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Hermitian function

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Type of complex function
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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 ) {\displaystyle f^{*}(x)=f(-x)}

(where the * {\displaystyle ^{*}} indicates the complex conjugate) for all x {\displaystyle x} in the domain of f {\displaystyle f} . In physics, this property is referred to as PT symmetry.

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

f * ( x 1 , x 2 ) = f ( - x 1 , - x 2 ) {\displaystyle f^{*}(x_{1},x_{2})=f(-x_{1},-x_{2})}

for all pairs ( x 1 , x 2 ) {\displaystyle (x_{1},x_{2})} in the domain of f {\displaystyle f} .

From this definition it follows immediately that: f {\displaystyle f} is a Hermitian function if and only if

Motivation

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

  • The function f {\displaystyle f} is real-valued if and only if the Fourier transform of f {\displaystyle f} is Hermitian.
  • The function f {\displaystyle f} is Hermitian if and only if the Fourier transform of f {\displaystyle f} 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. Informally, only half of the fourier transform of a real signal is needed to lossessly represent it in frequency domain.

For the magnitude spectra (obtained from DFT), the axis of symmetry is around the Nyquist point; one half is the mirror image of the other.

  • If f is Hermitian, then f g = f * g {\displaystyle f\star g=f*g} .

Where the {\displaystyle \star } is cross-correlation, and * {\displaystyle *} is convolution.

  • If both f and g are Hermitian, then f g = g f {\displaystyle f\star g=g\star f} .

See also

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