Q:
# What is nilpotent matrix?

A nilpotent matrix is a square matrix with eigenvalues that are equal to zero. In general terms, this means that N ^ K = 0, where N is the square matrix, K is a positive integer (or whole number), and K is the degree of N.

Continue Reading
Credit:
franckreporter
E+
Getty Images

Nilpotent matrices are used by mathematicians to explain what happens when a matrix or another type of equation equals zero when it is raised to a power. The word Nilpotent comes from the Latin root "potens," which means "possessing power," and "nil," which means "nothing."

Nilpotent matrices can be matrices that include zeros directly in the matrix, or they can be matrices that have no actual zeros in them. In fact, most nilpotent matrices have no zeros in the matrix itself. A matrix is nilpotent only if it squares to zero.

Consider a matrix with three columns and three rows as an example. The first row contains 5, 15 and 10. The second has -3, -9 and -6. The last row has 2, 6 and 4. Despite no zeros being present in the matrix, the matrix is still nilpotent, because these numbers square to zero. In addition, triangular matrices with zeros through main diagonals are also considered nilpotent.

Learn more about Algebra-
Q:
## How do you determine how many entries are in a matrix?

A: To determine the number of entries in a matrix, count the number of elements inside the brackets. For example, a matrix having the elements -5, 2, 10, 4, 1... Full Answer >Filed Under: -
Q:
## What is a 3x3 multiplication matrix?

A: A 3x3 matrix is a matrix that consists of three rows and three columns. Matrices are an array of numbers that can be added, subtracted and multiplied.... Full Answer >Filed Under: -
Q:
## What is a singular matrix?

A: A singular matrix, also called degenerate matrix, is a square matrix whose determinant is zero and that doesn't have a matrix inverse. It's rare to come ac... Full Answer >Filed Under: -
Q:
## How do you multiply matrices?

A: To multiply matrices, or arrays of numbers, multiply the like elements in each matrix. Before they can be multiplied, the two matrices have to have the sam... Full Answer >Filed Under: