matrix of ones

{{Short description|Matrix with every entry equal to one}}

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In mathematics, a matrix of ones or all-ones matrix is a matrix with every entry equal to one.{{citation|title=Matrix Analysis|first1=Roger A.|last1=Horn|first2=Charles R.|last2=Johnson|author2-link= Charles Royal Johnson |publisher=Cambridge University Press|year= 2012|isbn=9780521839402|page=8|url=https://books.google.com/books?id=5I5AYeeh0JUC&pg=PA8|contribution=0.2.8 The all-ones matrix and vector}}. 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,{{MathWorld|title=Unit Matrix|urlname=UnitMatrix}} 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 {{math|n × n}} matrix of ones J, the following properties hold:

  • The trace of J equals n,{{citation|title=Algebraic Combinatorics: Walks, Trees, Tableaux, and More|publisher=Springer|year=2013|isbn=9781461469988|first=Richard P.|last=Stanley|authorlink=Richard P. Stanley|url=https://books.google.com/books?id=_Tc_AAAAQBAJ&pg=PA4|at=Lemma 1.4, p. 4}}. 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 {{math|n − 1}}.{{harvtxt|Stanley|2013}}; {{harvtxt|Horn|Johnson|2012}}, [https://books.google.com/books?id=5I5AYeeh0JUC&pg=PA65 p. 65].
  • J^k = n^{k-1} J for k = 1,2,\ldots .{{citation|title=Applied Multivariate Analysis|series=Springer texts in statistics|first=Neil H.|last=Timm|publisher=Springer|year=2002|isbn=9780387227719|page=30|url=https://books.google.com/books?id=vtiyg6fnnskC&pg=PA30}}.
  • J is the neutral element of the Hadamard product.{{citation|title=Introduction to Abstract Algebra|first=Jonathan D. H.|last=Smith|publisher=CRC Press|year=2011|isbn=9781420063721|page=77|url=https://books.google.com/books?id=PQUAQh04lrUC&pg=PA77}}.

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

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.{{citation|title=Algebraic Combinatorics|first=Chris|last=Godsil|authorlink= Chris Godsil |publisher=CRC Press|year=1993|isbn=9780412041310|url=https://books.google.com/books?id=eADtlNCkkIMC&pg=PA25|at=Lemma 4.1, p. 25}}. 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

| last = Knuth | first = Donald E. | author-link = Donald Knuth

| doi = 10.1016/S0021-9800(70)80032-1

| journal = Journal of Combinatorial Theory

| mr = 259000

| pages = 376–390

| title = Notes on central groupoids

| volume = 8

| year = 1970| issue = 4 }}

See also

References

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{{notelist}}

{{Matrix classes}}

Category:Matrices (mathematics)

Category:1 (number)

{{Linear-algebra-stub}}