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Square matrix
In mathematics, a square matrix is a matrix with the same number of rows and columns. An ''n''-by-''n'' matrix is known as a square matrix of order ''n''. Any two square matrices of the same order can be added and multiplied.
Square matrices are often used to represent simple linear transformations, such as shearing or rotation. For example, if R is a square matrix representing a rotation (rotation matrix) and v is a column vector describing the position of a point in space, the product Rv yields another column vector describing the position of that point after that rotation. If v is a row vector, the same transformation can be obtained using vRT, where RT is the transpose of R.
==Main diagonal==
(詳細はmain diagonal of a square matrix. They lie on the imaginary line which runs from the top left corner to the bottom right corner of the matrix. For instance, the main diagonal of the 4-by-4 matrix above contains the elements ''a''11 = 9, ''a''22 = 11, ''a''33 = 4, ''a''''44'' = 10.
The diagonal of a square matrix from the top right to the bottom left corner is called ''antidiagonal'' or ''counterdiagonal''.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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