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The Dirac Delta Function Rigorously Defined through Distributions 📂Distribution Theory

The Dirac Delta Function Rigorously Defined through Distributions

Definition1

Let’s define the functional of the space of test functions D(Rn)\mathcal{D}(\mathbb{R}^{n}) as follows and call it the Dirac delta function.

δa(ϕ):=ϕ(a) \delta_{a}(\phi):=\phi (a)

Then, the Dirac delta function becomes a distribution. It is briefly represented as follows if a=0a=0.

δ=δ0 \delta=\delta_{0}

Explanation

The Dirac delta function, which was not strictly defined due to having divergent values and was roughly termed as a function, is rigorously defined by the above definition.

δa(ϕ)=δ(xa)ϕ(x)dx=ϕ(a) \delta_{a} (\phi) = \int \delta (x-a)\phi (x)dx=\phi (a)

However, since it cannot be defined as a locally integrable function, it is not a regular distribution. To avoid confusion with the conventional Dirac delta function, the delta function as a distribution will be referred to as the delta distribution.

Proof

  • Part 1. Linearity

    For α,βC\alpha, \beta \in \mathbb{C} and ϕ,ψD\phi, \psi \in \mathcal{D},

    δa(αϕ+βψ)=(αϕ+βψ)(a)=αψ(a)+βψ(a)=αδa+βδ(a) \begin{align*} \delta_{a}(\alpha \phi + \beta \psi) &= (\alpha \phi+\beta\psi)(a) \\ &=\alpha \psi (a) +\beta \psi (a) \\ &= \alpha\delta_{a}+\beta \delta (a) \end{align*} hence, the delta distribution is linear.

  • Part 2. Continuity

    Assume that ϕjϕ in D\phi_{j} \to \phi \text{ in } \mathcal{D}. Then, the following holds.

    δa(ϕj)δa(ϕ)=ϕj(a)ϕ(a) \begin{align*} \left| \delta_{a}(\phi _{j}) -\delta_{a}(\phi) \right| &= \left| \phi_{j}(a)-\phi (a)\right| \end{align*}

    If ϕjϕ in D\phi_{j} \to \phi \text{ in } \mathcal{D}, then limjϕj(a)ϕ(a)=0\lim \limits_{j \to \infty}\left| \phi_{j}(a)-\phi (a) \right|=0, hence δa(ϕj)δa(ϕ)\delta_{a}(\phi_{j}) \to \delta_{a}(\phi).

Because δa\delta_{a} is linear and continuous, it is a distribution.


  1. Gerald B. Folland, Fourier Analysis and Its Applications (1992), p307 ↩︎