Constructing New Realisable Lists from Old in the NIEP
Richard Ellard, Helena \v{S}migoc

TL;DR
This paper develops methods to construct new realisable lists of eigenvalues from existing ones within the Nonnegative Inverse Eigenvalue Problem, expanding the known classes of spectra that can be realized by nonnegative matrices.
Contribution
It introduces new techniques to generate larger realisable lists from known spectra, specifically handling cases with Perron eigenvalues and complex conjugates.
Findings
Established families of realisable lists with specified eigenvalue structures
Extended the set of known spectra that can be realized by nonnegative matrices
Provided constructive methods for spectrum augmentation
Abstract
Given a list of complex numbers \sigma:=(\lambda_1,\lambda_2,...,\lambda_m), we say that {\sigma} is realisable if {\sigma} is the spectrum of some (entrywise) nonnegative matrix. The Nonnegative Inverse Eigenvalue Problem (or NIEP) is the problem of categorising all realisable lists. Given a realisable list (\rho,\lambda_2,\lambda_3,...,\lambda_m), where {\rho} is the Perron eigenvalue and \lambda_2 is real, we find families of lists (\mu_1,\mu_2,...,\mu_n), for which (\mu_1,\mu_2,...,\mu_n,\lambda_3,\lambda_4,...,\lambda_m) is realisable. In addition, given a realisable list (\rho,\alpha+i\beta,\alpha-i\beta,\lambda_4,\lambda_5,...,\lambda_m), where {\rho} is the Perron eigenvalue and {\alpha} and {\beta} are real, we find families of lists (\mu_1,\mu_2,\mu_3,\mu_4), for which (\mu_1,\mu_2,\mu_3,\mu_4,\lambda_4,\lambda_5,...,\lambda_m) is realisable.
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Taxonomy
TopicsMatrix Theory and Algorithms · Advanced Algebra and Logic · Advanced Optimization Algorithms Research
