[Math] Topology of test functions $\mathcal{D}(\mathbb R)$

analysisdistribution-theoryfunctional-analysisproof-verification

(My motivation for the following question is to understand the distribution theory)

The space of test functions:

$\mathcal{D}(\mathbb R)= \{\phi:\mathbb R \to \mathbb R : \phi \in C^{\infty}(\mathbb R), \ \text{and support of }\ \phi \ \text{is compact} \}.$
Let us introduce the norms,
$$\|\phi\|_{N}=\text{max} \{|D^{\alpha}\phi(x)|: x\in \mathbb R, |\alpha| \leq N \}$$
for $\phi \in \mathcal{D}(\mathbb R)$ and $N=0,1,2,…$.

My Question: (1) How to use these norms to define locally convex metrizable topology on $\mathcal{D}(\mathbb R)$ ? (2) This topology is not complete; but I don't understand the reason; Pick $\phi \in \mathcal{D}(\mathbb R)$ with support in $[0,1], \phi>0$ in $(0,1),$ and
define,
$$\psi_{m}(x)=\phi(x-1)+\frac{1}{2}\phi(x-2) +…+\frac{1}{m}\phi(x-m);$$
so, my sub-question is:
(a) How to verify $\{\psi_{m}\}$ is a Cauchy sequence in $\mathcal{D}(\mathbb R)$ ? (b) How to verify $\lim \psi_{m}$ does not have a compact support ?

I want to add one more question to it i.e. If $\Omega\subset_{open} \mathbb R^n$ and the norms are defined by
$$\|\phi\|_{N}=\text{max} \{|D^{\alpha}\phi(x)|: x\in \mathbb \Omega, |\alpha| \leq N \}$$ for $\phi\in\text D(\Omega) \ \text{instead of}\ \text D(\mathbb R)$ then how to show that the metrizable topology on $\text D(\Omega)$ is not complete.

Thanks.

Best Answer

The standard (or not so standard, as analysis books tend to give messy constructions instead) conceptual way to define the topology is very well explained in Bourbaki's topological vectors spaces.

In general: Let $(E_i,f_{ij})$ be an inductive system of vector spaces (over $\mathbf{C}$, say) such that every $E_i$ is endowed with an LC topology making the maps $f_{ij}:E_i\rightarrow E_j$ continuous. If $E:=\varinjlim E_i$ denotes its inductive limit in $\mathbf{C}-\mathbf{Vect}$, then $E$ is said to be the locally convex inductive limit of $(E_i,f_{ij})$ (inductive limit in $\mathbf{LCS}$) if it is given the final locally convex topology with respect to the family of canonical maps $f_i:E_i\rightarrow E$.

The following is a special case: Consider a countable increasing family $E_1\subset E_2\subset\cdots$ of vector subspaces of a vector space $E$ such that $E=\bigcup_{i\in\mathbf{N}} E_i$ and every $E_i$ be endowed with a locally convex topology such that for every $i\in\mathbf{N}$ the subspace topology induced by $E_{i+1}$ on $E_i$ coincides with the topology of $E_i$. Then $(E_i,f_{ij})$ is an inductive system with respect to the inclusion maps $f_{ij}:E_i\hookrightarrow E_j$ ($i\leqslant j$), and $E$ is its strict locally convex inductive limit. If every $E_i$ is a Fréchet space, then $E$ is said to be an LF space.

In particular, let $\Omega$ be an open subset of $\mathbf{R}^n$; if $K$ is a compact subset of $\Omega$, let $\mathcal{D}_K(\Omega)$ be the subset of $C^\infty_0(\Omega)$ of maps with support contained in $K$. $\mathcal{D}_K(\Omega)$ is a Fréchet space with the topology given by uniform convergence of all derivatives; a generating family of seminorms is given by $\rho_k(\phi):=\sup_{x\in\Omega, |\alpha|\leqslant k}|(\partial^\alpha\phi)(x)|$. Let $K_1\subset K_2\subset\cdots$ be an exhaustion of $\Omega$ by compact subsets. Then $C^\infty_0(\Omega)=\bigcup_{i\in\mathbf{N}}\mathcal{D}_{K_{i}}(\Omega)$ and let $\mathcal{D}(\Omega):=\varinjlim\mathcal{D}_{K_{i}}(\Omega)$ be its strict locally convex inductive limit.

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