In the strong mode-coupling regime, the model for mode-dependent gains and losses (collectively referred as MDL) of a multimode fiber is extended to the region with large MDL. The MDL is found to have the same statistical properties as the eigenvalues of the sum of two matrices. The first matrix is a random Gaussian matrix with its standard deviation proportional to the accumulated MDL. The other matrix is a deterministic matrix with uniform eigenvalues proportional to the square of the accumulated MDL. The results are analytically correct for fibers with two or very large number of modes, and also numerically verified for multimode fibers with other number of modes.
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