The absolute spectrum revisited from a topological viewpoint
Ayuki Sekisaka

TL;DR
This paper revisits the spectral analysis of linear operators related to traveling wave stability, using topological methods to understand the absolute spectrum and its relation to eigenvalue accumulation.
Contribution
It provides new topological proofs connecting the spectral behavior of operators with the geometry of Grassmannian manifolds and Schubert cycles.
Findings
Eigenfunctions induce curves on Grassmannian manifolds.
Decomposition of Grassmannian into submanifolds aids spectral analysis.
Topological framework offers new insights into spectral accumulation sets.
Abstract
We consider the topological relation behind the spectral behavior of a linear operator that arises in the stability problem of traveling waves on a large bounded domain. When the domain size tends to infinity, the absolute and asymptotic essential spectra appears as accumulation sets of eigenvalues under separated and periodic boundary conditions, respectively. We present new proofs of Sandstede and Scheel [Theorems 4 and 5 of [14]] in a topological framework. The eigenfunction induces a curve on the Grassmannian manifold. To extract topological information from them, we decompose the Grassmannian into the submanifolds using the Schubert cycles, and analyze the curves on each submanifolds.
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Spectral Theory in Mathematical Physics · Quantum chaos and dynamical systems
The absolute spectrum revisited from a topological viewpoint
Ayuki Sekisaka
Meiji Institute for Advanced Study of
Mathematical Sciences, Meiji University,
8F High-Rise Wing, Nakano
4-21-1 Nakano, Nakano-ku, Tokyo, Japan.
E-mail:[email protected]
Abstract
We consider the topological relation behind the spectral behavior of a linear operator that arises in the stability problem of traveling waves on a large bounded domain. When the domain size tends to infinity, the absolute and asymptotic essential spectra appears as accumulation sets of eigenvalues under separated and periodic boundary conditions, respectively. We present new proofs of Sandstede and Scheel [Theorems 4 and 5 of [14]] in a topological framework. The eigenfunction induces a curve on the Grassmannian manifold. To extract topological information from them, we decompose the Grassmannian into the submanifolds using the Schubert cycles, and analyze the curves on each submanifolds.
**keywords **absolute spectrum; essential spectrum; topological method
**AMS **34, 37
1 Introduction
We first consider the stability problem of traveling wave solutions for reaction-diffusion systems on the bounded interval with the boundary conditions
[TABLE]
Let be a diagonal positive matrix, and be a smooth function. The eigenvalue problem for a traveling wave solution comes from the linearization
[TABLE]
in the moving frame of where is the wave speed. We rewrite the eigenvalue problem (2) as a first-order system of
[TABLE]
where and is a matrix. We reformulate the spectral problem of the family of linear operators with respect to the parameter on the bounded interval :
[TABLE]
for the Sobolev space of functions where bd indicates two classes of boundary conditions, i.e., separated or periodic boundary conditions. We note that on the real line. It is well known that the spectrum of the linear operator consists solely of eigenvalues on the bounded domain, whereas the essential spectrum appears on the unbounded domain. What has attracted mathematical interest is the manner in which the spectral behavior changes when the unbounded domain is truncated to a bounded interval depending on the imposed boundary conditions.
For the stability problem of traveling wave solutions to reaction-diffusion systems, Sandstede and Scheel [14] introduced the so-called absolute spectrum as the accumulation sets of eigenvalues when the domain size becomes infinite under the separated boundary conditions. For the periodic boundary condition, the absolute spectra are embedded in the boundary of the essential spectra as . Sandstede and Scheel also investigated the accumulation of eigenvalues arising from the problem in which two unstable front solutions form one stable glued pulse solution. The absolute spectra play a crucial role in determining the instability of the pulse solution when the pulse width becomes infinite.
