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 Cc(Rd) consists of all infinitely differentiable functions with compact support on Rd.

To define the topology on Cc(Rd):

  1. View Cc(Rd) as the union of spaces Cc(K) where KRd is compact.

  2. We equip each Cc(K) with the smooth topology generated by the norm \(||f||_{\mathcal{C}^k\).

  3. Define seminorms as good when they are continuous on each Cc(K).

  4. Using these good seminorms we generate the topology on Cc(Rd).

This gives Cc(Rd) the structure of a locally convex topological vector space.

Convergence in the Space of Test Functions#

A sequence {fn} in Cc(Rd) converges to f if and only if:

  1. There exists a compact set K such that all fn and f are supported in K.

  2. For every multi-index α, αfn converges uniformly to αf.

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#

  1. Density: Cc(Rd) is dense in many function spaces including Lp for 1p< and C0.

  2. Partitions of Unity: For any open cover of a compact set K, there exists a partition of unity consiting of test functions.

  3. Convolution: If fCc(Rd) and g locally integrable and compactly supported, then fgCc(Rd).

  4. Approximation to Identity: There exist sequences of test functions that converge to the Dirac delta distribution.