The previous section formulated the global spectral problem for the coupled-channel system and showed that the allowed frequencies are determined by the determinant condition . We now illustrate the physical content of this structure in a simplified truncated system and discuss its interpretation from the perspective of boundary response theory.
The figures presented in this section are illustrative toy-model realizations of the coupled-channel spectral structure derived analytically above, rather than numerical solutions of the full rotating AdS-Teo system. For illustration, we evaluate the determinant condition using a simple two-channel toy model in which the diagonal spectral functions are linearly detuned and coupled through a constant off-diagonal interaction. The purpose of these figures is therefore not to provide precision spectral predictions for the full wormhole geometry, but rather to visualize the generic analytic features of the determinant formulation, including collective pole motion, angular-channel mixing, and spectral repulsion.
5.1. Perturbative and Nonperturbative Two-Channel Spectrum
To make the coupled-channel structure more explicit, consider a controlled truncation in which only two angular channels are retained. Such truncations are standard in coupled-channel problems and provide a simple setting in which mode mixing can be analyzed explicitly [
16,
47].
Recall that the scalar field was expanded earlier in an angular harmonic basis,
where the spherical harmonics
provide the angular basis functions and the coefficients
represent the corresponding radial channel amplitudes. Each value of the angular quantum number
L therefore defines one angular channel of the coupled spectral problem.
In this subsection, we retain only two such channels, labeled by L and . Physically, one may visualize this as allowing two distinct angular harmonic sectors to interact through the off-diagonal couplings generated by the non-separable rotating geometry.
The coupled spectral problem then reduces to a
matrix,
where
and
are the diagonal single-channel contributions, while
and
encode angular-channel mixing induced by the non-separable rotating geometry.
The parameter is introduced as a bookkeeping parameter controlling the strength of the off-diagonal channel coupling. Physically, it measures the degree to which the different angular harmonic sectors interact through the geometry.
In the full problem, the harmonic expansion contains an infinite set of coupled angular channels. In practice, one approximates the system by truncating at finite
. Such coupled-channel truncations are standard in spectral and scattering theory [
16,
17] and are expected to converge provided the off-diagonal couplings decrease sufficiently rapidly at large angular momentum.
In this sense, the finite-channel truncation should be viewed as a controlled approximation scheme whose accuracy must be assessed through convergence studies. Increasing the number of retained channels enlarges the available angular-channel subspace, but does not by itself guarantee monotonic improvement of every spectral quantity.
The two-channel model considered below is therefore not intended as a quantitatively complete description of the full rotating AdS-Teo geometry, but rather as the minimal truncation capable of exhibiting the essential physics of angular-channel mixing and collective spectral behavior.
The quantization condition
takes the explicit two-channel form
As discussed in the previous subsection, this determinant condition selects the discrete normal-mode frequencies permitted by the combined throat regularity conditions and reflective AdS boundary conditions. Although the terminology “quantization condition” is used here, no canonical field quantization procedure is being performed. Rather, the allowed frequencies become discrete because only specific values of permit globally regular and normalizable solutions of the coupled differential system.
In the absence of coupling,
, the determinant condition factorizes:
The two angular channels therefore possess independent spectra. Once the off-diagonal couplings are turned on, however, the frequencies are shifted away from the uncoupled values and the physical modes become collective excitations of the interacting coupled system.
It is important to emphasize that the mixing occurs between angular harmonic channels labeled by different values of the angular quantum number L. The coupling acts at the level of the channel amplitudes rather than directly at the level of the eigenfrequencies. Instead, the geometry couples the corresponding channel amplitudes and , and this interaction subsequently shifts the allowed global eigenfrequencies of the full system.
To quantify this effect, consider weak mixing,
and focus on a mode primarily associated with the
L-channel. Let
denote a solution of the uncoupled spectral equation,
We seek a corrected frequency of the form
Here denotes the spectral shift produced by channel mixing. Physically, it measures how much the normal-mode frequency moves away from the uncoupled value once interaction between angular channels is included.
Expanding the diagonal component around
,
while the second channel contributes at leading order as
The phrase “linearly dependent” used earlier refers to linear algebraic dependence between the columns of the matrix
. It does not refer to truncating higher-order terms in the perturbative expansion. Substituting into Eq. (
150) gives
Near resonance, however, Eq. (
158) becomes insufficient. When the uncoupled channel frequencies approach one another, the detuning becomes small and the off-diagonal mixing must be treated nonperturbatively within the two-channel subspace.
