scholarly journals Microscopic Study of Static and Dynamical Properties of Dilute One-Dimensional Soft Bosons

2017 ◽  
Vol 187 (5-6) ◽  
pp. 719-726 ◽  
Author(s):  
M. Teruzzi ◽  
D. E. Galli ◽  
G. Bertaina
2002 ◽  
Vol 71 (8) ◽  
pp. 1947-1955 ◽  
Author(s):  
Satoshi Miyashita ◽  
Akira Kawaguchi ◽  
Norio Kawakami

1993 ◽  
Vol 48 (14) ◽  
pp. 10227-10239 ◽  
Author(s):  
J. Deisz ◽  
M. Jarrell ◽  
D. L. Cox

1991 ◽  
Vol 171 (1) ◽  
pp. 47-68 ◽  
Author(s):  
C. Aslangul ◽  
M. Barthélémy ◽  
N. Pottier ◽  
D. Saint-James

1995 ◽  
Vol 09 (23) ◽  
pp. 3069-3083 ◽  
Author(s):  
I.P. PAVLOTSKY ◽  
M. STRIANESE

In the post-Galilean approximation the Lagrangians are singular on a submanifold of the phase space. It is a local singularity, which differs from the ones considered by Dirac. The dynamical properties are essentially peculiar on the studied singular surfaces. In the preceding publications,1,2,3 two models of singular relativistic Lagrangians and the rectilinear motion of two electrons, determined by Darwin’s Lagrangian, were examined. In the present paper we study the peculiar dynamical properties of the two-dimensional Darwin’s Lagrangian. In particular, it is shown that the minimal distance between two electrons (the so called “radius of electron”) appears in the two-dimensional motion as well as in one-dimensional case. Some new peculiar properties are discovered.


2012 ◽  
Vol 26 (32) ◽  
pp. 1250208 ◽  
Author(s):  
XING-YUAN WANG ◽  
LEI YANG

In order to solve the problem of degradation of dynamical properties caused by finite states of computer, a new binary stream-cipher algorithm based on dual one-dimensional chaotic maps is proposed in this paper. In the process of generation, we employ a parameter of one chaotic map to perturb the other chaotic map's trajectory to lengthen the cycle-length of the other chaotic map's trajectory. In addition, we design a nonlinear principle to generate a pseudo-random chaotic bit sequence as key stream. Statistic proprieties show that the sequence is of high randomness.


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