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Amplified magnetic catalysis in non-Hermitian Euclidean and hyperbolic Dirac liquids

Published 2 Oct 2025 in cond-mat.str-el, cond-mat.mes-hall, and hep-th | (2510.02304v1)

Abstract: Due to their iconic linearly vanishing density of states near the zero-energy, half-filled two-dimensional Dirac materials in flat Euclidean and negatively-curved hyperbolic spaces exhibit dynamic mass generation only once a critical interaction strength is surpassed. Application of external magnetic fields onto these systems can, however, trigger the formation of such ordered phases yielding isotropic insulation near the band-center at arbitrarily weak coupling, a phenomenon known as magnetic catalysis. Recently, it has been proposed that a specific type of non-Hermiticity, allowing the system to feature an all-real eigenvalue spectrum otherwise squeezed toward the zero-energy, can bring down the requisite critical coupling of a specific family of ordered phases, commuting class masses, to a desired lower finite value in Dirac systems, a phenomenon known as non-Hermitian catalysis (arXiv:2501.18591). Here, we predict that a confluence of external magnetic fields and such a non-Hermiticity can amplify the magnitude of commuting class masses for subcritical strengths of interactions in Dirac liquids, an emergent phenomenon named non-Hermitian amplification of magnetic catalysis. We anchor this prediction from numerical self-consistent mean-field solutions of the commuting class mass charge-density-wave (antiferromagnetic) order displaying a staggered pattern of average electronic density (magnetization) between the nearest neighboring sites of the half-filled Euclidean honeycomb and hyperbolic {10, 3} and {14, 3} lattices, all featuring emergent non-Hermitian Dirac quasiparticles, after decomposing the nearest-neighbor Coulomb (on-site Hubbard) repulsion in the Hartree channel. We discuss the scaling behavior of these two orders with magnetic field and non-Hermiticity over a wide range of subcritical interactions.. Possible experimental setups to test our predictions are discussed.

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