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Deformation of Contracting Maps under the Harmonic Map Heat Flow

Jia-Lin Hsu Department of Mathematics, National Taiwan University, Taipei, 106, Taiwan [email protected]  and  Mao-Pei Tsui Department of Mathematics, National Taiwan University, Taipei, 106, Taiwan; National Center for Theoretical Sciences, Mathematics Division, Taipei, 106, Taiwan [email protected]
Abstract.

We investigate the homotopy classes of maps between closed manifolds by studying certain contracting conditions on the singular values of the differential of the map. Building upon the work of Lee and Wan [6], we extend their results on 2-nonnegative maps to a more general class of k-nonnegative maps by exploiting the properties of submatrices and the linearity of the harmonic map heat flow. Our work establishes new rigidity theorems for maps between manifolds with specific curvature bounds and yields new homotopy rigidity results for maps between spheres and complex projective spaces.

1. Introduction

A fundamental question in geometry is to understand the relationship between the geometric properties of a map and its topological properties, such as its homotopy class. In recent years, there has been significant progress in this area, particularly in the study of maps between manifolds with specific curvature conditions.

For instance, Tsui-Wang [11] proved that area-decreasing maps between spheres are homotopically trivial, a result that has been extended to maps between complex projective spaces by Tsai-Tsui-Wang [10]. More recently, Lee-Tam-Wan [5] showed that area-nonincreasing self-maps of higher-dimensional complex projective spaces are either isometric or homotopically trivial. These results often rely on techniques involving mean curvature flow and the analysis of the evolution equations.

Lee-Wan [6] introduced a new class of contracting maps, which lie between area-nonincreasing and distance-nonincreasing maps. They used the harmonic map heat flow to study the rigidity properties of these maps, proving that under certain curvature conditions, such maps are either Riemannian submersions or homotopically trivial. One of their results is as follows:

Theorem 1.1 ([6], Theorem 1.2).

Let (Mm,g)(M^{m},g) and (Nn,h)(N^{n},h) be closed connected manifolds. Suppose

  1. (1)

    the sectional curvature KNK_{N} is positive;

  2. (2)

    RicM(v)RicN(w)\mathrm{Ric}_{M}(v)\geq\mathrm{Ric}_{N}(w) for any unit tangent vectors vv and ww in MM and NN, respectively.

Then, for every smooth map F:MNF:M\to N such that gFhg-F^{*}h is 22-nonnegative, FF is either a Riemannian submersion or homotopically trivial. In particular, NN is an Einstein manifold in the first case.

Lee and Wan [6] demonstrated that this contracting condition is preserved under the harmonic map heat flow when certain curvature conditions are met. They then characterized the limiting maps by analyzing the evolution inequalities. A crucial step in their work was establishing the preservation of the contracting condition through the linearity of the harmonic map heat flow, which allowed them to apply properties of the curvature submatrix and address problems involving two singular values.

By systematically analyzing how Lee and Wan utilized the properties of submatrices in their work, we extend their approach to encompass contracting conditions involving an arbitrary number kk of singular values.

Theorem 1.2.

Let (Mm,g)(M^{m},g) and (Nn,h)(N^{n},h) be closed manifolds, 3kn3\leq k\leq n. Suppose

  1. (1)

    the sectional curvature KNK_{N} is positive;

  2. (2)

    RicM(v)RicN(w)\mathrm{Ric}_{M}(v)\geq\mathrm{Ric}_{N}(w) for any unit tangent vectors vv and ww in MM and NN, respectively.

Denote the curvature pinching supKN/infKN\sup K_{N}/\inf K_{N} by κ1\kappa\geq 1. Then there exists a constant 2/k<ϕk(κ)12/k<\phi_{k}(\kappa)\leq 1 such that for every smooth map F:MNF:M\to N, if ϕk(κ)gFh\phi_{k}(\kappa)g-F^{*}h is kk-nonnegative, then either FF is homotopically trivial, or ϕ=1\phi=1 and FF is a Riemannian fiber bundle.

These are new preserved contracting conditions since constants ϕk(κ)\phi_{k}(\kappa) are always greater than 2/k2/k. On the other hand, for the contracting condition involving nn singular values, we have the following result:

Theorem 1.3.

Let (Mm,g)(M^{m},g) and (Nn,h)(N^{n},h) be a closed manifold. Suppose

  1. (1)

    NN is an Einstein manifold of positive sectional curvature and curvature pinching 22;

  2. (2)

    RicM(v)RicN(w)\mathrm{Ric}_{M}(v)\geq\mathrm{Ric}_{N}(w) for any unit tangent vectors vv and ww in MM and NN, respectively.

Then, for every smooth map F:MNF:M\to N such that |dF|2n|dF|^{2}\leq n, either FF is homotopically trivial, or FF is a Riemannian fiber bundle.

Therefore, for a smooth map F:(Sm,gSm)(Sn,gSn)F:(S^{m},g_{S^{m}})\to(S^{n},g_{S^{n}}) with mnm\geq n, if |dF|2n|dF|^{2}\leq n, then either FF an isometry or homotopically trivial. On the other hand, for maps between complex projective spaces, we have the following result:

Corollary 1.4.

Let F:(m,gFS)(n,gFS)F:(\mathbb{CP}^{m},g_{FS})\to(\mathbb{CP}^{n},g_{FS}), where mn2m\geq n\geq 2. If one of the following holds

  1. (i)

    λi2+λj2+λk22.5\lambda_{i}^{2}+\lambda_{j}^{2}+\lambda_{k}^{2}\leq 2.5 for every three singular values λi,λi\lambda_{i},\lambda_{i};

  2. (ii)

    |dF|2n+23|dF|^{2}\leq\frac{n+2}{3},

then FF is homotopically trivial.

Acknowledgement: The first named author would like to thank Professor Mu-Tao Wang, Professor Man-Chun Lee, and Jingbo Wan for valuable discussions. J.-L. Hsu and M.-P. Tsui are supported in part by the National Science and Technology Council grants 112-2115-M-002 -015 -MY3.

2. Preliminaries

2.1. A brief introduction to the harmonic map heat flow

For any smooth map F:(Mm,g)(Nn,h)F:(M^{m},g)\to(N^{n},h) between Riemannian manifolds, we define the tension field of FF to be the vector field τ(F):=trg(dF)\tau(F):=\mathrm{tr}_{g}(\nabla dF) along FF, which can be expressed as

τ(F)α=Fijαgij\tau(F)^{\alpha}=F^{\alpha}_{ij}g^{ij}

in local coordinates. Then we define a harmonic map heat flow Ft:MN(t[0,T))F_{t}:M\to N(t\in[0,T)) evolving from FF to be a solution to

Ftt=τ(Ft),F0=F.\frac{\partial F_{t}}{\partial t}=\tau(F_{t}),F_{0}=F.

When τ(F)=0\tau(F)=0, we say FF is a harmonic map. When MM and NN are closed manifolds, the short-time existence and uniqueness of the harmonic map heat flow have been proved in [1], and we can define the maximally extended harmonic map heat flow evolved from F0F_{0}.

By the standard parabolic PDE, we have the following priori estimates:

Proposition 2.1 ([2]).

For a harmonic map heat flow Ft:MN(t[0,T))F_{t}:M\to N(t\in[0,T)) from a closed manifold MM into a Riemannian manifold with bounded curvature, if |dFt||dF_{t}| is uniformly bounded, then the higher order derivatives are also uniformly bounded.

Thus, the long-time existence and subsequential convergence are guaranteed when |dFt||dF_{t}| is uniformly bounded.

Theorem 2.2.

Let MM and NN be closed manifolds, Ft:MN(t[0,T))F_{t}:M\to N(t\in[0,T)) a maximally extended harmonic map heat flow. If |dFt||dF_{t}| is uniformly bounded, then T=T=\infty, and there is tkt_{k}\to\infty such that FtkF_{t_{k}} smoothly converges to a harmonic map FF_{\infty}.

Proof.

By Proposition 2.1, derivatives of any orders of FF are uniformly bounded. Suppose T<T<\infty. Then by Arzelá-Ascoli theorem,

Gn:M×[T2,T]\displaystyle G_{n}:M\times[\frac{T}{2},T] N(n2)\displaystyle\to N(n\geq 2)
(p,t)\displaystyle(p,t) F(p,tTn)\displaystyle\mapsto F(p,t-\frac{T}{n})

subsequently converges to some harmonic map heat flow

G:M×[T2,T]N,G:M\times[\frac{T}{2},T]\to N,

which is compatible to GG on [T2,T)[\frac{T}{2},T). However, Ft:M×[0,T)NF_{t}:M\times[0,T)\to N is maximally extended, and it leads to a contradiction. Thus, T=T=\infty.

To prove the subsequently convergence, we consider

Hn:M×[0,1]\displaystyle H_{n}:M\times[0,1] N\displaystyle\to N
(p,s)\displaystyle(p,s) F(p,n+s)\displaystyle\mapsto F(p,n+s)

are uniformly bounded. By Arzelá-Ascoli theorem, FnF_{n} subsequently converges a harmonic map heat flow

H:M×[0,1]NH_{\infty}:M\times[0,1]\to N

of constant energy, so H0H_{0}, which is a subsequential limit of FtF_{t}, is harmonic. ∎

Whether the subsequential convergence can be enhanced to convergence remains unknown in general. This uniformity question has been studied in [7], [9], and [4]. We also prove this uniformity when the limiting maps are constant.

Proposition 2.3.

Let (Mm,g)(M^{m},g) be a closed manifold and Ft:MN(t[0,))F_{t}:M\to N(t\in[0,\infty)) a harmonic map heat flow with uniformly bounded energy density and subsequently smoothly converges to a constant map FF_{\infty}. Then {Ft}\{F_{t}\} converges smoothly to FF_{\infty}.

Proof.

First, we prove that FtF_{t} converges uniformly to FF_{\infty} by applying the maximum principle on ρp2Ft\rho_{p}^{2}\circ F_{t}, where ρp\rho_{p} denotes the distance function to pNp\in N. Let pp denote the image of FF_{\infty}. By direct computation, the evolution equation of ρp2Ft\rho_{p}^{2}\circ F_{t} is

(tΔ)ρp2Ft\displaystyle\left(\frac{\partial}{\partial t}-\Delta\right)\rho_{p}^{2}\circ F_{t} =(ρp2)αFαt((ρp2)αFiα)jgij\displaystyle=(\rho_{p}^{2})_{\alpha}\frac{\partial F^{\alpha}}{\partial t}-\left((\rho_{p}^{2})_{\alpha}F^{\alpha}_{i}\right)_{j}g^{ij}
=(ρp2)αFαt(ρp2)αβFiαFjβgij(ρp2)αFijαgij\displaystyle=(\rho^{2}_{p})_{\alpha}\frac{\partial F^{\alpha}}{\partial t}-(\rho^{2}_{p})_{\alpha\beta}F^{\alpha}_{i}F^{\beta}_{j}g^{ij}-(\rho_{p}^{2})_{\alpha}F^{\alpha}_{ij}g^{ij}
=(ρp2)αβFiαFjβgij.\displaystyle=-(\rho^{2}_{p})_{\alpha\beta}F^{\alpha}_{i}F^{\beta}_{j}g^{ij}.

Since (ρp2)αβ=2hαβ(\rho^{2}_{p})_{\alpha\beta}=2h_{\alpha\beta} at pp, there is a geodesic ball BR(p)B_{R}(p) such that (ρp2)αβ(\rho^{2}_{p})_{\alpha\beta} is positive definite on it, and we have

(tΔ)ρp2Ft0.\left(\frac{\partial}{\partial t}-\Delta\right)\rho_{p}^{2}\circ F_{t}\leq 0.

Therefore, supρp2Ft\sup\rho_{p}^{2}\circ F_{t} is monotone decreasing when Ft(M)BR(p)F_{t}(M)\subset B_{R}(p), and FtF_{t} uniformly converges to FF_{\infty}. Consequently, the subsequential limit of FtF_{t} is unique.

By Proposition 2.1, any sequence tkt_{k} always admits a smoothly convergent FtkF_{t_{k_{\ell}}}, so we derive the smooth convergence. ∎

When the limiting map FF_{\infty} has the same Dirichlet energy as the initial map FF, the deformation of harmonic map heat flow can also be characterized explicitly.

Proposition 2.4.

Let (Mm,g)(M^{m},g) and (Nn,h)(N^{n},h) be closed connected manifolds, F:MNF:M\to N a smooth map. If the harmonic map heat flow Ft:MN(t[0,))F_{t}:M\to N(t\in[0,\infty)) subsequently smoothly converges to a harmonic map FF_{\infty} with E(F)=E(F)E(F_{\infty})=E(F), then F=FF=F_{\infty}.

