The Space of Test Functions#
We begin by constructing a suitable space of ``test functions’’ against which distributions will be evaluated.
Definition and Topology#
The space
To define the topology on
View
as the union of spaces where is compact.We equip each
with the smooth topology generated by the norm \(||f||_{\mathcal{C}^k\).Define seminorms as good when they are continuous on each
.Using these good seminorms we generate the topology on
.
This gives
Convergence in the Space of Test Functions#
A sequence
There exists a compact set
such that all and are supported in .For every multi-index
, converges uniformly to .
This is a very strong notion of convergence, requiring uniform convergence of all derivatives and eventual containment of supports in a fixed compact set.
Properties of test functions#
Density:
is dense in many function spaces including for and .Partitions of Unity: For any open cover of a compact set
, there exists a partition of unity consiting of test functions.Convolution: If
and locally integrable and compactly supported, then .Approximation to Identity: There exist sequences of test functions that converge to the Dirac delta distribution.