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Titlebook: Number Theory; New York Seminar 200 David Chudnovsky,Gregory Chudnovsky,Melvyn Nathans Book 2004 Springer-Verlag New York, Inc. 2004 Rieman

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Harvey Cohnstrictly satis ed. As long as the volatility of rms’ sizes increase asy- totically proportionally to the size of the rm and that the instantaneous growth rate increases not faster than the volatility, the distribution of rm sizes follows Zipf’s law. This suggests that the occurrence of very large rm
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utions of cities and of rms (with additional examples found in many other scienti c elds) are power laws with a speci c exponent: the number of cities and rms with a size greater thanS is inversely proportional toS. Most explanations start with Gibrat’s law of proportional growth but need to incorpo
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Matthias Beck,Sinai Robinsutions of cities and of rms (with additional examples found in many other scienti c elds) are power laws with a speci c exponent: the number of cities and rms with a size greater thanS is inversely proportional toS. Most explanations start with Gibrat’s law of proportional growth but need to incorpo
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