1 Introduction
The equator is the least-volume closed minimal hypersurface of a unit round sphere. The next volume level is a subtler question: minimality alone gives no immediate control of topology, curvature, or singular limits of a sequence of hypersurfaces. The natural comparison examples are the minimal Clifford products
The two factors have opposite principal curvatures, whose weighted sum vanishes; these products are therefore minimal. For each integer m\ge2, set
The assertion that a_m is the first volume level above the equator is the least-volume question in Yau’s collection [34, Problem 31]. The modern formulation in [11, Conjecture 1.12(ii)] calls it the Solomon–Yau conjecture. We prove this formulation with its full immersion scope.
Theorem 1.1. Let m\ge2, let M^m be a closed connected smooth manifold, and let F:M\to S^{m+1} be a smooth minimal immersion into the unit round sphere. If F(M) is not totally geodesic, then
Volume is measured on the domain, including covering multiplicities. The theorem resolves the stated least-volume conjecture positively. The threshold is attained by a Clifford product minimizing a_m.
Earlier results and the geometric obstacle
Simons’ curvature identities underpin rigidity for minimal hypersurfaces with parallel second fundamental form [26], explaining the special role of the Clifford products. Cheng, Li, and Yau obtained a dimension-dependent volume gap above the equator by heat-kernel comparison [8, Corollary 5]; identifying the sharp next level is a separate question. In dimension two, the sharp area bound a_2=2\pi^2, together with Clifford-torus rigidity, follows from the Willmore theorem of Marques and Neves [16, Theorem B and Remark 1.3]. Their canonical-family and min–max arguments connect an area comparison to the topology of a family of surfaces. The present proof follows this variational strategy, but the family and its topological test must work in arbitrary hypersurface dimension.
Higher-dimensional progress includes the rotational results of Cheng, Wei, and Zeng [7, Theorem 1.1], and Viana’s sharp Clifford bound when both connected complementary regions are antipodally invariant [30, Theorem 1.4]. Related spectral progress includes Tang and Yan’s proof that the first positive Laplacian eigenvalue of a closed minimal isoparametric hypersurface in the unit sphere equals its dimension [27, Theorem 1.1]. Bernstein and Wang obtain near-sharp density bounds for regular minimal cones of dimension at most six, under topological conditions on a complementary component [3, Theorems 1.1–1.2]. Here cone dimension is one greater than hypersurface dimension: the density of the cone over a minimal hypersurface \Sigma^m is |\Sigma|/|S^m|. These density estimates indicate why the geometry of cones is relevant to the volume question.
The nonembedded case has a useful independent reduction. A point with q preimages forces domain volume at least q|S^m|, as proved by Nguyen [19, Corollary 4.8 and Remark 4.9] and by Ge and Li [12, Theorem 1.2 and Corollary 1.3]. Since a_m<2|S^m|, any counterexample to Theorem 1.1 would be embedded. We give the short cone-monotonicity proof in Proposition 2.2, retaining tangent and coincident sheets. The more recent general embedded-hypersurface bounds of Ge and Li [13, Theorems 1.4 and 1.6] remain below the sharp Clifford threshold, which their Conjecture 1.3 still poses as the target.
After this reduction, the central difficulty is to minimize area among non-equatorial counterexamples and then decrease that minimum. Ordinary varifold compactness may produce singular limits, while a variational construction must retain enough topology to avoid collapsing to an equator. We address these two requirements together: a detecting family gives a uniform gap above the equator, and a dimension induction rules out singularities below the Clifford threshold.
Curvature, index, and the variational family
The first construction controls both signs of the principal curvatures. For a closed embedded non-equatorial minimal hypersurface \Sigma^m, with second fundamental form A, a two-point maximum compares the normal at one point with every other point of \Sigma. The reflection calculation is related to the two-point methods in [6, Section 2] and [2, Section 2]. We prove the required static differential inequality directly, including diagonal contacts and repeated principal curvatures. A smooth upper-test comparison then gives
This proves the lower-bound assertion of Perdomo’s average-curvature conjecture [11, Conjecture 1.5]. Combining it with the conformal and spectral mechanism of [22, Theorem 3.1], and keeping track of equality in each spectral inequality, shows that index m+3 forces a Clifford product (Proposition 3.5). A counterexample must therefore have a further negative direction for area.
The average-curvature inequality and this embedded index classification also appear in Nifa’s recent preprint [20, Theorem 1.1 and Corollary 7.3], which proves a stronger Schrödinger quadratic-form inequality. His construction uses the sum of two tangent-ball curvatures and a weak supersolution. Here a two-sided maximum and a smooth Poisson comparison suffice for the integrated bound. We give the curvature and index arguments in full, independently of the volume comparison that follows.
The second construction turns that direction into a strict area improvement. Form the Euclidean cone over \Sigma, take its signed distance function, and regard the graph as a hypersurface in a space with one time coordinate. Lorentz boosts preserve the difference between squared spatial length and squared time. Intersecting the transformed graph with the unit spatial sphere produces level sets whose areas are controlled on the fixed source \Sigma. At each closest-point contact, minimality makes a nonnegative Jacobian matrix have fixed trace; its determinant bounds the area of the level. This estimate works even when closest points are not unique.
The boost parameters and the level parameter give a family on \mathbb{RP}^{m+3}. Its boundary cycles have area at most |\Sigma|, and its fillings change to their complements around the projective generator. The associated degree-one cohomology class has nonzero (m+3)-rd power. This is the topological detection used in Section 4; it replaces a topology assumption on \Sigma itself. The original hypersurface is the unique area maximum, with a uniform gap away from its central parameter. Its extra index direction removes that maximum while preserving the detection and the absence of mass concentration (Proposition 5.1).
Compactness and the final induction
Detection forces every such family to contain a boundary of a half-volume region with zero centroid. Spherical isoperimetry and its hemisphere equality case give a uniform area threshold \gamma_m>|S^m| for these boundaries (Lemma 4.4). The min–max theorem therefore produces stationary integral varifolds above the equator, even after the strict deformation.
The volume proof proceeds by induction on m. Assuming only the lower-dimensional volume statements, Section 6 proves regularity for the subthreshold limits arising both from minimizing sequences and from min–max. The mechanism is radial splitting: tangents at nonzero points of a Euclidean cone split off a line, reducing their classification to a smaller cone dimension. This gives smooth connected links of multiplicity one without applying the unknown dimension-m volume theorem to those links.
Compactness therefore attains a least counterexample of area H, with \gamma_m\le H<a_m. Its index exceeds m+3, so the deformed family has maximum area strictly below H. Min–max produces a varifold of mass in [\gamma_m,H), and the same regularity argument makes it a smooth connected multiplicity-one hypersurface. Its mass is above the equator and below H: it is a smaller counterexample, the desired contradiction. The induction starts at m=2, with no lower-dimensional volume hypothesis.
Section 2 establishes the volume normalization and immersion reduction. Section 3 proves curvature and index rigidity. Section 4 establishes detection and the precise min–max interface before Section 5 constructs and deforms the Lorentz-distance family. Section 6 proves the cone induction and exact attainment, and Section 7 completes the proof.
2 Normalization and the immersion reduction
All spheres have radius one unless a radius is displayed. We write \sigma_j=\Vol_j(S^j) and \omega_j=\Vol_j(B^j_1), so \sigma_{j-1}=j\omega_j. For an embedded hypersurface \Sigma, |\Sigma| denotes its induced m-volume. The word closed means compact without boundary.
The Laplacian is \Delta=\operatorname{div}\nabla. For a two-sided minimal hypersurface in a sphere, x is the position vector, N a global unit normal, A=-dN the shape operator, and P=|A|^2. The Morse index counts the positive eigenvalues, with multiplicity, of
equivalently it is the dimension of a maximal negative subspace for the area second variation -\int_\Sigma uLu.
Lemma 2.1. The numbers \vartheta_m=a_m/\sigma_m strictly decrease for integers m\ge2. Moreover,
Consequently a_m<2\sigma_m for every m\ge2, and \vartheta_m\le3/2 for every m\ge4.
Proof. For k+l=m, the product has volume
Define, for real j>0,
The ratio of the product volume to \sigma_m is d_kd_l/d_{k+l}. The usual series for the logarithmic derivatives of \Gamma gives
Indeed, strict convexity of t\mapsto(t+j/2)^{-2} implies
Thus, with k>0 fixed, the derivative in l of \log(d_kd_l/d_{k+l}) is negative. Increase the second entry of a minimizing pair for m by one to obtain a strictly smaller competitor for \vartheta_{m+1}. This proves the strict decrease. The stated values follow from k=l=1 and k=l=2, respectively.
For a d-dimensional Euclidean varifold V, its density at z, when it exists, is
Here \|V\| is its weight measure. We use stationary integral varifolds with their full integer multiplicities. In particular, coincident sheets add their masses.
The following multiplicity estimate is due to Nguyen [19, Corollary 4.8] and Ge–Li [12, Theorem 1.2]. We include its cone-monotonicity proof to make the treatment of source multiplicity explicit.
Proposition 2.2 (Immersion reduction). Let F:M^m\to S^{m+1} be a smooth minimal immersion of a closed manifold, with m\ge2. If some image point has q preimages, then
In particular, every immersion violating the bound in Theorem 1.1 is an embedding.
Proof. Push forward the parametrized Euclidean cone
with measure r^m\,dr\,d\mathrm{vol}_M. This gives an integral (m+1)-varifold \mathcal C_F, extended with zero mass at the origin. Minimality of F makes it stationary away from the origin. The boundary term for first variation after truncation at r=\epsilon is O(\epsilon^m); it tends to zero. Thus \mathcal C_F is stationary in all of Euclidean space. The corresponding calculation for general spherical varifolds is given in Lemma 6.1.
