Effects of local mutations in quadratic iterations

We introduce mutations in replication systems, in which the intact copying mechanism is performed by discrete iterations of a complex quadratic map. More specifically, we consider a "correct" function acting on the complex plane (representing the space of genes to be copied). A "mutation" is a different ("erroneous") map acting on a complex locus of given radius r around a mutation focal point. The effect of the mutation is interpolated radially to eventually recover the original map when reaching an outer radius R. We call the resulting map a "mutated" map. In the theoretical framework of mutated iterations, we study how a mutation (replication error) affects the temporal evolution of the system, on both a local and global scale (from cell diffetentiation to tumor formation). We use the Julia set of the system to quantify simultaneously the long-term behavior of the entire space under mutated maps. We analyze how the position, timing and size of the mutation can alter the topology of the Julia set, hence the system's long-term evolution, its progression into disease, but also its ability to recover or heal. In the context of genetics, mutated iterations may help shed some light on aspects such as the importance of location, size and type of mutation when evaluating a system's prognosis, and of customizing intervention.