Stability mapping of bipartite tight-binding graphs with losses and gain: ${\cal PT}-$symmetry and beyond
L. A. Moreno-Rodriguez, C. T. Martinez-Martinez, J. A., Mendez-Bermudez, Henri Benisty

TL;DR
This paper investigates the spectral stability of bipartite non-Hermitian graphs with gain and loss, revealing conditions under which their spectra remain real and stable, relevant for complex network modeling in various scientific fields.
Contribution
It introduces a model of bipartite graphs with gain and loss, analyzing their spectral properties and identifying parameter regimes with predominantly real spectra, extending understanding of non-Hermitian network stability.
Findings
Existence of a parameter sector with predominantly real spectra
Spectral stability depends on graph connectivity and gain/loss strength
The sector size increases with the number of nodes (N)
Abstract
We consider bipartite tight-binding graphs composed by nodes split into two sets of equal size: one set containing nodes with on-site loss, the other set having nodes with on-site gain. The nodes are connected randomly with probability . We give a rationale for the relevance of such "throttle/brake" coupled systems (physically open systems) to grasp the stability issues of complex networks in areas such as biochemistry, neurons or economy, for which their modelling in terms of non-hermitian Hamiltonians is still in infancy. Specifically, we measure the connectivity between the two sets with the parameter , which is the ratio of current adjacent pairs over the total number of possible adjacent pairs between the sets. For general undirected-graph setups, the non-hermitian Hamiltonian of this model presents pseudo-Hermiticity, where is the…
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Taxonomy
TopicsProtein Structure and Dynamics · Quantum Mechanics and Non-Hermitian Physics · Crystallography and molecular interactions
