A GENERALIZED EXPANSION METHOD FOR COMPUTING LAPLACEBELTRAMI EIGENFUNCTIONS ON MANIFOLDS JACKSON C. TURNER ELENA CHERKAEV AND DONG WANG

2025-04-30 0 0 3.68MB 17 页 10玖币
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A GENERALIZED EXPANSION METHOD FOR COMPUTING
LAPLACE–BELTRAMI EIGENFUNCTIONS ON MANIFOLDS
JACKSON C. TURNER, ELENA CHERKAEV, AND DONG WANG
Abstract. Eigendecomposition of the Laplace–Beltrami operator is instrumental for a variety of
applications from physics to data science. We develop a numerical method of computation of the
eigenvalues and eigenfunctions of the Laplace–Beltrami operator on a smooth bounded domain
based on the relaxation to the Schr¨odinger operator with finite potential on a Riemannian manifold
and projection in a special basis. We prove spectral exactness of the method and provide examples
of calculated results and applications, particularly, in quantum billiards on manifolds.
1. Introduction
The Laplace–Beltrami operator plays an important role in the differential equations that describe
many physical systems. These include, for example, vibrating membranes, fluid flow, heat flow, and
solutions to the Schr¨odinger equation. Another example is that of spectral partitions—collections
of kpairwise disjoint open subsets such that the sum of their first Laplace–Beltrami eigenvalues
is minimal [13,14,38,39]. This has a wide class of applications including data classification [32],
interacting agents [18,16,19], and so on. In all the above applications, the fundamental question
is how to efficiently compute the eigenvalues of the Laplace–Beltrami operator in an arbitrary
domain with a proper boundary condition. Also, the Laplace–Beltrami operator is crucial to
understanding systems described by nonlinear Schr¨odinger equations, such as the propagation of
Langmuir waves in an ionized plasma [24,7], the single-particle ground-state wavefunction in a
Bose–Einstein condensate [7], the slowly-varying envelope of light waves in Kerr media [20], and
water surface wave packets [41].
The Laplace–Beltrami operator of a scalar function fon a Riemannian manifold (M, g) is defined
as the surface divergence of the vector field gradient of f,
(1.1) ∆gf=∇·∇f.
The divergence of a vector field Xwith metric gis (in Einstein notation)
(1.2) ∇ · X=1
p|g|ip|g|Xi,
and the gradient of a scalar function fis
(1.3) (grad f)i=if=gijjf.
Department of Applied Physics and Applied Mathematics, Columbia University, New York City
10027
Department of Mathematics, University of Utah, Salt Lake City 84112
School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Guangdong,
518172, China, Shenzhen International Center for Industrial and Applied Mathematics, Shenzhen
Research Institute of Big Data, Guangdong, 518172, China
E-mail addresses:jackson.turner@columbia.edu, elena@math.utah.edu, wangdong@cuhk.edu.cn.
2020 Mathematics Subject Classification. 35J05, 65N85, 47A70, 65N25,
Key words and phrases. Laplace operator, Laplace–Beltrami operator, fictitious domain methods, expansion
method, quantum billiards.
1
arXiv:2210.10982v1 [math.NA] 20 Oct 2022
From above, we obtain the Laplace–Beltrami operator acting on functions over (M, g),
(1.4) ∆gf=1
p|g|ip|g|gijjf.
In general, the Helmholtz equation (i.e. Laplace–Beltrami eigenvalue problem) with Dirichlet
boundary conditions on Ω (M, g) is
(1.5) (gu(x) = λu(x), x
u(x)=0, x .
In this paper, we develop a numerical method to find the eigenvalues and eigenfunctions of the
Laplace–Beltrami operator with Dirichlet and periodic boundary conditions for arbitrary domains
on various surfaces. The idea is highly motivated by the Schr¨odinger operator and is based off
the method given in [27]. By using the Schr¨odinger operator relaxation, we relax the eigenvalue
problem on an arbitrary domain into the eigenvalue problem for a Schr¨odinger operator on a regular
domain which is convenient for the numerical discretization.
In [34], comparable methods on manifolds using linear and cubic FEM operators and discrete
geometric Laplacians are explored, and [17] provides a method for hyperbolic domains. There is
extensive literature on the Laplacian for planar regions [26,29,12,8,1]. In methods for solving
nonlinear Schr¨odinger equations, finite difference discretizations of the Laplace operator are often
used [5,6,16]. It is likely many of these methods above can be extended to the Laplace–Beltrami
operator on manifolds. The method we present in this paper has some immediate advantages
over the finite difference method—since the boundary of domains are characterized by a potential
function (see Theorem 7), no creation of a complicated mesh is needed, allowing for more generic
domains and producing smooth solutions. Also, the method has promise to be quite robust in
discretizing the operator on domains with corners (as in Table I), especially in applications when
computation of many eigenvalues is required, whereas the finite difference method is notoriously
inefficient on such domains.
The rest of the paper is organized as follows. In Section 2, we recall the Schr¨odinger operator and
