Abstract
We prove a scalar curvature rigidity theorem for convex polytopes. The proof uses the Fredholm theory for Dirac operators on manifolds with boundary. A variant of a theorem of Fefferman and Phong plays a central role in our analysis.
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Acknowledgements
The author is grateful to Yipeng Wang and to the referee for helpful comments on an earlier version of this paper. The author was supported by the National Science Foundation under grant DMS-2103573 and by the Simons Foundation. He acknowledges the hospitality of Tübingen University, where part of this work was carried out.
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Appendix: A variant of a theorem of Fefferman and Phong
Appendix: A variant of a theorem of Fefferman and Phong
In this section, we describe a variant of an estimate due to Fefferman and Phong [5], which plays a central role in our argument. Throughout this section, we fix an integer \(n \geq 3\). We denote by \(\mathcal{Q}\) the collection of all \((n-1)\)-dimensional cubes of the form
where \(m \in \mathbb{Z}\) and \(j_{1},\ldots ,j_{n-1} \in \mathbb{Z}\). For abbreviation, we put
If \(Q_{1},Q_{2} \in \mathcal{Q}\) satisfy \(Q_{1} \cap Q_{2} \setminus \Gamma \neq \emptyset \), then \(Q_{1} \subset Q_{2}\) or \(Q_{2} \subset Q_{1}\).
For each \((n-1)\)-dimensional cube \(Q \in \mathcal{Q}\), we denote by \(|Q|\) the \((n-1)\)-dimensional volume of \(Q\).
Theorem A.1
Let us fix an integer \(n \geq 3\) and a real number \(\sigma \in (1,n-1)\). Suppose that \(V\) is a nonnegative continuous function defined on the hyperplane \(\mathbb{R}^{n-1} \times \{0\}\) with the property that
for each \((n-1)\)-dimensional cube \(Q \in \mathcal{Q}\). Let \(F\) be a smooth function defined on the half-space \(\mathbb{R}_{+}^{n} = \{x \in \mathbb{R}^{n}: x_{n} \geq 0\}\), and let \(f\) denote the restriction of \(F\) to the boundary \(\partial \mathbb{R}_{+}^{n} = \mathbb{R}^{n-1} \times \{0\}\). Then
for each \((n-1)\)-dimensional cube \(Q \in \mathcal{Q}\). The constant \(C\) depends only on \(n\) and \(\sigma \).
The proof of Theorem A.1 is a straightforward adaptation of the arguments of Fefferman and Phong [5]. Let us fix an exponent \(\tau \in (1,\sigma )\). Let \(V: \mathbb{R}^{n-1} \times \{0\} \to \mathbb{R}\) be a nonnegative continuous function satisfying (14). We define a measurable function \(W: \mathbb{R}^{n-1} \times \{0\} \to \mathbb{R}\) by
for each point \(x \in \mathbb{R}^{n-1} \times \{0\}\). It follows from (14) that \(W\) is locally bounded. Moreover, \(V \leq W\) at each point in \(\mathbb{R}^{n-1} \times \{0\}\).
Let \(F\) be a smooth function defined on the half-space \(\mathbb{R}_{+}^{n} = \{x \in \mathbb{R}^{n}: x_{n} \geq 0\}\), and let \(f\) denote the restriction of \(F\) to the boundary \(\partial \mathbb{R}_{+}^{n} = \mathbb{R}^{n-1} \times \{0\}\). For each \((n-1)\)-dimensional cube \(Q \in \mathcal{Q}\), we denote by \(f_{Q} = |Q|^{-1} \int _{Q} f\) the mean value of \(f\) over the cube \(Q\).
Lemma A.2
For each \((n-1)\)-dimensional cube \(Q_{0} \in \mathcal{Q}\), we have
where \(C\) depends only on \(n\), \(\sigma \), and \(\tau \).