To describe this regime more accurately, consider an effective two-channel spectral matrix written directly in terms of the uncoupled frequencies,
where
and
denote the uncoupled channel frequencies and
g is an effective off-diagonal mixing strength.
The difference
measures the separation of the uncoupled channel frequencies and will be referred to as the
detuning. Small detuning corresponds to near-resonant channels and generally produces stronger mixing effects, whereas large detuning suppresses the influence of the off-diagonal coupling.
The coupled frequencies are obtained from the condition
Explicitly evaluating the determinant,
so the spectral condition becomes
Solving this quadratic equation yields the exact two-channel eigenfrequencies
It is useful to compare the exact two-channel solution derived above with the perturbative determinant expansion introduced earlier. Such comparisons are common in spectral theory and quantum-mechanical perturbation analyses of wave operators [
48,
49]. Doing so clarifies both the physical meaning and the range of validity of the two approaches.
The first method begins from the determinant quantization condition and expands about an uncoupled channel frequency. This yields the perturbative spectral shift Eq. (
158), which is valid when channel mixing is weak and the uncoupled frequencies are well separated.
The second method constructs the effective
matrix Eq. (
159) and solves the resulting eigenvalue problem exactly, leading to the coupled frequencies Eq. (
164). Unlike the perturbative determinant expansion, the exact two-channel solution remains valid even when the channels become nearly degenerate and strong spectral mixing occurs.
To recover the weak-coupling limit of the exact solution, assume
Using the detuning parameter
defined in Eq. (
160), the square-root term in Eq. (
164) may be written as
Because
the square root may be expanded using
Substituting this expansion into Eq. (
164) and following the branch continuously connected to
yields
Similarly, the branch connected to
becomes
The role of the detuning parameter is illustrated schematically in
Figure 2. Small detuning corresponds to near-resonant channels and produces the strongest avoided-crossing behavior, whereas large detuning suppresses the effect of the off-diagonal coupling.
Several important features are immediately apparent. First, the leading correction is proportional to , showing that weak channel mixing produces a second-order shift in the frequencies. Second, the two branches move in opposite directions, producing the spectral repulsion characteristic of avoided crossings. Third, the magnitude of the shift increases as the uncoupled frequencies approach one another, indicating that nearby channels mix more strongly than widely separated channels.
The absence of a first-order correction is also physically significant. Because the coupling acts through off-diagonal matrix elements, it does not directly perturb an isolated channel. The leading frequency correction therefore arises from virtual mixing with a neighboring channel and appears only at second order in the coupling strength.
The perturbative determinant expansion and the weak-coupling expansion of the exact two-channel eigenvalues therefore describe the same spectral-shift mechanism in the regime of weak channel mixing. The exact two-channel solution, however, remains valid beyond this perturbative regime and continues to describe the coupled spectrum as the channels approach resonance. In this sense, the perturbative determinant shift may be regarded as the weak-coupling limit of the exact two-channel spectral solution.
Near resonance, the denominators in Eqs. (
168) and (
169) become small, causing the perturbative expansion to break down. In that regime, the full expression Eq. (
164) must be used.
The separation between the two coupled spectral branches is defined by
At exact resonance,
the coupled frequencies become
where
The minimum spectral gap is therefore
which determines the size of the avoided crossing.
Eq. (
164) makes the origin of spectral repulsion explicit. For
, the two branches reduce to the uncoupled frequencies. Once channel coupling is introduced, however, the two frequencies no longer cross directly, but instead shift apart and reorganize into collective eigenmodes of the coupled system.
The corresponding coupled eigenvectors may be written in terms of a mixing angle
, defined through
Using the detuning parameter
defined in Eq. (
160), the mixing angle is determined by
This formula should be understood before imposing exact degeneracy. In the exact-resonance limit
, one has
Thus the two collective eigenmodes are maximally mixed:
up to an overall phase convention.
Far from resonance, the mixing angle is small and the physical modes remain close to the original angular channels. Near resonance, however, the mixing becomes strong and the physical normal modes become substantial linear combinations of the two uncoupled channels. The coupled eigenfrequencies therefore emerge from the global interaction of the angular channels rather than from isolated harmonic sectors.