Its centered ball masses are exactly
and hence
Every fiber of a compact immersion is finite: it is compact and its points are isolated by local embedding neighborhoods. At a nonzero cone point over an image point with q preimages, these neighborhoods give q smooth local sheets, each of density one. Therefore the density there is q, even when tangent planes agree or sheets coincide.
For a fixed Euclidean center z, the inclusions
show that the large-radius mass ratio has limit \Theta(\mathcal C_F,0). Stationary monotonicity centered at the chosen nonzero point consequently gives
This proves the inequality. If F is not injective, take q\ge2 and use Lemma 2.1. Finally, an injective immersion from a compact manifold is an embedding.
Remark 2.3. The preceding argument counts preimages at the actual point; it does not require transverse self-intersections. On a regular image patch, the number of coincident sheets is the usual local covering multiplicity. Distinct minimal sheet germs are analytic and meet in a set of hypersurface measure zero unless they agree. Thus the generic multiplicity on such patches also has its ordinary covering interpretation. In particular, replacing a minimal embedding by a finite covering multiplies the measured volume by its degree.
Lemma 2.4. A closed connected embedded non-equatorial minimal hypersurface \Sigma^m\subset S^{m+1} is two-sided and full, meaning that its position vectors span \mathbb R^{m+2}. It is real analytic, and
For every nonzero constant vector a, the coordinate function \langle a,x\rangle is nontrivial and its zero set has m-dimensional measure zero.
Proof. A closed embedded hypersurface in a sphere separates it into two regions and has a global unit normal. If its image were contained in a linear hyperplane, it would be an open and closed subset of the corresponding great sphere, by equality of dimensions. Connectedness and compactness would make the image that great sphere. This proves fullness.
The coordinate equation \Delta x=-mx gives the integral identity. In analytic ambient coordinates, a minimal hypersurface is locally an analytic graph by analytic regularity for the minimal graph equation [4, Theorem 1.1]. Thus its coordinate functions are analytic. Fullness makes each \langle a,x\rangle, a\ne0, nontrivial, and a nontrivial analytic function on a connected manifold has a zero set of measure zero [18, Proposition 0].
3 Average curvature and index rigidity
Throughout this section, \Sigma^m\subset S^{m+1} is a smooth, closed, connected, embedded minimal hypersurface, m\ge2, which is not totally geodesic. Write x for its position vector, N for a global unit normal, A=-dN for its shape operator, and P=|A|^2. Integrals use the induced volume measure dV; set V_\Sigma=\Vol_m(\Sigma). The inequality
is the inequality part of Perdomo’s conjecture, as formulated in [11, Conjecture 1.5]. We prove it by a two-sided curvature maximum. Combining it with the conformal and spectral argument of [22, Theorem 3.1] then gives the index rigidity needed below. We include that argument, in particular its pointwise equality step.
With \Delta=\operatorname{div}\nabla, the minimal hypersurface identities are
Here the Laplacian of A is the rough tensor Laplacian. We also use \tr A=0 and the Codazzi identity: \nabla A, viewed as a covariant three-tensor, is symmetric. The last two formulas are the hypersurface case of Simons’ identity [26, Theorem 5.3.1, equation (5.3.2)].
3.1 A two-sided curvature maximum
Define
Embeddedness makes the denominator positive away from the diagonal. The absolute value controls both signs of the principal curvatures. The reflection used below appears in Brendle’s two-point argument [6, Section 2] and in curvature estimates for hypersurface flows [2, Section 2]. The diagonal and distinct-point contact calculations are also closely related to [20, Lemma 3.5 and Proposition 4.1]. Using the sum of the two one-sided tangent-ball curvature functions, Nifa obtains a stronger quadratic-form inequality and derives both the average-curvature bound and the embedded least-index classification [20, Theorem 1.1 and Corollary 7.3]. For the integrated estimate needed here, the absolute maximum in (3.2) suffices. We prove its differential inequality directly.
Rather than differentiate the maximum, we estimate smooth upper tests. The logarithmic form of the estimate will allow comparison with a Poisson potential, forcing the mean of m-P to be nonpositive.
Lemma 3.1 (Upper tests for the curvature maximum). The function \mu in (3.2) is finite, continuous, and strictly positive. If a smooth positive function \phi satisfies \phi\ge\mu in a neighborhood of x and \phi(x)=\mu(x), then
Proof. We first describe the possible contacts. Let \gamma(t)=\exp_x(tv), where v\in T_x\Sigma is a unit vector, and regard \gamma as a curve in \mathbb R^{m+2}. The ambient differentiation formulas give
For example, \gamma''(0)=-x+A_x(v,v)N(x), while \langle x,\gamma'''(0)\rangle=0. Compactness makes these expansions uniform on the unit tangent bundle for sufficiently small |t|. Consequently, adjoining unit tangent directions at the diagonal extends the quotient continuously, with values |A_x(v,v)|.
For completeness, this extension also gives continuity when the base point varies. If x_j\to x and nearly maximizing points y_j stay away from x, a convergent subsequence gives an ordinary distinct-point contact. If y_j\to x, write y_j=\exp_{x_j}(t_jv_j) and take a convergent subsequence of unit tangent directions. The uniform expansions show that its limiting quotient is at most \mu(x). This proves upper semicontinuity. Holding fixed any y\ne x whose quotient is within \varepsilon of \mu(x) proves lower semicontinuity, after letting \varepsilon\downarrow0. The same compactness argument proves finiteness and shows that a maximum is realized either by distinct points or by a tangent direction. If \mu(x)=0, the entire hypersurface lies in N(x)^\perp, contrary to fullness from Lemma 2.4. Thus \mu>0.
Fix an upper test \phi at x. At a realizing contact, choose the sign of N to make the signed quotient positive, and change the sign of A at the same time. This choice is held fixed in a neighborhood. It requires no continuous choice of maximizing sign: for either fixed sign and for every nearby x' and every y'\ne x',
Choose a principal orthonormal basis e_1,\ldots,e_m at x, and write Ae_i=\lambda_i e_i. The diagonal limits give
We shall prove the stronger inequality
where \phi_i=d\phi(e_i) and every component with \lambda_i=\phi will be shown to vanish.
Distinct-point contact. Suppose y\ne x realizes the maximum with the chosen sign. On the product of a neighborhood of x with \Sigma, set
By (3.6), Z\ge0 and Z(x,y)=0. Write c=\langle x,y\rangle, s=1-c>0, and d_i=\langle e_i,y\rangle. The first derivatives at the minimum give
Reflection across the hyperplane perpendicular to x-y sends x to y, and sends N(x) to
Indeed \langle N(x),y\rangle=\phi s, so this vector is perpendicular to y and has length one. The y first-derivative equation for Z shows that n_y is perpendicular to T_y\Sigma. Therefore the reflected vectors
form an orthonormal basis of T_y\Sigma, and
The vector n_y may be either orientation of the normal at y; only minimality at y enters the following trace computation.
Use the product connection to compute the Hessian of Z. Denote its mixed entries in the indicated bases by Z_{x_i y_i}. From (3.1),
In particular, the nonnegative sum of Hessians along (e_i,\widetilde e_i) is
where we used \tr A=0 and then (3.9). If \lambda_i=\phi, (3.9) gives \phi_i=0. Dividing by s and substituting that equation in all other directions gives the first inequality of (3.8).
Diagonal contact, including repeated eigenvalues. Suppose instead that a unit tangent direction realizes the maximum. With our choice of normal sign, the top eigenvalue is \phi(x). Let E\subset T_x\Sigma be its full eigenspace. For every unit v\in E and every local smooth unit extension V of v,
The first derivative at this contact, in any direction w\in T_x\Sigma, is
The field-derivative term vanishes because A(v,\nabla_wV)=\phi\langle v,\nabla_wV\rangle=0. For the geodesic with initial direction v, formulas (3.4)–(3.5) give the signed quotient
It is at most the fixed value \mu(x)=\phi(x) for both signs of t. Hence (\nabla_vA)(v,v)=0, and (3.10) implies
This holds for every vector in E, not just for one principal vector. Moreover, polarizing (3.10) on E gives (\nabla_wA)|_{E\times E}=d\phi(w)g|_{E\times E}. These are pointwise statements; no smooth extension of the eigenspace is assumed.
Fix e_1\in E and choose a smooth unit field V with V(x)=e_1. Put
The first derivatives \nabla_{e_j}V may be prescribed arbitrarily in e_1^\perp: prescribe the corresponding jets of any local field and normalize it. Unit length determines precisely the second-derivative contraction that occurs in the calculation,
Thus, in a geodesic orthonormal frame at x,
No other second derivative of V contributes, since Ae_1=\phi e_1. Choose the free first jets by
The minimum of \phi-A(V,V) then yields
In the last step we used Simons’ identity and Codazzi: T_{1i}=(\nabla_{e_i}A)(e_1,e_1)=\phi_i. Equation (3.11) accounts for every omitted top-eigenspace gradient component. This proves the first inequality of (3.8) also at a repeated diagonal contact.
In both cases, (3.7) gives 0<\phi-\lambda_i\le2\phi in each retained direction. The vanished components in the other directions therefore give the second inequality of (3.8). Dividing by \phi and subtracting |\nabla\phi|^2/\phi^2 proves (3.3).
Theorem 3.2 (Average-curvature inequality). Every smooth, closed, connected, embedded minimal hypersurface \Sigma^m\subset S^{m+1}, m\ge2, which is not totally geodesic satisfies
Proof. If the inequality failed, then
Since m-P-c has mean zero, the Poisson equation on the closed connected manifold has a smooth solution. Indeed, the kernel of \Delta consists of constants by integration by parts; the compact elliptic Fredholm alternative and regularity [28, §10, equations (10.4)–(10.6)] give
Let K=\max_\Sigma(\log\mu-h) and let x attain this maximum. The smooth positive function \phi=\exp(h+K) is an upper test for \mu at x. Lemma 3.1 and (3.14) imply
a contradiction. This argument uses only continuity and positivity of \mu; it does not differentiate \mu or assume any weak regularity for its gradient.