The spectral behavior of the linear operator has also been discussed in relation to the topological properties of the relevant manifold. Alexander, Gardner and Jones [1] shed light on some geometrical aspects of the stability problem of traveling wave solutions on the unbounded domain, and later examined stability over the bounded domain [5]. Introducing a stability index as the first Chern number of a complex vector bundle on a sphere (i.e. homeomorphic to a projective space ), they provided the topological structure behind Evans function theory, in which the eigenvalues of the operator coincide with zeros of a certain analytic function constructed from the analytic basis spanning the solution manifolds of (3) [2]. On the bounded domain, the eigenvalues accumulate into the essential spectrum as if the coefficient matrix satisfies the periodic conditions [3]. Nii [10] gave a topological viewpoint of the accumulation behavior of eigenvalues and also proposed another approach to the stability problem of glued pulse solutions. However, the scope of his approach based on the complex line bundle was limited to relatively low- dimensional ordinary differential equations (ODEs), corresponding to the specific reaction-diffusion systems of the FitzHugh–Nagumo equations.
The present study has its roots in the important work described above. Most of the remainder of this paper is devoted to further proofs of two theorems given by Sandstede and Scheel [Theorem 4 on p.261 and 5 on p.265 of [14]], related to the accumulation behavior of the eigenvalues of the linear operator in (4). The proofs presented by Sandstede and Scheel used analytical techniques, i.e., the construction of a generalized Evans function to introduce exponential weights to the functional space, and bifurcation analysis using the Lyapunov–Schmidt reduction. In fact, the entire phase space of (3) is divided into two subspaces, the -dimensional unstable subspace of and the -dimensional stable subspace of . The absolute spectrum for (4) is then defined as
[TABLE]
where we label the eigenvalues of , for , according to their real part as . We define the map on the complex Grassmanian , corresponding to the reformulated system. The existence problem for the eigenvalues of turns out to be equivalent to the existence problem for the one-dimensional curve . Hence, is an eigenvalue of if and only if the curve intersects with on .
First, we show that the curve is diffeomorphic to a curve on the one-dimensional Schubert cycle on . Next, we show that coincides with the one-codimensional Schubert cycle, and that intersects transversally for sufficiently large . As varies, the topological measurement of the curve corresponding to the winding number changes, and at this point an eigenvalue appears in the original problem (2). Finally, we give topological proofs for two theorems of Sandstede and Scheel [14], in which the eigenvalues accumulate on the absolute spectrum if and only if the number of intersections between and becomes infinite as .
Although a large number of studies have been made on stability problems of traveling waves for multi-component reaction-diffusion systems, little is known about the topological relation behind the spectral behavior of the linear operator and dynamical systems that arise in the stability problem of traveling waves. We expect that the topological results of the stability problem of traveling wave solutions for the FitzHugh–Nagumo equations (e.g., [8], [9], [10]) can be extended to multi-component reaction-diffusion systems.
The remainder of this paper is organized as follows. In Section 2, we describe the structural hypotheses needed to prove the theorems in a topological framework. Some settings used in [14] are rewritten from a geometrical viewpoint. In Section 3, we address the main subject of this paper, proving theorems on the accumulation behavior of eigenvalues of the linear operator .
2 Structural hypothesis
We consider an abstract system of partial differential equations of the form
[TABLE]
The behavior of infinitesimal perturbations of the traveling wave with a moving frame is determined by eigenvalues of the linear operator:
[TABLE]
We assume that the eigenvalue problem can be rewritten as a system of first-order ODEs. We obtain the following system on :
[TABLE]
where depends on the dimension of and the higher-order derivatives in . It is convenient to pose the eigenvalue problem in the general form of (6) rather than to begin with the partial differential equations, because several types of equations will lead to matrices with somewhat different forms. For example, problems involving traveling waves for reaction-diffusion systems, the generalized KdV equation, and the Boussinesq equations can be rewritten in the form of (6) [14], [4].
We treat the first-order system (6) as the family of linear operators with two classes of boundary conditions. The correct function space for separated boundary conditions is given by
[TABLE]
and we consider the linear operator
[TABLE]
Note that can be realized by several boundary conditions that are induced by boundary operators . However, it cannot be realized by periodic boundary conditions.
Similarly, the function space for periodic boundary conditions is given by
[TABLE]
and we consider the linear operator
[TABLE]
Throughout this paper, we assume that is smooth in and analytic in . Under the above derivation, our main interest is the accumulation of eigenvalues of (resp. ) with the parameter in the B-spectrum (see [6]).
Definition 2.1**.**
We say that is in the spectrum of if is not invertible. is in the point spectrum of if is a Fredholm operator with index zero. The complement is called the essential spectrum.
