Abstract
Let (Γ,μ) be an infinite graph endowed with a reversible Markov kernel p and let P be the corresponding operator. We also consider the associated discrete gradient ∇. We assume that μ is doubling, a uniform lower bound for p(x,y) when p(x,y)>0, and gaussian upper estimates for the iterates of p. Under these conditions (and in some cases assuming further some Poincaré inequality) we study the comparability of (I−P)1/2 f and ∇f in Lebesgue spaces with Muckenhoupt weights. Also, we establish weighted norm inequalities for a Littlewood–Paley–Stein square function, its formal adjoint, and commutators of the Riesz transform with bounded mean oscillation functions.
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Communicated by Loukas Grafakos.
The second author was supported by MICINN Grant MTM2010-16518, and by CSIC PIE 200850I015.
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Badr, N., Martell, J.M. Weighted Norm Inequalities on Graphs. J Geom Anal 22, 1173–1210 (2012). https://doi.org/10.1007/s12220-011-9233-9
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DOI: https://doi.org/10.1007/s12220-011-9233-9
Keywords
- Graphs
- Discrete Laplacian
- Riesz transforms
- Square functions
- Muckenhoupt weights
- Spaces of homogeneous type