Distribution (Schwartz)

Definition (3.3.2)

A distribution is a linear, continuous functional on the space of test functions (aka Schwartz functions) S\mathcal{S}.

Remark

Thus, a distribution is an element of the dual space of S\mathcal{S} (that is S\mathcal{S}^{*}).

Definition (Regular distribution)

A regular distribution, γˉS\bar{\gamma}\in \mathcal{S}^{*}, is a specific form of distribution that is expressed in the following form: γˉ(ϕ):=Rγ(t)ϕ(t)dt,ϕS\bar{\gamma}(\phi):=\int\limits _{\mathbb{R}}\gamma(t)\phi(t) \, dt ,\quad\phi \in \mathcal{S}where γˉ\bar{\gamma} is a regular distribution on S\mathcal{S} represented by the function γ(t)\gamma(t).

Definition (3.3.3)

A tempered function, x(t)x(t) is one which satisfies small growth, that is, for some β,γR,NZ+\beta,\gamma \in \mathbb{R},N\in \mathbb{Z}_{+}: x(t)βtN+γ,tR|x(t)|\le \beta|t|^{N}+\gamma,\quad\forall t\in \mathbb{R}

Remark

Any tempered function can represent a regular distribution.

Definition (3.3.4)

A sequence of distributions {γˉn}nN\{ \bar{\gamma}_{n} \}_{n\in \mathbb{N}} converges to a distribution γˉ\bar{\gamma} if γˉn\bar{\gamma}_{n} converges in the weak* sense to γˉ\bar{\gamma}.

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