scholarly journals Branching diffusion representation for nonlinear Cauchy problems and Monte Carlo approximation

2021 ◽  
Vol 31 (5) ◽  
Author(s):  
Pierre Henry-Labordère ◽  
Nizar Touzi
2019 ◽  
Vol 55 (1) ◽  
pp. 184-210 ◽  
Author(s):  
Pierre Henry-Labordère ◽  
Nadia Oudjane ◽  
Xiaolu Tan ◽  
Nizar Touzi ◽  
Xavier Warin

1999 ◽  
Vol 27 (3) ◽  
pp. 579-584
Author(s):  
Peter Hall ◽  
Michael A. Martin ◽  
Shan Sun

2020 ◽  
Vol 42 (4) ◽  
pp. A2262-A2280 ◽  
Author(s):  
Wenwu Gao ◽  
Xingping Sun ◽  
Zongmin Wu ◽  
Xuan Zhou

2020 ◽  
Vol 40 (4) ◽  
pp. 2143-2162
Author(s):  
Martina Hofmanová ◽  
Marvin Knöller ◽  
Katharina Schratz

Abstract We consider the nonlinear Schrödinger equation with dispersion modulated by a (formal) derivative of a time-dependent function with fractional Sobolev regularity of class $W^{\alpha ,2}$ for some $\alpha \in (0,1)$. Due to the loss of smoothness in the problem, classical numerical methods face severe order reduction. In this work, we develop and analyze a new randomized exponential integrator based on a stratified Monte Carlo approximation. The new discretization technique averages the high oscillations in the solution allowing for improved convergence rates of order $\alpha +1/2$. In addition, the new approach allows us to treat a far more general class of modulations than the available literature. Numerical results underline our theoretical findings and show the favorable error behavior of our new scheme compared to classical methods.


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