分类: Spectral geometry

  • Laplace 谱、Rayleigh quotient 与无限维 Morse 图像

    旧博客原文

    原题:Two stupid question

    The story of the infinite dimensional space of $\Delta$ is following, we eliminate ourself with compact smooth non-boundary manifold $M$ with metric $g$, then we have Betrami-Laplace operator $\Delta_g$. We could instead $\Delta_g$ by hodge laplace $dd^*+d^*d$, but let we consider $\Delta_g$ the eigenvalue problem:
    $$\Delta_g u=\lambda u$$
    A classical way to investigate the eigenvalue problem is according to consider variational principle and max-min principle. We equip the path integral on the function space $C^{\infty}(M)$:
    $$E(f)=\frac{\int_M |\nabla u|^2}{\int_M |u|^2 }$$
    Then it have a sequences of eigenvalue, negative of course: $$0<-\lambda_1<-\lambda_2<…<\lambda_k<…$$

    Then things become interesting, the morse theory of infinite space involve, called the infinite space as $X$, so at least, shrink the far place of $X$ as a point, in physics, this mean, cut off at fix scale. And we can take the scale to infinite small, we use the cutoff one to approximation the real one. What I can do is the following, I can proof the eigenvalue function is uniformly distributed in $L^2(M_g)$ (after rescaling of course) and the classical weyl law(although can not give a good error term estimate), but thing become more complicated when I try to consider the infinite space $X_{M_g}$’s topology, at finite scale at least, i.e. $X_{M_g}^{h}$ which is the cut off at scale $h$. Among the other thing, I believe the following issue is true, but without ability to proof it:

    >**Problem**
    for every manifold $M$ and metric $g$ on $M$, the topology of infinite space $X_{M_g}$ is the same, beside this, the inverse could be true, i.e. If $X_{M_1},X_{M_2}$ is not homomorphism for some scale $h$ then $M_1,M_2$ is not homomorphism.

     

     

     

     

     

    By intuition, I think it is depend by the underling manifold’s topology. But I do not have a rigorous proof, I definitely have a non-rigorous one, if ignore the coverage…

    As I find this problem when I try to give a proof of weyl law, I do not check the reference, may be this problem is a classical one? As always, I will appreciate to any interesting comments and answers, thanks a lots!A

     

     

     

     

     

     

     

    2.

    We begin with our favorite situation, the Dirchlet problem on bounded simple-connected domain $\Omega$ in $\mathbb R^n$. Let $\lambda_1$ be the first eigenvalue of $$\Delta u=\lambda u \ in\ \Omega$$
    $$u=0\ \ on\ \partial\Omega$$
    Rescaling $u$ such that $\sup_{\Omega} u=1$, I think the following property of the first eigenvalue is true.
    >**Problem**
    We have, the Minkowski functional of $\Omega$, called $M_{\Omega}$ and the Minkowski functional with the ball $B$ such that $vol(B)=vol(\Omega)$, then along the level set of $u$, i.e. the fiber: $$\Omega=\cup_{t\in [0,1]}l_t, l_t:=\{t|x\in \Omega, u(x)=t\}$$
    We pretend for the isolate point $l_1$ to be a ball with radius 0, so equipped it with the uniformly density at every direction in $S^1$, i.e. the mass distribution given by $M_B$ and the total mass coincide with the total mass induce by $M_{\Omega}$ in $l_0$, i.e.
    $$\int_{e\in S_1}M_{\Omega}(e)d\mu=\int_{e\in S_1}M_{B}(e)d\mu$$
    The measure $d\mu$ equipped on $S^1$ is the natural Haar measure. And the cost function is given by $c(x,y)=\|x-y\|^2$. Then, among this setting,
    I wish the following property to be true:
    Along the direction $1\to 0$, the transport of density $\partial_{t_0} M_{\cup_{t=t_0}^1l_t}$ given the unique optimal transport of the natural measure induce by $M(\Omega)$ and $M(B)$.

    **Remark 1** As point out by SebastianGoette, the multiplicity of the first eigenvalue must be one, thanks to the eigenfunction never change the symbol, so we are in the best case.

    **Remark 2**:I am not very sure this property could always true, there may be a center example when $\Omega$ is not convex, but I tend to believe it is true at least when $\Omega$ is convex.

