Let be the space of tempered distributions. For , the Sobolev space iswith normChanging the normalization of the Fourier transform changes this norm only by a fixed constant.
Let be a multi-index with . The Cauchy-Schwarz inequality givesThe second integral is finite precisely under the sufficient inequality , which follows from . Hence is Lebesgue integrable for every .
The Fourier inversion theorem therefore defines a functionwhose derivatives through order may be obtained by differentiating under the integral sign. Those derivatives are continuous, so . The inverse transform represents the same tempered distribution as ; consequently almost everywhere. This is the Sobolev embedding theorem in this range.
Taking the Fourier transform of the equation in the sense of distributions givesThe Fourier multiplieris everywhere positive. Define . Sincewe haveThus exists and obeys the required estimate. If two solutions existed, their difference would have ; positivity of proves uniqueness.
A classical solution needs continuous derivatives through order four. Applying the Sobolev embedding theorem with to shows that this is guaranteed whenor equivalently
Articles by others on the same topic
There are currently no matching articles.