%0 Journal Article %T Large deviations for Markov processes with resetting %A Janusz M. Meylahn %A Sanjib Sabhapandit %A Hugo Touchette %J Physics %D 2015 %I arXiv %X Markov processes restarted or reset at random times to a fixed state or region in space have been actively studied recently in connection with random searches, foraging, and population dynamics. Here we study the large deviations of time-additive functions or observables of Markov processes with resetting. By deriving a renewal formula linking generating functions with and without resetting we are able to obtain the rate function of such observables, characterizing the likelihood of their fluctuations in the long-time limit. We consider as an illustration the large deviations of the area of the Ornstein-Uhlenbeck process with resetting. Other applications involving diffusions, random walks, and jump processes with resetting or catastrophes are discussed. %U http://arxiv.org/abs/1510.02431v2