Proof.

Since the harmonic map heat flow is the gradient descent of Dirichlet energy, for any harmonic map heat flow Ft:MN(t[T1,T2])F_{t}:M\to N(t\in[T_{1},T_{2}]), if E(FT1)=E(FT2)E(F_{T_{1}})=E(F_{T_{2}}), then FtF_{t} is time independent.

Now, let tkt_{k} be a sequence increasing to \infty such that FtkF_{t_{k}} smoothly converges to FF_{\infty}. Then E(Ftk)E(F_{t_{k}}) is a sequence decreasing to E(F)E(F_{\infty}) and bounded above by E(F)=E(F)E(F)=E(F_{\infty}), and thus E(Ftk)=E(F)E(F_{t_{k}})=E(F) for all kk.

According to the case of closed intervals, Ftk=FF_{t_{k}}=F. Consequently, F=FF=F_{\infty}. ∎

2.2. Evolution equations

We aim to establish time-independent upper bounds for energy density to prove the long-time existence and convergence of harmonic map heat flow. Therefore, we are concerned with the evolution equation of pull-back metric and energy density.

The following evolution equation can be found in [5].

Proposition 2.5.

For a harmonic map heat flow Ft:(Mm,g)(Nn,h)(t[0,T))F_{t}:(M^{m},g)\to(N^{n},h)(t\in[0,T)),

((tΔ)Fh)ij=\displaystyle\left(\left(\frac{\partial}{\partial t}-\Delta\right)F^{*}h\right)_{ij}= (RicM)i(Fh)j(RicM)j(Fh)i+2(FRN)kijgk\displaystyle-(\mathrm{Ric}_{M})_{i}^{\ell}(F^{*}h)_{\ell j}-(\mathrm{Ric}_{M})_{j}^{\ell}(F^{*}h)_{\ell i}+2(F^{*}R_{N})_{kij\ell}g^{k\ell}
2gkFikαFjβhαβ,\displaystyle-2g^{k\ell}F^{\alpha}_{ik}F^{\beta}_{j\ell}h_{\alpha\beta},

therefore,

(tΔ)e(F)=|dF|2(RicM)ijFiαFjβhαβ+(FRN)kijgkgij.\left(\frac{\partial}{\partial t}-\Delta\right)e(F)=-|\nabla dF|^{2}-(\mathrm{Ric}_{M})^{ij}F_{i}^{\alpha}F_{j}^{\beta}h_{\alpha\beta}+(F^{*}R_{N})_{kij\ell}g^{k\ell}g^{ij}.

To simplify the evolution equation and apply the tensor maximum principle, we need to consider the frame of singular value decomposition (SVD frame), first introduced by M.T. Wang in [12] for studying graphical mean curvature flow.

Formally speaking, for a 𝒞2\mathcal{C}^{2}-map F:(Mm,g)(Nn,h)F\colon(M^{m},g)\to(N^{n},h) between Riemannian manifolds, we say a singular value decomposition frame (SVD frame) is a pair of orthonormal frames of TMTM and FTNF^{*}TN such that Fiα=λiδiαF^{\alpha}_{i}=\lambda_{i}\delta^{\alpha}_{i} is diagonalized and λ1λm0\lambda_{1}\geq\cdots\geq\lambda_{m}\geq 0. For convenience, we also let 0=λm+1=λm+2=0=\lambda_{m+1}=\lambda_{m+2}=\cdots. Be aware that a SVD frame is not necessary smooth.

Corollary 2.6.

For a harmonic map heat flow Ft:(Mm,g)(Nn,h)(t[0,T))F_{t}:(M^{m},g)\to(N^{n},h)(t\in[0,T)), with respect to a SVD frame,

((tΔ)Fh)ii\displaystyle\left(\left(\frac{\partial}{\partial t}-\Delta\right)F^{*}h\right)_{ii}\leq 2(RicM)iiλi2+2j=1min(n,m)(KN)ijλi2λj2,\displaystyle-2(\mathrm{Ric}_{M})_{ii}\lambda_{i}^{2}+2\sum_{j=1}^{\min(n,m)}(K_{N})_{ij}\lambda_{i}^{2}\lambda_{j}^{2},

where the equality holds at (p,t)(p,t) when FF is totally geodesic at it, and

(tΔ)e(F)=|dF|2i=1min(n,m)(RicM)iiλi2+i,j=1min(n,m)(KN)ijλi2λj2\left(\frac{\partial}{\partial t}-\Delta\right)e(F)=-|\nabla dF|^{2}-\sum_{i=1}^{\min(n,m)}(\mathrm{Ric}_{M})_{ii}\lambda_{i}^{2}+\sum_{i,j=1}^{\min(n,m)}(K_{N})_{ij}\lambda_{i}^{2}\lambda_{j}^{2}
Proof.

It follows from Proposition 2.5 directly. ∎

In this formula, the concept of partial Ricci curvatures naturally arises, which was first introduced by Z.M. Shen in [8] and H. Wu in [13]. We also introduce the positive part of partial Ricci curvature, which will be used later.

Definition 2.7.

For a Riemannian manifold NN and orthonormal vectors v0,v1,,vqv_{0},v_{1},\ldots,v_{q} in some tangent space TpNT_{p}N, we define the partial qq-Ricci curvature to be

RicNq(v0;v1,,vq):=i=1qRN(v0,vi,vi,v0)\mathrm{Ric}_{N}^{q}(v_{0};v_{1},\ldots,v_{q}):=\sum_{i=1}^{q}R_{N}(v_{0},v_{i},v_{i},v_{0})

and the positive part of partial qq-Ricci curvature to be

(RicNq)+(v0;v1,,vq):=i=1qmax(0,RN(v0,vi,vi,v0))(\mathrm{Ric}_{N}^{q})_{+}(v_{0};v_{1},\ldots,v_{q}):=\sum_{i=1}^{q}\max(0,R_{N}(v_{0},v_{i},v_{i},v_{0}))

For a subspace Wq+1TpNW^{q+1}\leq T_{p}N, we can also define the partial qq-Ricci curvature to be a symmetric bilinear form on Wq+1W^{q+1} whose associated quadratic form Ricq(v;W)\mathrm{Ric}^{q}(v;W) is defined by

vi=1q+1RN(v,vi,vi,v)v\mapsto\sum_{i=1}^{q+1}R_{N}(v,v_{i},v_{i},v)

where v1,,vq+1v_{1},\ldots,v_{q+1} is an orthonormal basis of WW.

3. Convergence Results

This section aims to generalize convergence and rigidity results in [6] by describing crucial pointwise curvature conditions for target manifolds. This allows us to generalize their result to various curvature or contracting conditions.

We first show that the kk-nonnegativity of ϕgFh\phi g-F^{*}h is preserved through the tensor maximum principle(Proposition 6.1). Let’s look at the evolution equation of the pull-back metric. If the Ricci tensor RicM\mathrm{Ric}_{M} of MM is bounded below by a constant c>0c>0, then λi2(RicM)iiλi2c\lambda_{i}^{2}(\mathrm{Ric}_{M})_{ii}\geq\lambda_{i}^{2}c; if there is a matrix K~ij\tilde{K}_{ij} such that K~ij(KN)ij:=RN(vi,vj,vj,vi)\tilde{K}_{ij}\geq(K_{N})_{ij}:=R_{N}(v_{i},v_{j},v_{j},v_{i}), then λi2λj2(KN)ijλi2λj2K~ij-\lambda_{i}^{2}\lambda_{j}^{2}(K_{N})_{ij}\geq-\lambda_{i}^{2}\lambda_{j}^{2}\tilde{K}_{ij}; furthermore, if jK~ijc\sum_{j}\tilde{K}_{ij}\leq c, these terms can be further simplified to

λi2(RicM)iijλi2λj2(KN)ijλi2jK~ij(1λj2).\lambda_{i}^{2}(\mathrm{Ric}_{M})_{ii}-\sum_{j}\lambda_{i}^{2}\lambda_{j}^{2}(K_{N})_{ij}\geq\lambda_{i}^{2}\sum_{j}\tilde{K}_{ij}(1-\lambda_{j}^{2}).

Therefore, if K~ij\tilde{K}_{ij} has sufficiently good properties, we can prove this monotonicity result. Specifically, the properties we need are as follows:

Definition 3.1.

Let 0<ϕ1,c>00<\phi\leq 1,c>0 be fixed constants, 2k2\leq k\leq\ell fixed integers.

  1. (a)

    For any symmetric matrix K~M×()\tilde{K}\in M_{\ell\times\ell}(\mathbb{R}) with non-negative entries, if the following conditions hold, then we say K~\tilde{K} satisfies the condition σ(k,,c;ϕ)\sigma(k,\ell,c;\phi).

    • K~11==K~=0\tilde{K}_{11}=\cdots=\tilde{K}_{\ell\ell}=0;

    • i=1K~ijc\sum_{i=1}^{\ell}\tilde{K}_{ij}\leq c;

    • for every vector u(0)ku\in(\mathbb{R}_{\geq 0})^{k} with u1++ukϕku_{1}+\cdots+u_{k}\leq\phi\cdot k and every principal k×kk\times k-submatrix AA of K~\tilde{K},

      utA(𝟙ku)0,()u^{t}A(\mathds{1}_{k}-u)\geq 0,\ \ \ -(*)

      where 𝟙kMk×1()\mathds{1}_{k}\in M_{k\times 1}(\mathbb{R}) denotes the column vector with all entries equal to 1.

  2. (b)

    When k=k=\ell and the equality in (*) holds if and only if u=0u=0 or u=ϕ𝟙u=\phi\cdot\mathds{1}_{\ell}, then we say K~\tilde{K} satisfies the strong condition σ(,,c;ϕ)\sigma(\ell,\ell,c;\phi). When k<k<\ell, and the equality in (*) holds if and only if u=0u=0 or u1++uk=ϕku_{1}+\cdots+u_{k}=\phi\cdot k, we also say K~\tilde{K} satisfies the strong condition σ(k,,c;ϕ)\sigma(k,\ell,c;\phi).

  3. (c)

    For a Riemannian manifold NnN^{n}, we say NN satisfies the (strong) condition σ(k,,c;ϕ)\sigma(k,\ell,c;\phi) if for any set of \ell orthonormal vectors {v1,,v}\{v_{1},\ldots,v_{\ell}\} within a tangent space TpNT_{p}N of NN, there exists a matrix K~ij\tilde{K}_{ij} satisfying the (strong) condition σ(k,,c;ϕ)\sigma(k,\ell,c;\phi) such that K~ij(KN)ij:=RN(vi,vj,vj,vi)\tilde{K}_{ij}\geq(K_{N})_{ij}:=R_{N}(v_{i},v_{j},v_{j},v_{i}).

We denote σ(k,,c;1)\sigma(k,\ell,c;1) by σ(k,,c)\sigma(k,\ell,c) as an abbreviation.

According to the definition, conditions σ\sigma yield upper bounds for positive part of partial Ricci curvature.

Lemma 3.2.

If (Nn,h)(N^{n},h) is a manifold satisfying the condition σ(k,,c;ϕ)\sigma(k,\ell,c;\phi), then (RicN1)+c(\mathrm{Ric}_{N}^{\ell-1})_{+}\leq c.

Proof.

For every orthonormal vectors v1,,vv_{1},\ldots,v_{\ell} in TpNT_{p}N, let K~\tilde{K} be a matrix satisfying the condition σ\sigma and K~KN\tilde{K}\geq K_{N}. Then we have

(RicN1)+(v1;v2,,v)=i=2max(KN(v1,vi),0)i=2K~1ic.(\mathrm{Ric}_{N}^{\ell-1})_{+}(v_{1};v_{2},\ldots,v_{\ell})=\sum_{i=2}^{\ell}\max(K_{N}(v_{1},v_{i}),0)\leq\sum_{i=2}^{\ell}\tilde{K}_{1i}\leq c.

The following key lemma establishes the preserved condition in our theory.

Lemma 3.3.

Let (Mm,g)(M^{m},g) and (Nn,h)(N^{n},h) be closed connected manifolds. Assume RicMc\mathrm{Ric}_{M}\geq c and that NN satisfies the condition σ(k,,c;ϕ)\sigma(k,\ell,c;\phi) for some min(n,m)n\min(n,m)\leq\ell\leq n. Then λ12++λk2ϕk\lambda_{1}^{2}+\cdots+\lambda_{k}^{2}\leq\phi k is preserved under the harmonic map heat flow.