Proof
For abbreviation, let
It follows from (14) that \(\Lambda <\infty \). We define a bounded measurable function \(W_{0}: Q_{0} \to \mathbb{R}\) by
for each point \(x \in Q_{0}\). Then
for each point \(x \in Q_{0} \setminus \Gamma \). The function \(W_{0}^{\sigma}\) is bounded from above by the maximal function associated with the function \(V^{\sigma }\, 1_{Q_{0}}\). Hence, the weak version of the Hardy-Littlewood maximal inequality (cf. [19], Proposition 2.9 (i)) implies
for all \(\alpha >0\). We multiply both sides of (15) by \(\frac{\tau}{\sigma} \, \alpha ^{\frac{\tau}{\sigma}-1}\) and integrate over \(\alpha \in (\Lambda ^{\sigma},\infty )\). Using Fubini’s theorem, we obtain
Putting these facts together, we conclude that
This completes the proof of Lemma A.2. □
Lemma A.3
Given a real number \(\varepsilon >0\), we can find a real number \(\delta >0\) (depending only on \(n\), \(\sigma \), and \(\varepsilon \)) with the property that
for every \((n-1)\)-dimensional cube \(Q_{0} \in \mathcal{Q}\) and every measurable set \(A \subset Q_{0}\) satisfying \(|A| \leq \delta \, |Q_{0}|\).
Proof
Using Lemma A.2, we obtain
Moreover,
by definition of \(W\). Putting these facts together, we obtain
Hence, if \(A \subset Q_{0}\) is a measurable set with \(|A| \leq \delta \, |Q_{0}|\), then Hölder’s inequality gives
Hence, if we choose \(\delta \) to be a small multiple of \(\varepsilon ^{\frac{\tau}{\tau -1}}\), then \(\delta \) has the required property. This completes the proof of Lemma A.3. □
Lemma A.4
For each \((n-1)\)-dimensional cube \(Q_{0} \in \mathcal{Q}\), we have
where \(C\) depends only on \(n\) and \(\sigma \).
Proof
Using Lemma A.2 and Hölder’s inequality, we obtain
Hence, the assertion follows from (14). □
Lemma A.5
Let us fix an \((n-1)\)-dimensional cube \(Q_{0} \in \mathcal{Q}\). We define a bounded measurable function \(g: Q_{0} \to \mathbb{R}\) by
for each point \(x \in Q_{0}\). Then
where \(C\) depends only on \(n\) and \(\sigma \).
Proof
We define a bounded measurable function \(h: Q_{0} \to \mathbb{R}\) by
for each point \(x \in Q_{0}\). Note that \(V \leq W\) and \(|f-f_{Q_{0}}| \leq h\) at each point in \(Q_{0}\). Hence, it suffices to prove that
In order to prove the inequality (16), we define \(\alpha _{0} = |Q_{0}|^{-1} \int _{Q_{0}} |f-f_{Q_{0}}|\). For each \(\alpha > \alpha _{0}\), we denote by \(\mathcal{Q}_{\alpha}\) the set of all \((n-1)\)-dimensional cubes \(Q \in \mathcal{Q}\) with the following properties:
-
\(Q \subset Q_{0}\).
-
\(|Q|^{-1} \int _{Q} |f-f_{Q_{0}}| > \alpha \).
-
If \(\tilde{Q} \in \mathcal{Q}\) is an \((n-1)\)-dimensional cube with \(Q \subsetneq \tilde{Q}\) and \(\tilde{Q} \subset Q_{0}\), then \(|\tilde{Q}|^{-1} \int _{\tilde{Q}} |f-f_{Q_{0}}| \leq \alpha \).
It follows from the definition of \(\alpha _{0}\) that \(Q_{0} \notin \mathcal{Q}_{\alpha}\) for each \(\alpha >\alpha _{0}\). It is easy to see that
for each \(\alpha >\alpha _{0}\) and each \(Q \in \mathcal{Q}_{\alpha}\). Moreover,
for each \(\alpha >\alpha _{0}\). Finally, given a real number \(\alpha >\alpha _{0}\) and a point \(x \notin \Gamma \), there is at most one cube \(Q \in \mathcal{Q}_{\alpha}\) that contains the point \(x\).
We next apply Lemma A.3 with \(\varepsilon = 2^{-2n-1}\). Hence, we can find a real number \(\delta \in (0,1)\) such that
for every \((n-1)\)-dimensional cube \(Q \in \mathcal{Q}\) and every measurable set \(A \subset Q\) satisfying \(|A| \leq 2^{1-n} \, \delta \, |Q|\).