    **Remark 3**: As point out by Dirk, when you try to consider the optimal transport problem, you always need to point out the cost function $c(x,y)$ defined on $\Omega \times \Omega$, for there, I think the naive choice is $c(x,y)=\|x-y\|^2$

     

    The thing I can proof is the following, the level set of $u$ should be convex by brunn-minkowski inequality, and some type of monotonically property, i.e. more and more like a ball when the level set is more and more shirking smaller form $\partial \Omega$ to the point $f$ arrive maximum.

    I will appreciate for any relevant comments and answer, thanks!

     

     


    补充说明

    以下是新整理的中文说明;上方旧博客原文保持不变。

    Laplace 特征值问题可以看成无限维函数空间上的变分问题。Rayleigh quotient 的临界点给出 eigenfunctions,min-max principle 给出 eigenvalues。这种图像很像 Morse theory,只是空间变成了无限维。

    Laplace 谱、Rayleigh quotient 与无限维 Morse 图像
    Laplace 特征值可以由 Rayleigh quotient 的 min-max 原理得到,形成无限维 Morse 图像。

    1. Laplace 特征值问题

    在紧无边界 Riemannian manifold 上,考虑

    $$-\Delta_g u=\lambda u.$$

    谱离散,特征值可以排成

    $$0=\lambda_0<\lambda_1\le\lambda_2\le\cdots\to\infty.$$

    2. Rayleigh quotient

    定义

    $$E(u)=\frac{\int_M|\nabla u|^2\,dV_g}{\int_M|u|^2\,dV_g}.$$

    在 $L^2$ 单位球上,$E$ 的临界点正是 Laplace eigenfunctions。第一非零特征值是与常数正交的函数中 $E$ 的最小值。

    3. Min-max principle

    第 $k$ 个特征值可由

    $$\lambda_k=\inf_{\dim V=k+1}\sup_{u\in V\setminus\{0\}}E(u)$$

    给出。这个公式把谱问题转成函数空间中的拓扑/变分问题。

    4. 无限维 Morse 图像

    在有限维 Morse theory 中,临界点和拓扑变化有关。Laplace 特征函数也可以看成 Rayleigh quotient 的临界点;其 Morse index 与低于该特征值的谱空间维数相关。

    5. 与 Weyl law 的关系

    Weyl law 告诉我们高能临界点的数量增长率。变分图像解释 eigenfunctions 从哪里来,Weyl law 则解释这些临界点在高频区域有多密。

  • Weyl law:特征值计数、相空间体积与热核直觉

    旧博客原文

    原题:Weyl law

    In 1911 year, when Weyl is a young mathematician specticlizing in integrable system and PDE, He proved the important result about the asystomztion of eigenvalues of Dirichelet problem in \Omega\subset R^n is a compact domain;i.e.

    N(\lambda)=(2\pi)^d Vol(\Omega)\lambda^{\frac{d}{2}}(1+o(1))

    Which in fact is a conjecture of *** in *** in published in 1910.

    This is definitely a very amazing achievement of mathematician, The realist meaning we can actually charge with the spectrum asyspesion.

    In fact, we know, the only thing we know is that the eigenfunction with different spectrum is orthogonal and we have are a cretition named maximum-minmum principle for the k eigenvalue. but how could we charge with the asymotum of them? It seems not to be chargeable, though we have a L^2 isometry, the spectrum expansion, ut it still not seems to be chargeable the main difficult come from the compacness this just mean a divide of the whole space, and we consider the X-ray tansigation from every point to the whole space, it need to be passion kernel, or we change it to be a pare matrix.

     

    Yes, We can just look this phenomenon as there are two different world, one is the real world in the Ecliud space, there other is the a wave function world, in the second world it is composted by the unique of the solution u for \Delta u=\lambda u for some eigenvalue \lambda and all units in this world is the translation and rescaling of u. Then thing become interesting, now how to understand the other guy, i.e. the other eigenvalue and eigenfunctions? They must be the u after some translation combine with rescaling and trslation and rotation!!! so there is a dynamic system action on it! and if we only let it to be affine map,i.e. combine only taslation and rotation, then we just get the all eigenfunctions with the same eigenvalue.