3.2 Normal coordinates and conformal tests
The average-curvature bound is now available. To turn it into index rigidity, we need conformal coordinates orthogonal to the top Jacobi eigenfunction and a strict bound for their energy. Equality of the curvature integrals alone will not be used as a pointwise curvature statement: that step will follow from equality in each spectral test.
Lemma 3.3 (Independence of the normal coordinates). The map a\mapsto\langle a,N\rangle from \mathbb R^{m+2} to C^\infty(\Sigma) is injective.
Proof. Suppose a\ne0 and \langle a,N\rangle=0 everywhere. Set f=\langle a,x\rangle. The ambient Gauss formula gives
This function is nonconstant: a constant solution would be zero, whereas f\equiv0 contradicts fullness. Obata’s sphere-rigidity theorem [21, Theorem A] applies to the complete connected manifold (\Sigma,g) and shows that it is isometric to the unit round S^m. The scalar Gauss equation for a minimal hypersurface, \operatorname{Scal}_\Sigma=m(m-1)-P, then gives P=0. This contradicts the hypothesis that \Sigma is not totally geodesic.
For a\in S^{m+1} and \tau\ge0, put C=\cosh\tau, S=\sinh\tau, and define a conformal automorphism of the ambient sphere by
Its length factor is
Indeed, with B=I+(C-1)aa^{\mathsf T}, differentiation gives
whose inner products are \beta_{\tau,a}^2 times those of the original tangent vectors. In particular T_{0,a} is the identity.
The balancing step is the conformal center-of-mass argument of Li and Yau [15, proof of Theorem 1, p. 274], applied to the positive Jacobi eigenfunction as in Perdomo’s argument [22, Theorem 3.1]. We include the construction and the strict area identity that will be needed for equality.
Lemma 3.4 (Conformal balancing and strict area maximum). For every smooth positive weight u on \Sigma, there is a map T_{\tau,a} in (3.15) such that
For every a\in S^{m+1} and \tau\ge0,
with strict inequality if \tau>0. Consequently,
again with strict inequality if \tau>0.
Proof. Parametrize the transformations by z=(\tanh\tau)a in the open unit ball of \mathbb R^{m+2}, with the identity at z=0. Consider
As z\to a_*\in S^{m+1}, the integrand tends to -a_* at every point with x\ne a_*. This remains true for a moving direction a\to a_*. The measure u\,dV assigns zero mass to a point, and the integrands have length one. Dominated convergence extends F continuously to the closed ball, with F(a_*)=-a_*. If F had no zero, its normalization F/|F| would extend the antipodal map from the boundary sphere to the ball. The antipodal map has nonzero degree, so such an extension is impossible. A zero lies in the open ball and proves (3.17).
To prove (3.18), fix a and abbreviate f=\langle a,x\rangle, \eta=\langle a,N\rangle, and \beta=\beta_{\tau,a}(x). Orthogonal decomposition of a into position, tangent, and normal components gives
Integrating a divergence on the closed hypersurface yields
Differentiation in \tau therefore gives the exact formula
By Lemma 3.3, \eta is not identically zero. The derivative is strictly negative for every \tau>0. Starting from \beta_{0,a}=1 proves (3.18) and its strictness. Finally, Hölder’s inequality, including the identity case m=2, gives
The second inequality is strict for \tau>0, proving (3.19).
3.3 The least possible index
We combine the curvature lower bound with the conformal energy upper bound. Under the least-index hypothesis, the two estimates force equality in the spectral comparisons and hence parallel second fundamental form.
For our Laplacian convention, the Jacobi operator and the normal second variation are
Thus \ind(\Sigma) counts the positive eigenvalues of L, with multiplicity. The operator is self-adjoint on H^2(\Sigma) and has a complete orthonormal basis of smooth eigenfunctions [28, §10, equations (10.7)–(10.11)]. Its spectrum is bounded above, since its quadratic form is at most \max_\Sigma(m+P) times the squared L^2 norm.
Proposition 3.5 (Index rigidity). Every smooth, closed, connected, embedded minimal hypersurface \Sigma^m\subset S^{m+1}, m\ge2, which is not totally geodesic has
If \ind(\Sigma)=m+3, then, up to an ambient isometry, its image is
In particular, such a hypersurface of volume less than a_m has index strictly greater than m+3.
Proof. By (3.1), the m+2 normal coordinate functions satisfy LN=mN; they are linearly independent by Lemma 3.3. The largest eigenvalue \lambda_1 of L is simple and has a strictly positive eigenfunction u. Apply the first-eigenfunction theorem to the shifted Schrödinger operator K-L, with K>1+\max_\Sigma(m+P); its positivity uses connectedness and the strong maximum principle [29, Proposition 2.9]. Testing its Rayleigh quotient with the constant function gives
These eigenfunctions prove \ind(\Sigma)\ge m+3.
Suppose that equality holds. The positive spectrum consists of the simple eigenvalue \lambda_1>m and the eigenvalue m with multiplicity m+2. The spectral theorem therefore gives
Choose the conformal map supplied by Lemma 3.4 for the weight u, and write v=T_{\tau,a}(x). Each coordinate v_\alpha satisfies the orthogonality in (3.22). Since |v|=1 and \sum_\alpha|\nabla v_\alpha|^2=m\beta^2, summing those inequalities and integrating by parts gives
Theorem 3.2 forces equality throughout. The strict part of (3.19) implies \tau=0, so v=x.
We now use equality in the individual spectral inequalities. For each \alpha, the defect
is nonnegative by (3.22), and (3.23) shows \sum_\alpha d_\alpha=0. Thus every defect vanishes. In the spectral decomposition on u^\perp, all eigenvalues are at most m; equality in its quadratic form implies Lx_\alpha=mx_\alpha for every \alpha. On the other hand, (3.1) gives Lx=Px. Taking the inner product of (P-m)x=0 with x yields
The pointwise conclusion uses spectral equality as well as the integrated curvature equality.
The last identity in (3.1) now gives \nabla A=0. We finish by deriving the product classification. Parallelness makes the eigenvalues constant and their eigendistributions parallel. If U and W are unit vectors in distinct eigendistributions, the curvature tensor preserves each of those distributions, so \langle R(U,W)W,U\rangle=0. The Gauss equation gives
for any two distinct eigenvalues \lambda,\kappa. There are at most two distinct eigenvalues: a third would have to equal -1/\lambda as well. Since A is nonzero and trace-free, there are exactly two, of opposite signs. After changing N if necessary, write them as
where k and \ell are their multiplicities.
Let E_\lambda and E_\kappa denote the parallel tangent eigendistributions. Consider the ambient subspaces, initially depending on x,
They are orthogonal and their dimensions sum to m+2, because \langle\lambda N-x,\kappa N-x\rangle=1+\lambda\kappa=0. For any tangent vector w and any local section V of E_\lambda, ambient differentiation gives
Both expressions lie in \mathcal E(x): the second vanishes on E_\kappa and maps E_\lambda to itself. Hence \mathcal E is a constant subspace of \mathbb R^{m+2} along the connected hypersurface; the same holds for its orthogonal complement \mathcal F. The projections of x to these fixed spaces have lengths
Thus the image of \Sigma lies in the displayed Clifford product. The inclusion is a local diffeomorphism onto this product, since both manifolds have dimension m. Its image is open, and compactness makes it closed. The product is connected because k,\ell\ge1, so the image is the entire product. The final assertion follows from the definition of a_m.
4 Cohomological detection and the min–max input
This section establishes the topological and variational statements used below, independently of the geometric family constructed in Section 5. Its output will be a stationary integral varifold whose mass lies between a fixed threshold above the equator and the largest mass in the input family. We first identify the topological condition that forces this lower threshold, then match it to the published min–max theorem. Throughout, coefficients for chains and cohomology are \mathbb Z_2, and
Write \mathbf M for mass and \mathcal F for the flat distance of chains in S^{m+1}. Let \mathcal C(S^{m+1}) be the space of sets of finite perimeter, identified modulo sets of round volume zero, with metric
The mod-two chain carried by E is denoted by [E]. The finite-perimeter representation theorem gives
Indeed, the reduced boundary has multiplicity one, so reduction modulo two does not change its mass [5, §2.2]. Finite-mass top-dimensional mod-two chains in the sphere are represented by measurable sets, with addition given by symmetric difference [10, §7, pp. 317–318]; see also [33, §§2.1–2.3 and Appendix].
We record why finite boundary mass gives finite perimeter in the precise case needed for fillings. Put n=m+1, let A=[E] be such a chain, and suppose B=\partial A has finite mass. For a smooth tangent field X on S^n, let \phi_t be its flow and H(s,x)=\phi_s(x). The flat-chain homotopy formula, valid also with mod-two coefficients [31, §6.2, Lemma 6.4], gives
The first swept chain vanishes because its dimension is n+1, whereas its image lies in S^n. On the rectifiable boundary chain, the tangential n-Jacobian of H is at most \|X\|_\infty(1+O_X(t)): its time derivative is X, and its n-1 spatial derivatives are those of a flow tending smoothly to the identity. The area formula for the swept chain therefore gives
Since \Vol(\phi_t(E))=\int_E J\phi_t, division by t>0 and passage to zero show \left|\int_E\operatorname{div}X\right| \le\|X\|_\infty\mathbf M(B). The variational definition of perimeter gives \operatorname{Per}(E)\le\mathbf M(B)<\infty. The reduced-boundary representation then proves equality of these masses as in (4.1). Thus this argument applies to arbitrary finite-mass fillings before any boundary regularity is known.
