%0 Journal Article %1 mandelbrot1974population %A Mandelbrot, Benoit %B Journal of Applied Probability %D 1974 %I Cambridge University Press %K Luria-Delbruck branching_processes frequency_spectrum site_frequency_spectrum stable_distributions %N 3 %P 437-444 %R DOI: 10.2307/3212688 %T A population birth-and-mutation process, I: explicit distributions for the number of mutants in an old culture of bacteria %U https://www.cambridge.org/core/article/population-birthandmutation-process-i-explicit-distributions-for-the-number-of-mutants-in-an-old-culture-of-bacteria/377151AD5375C25124D12C9448175413 %V 11 %X Luria and Delbrück (1943) have observed that, in old cultures of bacteria that have mutated at random, the distribution of the number of mutants is extremely long-tailed. In this note, this distribution will be derived (for the first time) exactly and explicitly. The rates of mutation will be allowed to be either positive or infinitesimal, and the rate of growth for mutants will be allowed to be either equal, greater or smaller than for non-mutants. Under the realistic limit condition of a very low mutation rate, the number of mutants is shown to be a stable-Lévy (sometimes called “Pareto Lévy”) random variable, of maximum skewness ß, whose exponent α is essentially the ratio of the growth rates of non-mutants and of mutants. Thus, the probability of the number of mutants exceeding the very large value m is proportional to m–α–1 (a behavior sometimes referred to as “asymptotically Paretian” or “hyperbolic”). The unequal growth rate cases α ≠ 1 are solved for the first time. In the α = 1 case, a result of Lea and Coulson is rederived, interpreted, and generalized. Various paradoxes involving divergent moments that were encountered in earlier approaches are either absent or fully explainable.The mathematical techniques used being standard, they will not be described in detail, so this note will be primarily a collection of results. However, the justification for deriving them lies in their use in biology, and the mathematically unexperienced biologists may be unfamiliar with the tools used. They may wish for more details of calculations, more explanations and Figures. To satisfy their needs, a report available from the author upon request has been prepared. It will be referred to as Part II.

@article{mandelbrot1974population, abstract = {Luria and Delbrück (1943) have observed that, in old cultures of bacteria that have mutated at random, the distribution of the number of mutants is extremely long-tailed. In this note, this distribution will be derived (for the first time) exactly and explicitly. The rates of mutation will be allowed to be either positive or infinitesimal, and the rate of growth for mutants will be allowed to be either equal, greater or smaller than for non-mutants. Under the realistic limit condition of a very low mutation rate, the number of mutants is shown to be a stable-Lévy (sometimes called “Pareto Lévy”) random variable, of maximum skewness ß, whose exponent α is essentially the ratio of the growth rates of non-mutants and of mutants. Thus, the probability of the number of mutants exceeding the very large value m is proportional to m–α–1 (a behavior sometimes referred to as “asymptotically Paretian” or “hyperbolic”). The unequal growth rate cases α ≠ 1 are solved for the first time. In the α = 1 case, a result of Lea and Coulson is rederived, interpreted, and generalized. Various paradoxes involving divergent moments that were encountered in earlier approaches are either absent or fully explainable.The mathematical techniques used being standard, they will not be described in detail, so this note will be primarily a collection of results. However, the justification for deriving them lies in their use in biology, and the mathematically unexperienced biologists may be unfamiliar with the tools used. They may wish for more details of calculations, more explanations and Figures. To satisfy their needs, a report available from the author upon request has been prepared. It will be referred to as Part II.}, added-at = {2018-06-15T20:12:36.000+0200}, author = {Mandelbrot, Benoit}, biburl = {https://www.bibsonomy.org/bibtex/2dae58b005eab7101c8b5bfa014cc5539/peter.ralph}, booktitle = {Journal of Applied Probability}, doi = {DOI: 10.2307/3212688}, interhash = {a3f79a083cc60ece4c5c609661ffabf6}, intrahash = {dae58b005eab7101c8b5bfa014cc5539}, issn = {00219002}, keywords = {Luria-Delbruck branching_processes frequency_spectrum site_frequency_spectrum stable_distributions}, number = 3, pages = {437-444}, publisher = {Cambridge University Press}, timestamp = {2018-06-15T20:12:36.000+0200}, title = {A population birth-and-mutation process, {I}: explicit distributions for the number of mutants in an old culture of bacteria}, url = {https://www.cambridge.org/core/article/population-birthandmutation-process-i-explicit-distributions-for-the-number-of-mutants-in-an-old-culture-of-bacteria/377151AD5375C25124D12C9448175413}, volume = 11, year = 1974 }