    Now let us see what is it, it is just need to be compatible with the boundary condition, so it need to be moduli space that the boundary map is a measure that is arrive able by only affine translation of the function (we look it as a obsevalbel) So it is a restriction from a high dimensional space to the boundary of it.  and very fortunately it could assume a

     

     


    补充说明

    以下是新整理的中文说明;上方旧博客原文保持不变。

    Weyl law 描述 Laplace 算子特征值的渐近分布。它说明高频谱的主要项只看区域体积和相空间体积,而不看边界的细节。

    Weyl law:特征值计数、相空间体积与热核直觉
    Weyl law 把 Laplace 特征值计数的主项解释为 phase space volume。

    1. Dirichlet 特征值问题

    设 $\Omega\subset\mathbb R^n$ 有界,考虑

    $$-\Delta u=\lambda u,\qquad u|_{\partial\Omega}=0.$$

    特征值排成

    $$0<\lambda_1\le\lambda_2\le\cdots\to\infty.$$

    定义计数函数 $N(\lambda)=\#\{j:\lambda_j\le\lambda\}$。

    2. Weyl 渐近

    Weyl law 说

    $$N(\lambda)\sim \frac{\omega_n}{(2\pi)^n}|\Omega|\lambda^{n/2}.$$

    右边正是相空间中

    $$\{(x,\xi):x\in\Omega,\ |\xi|^2\le\lambda\}$$

    的体积除以 $(2\pi)^n$。

    3. 为什么是相空间体积

    高频 eigenfunctions 局部上像平面波 $e^{ix\cdot\xi}$。频率满足 $|\xi|^2\le\lambda$,位置在 $\Omega$ 中。于是特征态数量近似等于可用 phase space cells 的数量。

    4. 热核证明直觉

    热 trace 为

    $$\operatorname{Tr}(e^{t\Delta})=\sum_j e^{-t\lambda_j}.$$

    当 $t\to0$,热核对角线主项为

    $$K_t(x,x)\sim (4\pi t)^{-n/2}.$$

    积分得到 trace 主项,再由 Tauberian theorem 推出 Weyl law。

    5. 边界和低阶项

    边界会出现在下一阶项中。主项只看体积,边界面积、曲率和动力学信息会在更细的谱渐近或余项估计中出现。这正是谱几何的入口。

  • Laplace 特征函数的 nodal set:Dong identity 与 Hausdorff measure 下界

    旧博客原文

    原题:Hausdorff Dimension Of Nodal Set

    Basic setting:
    Let (M,g) be a compact C^\infty Riemannian manifold of dimension n, let \phi_{\lambda} be an L^2– normalized eigenfunction of the Laplacian:

    \Delta \phi_{\lambda} = −\lambda^2 \phi_{\lambda}\$  and let:latex N \phi_{\lambda} =\{x:\phi_{\lambda}(x)=0\}$
    be its nodal hypersurface. Let H^{n−1}(N\phi_{\lambda} ) denote its (n-1)-dimensional Riemannian hypersurface measure. In this note we prove:
    Theorem:

    for and C^\infty metric g,there exists a constant C_g > 0 so that:
    H^{n-1}(N_{\phi_{\lambda}}) \leq C_g \lambda^{n}

    A crucial identity:
    proof of theorem 1 is based on following identity:
    theorem:
    for any smooth Riemannn manifold M,we have,
    \lambda^2\int_{M}|\phi_{\lambda}|dV = 2\int_{N_{\phi_{\lambda}}} |\nabla\phi_{\lambda}|dS
    moreover,\forall f \in C^2(M),
    \int_M(\Delta+\lambda^2)f \vert\phi_{\lambda}\vert dV=2\int_{N_{\phi_{\lambda}}} \vert\nabla\phi_{\lambda}\vert dS

