Bosonization of interacting fermions in arbitrary dimension beyond the Gaussian approximation
Peter Kopietz, Joachim Hermisson, Kurt Schoenhammer
Abstract
We use our recently developed functional bosonization approach to bosonize interacting fermions in arbitrary dimension d beyond the Gaussian approximation. Even in d=1 the finite curvature of the energy dispersion at the Fermi surface gives rise to interactions between the bosons. In higher dimensions scattering processes describing momentum transfer between different patches on the Fermi surface (around-the-corner processes) are an additional source for corrections to the Gaussian approximation. We derive an explicit expression for the leading correction to the bosonized Hamiltonian and the irreducible self-energy of the bosonic propagator that takes the finite curvature as well as around-the-corner processes into account. In the special case that around-the-corner scattering is negligible, we show that the self-energy correction to the Gaussian propagator is negligible if the dimensionless quantities ( qc kF )d F0 [ 1 + F0 ]-1 μνα | ∂ να ∂ μ | are small compared with unity for all patches α. Here qc is the cutoff of the interaction in wave-vector space, kF is the Fermi wave-vector, μ is the chemical potential, F0 is the usual dimensionless Landau interaction-parameter, and να is the local density of states associated with patch α. We also show that the well known cancellation between vertex- and self-energy corrections in one-dimensional systems, which is responsible for the fact that the random-phase approximation for the density-density correlation function is exact in d=1, exists also in d> 1, provided (1) the interaction cutoff qc is small compared with kF, and (2) the energy dispersion is locally linearized at the Fermi the Fermi surface. Finally, we suggest a new systematic method to calculate corrections to the RPA, which is based on the perturbative calculation of the irreducible bosonic self-energy arising from the non-Gaussian terms of the bosonized Hamiltonian.
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