**数学与系统科学研究院**

**计算数学所学术报告会**

**报告人：**
Prof. Liqun Qi

Hong Kong Polytechnic University

**报告题目：**

Eigenvalues of Tensors and Their Applications

**报告摘要：**

A tensor is represented by a supermatrix under a co-ordininate system.

Motivated by the positive definiteness issue in automatic control,
I defined eigenvalues and eigenvectors of a real completely symmetric
supermatrix, and explored their practical applications
in judging positive definiteness of an even degree multivariate
form.
However, the tensor studied in nonlinear continuum mechanics and physics
are physical quantities which are invariant under co-ordinate system
changes.

In particular, the coefficients of the characteristic polynomial of a
second order tensor are principal invariants of that tensor.
Motivated by this, Qi, Rogers and Schief defined E-eigenvalues and
E-eigenvectors for tensors. The E-eigenvalues of a tensor are the
same as the E-eigenvalues of its representation supermatrix in an
orthonormal co-ordinate system. Based upon the resultant theory, we define the
E-characteristic polynomial of an $m$th order $n$-dimensional tensor.
A complex number is an E-eigenvalue of the tensor if and only if it is a
root of the E-characteristic polynomial. We show that the coefficients of the
E-characteristic polynomial are invariants of the tensor. Let $d = d(m, n)$
be the number of such invariants. We show that $d(1, n) = 1, d(2, n) = n,
d(m, 2) = m$ and $d(m, n) \le m^{n-1} + \cdots + m$ for $m, n \ge 3$.''

**报告时间：**
2005年11月7日(周一) 上午10:00--11:00

**报告地点：**科技综合楼三层311报告厅

欢迎大家参加!