Abstract

We study a modified record process where the kk'th record in a series of independent and identically distributed random variables is defined recursively through the condition Yk>Yk−1−δk−1Y_k > Y_{k-1} - δ_{k-1} with a deterministic sequence δk>0δ_k > 0 called the handicap. For constant δk≡δδ_k \equiv δ and exponentially distributed random variables it has been shown in previous work that the process displays a phase transition as a function of δδ between a normal phase where the mean record value increases indefinitely and a stationary phase where the mean record value remains bounded and a finite fraction of all entries are records (Park \textit{et al} 2015 {\it Phys. Rev.} E \textbf{91} 042707). Here we explore the behavior for general probability distributions and decreasing and increasing sequences δkδ_k, focusing in particular on the case when δkδ_k matches the typical spacing between subsequent records in the underlying simple record process without handicap. We find that a continuous phase transition occurs only in the exponential case, but a novel kind of first order transition emerges when δkδ_k is increasing. The problem is partly motivated by the dynamics of evolutionary adaptation in biological fitness landscapes, where δkδ_k corresponds to the change of the deterministic fitness component after kk mutational steps. The results for the record process are used to compute the mean number of steps that a population performs in such a landscape before being trapped at a local fitness maximum.

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