Matrix factorization of a polynomial

In mathematics, a matrix factorization of a polynomial is a technique for factoring irreducible polynomials with matrices. David Eisenbud proved that every multivariate real-valued polynomial p without linear terms can be written as AB = pI, where A and B are square matrices and I is the identity matrix.[1] Given the polynomial p, the matrices A and B can be found by elementary methods.[2]

Example

The polynomial x^2 + y^2 is irreducible over R[x,y], but can be written as

${\displaystyle \left[{\begin{array}{cc}x&-y\\y&x\end{array}}\right]\left[{\begin{array}{cc}x&y\\-y&x\end{array}}\right]=(x^{2}+y^{2})\left[{\begin{array}{cc}1&0\\0&1\end{array}}\right]}$

References

1. Eisenbud, David (1980-01-01). "Homological algebra on a complete intersection, with an application to group representations". Transactions of the American Mathematical Society. 260 (1): 35. doi:10.1090/S0002-9947-1980-0570778-7. ISSN 0002-9947.
2. Crisler, David; Diveris, Kosmas, Matrix Factorizations of Sums of Squares Polynomials (PDF)

External links

• A Mathematica implementation of an algorithm to matrix-factorize polynomials