Matrix subtraction calculator

Matrix Solver, Matrix Subtraction

**Matrix** in this form
\[
\begin{vmatrix}
a_{11} \ a_{12} \\
a_{21} \ a_{22}
\end{vmatrix}
\begin{vmatrix}
b_{11} \ b_{12} \\
b_{21} \ b_{22}
\end{vmatrix}
\]

Arithmetic progression series calculator calculate the AP series when, n-term, first and last terms are given

Matrix subtraction is an operation performed on matrices in linear algebra, where the elements of one matrix are subtracted from the corresponding elements of another matrix. It is denoted by the symbol "-" between the matrices.

To perform matrix subtraction, the matrices involved must have the same dimensions, meaning they must have the same number of rows and columns. The resulting matrix will also have the same dimensions as the original matrices.

The subtraction is done element-wise, meaning that each element in the resulting matrix is obtained by subtracting the corresponding elements from the original matrices. For example, if we have two matrices A and B, and we want to subtract B from A, the element in the i-th row and j-th column of the resulting matrix C will be obtained by subtracting the element in the i-th row and j-th column of B from the element in the i-th row and j-th column of A.

Mathematically, the matrix subtraction can be represented as:

**C = A - B**

where C is the resulting matrix, A is the matrix from which we subtract, and B is the matrix being subtracted.

Matrix subtraction is a fundamental operation in linear algebra and is used in various applications such as solving systems of linear equations, finding the difference between two sets of data, and performing transformations in computer graphics.

Analytically, matrix subtraction can be seen as a combination of scalar subtraction and vector subtraction. Each element in the resulting matrix is obtained by subtracting the corresponding elements from the original matrices, which can be seen as subtracting scalars. Additionally, the resulting matrix can be seen as a vector formed by subtracting the corresponding vectors from the original matrices.

It is important to note that matrix subtraction is not commutative, meaning that the order of subtraction matters. In other words, A - B is not necessarily equal to B - A. Therefore, when performing matrix subtraction, it is crucial to pay attention to the order of the matrices involved.

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