Fractional Gaussian noise-induced evolution and transition in anti-tumor model

Noise induced evolution and transition in an anti-tumor model under immune surveillance are investigated in the presence of additive fractional Gaussian noises. Unlike white Gaussian noise, the Hurst exponent of noise plays a constructive role in the evolution. The noise can also induce the transition. As the noise intensity increases, the noises induced the transition from two states to one state for antipersistent case, whereas the curve always presents a bimodal structure and only the heights of their peaks changed for the persistent case.