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A constrained optimization problem in quantum statistical physics
- Publication Year :
- 2019
-
Abstract
- In this paper, we consider the problem of minimizing quantum free energies under the constraint that the density of particles is fixed at each point of R d , for any d ≥ 1 . We are more particularly interested in the characterization of the minimizer, which is a self-adjoint nonnegative trace class operator, and will show that it is solution to a nonlinear self-consistent problem. This question of deriving quantum statistical equilibria is at the heart of the quantum hydrodynamical models introduced by Degond and Ringhofer in [4] . An original feature of the problem is the local nature of constraint, i.e. it depends on position, while more classical models consider the total number of particles in the system to be fixed. This raises difficulties in the derivation of the Euler-Lagrange equations and in the characterization of the minimizer, which are tackled in part by a careful parameterization of the feasible set.
- Subjects :
- Operator (physics)
Feasible region
FOS: Physical sciences
Mathematical Physics (math-ph)
[MATH.MATH-FA]Mathematics [math]/Functional Analysis [math.FA]
01 natural sciences
010305 fluids & plasmas
Functional Analysis (math.FA)
010101 applied mathematics
Constraint (information theory)
Mathematics - Functional Analysis
Nonlinear system
Position (vector)
[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]
0103 physical sciences
FOS: Mathematics
Point (geometry)
Statistical physics
0101 mathematics
Trace class
Quantum
Analysis
Mathematical Physics
Mathematics
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....4cc2a7e0053f3a7363aab1191e66dc66