The following fact is well known.
Fact 2.2**.**
[13]**. The operators (resp. ) on the bounded interval with separated boundary conditions (resp. periodic boundary conditions) are Fredholm with index zero for all .
Consequently, consists of only eigenvalues. In [13], Sandstede and Scheel proved that eigenvalues of accumulate in a specific curve, the so-called absolute spectrum. We may characterize the absolute spectrum of topologically for large values of .
2.1 Case 1: Separated boundary condition
First, we assume that has the asymptotic matrices on a bounded, open domain .
Hypothesis 1**.**
For any , has the following property We assume that is locally constant outside a compact interval , i.e.,
[TABLE]
where depend analytically on .
We assume the boundary subspaces satisfy the following hypothesis.
Hypothesis 2**.**
[TABLE]
and .
We label the eigenvalues of according to their real part, and repeat them according to their multiplicity, i.e.,
[TABLE]
We define then the absolute spectrum for as follows.
Definition 2.3**.**
(The absolute spectrum, [14]). consists of satisfying . Analogously, consists of satisfying . Then the absolute spectrum is given by
[TABLE]
The absolute spectrum is not the spectrum for . However, eigenvalues of accumulate on this subset when . Roughly speaking, it is the set of accumulation points of eigenvalues with respect to .
Another key hypothesis concerns a generic property of eigenvalues of on the absolute spectrum. In particular, the absolute spectrum induces the curve in the Grassmannian manifold via the flow induced by (6). Hence, this generic property gives several properties to the induced curve.
Definition 2.4**.**
(Non-degenerate absolute spectrum). The subset is defined as follows. It is dense in , and satisfies the following conditions.
[TABLE]
, and
[TABLE]
Moreover, for any , there exists such that
[TABLE]
holds for each and any , where is a -ball centered at .
Note that the set consists of curve segments. In [13], is called the reducible absolute spectrum. However, we call the non-degenerate absolute spectrum to emphasize the generic property of eigenvalues. By this definition of the non-degenerate absolute spectrum , we can take small such that consists of two half disks and with the following properties.
Property 1**.**
[TABLE]
for any , and we fix the order,
[TABLE]
for any .
Throughout this paper, we always take satisfying the above properties.
We assume that exists in .
Hypothesis 3**.**
.
We obtain the topological information from the dynamics induced by the condition . In particular, the relationship between generalized eigenspaces associated with and boundary subspaces gives one of most important structures.
Hypothesis 4**.**
(Transversality). Let and be generalized eigenspaces associated with and , respectively. We assume that and are in a general position for any . Similarly, and are in general positions for any . That is,
[TABLE]
*In addition, is not contained in for any and , and is not contained in for any and . *
Remark 2.5**.**
Under Hypotheses 2 and 4, , and . Hence,
[TABLE]
2.2 Case 2: Periodic boundary conditions
Under periodic boundary conditions, we assume that the asymptotic matrices are equal to one another.
Hypothesis 5**.**
We assume that satisfies
[TABLE]
where depends analytically on .
Note that linear subspaces in cannot realize periodic boundary conditions for (6). Therefore, we transform the periodic boundary conditions to the separated boundary conditions using the stability index theory for -eigenvalue problems [4].
Consider equation (6) with additional equations so as to express the periodic conditions as separated boundary conditions,
[TABLE]
or simply
[TABLE]
In addition, we set . By the above derivation, the periodic boundary conditions are transformed to the separated boundary conditions. We assume that the eigenvalues of are ordered such that
[TABLE]
and consider the absolute spectrum for (15). For separated boundary conditions, the definition of the absolute spectrum depends on the dimension of the boundary subspaces , that is, . However, the dimension of the boundary subspaces for periodic boundary conditions cannot be determined from (6) because the eigenvalues of then satisfy
[TABLE]
and the dimension of is always equal to . Therefore, we define the set of accumulation points of eigenvalues for as follows.
Definition 2.6**.**
(Extrapolated essential spectral set, [14]). is not in the extrapolated essential spectral set of the family if there exists , , and such that has at most eigenvalues in for any .
