A biological system consists of a variety of polymers that are synthesized from monomers, by catalysis that exists only for some long polymers. It is important to elucidate the emergence and sustenance of such autocatalytic polymerization. We analyze here the stochastic polymerization reaction dynamics, to investigate the transition time from a state with almost no catalysts to a state with sufficient catalysts. We found an optimal volume that minimizes this transition time, which agrees with the inverse of the catalyst concentration at the unstable fixed point that separates the two states, as is theoretically explained. Relevance to the origin of life is also discussed.All life systems known so far consist of a wide variety of polymers that catalyze each other and are replicated through catalytic reactions. In cells, for instance, ribosomes whose main component are RNAs that synthesize a variety of protein species, such as polymerases, that catalyze RNA replication [1]. When considering the origins of life, it is therefore necessary to understand the emergence of a primordial polymer system that allows for self-replicating catalytic reactions, in which resource monomers such as amino acids or nucleotides, which are the building blocks of polymers, are supplied [2,3]. It is also important to understand the timescale of the synthesis of catalytic polymers by polymerizing reactions of the monomers.In this scenario, a polymer has to be long enough to function as a catalyst. In general, without catalysts, a chemical reaction to synthesize such a long polymer is extremely slow, while polymers, even if they are synthesized, are constantly degraded or diffused out. The synthesis can overcome possible degradation or diffusion only under catalysts (enzyme for protein; ribozyme for RNA) that accelerate the reaction by 10 7 ∼ 10 19 [4]. To sustain such a catalytically active state, a certain amount of catalysts is needed, which in turn is only synthesized from catalysts. Hence, the reaction system with autocatalytic polymers is expected to exhibit bi-stability between the inactive state with almost no catalysts and the active state with abundant catalysts that reproduce themselves. In fact, the importance of the transition from the inactive to active state for the emergence of a primitive replicating system has already been pointed out in the seminal work by Dyson [5], while catalytic reaction networks have also been extensively studied [6][7][8][9][10][11]. Here, we study this problem by considering a simple autocatalytic polymerization process, with an aim to obtain the time required for the transition from the inactive to active states.The existence of bistable states and the transition to a catalytically active state has been discussed recently [12,13]. In these studies, the rate equation of the concentrations of the monomers and polymers were often adopted. However, when considering the emergence of catalytic polymers, the number of molecules with negligible fluctuations may not be so large. These fluctuations enable...