In mathematics, a matrix of ones or all-ones matrix is a matrix where every entry is equal to one. Examples of standard notation are given below:

$J_{2}={\begin{pmatrix}1&1\\1&1\end{pmatrix));\quad J_{3}={\begin{pmatrix}1&1&1\\1&1&1\\1&1&1\end{pmatrix));\quad J_{2,5}={\begin{pmatrix}1&1&1&1&1\\1&1&1&1&1\end{pmatrix));\quad J_{1,2}={\begin{pmatrix}1&1\end{pmatrix)).\quad$ Some sources call the all-ones matrix the unit matrix, but that term may also refer to the identity matrix, a different type of matrix.

A vector of ones or all-ones vector is matrix of ones having row or column form; it should not be confused with unit vectors.

## Properties

For an n × n matrix of ones J, the following properties hold:

• The trace of J equals n, and the determinant equals 0 for n ≥ 2, but equals 1 if n = 1.[a]
• The characteristic polynomial of J is $(x-n)x^{n-1)$ .
• The minimal polynomial of J is $x^{2}-nx$ .
• The rank of J is 1 and the eigenvalues are n with multiplicity 1 and 0 with multiplicity n − 1.
• $J^{k}=n^{k-1}J$ for $k=1,2,\ldots .$ • J is the neutral element of the Hadamard product.

When J is considered as a matrix over the real numbers, the following additional properties hold:

• J is positive semi-definite matrix.
• The matrix ${\tfrac {1}{n))J$ is idempotent.
• The matrix exponential of J is $\exp(J)=I+{\frac {e^{n}-1}{n))J.$ ## Applications

The all-ones matrix arises in the mathematical field of combinatorics, particularly involving the application of algebraic methods to graph theory. For example, if A is the adjacency matrix of an n-vertex undirected graph G, and J is the all-ones matrix of the same dimension, then G is a regular graph if and only if AJ = JA. As a second example, the matrix appears in some linear-algebraic proofs of Cayley's formula, which gives the number of spanning trees of a complete graph, using the matrix tree theorem.