Several important physical interpretations follow from this expression. First,
measures the local spectral sensitivity of the
L-channel near the uncoupled frequency. This quantity appears in the denominator of the perturbative shift formula Eq. (
158) and therefore governs how strongly the eigenfrequency responds to angular-channel mixing. If the spectral function varies rapidly with frequency near
, the corresponding mode is relatively spectrally rigid and experiences only a small frequency displacement. Conversely, if the spectral function is locally flat, the same off-diagonal coupling can produce a substantially larger shift. In this sense, the perturbative correction
provides a quantitative measure of the spectral response of the mode to perturbations of the coupled operator.
Second, acts as a detuning factor. The term “detuning” refers to how far the second channel lies from exact resonance with the first. Channels whose uncoupled frequencies are close together produce stronger mixing effects than channels that are widely separated in frequency.
The detuning parameter appearing later in the illustrative avoided-crossing plot is conceptually related but not identical. There, is introduced as an external control parameter that continuously moves the two uncoupled channel frequencies toward or away from one another. By contrast, measures the intrinsic spectral separation between the channels at the particular frequency .
To visualize the spectral consequences of angular-channel mixing, we consider a simple two-channel spectral model in which two uncoupled channel frequencies and approach one another as a function of a detuning parameter .
The coupled frequencies are then obtained from the eigenvalues of the effective
spectral matrix,
Here
g denotes an illustrative constant mixing strength, while
serves as a convenient control parameter that moves the uncoupled channel frequencies relative to one another. For the plot shown in
Figure 2, the uncoupled branches were chosen phenomenologically as approximately linear functions of
near the crossing region.
The terms “spectral repulsion” and “avoided crossing” refer to the same phenomenon: once channel coupling is introduced, the eigenfrequencies no longer cross directly, but instead shift apart and exchange their dominant channel character smoothly through the interaction region. The avoided crossing therefore signals that the physical normal modes can no longer be identified with isolated angular harmonics. Instead, the coupled eigenfrequencies represent collective excitations continuously reorganized by angular-channel interaction.
The avoided-crossing plots shown below provide a visualization of the analytic results derived above. Far from resonance, the coupled branches remain close to the uncoupled channel frequencies. As resonance is approached, however, channel mixing reorganizes the spectrum into collective eigenmodes and produces the characteristic avoided-crossing structure.
Several features are immediately visible:
Far from resonance, the perturbative spectral shift Eq. (
158) is quadratic in the coupling strength
, reflecting the second-order nature of weak channel mixing. Near exact resonance, however, the coupled eigenvalues exhibit a linear level splitting,
as described by the nonperturbative two-channel model.
Nearby channels produce larger mixing effects because the spectral separation between the uncoupled frequencies decreases as resonance is approached, enhancing the influence of the off-diagonal coupling.
The physical frequencies are not associated with isolated angular channels, but emerge from the collective interaction of the coupled system.
-
The two-channel model is only the simplest illustrative truncation. One could equally study three-channel, four-channel, or higher-dimensional truncations. The same coupled-channel framework extends naturally to such systems through a higher-dimensional spectral matrix.
For an
N-channel truncation, the effective spectral problem may be written schematically as
where
represent the uncoupled channel frequencies and
encodes the off-diagonal channel couplings. The coupled frequencies are obtained from the eigenvalues of the matrix
. While the two-channel model captures the essential mechanism of avoided crossing, higher-dimensional truncations exhibit a richer hierarchy of collective effects, including multiple avoided crossings, sequential mode hybridization, and more complicated spectral rearrangements. These features provide a closer qualitative representation of the full coupled-channel system, where many angular sectors may interact simultaneously.
Odd numbers of channels are entirely allowed. The choice of two and four channels were made only because they provide the simplest setting in which the essential mixing physics can be visualized clearly.
Figure 3.
Illustrative four-channel spectral truncation of the coupled angular-channel problem. Dashed curves denote the uncoupled channel frequencies , while solid curves show the coupled eigenfrequencies obtained from the eigenvalues of the effective spectral matrix In contrast to the two-channel model, the higher-dimensional truncation exhibits multiple avoided crossings and successive mode hybridizations, illustrating the richer pattern of collective spectral rearrangement that arises when several angular channels interact simultaneously. The coupled branches therefore provide a simple visualization of how angular-channel mixing reorganizes the spectrum into collective excitations that cannot be associated with any single separated angular harmonic.