The extrapolated essential spectral set was defined in [14], and characterizes the accumulation of eigenvalues in several cases. We define two algebraic curves known as the asymptotic essential spectrum and the non-degenerate essential spectrum.
Definition 2.7**.**
(Asymptotic essential spectrum [14]). is in the asymptotic essential spectrum if is not hyperbolic, that is,
[TABLE]
where is spectral set of .
Note that is the essential spectrum for which is defined by
[TABLE]
where as exponentially.
Definition 2.8**.**
(Non-degenerate essential spectrum). The so-called non-degenerate essential spectrum is defined as follows: is dense in , and satisfies the following conditions. , and
[TABLE]
Moreover, for any , there exists such that
[TABLE]
holds for each and any , where is a -ball centered at .
In [14], is called the reducible essential spectrum. However, we can add to its generic properties. Therefore, we can take small such that consists of two half-disks and with the following property.
Property 2**.**
[TABLE]
for any , and
[TABLE]
for any .
In the case of periodic boundary conditions, we always take satisfying property 2.
We assume that exists.
Hypothesis 6**.**
.
Let be a dimensional generalized eigenspace associated with , , and be a fundamental solution matrix for (15). We then assume the following transversality of and .
Hypothesis 7**.**
(Transversality) For any , there exists such that
[TABLE]
for any . Moreover, for any .
This hypothesis means that .
Note that -eigenvalues are defined by the following conditions. Define the subspace where satisfies . Then is -eigenvalue of if and only if there exists a nontrivial solution of (15) satisfying . We can consider the case of the -eigenvalue of .
3
3.1 Main results
Under the above conditions, eigenvalues accumulate on the absolute spectrum associated with separated boundary conditions, and accumulate on the asymptotic essential spectrum associated with periodic boundary conditions.
Theorem 1**.**
(Case of separated boundary conditions). Let be a -ball centered at a . Hypotheses 1-4 are satisfied. Then, for any and , there exists such that the family has at least eigenvalues in for any .
Theorem 2**.**
(Case of periodic boundary conditions). Hypotheses 5-7 are satisfied. Then, .
Theorem 1 (resp. Theorem 2) holds if we replace the asymptotic matrices with periodic matrices (resp. ). In such a case, (resp. ) is defined by the eigenvalues of the monodromy matrices (resp. ). However, most of the proof is unchanged. Of course, Theorem 1 holds even if the asymptotic constant cases and periodic case are mixed.
Theorem 1 and Theorem 2 were proved by Sandstede and Scheel [13] using analytical methods, and Theorem 2 has been essentially proved by Gardner [3]. In the following sections, we give topological proofs of these theorems using a generalization and extension of Nii’s arguments in [10].
For Theorem 2, we emphasize that our result holds even if takes another value, because we only use the topological transversality of and .
3.2 Proof of Theorem 1
We only show the accumulation of eigenvalues on . Therefore, we assume that is not the empty set. The proof for the case of is exactly the same if we take the backward orbit.
Let be the fundamental solution matrix for (6) defined by
[TABLE]
Since , is an -dimensional subspace of for fixed and , and is an -dimensional subspace. The eigenvalue problem of can then be rewritten as follows.
Lemma 3.1**.**
* is an eigenvalue of if and only if .*
The fundamental solution matrix acts on any subspaces of . Therefore it induces a flow on the Grassmann manifold for any . We rewrite the eigenvalue problem of with respect to the existence of specific connecting orbits. Consider the system on induced by (6)
[TABLE]
where . Since is an -dimensional subspace of , is a subset in .
Let be a solution of (20) satisfying . This corresponds to the projectivization . Define the right-side boundary condition of (20) by
[TABLE]
In addition, we define a subset as follows.
Let us set , and take the flag in . We then set
[TABLE]
and are called the Schubert cycles on (see [7]). Using the Schubert calculus, we have the following properties.
Lemma 3.2**.**
* and are -codimensional and -dimensional submanifolds in , respectively. Moreover, intersects transversally, and the intersection number is equal to .*
Proof..
For any flag in and a sequence where , the Schubert cycle
[TABLE]
is homeomorphic to . Therefore we have
[TABLE]
Let be the intersection number of Schubert cycles and . For and where , if and only if . Consequently we have . ∎
The eigenvalue problem of can then be expressed as follows.