Proof.

First, consider the SVD frame of FF on MM. Then the min(k,m)\min(k,m)-nonnegativity of α\alpha is equivalent to λ12++λk2kϕ\lambda_{1}^{2}+\cdots+\lambda_{k}^{2}\leq k\cdot\phi.

By the tensor maximum principle (Proposition 6.1), it suffices to show that if α\alpha is min(k,m)\min(k,m)-nonnegative, then i=1min(k,m)((tΔ)α)ii0\sum_{i=1}^{\min(k,m)}\left(\left(\frac{\partial}{\partial t}-\Delta\right)\alpha\right)_{ii}\geq 0. By Corollary 2.6,

i=1min(k,m)((tΔ)α)ii\displaystyle\sum_{i=1}^{\min(k,m)}\left(\left(\frac{\partial}{\partial t}-\Delta\right)\alpha\right)_{ii} 2i=1min(k,m)λi2(RicM)ii2i=1kj=1λi2K~ijλj2\displaystyle\geq 2\sum_{i=1}^{\min(k,m)}\lambda_{i}^{2}(\mathrm{Ric}_{M})_{ii}-2\sum_{i=1}^{k}\sum_{j=1}^{\ell}\lambda_{i}^{2}\tilde{K}_{ij}\lambda_{j}^{2}
2i=1kj=1λi2K~ij(1λj2)\displaystyle\geq 2\sum_{i=1}^{k}\sum_{j=1}^{\ell}\lambda_{i}^{2}\tilde{K}_{ij}(1-\lambda_{j}^{2})

Since λ12++λk2ϕk\lambda_{1}^{2}+\cdots+\lambda_{k}^{2}\leq\phi\cdot k, λk+1,,λϕ1\lambda_{k+1},\ldots,\lambda_{\ell}\leq\phi\leq 1. Therefore, according to the definition of condition σ\sigma,

i=1k((tΔ)α)ii\displaystyle\sum_{i=1}^{k}\left(\left(\frac{\partial}{\partial t}-\Delta\right)\alpha\right)_{ii} i,jkλi2K~ij(1λj2)0,\displaystyle\geq\sum_{i,j}^{k}\lambda_{i}^{2}\tilde{K}_{ij}(1-\lambda_{j}^{2})\geq 0,

and the min(k,m)\min(k,m)-nonnegativity of α:=ϕgFh\alpha:=\phi\cdot g-F^{*}h is preserved under the harmonic map heat flow. ∎

The preservation of min(k,m)\min(k,m)-nonnegativity of α\alpha yields an upper bound for energy density, and hence the higher order derivatives are bounded by the regularity theory of harmonic map heat flow.

Theorem 3.4 ([2], Theorem 2.2).

Let Ft:(M,g)(N,h)(t[0,T))F_{t}:(M,g)\to(N,h)(t\in[0,T)) be a maximal extended harmonic map heat flow of a closed manifold into another closed manifold NN. If |dF||dF| is uniformly bounded, then T=T=\infty and the norms of the higher order derivatives |(k1)dF||\nabla^{(k-1)}dF| are also uniformly bounded.

Therefore, the long-time existence and convergence follow are proved.

Proposition 3.5.

Let (Mm,g)(M^{m},g) and (Nn,h)(N^{n},h) be closed connected manifolds. Assume RicMc\mathrm{Ric}_{M}\geq c and NN satisfies the condition σ(k,,c;ϕ)\sigma(k,\ell,c;\phi) for some min(n,m)\ell\geq\min(n,m). Then for every smooth map F:MNF\colon M\to N with λ12++λk2ϕk\lambda_{1}^{2}+\cdots+\lambda_{k}^{2}\leq\phi k, the harmonic map heat flow FtF_{t} exists for all time, and there is a sequence tkt_{k}\to\infty such that FtkF_{t_{k}} smoothly converges to a harmonic map FF_{\infty} with λ12++λk2ϕk\lambda_{1}^{2}+\cdots+\lambda_{k}^{2}\leq\phi k.

Proof.

By Theorem 3.4 and Lemma 3.3, the higher-order derivatives of FtF_{t} are uniformly bounded, hence there is a sequence tkt_{k}\to\infty such that FtkF_{t_{k}} smoothly converges to a harmonic map FF_{\infty} by Arzelà-Ascoli Theorem. Moreover, since FtkF_{t_{k}} converges smoothly to FF_{\infty}, this inequality λ12++λk2ϕk\lambda_{1}^{2}+\cdots+\lambda_{k}^{2}\leq\phi k also applies to FF_{\infty}. ∎

We can further characterize this limit by using the equality condition in the inequality.

Lemma 3.6.

Let (Mm,g)(M^{m},g) and (Nn,h)(N^{n},h) be closed connected manifolds. Assume RicMc\mathrm{Ric}_{M}\geq c and that NN satisfies the condition σ(k,,c;ϕ)\sigma(k,\ell,c;\phi) for some min(n,m)\ell\geq\min(n,m). Then for every harmonic map F:MNF\colon M\to N with λ12++λk2ϕk\lambda_{1}^{2}+\cdots+\lambda_{k}^{2}\leq\phi k and a SVD frame of FF at pp, we have

  1. (i)

    (dF)p=0(\nabla dF)_{p}=0;

  2. (ii)

    ((RicM)iic)λi2=0((\mathrm{Ric}_{M})_{ii}-c)\lambda_{i}^{2}=0 for all 1imin(n,m)1\leq i\leq\min(n,m);

  3. (iii)

    i,jIλi2K~ij(1λj2)=0\sum_{i,j\in I}\lambda_{i}^{2}\tilde{K}_{ij}(1-\lambda_{j}^{2})=0 for every I{1,,}I\subset\{1,\ldots,\ell\} containing kk indices and K~ij\tilde{K}_{ij} is the matrix satisfying the condition σ\sigma such that K~ijKN\tilde{K}_{ij}\geq K_{N};

  4. (iv)

    λi2(K~ij(KN)ij)λj2=0\lambda_{i}^{2}(\tilde{K}_{ij}-(K_{N})_{ij})\lambda_{j}^{2}=0 for every 1i,j1\leq i,j\leq\ell.

Proof.

Since FF is harmonic, Ft=FF_{t}=F is a harmonic map heat flow. Consider the SVD frame of FF on MM. By Corollary 2.6,

0\displaystyle 0 =M(tΔ)e(Ft)\displaystyle=\int_{M}\left(\frac{\partial}{\partial t}-\Delta\right)e(F_{t})
=M(|dF|2i=1min(n,m)λi2(RicM)ii+i,j=1min(n,m)λi2λj2(KN)ij)\displaystyle=\int_{M}\left(-|\nabla dF|^{2}-\sum_{i=1}^{\min(n,m)}\lambda_{i}^{2}(\mathrm{Ric}_{M})_{ii}+\sum_{i,j=1}^{\min(n,m)}\lambda_{i}^{2}\lambda_{j}^{2}(K_{N})_{ij}\right)
=M(|dF|2i=1min(n,m)λi2((RicM)iic)i=1cλi2i,j=1λi2λj2(K~ij(KN)ij)+i,j=1λi2λj2(K~ij))\displaystyle=\int_{M}\left(-|\nabla dF|^{2}-\sum_{i=1}^{\min(n,m)}\lambda_{i}^{2}((\mathrm{Ric}_{M})_{ii}-c)-\sum_{i=1}^{\ell}c\lambda_{i}^{2}-\sum_{i,j=1}^{\ell}\lambda_{i}^{2}\lambda_{j}^{2}(\tilde{K}_{ij}-(K_{N})_{ij})+\sum_{i,j=1}^{\ell}\lambda_{i}^{2}\lambda_{j}^{2}(\tilde{K}_{ij})\right)
M(|dF|2i=1min(n,m)λi2((RicM)iic)i,j=1λi2λj2(K~ij(KN)ij)i,j=1λi2K~ij(1λj2))\displaystyle\leq\int_{M}\left(-|\nabla dF|^{2}-\sum_{i=1}^{\min(n,m)}\lambda_{i}^{2}((\mathrm{Ric}_{M})_{ii}-c)-\sum_{i,j=1}^{\ell}\lambda_{i}^{2}\lambda_{j}^{2}(\tilde{K}_{ij}-(K_{N})_{ij})-\sum_{i,j=1}^{\ell}\lambda_{i}^{2}\tilde{K}_{ij}(1-\lambda_{j}^{2})\right)
M(|dF|2i=1min(n,m)λi2((RicM)iic)i,j=1λi2λj2(K~ij(KN)ij)i,j=1λi2λj2(K~ij(KN)ij))\displaystyle\leq\int_{M}\left(-|\nabla dF|^{2}-\sum_{i=1}^{\min(n,m)}\lambda_{i}^{2}((\mathrm{Ric}_{M})_{ii}-c)-\sum_{i,j=1}^{\ell}\lambda_{i}^{2}\lambda_{j}^{2}(\tilde{K}_{ij}-(K_{N})_{ij})-\sum_{i,j=1}^{\ell}\lambda_{i}^{2}\lambda_{j}^{2}(\tilde{K}_{ij}-(K_{N})_{ij})\right)
MCI{1,,},#I=ki,jIλi2K~ij(1λj2)0\displaystyle-\int_{M}C\sum_{I\subset\{1,\ldots,\ell\},\#I=k}\sum_{i,j\in I}\lambda_{i}^{2}\tilde{K}_{ij}(1-\lambda_{j}^{2})\leq 0

where C:=(2k2)1C:={\binom{\ell-2}{k-2}}^{-1}. Each term in the last two rows is non-positive, so they are all zero by the monotonicity. ∎

Therefore, we can obtain one rigidity result under condition σ\sigma.

Theorem 3.7.

Let (Mm,g)(M^{m},g) and (Nn,h)(N^{n},h) be closed connected manifolds. Assume RicMc\mathrm{Ric}_{M}\geq c with strict inequality (RicM)p0>c(\mathrm{Ric}_{M})_{p_{0}}>c at some p0Mp_{0}\in M and NN satisfies the condition σ(k,,c;ϕ)\sigma(k,\ell,c;\phi) for some min(n,m)\ell\geq\min(n,m). Then for every smooth map F:MNF\colon M\to N with λ12++λk2ϕk\lambda_{1}^{2}+\cdots+\lambda_{k}^{2}\leq\phi k, the harmonic map heat flow Ft:MN(t[0,))F_{t}\colon M\to N(t\in[0,\infty)) exists for all time and converges to a constant map smoothly.

Proof.

Let FF_{\infty} denote the harmonic map in Proposition 3.5. By Lemma 3.6, (dF)p=0(dF_{\infty})_{p}=0. Since FF_{\infty} is totally geodesic, it follows that FF_{\infty} is a constant map. We thus obtain a homotopy FtF_{t} between F=F0F=F_{0} and constant map FF_{\infty} by Proposition 2.3. ∎

The boundary case can be further characterized under the strong condition σ\sigma.

Lemma 3.8.

Let (Mm,g)(M^{m},g) and (Nn,h)(N^{n},h) be closed connected manifolds. Assume RicMc\mathrm{Ric}_{M}\geq c and NN satisfies the strong condition σ(k,,c;ϕ)\sigma(k,\ell,c;\phi) for some min(n,m)\ell\geq\min(n,m). Then for every harmonic map F:MNF\colon M\to N with λ12++λk2ϕk\lambda_{1}^{2}+\cdots+\lambda_{k}^{2}\leq\phi k,

  1. (i)

    either ϕ=1,=min(n,m)\phi=1,\ell=\min(n,m) and FF is a totally geodesic Riemannian subimmersion;

  2. (ii)

    or FF is a constant map.

Proof.

If FF is constant, then the proof is done, so we assume FF is non-constant in the following discussion.

We first show that F:(M,ϕg)(N,h)F\colon(M,\phi\cdot g)\to(N,h) is a totally geodesic Riemannian subimmersion. By Lemma 3.6, FF is totally geodesic, so it remains to show that at each point, the first min(m,n)\min(m,n) singular values are either all ϕ\phi or 0.