Figure 3.
Illustrative four-channel spectral truncation of the coupled angular-channel problem. Dashed curves denote the uncoupled channel frequencies , while solid curves show the coupled eigenfrequencies obtained from the eigenvalues of the effective spectral matrix In contrast to the two-channel model, the higher-dimensional truncation exhibits multiple avoided crossings and successive mode hybridizations, illustrating the richer pattern of collective spectral rearrangement that arises when several angular channels interact simultaneously. The coupled branches therefore provide a simple visualization of how angular-channel mixing reorganizes the spectrum into collective excitations that cannot be associated with any single separated angular harmonic.
Although highly simplified, the two-channel and four-channel truncation captures the essential physics of the full matrix problem: the determinant condition encodes angular-channel mixing, and the resulting spectrum differs from that of any individual separated mode equations.
5.2. Boundary Response and Holographic Interpretation
The connection-coefficient formulation developed in the previous section makes explicit that the spectrum arises from global matching between regular throat solutions and asymptotic AdS behavior.
Near the AdS boundary, the scalar field decomposes into source and response components,
with the coefficients organized into vectors and matrices in angular-channel space. In the standard AdS/CFT interpretation, the slower falloff corresponds to non-normalizable source data, while the faster falloff corresponds to normalizable response data [
39,
41,
50,
51].
Because the rotating wormhole geometry mixes angular channels, source and response coefficients naturally organize into vectors in channel space. Bulk channel mixing therefore permits the response in one angular sector to depend on source data associated with other sectors. The boundary response function is therefore matrix-valued:
This is the coupled-channel analogue of the familiar ratio between normalizable and non-normalizable coefficients in a single-channel AdS spectral problem.
The pole structure of follows directly from the determinant condition. If , then becomes singular at . Equivalently, near an isolated simple pole, . Here is a coupled normal-mode frequency (pole location), and is the corresponding residue matrix.
In complex analysis, the residue measures the coefficient of the singular part of a function near a pole and therefore characterizes the local strength of the singular behavior. For example, if
then
R is the residue associated with the pole at
. Residues play a central role in contour integration, spectral theory, Green’s functions, and wave propagation because they determine how strongly a given pole contributes to the overall response. In physical systems, residues are often interpreted as measures of resonance strength or spectral weight. For instance, in a simple resonant oscillator or vibrating mechanical system, a larger residue corresponds to a stronger response near the natural frequency of the system. In this coupled-channel problem, the residue becomes matrix-valued because the collective normal modes can couple multiple angular harmonic sectors simultaneously.
The residue matrix encodes how strongly the pole couples different source and response channels. Its diagonal entries measure the response within a given angular sector, while its off-diagonal entries encode channel mixing in the boundary response.
For visualization, it is useful to evaluate the response slightly away from the real axis,
This does not mean that the physical normal-mode poles themselves have acquired imaginary parts or moved off the real frequency axis. Rather, the Green’s function is evaluated slightly above the real axis in the complex-frequency plane in order to regulate the pole singularities and render the spectral response finite and visually accessible.
In the self-adjoint wormhole problem, the poles remain on the real frequency axis. The small positive parameter
instead acts as a regulator: it converts the singular pole
into the finite expression
Taking the imaginary part gives a Lorentzian peak,
centered at the real pole location
.
Motivated by this standard pole expansion, we use the illustrative matrix-valued spectral model
The trace is taken over the finite truncated channel basis
introduced in Sec.
4, so that it sums the spectral response over the retained angular channels of the truncated coupled system, while the imaginary part displays the pole locations as finite Lorentzian peaks. The main conceptual advantage of this plot is that it provides a direct visual bridge between the abstract determinant condition
and an observable spectral response function. As the angular-channel coupling increases, the collective normal-mode poles shift and separate through spectral repulsion, and this reorganization appears directly as a corresponding splitting and displacement of peaks in the matrix Green’s function. The figure therefore provides a spectral visualization of how the underlying coupled self-adjoint operator reorganizes the global normal-mode structure.