4.1 The filling cover and projective detection
Denote by \mathcal Z_m^0(S^{m+1};\mathbb Z_2) the flat path component of zero among finite-mass integral m-cycles.
Lemma 4.1 (The filling cover). The boundary map
is a two-sheeted covering map for the indicated topologies. Its deck involution is E\mapsto E^c=S^{m+1}\setminus E.
Proof. We use the small-filling theorem in the following precise form: there are constants \nu>0 and c\ge1, depending on the sphere, such that if \mathcal F(T-T')<\nu, then there is an (m+1)-chain R in the sphere with
This is the isoperimetric choice described in [17, §3.1, p. 11]; all locators for this source refer to arXiv:1311.6501v2. Applied to a sufficiently fine partition of a flat-continuous path from zero to T, these fillings sum to a top-dimensional chain with boundary T. The preceding representation therefore writes T=\partial[E] with E of finite perimeter. Conversely, intersecting any such E with the increasing spherical caps \{y_{m+2}<t\}, -1\le t\le1, gives sets of finite perimeter continuous in volume, from the empty set to E. Thus every \partial[E] belongs to this path component.
If \partial[E]=\partial[F], then \partial[E\triangle F]=0. By (4.1), the characteristic function of E\triangle F has zero distributional gradient. Connectedness of the sphere makes it constant almost everywhere. Hence F=E or F=E^c.
For the covering topology, fix T=\partial[E] and choose \delta>0 so that 2\delta<\nu and 4c\delta<\sigma_{m+1}. For T' in the flat \delta-ball about T, choose the small filling R(T,T') from (4.2). This choice is unique: two such choices differ by zero or the whole sphere, and their total mass is smaller than \sigma_{m+1}. If T' and T'' are in the ball, the same argument applied to
shows that this cycle is zero: its mass is at most 4c\delta. Consequently the filling branch determined by
satisfies d(E_{T'},E_{T''})\le c\mathcal F(T'-T''). It and its complementary branch are continuous and exhaust the preimage of the ball. They are disjoint open branches in that preimage, distinguished by volume distance from E less than, or greater than, \sigma_{m+1}/2. Together with (4.1), this proves the assertion.
Let
be the class of this cover: its value on a loop is one precisely when a lifted filling path ends at the complement of its initial filling. This description also identifies \lambda with the class in the usual Almgren–Pitts sweepout definition. Indeed, partition a loop into small flat increments and lift it to E_t. The sum of its small fillings is [E_1]+[E_0], which is zero or [S^{m+1}] according to the monodromy. This is exactly Almgren’s homology class of the loop [17, §§3.1–3.3 and the beginning of §4].
Definition 4.2 (Detection). A flat-continuous map \Phi:X\to\mathcal Z_m^0(S^{m+1};\mathbb Z_2) from a finite CW complex is detecting if
Detection is preserved by flat homotopies. We say that \Phi has no concentration of mass if
The following criterion records exactly the topology needed for the family in Section 5.
Lemma 4.3 (Projective criterion). Set Q=\overline B^{m+2}\times[-1,1]. Suppose q\mapsto E_q\in\mathcal C(S^{m+1}) is continuous in volume, with
Then q\mapsto\partial[E_q] descends to a detecting map on Q/(q\sim-q\text{ on }\partial Q)\cong\mathbb{RP}^{p}.
Proof. Radial projection identifies the centrally symmetric convex body Q with the closed p-ball, respecting antipodes. Its boundary-antipodal quotient is therefore \mathbb{RP}^{p}. Complementary fillings have the same mod-two boundary, so (4.1) and the quotient property give a flat-continuous descended map \Phi. The fillings themselves specify local branches of its pulled-back cover, not a single filling on the quotient. At a boundary seam one uses E_q in one collar and the complementary choice in the collar of -q; these choices agree along the identified boundary and are continuous in volume.
The segment b\mapsto(0,b) becomes a closed loop in this quotient. Its displayed lift starts at the empty set and ends at the whole sphere. Hence \Phi^*\lambda is the nonzero degree-one class \alpha of \mathbb{RP}^{p}. The projective cohomology ring is
[14, Theorem 3.19, p. 220]. In particular (\Phi^*\lambda)^p=\alpha^p\ne0.
4.2 A strict perimeter gap
Lemma 4.4 (Detection gap). There is a constant \gamma_m>\sigma_m, depending only on m, such that every detecting map satisfies
Proof. First consider the constrained class of finite-perimeter sets
It is nonempty: the union of two antipodal caps, with their common radius chosen to give half the spherical volume, belongs to it. Define
This number is finite. A minimizing sequence has bounded perimeter; compactness for sets of finite perimeter on the compact sphere yields a subsequence converging in L^1 to a set E of finite perimeter. The volume and all centroid coordinates pass to the limit, while perimeter is lower semicontinuous. Thus E\in\mathcal A_m realizes (4.4). These are the usual BV compactness and lower-semicontinuity statements in local charts [25, Chapter 2, Theorem 2.6, pp. 54–55]; a finite chart cover gives the compact-sphere assertion used here.
Spherical isoperimetry says that a half-volume set has perimeter at least \sigma_m, with equality only for a hemisphere modulo null sets [5, §2.3, equation (2.2), p. 5]. The centroid of the hemisphere \{y\cdot a>0\}, |a|=1, is
The minimizer in \mathcal A_m therefore cannot attain \sigma_m, proving \gamma_m>\sigma_m.
Now pull the filling cover back by \Phi. On this cover the function
is continuous and changes sign under E\mapsto E^c. If it never vanished, normalization would give an equivariant map to S^{p-1} and hence a quotient map f:X\to\mathbb{RP}^{p-1}. Fiberwise this identifies the filling cover with the pullback of S^{p-1}\to\mathbb{RP}^{p-1}: each of its two points is sent to one of the two antipodal unit vectors. It follows that \Phi^*\lambda=f^*\alpha, so (\Phi^*\lambda)^p=f^*(\alpha^p)=0, contrary to detection. At a zero of (4.5) the filling belongs to \mathcal A_m, and its cycle has mass \operatorname{Per}(E)\ge\gamma_m by (4.1).
4.3 Cubical parameters and the precise min–max consequence
Lemma 4.5 (Cubical replacement). A detecting map on \mathbb{RP}^{p} can be pulled back to a detecting map on a finite cubical complex, preserving its mass supremum and its no-concentration property.
Proof. Embed \mathbb{RP}^{p} in the Euclidean space of real symmetric (p+1)\times(p+1) matrices by [u]\mapsto uu^t, |u|=1. Each such matrix has a simple top eigenvalue 1, separated from the remaining eigenvalues 0. On a neighborhood U of this compact image the top eigenvalue remains simple, and its eigenline gives a continuous retraction to \mathbb{RP}^{p}. Choose a sufficiently fine finite cubical grid in a larger cube, and let K be the union of the closed cubes meeting the image, together with their faces. Then K\subset U. After an affine rescaling it is a finite cubical subcomplex of a subdivided unit cube.
Let i:\mathbb{RP}^{p}\to K be the inclusion and r:K\to\mathbb{RP}^{p} the restricted retraction. Since r\circ i=\mathrm{id}, the map r^* is injective on cohomology. Thus \Phi\circ r detects whenever \Phi does. Surjectivity of r makes the two cycle images identical, proving both remaining assertions. The dimension of K may exceed p. Only its finiteness and its detecting cohomology class are needed here.
Theorem 4.6 (Min–max consequence). Let m\ge2, and let \Phi:X\to\mathcal Z_m^0(S^{m+1};\mathbb Z_2) be a detecting map on a finite cubical complex, with no concentration of mass and
There is a stationary integral m-varifold V in S^{m+1} such that
If 2\le m\le6, V can be chosen as a finite sum of smooth closed embedded minimal hypersurfaces with positive integer multiplicities. The same conclusions hold for a family on \mathbb{RP}^{p}.
Proof. We specify both the imported results and the width comparison. For a discrete map \phi on the vertices of a cubical subdivision, its fineness is
An (X,\mathbf M)-homotopy sequence consists of uniformly mass-bounded discrete maps whose successive maps are joined, after subdivision, by discrete homotopies of fineness tending to zero. Two sequences represent the same class if their corresponding maps are joined by such homotopies with fineness tending to zero. These are the conventions of [17, §§2.2–2.6, pp. 6–7].
The discretization theorem [17, Theorem 3.9, p. 13], applied using (4.3), provides such a sequence \mathcal S=\{\phi_i\} with \mathbf f(\phi_i)\to0 and
For any sufficiently fine discrete map, the Almgren extension \widehat\phi:X\to\mathcal Z_m^0(S^{m+1};\mathbb Z_2) is continuous in the mass norm and satisfies
where C_X is fixed [17, Theorem 3.10, p. 14]. Moreover, the extensions of \phi_i are flat homotopic to \Phi for all sufficiently large i [17, Corollary 3.12(ii), p. 15].
Let \Pi be the class of \mathcal S, and write
Certainly \mathbf L(\Pi)\le D_0. Fix one competitor \mathcal S'\in\Pi. Its homotopies to \mathcal S have fineness tending to zero. Therefore their Almgren extensions are flat homotopic for all sufficiently large indices, by [17, Corollary 3.12(i), p. 15]. Each \widehat\phi_i' is then detecting. Lemma 4.4 and (4.7) give
Taking the upper limit proves \gamma_m\le\mathbf L(\mathcal S'). Since the competitor was arbitrary,
The index beyond which the extensions detect may depend on \mathcal S'; no threshold uniform over all competitors is used. This is the continuous/discrete detection compatibility also recorded in [17, Lemma 4.6, p. 16].