Consider the SVD frame of FF on MM and K~ij\tilde{K}_{ij} used in the condition σ\sigma of NN. By Lemma 3.6, for any I{1,,}I\subset\{1,\ldots,\ell\} containing kk elements, i,jIλi2K~ij(1λj2)=0\sum_{i,j\in I}\lambda_{i}^{2}\tilde{K}_{ij}(1-\lambda_{j}^{2})=0. We discuss the case k=k=\ell and k<k<\ell separately. When k=k=\ell, our claim holds by definition. When k<k<\ell, since λi12++λik2=kϕ\lambda_{i_{1}}^{2}+\cdots+\lambda_{i_{k}}^{2}=k\phi or 0, λ12λ2=kϕ\lambda_{1}^{2}-\lambda_{\ell}^{2}=k\phi or λ12λ2=0\lambda_{1}^{2}-\lambda_{\ell}^{2}=0. If λ1=λ\lambda_{1}=\lambda_{\ell}, then it’s done. We are going to show the other case is impossible. In this case, since λ12kϕ\lambda_{1}^{2}\geq k\phi, it follows λ12=kϕ\lambda_{1}^{2}=k\phi, λ22==λ2=0\lambda_{2}^{2}=\cdots=\lambda_{\ell}^{2}=0. However, evaluating the original evolution equation of energy density yields:

0=MΔe(Ft)=Mkϕ(RicM)11Mkϕc>0,\displaystyle 0=\int_{M}\Delta e(F_{t})=\int_{M}k\phi(\mathrm{Ric}_{M})_{11}\geq\int_{M}k\phi c>0,

which leads to a contradiction. Thus, λ1=λ\lambda_{1}=\lambda_{\ell} always holds. Since λ0\lambda_{\ell}\neq 0, we have =min(n,m)\ell=\min(n,m).

By Corollary 2.6, we have

0Mcϕmin(n,m)+cϕ2min(n,m)=Mcmin(n,m)ϕ(ϕ1)0,0\leq\int_{M}-c\phi\min(n,m)+c\phi^{2}\min(n,m)=\int_{M}c\min(n,m)\phi(\phi-1)\leq 0,

and thus ϕ=1\phi=1.

The following proposition simplifies the discussion concerning Riemannian submersions between closed manifolds.

Proposition 3.9 (R. Hermann, [3], Theorem 1).

Totally geodesic Riemannian submersions between closed manifolds are Riemannian fiber bundles.

Proof.

Thus, we can prove another rigidity result under strong condition σ\sigma.

Theorem 3.10.

Let (Mm,g)(M^{m},g) and (Nn,h)(N^{n},h) be closed connected manifolds. Assume RicMc\mathrm{Ric}_{M}\geq c and NN satisfies the strong condition σ(k,,c;ϕ)\sigma(k,\ell,c;\phi) for some min(n,m)n\min(n,m)\leq\ell\leq n. Then for every smooth map F:MNF\colon M\to N with λ12++λk2ϕk\lambda_{1}^{2}+\cdots+\lambda_{k}^{2}\leq\phi k, one of the following holds:

  1. (i)

    ϕ=1,=n\phi=1,\ell=n, and F:(M,g)(N,h)F\colon(M,g)\to(N,h) is a Riemannian fiber bundle, where RicN=c\mathrm{Ric}_{N}=c and KN0K_{N}\geq 0;

  2. (ii)

    ϕ=1,=m\phi=1,\ell=m, and F:(M,g)(N,h)F\colon(M,g)\to(N,h) is a totally geodesic isometric immersion with RicM=c\mathrm{Ric}_{M}=c;

  3. (iii)

    the harmonic map heat flow Ft:MN(t[0,))F_{t}\colon M\to N(t\in[0,\infty)) exists for all time and converges to a constant map smoothly.

Proof.

By Proposition 3.5 and Lemma 3.8, the harmonic map heat flow Ft(t[0,))F_{t}(t\in[0,\infty)) exists for all time and subsequently converges to some FF_{\infty}, which is a Riemannian subimmersion or a constant map. When FF_{\infty} is constant, case (iii) holds by Proposition 2.3. Therefore, assume F:(M,ϕg)(N,h)F_{\infty}:(M,\phi\cdot g)\to(N,h) is a Riemannian subimmersion from now on.

We claim that E(F)E(F)E(F)\leq E(F_{\infty}). If so, then F=FF=F_{\infty} by Proposition 2.4. By direct computation, we have e(F)g,h=min(n,m)2e(F_{\infty})_{g,h}=\frac{\min(n,m)}{2}. On the other hand, since λ12++λk2k\lambda_{1}^{2}+\cdots+\lambda_{k}^{2}\leq k, e(F)min(n,m)2e(F)\leq\frac{\min(n,m)}{2}, and

E(F)=Me(F)𝑑volMMe(F)𝑑volM=E(F).E(F)=\int_{M}e(F)d\mathrm{vol}_{M}\leq\int_{M}e(F_{\infty})d\mathrm{vol}_{M}=E(F_{\infty}).

The last step is to establish the rigidity of curvature. When mnm\geq n, by Lemma 3.2, (KN)ijK~ij0(K_{N})_{ij}\geq\tilde{K}_{ij}\geq 0 and

c\displaystyle c sup(RicNn1)+inf(RicNn1)+infRicNn1\displaystyle\geq\sup(\mathrm{Ric}_{N}^{n-1})_{+}\geq\inf(\mathrm{Ric}_{N}^{n-1})_{+}\geq\inf\mathrm{Ric}_{N}^{n-1}
(since FF is totally geodesic) infRicM\displaystyle\geq\inf\mathrm{Ric}_{M}
c.\displaystyle\geq c.

Therefore, RicN=c=RicNn1\mathrm{Ric}_{N}=c=\mathrm{Ric}^{n-1}_{N}. By Proposition 3.9, FF is a Riemannian fiber bundle; on the other hand, when mnm\leq n

c\displaystyle c infRicMsupRicM\displaystyle\leq\inf\mathrm{Ric}_{M}\leq\sup\mathrm{Ric}_{M}
(since FF is totally geodesic) supRicNmin(n,m)1\displaystyle\leq\sup\mathrm{Ric}_{N}^{\min(n,m)-1}
c,\displaystyle\leq c,

so RicM=c\mathrm{Ric}_{M}=c. ∎

4. Contracting Conditions

In this section, we study which conditions σ\sigma are satisfied under different curvature conditions, focusing on the curvature pinching conditions.

Let us consider the case of k=2k=2 as an example, which has been investigated in [5]. Let K~M×()\tilde{K}\in M_{\ell\times\ell}(\mathbb{R}) be a symmetric matrix with non-negative entries satisfying K~11==K~=0,i=1K~ijc\tilde{K}_{11}=\cdots=\tilde{K}_{\ell}=0,\sum_{i=1}^{\ell}\tilde{K}_{ij}\leq c. Then for each of its principal 2×22\times 2-submatrices

A=(0K~ijK~ij0)A=\begin{pmatrix}0&\tilde{K}_{ij}\\ \tilde{K}_{ij}&0\end{pmatrix}

and any vector u2u\in\mathbb{R}^{2} with non-negative entries and u1+u22u_{1}+u_{2}\leq 2, we have

(u1u2)(0KijKij0)(1u11u2)\displaystyle\begin{pmatrix}u_{1}&u_{2}\end{pmatrix}\begin{pmatrix}0&K_{ij}\\ K_{ij}&0\end{pmatrix}\begin{pmatrix}1-u_{1}\\ 1-u_{2}\end{pmatrix}
=Kij(u1(1u2)+u2(1u1))\displaystyle=K_{ij}(u_{1}(1-u_{2})+u_{2}(1-u_{1}))
=Kij((u1+u2)2(2u1u2)+(u1u2)22)0.\displaystyle=K_{ij}\left(\frac{(u_{1}+u_{2})}{2}(2-u_{1}-u_{2})+\frac{(u_{1}-u_{2})^{2}}{2}\right)\geq 0.

Furthermore, when Kij>0K_{ij}>0, the equality holds if and only if (u1,u2)=(0,0)(u_{1},u_{2})=(0,0) or (1,1)(1,1). Therefore, for every Riemannian manifold NN of positive sectional curvature, if its partial Ricci curvature RicN1\mathrm{Ric}_{N}^{\ell-1} is bounded above by a constant c>0c>0, then NN satisfies the strong condition σ(2,,c)\sigma(2,\ell,c).

It can be seen that k=2k=2 is quite a special case. When we try to extend the above method to the case of k>2k>2, the first problem is that the submatrix is no longer always a multiple of 1δij1-\delta_{ij}. We address this problem by considering curvature pinching conditions.

First, by considering each direction of vector u, let us investigate for any given matrix AA, AA satisfies which conditions σ\sigma.

Definition 4.1.

Let K~M×()\tilde{K}\in M_{\ell\times\ell}(\mathbb{R}) be a symmetric matrix with non-negative entries such that K~11==K~=0\tilde{K}_{11}=\cdots=\tilde{K}_{\ell\ell}=0.

  1. (a)

    For any principal k×kk\times k-submatrix AA of K~\tilde{K} and any vector vv in the standard simplex 𝒮k1:={vk|vi0,i=1kvi=k}\mathcal{S}^{k-1}:=\{v\in\mathbb{R}^{k}\big{|}v_{i}\geq 0,\sum_{i=1}^{k}v_{i}=k\}, we define

    ϕA(v):=sup{0ϕ|(ϕvt)A𝟙k(ϕvt)A(ϕv)0,}\phi_{A}(v):=\sup\{0\leq\phi\leq\infty\big{|}(\phi\cdot v^{t})A\mathds{1}_{k}-(\phi\cdot v^{t})A(\phi\cdot v)\geq 0,\}
  2. (b)

    and we define

    ϕ(A):=supv𝒮k1ϕA(v).\phi(A):=\sup_{v\in\mathcal{S}^{k-1}}\phi_{A}(v).
  3. (c)

    Now, we define ϕk(K~):=minAϕ(A)\phi_{k}(\tilde{K}):=\min_{A}\phi(A), where AA runs over all principal k×kk\times k-submatrix of K~\tilde{K}.

According to our definitions, we can reformulate conditions σ(k,,c;ϕ)\sigma(k,\ell,c;\phi) through ϕk(K~)\phi_{k}(\tilde{K}).

Proposition 4.2.

Let K~M×()\tilde{K}\in M_{\ell\times\ell}(\mathbb{R}) be a symmetric matrix with non-negative entries such that K~11==K~=0,j=1K~ijc\tilde{K}_{11}=\cdots=\tilde{K}_{\ell\ell}=0,\sum_{j=1}^{\ell}\tilde{K}_{ij}\leq c for all ii. Then K~\tilde{K} satisfies the condition σ(k,,c;ϕ)\sigma(k,\ell,c;\phi) if and only if ϕϕk(K~)\phi\leq\phi_{k}(\tilde{K}).

Proof.

Notice that K~\tilde{K} satisfies the condition σ(k,,c;ϕ)\sigma(k,\ell,c;\phi) if and only if for every v𝒮k1v\in\mathcal{S}^{k-1}, 0ψϕ0\leq\psi\leq\phi and principal k×kk\times k-submatrix AA of K~\tilde{K},

(ψvt)A𝟙k(ψvt)A(ψv)0,(\psi\cdot v^{t})A\mathds{1}_{k}-(\psi\cdot v^{t})A(\psi\cdot v)\geq 0,

which is equivalent to say ϕ(A)ϕ\phi(A)\leq\phi for every principal k×kk\times k-submatrix AA of K~\tilde{K}. Thus, these two conditions are equivalent. ∎

Since (ϕvt)A𝟙k(ϕvt)A(ϕv)(\phi\cdot v^{t})A\mathds{1}_{k}-(\phi\cdot v^{t})A(\phi\cdot v) is a quadric polynomial of ϕ\phi of non-positive leading coefficient, we have:

Lemma 4.3.

Let AMk×k()A\in M_{k\times k}(\mathbb{R}) be a symmetric matrix with non-negative entries such that A11==Akk=0A_{11}=\cdots=A_{kk}=0, k2k\geq 2. Then for every v𝒮k1v\in\mathcal{S}^{k-1}, we have

  1. (i)

    ϕA(v)=vtA𝟙kvtAv\phi_{A}(v)=\frac{v^{t}A\mathds{1}_{k}}{v^{t}Av}. (Here, vtA𝟙kvtAv\frac{v^{t}A\mathds{1}_{k}}{v^{t}Av} is defined to be \infty if vtAv=0v^{t}Av=0)

  2. (ii)

    Moreover, if Aij>0A_{ij}>0 for iji\neq j, then

    (ϕvt)A𝟙k(ϕv)tA(ϕv)\displaystyle(\phi v^{t})A\mathds{1}_{k}-(\phi v)^{t}A(\phi v) >0 for all 0<ϕ<ϕA(v);\displaystyle>0\text{ for all $0<\phi<\phi_{A}(v)$;}
    (ϕvt)A𝟙k(ϕv)tA(ϕv)\displaystyle(\phi v^{t})A\mathds{1}_{k}-(\phi v)^{t}A(\phi v) <0 for all ϕA(v)<ϕ<.\displaystyle<0\text{ for all $\phi_{A}(v)<\phi<\infty$.}
Proof.
  1. (i)

    When vtAv=0v^{t}Av=0, we get ϕA(v)=\phi_{A}(v)=\infty directly. When vtAv>0v^{t}Av>0,

    (ϕvt)A𝟙k(ϕvt)A(ϕv)=ϕ(vtA𝟙k)ϕ2(vtAv)=(vtAv)ϕ(vtA𝟙kvtAvϕ),(\phi v^{t})A\mathds{1}_{k}-(\phi\cdot v^{t})A(\phi\cdot v)=\phi(v^{t}A\mathds{1}_{k})-\phi^{2}(v^{t}Av)=(v^{t}Av)\phi(\frac{v^{t}A\mathds{1}_{k}}{v^{t}Av}-\phi),

    so (i) holds.

