Gaussian estimates for spatially inhomogeneous random walks on {Z}^d
classification
🧮 math.PR
keywords
estimatesgaussianinhomogeneousmathbfrandomspatiallyadmitscorresponding
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It is shown in this paper that the transition kernel corresponding to a spatially inhomogeneous random walk on ${\mathbf{Z}}^d$ admits upper and lower Gaussian estimates.
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