For the illustrative plot in
Figure 4, the pole locations were chosen from the two-channel spectral mixing model of the previous subsection. The uncoupled poles were placed near two nearby normal-mode frequencies, and increasing the coupling parameter
separates them according to the avoided-crossing structure discussed above. The residue matrices were chosen as simple positive channel-overlap matrices so that the trace response cleanly displays the coupled pole motion. The regulator
was chosen small enough to keep the peaks narrow while still making them finite and visible.
It is important not to confuse the regulator with the channel-coupling parameter . The parameter controls physical angular-channel mixing in the spectral operator, whereas is a purely auxiliary quantity introduced to regulate the Green’s function near real-frequency poles. Thus, the figure is an illustrative spectral-response model, not a full numerical computation of the complete rotating AdS-Teo Green’s function.
This structure parallels the real-time holographic prescription of Son and Starinets [
20] and its generalization to systems with operator mixing. The matrix structure reflects the fact that source and response data become coupled through the bulk angular-channel dynamics.
The determinant condition is therefore equivalent to the statement that the matrix Green’s function develops a pole. The bulk normal-mode spectrum is encoded in the analytic structure of the boundary response matrix.
To visualize the global evolution of the coupled spectral structure, we evaluate an illustrative determinant-response function for the same effective two-channel spectral model introduced in the previous subsection. The purpose of this model is not to compute the full rotating AdS-Teo wormhole spectrum numerically, but to display, in the simplest possible setting, how a matrix-valued quantization condition reorganizes spectral poles when angular channels are coupled.
For consistency, we use the same effective two-channel spectral model introduced previously, now interpreted from the perspective of the boundary response function. The poles of the matrix-valued response function therefore occur at the same frequencies determined by the two-channel spectral condition derived in Eq. (
150). The corresponding pole branches are given by Eq. (
164).
Specifically, we consider a frequency-dependent boundary coefficient matrix of the form
where
and
denote the uncoupled normal-mode frequencies associated with two independent angular channels. The parameter
controls the strength of the channel mixing, while
g sets the overall scale of the off-diagonal coupling.
The off-diagonal entries are chosen symmetrically as because the model is intended to represent a conservative self-adjoint coupled spectral problem. In such a system, the coupling from channel 1 to channel 2 equals the coupling from channel 2 to channel 1. This is the finite-dimensional analogue of a Hermitian matrix operator.
One could introduce more general off-diagonal entries, such as and . However, unless , the matrix would no longer be symmetric and would no longer represent the simplest conservative self-adjoint model. The choice is therefore the cleanest minimal choice for illustrating coupled spectral repulsion.
The word “motion” or “trajectory” refers here to the continuous change of the real-valued pole locations as the coupling strength is varied. In the self-adjoint wormhole problem, the poles remain on the real frequency axis; they do not acquire imaginary parts.
To display the same structure visually, we plot the diagnostic quantity
as a function of the real frequency
and the coupling strength
. Thus the horizontal axis of the plot is
, the vertical axis is
, and the color scale represents the value of Eq. (
183).
The inverse determinant,
is large whenever the determinant is close to zero. Since the spectral poles occur at
, this quantity acts as a convenient spectral-response diagnostic. The small positive regulator
prevents the plotted quantity from diverging exactly at the poles, while the logarithm compresses the dynamic range so that the pole structure is visible in a color map.
As discussed earlier, the regulator should not be confused with the coupling parameter . The parameter controls physical angular-channel mixing, whereas merely regulates the response function near real-frequency poles.
The plotted quantity should therefore be understood as a visualization tool rather than a new fundamental observable. Purple regions correspond to weak response, whereas bright yellow ridges indicate frequencies at which approaches zero and the coupled spectral response is strongly enhanced.
The dashed white curves in the figure are the analytic pole trajectories obtained from the coupled spectral branches Eq. (
164). Their agreement with the bright ridges shows that the color map is indeed visualizing the determinant zeros of the coupled response matrix.
A broader view of the coupled spectral structure is shown in
Figure 5, where the determinant-response map traces the motion of the spectral poles as the channel-coupling strength varies.
The two-channel example illustrates this mechanism explicitly. The off-diagonal couplings shift the pole locations away from the frequencies associated with isolated channels, showing that the spectral poles are collective properties of the coupled system rather than attributes of individual angular modes.