  2. (ii)

    In this case, every entry in A𝟙kA\mathds{1}_{k} is positive, and hence vtA𝟙k>0v^{t}A\mathds{1}_{k}>0. When vtAv>0v^{t}Av>0, using the equality in the proof of (i), we deduce (ii); when vtAv=0v^{t}Av=0,

    (ϕvt)A𝟙k(ϕvt)A(ϕv)=ϕ(vtA𝟙k)>0(\phi v^{t})A\mathds{1}_{k}-(\phi\cdot v^{t})A(\phi\cdot v)=\phi(v^{t}A\mathds{1}_{k})>0

    for all ϕ>0\phi>0, so (ii) still holds.

For any manifold NN of positive sectional curvature, if K~\tilde{K} is a matrix such that K~ij(KN)ij\tilde{K}_{ij}\geq(K_{N})_{ij}, and a principal k×kk\times k-submatrix AA of K~\tilde{K}, AA always satisfies the extra condition in Lemma 4.3-(ii) always holds on AA. Therefore, we can reformulate strong conditions σ\sigma through ϕk(K~)\phi_{k}(\tilde{K}) and ϕA(v)\phi_{A}(v) in this case.

Proposition 4.4.

Let K~M×()\tilde{K}\in M_{\ell\times\ell}(\mathbb{R}) be a symmetric matrix such that K~11==K~=0,j=1K~ijc\tilde{K}_{11}=\cdots=\tilde{K}_{\ell\ell}=0,\sum_{j=1}^{\ell}\tilde{K}_{ij}\leq c, K~ij>0\tilde{K}_{ij}>0 for all iji\neq j for all ii, 2k2\leq k\leq\ell. Then the following statements hold:

  1. (i)

    when k<k<\ell, K~\tilde{K} satisfies the strong condition σ(k,,c;ϕ)\sigma(k,\ell,c;\phi) if and only if K~\tilde{K} satisfies the condition σ(k,,c;ϕ)\sigma(k,\ell,c;\phi).

  2. (ii)

    when k=k=\ell, K~\tilde{K} satisfies the strong condition σ(,,c;ϕ)\sigma(\ell,\ell,c;\phi) if and only if ϕK~(v)ϕ\phi_{\tilde{K}}(v)\leq\phi for every v𝒮1v\in\mathcal{S}^{\ell-1} and ϕ\phi only can be attained by 𝟙\mathds{1}_{\ell}.

Proof.
  1. (i)

    By Proposition 4.2, K~\tilde{K} satisfies the condition σ(k,,c;ϕ)\sigma(k,\ell,c;\phi) if and only if ϕϕk(K~)\phi\leq\phi_{k}(\tilde{K}). By Lemma 4.3, it is equivalent to

    (vt)A𝟙k(v)tA(v)>0(v^{t})A\mathds{1}_{k}-(v)^{t}A(v)>0

    for every principal k×kk\times k-submatrix AA of K~\tilde{K} and 0<i=1vi<ϕ0<\sum_{i=1}v_{i}<\phi. That is, the definition of strong condition σ(k,,c;ϕ)\sigma(k,\ell,c;\phi).

  2. (ii)

    The proof is essentially similar to (i). In this case, since ϕ\phi only can be attained by 𝟙\mathds{1}_{\ell}, for every v𝒮1{𝟙}v\in\mathcal{S}^{\ell-1}\setminus\{\mathds{1}_{\ell}\}, ϕK~(v)>ϕ\phi_{\tilde{K}}(v)>\phi, and we have

    (vt)A𝟙k(v)tA(v)>0.(v^{t})A\mathds{1}_{k}-(v)^{t}A(v)>0.

    Therefore, these two statements are equivalent.

By the formula of ϕA\phi_{A}, we also can show the minimizer exists when Aij>0A_{ij}>0 for iji\neq j, which allows us to apply the variational method.

Proposition 4.5.

Let AMk×k()A\in M_{k\times k}(\mathbb{R}) be a symmetric matrix such that A11==Akk=0A_{11}=\cdots=A_{kk}=0, Aij>0A_{ij}>0 for all iji\neq j for all ii, where 2k2\leq k. Then

ϕ(A)=infv𝒮kϕA(v)=minv𝒮kϕA(v)>0\phi(A)=\inf_{v\in\mathcal{S}_{k}}\phi_{A}(v)=\min_{v\in\mathcal{S}_{k}}\phi_{A}(v)>0
Proof.

As in the proof of Lemma 4.3, since limvv0ϕA(v)=\lim_{v\to v_{0}}\phi_{A}(v)=\infty for every v0𝒮k1v_{0}\in\mathcal{S}^{k-1} with v0tAv0=0v_{0}^{t}Av_{0}=0, ϕA:𝒮k[0,]\phi_{A}:\mathcal{S}_{k}\to[0,\infty] is a continuous function on compact set, so the minimizer exists. ∎

Based on the above discussion, we build on a translation between the conditions σ\sigma and minimizing problems for ϕA\phi_{A}. We are going to apply this technique to investigate conditions σ\sigma in the remaining of this section.

According to the curvature conditions of manifolds, let us make some terminologies for matrices. Corresponding to Einstein manifolds, for a symmetric matrix AMk×k()A\in M_{k\times k}(\mathbb{R}) with non-negative entries such that A11==Akk=0A_{11}=\cdots=A_{kk}=0, if j=1kA1j==j=1kAkj=c\sum_{j=1}^{k}A_{1j}=\cdots=\sum_{j=1}^{k}A_{kj}=c, we say AA is Einstein (of constant cc) . Similarly, for positive curvature pinching condition, for a symmetric matrix K~M×()\tilde{K}\in M_{\ell\times\ell}(\mathbb{R}) and a constant r1r\geq 1, if K~11==K~=0\tilde{K}_{11}=\cdots=\tilde{K}_{\ell\ell}=0, K~ij>0\tilde{K}_{ij}>0 for all iji\neq j, and K~ijrK~ij\tilde{K}_{ij}\leq r\tilde{K}_{i^{\prime}j^{\prime}} for any pairs (i,j),(i,j)(i,j),(i^{\prime},j^{\prime}) of distinct elements, we say K~\tilde{K} is of pinching rr.

Notice that AA is Einstein if and only if 𝟙k\mathds{1}_{k} is an eigenvector of AA. Hence, we can prove every matrix satisfying conditions σ(k,k,c)\sigma(k,k,c) is Einstein:

Lemma 4.6.

Let AMk×k()A\in M_{k\times k}(\mathbb{R}) be a symmetric matrix with non-negative entries such that A11==Akk=0A_{11}=\cdots=A_{kk}=0.

  1. (i)

    If v𝒮k1v\in\mathcal{S}^{k-1} is a minimizer of ϕA\phi_{A}, then A(𝟙k2ϕA(v)v)A(\mathds{1}_{k}-2\phi_{A}(v)v) lies in the normal cone Nv𝒮k1N_{v}\mathcal{S}^{k-1} of 𝒮k1\mathcal{S}^{k-1}.

  2. (ii)

    Therefore, if 𝟙k\mathds{1}_{k} attains minimum of ϕA\phi_{A}, then AA is Einstein.

Proof.

When A=0A=0, the above statements hold trivially, so we assume A0A\neq 0. In this case, since 𝟙ktA𝟙k>0\mathds{1}_{k}^{t}A\mathds{1}_{k}>0, minϕA<\min\phi_{A}<\infty, and vtAv>0v^{t}Av>0. So, we can differentiate ϕA\phi_{A}. By definition of normal cone, we have

gradϕA=A𝟙kvtAvvtA𝟙k(vtAv)2AvvtAv=1vtAvA(𝟙k2ϕA(v)v)Nv𝒮k1.\mathrm{grad}\phi_{A}=\frac{A\mathds{1}_{k}}{v^{t}Av}-\frac{v^{t}A\mathds{1}_{k}}{(v^{t}Av)}\cdot\frac{2Av}{v^{t}Av}=\frac{1}{v^{t}Av}A(\mathds{1}_{k}-2\phi_{A}(v)v)\in N_{v}\mathcal{S}^{k-1}.

By (i), we have A(𝟙k)N𝟙k𝒮k1=𝟙kA(-\mathds{1}_{k})\in N_{\mathds{1}_{k}}\mathcal{S}^{k-1}=\langle\mathds{1}_{k}\rangle, i.e. AA is Einstein. ∎

Therefore, when researching condition σ(k,k,c)\sigma(k,k,c), we may assume AA is Einstein.

Corollary 4.7.

Let AMk×k()A\in M_{k\times k}(\mathbb{R}) be a symmetric matrix with non-negative entries such that A11==Akk=0A_{11}=\cdots=A_{kk}=0. Then

  1. (i)

    ϕ(A)1\phi(A)\geq 1 if and only if AA is Einstein and the second eigenvalue of AA is non-positive.

  2. (ii)

    ϕ(A)1\phi(A)\geq 1 and this minimum is only attained by 𝟙k\mathds{1}_{k} if and only if AA is Einstein and the second eigenvalue of AA is negative.

Proof.

By Lemma 4.6, we may assume AA is Einstein.

  1. (i)

    ϕ(A)1\phi(A)\geq 1 if and only if

    ϕA(𝟙k+w)=𝟙ktA𝟙k𝟙ktA𝟙k+wtAw1\phi_{A}(\mathds{1}_{k}+w)=\frac{\mathds{1}_{k}^{t}A\mathds{1}_{k}}{\mathds{1}_{k}^{t}A\mathds{1}_{k}+w^{t}Aw}\geq 1

    for every 𝟙k+w𝒮k1\mathds{1}_{k}+w\in\mathcal{S}^{k-1} if and only if wtAw0w^{t}Aw\leq 0 for every wT𝟙k𝒮k1=𝟙kw\in T_{\mathds{1}_{k}}\mathcal{S}^{k-1}=\langle\mathds{1}_{k}\rangle^{\perp} if and only if the second eigenvalue of AA is non-positive.

  2. (ii)

    Similar to (i), ϕ(A)1\phi(A)\geq 1 and this minimum is only attained by 𝟙k\mathds{1}_{k} if and only if

    ϕA(𝟙k+w)=𝟙ktA𝟙k𝟙ktA𝟙k+wtAw>1\phi_{A}(\mathds{1}_{k}+w)=\frac{\mathds{1}_{k}^{t}A\mathds{1}_{k}}{\mathds{1}_{k}^{t}A\mathds{1}_{k}+w^{t}Aw}>1

    for every 𝟙k+w𝒮k1{𝟙k}\mathds{1}_{k}+w\in\mathcal{S}^{k-1}\setminus\{\mathds{1}_{k}\} if and only if the second eigenvalue of AA is negative.

We need the following lemma to apply Corollary 4.7 to general conditions σ(k,,c)\sigma(k,\ell,c).

Lemma 4.8.

Let K~M×()\tilde{K}\in M_{\ell\times\ell}(\mathbb{R}) be a symmetric matrix with non-negative entries such that K~11==K~=0,j=1K~ijc\tilde{K}_{11}=\cdots=\tilde{K}_{\ell\ell}=0,\sum_{j=1}^{\ell}\tilde{K}_{ij}\leq c for all ii. If there is an integer 2<k<2<k<\ell such that every principal k×kk\times k-submatrix of K~\tilde{K} is Einstein, then K~\tilde{K} is either 0 or of pinching 11.

Proof.

