论文标题
死亡率方程式是人口老龄化的动态
Mortality equation characterizes the dynamics of an aging population
论文作者
论文摘要
衰老被认为是遗传信息如何处理的固有分解的结果。但是安装的实验证据表明，衰老可以放慢。为了帮助解决这个谜团，我得出了一个死亡方程，该方程表征了给定最大年龄的不断发展的人群的动态。值得注意的是，虽然控制进化的特征值的频谱取决于适应性，但它们如何随着年龄而变化，与适应性无关。这使得确定编程衰老可以提供进化益处的条件。
Aging is thought to be a consequence of intrinsic breakdowns in how genetic information is processed. But mounting experimental evidence suggests that aging can be slowed. To help resolve this mystery, I derive a mortality equation which characterizes the dynamics of an evolving population with a given maximum age. Remarkably, while the spectrum of eigenvalues that govern the evolution depends on the fitness, how they change with the maximum age is independent of fitness. This makes it possible to establish the conditions under which programmed aging can provide an evolutionary benefit.
