P-matrix

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In mathematics, a P-matrix is a complex square matrix with every principal minor > 0. A closely related class is that of P_0-matrices, which are the closure of the class of P-matrices, with every principal minor \geq 0.

Spectra of P-matrices

By a theorem of Kellogg,[1][2] the eigenvalues of P- and P_0- matrices are bounded away from a wedge about the negative real axis as follows:

If \{u_1,...,u_n\} are the eigenvalues of an n-dimensional P-matrix, then
|arg(u_i)| < \pi - \frac{\pi}{n}, i = 1,...,n
If \{u_1,...,u_n\}, u_i \neq 0, i = 1,...,n are the eigenvalues of an n-dimensional P_0-matrix, then
|arg(u_i)| \leq \pi - \frac{\pi}{n}, i = 1,...,n

Remarks

The class of nonsingular M-matrices is a subset of the class of P-matrices. More precisely, all matrices that are both P-matrices and Z-matrices are nonsingular M-matrices. The class of sufficient matrices is another generalization of P-matrices.[3]

The linear complementarity problem LCP(M,q) has a unique solution for every vector q if and only if M is a P-matrix.[4]

If the Jacobian of a function is a P-matrix, then the function is injective on any rectangular region of \mathbb{R}^n.[5]

A related class of interest, particularly with reference to stability, is that of P^{(-)}-matrices, sometimes also referred to as N-P-matrices. A matrix A is a P^{(-)}-matrix if and only if (-A) is a P-matrix (similarly for P_0-matrices). Since \sigma(A) = -\sigma(-A), the eigenvalues of these matrices are bounded away from the positive real axis.

See also

Notes

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References

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  • David Gale and Hukukane Nikaido, The Jacobian matrix and global univalence of mappings, Math. Ann. 159:81-93 (1965) doi:10.1007/BF01360282
  • Li Fang, On the Spectra of P- and P_0-Matrices, Linear Algebra and its Applications 119:1-25 (1989)
  • R. B. Kellogg, On complex eigenvalues of M and P matrices, Numer. Math. 19:170-175 (1972)


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