For every two pairs (i,j)(i,j) and (p,q)(p,q) of distinct elements, we want to show K~ij=K~pq\tilde{K}_{ij}=\tilde{K}_{pq}. Since K~\tilde{K} is symmetric, when {i,j}={p,q}\{i,j\}=\{p,q\}, we have K~ij=K~pq\tilde{K}_{ij}=\tilde{K}_{pq}. If {i,j}{p,q}=ϕ\{i,j\}\cap\{p,q\}=\phi, then by considering K~ij,K~iq,K~pq\tilde{K}_{ij},\tilde{K}_{iq},\tilde{K}_{pq}, it suffices to show K~ji=K~qi\tilde{K}_{ji}=\tilde{K}_{qi} for any distinct three elements i,j,qi,j,q.

For any four distinct elements i,j,p,qi,j,p,q, extend them to distinct k+1k+1 elements {a1=i,a2=j,,ak=p,ak+1=q}\{a_{1}=i,a_{2}=j,\ldots,a_{k}=p,a_{k+1}=q\}. By assumption, we have

K~a2a1++K~aka1\displaystyle\tilde{K}_{a_{2}a_{1}}+\cdots+\tilde{K}_{a_{k}a_{1}} =K~a1a2+K~a3a2++K~aka2\displaystyle=\tilde{K}_{a_{1}a_{2}}+\tilde{K}_{a_{3}a_{2}}+\cdots+\tilde{K}_{a_{k}a_{2}}
K~a2a1++K~ak1a1+K~ak+1a1\displaystyle\tilde{K}_{a_{2}a_{1}}+\cdots+\tilde{K}_{a_{k-1}a_{1}}+\tilde{K}_{a_{k+1}a_{1}} =K~a1a2+K~a3a2++K~ak1a2+K~ak+1a2,\displaystyle=\tilde{K}_{a_{1}a_{2}}+\tilde{K}_{a_{3}a_{2}}+\cdots+\tilde{K}_{a_{k-1}a_{2}}+\tilde{K}_{a_{k+1}a_{2}},

and thus

K~qiK~pi=K~qjK~pj.\tilde{K}_{qi}-\tilde{K}_{pi}=\tilde{K}_{qj}-\tilde{K}_{pj}.

Now, for any distinct three elements i,j,pi,j,p, extend them to distinct kk elements {a1=i,a2=j,a3=p,a4,,ak}\{a_{1}=i,a_{2}=j,a_{3}=p,a_{4},\ldots,a_{k}\}. Let α:=K~pjK~pi\alpha:=\tilde{K}_{pj}-\tilde{K}_{p_{i}}. Since every principal k×kk\times k-submatrix is Einstein, we have

K~a2a1++K~aka1=K~a1a2+K~a3a2++K~aka2=K~a2a1++K~aka1+(k2)α.\tilde{K}_{a_{2}a_{1}}+\cdots+\tilde{K}_{a_{k}a_{1}}=\tilde{K}_{a_{1}a_{2}}+\tilde{K}_{a_{3}a_{2}}+\cdots+\tilde{K}_{a_{k}a_{2}}=\tilde{K}_{a_{2}a_{1}}+\cdots+\tilde{K}_{a_{k}a_{1}}+(k-2)\alpha.

Hence, (k2)α=0(k-2)\alpha=0, and α=K~pjK~pi=0\alpha=\tilde{K}_{pj}-\tilde{K}_{p_{i}}=0. ∎

Now, we can describe matrices satisfying condition σ(k,,c)\sigma(k,\ell,c) completely.

Proposition 4.9.

Matrices satisfy conditions σ(k,,c)\sigma(k,\ell,c) are as follows:

  1. (i)

    Matrices satisfying the condition σ(2,,c)\sigma(2,\ell,c) are K~M×()\tilde{K}\in M_{\ell\times\ell}(\mathbb{R}) such that K~=K~t,K~ii=0,K~ij0\tilde{K}=\tilde{K}^{t},\tilde{K}_{ii}=0,\tilde{K}_{ij}\geq 0 and j=1K~ijc\sum_{j=1}^{\ell}\tilde{K}_{ij}\leq c.

  2. (ii)

    Matrices satisfying the strong condition σ(2,,c)\sigma(2,\ell,c) are K~M×()\tilde{K}\in M_{\ell\times\ell}(\mathbb{R}) such that K~=K~t,K~ii=0,K~ij>0\tilde{K}=\tilde{K}^{t},\tilde{K}_{ii}=0,\tilde{K}_{ij}>0 for all iji\neq j and j=1K~ijc\sum_{j=1}^{\ell}\tilde{K}_{ij}\leq c.

  3. (iii)

    For 2<k<2<k<\ell, matrices satisfying the condition σ(k,,κ(1))\sigma(k,\ell,\kappa(\ell-1)) are K~ij=κ(1δij)\tilde{K}_{ij}=\kappa^{\prime}(1-\delta_{ij}), where 0κκ0\leq\kappa^{\prime}\leq\kappa.

  4. (iv)

    Matrices satisfying the (strong) condition σ(,,c)\sigma(\ell,\ell,c) are Einstein matrices of constants at most cc and (negative) non-positive second eigenvalue. In particular, Einstein matrices of constants at most cc and pinching (less than) at most 22 satisfy the (strong) condition σ(n,n,c)\sigma(n,n,c).

Proof.

Let K~M×()\tilde{K}\in M_{\ell\times\ell}(\mathbb{R}) be a symmetric matrix with non-negative entries such that K~11==K~=0,j=1K~ijc\tilde{K}_{11}=\cdots=\tilde{K}_{\ell\ell}=0,\sum_{j=1}^{\ell}\tilde{K}_{ij}\leq c for all ii. We discuss each condition σ\sigma respectively.

  1. (i)

    For every 2×22\times 2 principal submatrix AA of K~\tilde{K}, A=(0aa0)A=\begin{pmatrix}0&a\\ a&0\end{pmatrix} has the second eigenvalue a0-a\leq 0, so ϕ2(K~)1\phi_{2}(\tilde{K})\geq 1 by Corollary 4.7, and (i) is proved.

  2. (ii)

    As in (i), K~\tilde{K} satisfies the strong condition σ(2,,c)\sigma(2,\ell,c) if and only if for every principal 2×22\times 2-submatrix AA and ϕA\phi_{A}, 11 is only attained by 𝟙2\mathds{1}_{2} if and only if K~ij>0\tilde{K}_{ij}>0 for every iji\neq j.

  3. (iii)

    When K~ij=κ(1δij)\tilde{K}_{ij}=\kappa^{\prime}(1-\delta_{ij}), its k×kk\times k principal submatrices AA are also of the form κ(1δij)\kappa^{\prime}(1-\delta_{ij}), whose second eigenvalue is κ-\kappa^{\prime}, and ϕ(A)1\phi(A)\geq 1 by Corollary 4.7. Hence, K~ij\tilde{K}_{ij} satisfies the condition σ(k,,κ(1))\sigma(k,\ell,\kappa(\ell-1)). On the other hand, if K~\tilde{K} satisfies condition σ(k,,κ(1))\sigma(k,\ell,\kappa(\ell-1)), then its principal k×kk\times k-submatrix are Einstein by Lemma 4.6, and thus K~ij=κ(1δij)\tilde{K}_{ij}=\kappa^{\prime}(1-\delta_{ij}) for some 0κκ0\leq\kappa^{\prime}\leq\kappa by Lemma 4.8.

  4. (iv)

    The first statement follows from Corollary 4.7 directly. For the second statement, we may assume minijK~ij=1\min_{i\neq j}\tilde{K}_{ij}=1 and decompose K~\tilde{K} into

    K~ij=(1δij)+(K~ij(1δij)),\tilde{K}_{ij}=(1-\delta_{ij})+(\tilde{K}_{ij}-(1-\delta_{ij})),

    where the latter term is a multiple of transition matrix and hence of second eigenvalue at most r1r-1. Thus, the second eigenvalue of K~\tilde{K} is at most r2r-2, and the second statement is proved by the first one.

Apply Proposition 4.9 to manifolds. Then we get the following corollary.

Corollary 4.10.

Let (Nn,h)(N^{n},h) be a Riemannian manifold with sup(RicNn1)+<\sup(\mathrm{Ric}_{N}^{n-1})_{+}<\infty. Then the following statements hold:

  1. (i)

    NN always satisfies the condition σ(2,,sup(RicN1)+)\sigma(2,\ell,\sup(\mathrm{Ric}_{N}^{\ell-1})_{+}).

  2. (ii)

    for every c>sup(RicN1)+c>\sup(\mathrm{Ric}_{N}^{\ell-1})_{+}, NN always satisfies the strong condition σ(2,,c)\sigma(2,\ell,c), and NN satisfies the strong condition σ(2,,sup(RicN1)+)\sigma(2,\ell,\sup(\mathrm{Ric}_{N}^{\ell-1})_{+}) if and only if the maximum of (RicN1)+(\mathrm{Ric}_{N}^{\ell-1})_{+} is only attained by vectors v1,,vv_{1},\ldots,v_{\ell} such that KN(v1,v2),,KN(v1,v)>0K_{N}(v_{1},v_{2}),\ldots,K_{N}(v_{1},v_{\ell})>0

  3. (iii)

    for 2<k<n2<k<\ell\leq n, NN satisfies the condition σ(k,,(1)κ)\sigma(k,\ell,(\ell-1)\kappa) if and only if KNκK_{N}\leq\kappa. In this case, when κ>0\kappa>0, NN satisfies all strong conditions σ(k,,(1)κ)\sigma(k,\ell,(\ell-1)\kappa).

  4. (iv)

    if NN is an Einstein manifold of positive sectional curvature with supKN/infKN<2\sup K_{N}/\inf K_{N}<2, then NN satisfies the strong condition σ(n,n,c)\sigma(n,n,c).

  5. (iv)’

    if NN is an Einstein manifold of positive sectional curvature with supKN/infKN2\sup K_{N}/\inf K_{N}\leq 2, then NN satisfies the condition σ(n,n,c)\sigma(n,n,c).

Proof.
  1. (i)

    Denote sup(RicN1)+\sup(\mathrm{Ric}_{N}^{\ell-1})_{+} by cc. For every orthonormal vectors v1,,vTpNv_{1},\ldots,v_{\ell}\in T_{p}N,

    K~ij:=max(KN(vi,vj),0)\tilde{K}_{ij}:=\max(K_{N}(v_{i},v_{j}),0)

    is a matrix satisfying the condition σ(2,,c)\sigma(2,\ell,c) and K~ijKN(vi,vj)\tilde{K}_{ij}\geq K_{N}(v_{i},v_{j}). Hence, NN satisfies the condition σ(2,,c)\sigma(2,\ell,c).

  2. (ii)

    For the first statement, let ϵ>0\epsilon>0 such that sup(RicN1)++(1)ϵ<c\sup(\mathrm{Ric}_{N}^{\ell-1})_{+}+(\ell-1)\epsilon<c. Then K~ij:=max(KN(vi,vj),0)+ϵ(1δij)\tilde{K}_{ij}:=\max(K_{N}(v_{i},v_{j}),0)+\epsilon(1-\delta_{ij}) is our goal.

    Assume NN satisfies the strong condition σ(2,,c)\sigma(2,\ell,c) and v1,,vv_{1},\ldots,v_{\ell} attain maximum of (RicN1)+(\mathrm{Ric}_{N}^{\ell-1})_{+}. Let K~ij\tilde{K}_{ij} be the matrix satisfying strong condition σ(2,,c)\sigma(2,\ell,c) and K~ijKN(vi,vj)\tilde{K}_{ij}\geq K_{N}(v_{i},v_{j}). Since

    sup(RicN1)+=i=2max(KN(v1,vi),0)i=2K~1isup(RicN1)+,\sup(\mathrm{Ric}_{N}^{\ell-1})_{+}=\sum_{i=2}^{\ell}\max(K_{N}(v_{1},v_{i}),0)\leq\sum_{i=2}^{\ell}\tilde{K}_{1i}\leq\sup(\mathrm{Ric}_{N}^{\ell-1})_{+},

    we have K~ij=max(KN(v1,vi),0)\tilde{K}_{ij}=\max(K_{N}(v_{1},v_{i}),0). Furthermore, since K~\tilde{K} satisfies the strong condition σ(2,,c)\sigma(2,\ell,c), K~1i>0\tilde{K}_{1i}>0 for i=2,,i=2,\ldots,\ell, and hence KN(v1,vi)=K~1i>0K_{N}(v_{1},v_{i})=\tilde{K}_{1i}>0 for all 2i2\leq i\leq\ell.

