Search arXiv⌕ Search

arXiv · 2611.01574

Exact solution of the dynamic pseudogap model: Fock-space formalism for Gaussian fluctuations

Abstract

We present an exact solution of the dynamic finite-$Q$ pseudogap model, in which electrons scatter between two nested Fermi-surface patches off a classical Gaussian order-parameter field with characteristic frequency $ω_0$ and damping $γ$. The disorder-averaged Green's function is shown to be a single matrix element of the resolvent of a sparse non-Hermitian matrix acting on a Fock space of two (commensurate fluctuations) or four (incommensurate fluctuations) bosonic modes with complex energies. The non-commutativity of the pseudospin vertices at different times, which prevented an exact treatment so far, is retained in full. We derive the representation, its symmetries, and the exact limits it contains: the static continued fractions, the closed-form commensurate solution at the Fermi surface, and the second-order self-energy. A numerically exact implementation gives spectral functions and densities of states for all values of the fluctuation frequency, damping and electron energy. We find that the sideband comb of the spectral function stays close to multiples of $ω_0$ and that quasiparticle damping is governed by an energy-dependent decoherence rate. At resonance of a quasiparticle energy with $ω_0/2$, we obtain the static fuctuating-gap in a rotating frame, which leads to resonant splitting of the quasiparticle peak.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Michael V. Sadovskii. 2026-11-01. Exact solution of the dynamic pseudogap model: Fock-space formalism for Gaussian fluctuations. https://arxiv.org/abs/2611.01574

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Statistical levels and spatial modes of Fock-space heterogeneity in many-body localization crossovers

Near many-body localization crossovers, local memory fluctuates strongly among eigenstates and ensemble realizations, but the observed heterogeneity combines contributions from different statistical levels. We develop a statistical framework based on configuration-space distance distributions that uses a variance decomposition to separate fluctuations within eigenstates, between eigenstates of one sample, and between samples. Applying this framework to random-cosine and quasiperiodic-cosine Ising ensembles with the same one-site field marginal, we find that, at the exact-diagonalization sizes studied, the clearest difference occurs among disorder realizations or quasiperiodic phase samples, whereas within-eigenstate and within-sample eigenstate-to- eigenstate contributions remain broadly comparable. Spatial covariances show that random outer fluctuations have a much stronger uniform component, whereas quasiperiodic phase fluctuations are organized more strongly at finite wave number and partly cancel in the spatial average controlling the distance center. We find that, near the crossover in the random ensemble, the ensemble-averaged distance center is particularly sensitive to changes in the nominal field strength. Combined with sample-to-sample differences in the realized field amplitude, this mean response accounts for much of the sample-to-sample variation in the distance center. Analysis of half-chain entanglement further shows that its sample-to-sample fluctuations likewise reflect the combined effects of amplitude variations and its own mean response. An application to a fixed-magnetization spin chain demonstrates the framework in a constrained configuration space. Resolving both statistical level and spatial mode therefore provides a more complete picture of sample- dependent many-body memory and its configuration-space probability geometry.

cond-mat.dis-nn↗

Synchronous and asynchronous Monte Carlo dynamics of mean-field spin glasses with rotationally invariant couplings: what they share and where they differ

We compare two Markov chain Monte Carlo dynamics for Ising spin glasses with rotationally invariant couplings: the synchronous Monte Carlo method (SyncMC), which updates all spins in parallel with the help of Gaussian auxiliary fields, and asynchronous Metropolis-Hastings dynamics, which updates one spin at a time. Using the Guionnet-Maïda formula, we derive the dynamical mean-field theory of both dynamics in terms of the R-transform of the coupling spectrum. The two effective single-spin processes share a retarded self-interaction and a Gaussian noise; SyncMC has, in addition, an instantaneous self-coupling and a noise that depends only on the response function. These additional terms act only on the fastest time scale, so that the equations for slow time scales, including the fluctuation-dissipation ratio and, for the Sherrington-Kirkpatrick model, the Parisi equation, are the same for the two dynamics. Simulations of the random orthogonal and Sherrington-Kirkpatrick models confirm that both dynamics approach the same fluctuation-dissipation relations, differing only in how many updates they need to do so.

cond-mat.dis-nn↗

Optical Ceiling on Polaron Mobility in Disordered Molecular Semiconductors: Lessons from Eumelanin

Polaron hopping in disordered molecular semiconductors such as eumelanin is set by energetic disorder $σ$ and reorganization energy $λ$. We show that the reduced polaron absorption band encodes this transport problem. Its value at zero energy fixes the mean hop rate, which bounds the mobility in any dimension. For Gaussian disorder and classical vibrations its centroid is $E_\mathrm{op}=λ+(1-c)σ^2/k_BT$, its variance obeys the Hush relation, and the bound is the Marcus rate at $λ\to E_\mathrm{op}$; a 1D lower bound vanishes at $k_BT^*=(1-c)σ^2/λ$, read from optics.

cond-mat.dis-nn↗