The higher-dimensional sparse-grid mixed-moment conjecture for Zakai equations

From papers

Let d3d\geq 3, let hxi=h02lih_{x_i}=h_0\cdot 2^{-l_i} for i=1,,di=1,\ldots,d, and let Δ=Δ1Δd\Delta=\Delta_1\otimes\cdots\otimes\Delta_d be the tensor product of the first-order difference operators in the coordinate directions. Write ΔPlN\Delta P_{\boldsymbol l}^N for the corresponding mixed difference of the discrete loss functional, and let N=T/kN=T/k. Assume the implicit finite-difference scheme is stable and

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 sparse-grid mixed-moment conjecture. The first and second moments satisfy

E[ΔPlN]=O(hx12hxd2),E[ΔPlN2]=O(hx14hxd4).\left|\mathbb{E}\left[\Delta P_{\boldsymbol l}^N\right]\right|=O(h_{x_1}^2\cdots h_{x_d}^2),\qquad \mathbb{E}\left[\left|\Delta P_{\boldsymbol l}^N\right|^2\right]=O(h_{x_1}^4\cdots h_{x_d}^4).

This conjecture supplies the mixed-difference estimates needed for the sparse combination method in higher dimensions; its validity depends on stability and on the corresponding higher-dimensional discretization analysis.

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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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