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Matrix of ones
Matrix with every entry equal to one
Matrix with every entry equal to one
In mathematics, a matrix of ones or all-ones matrix is a matrix with every entry equal to one. For example:
:J_2 = \begin{bmatrix} 1 & 1 \ 1 & 1 \end{bmatrix},\quad J_3 = \begin{bmatrix} 1 & 1 & 1 \ 1 & 1 & 1 \ 1 & 1 & 1 \end{bmatrix},\quad J_{2,5} = \begin{bmatrix} 1 & 1 & 1 & 1 & 1 \ 1 & 1 & 1 & 1 & 1 \end{bmatrix},\quad J_{1,2} = \begin{bmatrix} 1 & 1 \end{bmatrix}.\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.
- 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 \tfrac1n J is idempotent.
- The matrix exponential of J is \exp(\mu J)=I+\frac{e^{\mu 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.
The logical square roots of a matrix of ones, logical matrices whose square is a matrix of ones, can be used to characterize the central groupoids. Central groupoids are algebraic structures that obey the identity (a\cdot b)\cdot (b\cdot c)=b. Finite central groupoids have a square number of elements, and the corresponding logical matrices exist only for those dimensions.{{citation
References
References
- (2012). "Matrix Analysis". Cambridge University Press.
- "Unit Matrix".
- Stanley, Richard P.. (2013). "Algebraic Combinatorics: Walks, Trees, Tableaux, and More". Springer.
- {{harvtxt. Stanley. 2013; {{harvtxt. Horn. Johnson
- Timm, Neil H.. (2002). "Applied Multivariate Analysis". Springer.
- Smith, Jonathan D. H.. (2011). "Introduction to Abstract Algebra". CRC Press.
- Godsil, Chris. (1993). "Algebraic Combinatorics". CRC Press.
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