- Parseval's identity
In
mathematical analysis , Parseval's identity is a fundamental result on thesummability of theFourier series of a function. Geometrically, it is thePythagorean theorem forinner-product space s.Informally, the identity asserts that the sum of the squares of the Fourier coefficients of a function is equal to the square integral of the function. To wit,:where the Fourier coefficients "a""n" of ƒ are given by:More formally, the result holds as stated provided ƒ is square-integrable or, more generally, in [Lp space|L2 [−π,π] . A similar result is the
Plancherel theorem , which asserts that the integral of the square of theFourier transform of a function is equal to the integral of the square of the function itself. In one-dimension, for ƒ ∈ L2(R),:The identity is related to the Pythagorean theorem in the more general setting of a separable
Hilbert space as follows. Suppose that "H" is a Hilbert space with inner product 〈•,•〉. Let ("e""n") be anorthonormal basis of "H"; i.e., thelinear span of the "e""n" is dense in "H", and the "e""n" are mutually orthonormal::
Then Parseval's identity asserts that for every "x" ∈ "H",
:
This is directly analogous to the Pythagorean theorem, which asserts that the sum of the squares of the components of a vector in an orthonormal basis is equal to the squared length of the vector. One can recover the Fourier series version of Parseval's identity by letting "H" be the Hilbert space L2 [−π,π] , and setting "e"n = "e"-i"n"πx for "n" ∈ Z.
More generally, Parseval's identity holds in any
inner-product space , not just separable Hilbert spaces. Thus suppose that "H" is an inner-product space. Let "B" be anorthonormal basis of "H"; i.e., an orthonormal set which is "total" in the sense that the linear span of "B" is dense in "H". Then:
The assumption that "B" is total is necessary for the validity of the identity. If "B" is not total, then the equality in Parseval's identity must be replaced by ≥, thus yielding
Bessel's inequality . This general form of Parseval's identity can be proved using theRiesz–Fischer theorem .References
*citation|last1=Johnson|first1=Lee W.|first2=R. Dean|last2=Riess|title=Numerical Analysis|year=1982|edition=2nd|publisher=Addison-Wesley|location=Reading, Mass.|id=ISBN 0-201-10392-3.
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