Lemma 3.3**.**
* is an eigenvalue of if and only if .*
Proof..
is an eigenvalue of if and only if . Therefore, it is equivalent to the following projective condition
[TABLE]
This completes the proof. ∎
By Lemma 3.3, the eigenvalue problem of can be expressed as the existence problem of a connecting orbit from to in . In other words, it is the intersection problem between and .
To understand the accumulation of eigenvalues for the large bounded interval, we have to consider the asymptotic behavior of for when . It arises as the increasing intersection number when moves on the absolute spectrum .
To obtain topological information about the asymptotic behavior of and the intersection between and , we use the Plücker embedding
[TABLE]
where . We then consider the system on the complex projective space induced by (21)
[TABLE]
That is, (6) induces a linear system on the space of the -form
[TABLE]
Then, (24) is given by the projectivization of (25). By Hypothesis 1, (24) coincides with the autonomous system
[TABLE]
if , which is induced by the linear autonomous system
[TABLE]
Note that and .
Since is an -dimensional subspace in , is a -dimensional subspace in . Therefore, the solution of (21) corresponds uniquely to a solution , and corresponds to . Hence, the following proposition holds.
Lemma 3.4**.**
* is an eigenvalue of if and only if in .*
The asymptotic behavior of when is determined by the eigenvalues of . It is well known that the eigenvalues of are given by the sum of eigenvalues of . Hence,
[TABLE]
has the following two properties.
Lemma 3.5**.**
For any , the eigenvalues of satisfy
[TABLE]
and
[TABLE]
Lemma 3.6**.**
Let be the -ball holding property 1. Then has similar property.
[TABLE]
for any and
[TABLE]
for any . Moreover,
[TABLE]
for any and .
The strategy is to find eigenvalues in . First, we change to appropriate coordinates.
Lemma 3.7**.**
If is sufficiently small, there is a coordinate change that is analytic in such that forms
[TABLE]
where , is a square matrix of dimension , and is the zero matrix.
Proof..
This is easily seen from the fact that , where is an eigenspace of , and is the generalized eigenspace associated with . ∎
For the coordinate satisfying Lemma 3.7, (27) is written as
[TABLE]
where and .
The following describes the extension and generalization of Nii’s methods in [10]. Set and . is identified with , and the following holds by Hypothesis 4, Lemma 3.2, and the injectivity of the Plücker embedding.
Lemma 3.8**.**
* and intersect transversally in the embedding manifold .*
Proof..
We show that . For any and , because . Therefore, by the injectivity of the Plücker embedding and , and intersect transversally. ∎
To find intersections of and , we consider the set and the projection
[TABLE]
We consider the asymptotic behavior of for . Define the -limit set of depending on by
[TABLE]
where we then consider .
Lemma 3.9**.**
* satisfies the following asymptotic conditions.*
[TABLE]
That is, is an attracor and is a dual repeller in for any , and is an attracor and is a dual repeller in for any . Furthermore, there is a periodic orbit in for such that
[TABLE]
Proof..
First, we show that is an attracting invariant space for (26) with any . For any , the eigenvalues of satisfy
[TABLE]
and hence, the solutions and for (28) satisfy
[TABLE]
for any and . This implies that is an attracting invariant space for (26).
We take the inhomogeneous coordinate in a neighborhood of , and set . Eigenvalues of are given by . Since for any , we have , and hence, is a stable equilibrium point when . In addition, we take the inhomogeneous coordinate in a neighborhood of . Any solutions for (26) restricted to are then controlled by
[TABLE]
Then and . This implies that is a repelling equilibrium point in when . Similarly, is a stable equilibrium point and is a repelling equilibrium point in for any .
Set , and take the inhomogeneous coordinate in . Any solutions for (26) restricted to are then controlled by
[TABLE]
for any . Therefore, all solutions for (26) consist of periodic solutions when . Since is an attracting invariant subspace, the latter claim holds. ∎
The following proposition was proved by Nii [10] for and . However, it can be extended to the general case of , because we have prepared the situation to agree with that in [10].
Proposition 3.10**.**
[10]**. For any , there exists a neighborhood such that each component of is diffeomorphic to and -near to .
Proof..
