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Mellin Transform of the Limit Lognormal Distribution

机译:极限对数正态分布的Mellin变换

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The technique of intermittency expansions is applied to derive an exact formal power series representation for the Mellin transform of the probability distribution of the limit lognormal multifractal process. The negative integral moments are computed by a novel product formula of Selberg type. The power series is summed in general by means of its small intermittency asymptotic. The resulting integral formula for the Mellin transform is conjectured to be valid at all levels of intermittency. The conjecture is verified partially by proving that the integral formula reproduces known results for the positive and negative integral moments of the limit lognormal distribution and gives a valid characteristic function of the Lévy-Khinchine type for the logarithm of the distribution. The moment problem for the logarithm of the distribution is shown to be determinate, whereas the moment problems for the distribution and its reciprocal are shown to be indeterminate. The conjecture is used to represent the Mellin transform as an infinite product of gamma factors generalizing Selberg’s finite product. The conjectured probability density functions of the limit lognormal distribution and its logarithm are computed numerically by the inverse Fourier transform. Communicated by S. Zelditch
机译:应用间断展开技术来导出对数正态多重分形过程的概率分布的梅林变换的精确形式幂级数表示。负积分矩由Selberg类型的新乘积公式计算。幂级数通常通过其小间歇性渐近进行求和。据推测,Mellin变换所得的积分公式在所有间歇性级别上均有效。通过证明积分公式对极限对数正态分布的正和负积分矩重现已知结果,并对分布的对数给出有效的Lévy-Khinchine型特征函数,可以部分验证该猜想。分布对数的矩问题表明是确定的,而分布及其倒数的矩问题表明是不确定的。该猜想用于将Mellin变换表示为将Selberg有限积推广的伽马因子的无限积。极限对数正态分布及其对数的推测概率密度函数通过傅里叶逆变换进行数值计算。由S.Zelditch沟通

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