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In [[mathematical analysis]], a '''Hermitian function''' is a [[complex number|complex]] [[function (mathematics)|function]] with the property that its [[complex conjugate]] is equal to the original function with the variable changed in [[sign (mathematics)|sign]]:
 
:<math>f(-x) = \overline{f(x)}</math>
 
for all <math>x</math> in the domain of <math>f</math>. 
 
This definition extends also to functions of two or more variables, e.g., in the case that <math>f</math> is a function of two variables it is Hermitian if
 
:<math>f(-x_1, -x_2) = \overline{f(x_1, x_2)}</math>
 
for all pairs <math>(x_1, x_2)</math> in the domain of <math>f</math>.
 
From this definition it follows immediately that, if <math>f</math> is a Hermitian function, then
 
* the real part of <math>f</math> is an [[even function]]
* the imaginary part of <math>f</math> is an [[odd function]]
 
== Motivation ==
 
Hermitian functions appear frequently in mathematics, physics, and signal processing. For example, the following two statements follow from basic properties of the Fourier transform:
 
* The function <math>f</math> is real-valued if and only if the [[Fourier transform]] of <math>f</math> is Hermitian.
 
* The function <math>f</math> is Hermitian if and only if the [[Fourier transform]] of <math>f</math> is real-valued.
Since the Fourier transform of a real signal is guaranteed to be Hermitian, it can be compressed using the Hermitian even/odd symmetry.  This, for example, allows the [[discrete Fourier transform]] of  a signal (which is in general complex) to be stored in the same space as the original real signal.
 
* If ''f'' is Hermitian, then <math>f \star g = f*g</math>
 
Where the <math> \star </math> is [[cross-correlation]], and <math> * </math> is [[convolution]].
 
* If both ''f'' and ''g'' are Hermitian, then <math>f \star g = g \star f</math>, which in general is not true.
 
<!--------An example wanted for these two statements above! ------->
 
== See also ==
 
* [[Even and odd functions]]
 
[[Category:Types of functions]]
[[Category:Calculus]]
 
{{mathanalysis-stub}}

Revision as of 12:19, 7 April 2013

In mathematical analysis, a Hermitian function is a complex function with the property that its complex conjugate is equal to the original function with the variable changed in sign:

f(x)=f(x)

for all x in the domain of f.

This definition extends also to functions of two or more variables, e.g., in the case that f is a function of two variables it is Hermitian if

f(x1,x2)=f(x1,x2)

for all pairs (x1,x2) in the domain of f.

From this definition it follows immediately that, if f is a Hermitian function, then

Motivation

Hermitian functions appear frequently in mathematics, physics, and signal processing. For example, the following two statements follow from basic properties of the Fourier transform:

Since the Fourier transform of a real signal is guaranteed to be Hermitian, it can be compressed using the Hermitian even/odd symmetry. This, for example, allows the discrete Fourier transform of a signal (which is in general complex) to be stored in the same space as the original real signal.

Where the is cross-correlation, and * is convolution.

  • If both f and g are Hermitian, then fg=gf, which in general is not true.


See also

Template:Mathanalysis-stub