Efimov Physics with a Finite-Range Parameter

2015 ◽  
Vol 56 (11-12) ◽  
pp. 881-887
Author(s):  
M. Gattobigio ◽  
A. Kievsky
Keyword(s):  
Finite Range ◽  
Efimov Physics ◽  
Range Parameter

Conditions for Efimov physics for finite-range potentials

2009 ◽  
Vol 80 (1) ◽  
Author(s):  
M. Thøgersen ◽  
D. V. Fedorov ◽  
A. S. Jensen ◽  
B. D. Esry ◽  
Yujun Wang
Keyword(s):  
Finite Range ◽  
Efimov Physics

scholarly journals Interpolating the Schwarzschild and de Sitter metrics

2019 ◽  
Vol 28 (02) ◽  
pp. 1950038
Author(s):  
M. Halilsoy ◽  
S. Habib Mazharimousavi
Keyword(s):  
General Relativity ◽  
Acta Math ◽  
Finite Range ◽  
De Sitter ◽  
Sitter Solution ◽  
Common Parameter ◽  
Range Parameter ◽  
Alternative Approaches ◽  
High Level ◽  
The Way

The binary potential technique of interpolation (by [M. Riesz, Acta Math. 81 (1949) 1]) is applied to some well-known metrics of general relativity. These include Schwarzschild, de Sitter and [Formula: see text]-dimensional BTZ spacetimes. In particular, the Schwarzschild–de Sitter solution is analyzed in some detail with a finite range parameter. Reasoning by the high level of nonlinearity and absence of a superposition law necessitates searching for alternative approaches. We propose the method of interpolation between different spacetimes as one such possibility paving the way toward controling the two-metric system by a common parameter.

scholarly journals Finite-range effects in Efimov physics beyond the separable approximation

2019 ◽  
Vol 99 (1) ◽  
Author(s):  
P. M. A. Mestrom ◽  
T. Secker ◽  
R. M. Kroeze ◽  
S. J. J. M. F. Kokkelmans
Keyword(s):  
Finite Range ◽  
Efimov Physics ◽  
Separable Approximation

Finite-size instabilities in finite-range forces

2021 ◽  
Vol 103 (6) ◽  
Author(s):  
C. Gonzalez-Boquera ◽  
M. Centelles ◽  
X. Viñas ◽  
L. M. Robledo
Keyword(s):  
Finite Size ◽  
Finite Range

scholarly journals Markov properties of cluster processes

1996 ◽  
Vol 28 (2) ◽  
pp. 346-355 ◽  
Author(s):  
A. J. Baddeley ◽  
M. N. M. Van Lieshout ◽  
J. Møller
Keyword(s):  
Poisson Process ◽  
Point Process ◽  
Markov Property ◽  
Nearest Neighbour ◽  
Finite Range ◽  
Cluster Process ◽  
Cluster Point Process ◽  
Poisson Cluster ◽  
Markov Properties ◽  
Uniformly Bounded

We show that a Poisson cluster point process is a nearest-neighbour Markov point process [2] if the clusters have uniformly bounded diameter. It is typically not a finite-range Markov point process in the sense of Ripley and Kelly [12]. Furthermore, when the parent Poisson process is replaced by a Markov or nearest-neighbour Markov point process, the resulting cluster process is also nearest-neighbour Markov, provided all clusters are non-empty. In particular, the nearest-neighbour Markov property is preserved when points of the process are independently randomly translated, but not when they are randomly thinned.

A simple model of a glass with finite-range periodic interactions

2000 ◽  
Vol 33 (50) ◽  
pp. L497-L502
Author(s):  
L B Ioffe ◽  
D Sherrington
Keyword(s):  
Simple Model ◽  
Finite Range
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