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Finite Density and Conserved Charges

A chemical potential changes the statistical weight of a conserved charge and can reorganize both the ground state and the excitation spectrum. This chapter connects ensembles, charge response, finite-density thresholds, and the limitations of numerical access.

Begin with Conserved Charges and Grand-Canonical States to identify which conserved quantities admit chemical potentials.

Helpful background. Conserved Charges and Grand-Canonical States and Continuous Symmetries, Generators, and Charges develop the definitions used by the chapter’s opening pages.

  1. Conserved Charges and Grand-Canonical States — Gives the admissibility, stability, gauge, anomaly, and superselection tests for H−μaQaH-\mu_aQ_a.
  2. Chemical Potentials and Finite-Density Ensembles — Derives free distributions, density, susceptibility, KMS shifts, and the canonical convention table.
  3. Generalized Gibbs Ensembles for Integrable Charges — Maps commuting local and quasilocal charges to a TBA macrostate and tests completeness.
  4. Noncommuting Charges and Generalized Gibbs States — Derives the non-Abelian maximum-entropy state, Kubo–Mori response, and residual symmetry.
  5. Chemical Potentials as Temporal Gauge Fields and Holonomies — Connects derivative shifts, thermal twists, imaginary chemical potential, and large gauge transformations.
  6. Finite-Density Correlators and Charge Susceptibilities — Treats charged detailed balance, contact terms, Ward identities, diffusion, and noncommuting static/dynamic limits.
  7. Silver Blaze Behavior, Thresholds, and Density Instabilities — Derives zero-temperature independence below the smallest E/QE/Q and classifies onset mechanisms.
  8. Euclidean and Real-Time Access at Finite Density — Compares expansion, continuation, reweighting, canonical, complexified, real-time, and EFT routes by failure tests and limits of interpretation.

Charge derivatives of the pressure determine densities and susceptibilities, while charged correlators carry corresponding thermal twists. Both constructions must use the same Hamiltonian, charge normalization, and ensemble Laine and Vuorinen 2016, ch. 3.

At zero temperature, a chemical potential can change the statistical weight without changing the state until a charged excitation becomes energetically favorable. This threshold question is distinct from whether a Euclidean simulation has a positive sampling weight. A sign problem limits one computational representation; it does not establish a physical phase boundary.

Continue to Thermal Perturbation Theory and Renormalization to identify the momentum regions controlling a thermal loop.