The matrix function e^(tA+B) is representable as the Laplace transform of a matrix measure
classification
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lambdamatrixmeasurefunctionhermitianmatriceslaplacerepresentable
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Given a pair $A,B$ of matrices of size $n\times n$, we consider the matrix function $e^{At+B}$ of the variable $t\in\mathbb{C}$. If the matrix $A$ is Hermitian, the matrix function $e^{At+B}$ is representable as the bilateral Laplace transform of a matrix-valued measure $M(d\lambda)$ compactly supported on the real axis: $$e^{At+B}=\int{}e^{\lambda t}\,M(d\lambda).$$ The values of the measure $M(d\lambda)$ are matrices of size $n\times n$, the support of this measure is contained in the convex hull of the spectrum of $A$. If the matrix $B$ is also Hermitian, then the values of the measure $M(d\lambda)$ are Hermitian matrices. The measure M(d{\lambda}) is not necessarily non-negative.
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