Mean Exit Time and Escape Probability for a Tumor Growth System under Non-Gaussian Noise

Effects of non-Gaussian $α-$stable Lévy noise on the Gompertz tumor growth model are quantified by considering the mean exit time and escape probability of the cancer cell density from inside a safe or benign domain. The mean exit time and escape probability problems are formulated in a differential-integral equation with a fractional Laplacian operator. Numerical simulations are conducted to evaluate how the mean exit time and escape probability vary or bifurcates when $α$ changes. Some bifurcation phenomena are observed and their impacts are discussed.

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