    Conversely, assume the maximum of (RicN1)+(\mathrm{Ric}_{N}^{\ell-1})_{+} is only attained by such vectors. Let v1,,vTpNv_{1},\ldots,v_{\ell}\in T_{pN} be orthonormal vectors. By rearrangement, we may assume

    (RicN1)+(v1;v2,,v)==(RicN1)+(vp;v1,,viˇ,,v)\displaystyle(\mathrm{Ric}_{N}^{\ell-1})_{+}(v_{1};v_{2},\ldots,v_{\ell})=\cdots=(\mathrm{Ric}_{N}^{\ell-1})_{+}(v_{p};v_{1},\ldots,\check{v_{i}},\ldots,v_{\ell}) =c\displaystyle=c
    (RicN1)+(vp+1;v1,,vi+1ˇ,,v),,(RicN1)+(v;v1,,v1)\displaystyle(\mathrm{Ric}_{N}^{\ell-1})_{+}(v_{p+1};v_{1},\ldots,\check{v_{i+1}},\ldots,v_{\ell}),\ldots,(\mathrm{Ric}_{N}^{\ell-1})_{+}(v_{\ell};v_{1},\ldots,v_{\ell-1}) <c,\displaystyle<c,

    where 0p0\leq p\leq\ell. Then, by assumption, KN(vj,vk)>0K_{N}(v_{j},v_{k})>0 if jkj\neq k and one of j,kj,k is smaller than pp. Hence, in order to find suitable K~ij\tilde{K}_{ij}, we only have to adjust the lower right (p)×(p)(\ell-p)\times(\ell-p)-principal submatrix.

    Let ϵ>0\epsilon>0 be a small constant such that

    (RicN1)+(vp+1;v1,,vi+1ˇ,,v)+ϵ,,(RicN1)+(v;v1,,v1)+ϵc.(\mathrm{Ric}_{N}^{\ell-1})_{+}(v_{p+1};v_{1},\ldots,\check{v_{i+1}},\ldots,v_{\ell})+\ell\epsilon,\ldots,(\mathrm{Ric}_{N}^{\ell-1})_{+}(v_{\ell};v_{1},\ldots,v_{\ell-1})+\ell\epsilon\leq c.

    Then

    K~ij:=(max(KN(vi,vj),0))+(0p×p0p×(p)0(p)×p(1δij)ϵ)\tilde{K}_{ij}:=\begin{pmatrix}\max(K_{N}(v_{i},v_{j}),0)\end{pmatrix}+\begin{pmatrix}0_{p\times p}&0_{p\times(\ell-p)}\\ 0_{(\ell-p)\times p}&(1-\delta_{ij})\epsilon\end{pmatrix}

    is a matrix satisfying the strong condition σ(2,,c)\sigma(2,\ell,c) and K~ijKN(vi,vj)\tilde{K}_{ij}\geq K_{N}(v_{i},v_{j}).

  3. (iii)

    Assume NN satisfies the condition σ(k,,(1)κ)\sigma(k,\ell,(\ell-1)\kappa). Then for every orthonormal vectors v1,,vv_{1},\ldots,v_{\ell}, KN(vi,vj)κ(1δij)K_{N}(v_{i},v_{j})\leq\kappa(1-\delta_{ij}), so KNκK_{N}\leq\kappa. Conversely, if KNκK_{N}\leq\kappa, K~ij=κ(1δij)\tilde{K}_{ij}=\kappa(1-\delta_{ij}) is our goal.

  4. (iv)&(iv)’

    K~ij:=KN(vi,vj)\tilde{K}_{ij}:=K_{N}(v_{i},v_{j}) is our goal by Proposition 4.9.

Corollary 4.10 demonstrates the constraints of condition σ(k,,c)\sigma(k,\ell,c). That is why we should consider parameter ϕ\phi for weaker curvature conditions.

The main difficulty in investigating general condition σ(k,,c;ϕ)\sigma(k,\ell,c;\phi) is that the restrictions to principal submatrices don’t preserve algebraic properties of matrices. There are two situations where we can avoid it. The first one is when we consider condition σ(n,n,c;ϕ)\sigma(n,n,c;\phi) for Einstein manifolds, where we don’t restrict the matrices. The second one is solely considering the curvature pinching condition, which is evidently preserved under restriction.

Proposition 4.11.

Let (Nn,h)(N^{n},h) be an Einstein manifold with RicN=ch\mathrm{Ric}_{N}=c\cdot h and positive sectional curvature KN>0K_{N}>0 of pinching r>2r>2. Then NN satisfies the strong condition σ(n,n,c;n2+rnrn)\sigma(n,n,c;\frac{n-2+r}{nr-n}).

Proof.

For every orthonormal basis v1,,vnv_{1},\ldots,v_{n} of TpNT_{p}N, we are going to show K~ij:=KN(vi,vj)\tilde{K}_{ij}:=K_{N}(v_{i},v_{j}) satisfies the strong condition σ(n,n,c;n2+rnrn)\sigma(n,n,c;\frac{n-2+r}{nr-n}). Notice that it suffices to show ϕ(K~)>n2+rnrn\phi(\tilde{K})>\frac{n-2+r}{nr-n}.

First, we estimate the second eigenvalue of K~ij\tilde{K}_{ij}. Let A:=maxK~ij=K~i0j0,B:=infijK~ijA:=\max\tilde{K}_{ij}=\tilde{K}_{i_{0}j_{0}},B:=\inf_{i\neq j}\tilde{K}_{ij}. Then we have

A+(n2)B\displaystyle A+(n-2)B j=1,ji0nK~i0jc, and\displaystyle\leq\sum_{j=1,j\neq i_{0}}^{n}\tilde{K}_{i_{0}j}\leq c,\text{ and }
A\displaystyle A rB\displaystyle\leq r\cdot B

by curvature pinching condition. Decompose K~ij\tilde{K}_{ij} into

B(1δij)+(K~ijB(1δij)).B(1-\delta_{ij})+(\tilde{K}_{ij}-B(1-\delta_{ij})).

Then (K~ijB(1δij))(\tilde{K}_{ij}-B(1-\delta_{ij})) is an Einstein matrix of entries at most ABA-B, and its second eigenvalue (that is, the largest eigenvalue on 𝟙n\langle\mathds{1}_{n}\rangle^{\perp}) is at most ABA-B. Hence, the second eigenvalue of K~ij\tilde{K}_{ij} is at most A2BA-2B. Now, we solve maximum of A2BA-2B subject to A+(n2)Bc,ArBA+(n-2)B\leq c,A\leq r\cdot B. When A+(n2)BA+(n-2)B is fixed, the maximum of A2BA-2B occurs when A=rBA=r\cdot B, so we assume A=rBA=r\cdot B. In this case, (n2+r)Bc(n-2+r)\cdot B\leq c, and hence the second eigenvalue is smaller than A2B=(r2)Br2n2+rcA-2B=(r-2)\cdot B\leq\frac{r-2}{n-2+r}\cdot c.

Since ϕK~(v)\phi_{\tilde{K}}(v) tends to \infty as vv tends to corners e1,,eke_{1},\ldots,e_{k} of 𝒮n1\mathcal{S}^{n-1}, we have

ϕ(K~)\displaystyle\phi(\tilde{K}) =infv𝒮n1{e1,,en}vtK~𝟙nvtK~v\displaystyle=\inf_{v\in\mathcal{S}^{n-1}\setminus\{e_{1},\ldots,e_{n}\}}\frac{v^{t}\tilde{K}\mathds{1}_{n}}{v^{t}\tilde{K}v}
=infw(𝒮n1{e1,,en})𝟙kcncn+wtAw\displaystyle=\inf_{w\in(\mathcal{S}^{n-1}\setminus\{e_{1},\ldots,e_{n}\})-\mathds{1}_{k}}\frac{cn}{cn+w^{t}Aw}
>cncn+(n2n)(r2n2+r)c\displaystyle>\frac{cn}{cn+(n^{2}-n)\left(\frac{r-2}{n-2+r}\right)c}
=n2+rnrn.\displaystyle=\frac{n-2+r}{nr-n}.

Therefore, K~\tilde{K} satisfies the strong condition σ(n,n,c;n2+rnrn)\sigma(n,n,c;\frac{n-2+r}{nr-n}), and so is NN. ∎

The parameter ϕ\phi for general curvature pinching conditions can be characterized by some extreme cases. Given a positive integer kk, we let k:={(i,j)|1i<jk}\mathcal{I}_{k}:=\{(i,j)\big{|}1\leq i<j\leq k\} and for every JkJ\subset\mathcal{I}_{k}, define AJ(r)Mk×k()A_{J}(r)\in M_{k\times k}(\mathbb{R}) by

AJ(r)ii\displaystyle A_{J}(r)_{ii} :=0\displaystyle:=0
( for every (i,j)J(i,j)\in J) AJ(r)ij\displaystyle A_{J}(r)_{ij} =AJ(r)ji:=r\displaystyle=A_{J}(r)_{ji}:=r
(for other (i,j)(i,j)) AJ(r)ij\displaystyle A_{J}(r)_{ij} :=1.\displaystyle:=1.

Then we have the following proposition:

Proposition 4.12.

For any k×kk\times k-matrix AA of pinching rr,

ϕ(A)minJkϕ(AJ(r))=:ϕk(r).\phi(A)\geq\min_{J\subset\mathcal{I}_{k}}\phi(A_{J}(r))=:\phi_{k}(r).

Moreover, for every k3k\geq 3, ϕk(r)>2/k\phi_{k}(r)>2/k.

Proof.

For convenience, we may assume infijAij=1\inf_{i\neq j}A_{ij}=1. Then AijrA_{ij}\leq r. For every vector v(0)kv\in(\mathbb{R}_{\geq 0})^{k} with i=1kviϕk(r)\sum_{i=1}^{k}v_{i}\leq\phi_{k}(r), we have

vtA(𝟙kv)\displaystyle v^{t}A(\mathds{1}_{k}-v) =(i,j)IAij(vi+vj2vivj)\displaystyle=\sum_{(i,j)\in I}A_{ij}(v_{i}+v_{j}-2v_{i}v_{j})
(where J:={(i,j)I|vi+vj2vivj<0}J:=\{(i,j)\in I\big{|}v_{i}+v_{j}-2v_{i}v_{j}<0\}) (i,j)Jr(vi+vj2vivj)+(i,j)kJ(vi+vj2vivj)\displaystyle\geq\sum_{(i,j)\in J}r(v_{i}+v_{j}-2v_{i}v_{j})+\sum_{(i,j)\in\mathcal{I}_{k}\setminus J}(v_{i}+v_{j}-2v_{i}v_{j})
(since i=1kviϕ(AJ(r))\sum_{i=1}^{k}v_{i}\leq\phi(A_{J}(r))) 0,\displaystyle\geq 0,

so ϕk(A)ϕk(r).\phi_{k}(A)\geq\phi_{k}(r).

Now, suppose ϕk(r)2/k\phi_{k}(r)\leq 2/k. Then, the minimum of some ϕAJ(r)\phi_{A_{J}(r)} is attained by a vector v(0)kv\in(\mathbb{R}_{\geq 0})^{k}. In this case, vtAJ(r)(𝟙kv)=0v^{t}A_{J}(r)(\mathds{1}_{k}-v)=0. Since each vi+vj2vivjv_{i}+v_{j}-2v_{i}v_{j} is non-negative, they are all zero, and v=0v=0. However, this is impossible since one can show 𝟘k\mathds{0}_{k} is an isolated zero of vtAJ(r)(𝟙kv)v^{t}A_{J}(r)(\mathds{1}_{k}-v) by its first variation. Hence, ϕk(r)>2/k\phi_{k}(r)>2/k. ∎

Corollary 4.13.

For every Riemannian manifold NnN^{n} of positive sectional curvature, curvature pinching κ1\kappa\geq 1, and RicN1c\mathrm{Ric}_{N}^{\ell-1}\leq c, NN satisfies the condition σ(k,,c;ϕk(κ))\sigma(k,\ell,c;\phi_{k}(\kappa)).

Proof.

This corollary is directly proved by Proposition 4.12. ∎

Corollary 4.14.

Let NnN^{n} be a Riemannian manifold of positive sectional curvature with quarter pinching. Then NN satisfies the condition σ(3,,supRicN1;5/6)\sigma(3,\ell,\sup\mathrm{Ric}_{N}^{\ell-1};5/6) for every 3n3\leq\ell\leq n. Moreover, when 3<3<\ell, NN satisfies the strong condition σ(3,,supRicN1;5/6)\sigma(3,\ell,\sup\mathrm{Ric}_{N}^{\ell-1};5/6).

Proof.

