In traditional years, fully indecomposable matrices have played an vital part in various research topics. For example, they have been used in establishing a necessary condition for a matrix to have a positive inverse also, in the case of simultaneously row and column scaling sub-ordinate to the unitarily invariant norms, the minimal condition number diagonalizable, sub-stochastic matrices , Kronecker products is achieved for fully indecomposable matrices. In the existence of diagonal matrices D1 and D2 , with strictly positive diagonal elements, such that D1 AD2 is quaternion doubly stochastic, is established for an nXn non-negative fully indecomposable matrix A. In a related scaling for fully indecomposable non-negative rectangular matrices is also discussed.
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