Mathematical analysis reveals sufficient criteria for continuous-state branching processes to descend from infinity, indicating almost sure convergence to strong stochastic solutions.
We study the phenomenon of coming down from infinity – that is, when the process starts from infinity and never returns to it – for continuous-state branching processes with generalized drift. We provide sufficient conditions on the drift term and the branching mechanism to ensure both non-explosion and coming down from infinity, without requir- ing the associated jump measure to have a finite first moment. Assuming the process comes down from infinity and the drift satisfies a one-sided Lipschitz condition, we show that, as the initial values tend to infinity, the process converges locally uniformly almost surely to the strong solution of a stochastic differential equation. The main techniques employed are comparison principles for solutions of stochastic equations and the method of Lyapunov functions, the latter being briefly reviewed in a broader setting.
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Félix Rebotier (2026) studied this question.
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