Information-Theoretic Bounds on Production in Replicator Systems
A theory quantifying how autocatalytic replicators in a flow reactor under fluctuating environments convert information into growth. Replicator production is decomposed into information-theoretic terms (environmental uncertainty, side information, distribution mismatch), yielding the optimal concentration-preparation strategy and a universal bound on productivity gain that parallels Kelly gambling and evolutionary substitutional load, with internal memory shown to help in temporally correlated environments.
2501.00396
This biophysics paper studies minimal replicator systems that use information functionally. For a population of autocatalytic replicators in a flow reactor subject to fluctuating environments, the au…