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Related papers: An Approximate Solution of the Jaynes-Cummings Mod…

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We study the asymmetric exclusion process with open boundaries and derive the exact form of the joint probability function for the occupation number and the current through the system. We further consider the thermodynamic limit, showing…

Statistical Mechanics · Physics 2009-11-10 Martin Depken , Robin Stinchcombe

A two level system resonantly coupled to a single mode cavity field and subject to ground state occupancy measurement like interaction is considered. For this situation, the solution to the Lindblad master equation for the density matrix is…

Quantum Physics · Physics 2007-10-22 Vikram Athalye

We study the stationary Boltzmann equation in a thin slab for a rarefied gas for which the molecular mean free path is comparable to the film thickness. We prove that there exists a solution which converges, in the hydrodynamic limit, to a…

Analysis of PDEs · Mathematics 2020-02-12 Andrei Ichim

We propose and analyze a symmetric version of the Zassenhaus formula for disentangling the exponential of two non-commuting operators. A recursive procedure for generating the expansion up to any order is presented which also allows one to…

Rings and Algebras · Mathematics 2018-08-02 Ana Arnal , Fernando Casas , Cristina Chiralt

Using kinematic renormalization, we derive the Schwinger--Dyson equations for a massive Yukawa model and a Wess--Zumino-like one. Both have linear Schwinger--Dyson equations and a massive renormalized particle. An explicit solution is found…

High Energy Physics - Theory · Physics 2014-09-12 Pierre J. Clavier

It is shown how any Lindbladian evolution with selfadjoint Lindblad operators, either Markovian or nonMarkovian, can be understood as an averaged random unitary evolution. Both mathematical and physical consequences are analyzed. First a…

Quantum Physics · Physics 2007-05-23 D. Salgado , J. L. Sanchez-Gomez

In a series of publications the Cummings-Stell model (CSM), for a binary mixture of associative fluids with steric effects, has been solved analytically using the Percus-Yevick approximation (PYA). The solution consists in a square well…

Statistical Mechanics · Physics 2009-03-24 J. F. Rojas

I study the Lyapunov exponent and the integrated density of states for general Jacobi operators. The main result is that questions about these, can be reduced to questions about ergodic Jacobi operators. Then, I apply this to $a(n) = 1$ and…

Spectral Theory · Mathematics 2015-05-13 Helge Krueger

For a prototype quadratic Hamiltonian describing a driven, dissipative system, exact matrix elements of the reduced density matrix are obtained from a generating function in terms of the normal characteristic functions. The approach is…

Quantum Physics · Physics 2021-08-24 Sh. Saedi , F. Kheirandish

We propose a new approach to models of general compressible viscous fluids based on the concept of dissipative solutions. These are weak solutions satisfying the underlying equations modulo a defect measure. A dissipative solution coincides…

Analysis of PDEs · Mathematics 2020-01-01 Anna Abbatiello , Eduard Feireisl , Antonin Novotny

We derive an expression for a density operator estimated via Bayesian quantum inference in the limit of an infinite number of measurements. This expression is derived under the assumption that the reconstructed system is in a pure state. In…

Quantum Physics · Physics 2016-09-08 R. Derka , V. Buzek , G. Adam , P. L. Knight

We study the complex Ginzburg-Landau equation posed on possibly unbounded domains, including some singular and saturated nonlinear damping terms. This model interpolates between the nonlinear Schr{\"o}dinger equation and dissipative…

Analysis of PDEs · Mathematics 2026-04-16 Pascal Bégout , Jesús Ildefonso Díaz

A general solution of the Jeans equations for oblate scale-free logarithmic potentials is given. This provides all possible second velocity moments that can hold up a stellar population of flattened scale-free density against the gravity…

Astrophysics · Physics 2015-06-24 P. T. de Zeeuw , N. W. Evans , M. Schwarzschild

We use an upper bound on Jacobsthal's function to complete a proof of a known density result. Apart from the bound on Jacobsthal's function used here, the proof we are completing uses only elementary methods and Dirichlet's theorem on the…

Number Theory · Mathematics 2012-10-04 Timothy Foo

It is well-known that the Bhattacharyya, Hellinger, Kullback-Leibler, $\alpha$-divergences, and Jeffreys' divergences between densities belonging to a same exponential family have generic closed-form formulas relying on the strictly convex…

Statistics Theory · Mathematics 2020-04-08 Frank Nielsen , Richard Nock

Classes of (p,q)-deformations of the Jaynes-Cummings model in the rotating wave approximation are considered. Diagonalization of the Hamiltonian is performed exactly, leading to useful spectral decompositions of a series of relevant…

Quantum Physics · Physics 2015-06-26 Joseph Ben Geloun , Jan Govaerts , M. Norbert Hounkonnou

Herein we study the problem of recovering a density operator from a set of compatible marginals, motivated from limitations of physical observations. Given that the set of compatible density operators is not singular, we adopt Jaynes'…

Mathematical Physics · Physics 2021-01-21 Serena Di Giorgio , Paulo Mateus

We derived the equation of the density operator for generalized entropy and generalized expectation value with quantum analysis when conserved quantities exist. The derived equation is simplified when the conventional expectation value is…

Statistical Mechanics · Physics 2021-08-31 Masamichi Ishihara

The quantum master equation is introduced for the density matrix representing Bogoliubov-BCS quasiparticles. A constraint to relate the loss and gain factors is taken into account to preserve the form of the density matrix. Such an equation…

Superconductivity · Physics 2014-04-07 Chun-Feng Huang , Keh-Ning Huang

In the present paper we introduce new optimization algorithms for the task of density ratio estimation. More precisely, we consider extending the well-known KMM method using the construction of a suitable loss function, in order to…

Machine Learning · Computer Science 2023-09-15 Cristian Daniel Alecsa