The Perron-Frobenius Eigenvalue Theorem is a fundamental result in linear algebra that applies to non-negative matrices, which are matrices where all entries are greater than or equal to zero. This theorem states that if is a square, irreducible, non-negative matrix, then it has a unique largest eigenvalue, known as the Perron-Frobenius eigenvalue . Furthermore, this eigenvalue is positive, and there exists a corresponding positive eigenvector such that .
Key implications of this theorem include:
Overall, the Perron-Frobenius theorem provides critical insights into the behavior of systems modeled by non-negative matrices, ensuring stability and predictability in their dynamics.
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