A singular matrix is a square matrix that does not have an inverse, meaning its determinant is equal to zero. This characteristic indicates that the matrix does not have full rank, and there exist non-trivial solutions to the homogeneous equation associated with it. In essence, singular matrices represent a loss of dimensionality in the context of linear transformations, leading to an inability to uniquely map inputs to outputs.
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