Wild-type (WT) viruses are the infectious forms of viruses mostly found in nature. They represent the standard form of the virus, capable of completing their full replication cycle within susceptible host cells. Viruses are known to replicate near the so-called ’critical mutation rate’, producing a cloud of mutations, including Defective Viral Genomes (DVG) as an unavoidable by-product of their error-prone replication. Defective Interfering (DI) particles are a subgroup of DVG, unable to self-replicating due to the lack of genomic fragments encoding the replication protein, and have been shown to interfere with the replication of the WT virus. Along with DI, other genetic elements known as Satellite (SAT) viruses, that are genetically distinct from the WT virus, can co-infect cells with the WT viruses and take advantage of viral proteins for their own benefit. The presence of the SAT viruses have effects that range from reduced symptom severity to enhanced virulence. The analysis of the population evolutionary dynamics involving these genetic elements is currently a highly active and promising area of research since engineered versions of DVG have been shown to act as antiviral agents. While interactions between WT viruses and DI have been widely studied, systems involving all three genetic elements remain less explored, despite their relevance in plant RNA viruses and biomedically relevant pathosystems like hepatitis B virus and its d SAT virus. This project studies the tripartite system under an Evolutionary Game Theory approach. We first analyse an existing model of cooperative behaviour among WT viruses, focusing on the emergence of defection strategies. Building on this, we introduce a new model that incorporates both DI and SAT viruses. Our analysis identifies a region in the strategy space where the SAT virus can persist in an evolutionarily stable manner. These findings offer a theoretical foundation for understanding the complex interaction between these viral elements and suggest potential directions for future research.