The higher-dimensional pointwise error expansion conjecture for Zakai equations

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Let d3d\geq 3, and let vv solve the dd-dimensional Zakai SPDE. For a spatial grid with spacings hxi>0h_{x_i}>0, let Vi1,,idNV_{i_1,\ldots,i_d}^N denote the implicit finite-difference approximation at time T=NkT=Nk and spatial point (i1hx1,,idhxd)(i_1h_{x_1},\ldots,i_dh_{x_d}). Assume the implicit finite-difference scheme is stable, and let the timestep and mesh sizes satisfy

kλmin{hx12,hx22,,hxd2},k\leq \lambda\min\{h_{x_1}^2,h_{x_2}^2,\ldots,h_{x_d}^2\},

for an arbitrary fixed λ>0\lambda>0. The higher-dimensional pointwise error expansion conjecture. Under these assumptions,

E[Vi1,,idNv(T,x1,,xd)2]=O(hx12)+O(hx22)++O(hxd2),\sqrt{\mathbb{E}\left[\left|V_{i_1,\ldots,i_d}^N-v(T,x_1,\ldots,x_d)\right|^2\right]}=O(h_{x_1}^2)+O(h_{x_2}^2)+\cdots+O(h_{x_d}^2),

where N=T/kN=T/k is the number of time steps. The result would extend the corresponding two-dimensional mean-square error expansion to dimensions d3d\geq 3; stability for sufficiently small correlations is expected, but the conditions for specific dimensions greater than two are not established in the source.

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Primary source

Christoph Reisinger and Zhenru Wang, “Analysis of sparse grid multilevel estimators for multi-dimensional Zakai equations”, arXiv:1904.08334 (2019).

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