Extensions of Schoen--Simon--Yau and Schoen--Simon theorems via iteration \`{a} la De Giorgi
We give an alternative proof of the Schoen--Simon--Yau curvature estimates and associated Bernstein-type theorems (1975), and extend the original result by including the case of $6$-dimensional (stable minimal) immersions. The key step is an $\epsilon$-regularity theorem, that assumes smallness of t...
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Zusammenfassung: | We give an alternative proof of the Schoen--Simon--Yau curvature estimates
and associated Bernstein-type theorems (1975), and extend the original result
by including the case of $6$-dimensional (stable minimal) immersions. The key
step is an $\epsilon$-regularity theorem, that assumes smallness of the
scale-invariant $L^2$ norm of the second fundamental form.
Further, we obtain a graph description, in the Lipschitz multi-valued sense,
for any stable minimal immersion of dimension $n\geq 2$, that may have a
singular set $\Sigma$ of locally finite $\mathcal{H}^{n-2}$-measure, and that
is weakly close to a hyperplane. (In fact, if $\mathcal{H}^{n-2}(\Sigma)=0$,
the conclusion is strengthened to a union of smooth graphs.) This follows
directly from an $\epsilon$-regularity theorem, that assumes smallness of the
scale-invariant $L^2$ tilt-excess (verified when the hypersurface is weakly
close to a hyperplane). A further direct consequence is that (for an immersed
hypersurface of the type considered) any tangent cone supported on a hyperplane
is the unique tangent. Specialising the multi-valued decomposition to the case
of embeddings, we recover the Schoen--Simon theorem (1981).
In both $\epsilon$-regularity theorems the relevant quantity (respectively,
length of the second fundamental form and tilt function) solves a non-linear
PDE on the immersed minimal hypersurface. The proof is carried out
intrinsically (without linearising the PDE) by implementing an iteration method
\`{a} la De Giorgi (from the linear De Giorgi--Nash--Moser theory). Stability
implies estimates (intrinsic weak Caccioppoli inequalities) that make the
iteration effective despite the non-linear framework. (In both
$\epsilon$-regularity theorems the method gives explicit constants that
quantify the required smallness.) |
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DOI: | 10.48550/arxiv.2310.01340 |