Let us consider a real number \(\alpha >\alpha _{0}\) and an \((n-1)\)-dimensional cube \(Q \in \mathcal{Q}_{\alpha}\). The upper bound in (17) implies \(|f_{Q}-f_{Q_{0}}| \leq 2^{n-1} \alpha \). Using the lower bound in (17), we obtain
for all \((n-1)\)-dimensional cubes \(\tilde{Q} \in \mathcal{Q}_{2^{n} \alpha}\). In the next step, we take the sum over all \((n-1)\)-dimensional cubes \(\tilde{Q} \in \mathcal{Q}_{2^{n} \alpha}\) with \(\tilde{Q} \subset Q\). This gives
For each \((n-1)\)-dimensional cube \(Q \in \mathcal{Q}_{\alpha}\), we have the inclusion
Combining (20) and (21), we conclude that
for every \((n-1)\)-dimensional cube \(Q \in \mathcal{Q}_{\alpha}\). In particular,
for every \((n-1)\)-dimensional cube \(Q \in \mathcal{Q}_{\alpha}\) satisfying \(|Q|^{-1} \int _{Q} |f-f_{Q}| \leq \delta \alpha \). Applying (19) with \(A = Q \cap \{h > 2^{n} \alpha \}\) gives
for every \((n-1)\)-dimensional cube \(Q \in \mathcal{Q}_{\alpha}\) satisfying \(|Q|^{-1} \int _{Q} |f-f_{Q}| \leq \delta \alpha \). On the other hand, if \(Q \in \mathcal{Q}_{\alpha}\) is an \((n-1)\)-dimensional cube satisfying \(|Q|^{-1} \int _{Q} |f-f_{Q}| > \delta \alpha \), then \(g > \delta \alpha \) at each point in \(Q\). Therefore,
for every \((n-1)\)-dimensional cube \(Q \in \mathcal{Q}_{\alpha}\) satisfying \(|Q|^{-1} \int _{Q} |f-f_{Q}| > \delta \alpha \). Combining (23) and (24), we conclude that
for every \((n-1)\)-dimensional cube \(Q \in \mathcal{Q}_{\alpha}\). Summation over all \((n-1)\)-dimensional cubes \(Q \in \mathcal{Q}_{\alpha}\) gives
for each \(\alpha >\alpha _{0}\).
We now multiply both sides of (26) by \(2\alpha \) and integrate over \(\alpha \in (2\alpha _{0},\infty )\). Using Fubini’s theorem, we obtain
Rearranging terms gives
On the other hand, \(g \geq |Q_{0}|^{-1} \int _{Q_{0}} |f-f_{Q_{0}}| = \alpha _{0}\) at each point in \(Q_{0}\). Consequently,
The inequality (16) follows immediately from (28). This completes the proof of Lemma A.5. □
Lemma A.6
Let us fix an \((n-1)\)-dimensional cube \(Q_{0} \in \mathcal{Q}\). We define a bounded measurable function \(g: Q_{0} \to \mathbb{R}\) by
for each point \(x \in Q_{0}\). Then
where \(C\) depends only on \(n\) and \(\sigma \).
Proof
Let \(\alpha _{0} = |Q_{0}|^{-1} \int _{Q_{0}} |f-f_{Q_{0}}|\). For each \(\alpha > \alpha _{0}\), we denote by \(\mathcal{Q}_{\alpha}\) the set of all \((n-1)\)-dimensional cubes \(Q \in \mathcal{Q}\) with the following properties:
-
\(Q \subset Q_{0}\).
-
\(|Q|^{-1} \int _{Q} |f-f_{Q}| > \alpha \).
-
If \(\tilde{Q} \in \mathcal{Q}\) is an \((n-1)\)-dimensional cube with \(Q \subsetneq \tilde{Q}\) and \(\tilde{Q} \subset Q_{0}\), then \(|\tilde{Q}|^{-1} \int _{\tilde{Q}} |f-f_{\tilde{Q}}| \leq \alpha \).
It follows from the definition of \(\alpha _{0}\) that \(Q_{0} \notin \mathcal{Q}_{\alpha}\) for each \(\alpha >\alpha _{0}\). It is easy to see that
for each \(\alpha >\alpha _{0}\) and each \(Q \in \mathcal{Q}_{\alpha}\). Moreover,
for each \(\alpha >\alpha _{0}\). Finally, given a real number \(\alpha >\alpha _{0}\) and a point \(x \notin \Gamma \), there is at most one cube \(Q \in \mathcal{Q}_{\alpha}\) that contains the point \(x\).
