scholarly journals Variational approximations to homoclinic snaking

2011 ◽  
Vol 83 (3) ◽  
Author(s):  
H. Susanto ◽  
P. C. Matthews
1998 ◽  
Vol 57 (2) ◽  
pp. 1489-1498 ◽  
Author(s):  
Fred Cooper ◽  
John Dawson ◽  
Salman Habib ◽  
Robert D. Ryne

Entropy ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. 313
Author(s):  
Imon Banerjee ◽  
Vinayak A. Rao ◽  
Harsha Honnappa

Datasets displaying temporal dependencies abound in science and engineering applications, with Markov models representing a simplified and popular view of the temporal dependence structure. In this paper, we consider Bayesian settings that place prior distributions over the parameters of the transition kernel of a Markov model, and seek to characterize the resulting, typically intractable, posterior distributions. We present a Probably Approximately Correct (PAC)-Bayesian analysis of variational Bayes (VB) approximations to tempered Bayesian posterior distributions, bounding the model risk of the VB approximations. Tempered posteriors are known to be robust to model misspecification, and their variational approximations do not suffer the usual problems of over confident approximations. Our results tie the risk bounds to the mixing and ergodic properties of the Markov data generating model. We illustrate the PAC-Bayes bounds through a number of example Markov models, and also consider the situation where the Markov model is misspecified.


2021 ◽  
Vol 103 (20) ◽  
Author(s):  
Giacomo Giudice ◽  
Aslı Çakan ◽  
J. Ignacio Cirac ◽  
Mari Carmen Bañuls

Author(s):  
Damià Gomila ◽  
Edgar Knobloch

Abstract In this work, we revisit some general results on the dynamics of circular fronts between homogeneous states and the formation of localized structures in two dimensions (2D). We show how the bifurcation diagram of axisymmetric structures localized in radius fits within the framework of collapsed homoclinic snaking. In 2D, owing to curvature effects, the collapse of the snaking structure follows a different scaling that is determined by the so-called nucleation radius. Moreover, in the case of fronts between two symmetry-related states, the precise point in parameter space to which radial snaking collapses is not a ‘Maxwell’ point but is determined by the curvature-driven dynamics only. In this case, the snaking collapses to a ‘zero surface tension’ point. Near this point, the breaking of symmetry between the homogeneous states tilts the snaking diagram. A different scaling law is found for the collapse of the snaking curve in each case. Curvature effects on axisymmetric localized states with internal structure are also discussed, as are cellular structures separated from a homogeneous state by a circular front. While some of these results are well understood in terms of curvature-driven dynamics and front interactions, a proper mathematical description in terms of homoclinic trajectories in a radial spatial dynamics description is lacking.


1976 ◽  
Vol 14 (2) ◽  
pp. 171-203 ◽  
Author(s):  
Leo P. Kadanoff ◽  
Anthony Houghton ◽  
Mehmet C. Yalabik

Nonlinearity ◽  
2011 ◽  
Vol 24 (4) ◽  
pp. 1271-1289 ◽  
Author(s):  
D E Pelinovsky ◽  
P G Kevrekidis

1976 ◽  
Vol 15 (3) ◽  
pp. 263-263 ◽  
Author(s):  
Leo P. Kadanoff ◽  
Anthony Houghton ◽  
Mehmet C. Yalabik

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