scholarly journals Displacement convexity for the entropy in semi-discrete non-linear Fokker–Planck equations

2018 ◽  
Vol 30 (6) ◽  
pp. 1103-1122 ◽  
Author(s):  
JOSÉ A. CARRILLO ◽  
ANSGAR JÜNGEL ◽  
MATHEUS C. SANTOS

The displacement λ-convexity of a non-standard entropy with respect to a non-local transportation metric in finite state spaces is shown using a gradient flow approach. The constant λ is computed explicitly in terms ofa prioriestimates of the solution to a finite-difference approximation of a non-linear Fokker–Planck equation. The key idea is to employ a new mean function, which defines the Onsager operator in the gradient flow formulation.

Mathematics ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 363 ◽  
Author(s):  
Dipty Sharma ◽  
Paramjeet Singh ◽  
Ravi P. Agarwal ◽  
Mehmet Emir Koksal

We consider a noisy leaky integrate-and-fire (NLIF) neuron model. The resulting nonlinear time-dependent partial differential equation (PDE) is a Fokker-Planck Equation (FPE) which describes the evolution of the probability density. The finite element method (FEM) has been proposed to solve the governing PDE. In the realistic neural network, the irregular space is always determined. Thus, FEM can be used to tackle those situations whereas other numerical schemes are restricted to the problems with only a finite regular space. The stability of the proposed scheme is also discussed. A comparison with the existing Weighted Essentially Non-Oscillatory (WENO) finite difference approximation is also provided. The numerical results reveal that FEM may be a better scheme for the solution of such types of model problems. The numerical scheme also reduces computational time in comparison with time required by other schemes.


2007 ◽  
Author(s):  
T. Wada ◽  
A. M. Scarfone ◽  
Sumiyoshi Abe ◽  
Hans Herrmann ◽  
Piero Quarati ◽  
...  

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