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Operators as Fourier Transforms 📂Lebesgue Spaces

Operators as Fourier Transforms

Definition1

The Fourier Transform of the function ff

f^(γ):=Rf(x)e2πixγdx,γR \widehat{f} (\gamma ) := \int_{\mathbb{R}} f(x) e^{-2 \pi i x \gamma} dx, \quad \gamma \in \mathbb{R}

can also be represented as the following operator F\mathcal{F}.

(Ff)(γ):=f^(γ) (\mathcal{F} f) (\gamma ) := \widehat{f} ( \gamma )

Description

Fourier Transform is widely used throughout analysis and the two expressions f^\widehat{f} and Ff\mathcal{F} f essentially do not differ, but there is a slight nuance in the use of symbols. When emphasis is on practical calculation, formulas, and quick notation, f^\widehat{f} is preferred, and when the properties and order of operations as an operator are important, F\mathcal{F} is preferred.

Let us define f,gL1f,g \in L^{1}.

  1. For aRa \in \mathbb{R}

FTa=EaF \mathcal{F} T_{a} = E_{-a} \mathcal{F}

  1. For bRb \in \mathbb{R}

FEb=TbF \mathcal{F} E_{b} = T_{b} \mathcal{F}

  1. For c0c \ne 0

FDc=D1/cF \mathcal{F} D_{c} = D_{1/c} \mathcal{F}

  1. Convolution:

F(f g)=(FfFg) \mathcal{F} ( f \ast\ g) = (\mathcal{F} f \cdot \mathcal{F} g)

1~3: Ta,Eb,DcT_{a}, E_{b}, D_{c} refers to Translation, Modulation, Dilation.

4: \ast is Convolution convolution, and \cdot simply means the product of functions. In other words, for γR\gamma \in \mathbb{R}

f g^(γ)=f^(γ)g^(γ) \widehat{f \ast\ g} (\gamma) = \widehat{f} (\gamma) \widehat{g} (\gamma)

Let f,gL2f , g \in L^{2}.

  1. Norm: Ff2=f2 \left\| \mathcal{F} f \right\|_{2} = \left\| f \right\|_{2}

  2. Inner Product:

Ff,Fg=f,g \langle \mathcal{F} f , \mathcal{F} g \rangle = \langle f , g \rangle

The above properties are well-known ones in Fourier analysis, represented again in the language of operator theory.

Proof

Refer to here for the proofs of 1~4.

See Also


  1. Ole Christensen, Functions, Spaces, and Expansions: Mathematical Tools in Physics and Engineering (2010), p126-127 ↩︎