We consider the transmission eigenvalues for a bounded scatterer with a periodically varying index of refraction, and derive the first-order corrections to the limiting transmission eigenvalues. We assume the scatterer contrast to be of one sign, in which case the transmission eigenvalue problem can be written in terms of operators corresponding to a fourth-order partial differential equation with periodic coefficients. We perform two scale asymptotics for this biharmonic-type homogenization problem and show convergence estimates, which require a boundary corrector function, and this boundary corrector function appears in the formula for the transmission eigenvalues correction.
The transmission eigenvalue problem plays a fundamental role in scattering theory for inhomogeneous media. Transmission eigenvalues correspond to interrogating frequencies at which there exists an incident field that does not scatter by the medium. Despite its deceptively simple formulation—two elliptic partial differential equations (PDEs) in a bounded domain (one governing wave propagation in the scattering medium and the other in the background that occupies the support of the medium) that share the same Cauchy data on the boundary—the problem presents a remarkably intricate mathematical structure. In particular, it is a non-self-adjoint eigenvalue problem for a non-strongly elliptic operator, making the investigation of its spectral properties highly challenging. We refer the reader to Cakoni et al. (2023) for the significance of this problem in scattering phenomena and inverse scattering theory.
More precisely, let denote the refractive index of an inhomogeneous medium of bounded support, which is a perturbation of the homogeneous background medium with refractive index scaled to one. Define . The transmission eigenvalue problem is then formulated as finding and satisfying
where is the wave number, proportional to the interrogating frequency . In this formulation, corresponds to the scattered field, which by virtue of the boundary conditions (provided has some regularity), can be extended by zero into the exterior of , whereas is the restriction to of the incoming incident wave. This formulation shows that a necessary condition for an incident wave to remain unscattered by the inhomogeneity is the existence of a nontrivial solution to (1). The transmission eigenvalue problem is known to be non-self-adjoint (Cakoni et al., 2023), and complex transmission eigenvalues may occur, although only the real ones are physically relevant to nonscattering. Values of for which (1) admits nontrivial solutions are called transmission eigenvalues. Note that it can be shown that real transmission eigenvalues can be determined from measured scattering data (Cakoni, Colton, et al., 2010, 2023; Kirsch & Lechleiter, 2013), hence they can be used to determine information about refractive index when solving the inverse scattering problem. There is a vast literature on the spectral analysis of the transmission eigenvalue problem. The discreteness of the spectrum, completeness of eigenfunctions, and Weyl’s asymptotics have been established under various assumptions on in Fornerod and Nguyen (2023), Kirsch (2016), Robbiano (2013), and Vodev (2018, 2025). In particular, if has a fixed sign uniformly in , then there exists an infinite sequence of real transmission eigenvalues accumulating only at .
Inhomogeneity of bounded support with periodic refractive index with period cell of size .
In this work, we deal with the perturbation analysis of transmission eigenvalues when the inhomogeneous medium , with for bounded, is periodic and highly oscillating. More precisely, let denote the characteristic size of the periodic unit cell, which is assumed to be small relative to the size of , and let be the rescaled unit cell. We assume that the refractive index is given by
with periodic in with period . That is, inside , is the restriction of a periodic function with cell size to the bounded domain , while outside of , . We note that the domain does not itself depend on . See Figure 1 for a sketch of the geometry. Our concern is how the real transmission eigenvalues perturb as . The homogenization theory for the corresponding direct scattering problem has been developed in Cakoni et al. (2019, 2020), while the convergence of the real transmission eigenvalues to those of the homogenized medium was proven in Cakoni, Haddar, et al. (2015). The main goal of this paper is to provide an explicit first-order correction term in the asymptotic expansion of the real transmission eigenvalue. Since the correction to the homogenized transmission eigenvalue can be determined, the hope is that this correction term captures microstructural information of the periodic medium. Such asymptotic analyses have been carried out for transmission eigenvalue problems in media containing small-size perturbations as the perturbation size tends to zero in Cakoni, Moskow, et al. (2015) and Cakoni et al. (2017). Our perturbation analysis is based on the work of Osborn (1975), extended to nonlinear eigenvalue problems in Moskow (2015) and Furia and Moskow (2025). In particular, our approach makes use of the expression given in Furia and Moskow (2025).