For every orthonormal vectors v1,v2,v3v_{1},v_{2},v_{3}, consider K~ij:=KN(vi,vj)\tilde{K}_{ij}:=K_{N}(v_{i},v_{j}). By symmetry, we have minJϕ(AJ(r))=min(ϕ(A{(1,2}(r)),ϕ(A{(1,2}(1/r)))\min_{J}\phi(A_{J}(r))=\min(\phi(A_{\{(1,2\}}(r)),\phi(A_{\{(1,2\}}(1/r))). Let A:=A{1,2}(r)M3×3()A:=A_{\{1,2\}}(r)\in M_{3\times 3}(\mathbb{R}). Notice that minv𝒮2ϕA(v)\min_{v\in\mathcal{S}^{2}}\phi_{A}(v) is attained by some vt=(xx 32x)v^{t}=(x\ x\ 3-2x), and

ϕ:=ϕ(A)=ϕA(v)=(2r2)x+6(2r8)x2+12x.\phi:=\phi(A)=\phi_{A}(v)=\frac{(2r-2)x+6}{(2r-8)x^{2}+12x}.

If x=32x=\frac{3}{2}, then ϕ=2r+23r\phi=\frac{2r+2}{3r}. Now, suppose 0<x<320<x<\frac{3}{2}. Then A(𝟙32ϕv)𝟙3A(\mathds{1}_{3}-2\phi v)\in\langle\mathds{1}_{3}\rangle, and

ϕ=r1(2r8)x+6.\phi=\frac{r-1}{(2r-8)x+6}.

Therefore,

(r25r+4)x2+(6r24)x+18=0,(r^{2}-5r+4)x^{2}+(6r-24)x+18=0,

with discriminant D=36((r1)29)D=-36((r-1)^{2}-9) and solution x=(6r24)6(2+r)(4r)2(r4)(r1)x=\frac{-(6r-24)-6\sqrt{(2+r)(4-r)}}{2(r-4)(r-1)}, so r4r\leq 4. Evaluate ϕ\phi at xx again. We get

ϕ=(r1)2186(2+r)(4r).\phi=\frac{(r-1)^{2}}{18-6\sqrt{(2+r)(4-r)}}.

Thus, ϕ(A{1,2}(4))=5/6\phi(A_{\{1,2\}}(4))=5/6, and ϕ(A{1,2}(1/4))=12+158>5/6\phi(A_{\{1,2\}}(1/4))=\frac{1}{2}+\frac{\sqrt{15}}{8}>5/6, so it is proved by Proposition 4.12. ∎

5. Rigidity of Contracting Maps

In this section, we build upon Theorems 3.7 and Theorem 3.10 to establish the rigidity of contracting maps. The contracting conditions include upper bound for energy density, 2-nonnegativity of α=gFh\alpha=g-F^{*}h and general kk-nonnegativity of α=ϕgFh\alpha=\phi\cdot g-F^{*}h. By rescaling the metric, these results can be extended to the setting where RicM>0\mathrm{Ric}_{M}>0.

The assumption about an upper bound on the energy density corresponds to condition σ(min(n,m),min(n,m),c)\sigma(\min(n,m),\min(n,m),c), valid for the space-form case.

Corollary 5.1.

Let (Mm,g)(M^{m},g) and (Nn,h)(N^{n},h) be closed connected manifolds. Assume their curvatures satisfy:

  1. (a)

    RicM(min(n,m)1)κ\mathrm{Ric}_{M}\geq(\min(n,m)-1)\kappa

  2. (b)

    KNκK_{N}\leq\kappa

for some positive constant κ\kappa. Then for every smooth map F:MNF\colon M\to N with |dF|g,h2min(n,m)|dF|_{g,h}^{2}\leq\min(n,m), one of the following holds:

  1. (i)

    F:MNF\colon M\to N is a Riemannian fiber bundle, and KNκK_{N}\equiv\kappa;

  2. (ii)

    F:MNF\colon M\to N is a totally geodesic isometric immersion, and KMκK_{M}\equiv\kappa;

  3. (iii)

    FF is homotopically trivial.

Proof.

Since NN satisfies the strong condition σ(min(n,m),min(n,m),(min(n,m)1)κ)\sigma(\min(n,m),\min(n,m),(\min(n,m)-1)\kappa), the assumptions of Theorem 3.10 hold. We now focus on proving the rigidity of curvatures for cases (i) and (ii).

By Lemma 3.6, (KN)ijκ(K_{N})_{ij}\equiv\kappa for every iji\neq j with respect to any SVD frame. Hence, KNκK_{N}\equiv\kappa when mnm\geq n, and κ(KN)|MKM\kappa\equiv(K_{N})|_{M}\equiv K_{M} when mnm\leq n. ∎

Since spheres are simply-connected, we have:

Corollary 5.2.

For any smooth map F:(Sm.gSm)(Sn,gSn)F:(S^{m}.g_{S^{m}})\to(S^{n},g_{S^{n}}) with |dF|2min(n,m)|dF|^{2}\leq\min(n,m), FF is either an isometry embedding into a big-circle or homotopically trivial.

Theorem 1.3 also follows from this theory directly:

Proof of Theorem 1.3.

By Corollary 4.11, NN satisfies strong condition σ(n,n,c)\sigma(n,n,c), so the proof is done by Theorem 3.10. ∎

For Einstein manifolds of positive sectional curvature, we have the following result:

Corollary 5.3.

Let (Mm,g)(M^{m},g) and (Nn,h)(N^{n},h) be closed, connected manifolds. Suppose their curvatures satisfy the following conditions:

  1. (a)

    RicMRicN\mathrm{Ric}_{M}\geq\mathrm{Ric}_{N},

  2. (b)

    NN is an Einstein manifold of positive sectional curvature,

  3. (c)

    (supKN/infKN)r(\sup K_{N}/\inf K_{N})\leq r for some r>2r>2.

For a smooth map F:MNF\colon M\to N, if |dF|2n2+rr1|dF|^{2}\leq\frac{n-2+r}{r-1}, then FF is homotopically trivial.

Proof.

By Proposition 4.11, NN satisfies strong condition σ(n,n,c;n2+rnrn)\sigma(n,n,c;\frac{n-2+r}{nr-n}), so the proof is done by Theorem 3.10. ∎

The general contracting properties and curvature pinching conditions also can be studied in this way:

Proof of Theorem 1.2.

It’s proved by Proposition 4.12 and Theorem 3.10. ∎

Proof of Corollary 1.4.

It’s proved by Corollary 4.14 and Theorem 3.10. ∎

6. Appendix

Proposition 6.1.

Let MmM^{m} be a compact manifold with time-dependent metric g(t)(t[0,T))g(t)(t\in[0,T)). Assume ht(t[0,T))h_{t}(t\in[0,T)) is a time-dependent self-adjoint (1,1)(1,1)-tensor on MM such that hth_{t} is kk-nonnegative on M×{0}M×[0,T)M\times\{0\}\cup\partial M\times[0,T) and that there are

  1. (i)

    a locally Lipschitz time-dependent bundle map ϕ:[0,T)×Selfadj(TM)Selfadj(TM)\phi:[0,T)\times\mathrm{Selfadj}(T^{M})\to\mathrm{Selfadj}(T^{M}) such that i=1kgt(ϕt(ω)(vi),vi)0\sum_{i=1}^{k}g_{t}(\phi_{t}(\omega)(v_{i}),v_{i})\geq 0 if i=1kgt(ϕt(ω)(vi),vi)=0\sum_{i=1}^{k}g_{t}(\phi_{t}(\omega)(v_{i}),v_{i})=0 for singular value decomposition {v1,,vm}\{v_{1},\ldots,v_{m}\} with singular values λ1λm\lambda_{1}\leq\cdots\leq\lambda_{m}

  2. (ii)

    a vector field X𝔛(M)X\in\mathfrak{X}(M) such that

    tH=Δg(t)H+XH+ϕt(H).\frac{\partial}{\partial t}H=\Delta_{g(t)}H+\nabla_{X}H+\phi_{t}(H).

Then hh is kk-nonnegative on M×[0,T)M\times[0,T).

Proof.

First, observe that the set {t[0,T)|hs00st}\{t\in[0,T)\big{|}h_{s}\geq 0\ \forall 0\leq s\leq t\} is closed. If we can demonstrate its openness, we can conclude its connectivity. Therefore, our objective is to establish the existence of a small δ>0\delta>0 such that ht0h_{t}\geq 0 for all t[0,δ)t\in[0,\delta). In this context, we can choose a space-time-uniform Lipschitz constant KK for ϕ\phi (with respect to each metric g(t)g(t))

For every ϵ>0\epsilon>0 and δ>0\delta>0, consider the (1,1)(1,1)-tensor h~δ,ϵ=h~:=h+ϵ(δ+t)id\tilde{h}_{\delta,\epsilon}=\tilde{h}:=h+\epsilon(\delta+t)id. Our strategy is to show that there exists a δ>0\delta>0 such that for every ϵ>0\epsilon>0, H~\tilde{H} is kk-nonnegative for all t[0,δ]t\in[0,\delta]. Let δ\delta be an undetermined positive constant. Suppose not. Then there is an ϵ>0\epsilon>0 and a least 0<t0δ0<t_{0}\leq\delta such that h~t0\tilde{h}_{t_{0}} is not kk-positive at some p0Mp_{0}\in M^{\circ}. By continuity, h~t0\tilde{h}_{t_{0}} is kk-nonnegative, and

i=1kgt0(ht0(vi),vi)=0,\sum_{i=1}^{k}g_{t_{0}}(h_{t_{0}}(v_{i}),v_{i})=0,

where v1,,vkv_{1},\ldots,v_{k} are the eigenvectors with smallest kk eigenvalues. By assumption, we have i=1kgt0(ϕt0(h~t0)(vi),vi)0\sum_{i=1}^{k}g_{t_{0}}(\phi_{t_{0}}(\tilde{h}_{t_{0}})(v_{i}),v_{i})\geq 0, and hence

i=1kgt0(ϕt0(ht0)(vi),vi)\displaystyle\sum_{i=1}^{k}g_{t_{0}}(\phi_{t_{0}}(h_{t_{0}})(v_{i}),v_{i}) i=1kgt0(ϕt0(h~t0)(vi),vi)i=1k|gt0(ϕt0(h~t0)(vi),vi)gt0(ϕt0(ht0)(vi),vi)|\displaystyle\geq\sum_{i=1}^{k}g_{t_{0}}(\phi_{t_{0}}(\tilde{h}_{t_{0}})(v_{i}),v_{i})-\sum_{i=1}^{k}|g_{t_{0}}(\phi_{t_{0}}(\tilde{h}_{t_{0}})(v_{i}),v_{i})-g_{t_{0}}(\phi_{t_{0}}(h_{t_{0}})(v_{i}),v_{i})|
i=1kgt0(ϕt0(h~t0)(vi),vi)k|ϕt0(ht0)ϕt0(h~t0)|g(t0)\displaystyle\geq\sum_{i=1}^{k}g_{t_{0}}(\phi_{t_{0}}(\tilde{h}_{t_{0}})(v_{i}),v_{i})-k|\phi_{t_{0}}(h_{t_{0}})-\phi_{t_{0}}(\tilde{h}_{t_{0}})|_{g(t_{0})}
2kKϵδ.\displaystyle\geq-2kK\epsilon\delta.

On the other hand, consider SVD frame and the function

f(p,t):=i=1kgt(h~t(Vi),Vi).f(p,t):=\sum_{i=1}^{k}g_{t}(\tilde{h}_{t}(V_{i}),V_{i}).

Then we have f(p,t)>0f(p,t)>0 for all t<t0t<t_{0}, and hence at (p0,t0)(p_{0},t_{0})

0(tΔ)f\displaystyle 0\geq\left(\frac{\partial}{\partial t}-\Delta\right)f =kϵ+i=1kgt0(ϕt0(ht0)(vi),vi)\displaystyle=k\epsilon+\sum_{i=1}^{k}g_{t_{0}}(\phi_{t_{0}}(h_{t_{0}})(v_{i}),v_{i})
kϵ2kKϵδ=kϵ(12Kδ).\displaystyle\geq k\epsilon-2kK\epsilon\delta=k\epsilon(1-2K\delta).

So, in this case, δ12K\delta\geq\frac{1}{2K}, and thus for every δ<12M+2K\delta<\frac{1}{2M+2K}, h~δ,ϵ=h+ϵ(δ+t)g(t)\tilde{h}_{\delta,\epsilon}=h+\epsilon(\delta+t)g(t) is non-negative on M×[0,δ]M\times[0,\delta]. By taking ϵ0+\epsilon\to 0^{+}, we deduce that hh is non-negative on M×[0,δ]M\times[0,\delta]. ∎

References