introduce the generalized expansion method. We discuss and prove the convergence and accuracy
of the relaxation and approximation in Section 3and show extensive numerical experiments in
Section 4. We investigate applications to spherical domains, periodic domains, and billiard problems
in Section 5and draw some conclusion in Section 6.
2. Generalized Expansion Method
The time-independent Schr¨odinger equation on a Riemannian manifold Mwith metric g, poten-
tial V(x), and energy levels Enis
(2.1) ˆ
Hψn(x)=[g+V(x)]ψn(x) = Enψn(x),
where ∆gis the Laplace–Beltrami operator on (M, g) as in (1.4). The Schr¨odinger equation is an
eigenvalue problem for the Schr¨odinger operator ˆ
H=g+V(x). When
(2.2) V(x) = 0x
x6∈ ,
the eigenvalue problem for ˆ
His equivalent to (1.5). Eigenfunctions are normalized by setting
(2.3) Z|ψn(x)|2dx = 1,
where |ψn(x)|2dx is a probability density.
2
In [27], a method is given to solve (1.5) with g=I2on any bounded smooth Ω R2by embedding
it in a rectangle, as in Figure 1. In order to evaluate the Laplace–Beltrami eigenvalues for Ω on
a 2-D surface, we generalize this method when considering Ω as a smooth subset of a bounded
manifold S= (M, g) using a complete set of orthonormal eigenfunctions FS
={φn}
n=1 on Swith
corresponding eigenvalues {λn(S)}
n=1 (with λ1< λ2λ3. . . ). Here, we assume all φn∈ FS
have Dirichlet boundary conditions on S, but for cases when |S|>0, one may choose to
use other boundary conditions to obtain solutions of (1.5) with u|xS 6≡ 0, as in the periodic
examples in Section 5.2.
S
Figure 1. With the expansion method, a bounded domain Ω is embedded onto a rectangle
Swith euclidean geometry and ˆ
His projected onto FS
N.
In this method, we use FS
N={φn}N
n=1 as a basis on which we expand the operator ˆ
Hand seek
solutions of (1.5), or the equivalent equation involving the eigenvalue problem of the Schr¨odinger
operator ˆ
H,
(2.4) ˆ
Hψ(x) = hg+˜
V(x)iψ(x) = λψ(x),
with ˜
V(x) defined as
(2.5) ˜
V(x) = 0x
xS\.
We approximate ˜
V(x) as
(2.6) V(x) = V0χS\(x) = 0x
V01xS\.
This allows us to discretize the operator ˆ
HHN,
(2.7) HNnm =hφn,ˆ
Hφmi=λS
nδnm +ZS
V(x)φ
nφmdx,
where we truncate n, m N. The eigenvalues and eigenvectors of HNapproximate those of ˆ
H.
3. Convergence analysis
In this section, we provide a rigorous proof on the convergence of the proposed method in the
sense of V0→ ∞ and N→ ∞. To keep self-consistency of the paper, we first recall some definitions
and preliminary results from [25,36,22].
3
Definition 1. Suppose Anand Aare self-adjoint operators. We say that Anconverges to Ain the
strong resolvent sense, if
(3.1) k(RAn(z)RA(z))φk → 0,φD(An)
for some zΓ = C\Σ,Σ = σ(A)Snσ(An)where the function RA(z)is the resolvent of A.
Definition 2. A subset D0D(A)is a core of Awhen {(x, Ax) : xD0}is dense in {(x, Ax) :
xD(A)}.
Lemma 3. (6.36 of [36]): Let An, A be self-adjoint operators. Then Anconverges to Ain the
strong resolvent sense if there is a core D0of Asuch that for any ψD0we have PnψD(An)
for nsufficiently large and AnPnψ.
Theorem 4. (6.38 of [36]). Let Anand Abe self-adjoint operators. If Anconverges to Ain the
strong resolvent sense, we have σ(A)limn→∞ σ(An).
Theorem 5. (2.2.3 of [25]). Let Lnbe a sequence of uniformly elliptic operators defined on an
open set Dby
(3.2) Lnu:=
N
X
i,j=1
xian
ij(x)u
xj+an
0(x)u.
We assume that, for fixed i, j, the sequence an
i,j is bounded in Land converge almost everywhere
to a function ai,j; we also assume that the sequence an
0is bounded in Land converges weakly-*
in Lto a function a0. Let Lbe the (elliptic) operator defined on Das in (3.2)by the functions
ai,j and a0. Then each eigenvalue of Lnconverges to the corresponding eigenvalue of L.
Theorem 6. (9.29 of [22]) Let uW2,p(S)C0(¯
S)satisfy Lu =fin S, u =ϕon S where
fLp(S), ϕ Cβ(¯
S)for some β > 0, and suppose that S satisfies a uniform exterior cone
condition. Then uCα(¯
S)for some α > 0.
Now, we prove spectral exactness of the expansion method in V0and Nin Theorems 7and 9.
We give an example of calculating solutions and the rate of convergence in V0of eigenvalues for the
relaxed problem on an interval in Example 8. We provide intuition for efficient implementation of
the expansion method in Remark 10.
Theorem 7. The eigenvalues of the Schr¨odinger operator
(3.3) ˆ
H(V0) = g+V(x), V (x) = 0, x
V0, x 6∈
acting on a bounded Riemannan manifold (M, g), with smooth in (M, g)converge monotonically
to the eigenvalues of gwith Dirichlet boundary conditions on as V0→ ∞.
Proof. By considering the volume form on the manifold, we have the inner product:
(3.4) hf1, f2ig=ZM
f1(x)f2(x)(det g)1/2dx1···dxn
Now, from the Rayleigh quotient of an elliptic linear operator Lon a Riemannian manifold (M, g),
(3.5) R(L, u) = hu, Luig
hu, uig
,
we have
(3.6) R(ˆ
H(V0), u) = hu, guig
hu, uig
+hu, V uig
hu, uig
.
4
摘要:

AGENERALIZEDEXPANSIONMETHODFORCOMPUTINGLAPLACE{BELTRAMIEIGENFUNCTIONSONMANIFOLDSJACKSONC.TURNER,ELENACHERKAEV,ANDDONGWANGAbstract.EigendecompositionoftheLaplace{Beltramioperatorisinstrumentalforavarietyofapplicationsfromphysicstodatascience.Wedevelopanumericalmethodofcomputationoftheeigenvaluesandei...

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