In this paper, we formulate the transmission eigenvalue problem as a nonlinear eigenvalue problem for a fourth-order partial differential operator given by (10). Using two scale asymptotics for the resolvent of the bi-Laplacian-type operator, we establish higher-order convergence estimates as . While homogenization for periodic higher-order PDEs is known (Francfort, 1992; Niu et al., 2018; Niu & Xu, 2019; Pastukhova, 2017), these higher-order estimates, including boundary corrector functions, appear to be new. We show first that the homogenized problem reduces to the eigenvalue problem with cell-averaged refractive index , recovering (Cakoni, Haddar, et al., 2015). We then construct higher-order correctors: the first-order expansion includes only a boundary correction (consistent with the homogenization of direct scattering problems Cakoni et al., 2019, 2020), while higher orders involve both bulk and boundary terms. The resolvent estimates yield asymptotics for simple real transmission eigenvalues, based on the formula in Furia and Moskow (2025, Theorem 3.2). The leading correction involves the boundary corrector integrated against the scaled eigenfunction. The boundary corrector satisfies a fourth-order boundary value problem with oscillatory coefficients, and it is highly desirable to understand the limiting behavior of the boundary corrector as . This is a delicate issue in the theory of homogenization, and for the state-of-the-art of this question for second-order PDEs is discussed in Gérard-Varet and Masmoudi (2011, 2012), Moskow and Vogelius (1997a), and Santosa and Vogelius (1993). Here, although we can prove that the boundary corrector is -bounded with respect to , and thus admits weak subsequential limit(s), we characterize its (nonzero) limit only in one dimension. We find that the first-order corrections are not unique and depend on the interaction of the boundary of the scatterer with the microstructure. The two- and three-dimensional cases, which are technically more involved, will be addressed in a subsequent paper.
Description of Problem
We assume that the bounded domain has boundary, and as stated in the introduction, we assume that is a bounded periodic function of in the cell . Let denote the Sobolev space given by
or, equivalently, the closure of functions, equipped with the inner product
Consider now the interior transmission eigenvalue problem (1) formulated above, which has a periodic coefficient with period , small compared to its support . Letting , we wish to find nontrivial with satisfying
Note that the boundary conditions are equivalent to saying that . Here the eigenvalue parameter is . As already mentioned, the transmission eigenvalue problem is not self-adjoint, and in the spherical symmetric case it is known to have complex eigenvalues (Cakoni et al., 2023, Chapter 6). Here, we are concerned only with the real transmission eigenvalue, since they are the ones which can be measured from scattering data. More precisely, here transmission eigenvalues refer to values of for which the problems (2)–(5) have a nontrivial solution. In this work, we limit ourselves to the case when is of one sign, and for the calculations, we assume that , with independent of . In this case, an infinite number of real transmission eigenvalues are known to exist (Cakoni, Gintides, et al., 2010). We are interested in the behavior of these transmission eigenvalues as the period size approaches zero. It is known from the work (Cakoni, Haddar, et al., 2015) that the real transmission eigenvalues (omitting indexing) converge to those corresponding to for the “homogenized” transmission eigenvalue problem, that is, those corresponding to
where denotes the period cell average
Our motivation here is to find the next order term, that is, the corrections , where each
From the work (Cakoni, Gintides, et al., 2010), for this setup, we have that the transmission eigenvalue problem (2) is equivalent to the fourth-order nonlinear eigenvalue problem: Find such that there exist nontrivial , such that
where we use to denote the periodic
We can state this in variational form as follows: Find such that
Following Cakoni, Gintides, et al. (2010), we rewrite this in terms of variationally defined operators. Let us define the bounded bilinear forms on ,
and
By the Riesz representation theorem, these bilinear forms define bounded operators and which are such that
for all . We may also find it convenient to write these variationally defined operators using PDE notation. For given , we have that
and
where the inverses of the fourth-order operators have range in , where solutions are unique. We also note that the operator has a bounded extension on ; for any , is understood in the sense of , the dual of . We continue to use to denote this operator , so that is clearly compact from to itself. Furthermore, is invertible on for positive real , and the coercivity constant is independent of (Cakoni & Haddar, 2009). The variational form (11) of the transmission eigenvalue problem is equivalent to finding such that
where is defined as in (14), but with replaced with its limiting value .
