arXiv:2610.31268
Rank-One Loss Maximizes the Spectral Response Strength of Passive Full-Order Exceptional Points
Jan Wiersig
Abstract
We consider finite-dimensional non-Hermitian systems in which all modes coalesce at a single exceptional point. For a rank-one anti-Hermitian contribution, the spectral response strength is computed exactly. For passive systems, we then derive a sharp upper bound at fixed exceptional-point decay rate and show that it is reached only when the decay operator has rank one, corresponding to a single independent dissipative direction. This establishes rank-one loss as the optimal configuration for enhancing the response of a full-order exceptional point. The bound holds for arbitrary order and improves on earlier passive estimates beyond second order. Two third-order trimers illustrate the result: a rank-one-loss system saturates the bound, whereas a passive rank-two-loss realization remains below it. The result turns dissipation into a design resource: concentrating the loss into a single effective dissipative direction maximizes the highest-order spectral response of a passive full-order exceptional-point device.
AI Summary
The paper asks how dissipation constrains the spectral response of a passive, finite-dimensional system at a full-order exceptional point (EP), where all $n$ modes form one Jordan chain. The response measure is $\xi=\|(H-E_{\mathrm{EP}}I)^{n-1}\|_2$, the norm of the highest-order resolvent-pole coefficient, which controls the leading perturbative eigenvalue-splitting bound. Writing $H=H_0-i\Gamma/2$ and $\beta=-2\operatorname{Im}E_{\mathrm{EP}}>0$, it proves the sharp passive bound $\xi\leq\beta^{n-1}$, with equality if and only if $\operatorname{rank}\Gamma=1$. At fixed total loss, this gives $\xi_{\max}=(\operatorname{tr}\Gamma/n)^{n-1}$. The bound improves the previous arbitrary-order estimate by a factor $(n/2)^{(n-1)/2}$ and establishes a previously numerically suggested third-order bound. A Schur decomposition expresses $\xi/\beta^{n-1}$ as a product of adjacent correlation magnitudes of a normalized positive-semidefinite decay matrix; Cauchy–Schwarz gives the bound and its equality condition. An explicit family saturates it for every order. Separately, a determinant-lemma argument establishes $\xi=(2|\operatorname{Im}E_{\mathrm{EP}}|)^{n-1}$ for rank-one loss or gain. Two passive trimers illustrate the result: rank-one loss gives $\xi=\beta^2$, while a uniformly loss-shifted parity-time-symmetric trimer with rank-two loss gives $\xi=\beta^2/2$. The theorem assumes EP order equals Hilbert-space dimension; embedded EPs and multiple Jordan chains remain outside its scope. It optimizes spectral response, not sensing performance, which also depends on perturbation orientation, excitation, readout, and noise.
OpenAI's ChatGPT, with the GPT-5.6 Pro model, was used as an interactive aid in examining intermediate algebraic steps.
Written by gpt-6.1-sol from the paper's full text. Automated: it can be wrong.
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