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Matrix

Algebra

A rectangular array of numbers or other entries, together with the rules of arithmetic that combine such arrays. James Joseph Sylvester coined the word matrix in 1850, in a paper titled A New Class of Theorems, describing it as an oblong arrangement of terms out of which various determinants can be produced from the square arrays it contains. Arthur Cayley gave the concept its formal algebra in A Memoir on the Theory of Matrices, read to the Royal Society in January 1858, defining matrix addition, multiplication, scalar multiplication and inverses, and demonstrating for two-by-two matrices what is now called the Cayley-Hamilton theorem. The underlying practice of solving systems of linear equations by systematic elimination is far older still, appearing in the Chinese text Nine Chapters on the Mathematical Art around 200 BC, and Carl Friedrich Gauss used the method methodically, arranging coefficients much as a matrix would, while computing the orbit of the asteroid Pallas between 1803 and 1809, decades before the matrix itself was named. John von Neumann later put matrices to work representing the payoffs of a game in Theory of Games and Economic Behavior, written with Oskar Morgenstern in 1944.

Facts
Origin Year
1858 1
1858 marks Cayley's Memoir on the Theory of Matrices, the first formal algebra of matrices as mathematical objects in their own right; Sylvester's naming of the matrix in 1850 and Gauss's earlier, pre-matrix use of systematic elimination (1803 to 1809) are both noted in the description.
Connections

Associated With

Source MacTutor History of Mathematics Archive
Source MacTutor History of Mathematics Archive
Determinant, Concepts

The determinant is a function computed from the entries of a square matrix, so its subject is the matrix concept itself.

Additional Source Determinant (Wikipedia)Lead section

The linear transformation an eigenvector is defined against is standardly represented by a matrix, and eigenvalues are computed from a matrix's characteristic polynomial.

Additional Source Eigenvalues and Eigenvectors (Wikipedia)Lead section
John von Neumann, Mathematicians

Theory of Games and Economic Behavior (1944) represents the payoffs of a game as a matrix, a standard term used throughout that book.

Source von Neumann and Morgenstern, Theory of Games and Economic Behavior (1944)John von Neumann and Oskar Morgenstern
Additional Source MacTutor History of Mathematics Archivehttps://mathshistory.st-andrews.ac.uk/Biographies/Von_Neumann/

In Branch

Source Linear Algebra (Wikipedia)
Sources
1. MacTutor History of Mathematics Archive
University of St Andrews, School of Mathematics and Statistics
  • https://mathshistory.st-andrews.ac.uk/HistTopics/Matrices_and_determinants/
    The first to use the term matrix was Sylvester in 1850. Sylvester defined a matrix to be an oblong arrangement of terms.
  • https://mathshistory.st-andrews.ac.uk/Biographies/Cayley/
    Cayley's introductory paper in matrix theory was written in French and published in a German periodical. He introduces, although quite sketchily, the ideas of inverse matrix and of matrix multiplication.
  • Associated With: John von Neumann, https://mathshistory.st-andrews.ac.uk/Biographies/Von_Neumann/
    In game theory von Neumann proved the minimax theorem. He gradually expanded his work in game theory, and with co-author Oskar Morgenstern, he wrote the classic text Theory of Games and Economic Behaviour (1944).
View the Source
von Neumann and Morgenstern, Theory of Games and Economic Behavior (1944)
John von Neumann and Oskar Morgenstern, Princeton University Press, 1944Associated With: John von Neumann
Linear Algebra (Wikipedia)
WikipediaIn Branch: Linear Algebra, lead paragraph
Quote, In Branch: Linear Algebra, lead paragraph
Linear algebra is the branch of mathematics concerning linear equations such as a1x1+...+anxn=b, linear maps ..., and their representations in vector spaces and through matrices.
View the Source
Eigenvalues and Eigenvectors (Wikipedia)
Wikimedia FoundationAssociated With: Eigenvalues and Eigenvectors, Lead section
Quote, Associated With: Eigenvalues and Eigenvectors, Lead section
In linear algebra, an eigenvector ( EYE-gən-) or characteristic vector is a (nonzero) vector that has its direction unchanged (or reversed) by a given linear transformation.
View the Source
Determinant (Wikipedia)
Wikimedia FoundationAssociated With: Determinant, Lead section
Quote, Associated With: Determinant, Lead section
the determinant is a scalar-valued function of the entries of a square matrix that has many properties which make it fundamental for the study of square matrices and linear transformations represented by them
View the Source

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