when a < \Re(s) < b. Then f is recoverable via the inverse Mellin transform from its Mellin transform \varphi. These results can be obtained by relating the Mellin transform to the
Fourier transform A Fourier transform (FT) is a mathematical transform that decomposes functions into frequency components, which are represented by the output of the transform as a function of frequency. Most commonly functions of time or space are transformed, ...
by a change of variables and then applying an appropriate version of the Fourier inversion theorem.


Boundedness condition

The boundedness condition on \varphi(s) can be strengthen if f(x) is continuous. If \varphi(s) is analytic in the strip a < \Re(s) < b, and if , \varphi(s), < K , s, ^, where ''K'' is a positive constant, then f(x) as defined by the inversion integral exists and is continuous; moreover the Mellin transform of f is \varphi for at least a < \Re(s) < b. On the other hand, if we are willing to accept an original f which is a generalized function, we may relax the boundedness condition on \varphi to simply make it of polynomial growth in any closed strip contained in the open strip a < \Re(s) < b. We may also define a
Banach space In mathematics, more specifically in functional analysis, a Banach space (pronounced ) is a complete normed vector space. Thus, a Banach space is a vector space with a metric that allows the computation of vector length and distance between ve ...
version of this theorem. If we call by L_(R^) the weighted
Lp space In mathematics, the spaces are function spaces defined using a natural generalization of the -norm for finite-dimensional vector spaces. They are sometimes called Lebesgue spaces, named after Henri Lebesgue , although according to the Bourb ...
of complex valued functions f on the positive reals such that :\, f\, = \left(\int_0^\infty , x^\nu f(x), ^p\, \frac\right)^ < \infty where ν and ''p'' are fixed real numbers with p>1, then if f(x) is in L_(R^) with 1 < p \le 2, then \varphi(s) belongs to L_(R^) with q = p/(p-1) and :f(x)=\frac \int_^ x^ \varphi(s)\,ds. Here functions, identical everywhere except on a set of measure zero, are identified. Since the two-sided Laplace transform can be defined as : \left\(s) = \left\(s) these theorems can be immediately applied to it also.


See also

* Mellin transform * Nachbin's theorem


References

* * * * * *{{cite book , last=Zemanian , first=A. H. , title=Generalized Integral Transforms , publisher=John Wiley & Sons , year=1968


External links


Tables of Integral Transforms
at EqWorld: The World of Mathematical Equations. Integral transforms Theorems in complex analysis Laplace transforms