The Dirac Delta Function Rigorously Defined through Distributions
📂Distribution TheoryThe Dirac Delta Function Rigorously Defined through Distributions
Definition
Let’s define the functional of the space of test functions D(Rn) as follows and call it the Dirac delta function.
δa(ϕ):=ϕ(a)
Then, the Dirac delta function becomes a distribution. It is briefly represented as follows if a=0.
δ=δ0
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(x−a)ϕ(x)dx=ϕ(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,β∈C and ϕ,ψ∈D,
δa(αϕ+βψ)=(αϕ+βψ)(a)=αψ(a)+βψ(a)=αδa+βδ(a)
hence, the delta distribution is linear.
Part 2. Continuity
Assume that ϕj→ϕ in D. Then, the following holds.
∣δa(ϕj)−δa(ϕ)∣=∣ϕj(a)−ϕ(a)∣
If ϕj→ϕ in D, then j→∞lim∣ϕj(a)−ϕ(a)∣=0, hence δa(ϕj)→δa(ϕ).
Because δa is linear and continuous, it is a distribution.
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