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Heterogeneous Boundary Transfer Scales

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  2. Heterogeneous Boundary Transfer Scales

Heterogeneous Boundary Transfer Scales

Date: 17 October 2026 Branches: B02, B03, B07 and B08 Claim status: exact piecewise-free transfer analysis; physical normalization remains nonunique

1. Transfer matrix

For a Euclidean segment with mass \(m\) and length \(L\), propagate

\[ \begin{pmatrix}q\\p\end{pmatrix} \]

with

\[ T(m,L) = \begin{pmatrix} \cosh(mL)&\dfrac{\sinh(mL)}m\\[1ex] m\sinh(mL)&\cosh(mL) \end{pmatrix}. \]

It satisfies

\[ \det T=1. \]

For a piecewise interface,

\[ T_{\rm tot}=T_n\cdots T_2T_1. \]

Subdivision of any constant segment leaves this ordered product unchanged.

2. Boundary response from transfer data

Write

\[ T_{\rm tot} = \begin{pmatrix}a&b\\c&d\end{pmatrix}. \]

The Dirichlet-to-Neumann response is

\[ X= \begin{pmatrix} a/b&-1/b\\ -1/b&d/b \end{pmatrix}, \]

and

\[ \det X=\frac cb. \]

This gives the determinant scale

\[ \mu_{\det} = \sqrt{\frac cb}. \]

It is intrinsic to the sewn boundary response whenever \(b,c>0\).

3. Effective decay scale

For a hyperbolic transfer matrix, define

\[ \mu_{\rm F} = \frac1{L_{\rm tot}} \operatorname{arcosh} \left(\frac{\operatorname{tr}T_{\rm tot}}2\right). \]

This is the effective Floquet or decay exponent per unit length.

For a homogeneous interface,

\[ T_{\rm tot}=T(m,L_{\rm tot}), \]

so

\[ \mu_{\det}=\mu_{\rm F}=m. \]

4. Heterogeneous splitting

For piecewise masses \(m_i\), both scales remain invariant under refinement of the same physical profile:

\[ T(m_i,L_i) = T(m_i,L_i^{(2)}) T(m_i,L_i^{(1)}) \]

when

\[ L_i^{(1)}+L_i^{(2)}=L_i. \]

Therefore \(\mu_{\det}\) and \(\mu_{\rm F}\) are both subdivision-independent.

But generally,

\[ \boxed{ \mu_{\det}\ne\mu_{\rm F}. } \]

Homogeneity had hidden this ambiguity by making the two invariants coincide.

5. Reversal

For the tested positive scalar segments, reversing the layer order leaves both displayed scalar invariants unchanged, although it exchanges the two diagonal boundary responses. More general matrix-valued or nonreciprocal channels need not share this property.

The important point is not order sensitivity but nonuniqueness: transfer data contains more than one natural dimension-one invariant.

6. Consequence for carrier normalization

The homogeneous result

\[ \sqrt{\det X}=m \]

is robust and exact. In a heterogeneous environment, selecting \(\mu_{\det}\) rather than \(\mu_{\rm F}\) requires a physical principle.

Possible selectors are:

Subdivision invariance alone does not choose.

7. Stop-everything criteria

Advance determinant scale: the dressed carrier couples directly to the boundary Hessian, making \(\sqrt{\det X}\) operational.

Advance Floquet scale: the carrier is defined by asymptotic transfer/decay rather than local boundary flux.

Reject uniqueness: both scales affect observables independently and no symmetry relates them.

Generalize: find a unique symplectic spectral invariant for interacting matrix-valued transfer that reduces to both in the relevant limit.

8. Certificate

The heterogeneous transfer certificate compares both scales for homogeneous and piecewise masses, verifies exact refinement invariance and checks the reversal behavior.

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