The Almgren–Pitts existence theorem in [17, Theorem 2.14, p. 10] now gives a stationary integral varifold at mass \mathbf L(\Pi), almost minimizing in annuli. That theorem has no dimension restriction. Its low-dimensional regularity consequence is [17, Theorem 2.11, pp. 8–9], which gives the stated smooth embedded support for 2\le m\le6. These results are the mod-two form of the Almgren–Pitts theory; the integrality input is [23, Theorem 3.13], and the regularity extension is [24, Theorem 4]. This proves (4.6). For projective parameters, first apply Lemma 4.5.
Remark 4.7. For m=2,3, the smooth output in Theorem 4.6 has a closed associated mod-two chain: each closed component contributes its integer multiplicity modulo two. This supplies the cyclicity needed in Section 6. For m\ge4 we use only stationarity and integrality of the output; regularity will follow from the density argument there. No min–max index estimate or multiplicity-one theorem is used. In particular, increasing the dimension of the cubical parameter complex imposes no new index requirement. The local index deformation in Section 5 is performed on the projective family before this cubical replacement.
5 A Lorentz-distance family
Throughout this section, \Sigma^m\subset S^{m+1} is smooth, closed, connected, embedded, minimal, and not totally geodesic, with m\ge2. Write |\Sigma|=\Vol_m(\Sigma) and d\mu for its area measure. Choose a global unit normal N, with shape operator A=-dN. The construction below uses the signed Euclidean distance to the cone over \Sigma. Acting on its graph by Lorentz transformations produces a family whose area can be estimated on the fixed source \Sigma, including at cut points and at infinite boosts. The use of distance levels, compactified parameters, and a local index deformation has antecedents in the canonical-family construction of Marques and Neves [16, Sections 2.3 and 10]. Here the transformation acts on the graph of Euclidean cone distance; the complementary fillings will supply projective detection.
Proposition 5.1 (The Lorentz-distance family). Let p=m+3 and
Identify opposite points of \partial Q, and denote the quotient map by q:Q\longrightarrow\mathbb {RP}^{p}. There is a flat-continuous map
with the following properties.
- (i)
The map \Phi is detecting in the sense of Definition 4.2, has no concentration of mass, and satisfies
\Phi(q(0,0))=\partial[\Omega],\qquad \mathbf M(\Phi(q(0,0)))=|\Sigma|,where \Omega is the side of \Sigma opposite to N. For r=\sqrt{1-b^2} its masses obey
\mathbf M(\Phi(q(v,b)))\le \begin{cases} r^m|\Sigma|,& |v|<1,\\ r^m\sigma_m,& |v|=1. \end{cases} \tag{5.1}In particular |\Sigma|\ge\gamma_m>\sigma_m, where \gamma_m is the constant in Lemma 4.4.
- (ii)
The central parameter is the unique maximum, in the uniform sense that for every neighborhood U of (0,0) in Q,
\sup_{u\in Q\setminus U}\mathbf M(\Phi(q(u)))<|\Sigma|. \tag{5.2} - (iii)
Near (0,0) these cycles are precisely the multiplicity-one boundaries of a smooth family of domains, with embedded boundaries parametrized by \Sigma. The normal derivative at the center, in the parameter direction (d,t)\in\mathbb R^{m+2}\times\mathbb R, is
w_{d,t}(x)=t+\langle d,x\rangle. \tag{5.3}These variations form a p-dimensional subspace on which the area second variation is negative definite.
- (iv)
If \ind(\Sigma)>p, there is a flat homotopy of \Phi, supported in the image of a neighborhood of (0,0), to a detecting map \widetilde\Phi with no concentration of mass and
\sup_{\xi\in\mathbb {RP}^{p}}\mathbf M(\widetilde\Phi(\xi))<|\Sigma|. \tag{5.4}
We first parametrize closest-point contacts and estimate every level. The same source estimate then gives no concentration, including at infinite boosts, and the complementary boundary fillings establish detection. Finally, we isolate the central maximum and deform it using an additional negative direction. The only global area input needed to begin the construction is |\Sigma|\ge\sigma_m, furnished by cone monotonicity in Proposition 2.2.
5.1 Signed distance and closest-point contact
Let \mathcal C=C(\Sigma)\subset\mathbb R^{m+2} include its vertex. The two sides of \Sigma determine two sides of \mathcal C. Let \varphi be signed Euclidean distance to \mathcal C, positive on the side pointed to by N and zero on \mathcal C. This function is homogeneous of degree one under positive dilations and is 1-Lipschitz. For points on the same side, the latter assertion is the ordinary distance inequality. For points on opposite sides, their joining segment meets \mathcal C, and the sum of their distances to \mathcal C is at most the length of that segment.
Lemma 5.2 (Cone contact). There is K<1 such that
For z\ne0, put h=\varphi(z). Every closest point of \mathcal C to z has the form r_zx, with x\in\Sigma and
The final inequality is an inequality of self-adjoint endomorphisms of T_x\Sigma.
Proof. Define H(z)=\max_{x\in\Sigma}\langle z,x\rangle. Lemma 2.4 gives \int_\Sigma x\,d\mu=0 and fullness. Thus H(z)>0 for z\ne0: a nonpositive coordinate function of mean zero would vanish identically. Compactness gives c=\min_{|z|=1}H(z)>0. Minimizing first along each ray of the cone gives
This proves (5.5) with K=\sqrt{1-c^2} and excludes the vertex as a closest point to nonzero z.
A closest ray is determined by a maximum x of \langle z,\cdot\rangle, and its radial coordinate is H(z). At this maximum the tangential component of z vanishes, so z=H(z)x+\widetilde hN(x), where |\widetilde h|=|h|. The segment from z to its closest point meets no earlier cone point. Its side near contact therefore agrees with the side of z, proving \widetilde h=h with our signed-distance convention. Finally, at this height maximum the spherical immersion formula gives
These arguments apply to each maximum separately and therefore also apply when there are several closest points.
5.2 The transformed graph and its level parametrization
For v\in B^{m+2} write
where |a|=1 and \tau\ge0. At v=0, the expressions below are understood by continuity; they do not depend on the choice of a. Indeed, Sa=Cv and (C-1)aa^t=C^2vv^t/(C+1) are smooth in v. Use the Lorentz transformation
Lemma 5.3 (Global graph and compactification). For each v\in B^{m+2} the inverse image under (5.7) of h=\varphi(z) is the graph of a continuous function b=\psi_v(y) on all of \mathbb R^{m+2}. The functions depend continuously on (v,y). On S^{m+1} they satisfy |\psi_v|<1 and extend jointly continuously to \overline B^{m+2}\times S^{m+1} by
Proof. For fixed v,y, consider
The Lipschitz property of \varphi gives, when b_2>b_1,
The same estimate implies limits -\infty and +\infty at the two ends of the real line. Hence there is exactly one zero, and the local positive lower bound for C-S proves continuous dependence of that zero on finite parameters and y.
At a graph point with |y|=1, (5.5) and Lorentz invariance give
Equality |b|=1 would force z=h=0, contrary to |y|=1 and invertibility of the boost. Thus |b|<1. Since b+\langle v,y\rangle=h/C, we also obtain
This tends to zero as |v|\to1, uniformly in y and in the boost direction, proving the claimed extension.
Fix now |v|<1 and -1<b<1, and put r=\sqrt{1-b^2}. For x\in\Sigma define
These are obtained by applying the inverse boost
to z=rx+hN. In fact the second equation becomes b=Dh-Srf, which gives precisely the displayed h_{v,b} and Y_{v,b}.
The differential of this map has an especially useful form. For w\perp N(x) set
The identities B^2=I+S^2aa^t and
show that |N'|=1 and that O:N^\perp\longrightarrow(N')^\perp is a linear isometry. In particular,
The two pointwise normal planes in Figure 1 explain the roles of the scalars. In z=rx+hN, the ratio h/r is the tangent of the signed angle from x to z/|z|; in (5.12), b is the sine of the signed angle from Ox to Y_{v,b}. Although r is fixed on a level, h_{v,b} generally varies with x.
Figure 1: The two decompositions at a fixed closest-point contact, shown schematically with positive normal coefficients. Lorentz invariance makes the coefficient r=\sqrt{1-b^2} the same in both planes. The source vector z need not be unit length. On a fixed level, b is constant while h=h_{v,b}(x) can vary. The isometry O and normal N' depend on the source point; the picture does not represent a single ambient rotation.
Differentiating N' and then Y_{v,b}, with v,b fixed, gives
and consequently
Here J_m is the metric m-dimensional Jacobian; the isometry O accounts for the entire ambient change in the differential.
5.3 Every level has the required perimeter bound
Define
For finite boosts and interior levels, also define the closed source set
Lemma 5.4 (The restricted area bound). Every E_{v,b}, for (v,b)\in Q, has finite perimeter. For |v|<1, |b|<1 and every open set U\subset S^{m+1},
and on T_{v,b},
Thus these estimates hold at every level, without an exceptional set of values of b.
Proof. Take y\in\Lambda_{v,b} and transform (y,b) to (z,h) by (5.7). Lemma 5.2 supplies a closest point r_zx. Lorentz invariance gives r_z^2=|z|^2-h^2=1-b^2, so r_z=r. The inverse formulas then show that h=h_{v,b}(x), y=Y_{v,b}(x), and x\in T_{v,b}. Therefore
The nonnegative eigenvalues of rI-h_{v,b}A have sum mr, because \tr A=0. Their arithmetic–geometric mean inequality proves (5.15). The area formula [9, §3.2.3] [10, §3, pp. 299–300], with multiplicities counted in its source integral, now yields the second inequality in (5.14). The condition defining T_{v,b} is only necessary for a closest-point contact. Additional points in this source set, and multiple preimages of a level point, increase the upper bound and cause no difficulty.
