Let us assume that a sequence in the Schwartz space is denoted by {ϕn}. If for all multi-indexesα, β, the sequence {xβDαϕn(x)} converges uniformly to 0, then we define that {ϕn} converges to 0 and denote it as follows.
ϕn→S0
Explanation
By generalizing the above definition, if {ϕn−ϕ} converges to 0, we can say that {ϕn} converges to ϕ.
∀α,β,(xβDαϕn−ϕ)→S0⟹ϕn→Sϕ
The Schwartz space S is an extension of the space of test functionsD, designed to properly define the Fourier transform of distributions. Therefore, convergence in D must guarantee convergence in S for the concept to be well-defined.
Theorem
Let us consider a sequence {ϕn} that converges in D. Then, it converges in S.
ϕn→D0⟹ϕn→S0
Proof
Assume a sequence {ϕn} converges to 0 in D. According to the definition, for every ϕn, there exists a compact set K that satisfies the following.
suppϕn⊂K
Then, for some positive number r>0, K⊂B(r) holds true. Here, B(r) is a closed ball centered at the origin with radius r. Therefore, the following equation is valid.
xβDαϕn(x)≤r∣β∣∣x∣≤rsup∣Dαϕn(x)∣,∀x∈Rn
Given the assumption, for all α, {Dαϕn} converges uniformly to 0. Hence, by the above inequality, {xβDαϕn(x)} also converges uniformly to 0.