Gagliardo-Nirenberg-Sobolev on a bounded domain #
EllipticPdes.Embedding.exists_eLpNorm_sobolevConj_le raises the exponent from p to the
Sobolev conjugate on a ball inside a ball, the inner ball being where the cutoff feeding the
whole-space inequality is one. On a bounded domain with C¹ boundary no ball shrinks:
EllipticPdes.Extension.exists_extension_bound puts the class on the whole space with a bound
by its seminorms over the domain, the whole-space inequality applies there, and the conclusion
restricts back to the domain.
This is the single rung the proof of the Sobolev embedding at order k iterates.
Main declarations #
EllipticPdes.Embedding.isFiniteMeasure_restrict_of_isBounded: a bounded domain has finite measure.EllipticPdes.Embedding.exists_eLpNorm_sobolevConj_le_domain: the rung on the domain, with a constant taken before the class.EllipticPdes.Embedding.exists_eLpNorm_sobolevConj_le_domain_of_le: the same rung fed by data at a higher exponent.
References #
James Guo, Partial Differential Equations (Course Lecture Notes), Theorem III.4.3 and Theorem IV.2.3; L. C. Evans, Partial Differential Equations (2nd ed.), §5.6.1 Theorem 2.
Finite measure of a bounded domain. Lowering an exponent on it uses this.
Gagliardo-Nirenberg-Sobolev on a bounded domain with C¹ boundary. A class on Ω
with an Lᵖ weak gradient lies in L^{p'}(Ω) at the Sobolev conjugate
1/p' = 1/p - 1/d, with one constant, depending on the domain, the dimension and the exponents
alone, bounding it by the class and its gradient over the domain.
Rung fed by a higher exponent. A bounded domain has finite measure, so Lq data
with p ≤ q is Lᵖ data, at the price of a factor |Ω|^{1/p - 1/q} the constant absorbs. This
is the form the ladder consumes at every rung above the first.