In particular \mathcal H^m(\Lambda_{v,b})<\infty. Since E_{v,b} is open, its essential boundary is contained in its topological boundary, which is contained in \Lambda_{v,b}. The finite-essential-boundary criterion [10, §4, p. 302], applied in coordinate charts, gives finite perimeter. The intrinsic reduced-boundary representation [5, §2.2] then gives
This proves the first inequality with constant one.
For |v|<1 the endpoint sublevels are empty and full, respectively. For |v|=1, formula (5.8) makes them round caps, whose boundary masses are \sigma_m(1-b^2)^{m/2}, with zero mass at b=\pm1. These cases also have finite perimeter.
All of the levels \Lambda_{v,b} have zero (m+1)-dimensional volume: this follows from their finite m-dimensional measure in the interior; on the boost boundary they are round spheres or singletons; and at finite-boost endpoints they are empty. If (v_j,b_j)\to(v,b), Lemma 5.3 gives uniform convergence of \psi_{v_j}-b_j to \psi_v-b. Indicators of the sublevels consequently converge pointwise off \Lambda_{v,b}. Dominated convergence proves
Thus
is flat continuous on Q, since the flat distance between two of these cycles is at most the volume of the symmetric difference of their fillings. Its mass equals the perimeter of the filling, so (5.1) follows from Lemma 5.4.
5.4 Infinite boosts and no concentration of mass
We have obtained a flat-continuous family with the required total mass bound. To apply the min–max theorem, we must also control its mass in small balls uniformly over parameters, including boosts tending to infinity. The restricted Jacobian estimate lets us do this on the one fixed compact source \Sigma.
Lemma 5.5 (No concentration). The family \widehat\Phi satisfies
Proof. We prove the sequential form of the assertion. Consider u_j=(v_j,b_j)\to(v_*,b_*), y_j\to y_*, and \rho_j\downarrow0. The case |b_*|=1 follows directly from (5.1). Parameters on |v|=1 are harmless as well: an m-sphere of Euclidean radius r in any affine (m+1)-plane has at most c_m\rho^m area in a ball of radius \rho, uniformly in r and the plane. For r\le2\rho use its total area; for r>2\rho the intersection lies in a spherical cap with angular radius at most \arcsin(\rho/r), and the same bound follows by the cap area formula. Spherical balls in the ambient unit sphere lie in Euclidean balls of the same radius. We may therefore pass to a subsequence with |v_j|<1 and |b_*|<1.
Put Y_j=Y_{v_j,b_j} and T_j=T_{v_j,b_j}. The local perimeter bound reduces the desired assertion to
The restricted bound gives 0\le I_j\le1 on the fixed compact source.
If |v_*|<1, the maps Y_j converge smoothly on \Sigma to Y_*=Y_{v_*,b_*}. Away from the fiber Y_*^{-1}(y_*), the ball indicator in (5.19) eventually vanishes. The area formula applied to the fiber gives
because a singleton has zero \mathcal H^m measure. Thus J_mY_*=0 almost everywhere on that fiber, and smooth convergence gives I_j\to0 there almost everywhere as well. Dominated convergence completes this case.
It remains to consider v_*=a with |a|=1. Write a_j=v_j/|v_j|, t_j=S_j/C_j=|v_j|, and f_j=\langle a_j,x\rangle, g_j=\langle a_j,N\rangle. The cancellation identity
gives
On compact subsets of \Sigma\setminus Z_a, where Z_a=\{x:N(x)=a\}, the denominators stay uniformly positive. Also
The maps and all their source derivatives therefore converge locally to
This computation allows the directions a_j to vary.
The exceptional normal fiber Z_a is source-null. Indeed Z_a\subset\{x:\langle a,x\rangle=0\}, whereas \langle a,x\rangle is a nontrivial analytic function by Lemma 2.4. Its zero set has zero m-dimensional measure. No rank assumption on the Gauss map is involved.
The point fiber F=Y_\infty^{-1}(y_*), defined off Z_a, may instead have positive source measure. On a countable cover by relatively compact coordinate patches in \Sigma\setminus Z_a, the area formula gives
for each such patch K. Hence J_mY_\infty=0 almost everywhere on F. Off F\cup Z_a the shrinking-ball indicator is eventually zero; on F, local smooth convergence gives J_mY_j\to0 almost everywhere. We conclude that I_j\to0 almost everywhere on \Sigma, and 0\le I_j\le1 again permits dominated convergence. In particular, convergence of the indicators \mathbf1_{T_j} is unnecessary. Only the restricted Jacobians are bounded; no bound for the unrestricted J_mY_j near Z_a has been used.
Finally, if (5.18) failed, compactness of Q and S^{m+1} would supply sequences of the above form whose ball masses stay bounded below by a positive constant. The sequential result excludes them.
5.5 The projective parameter space
On |v|=1, formula (5.8) gives
These fillings are complementary modulo their null common level. On the top and bottom faces they are full and empty, respectively. Together with the volume continuity in (5.17), these facts verify every hypothesis of Lemma 4.3. Therefore \widehat\Phi(u)=\partial[E_u] descends to a flat-continuous detecting map \Phi on \mathbb {RP}^{p}. Its image is unchanged by passage to the quotient, so Lemma 5.5 also gives no concentration for \Phi.
At (0,0), \psi_0=\varphi on the sphere, and the level is \Sigma, with sublevel \Omega. Combining the upper mass bound, Lemma 5.5, and Lemma 4.4 proves part (i) of Proposition 5.1, in particular
5.6 Uniform area loss away from the center
The family now detects the required cohomology class and has no concentration. We next prove that all parameters away from the original hypersurface lose a uniform amount of area. This isolates the maximum that the extra negative direction will remove.
Lemma 5.6 (A fixed source patch gives strict loss). For every neighborhood U of (0,0), (5.2) holds.
Proof. Suppose otherwise. There are u_j=(v_j,b_j)\in Q\setminus U with \mathbf M(\widehat\Phi(u_j))\to|\Sigma|. The mass bound forces b_j\to0. Parameters on the boost boundary have mass at most \sigma_m, which is strictly smaller by (5.22); discard those terms. After taking a subsequence, v_j\to v_*\ne0. Set t_*=|v_*|\in(0,1] and a=v_*/|v_*|. Discard finitely many terms so that v_j\ne0. For each j, set t_j=|v_j|, a_j=v_j/|v_j|, C_j=(1-t_j^2)^{-1/2}, r_j=\sqrt{1-b_j^2}, f_j=\langle a_j,x\rangle, and g_j=\langle a_j,N\rangle.
The open set \{A\ne0\} is nonempty. The analytic function f=\langle a,x\rangle cannot vanish on that entire open set, by fullness and connectedness. Choose a compact source patch K_0 of positive measure on which |A| and |f| are bounded below by positive constants. It is also disjoint from \{N=a\}, because N=a implies f=0. On this fixed patch, the formula for h_j=h_{v_j,b_j} becomes
uniformly. Its limit is finite and nonzero on K_0, including when t_*=1.
For a real symmetric matrix M, define its truncated determinant by
This is continuous: every boundary point of the positive-semidefinite cone is singular, so its determinant vanishes. At every x\in K_0, the matrix I-h_*(x)A(x) has trace m and is not the identity. If it is positive semidefinite, strictness in the arithmetic–geometric mean inequality gives determinant less than one; if it is not, \mathcal D is zero. Compactness of K_0 and continuity therefore give \delta>0 with
For all large j this yields \mathcal D(r_jI-h_jA)\le r_j^m-\delta on K_0. On all of \Sigma, the restricted determinant is at most r_j^m. Thus the area formula estimate gives
contradicting convergence to |\Sigma|. The proof supplies a uniform loss on a fixed portion of the source; it makes no upper-semicontinuity assumption about area in the flat topology.
5.7 The entire central level is a smooth boundary
Lemma 5.7 (The central tube). For all sufficiently small (v,b), the entire level \Lambda_{v,b} is Y_{v,b}(\Sigma), with Y_{v,b} a smooth embedding depending smoothly on the parameters. Every level point has a unique closest-point contact in the cone representation. Moreover
Thus \Lambda_{v,b}=\partial E_{v,b}=\partial^*E_{v,b} and its boundary cycle has multiplicity one.
Proof. Use a tubular neighborhood of the smooth cone on a compact annulus containing \{sx:x\in\Sigma,\ 1/2\le s\le3/2\}, constructed inside a slightly larger annulus. Compact embeddedness supplies a uniform \epsilon>0 so that, for these central radii and |h|<\epsilon, the point sx+hN(x) has unique closest cone point sx, and signed distance h. This is a tube for the whole cone: after shrinking \epsilon, points at radii outside the larger annulus cannot be closest, and uniqueness within that annulus follows from its tubular neighborhood.
For any actual level point y\in\Lambda_{v,b}, the boost gives
Every closest cone point has radius r=\sqrt{1-b^2}\to1. Thus all actual contacts lie in this one fixed tube, so each is unique. Conversely, for every source point x, the inverse formula gives
uniformly on \Sigma. Consequently z=rx+h_{v,b}(x)N(x) lies in the same tube and really has signed distance h_{v,b}(x). Its transformed point Y_{v,b}(x) is therefore an actual level point. This proves equality with the entire level and uniqueness of its source representation, not merely existence of one nearby component.
For these parameters the matrix rI-h_{v,b}A is uniformly positive definite, so (5.13) gives an immersion. Uniqueness of the contact and invertibility of the boost give injectivity; compactness then gives an embedding. All the formulas are smooth in (v,b,x) near the center.
In the tube d\varphi=N\cdot dz. Differentiating the graph relation at one of the level points yields
The derivative with respect to b is D>0, so the graph is smooth near that point and its Euclidean gradient is N'. Projecting onto the tangent space of the unit sphere and using (5.12) proves (5.23). Each level point therefore has a neighborhood in which E_{v,b} is one side of a regular smooth hypersurface. This proves the claimed topological and reduced boundary identities, with multiplicity one.
