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Heat kernel estimates for symmetric jump processes with general mixed polynomial growths

Panki Kim, Seoul National University
Monday, April 16, 2018 - 2:30pm to 3:30pm
SMI 304
In this talk, we discuss transition densities of pure jump symmetric Markov processes in \$R^d\$, whose jumping kernels are comparable to radially symmetric functions with general mixed polynomial growths. Under some mild assumptions on their scale functions, we establish sharp two-sided estimates  of transition densities (heat kernel estimates) for such processes. This is a joint work with Joohak Bae, Jaehoon Kang and Jaehun Lee. 


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