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Computation of Growth Rates of Random Sequences with Multi-step Memory

机译:多步记忆法计算随机序列的增长率

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摘要

We extend the generating function approach to the computation of growth rate of random Fibonacci sequences with long memory. Functional iteration equations are obtained and its general form is conjectured and proved, based on which an asymptotic representation of the growth rate is obtained. The validity of both the derived and the conjectured formula are verified upon comparison with Monte Carlo simulation. A numerical scheme of the functional iteration is designed and implemented successfully.
机译:我们将生成函数方法扩展到计算具有长记忆的随机斐波那契序列的增长率。得到了函数迭代方程,并猜想了它的一般形式,并证明了增长速率的渐近表示。通过与蒙特卡洛模拟进行比较,验证了推导公式和猜想公式的有效性。成功设计并实现了函数迭代的数值方案。

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