5.8 The extra index direction removes the maximum
Expand the central embedding in the Euclidean parameter u=(v,b)\in\mathbb R^p:
The error is smooth and uniform with its source derivatives. The functions in (5.3) are independent: integrating a relation t+\langle d,x\rangle=0 gives t=0, and fullness then gives d=0. To evaluate their second variation, use L=\Delta+m+P, P=|A|^2, and write w=t+f, f=\langle d,x\rangle. Since \Delta f=-mf and \int_\Sigma f\,d\mu=0,
For t\ne0 the first term suffices. For t=0, d\ne0, the nontrivial analytic function f cannot vanish throughout the nonempty open set where P>0. The minimal second-variation formula is \delta^2\Area(w,w)=-\int_\Sigma wLw\,d\mu. Lemma 5.7 ensures that it computes the mass of the actual boundary family, proving part (iii) of the proposition.
Assume now that \ind(\Sigma)>p. Let
Choose a finite-dimensional subspace spanned by L-eigenfunctions with positive eigenvalues, of dimension greater than p. The p linear conditions \mathcal B(\eta,w)=0 for w\in W admit a nonzero smooth solution \eta in that subspace. Then \mathcal B(\eta,\eta)>0, and (5.25) implies that \mathcal B is positive definite on W\oplus\mathbb R\eta.
Extend \eta N to a smooth ambient vector field on S^{m+1}, and let F_s be its flow. For small u,s, set
Lemma 5.7 makes \mathcal A smooth in a neighborhood of (0,0). Its first derivative there vanishes by minimality, and its Hessian is negative definite, by the preceding positive-form calculation. Taylor’s theorem therefore gives constants c>0 and \delta>0 such that
Shrink \delta so that this ball lies inside the central smooth parameter region.
Choose a smooth nonnegative function \beta(u) supported in |u|<\delta/2 and equal to one near u=0. For sufficiently small \varepsilon>0, replace E_u on that region by E(u,\varepsilon\beta(u)) and leave it unchanged elsewhere. The compact graph
misses (0,0). It is contained in the ball on which (5.26) holds, so its area maximum is strictly below |\Sigma|. On the complement of |u|<\delta/2, the same strict upper bound, possibly with a different positive gap, follows from Lemma 5.6. The boundaries of the modified domains consequently define a map \widetilde\Phi satisfying (5.4).
Replacing \varepsilon by t\varepsilon, 0\le t\le1, gives a flat homotopy, fixed outside the chosen interior neighborhood of Q. It descends through the quotient and preserves the detecting class. On the modified region, the boundaries belong to a compact smooth family of embeddings of \Sigma, and hence have no concentration of mass. For completeness, a finite cover by coordinate graph patches, with uniform metric and first-derivative bounds over the compact parameter set, bounds their masses in radius-\rho balls by a constant times \rho^m. Outside that region the original no-concentration estimate applies unchanged. This proves part (iv). Part (ii) is Lemma 5.6, so the proof of Proposition 5.1 is complete.
6 Low-density cones and attainment
We now obtain the compactness needed to minimize among counterexamples. The regularity argument has two induction parameters: the hypersurface dimension m in Theorem 1.1, and the dimension of a Euclidean cone. Keeping them separate is essential. The theorem in dimensions less than m will classify cones of dimension at most m, and these classifications will give a smooth link for a cone of dimension m+1.
For a varifold V, its weight measure is \|V\| and its total mass, when finite, is \mathbf M(V). For a smooth embedded submanifold S, write \mathbf v(S) for its associated varifold with multiplicity one. For an integral k-varifold in Euclidean space, [V] denotes the locally rectifiable flat chain with coefficients in \mathbb Z_2 obtained by reducing its integer multiplicity modulo two. We call V cyclic modulo two if \partial[V]=0 locally in the ambient open set. This convention applies to noncompact cones and their translates, using locally flat chains as in [33, §2.1 and Appendix].
6.1 Coning, density, and the radial factor
Lemma 6.1 (The cone operation). Let d\geq1 and let V be a stationary integral d-varifold in the unit sphere S^{d+1}. Its Euclidean cone \mathcal C(V) is a stationary integral (d+1)-varifold in \mathbb R^{d+2}, and
If V is a finite sum of smooth closed embedded minimal hypersurfaces with positive integer multiplicities, then \mathcal C(V) is cyclic modulo two.
Proof. At a spherical point x with tangent plane P\subset x^\perp, assign to rx the plane \mathbb Rx\oplus P and the measure r^d\,dr\,dV(x,P). This defines the cone and gives (6.1). The polar map is a diffeomorphism away from the origin; rectifiability and integer multiplicity there follow from the area formula. The origin has zero mass.
For stationarity, first take a smooth ambient field X supported away from the origin and write X(rx)=f(r,x)x+Y_r(x), where Y_r(x)\perp x. The trace of its derivative on the cone plane is
After multiplication by r^d and integration, the first two terms integrate to the endpoint values of r^df, and the last term vanishes by spherical stationarity for each r. Thus the cone is stationary off the origin. For a general compactly supported X, insert a radial cutoff that is zero on B_\varepsilon and one outside B_{2\varepsilon}, with derivative bounded by c/\varepsilon. Formula (6.1) bounds the omitted first-variation terms by c_X(\varepsilon^{d+1}+\varepsilon^d), which tends to zero.
For the last assertion, [\mathcal C(V)] has zero boundary on every annulus: an odd component multiplicity gives a smooth mod-two product cylinder, and an even multiplicity gives zero. Truncate this chain inside radius \varepsilon. Its difference from the full chain has mass at most \mathbf M(V)\varepsilon^{d+1}/(d+1), whereas its inner boundary has mass at most \mathbf M(V)\varepsilon^d. The truncated chains therefore converge locally flat to [\mathcal C(V)] and their boundaries converge locally flat to zero. Continuity of the boundary operator proves \partial[\mathcal C(V)]=0 also at the vertex.
We use the stationary monotonicity formula, tangent-cone existence, and integral-varifold closure of Allard [1, §5 and Theorem 6.4]; see also the formulations in [25, Chapter 4, §3] and [33, Theorem 3.2]. In particular, on a fixed open set, locally bounded mass and locally bounded first variation give a subsequence with an integral-varifold limit. For the stationary sequences below the first variation is identically zero. White’s convergence theorem then gives the additional implication
provided the masses are locally bounded. Indeed, Allard gives integrality of V; the first variations satisfy White’s local bound with bound zero; and the boundary chains converge to zero. These are precisely the hypotheses of [33, Definition 3.1 and Theorem 3.3]. The same statement applies after any translations and dilations, and hence to the blow-ups used below.
Lemma 6.2 (Density at every support point). Let V be a stationary integral k-varifold in an open set U\subset\mathbb R^n. At every z\in\spt\|V\|, \Theta(V,z)\geq1. If V=\mathcal C is a cone in all of \mathbb R^n, then
Every tangent cone at such a point is nonzero and has density \Theta(\mathcal C,z) at its vertex.
Proof. Integrality gives density at least one at \|V\|-almost every point. Every neighborhood of z has positive mass, so choose such points x_i\to z. If \overline{B_r(z)}\subset U and d_i=|x_i-z|<r, monotonicity at x_i and ball inclusion give
Let i\to\infty, then r\downarrow0. This proves the asserted lower bound also at support points that are exceptional for rectifiability.
For a cone, its homogeneous mass measure gives \|\mathcal C\|(B_R(0))=\omega_k\Theta(\mathcal C,0)R^k. For R>|z|, the inclusions
identify the limit of the mass ratios centered at z as R\to\infty with \Theta(\mathcal C,0). Monotonicity proves the upper bound in (6.3). Tangent-cone existence and the monotonicity formula give the stated tangent density, which is positive by the first part.
Lemma 6.3 (Splitting the radial line). Let k\geq2 and let \mathcal C be a stationary integral k-dimensional cone in \mathbb R^{k+1}. For 0\ne z\in\spt\|\mathcal C\|, every tangent cone T at z has the form
where W is a nonzero stationary integral (k-1)-dimensional cone in e^\perp\cong\mathbb R^k and
If \mathcal C is cyclic modulo two, so are T and W.
Proof. Write T_i=(\eta_{z,\rho_i})_\#\mathcal C\to T, where \eta_{z,\rho_i}(y)=(y-z)/\rho_i and \rho_i\downarrow0. For fixed b\in\mathbb R, dilation invariance of \mathcal C by the positive factors 1+b\rho_i implies invariance of T_i under
Passing to the limit shows that T is invariant under translation by bz. Its weight consequently disintegrates as \|T\|=\mathcal L^1\otimes\nu on \mathbb Re\oplus e^\perp.
We check that this is an integral varifold product. At almost every rectifiable point of T, a measure blow-up is an integer multiple of the measure on its approximate tangent plane. These blow-ups retain invariance under translations in the e-direction, so that plane contains e. The tangential Jacobian of the coordinate \pi(te+w)=t is therefore one almost everywhere. Rectifiable coarea gives, for almost every t, a (k-1)-rectifiable slice with the original integer multiplicities; its tangent plane is the intersection of the tangent plane of T with e^\perp. Product disintegration identifies the weight of this slice, after translation to e^\perp, with \nu. Thus \nu defines an integral varifold W and the tangent-plane identification gives T=\mathbf v(\mathbb Re)\times W as varifolds. Here we use rectifiable coarea [10, §3, p. 300].
