Trudinger's theorem
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In mathematical analysis, Trudinger's theorem or the Trudinger inequality (also sometimes called the Moser–Trudinger inequality) is a result of functional analysis on Sobolev spaces. It is named after Neil Trudinger (and Jürgen Moser).
It provides an inequality between a certain Sobolev space norm and an Orlicz space norm of a function. The inequality is a limiting case of Sobolev imbedding and can be stated as the following theorem:
Let {\displaystyle \Omega } be a bounded domain in {\displaystyle \mathbb {R} ^{n}} satisfying the cone condition. Let {\displaystyle mp=n} and {\displaystyle p>1}. Set
- {\displaystyle A(t)=\exp \left(t^{n/(n-m)}\right)-1.}
Then there exists the embedding
- {\displaystyle W^{m,p}(\Omega )\hookrightarrow L_{A}(\Omega )}
where
- {\displaystyle L_{A}(\Omega )=\left\{u\in M_{f}(\Omega ):\|u\|_{A,\Omega }=\inf\{k>0:\int _{\Omega }A\left({\frac {|u(x)|}{k}}\right)~dx\leq 1\}<\infty \right\}.}
The space
- {\displaystyle L_{A}(\Omega )}
is an example of an Orlicz space.
References
[edit ]- Moser, J. (1971), "A Sharp form of an Inequality by N. Trudinger", Indiana Univ. Math. J., 20 (11): 1077–1092, doi:10.1512/iumj.19712020101 .
- Trudinger, N. S. (1967), "On imbeddings into Orlicz spaces and some applications", J. Math. Mech., 17: 473–483.