Consider two points that are near to each other. By Lemma 3.8, we can take small neighborhoods and of and satisfying the following conditions:
[TABLE]
if is sufficiently large. In particular, we choose and to satisfy , where . Assume that . Then, and can be assumed to be outside and , respectively. There exists such that for any , because by the definition of . The same argument holds for .
If and , then and as by Lemma 3.8. Hence, if is sufficiently large. Therefore, is a local diffeomorphism if is sufficiently large.
By Lemma 3.9, is the attracting invariant subspace. Hence, converges to as . Therefore, is locally -near to . ∎
Define a map by
[TABLE]
If we take and satisfying the conditions in Proposition 3.10, then . Therefore, the following lemma holds.
Lemma 3.11**.**
* is an eigenvalue of if .*
Proof..
means that intersects with at least once. ∎
The following proposition is an essential part of completing the proof.
Proposition 3.12**.**
For any positive integer , there exists such that a map is an -covering map for any . That is, covers more than times. In particular, covers more than times where .
Proof..
First, we show the latter claim. By the proof of Lemma 3.8, any solutions for (26) on are given by
[TABLE]
where , and . We set and choose and to be endpoints of . Consider a path with an initial point and an end point . Since , moves on for any . Therefore, a curve moves on monotonically because is monotone. This implies that for any , there exists so that . Then moves on at least times.
On the other hand, we have with and with as . Therefore covers the upside of in at least times. Similarly, covers the downside of at least times. ∎
Therefore, we can take satisfying , and then take disjoint neighborhoods of for which is injective and , where . and intersect transversally for each because and intersect transversally, and and are -near.
We then denote the intersection point as and define a map
[TABLE]
The following is obtained from Brouwer’s fixed point theorem. (These arguments are exactly the same as those given by Nii [10].)
Lemma 3.13**.**
([10]).
* has a fixed point.*
Lemma 3.14**.**
[10]**. Let be the fixed point of . Then, is an eigenvalue of .
3.3 Proof of the Theorem 2
In this case, we only show that the non-degenerate essential spectrum plays the same role as the non-degenerate absolute spectrum for the first-order system on the embedded Grassmannian manifold.
In the periodic boundary conditions, is an eigenvalue of if and only if there exists a nontrivial solution of (15) satisfying the separated boundary conditions,
[TABLE]
where are boundary subspaces for (15). Therefore the following lemma holds.
Lemma 3.15**.**
Let be a fundamental solution matrix for (6). Then, is a fundamental solution matrix for (15) that is defined by
[TABLE]
for any .
Therefore we obtain the topological invariant for periodic boundary conditions via separated boundary conditions. Note that the dimension of coincides with .
This leads to the following lemma.
Lemma 3.16**.**
* is an eigenvalue of if and only if , where is the fundamental solution matrix for (15).*
The strategy of the proof is as follows. Denote . To find the intersection of and , we track the one-dimensional subspace in the complex projective space .
Let be an -dimensional generalized eigenspace associated with and be an one-dimensional eigenspace associated with . Denote and where . Put , and is a corresponding element in . By Hypothesis 7, . Then the following lemma holds.
Lemma 3.17**.**
* is an eigenvalue of if .*
Consider the asymptotic behavior of for . A restricted system of (15) in is given by
[TABLE]
where and .
We take the inhomogeneous coordinate in a neighborhood of . is then controlled by
[TABLE]
Similarly, we take the inhomogeneous coordinate in a neighborhood of . is then controlled by
[TABLE]
Since for any and for any , the following lemma holds.
Lemma 3.18**.**
* is an attractor and is a dual repeller in for any , and is an attractor and is a dual repeller in for any .*
Let and be neighborhoods of and satisfying and . We then define the map
[TABLE]
The remainder of the proof uses the same arguments as for the case of separated boundary conditions. That is, for any positive integer , there exists such that a map is an -covering map for any and hence, has at least eigenvalues in .
4 Acknowledgments
The author would like to thank Yasumasa Nishiura for many important suggestions. He also would like to thank Shunsaku Nii for providing useful comments and stimulating discussions. He gratefully acknowledges helpful discussions with Shin-Ichiro Ei and Takashi Teramoto on several points in the paper. This work was supported by CREST, JST.
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