We have now rephrased the problem as a nonlinear eigenvalue perturbation problem. That is, a transmission eigenvalue is a value for such that there exists a nontrivial satisfying
for . A limiting transmission eigenvalue is a value such that there exists nontrivial , such that
In order to find a correction formula for the transmission eigenvalues of the perturbed problem in terms of the eigenvalues and eigenvectors of the background problem, we will apply a result in Moskow (2015), an application of Osborn’s theorem for approximating the eigenvalues of compact operators (Osborn, 1975). Let be the eigenvalue associated with the nonlinear eigenvalue problem (17) and let be the eigenvalue corresponding to the limiting eigenvalue problem (18). In this paper, we will derive an expression for the next order correction term in the asymptotic expansion
For the sake of presentation, we present the calculations for the case when uniformly in . A similar analysis can be done in the case uniformly in . In this case, the definition of the coercive part (12) is replaced (see Cakoni et al., 2023, Section 4.2)
with the corresponding operators defined accordingly.
Operator Convergence: A Fourth-Order Homogenization Problem
In order to apply the eigenvalue correction theorem, we will need to explore the convergence of to , or more precisely, we will need an asymptotic expansion with respect to for and corresponding norm estimates. We need to focus on , since all of the dependence is in this operator. Note that if
then is the variational solution to
where is periodic on the period cell . For simplicity of exposition, we let
and
so that solves
the periodic homogenization problem, which is the subject of this section. We note that such fourth-order periodic problems have been studied in the past, see, for example, Pastukhova (2017) and Francfort (1992), and so the expansion of the main part of the operator is not new. Here, we focus on obtaining high enough order norm estimates, which we will need to apply the eigenvalue perturbation theorem. These estimates require the introduction and analysis of a fourth-order boundary corrector function.
Formal Asymptotics
We proceed by assuming that is positive, bounded in , and periodic, and we do standard two scale asymptotic expansions. Let so that from the chain rule
where each is periodic in the fast variable in the sense of , where is defined to be functions on the torus, defined in terms of the decay of the Fourier coefficients. Equivalently, this is all functions, which are also in across the matching boundaries (the closure of smooth functions on the torus in the norm). We note that
We could proceed by plugging the ansatz (23) into (22); however, we will instead rewrite (22) as a second-order system. The use of a lower-order system both simplifies the derivation of the terms in the ansatz and potentially allows for lower regularity assumptions. To this end, we let so that the pair solves
and so we also expand
We plug the ansatz into the system,
and set equal the coefficients of like powers of epsilon to obtain the equations
and, in general, for , the equation corresponding to is
First, we observe that the first two sets of equations (27) and (28) imply that the first terms do not depend on , that is, , , , and . Since does not depend on , the first equation in (29) suggests that we should take
where
for some constant . Periodicity implies that we must have , leading to
We note that a priori could still have an additive function of . Taking the cell average of (29) and using the formula for , we find the homogenized problem
accompanied by
Now, if we take
where the vector has cell average zero and solves
we see that the first equation of (30) is satisfied with
The second equation of (30) is also satisfied if we take
If we do this, to satisfy the first equation of (31), we can take
where the has cell average zero and solves
and matrix has components with cell average zero satisfying
In (39), Einstein summation notation is employed, with denoting the Hessian. We find then to satisfy the second equation in (31), we need a nonzero , and taking
will work. To summarize, we have thus far derived
with , , , , and given by (33), (37), (39), (36), and (42), respectively. We need to emphasize, however, that beyond second order these choices are not necessarily optimal; there may be other third- and fourth-order terms necessary if one wanted estimates of higher order.
Our solutions and are in , but due to the corrections, our approximation to is no longer in . Hence, in order to obtain high enough order convergence estimates, will need the boundary corrector functions at each order. Let denote the unique solution to
and define its second-order system counterpart
Then, the pair solves
Since for our transmission eigenvalue problem , we have that
which means that
where is the first-order cell function from the homogenization of the standard transmission problem corresponding to ; which is -periodic, has cell average zero, and solves
We note that for all of the two scale functions, including the boundary data for , we set , and subsequently all resulting approximations and errors are considered as functions of the single variable . The following lemma will be useful for showing convergence estimates.
Assume that are in and , respectively, and that they satisfy the second-order system
Then, there exists independent of such that
Consider
where in the second line we integrated by parts and used the fact that has zero boundary data. Using ellipticity and Cauchy–Schwartz, we have
Dividing through by the result follows.
The next result gives us first-order convergence in , which we will need to show convergence of the operators.
Let be the solutions to
and
respectively. Then
where is given by (33) and where the boundary correction is defined by (43) for .
Let
and
where is given by (44) and we recall that is given by (36). Thanks to the boundary corrections, . We calculate
and
The residual contains derivatives of of fourth order or lower, and so the result follows from Lemma 1.
