Large N vector models in the Hamiltonian framework
Diego Barberena

TL;DR
This paper introduces a Hamiltonian-based fluctuating N formalism for large N vector models, providing new insights into their ground states, excitations, and connections to AdS/CFT and Vasiliev gravity.
Contribution
It develops a second-quantization approach to large N vector models, enabling Hamiltonian analysis and interpretation of saddle points as Bose-Einstein condensates.
Findings
Recovered known gap equations and critical exponents
Identified bound states at negative coupling
Linked large N saddle points to Bose-Einstein condensates
Abstract
We present a fluctuating formalism, based on second-quantization, to describe large vector models from field theory using Hamiltonian methods. We first present the method in the simpler setting of a quantum mechanical system with quartic interactions, and then apply these techniques to the model in and dimensions. We recover various known results, such as the gap equation determining the ground state of the system, the presence of bound states at negative coupling and the leading order contribution to critical exponents, and provide an interpretation of the large path integral saddle point as a Bose-Einstein condensate of extended objects in the presence of a non-local interaction. In the large limit, this formalism leads naturally to a description of elementary symmetric excitations in terms of bilocal fields, which are at the basis of…
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods
