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 Boolean multiplicative convolution and Cauchy-Stieltjes kernel families Bull. Korean Math. Soc. 2021 Vol. 58, No. 2, 515-526 https://doi.org/10.4134/BKMS.b200380Published online December 28, 2020Printed March 31, 2021 Raouf Fakhfakh Sfax University Abstract : Denote by $\mathcal{M}_+$ the set of probability measures supported on $\mathbb{R}_+$. Suppose $V_{\nu}$ is the variance function of the \CSK family ${\mathcal{K}_{-}}(\nu)$ generated by a non degenerate probability measure $\nu\in\mathcal{M}_+$. We determine the formula for variance function under boolean multiplicative convolution power. This formula is used to identify the relation between variance functions under the map $\nu\mapsto\mathbb{M}_t(\nu)=\left(\nu^{\boxtimes (t+1)}\right)^{\utimes\frac{1}{t+1}}$ from $\mathcal{M}_+$ onto itself. Keywords : Variance function, Cauchy-Stieltjes kernel, boolean multiplicative convolution MSC numbers : 60E10, 46L54 Downloads: Full-text PDF   Full-text HTML