Let be the solutions to
and
respectively. Then, the boundary correction given by (43) with satisfies
We prove this for ; the proof for follows in the same way. Given any , consider the solution of
Using the equations for and and the second Green’s identity twice, we obtain
The boundary conditions for then yield
From Proposition 1 applied to the homogenization problem for , we found that
where is the homogenized solution for (61), is the corresponding bulk correction, and is its corresponding boundary corrector (for order ). From line (53) in the proof of the same proposition, we have that is in . Likewise, is also bounded by the same right-hand side in from (54). Hence, we have that
It is known (see Appendix A.2) that has bounded boundary traces in and bounded normal derivative boundary traces in . From this and the proof of Proposition 1, we can conclude that
and
Thanks to these estimates, we can replace the terms in (64), with the remainder bounded by
for the first term and
for the second term. Both of these are bounded by , where we abuse notation and continue to use for the constant. Since we have assumed that is smooth, we use the standard elliptic estimate that
so the remainder is bounded by . Hence (64) becomes
where the tail is bounded in absolute value by . The first term is clearly bounded by the same, as it in fact goes to zero . For the third term , the normal derivative produces a when applied to , which cancels with the , yielding that the absolute value of is bounded by . For the other two terms, we note that is bounded by in by Corollary 1 and the equation for . Hence, we have by trace estimates for (see, e.g., Appendix A.2) that
and
Using the duality pairing,
and
from which we can conclude that
from which the result follows.
Let be the solutions to
and
respectively. Then
and
where the boundary correction is given by (43) with .
The first estimate follows from Proposition 2 and Lemma 2 applied to , and the second follows from Proposition 1 and Lemma 2 applied to .
Transmission Eigenvalue Expansions
The following result about nonlinear eigenvalue perturbations is an extension of a special case of the results in Osborn (1975). This is a slight modification of Corollary 4.1 in Moskow (2015) for the case where we assume only that the operators themselves converge pointwise (strongly), without assuming convergence of the adjoints. The necessary modifications were shown in Furia and Moskow (2025).
Let be a Hilbert space with sesquilinear inner product and be a set of compact linear operator valued functions of , which are analytic in a region of the complex plane, such that pointwise as uniformly for , and that are collectively compact, uniformly in . Let , be a simple nonlinear eigenvalue of , define to be the derivative of with respect to evaluated at , and let be a normalized eigenfunction. Then for any small enough, there exists a simple nonlinear eigenvalue of , such that if
there exists a constant independent of such that
where is the one-dimensional eigenspace spanned by .
Now, let us consider our operators
where is given by
and
so that
and
where the inverses of the fourth-order operators have range in . We note that and are well defined and compact on . This follows because makes sense in , the dual of , so that the range of both operators is in , which embeds compactly in . We can therefore take , with the usual inner product, when applying the above theorem.
For the denominator in the correction theorem, we must compute the derivative of with respect to , . In fact, this derivative is computed in Cakoni, Moskow, et al. (2015), and we include the computations in Appendix A.1 for the reader’s convenience. In our case, formula (89) simplifies since our is constant. In particular, the derivative is given by , where solves
Note that the range of and its derivative is . Next, we compute , where is an eigenvector corresponding . To this end, let us denote by the mapping
Thus, we have
Note that is coercive, which means that , and its inverse is well defined with range in . Recalling also that , we have , and equation (77) becomes
and hence
If we now take and to be the -normalized homogenized transmission eigenfunction corresponding to the transmission eigenvalue , this gives
since we know that
The above calculations yield
This expression is obviously nonzero if , since is nonnegative and . To compute for the given transmission eigenpair of the homogenized problem, one must solve
Thus, it is easy to numerically check if . In order to evaluate the numerator, we use the asymptotic estimate developed above. To this end, we have
where and and are the solutions of
and
respectively. From Corollary 2, we have that
where is the solution of
where is -periodic, has cell average zero, and solves
where we used that .
Assume is periodic in for , and is positive uniformly in . Let be a simple transmission eigenvalue of the homogenized problem with constant refractive index , and the corresponding eigenfunction normalized such that . We assume that is smooth enough so that . Then for any sufficiently small, there exists a simple transmission eigenvalue of the periodic media with refractive index , which satisfies the following asymptotic expansion:
provided that , where is given by (83) and is given by (78).