    Proof:
    observed we have that,
    M=N_{\phi_{\lambda}}^+ \cup N_{\phi_{\lambda}} \cup N_{\phi_{\lambda}}^
    on N_{\phi_{\lambda}}^+,use divergence theorem:
    \begin{eqnarray*}
    \int_M(\Delta+\lambda^2)f \phi_{\lambda} dV&=&\int_M(\Delta+\lambda^2)\phi_{\lambda}f dV+\int_{\partial M} -g(\upsilon,\phi_{\lambda}\nabla f)dS+\int_{\partial M} g(\upsilon,f\nabla\phi_{\lambda})dS\\
    &=&\int_{\partial M} g(\upsilon,f\nabla\phi_{\lambda}) \\
    &=&\int_{\partial M} f\phi_{\lambda}dS
    \end{eqnarray*}
    the same identity is true on N_{\phi_{\lambda}}^-
    so we have:
    \int_M(\Delta+\lambda^2)f \vert\phi_{\lambda}\vert dV=2\int_{N_{\phi_{\lambda}}} \vert\nabla\phi_{\lambda}\vert dS

    Estimate hausdorff measure of nodal sets:
    take f=1 in theorem 2,we have:
    \lambda^2\int_M\vert\phi_{\lambda}\vert dV=2\int_{N_{\phi_{\lambda}}} \vert\nabla\phi_{\lambda}\vert dS
    so to get estimate hausdorff measure of nodal sets,we need to estimate:
    ||\phi_{\lambda}||_1,$||\nabla\phi_{\lambda}||_{\infty}$ ,this two guys are easy to get good estumate….and we will get a lower bound estimate of measure of nodal set:
    H^{n-1}(N_{\phi_{\lambda}}) \geq \frac{\lambda^2||\phi_{\lambda}||_1}{2||\nabla\phi_{\lambda}||_{\infty}}

     

    Estimate:
    ||\phi_{\lambda}||_1,||\nabla\phi_{\lambda}||_{\infty}
    ||\phi_{\lambda}||_1:

    normalized L_2 norm of \phi_{\lambda}

    ||\nabla\phi_{\lambda}||_{\infty}:
    we have a yau types gradients estimate

    Estimate upper bound of measure:
    to get upper bound estimate,from identity we need to estimate:||\phi_{\lambda}||_1,||\nabla\phi_{\lambda}||_{\infty},and we will get:
    H^{n-1}(N_{\phi_{\lambda}}) \leq \frac{\lambda^2||\phi_{\lambda}||_1}{2\int_{N_{\phi_{\lambda}}} |\nabla\phi_{\lambda}|dS}

     

     

     

     


    补充说明

    以下是新整理的中文说明;上方旧博客原文保持不变。

    Laplace 特征函数的 nodal set 是

    $$N_\lambda=\{x:\phi_\lambda(x)=0\}.$$

    它的大小反映了 eigenfunction 的振荡。Yau 猜想预言在光滑紧流形上,nodal hypersurface 的测度与 $\lambda$ 同阶。

    Laplace 特征函数的 nodal set:Dong identity 与 Hausdorff measure 下界
    Laplace 特征函数的 nodal set 测度可通过 Dong identity 与梯度估计联系起来。

    1. 基本设定

    $$-\Delta\phi_\lambda=\lambda^2\phi_\lambda,\qquad \|\phi_\lambda\|_2=1.$$

    nodal set 通常是一个维数 $n-1$ 的几何对象,但可能带有奇异点。

    2. Dong identity

    一个关键恒等式是:对光滑函数 $f$,

    $$\int_M(\Delta+\lambda^2)f\,|\phi_\lambda|\,dV
    =2\int_{N_\lambda} f|\nabla\phi_\lambda|\,dS.$$

    它把 nodal set 上的积分转成整个流形上的积分。

    3. 下界策略

    取 $f=1$,得到

    $$\lambda^2\int_M|\phi_\lambda|\,dV
    =2\int_{N_\lambda}|\nabla\phi_\lambda|\,dS.$$

    于是

    $$\mathcal H^{n-1}(N_\lambda)\gtrsim
    \frac{\lambda^2\|\phi_\lambda\|_1}{\|\nabla\phi_\lambda\|_\infty}.$$

    4. 需要的两个估计

    要得到 nodal measure 下界,需要控制 $\|\phi_\lambda\|_1$ 的下界和 $\|\nabla\phi_\lambda\|_\infty$ 的上界。后者来自 elliptic estimates 或 spectral cluster estimates。

    5. 几何意义

    nodal set 是 eigenfunction 改变符号的地方。特征值越大,振荡越快,nodal set 应该越大。Dong identity 精确表达了这种振荡与零集几何之间的关系。