Let us consider a real number \(\alpha >\alpha _{0}\) and an \((n-1)\)-dimensional cube \(Q \in \mathcal{Q}_{\alpha}\). Using the lower bound in (29), we obtain
for all \((n-1)\)-dimensional cubes \(\tilde{Q} \in \mathcal{Q}_{2^{n+2} \alpha}\). In the next step, we take the sum over all \((n-1)\)-dimensional cubes \(\tilde{Q} \in \mathcal{Q}_{2^{n+2} \alpha}\) with \(\tilde{Q} \subset Q\). Using the upper bound in (29), we obtain
for every \((n-1)\)-dimensional cube \(Q \in \mathcal{Q}_{\alpha}\). For each \((n-1)\)-dimensional cube \(Q \in \mathcal{Q}_{\alpha}\), we have the inclusion
Combining (31) and (32), we conclude that
hence
for every \((n-1)\)-dimensional cube \(Q \in \mathcal{Q}_{\alpha}\).
We define a nonnegative function \(\varphi : \mathbb{R}^{n-1} \times \{0\} \to \mathbb{R}\) by
Moreover, we define a nonnegative function \(\psi : Q_{0} \to \mathbb{R}\) by
for each point \(x \in Q_{0}\). Using the Sobolev trace theorem, we obtain
for every \((n-1)\)-dimensional cube \(Q \in \mathcal{Q}_{\alpha}\). Using (36) and the Poincaré inequality, we conclude that
for every \((n-1)\)-dimensional cube \(Q \in \mathcal{Q}_{\alpha}\). Using Hölder’s inequality, we deduce that
for every \((n-1)\)-dimensional cube \(Q \in \mathcal{Q}_{\alpha}\). Combining (33) and (38) gives
for every \((n-1)\)-dimensional cube \(Q \in \mathcal{Q}_{\alpha}\). Combining the estimate (39) with Lemma A.4, we obtain
for every \((n-1)\)-dimensional cube \(Q \in \mathcal{Q}_{\alpha}\). Summation over all \((n-1)\)-dimensional cubes \(Q \in \mathcal{Q}_{\alpha}\) gives
for each \(\alpha >\alpha _{0}\).
We now multiply both sides of (41) by \(2\alpha ^{-1}\) and integrate over \(\alpha \in (2\alpha _{0},\infty )\). Using Fubini’s theorem, we obtain
On the other hand, the function \(\psi \) is bounded from above by the maximal function associated with the function \(\varphi \, 1_{Q_{0}}\). Hence, the strong version of the Hardy-Littlewood maximal inequality (cf. [19], Proposition 2.9 (ii)) implies
Finally, using the Sobolev trace theorem, we obtain
Using (45) and the Poincaré inequality, we conclude that
Using Hölder’s inequality, we deduce that
Combing the estimate (47) with Lemma A.4 gives
The assertion follows by combining (44) and (48). This completes the proof of Lemma A.6. □
After these preparations, we now complete the proof of Theorem A.1. Combining Lemma A.5 and Lemma A.6, we conclude that
for every \((n-1)\)-dimensional cube \(Q_{0} \in \mathcal{Q}\). This implies
for each \((n-1)\)-dimensional cube \(Q_{0} \in \mathcal{Q}\). Moreover,
by (14). Thus, we conclude that
for each \((n-1)\)-dimensional cube \(Q_{0} \in \mathcal{Q}\). This completes the proof of Theorem A.1.
Corollary A.7
Let us fix an integer \(n \geq 3\) and a real number \(\sigma \in (1,n-1)\). Suppose that \(V\) is a nonnegative continuous function defined on the unit sphere \(S^{n-1} \subset \mathbb{R}^{n}\) with the property that
for all points \(p \in \mathbb{R}^{n}\) and all \(0 < r \leq 1\). Let \(F\) be a smooth function defined on the unit ball \(B^{n} = \{x \in \mathbb{R}^{n}: |x| \leq 1\}\), and let \(f\) denote the restriction of \(F\) to the boundary \(\partial B^{n} = S^{n-1}\). Then
The constant \(C\) depends only on \(n\) and \(\sigma \).
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Brendle, S. Scalar curvature rigidity of convex polytopes. Invent. math. 235, 669–708 (2024). https://doi.org/10.1007/s00222-023-01229-x
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DOI: https://doi.org/10.1007/s00222-023-01229-x