For a compactly supported field Y on e^\perp and a compactly supported smooth function \chi on \mathbb R with \int\chi\ne0, test stationarity of T with X(te+w)=\chi(t)Y(w). Since Y is perpendicular to e,
Hence W is stationary. Dilation invariance of the tangent cone T and the product formula imply dilation invariance of W. Writing \theta=\Theta(W,0), integration over a ball gives
This proves (6.4); Lemma 6.2 makes W nonzero.
If \partial[\mathcal C]=0, every T_i is cyclic, and (6.2) implies \partial[T]=0. The mod-two slicing identity for the boundary [32, §3, equation (1) and Proposition 3.1] gives
where signs disappear modulo two. For the locally flat chain, apply the identity on a countable exhaustion by relatively compact regions; restriction compatibility gives one full-measure set of levels where it holds locally everywhere. Choose one such level where the preceding rectifiable slice description also holds. The slice there is the translate of [W] to te+e^\perp, because T is the product just established. Translation back proves \partial[W]=0. No assertion about whether zero is a good slicing level is needed.
For clarity, we also record the precise regularity consequence used in the dimension reduction.
Lemma 6.4 (A multiplicity-one planar tangent). Let V be a stationary integral k-varifold, k\geq2, in an open subset of Euclidean space. If one tangent cone at z is a multiplicity-one plane, then in a neighborhood of z, V is a smooth embedded minimal submanifold with multiplicity one.
Proof. Apply Allard’s interior regularity theorem [1, §8], in the formulation of [25, Chapter 5, hypotheses (5.1) and Theorem 5.2], on a sufficiently small rescaled ball from the sequence giving that tangent. Its hypotheses hold as follows. Integrality supplies the almost-everywhere density lower bound one. Stationarity supplies zero generalized mean curvature and zero first variation, hence the required mean-curvature bound for any exponent greater than k. Convergence to the multiplicity-one plane supplies normalized mass arbitrarily close to \omega_k and arbitrarily small height and tangent-plane excess on a fixed smaller ball. The center remains in the support. Allard’s theorem therefore gives a single C^{1,\alpha} graph near the center. On that connected graph the stationary integral multiplicity is constant; its tangent multiplicity is one, so the constant is one. The higher-regularity conclusion of [25, Chapter 5, Theorem 6.1], applied with the smoothly prescribed mean curvature identically zero, makes the graph smooth; that statement permits arbitrary codimension. This theorem has no stability hypothesis and no upper bound on k.
6.2 The cone induction
Proposition 6.5 (Low-density cones). Fix m\geq2 and assume Theorem 1.1 in dimensions 2,\ldots,m-1, with an empty assumption when m=2. Let \mathcal C be a nonzero stationary integral k-dimensional cone in \mathbb R^{k+1} such that
When m=2 or m=3, also assume that \mathcal C is cyclic modulo two. Then:
- (i)
if 1\leq k\leq m, \mathcal C is a multiplicity-one hyperplane;
- (ii)
if k=m+1, \mathcal C is smooth embedded with multiplicity one away from its vertex. Its link in S^{m+1} is a smooth closed connected embedded minimal hypersurface.
Proof. Hold m fixed throughout. We prove (i) by induction in k and then obtain (ii) from the final induction step.
An integral one-dimensional cone is a finite union of rays with positive integer weights: radial slicing of its conical rectifiable measure gives a zero-dimensional integral measure on the unit circle, and local finiteness makes its total weight finite. Write the distinct unit ray directions as u_j, their weights as q_j, and N=\sum_jq_j. Stationarity at the origin says
If m\geq4, Lemma 2.1 gives \vartheta_m\leq3/2, so the strict bound (6.5) gives N<3. Nonzero stationarity excludes N=1, leaving two opposite rays of weight one. If m=2 or 3, the same lemma gives \vartheta_m<2, hence N<4; cyclicity says that the boundary coefficient N at the origin is even. Again N=2 and balance gives a multiplicity-one line. This proves the base case in both branches.
Suppose next that 2\leq k\leq m+1 and that (i) has been proved in dimension k-1. At any nonzero support point z, Lemma 6.3 expresses a tangent as \mathbf v(\mathbb R)\times W. Its factor is nonzero, stationary and integral, is cyclic when required, and has density at most \Theta(\mathcal C,0)<\vartheta_m by Lemma 6.2. The induction hypothesis makes W a multiplicity-one plane. Thus this tangent of \mathcal C is a multiplicity-one plane, and Lemma 6.4 proves smooth embedded multiplicity-one structure near z.
It follows that \Lambda=\spt\|\mathcal C\|\cap S^k is a smooth closed embedded (k-1)-manifold. The radial direction lies in the cone tangent plane and is normal to the sphere, so this intersection is transverse. Polar coarea gives \mathcal C=\mathcal C(\mathbf v(\Lambda)) with multiplicity one. Reversing the angular first-variation calculation in Lemma 6.1 shows that \Lambda is minimal in S^k.
Each connected component \Lambda_j is compact and minimal, and its cone is stationary. Lemma 6.2 applied to that cone, together with (6.1), yields
Since the total cone density is less than \vartheta_m<2, there is only one component.
If k=2, a closed connected embedded minimal curve in S^2 is a great circle by the geodesic equation, so its cone is a plane. If 3\leq k\leq m and \Lambda were not totally geodesic, the outer induction in dimension k-1 would give
contrary to (6.5). Thus \Lambda is a great sphere and \mathcal C a multiplicity-one plane, completing (i). For k=m+1, the already proved plane assertion in dimension m gives exactly the smoothness and connectedness asserted in (ii). We do not apply the dimension-m volume statement to this last link.
Corollary 6.6 (Spherical stationary output). Under the outer induction hypothesis of Proposition 6.5, let V\ne0 be a stationary integral m-varifold in S^{m+1} with \mathbf M(V)<a_m. If m=2 or 3, assume additionally that \mathcal C(V) is cyclic modulo two; this holds, in particular, if V has smooth closed embedded support with integer component multiplicities. Then V=\mathbf v(\Sigma) for a smooth closed connected embedded minimal hypersurface \Sigma. If \mathbf M(V)>\sigma_m, this hypersurface is not an equator.
Proof. Lemma 6.1 and the mass bound put \mathcal C(V) under part (ii) of Proposition 6.5. Its smooth multiplicity-one link identifies V by the polar cone formula. An equator has area \sigma_m.
6.3 Exact attainment
Proposition 6.7 (A least counterexample). Fix m\geq2 and assume Theorem 1.1 in dimensions 2,\ldots,m-1. Suppose the class \mathcal E_m of smooth closed connected embedded minimal hypersurfaces \Sigma\subset S^{m+1} satisfying
is nonempty. Then
is attained by some \Sigma_*\in\mathcal E_m, and
Here \gamma_m is the detection gap from Lemma 4.4.
Proof. For every member of \mathcal E_m, the family of Proposition 5.1 is detecting and has maximum mass at most its area. Lemma 4.4 therefore gives \Vol(\Sigma)\geq\gamma_m>\sigma_m. Nonemptiness gives H<a_m, proving (6.7).
Choose \Sigma_i\in\mathcal E_m with areas H_i\to H and set \mathcal C_i=\mathcal C(\mathbf v(\Sigma_i)). These cones are stationary, integral, and cyclic by Lemma 6.1. Their exact masses satisfy
Consequently their masses are uniformly bounded on every compact set. Allard’s integral-varifold compactness theorem and a diagonal subsequence give a stationary integral limit \mathcal C in all of \mathbb R^{m+2}. Every fixed dilation leaves each \mathcal C_i invariant, so by continuity of pushforward it leaves \mathcal C invariant as well. White’s theorem in the form (6.2) gives \partial[\mathcal C]=0.
We verify that the limiting mass is exactly H at the spherical level. The weight of the conical limit is homogeneous of degree m+1. It has zero mass on every sphere of positive radius: otherwise dilation would produce infinitely many disjoint spheres with uniformly positive mass in a fixed compact annulus. Weak convergence can thus be evaluated on every centered ball. Passing to the limit in (6.8) yields
In particular \mathcal C is nonzero. This exact identity retains the infimum value; a lower-semicontinuity bound would not give the same conclusion by itself.
Proposition 6.5(ii) now makes the link \Sigma_*=\spt\|\mathcal C\|\cap S^{m+1} a smooth closed connected embedded minimal hypersurface, with multiplicity one. Its area is exactly H. The bounds \sigma_m<H<a_m exclude an equator and put \Sigma_* in \mathcal E_m, as required.
7 Proof of the volume theorem
Proof of Theorem 1.1. We induct on m\ge2. Fix m, assuming the theorem in dimensions 2,\ldots,m-1; this hypothesis is empty when m=2. By Proposition 2.2, every counterexample in dimension m would be a smooth closed connected embedded minimal hypersurface.
Suppose such counterexamples exist. Proposition 6.7 gives one of least area H, denoted by \Sigma, with
Set p=m+3. Proposition 3.5 gives \ind(\Sigma)\ge p. Equality would make \Sigma a minimal Clifford product and force H\ge a_m. Therefore \ind(\Sigma)>p.
By Proposition 5.1, there is a detecting family without mass concentration whose supremum mass D_1 satisfies D_1<H. Theorem 4.6 yields a stationary integral m-varifold V on S^{m+1} with
When m=2,3, choose the smooth embedded min–max output provided by that theorem, with its integer component multiplicities. Its Euclidean cone is cyclic modulo two by Lemma 6.1. In every higher dimension the cone is stationary and integral, which are the required hypotheses.
Corollary 6.6, using the outer induction hypothesis, now shows that V is a smooth connected embedded minimal hypersurface of multiplicity one. Its mass exceeds \sigma_m, so it is non-equatorial. It is therefore a counterexample with area strictly smaller than H, a contradiction.
This proves the embedded assertion in dimension m, and Proposition 2.2 gives the full immersion assertion. The induction proves the theorem for every m\ge2.
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