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Large-N Dynamics

Large NN converts some strongly coupled quantum theories into controlled saddle or graph expansions, but only after the index family, field and action normalization, held coupling, normalized observable, state, and order of limits have been fixed. This chapter develops vector auxiliary fields, matrix eigenvalue densities, ribbon topology, factorization, gauge-theory organization, volume equivalence, tensor melons, and the critical regimes where a fixed 1/N1/N expansion fails.

Begin with Large-N Limits, Normalizations, and Orders of Limits to fix the index family, normalization, and quantities held constant.

Helpful background. Review Asymptotic Scales, Remainders, Uniformity, and Optimal Truncation and Diagrammatics and Symmetry Factors for asymptotic expansions and graph combinatorics.

  1. Large-N Limits, Normalizations, and Orders of Limits — Defines a large-N limit before taking it.
  2. Vector Models, Auxiliary Fields, and Large-N Saddles — Turns vector singlets into auxiliary-field saddles.
  3. Matrix Eigenvalue Saddles, Loop Equations, and Phase Transitions — Derives eigenvalue densities and loop equations.
  4. Double-Line Counting and the Topological Expansion — Counts index loops through ribbon-graph topology.
  5. Large-N Factorization and Master-Field Claims — States factorization for normalized operators in a chosen state.
  6. Planar Gauge Dynamics and String-Like Organization — Distinguishes planar organization from a constructed string dual.
  7. Volume Reduction, Large-N Equivalence, and Their Hypotheses — Tests symmetry hypotheses for reduced-volume equivalence.
  8. Tensor Large N and Melonic Dominance — Identifies the interactions producing melonic dominance.
  9. Subleading Corrections, Double Scaling, and Nonuniform Limits — Diagnoses enhancement of nominally subleading terms.

Index counting suppresses connected correlations only for the declared normalization and state. In matrix-like theories, handles cost powers of 1/N21/N^2, explaining why planar diagrams dominate, but this combinatorial fact does not construct a string dual. Near a critical point, coefficients multiplying the nominally suppressed terms can diverge, invalidating the fixed-order expansion. Double scaling keeps a correlated combination of parameters fixed to reorganize that failure; it is a new limit rather than an automatic improvement to every large-N result. Mariño 2015, chs. 7–8.

Continue to Continuum Functional Equations and Controlled Truncations to derive a correlation hierarchy and identify the inputs needed to solve it.

  • Mariño, Marcos. Instantons and Large N: An Introduction to Non-Perturbative Methods in Quantum Field Theory. Cambridge University Press, 2015. DOI.