Spectral Theories, IV, p. 340
Let n∈N. Let N denote the euclidean norm on Rn and μ the Lebesgue measure on every open subset of Rn. Let Δ be the differential operator
Δ=−i=1∑n∂i2
viewed as an endomorphism of D′(Rn).
For k∈R, let Sk(Rn) denote the space of tempered distributions f in S′(Rn) such that (1+Nk)F(f) belong to L2(Rn).
Let U⊂Rn be an open subset of Rn. Let SUk(Rn) denote the space of distributions f∈D′(Rn) such that for every test function φ∈D(Rn) with support contained in U, one has φf∈Sk(Rn).
a) The space Sk(Rn) is a Hilbert space with scalar product
⟨f1∣f2⟩=∫Rn(1+Nk)F(f1)F(f2)dμ
When k∈N, one has Wk(Rn)=Sk(Rn) and the norms of these two Banach spaces are equivalent; moreover, one then has Wk(Rn)⊂SUk(Rn).
b) The dual of Sk(Rn) is identified with S−k(Rn) by the bilinear form
(f,g)↦∫RnF(f)(−x)F(g)(x)dμ(x)
for (f,g)∈S−k(Rn)×Sk(Rn).
c) Suppose that U is relatively compact. One has
k∈R⋃SUk(Rn)=D′(Rn)
(Let f∈D′(Rn); apply the results of exercise 19 to φf, where φ∈D(Rn) is equal to 1 on U.)
d) Let k∈R and f∈Sk(Rn). For every integer i such that 1⩽i⩽n, one has ∂if∈Sk−1(Rn). Moreover, if Δ(f)∈Sk(Rn), then f∈Sk+2(Rn).
e) Let k∈R and f∈SUk(Rn). If Δ(f)∈SUk(Rn), then f∈SUk+2(Rn).
f) Let k>n/2 be a real number and m∈N an integer such that m<k−n/2. The space Sk(Rn) is contained in Cm(Rn). (Using the CauchySchwarz inequality, verify that x↦xαFf(x) belongs to L1(Rn) for every α∈Nn such that ∣α∣⩽m. Now prove that F(f) is differentiable on R by using the fourier inversion formula.)
g) Let k>n/2 be a real number and m∈N an integer such that m<k−n/2. The restriction to U of an element of SUk(Rn) belongs to Cm(U). (For each x∈U, verify that one obtains a well-defined function g∈Cm(U) by setting g(x)=(φxf)(x), where φx∈D(Rn) is a function with support in U equal to 1 in a neighbourhood of x; verify finally that the restriction of f to U is equal to g.)
h) Let g∈D′(Rn). If f∈D′(Rn) satisfies Δ(f)=g and if the restriction of g to U is in C∞(U), then the restriction of f to U is in C∞(U) ("elliptic regularity theorem").
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