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S Sep 27, 2022 at 13:20 history suggested Hannes CC BY-SA 4.0
Fixed several typos (there were $v$s in the definition of the norms of $u$) and some layout
Sep 27, 2022 at 12:43 comment added Hannes @username That's what I meant, agreed.
Sep 27, 2022 at 12:42 review Suggested edits
S Sep 27, 2022 at 13:20
Sep 26, 2022 at 17:12 comment added username @Hannes Let us call $N(u) = \sqrt{ \| \nabla u \|^2_{L^2(\Omega)} + \| u \|^2_{L^2(\partial\Omega)} }$ and $\| u \| = \sqrt{ \nabla u \|^2_{L^2(\Omega)} + \| u \|^2_{L^2(Omega) }}$. To show $N(u)\leq C \| u \|$ yo{u need at least a continuous embedding of $H^1(\Omega)$ in $L^2(\partial \Omega)$. It happens to be compact. In the other direction, yes, you use Rellich-Kondrachov (for $\| u \|_{L^2(\Omega)}=1$).
Sep 26, 2022 at 14:42 comment added monotone operator @Glorfindel Thank you for your correction!!!
Sep 26, 2022 at 13:18 comment added Hannes @username you only need that $H^1(\Omega) \hookrightarrow L^2(\Omega)$ is compact, or am I mistaken? //// For the second question of OP, this is the Kato square root property which is always true for operators induced by symmetric forms as in the present case, see Kato's "Perturbation Theory", Chapter 6, §2.6.
Sep 26, 2022 at 7:28 comment added username Whether the norms are equivalent doesn't depend on Robin bdy conditions. It is clear that they are, you just need to know that the embedding $H^1(\Omega) \rightharpoonup L^2(\partial\Omega)$ is compact. One direction is immediate : bounding bdy $L^2$ with $H^1$. In the other direction, supppose bdy $L^2$ +grad goes to zero while $H^1=1$. Take a weakly convergent subsequence. then the $L^2$ bdy norm converges strongly to zero, so the limit is constant (zero gradient in a connected domain) and with zero trace, so it is null, and $L^2$ norm $=1$, a contradiction. The usual proof..
Sep 26, 2022 at 7:10 history edited Glorfindel CC BY-SA 4.0
added 67 characters in body
S Sep 26, 2022 at 4:08 review First questions
Sep 26, 2022 at 7:10
S Sep 26, 2022 at 4:08 history asked monotone operator CC BY-SA 4.0