**On the determinant of a sum of matrices**

**Date: **
2008..10..18

**Event: **
RCTM08. Conference in honor of Robert C. Thompson

**Venue: **
Universidad de California, Santa Barbara. CA, USA

## Abstract

Often in mathematics it is useful to summarize a multivariate phenomenon with a single number. In fact, the determinant — which is denoted by *det* — is one of the simplest cases and many of its properties are very well-known. For instance, the determinant is a multiplicative function, i.e. \(\det(A B) = \det A \cdot \det B\), \(A, B \in M_n\), and it is a multilinear function, but it is not, in general, an additive function, i.e. \(\det(A + B) \not = \det A + \det B\).

Another interesting scalar function in the Matrix Analysis is the characteristic polynomial. In fact, given a square matrix A, the coefficients of its characteristic polynomial \( \chi_A(t):=\det(t I-A)\) are, up to a sign, the elementary symmetric functions associated with the eigenvalues of \(A\).

In this talk we present new expressions related to the elementary symmetric functions of sum of matrices.

## Download

Link | Size | Description |
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T7_RCTM08.pdf | 764 KB | Slides (PDF, 14 Slides) |