dot product of a matrix
must have (m n) (n y)multiply row by column
The dot product of a matrix is a mathematical operation used to calculate the product of two matrices. It is also known as the matrix multiplication.
The dot product of two matrices A and B is denoted as AB, and can be calculated only if the number of columns in matrix A is the same as the number of rows in matrix B. For example, if matrix A has dimensions m x n and matrix B has dimensions n x p, then the resulting matrix AB will have dimensions m x p.
To calculate the dot product of two matrices, you multiply each element in a row of matrix A by the corresponding element in a column of matrix B and sum the products. This process is repeated for each row and column combination in the matrices until all elements in the resulting matrix are calculated.
The dot product of two matrices is not commutative, meaning that in general AB is not equal to BA. However, it is associative, meaning that (AB)C = A(BC). Moreover, if a matrix A is multiplied by an identity matrix I, the resulting matrix is A, i.e., AI = A.
The dot product of a matrix has practical applications in many fields, including engineering, physics, finance, and computer graphics, among others.
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