Perfect fluid model with g = 2

2021 ◽  
Vol 34 (2) ◽  
pp. 224-226
Author(s):  
John French

A perfect fluid model with a shell of charge is presented which yields g = 2 for low angular velocity. This model is not intended to represent a classical model of the electron but to show that a simple model based on equations consistent with special relativity can yield a value of g = 2.

2002 ◽  
Vol 17 (20) ◽  
pp. 2749-2749
Author(s):  
A. B. BATISTA ◽  
J. C. FABRIS ◽  
S. V. B. GONCALVES ◽  
J. TOSSA

The quantization of gravity coupled to a perfect fluid model leads to a Schrödinger-like equation, where the matter variable plays the role of time. The wave function can be determined, in the flat case, for an arbitrary barotropic equation of state p = α ρ; solutions can also be found for the radiative non-flat case. The wave packets are constructed, from which the expectation value for the scale factor is determined. The quantum scenarios reveal a bouncing Universe, free from singularity. Such quantum cosmological perfect fluid models admit a universal classical analogue, represented by the addition, to the ordinary classical model, of a repulsive stiff matter fluid1,2. The existence of this universal classical analogue may imply that this perfect fluid coupled to gravity model is not a real quantum system. The quantum cosmological perfect fluid model is, for a flat spatial section, formally equivalent to a free particle in ordinary quantum mechanics, for any value of α, while the radiative non-flat case is equivalent to the harmonic oscillator. The repulsive fluid needed to reproduce the quantum results is the same in both cases.


1986 ◽  
Vol 71 ◽  
Author(s):  
I. Suni ◽  
M. Finetti ◽  
K. Grahn

AbstractA computer model based on the finite element method has been applied to evaluate the effect of the parasitic area between contact and diffusion edges on end resistance measurements in four terminal Kelvin resistor structures. The model is then applied to Al/Ti/n+ Si contacts and a value of contact resistivity of Qc = 1.8×10−7.Ωcm2 is derived. For comparison, the use of a self-aligned structure to avoid parasitic effects is presented and the first experimental results obtained on Al/Ti/n+Si and Al/CoSi2/n+Si contacts are shown and discussed.


2018 ◽  
Vol 24 (9) ◽  
pp. 933-944 ◽  
Author(s):  
Anastasios C. Papachristou ◽  
Charalampos A. Vallianos ◽  
Vasken Dermardiros ◽  
Andreas K. Athienitis ◽  
JosÉ A. Candanedo

2019 ◽  
Vol 9 (1) ◽  
pp. 31-37
Author(s):  
Marlifia Berhitu ◽  
Semuel Unwakoly ◽  
Y Manoppo

The purpose of this research is to know thestudent learningoutcomes of grade X SMA KARTIKA XIII-1 AMBON as well as knowing there is a difference whether or not the results of student learning using cooperative type Team Games Tournament(TGT) with type Make a Match as the learning model.This research is the comparison research which the sample consists of two classes, the class was given further study of chemistry at the consept of moles materials, first classexperiment (X-1) using the cooperative type Team Games Tournament(TGT) and in secondclass experiment (X-2) using the cooperative type Make a Match as the learning model. Based on the results of the study gained note that both models of learning that can enhance the learning outcomes of students, it can be seen from the success of the qualifications obtained from both the class when there has same qualification of 75% of students are on completed qualifying, 25% of students are on failed qualifying, with average from X-1 class used Type TGT is 66.125 and X-2 class used Type Make a Match is 57.3125. Hypothesis test data derived from posttest both class indicates the value significance of 0.25 (> 0.05) this a value of H0received and value of H1 rejected so it can be concluded there is no difference in student learning outcomes are either the cooperative type Team Games Tournament (TGT)and type Make a Match as the learning model.


2003 ◽  
Vol 19 ◽  
pp. 11-23 ◽  
Author(s):  
R. I. Brafman ◽  
M. Tennenholtz

In common-interest stochastic games all players receive an identical payoff. Players participating in such games must learn to coordinate with each other in order to receive the highest-possible value. A number of reinforcement learning algorithms have been proposed for this problem, and some have been shown to converge to good solutions in the limit. In this paper we show that using very simple model-based algorithms, much better (i.e., polynomial) convergence rates can be attained. Moreover, our model-based algorithms are guaranteed to converge to the optimal value, unlike many of the existing algorithms.


2020 ◽  
Vol 32 (4) ◽  
pp. 822-831
Author(s):  
Hokuto Miyakawa ◽  
◽  
Takuma Nemoto ◽  
Masami Iwase

This paper presents a method for analyzing the throwing motion of a yo-yo based on an integrated model of a yo-yo and a manipulator. Our previous integrated model was developed by constraining a model of a white painted commercial yo-yo and a model of a plain single-link manipulator with certain constraining conditions placed between two models. However, for the yo-yo model, the collisions between the string and the axle of the yo-yo were not taken into account. To avoid this problem, we estimate some of the yo-yo parameters from the experiments, thereby preserving the functionality of the model. By applying the new integrated model with the identified parameters, we analyze the throwing motion of the yo-yo through numerical simulations. The results of which show the ranges of the release angle and the angular velocity of the joint of the manipulator during a successful throw. In conclusion, the proposed analysis method is effective in analyzing the throwing motion of a manipulator.


Sign in / Sign up

Export Citation Format

Share Document