square matrix

Let A be a square matrix (not necessarily positive or even real).

Thus for example only a square matrix can be idempotent.

The determinant takes a square matrix and returns a number.

This definition can be applied in particular to square matrices.

The entries a form the main diagonal of a square matrix.

Any two square matrices of the same order can be added and multiplied.

This example shows that the Jacobian need not be a square matrix.

However, in the remainder of this article we will consider only square matrices.

A row or square matrix of panels share a control module.

Let be a square matrix whose columns are those eigenvectors, in any order.

When the blocks are square matrices of the same order further formulas hold.

Let A be a symmetric square matrix of order n with real entries.

It is required to solve The square matrix has been used in Example 2.3.2.1.

The square matrix A represents the effect of multiplication by x in the given basis.

In fact, let A be a square matrix.

This defines a partial ordering on the set of all square matrices.

In other words, any square matrix which takes the form is a hollow matrix.

Not every square matrix is similar to a companion matrix.

Similarity is an equivalence relation on the space of square matrices.

At one end, deep in the body, is the electronic "fingertip," actually a square matrix of 64 pressure sensors.

The following mathematical statements hold when is a full rank square matrix:

In linear algebra, the determinant is a value associated with a square matrix.

A dyadic tensor has order two, and may be represented as a square matrix.

This variance is also a positive semi-definite square matrix.

It is of particular importance in square matrices.