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Abstract The free multiplicative Brownian motion$$b_{t}$$ is the large-Nlimit of the Brownian motion on$$\mathsf {GL}(N;\mathbb {C}),$$ in the sense of$$*$$ -distributions. The natural candidate for the large-Nlimit of the empirical distribution of eigenvalues is thus the Brown measure of$$b_{t}$$ . In previous work, the second and third authors showed that this Brown measure is supported in the closure of a region$$\Sigma _{t}$$ that appeared in the work of Biane. In the present paper, we compute the Brown measure completely. It has a continuous density$$W_{t}$$ on$$\overline{\Sigma }_{t},$$ which is strictly positive and real analytic on$$\Sigma _{t}$$ . This density has a simple form in polar coordinates:$$\begin{aligned} W_{t}(r,\theta )=\frac{1}{r^{2}}w_{t}(\theta ), \end{aligned}$$ where$$w_{t}$$ is an analytic function determined by the geometry of the region$$\Sigma _{t}$$ . We show also that the spectral measure of free unitary Brownian motion$$u_{t}$$ is a “shadow” of the Brown measure of$$b_{t}$$ , precisely mirroring the relationship between the circular and semicircular laws. We develop several new methods, based on stochastic differential equations and PDE, to prove these results.more » « less
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Cébron, Guillaume; Kemp, Todd (, Annales de l'Institut Henri Poincaré, Probabilités et Statistiques)
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Kemp, Todd; Zimmermann, David (, Annales Mathématiques Blaise Pascal)
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Driver, Bruce K.; Hall, Brian C.; Kemp, Todd (, Journal of functional analysis)null (Ed.)
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Hall, Brian C.; Kemp, Todd (, Advances in mathematics)
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