A local-field-type model for immunological systems: time evolution in real and shape spaces

1996 ◽  
Vol 233 (1-2) ◽  
pp. 85-101 ◽  
Author(s):  
Andrés R.R. Papa ◽  
Constantino Tsallis
Keyword(s):  
Time Evolution ◽  
Local Field ◽  
Type Model ◽  
Shape Spaces ◽  
Field Type

scholarly journals Second Quantization Approach to COVID-19 Epidemic

2021 ◽  
pp. 1-12
Author(s):  
Leonardo Mondaini ◽  
Bernhard Meirose ◽  
Felipe Mondaini
Keyword(s):  
South Korea ◽  
Time Evolution ◽  
Infection Rate ◽  
Theoretical Language ◽  
Time Dependent ◽  
Type Model ◽  
Second Quantization ◽  
The Mean ◽  
Stochastic Sir ◽  
Good Agreement

In this article, a stochastic SIR-type model for COVID-19 epidemic is built using the standard field theoretical language based on creation and annihilation operators. From the model, we derive the time evolution of the mean number of infectious (active cases) and deceased individuals. In order to capture the effects of lockdown and social distancing, we use a time-dependent infection rate. The results are in good agreement with the data for three different waves of epidemic activity in South Korea.

STUDY OF THE TENSOR CORRELATION IN THE MEAN-FIELD-TYPE MODEL AND THE SHELL MODEL

2006 ◽  
Vol 21 (31n33) ◽  
pp. 2475-2482
Author(s):  
SATORU SUGIMOTO
Keyword(s):  
Shell Model ◽  
Single Particle ◽  
Mean Field ◽  
Tensor Force ◽  
Closed Shell ◽  
Wave Functions ◽  
Type Model ◽  
Tensor Correlation ◽  
Field Type ◽  
The Mean

We study the effect of the tensor correlation using a mean-field-type model and a shell model. To treat the tensor correlation in a mean-field-type model, we introduce single-particle states with the parity and charge mixing considering the pseudoscalar and isovector characters of the pion, which mediates the tensor force. We study closed-shell and sub-closed-shell oxygen isotopes and find that a sizable attractive energy from the tensor force is obtained by introducing the parity and charge mixing. We also perform a shell model calculation up to two-particle–two-hole configurations. A large attraction energy is obtained for 16 O when we introduce single-particle wave functions with narrow widths.

scholarly journals Existence and uniqueness of solutions for a conserved phase-field type model

2016 ◽  
Vol 1 (2) ◽  
pp. 144-155 ◽  
Author(s):  
Armel Judice Ntsokongo ◽  
◽  
Narcisse Batangouna
Keyword(s):  
Phase Field ◽  
Existence And Uniqueness ◽  
Type Model ◽  
Uniqueness Of Solutions ◽  
Field Type

scholarly journals On the Open Dicke-Type Model Generated by an Infinite-Component Vector Spin

2020 ◽  
Vol 27 (03) ◽  
pp. 2050012
Author(s):  
Ryota Kyokawa ◽  
Hajime Moriya ◽  
Hiroshi Tamura
Keyword(s):  
Harmonic Oscillator ◽  
Time Evolution ◽  
Single Mode ◽  
Type Model ◽  
Quantum Model ◽  
Asymptotic Equivalence ◽  
Completely Positive ◽  
Type Interaction ◽  
Dicke Model ◽  
Infinite Component

We consider an open Dicke model comprising a single infinite-component vector spin and a single-mode harmonic oscillator which are connected by Jaynes–Cummings-type interaction between them. This open quantum model is referred to as the OISD (Open Infinite-component Spin Dicke) model. The algebraic structure of the OISD Liouvillian is studied in terms of superoperators acting on the space of density matrices. An explicit invertible superoperator (precisely, a completely positive trace-preserving map) is obtained that transforms the OISD Liouvillian into a sum of two independent Liouvillians, one generated by a dressed spin only, the other generated by a dressed harmonic oscillator only. The time evolution generated by the OISD Liouvillian is shown to be asymptotically equivalent to that generated by an adjusted decoupled Liouvillian with some synchronized frequencies of the spin and the harmonic oscillator. This asymptotic equivalence implies that the time evolution of the OISD model dissipates completely in the presence of any (tiny) dissipation.

Mean-Field-Type Model Predictive Control

2021 ◽  
pp. 379-388
Author(s):  
Julian Barreiro-Gomez ◽  
Hamidou Tembine
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Mean Field ◽  
Type Model ◽  
Field Type
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