First, we note that Corollary 2 gives us that for any given ,
For given in a bounded region of the complex plane, can be bounded independently of from the explicit coercivity of the fourth-order operator (Cakoni & Haddar, 2009). Hence, we have strong pointwise convergence of the operators in . Furthermore, the operators are collectively compact, since satisfy
where is independent of and . Hence, we can apply Theorem 1. Furthermore, (85) says that the right-hand side of (73) is , since the eigenspace is finite dimensional (in fact one-dimensional in our case). We have already calculated the expressions on the left-hand side of (73); the denominator is given by (81) and the numerator is given by (82). The result follows from inserting these formulas into (73).
It would be desirable to have the correction value in formula (88) be independent of . Note that from Lemma 2, we have that the term is bounded with respect to , so any sequence of will have subsequential limits. We would like to characterize its limit points, or at least rewrite it in a more explicit form. For similar eigenvalue problems in second-order homogenization in bounded domains (Gérard-Varet & Masmoudi, 2011, 2012; Moskow & Vogelius, 1997a, 1997b; Santosa & Vogelius, 1993), the precise value of the boundary corrector limit is complicated by two factors: (i) The limit may not be unique if the domain has a boundary with flat parts of rational or infinite slope. We expect that the limit will be unique for smooth in which the boundary has no flat parts. (ii) Even when the limit is unique, there is no known explicit characterization of the limit. It may very well be the case that the first-order transmission eigenvalue corrections exhibit both of these complications. One needs to study the behavior of the boundary correctors for fourth-order homogenization problems, and this is the subject of future work. In the next section, we consider the one-dimensional case, which is easier to analyze, and demonstrates that the corrector is not generically zero. Furthermore, if the scatterer has flat parts with rational or infinite slope, the one-dimensional study suggests that the corrector will depend on how the boundary cuts the microstructure.
The One-Dimensional Case
Although we explicitly took the dimension or , the same results clearly hold for . Let us take for simplicity, while noting that the following can easily be extended with small modifications to general intervals . Recalling that the eigenfunction has zero Cauchy data at the boundary, the one-dimensional boundary corrector function here satisfies
In the limit, the boundary terms with will disappear, and so the limit will be dominated by the first terms of the Neumann data. Notice that as , this first term is fixed on the left but changing with on the right. We see here that the limit of this boundary data is not unique, and depends on the sequence . Assume that
where are integers, so that , and
due to periodicity. The sequences for which the boundary corrector has a limit are those for which this cutoff has a limit . We see that for a fixed cutoff, the equation for the corrector becomes a standard fourth-order homogenization problem. Hence, the corrector converges in at order to , the solution to
We therefore have an explicit formula for the transmission eigenvalue corrector in one dimension, summarized in the following theorem.
Assume the dimension with period cell , and is periodic in such that is positive uniformly in . Let be a simple transmission eigenvalue of the homogenized problem with constant refractive index , and the corresponding eigenfunction normalized such that . Assume
where are integers. Then, for any sufficiently large, there exists a simple transmission eigenvalue of the periodic media with refractive index , which satisfies the following asymptotic expansion:
provided that , where is given by (87) and is given by (78).
Conclusions
In this article, we derived an asymptotic expansion for the transmission eigenvalues of a scatterer with periodically varying index of refraction in the case when the contrast does not change sign. In this situation, we were able to use the fourth-order formulation for the transmission eigenvalue problem, and its analysis required us to study a fourth-order homogenization problem. The two-scale asymptotics reveal a boundary corrector as the largest microstructure effect, and this boundary corrector appears in the correction formula for the transmission eigenvalues. It appears that this boundary corrector function may exhibit all of the difficulties of the boundary correctors in many second-order homogenization problems; in particular, the lack of an explicit formula for its limit for dimension , even in the case of smooth domains. An explicit formula would allow us to determine what information about the microstructure of the medium can be extracted from the transmission eigenvalues. The analysis of these fourth-order boundary correctors is therefore of great interest, and is the subject of our future work.
Footnotes
Acknowledgments
The authors would also like to acknowledge the AIM institute and the SQuaRE program “Scattering Properties of Multiscale Heterogeneous Media,” which also supported this research.
ORCID iD
Shari Moskow
Funding
The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: F. Cakoni was partially supported by NSF grant no. DMS-24-06313. S. Moskow was partially supported by NSF grant nos. DMS-2008441 and DMS-2308200.
Declaration of Conflicting Interests
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Appendix: Technical Lemmas
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