Genetic code, attributive mappings and stochastic matrices.
In this paper we construct three primitive mappings based on three kinds of genetic attribute equivalences. We then apply the mappings and basic addition operation to the universal genetic code to generate three square matrices. We show that these square matrices are stochastic in nature. They demonstrate some fractal similarity properties and resemble the similar properties to the original stochastic matrices.
Division of Mathematics, Science and Technology, Nova Southeastern University, Ft. Lauderdale, FL 33314, USA. hem@nova.edu
Matthew
M
He
D000465:Algorithms; D004247:DNA / Q000235:genetics*; D017709:Fractals; D005815:Genetic Code / Q000235:genetics*; D008957:Models, Genetic; D012333:RNA, Messenger / Q000235:genetics*; D013269:Stochastic Processes
D012333:RNA, Messenger; D004247:DNA