Abstract
How and why could an interacting system of many particles be described as if all particles were independent and identically distributed? This question is at least as old as statistical mechanics itself. Its quantum version has been rejuvenated by the birth of cold atoms physics. In particular, the experimental creation of Bose–Einstein condensates leads to the following variant: why and how can a large assembly of very cold interacting bosons (quantum particles deprived of the Pauli exclusion principle) all populate the same quantum state? In this text I review the various mathematical techniques allowing to prove that the lowest energy state of a bosonic system forms, in a reasonable macroscopic limit of large particle number, a Bose–Einstein condensate. This means that indeed in the relevant limit all particles approximately behave as if independent and identically distributed, according to a law determined by minimizing a non-linear Schrödinger energy functional. This is a particular instance of the justification of the mean-field approximation in statistical mechanics, starting from the basic many-body Schrödinger Hamiltonian.
Highlights
We start with the basic mathematical description of N non-relativistic d−dimensional quantum particles in a scalar potential V : Rd → R and a gauge vector potential A : Rd → Rd, interacting via an even pairinteraction potential w : Rd → R
Readers already acquainted with quantum statistical mechanics will probably want to skip to Section 1.4 after glancing at Section 1.1, and very briefly at Sections 1.2 and 1.3 to get familiar with the notation1 I use
In most of the text our applications will be to cold alkali gases [249, 255, 35, 83, 108, 71, 315], where the particles are neutral atoms, the magnetic field is artificial, the external potential is a magneto-optic trap and interactions are via van der Waals forces
Summary
Readers already acquainted with quantum statistical mechanics will probably want to skip to Section 1.4 after glancing at Section 1.1, and very briefly at Sections 1.2 and 1.3 to get familiar with the notation I use. The first three sections are intended as a very basic introduction to newcomers in the field
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