A square matrix is a matrix that has an equal number of rows and columns. The order of a square matrix is defined as n × n, where n is the number of rows (or columns). |
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Trace(A) = Σ aᵢᵢ, where aᵢᵢ represents the elements on the leading diagonal of the matrix A. |
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True or False: A diagonal matrix is a square matrix where all elements outside the leading diagonal are zero. |
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A scalar matrix is a diagonal matrix in which all the elements in the leading diagonal are equal to the same scalar value K. |
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The identity matrix is a square matrix in which all the elements on the leading diagonal are 1 and all other elements are 0. It is denoted by Iₙ, where n is the order of the matrix. |
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The transpose of a matrix A, denoted A', is obtained by interchanging its rows and columns. Properties include: (A')' = A, (A + B)' = A' + B', and (kA)' = kA' for any scalar k. |
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A matrix A is called skew-symmetric if aᵢⱼ = -aⱼᵢ for all i and j, which implies that all diagonal elements are zero. |
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A non-singular matrix is a square matrix whose determinant is non-zero, indicating that it has an inverse. |
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The cofactor of an element aᵢⱼ is defined as Cᵢⱼ = (-1)^(i+j) Mᵢⱼ, where Mᵢⱼ is the minor obtained by deleting the ith row and jth column. |
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Cramer's Rule provides a way to solve a system of linear equations using determinants. It is applicable when the system has a unique solution, which occurs if the determinant of the coefficient matrix is non-zero. |
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The product of two matrices A (of size m × n) and B (of size n × p) is defined when the number of columns in A is equal to the number of rows in B. |
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False. In general, the multiplication of matrices is not commutative; that is, AB ≠ BA. |
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A null matrix, denoted by 0, is a matrix where all elements are zero. It acts as the additive identity in matrix addition. |
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