Because the rotating AdS-Teo wormhole is smooth and horizonless, the resulting poles correspond to normal modes rather than dissipative quasinormal modes. The response structure therefore reflects a self-adjoint coupled spectral problem rather than the dissipative quasinormal-mode problem characteristic of black-hole scattering geometries.
This analysis assumes parameter regimes for which the rotating wormhole geometry remains free of ergoregion instabilities. In rotating horizonless spacetimes, sufficiently strong frame dragging together with reflective AdS boundary conditions can in principle lead to superradiant amplification and unstable modes. A detailed analysis of possible ergoregion instabilities lies beyond the scope of this work and would require a separate global study of the coupled rotating spectrum. Here we focus on the conservative coupled spectral structure associated with the self-adjoint regime of the problem.
To place the coupled-channel response of the rotating AdS-Teo wormhole in a broader context, it is useful to compare its spectral organization with the familiar quasinormal-mode structure of rotating black-holes.
In the wormhole case considered here, the boundary conditions consist of regularity at the throat together with AdS normalizability at the asymptotic boundaries. These conditions organize the scalar perturbation problem into an effectively self-adjoint coupled spectral system. Consequently, the normal-mode frequencies remain real in the stable regime, and angular-channel mixing manifests itself primarily through spectral repulsion and reorganization of the coupled eigenvectors.
By contrast, black-hole perturbations are governed by different boundary conditions. At the horizon, one imposes purely ingoing behavior, while at infinity one typically imposes outgoing or normalizable conditions, depending on the asymptotic structure of the spacetime. The resulting spectral problem is generally non-self-adjoint, and the associated frequencies become complex quasinormal modes,
whose imaginary parts describe the decay of perturbations through horizon absorption.
This distinction is illustrated schematically in
Figure 6. The left panel represents the coupled normal-mode structure of the rotating AdS-Teo wormhole. The poles remain confined to the real frequency axis and undergo spectral repulsion as the angular-channel coupling increases. The right panel represents the qualitative behavior of black-hole quasinormal modes, whose frequencies occupy the lower half of the complex frequency plane due to dissipative horizon boundary conditions.
The purpose of this comparison is not to claim that the rotating wormhole spectrum is equivalent to a black-hole quasinormal spectrum. Rather, it emphasizes that the same mathematical language of poles, spectral flow, and response functions can arise in physically distinct settings. In this wormhole geometry, pole motion reflects the reorganization of a conservative coupled spectral system, whereas in black-hole spacetimes the corresponding pole structure is tied to dissipation and horizon absorption.
The comparison also clarifies the role of the determinant condition. In the wormhole problem, the determinant zeros identify normal-mode frequencies associated with a self-adjoint operator. The poles therefore remain on the real axis and correspond to collective oscillatory states of the coupled geometry. In black-hole problems, the analogous pole condition is typically imposed in a non-self-adjoint setting, leading instead to complex quasinormal frequencies.
Taken together, the Green’s-function response, determinant-response map, and spectral comparison provide three complementary perspectives on the same underlying physics. The matrix Green’s function emphasizes how collective poles appear in observable response functions. The determinant-response map visualizes the motion of those poles as angular-channel coupling is varied. The comparison with black-hole quasinormal modes highlights the role played by boundary conditions in determining whether the resulting spectral problem is conservative or dissipative.
From the holographic perspective, the matrix-valued response function suggests that non-separable bulk geometries naturally give rise to coupled boundary observables. The off-diagonal response channels provide a direct signature of angular-channel mixing in the bulk, while the determinant condition organizes the associated collective spectral structure. Although a complete holographic renormalization analysis lies beyond the scope of this work, the coupled response framework developed here provides a natural starting point for such investigations.
More broadly, this analysis demonstrates that the spectral consequences of non-separability can be studied through matrix-valued response functions in much the same way that ordinary normal modes and quasinormal modes are studied through scalar Green’s functions. The resulting picture is one in which interacting angular channels, rather than isolated harmonics, become the fundamental building blocks of the spectral response.
This viewpoint will play an important role in the discussion section, where we interpret the rotating AdS-Teo wormhole as a coupled spectral-operator system whose global normal modes, boundary response functions, and local quantum observables emerge collectively from the interaction of multiple angular sectors.