Non-Gibrat’s law in the middle scale region
نویسندگان
چکیده
By using numerical simulation, we confirm that Takayasu–Sato–Takayasu (TST) model which leads Pareto’s law satisfies the detailed balance under Gibrat’s law. In the simulation, we take an exponential tent-shaped function as the growth rate distribution. We also numerically confirm the reflection law equivalent to the equation which gives the Pareto index μ in TST model. Moreover, we extend the model modifying the stochastic coefficient under a Non-Gibrat’s law. In this model, the detailed balance is also numerically observed. The resultant pdf is power-law in the large scale Gibrat’s law region, and is the log-normal distribution in the middle scale Non-Gibrat’s one. These are accurately confirmed in the numerical simulation. PACS code : 89.65.Gh
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