Ifwe consider a square matrix, the columns (rows) are linearly independent only if the matrix is nonsingular. In other words, the rank of any nonsingular matrix of order m is m. The rank of a matrix A is denoted by ρ(A). The rank of a null matrix is zero. A null matrix has no non-zero rows or columns. So, there are no independent rows or columns.
Thefirst matrix in your problem $$ \begin{matrix} 1 & 0 \\ 0 & 1 \\ \end{matrix} $$ is a linear combination of the the first and last matrices in the basis. So yes, the 4 given matrices are in the span of all 2x2 matrices. Thisonline calculator will help you to solve a system of linear equations using Gauss-Jordan elimination. Using this online calculator, you will receive a detailed step-by-step solution to your problem, which will help you understand the algorithm how to solve system of linear equations by Gauss-Jordan elimination. Calculator. Tocheck linear dependence of 2 × 2 2 × 2 matrices, it will be useful to treat these like vectors of length four. More rigorously, use the standard basis of 2 2 2 × 2 matrices, e i j which has entry 1 1 in the i i th row and j j th column , zero entries elsewhere, to express everything. You get a system of linear equations to solve. Solution Step1: Multiply first equation by 5 and second by 2. After simplifying we have: Step2: add the two equations together to eliminate from the system. Step 3: substitute the value for x into the original equation to solve for y. The solution is: Check the solution by using the above calculator. 3. Tomultiply matrices they need to be in a certain order. If you had matrix 1 with dimensions axb and matrix 2 with cxd then it depends on what order you multiply them. Kind of like subtraction where 2-3 = -1 but 3-2=1, it changes the answer. So if you did matrix 1 times matrix 2 then b must equal c in dimensions.T=[ a −b b −a] T = [ a b − b − a] To normalize it, the matrix T T must satisfy this condition: T2 = 1 T 2 = 1 and 1 1 is the identity matrix. To solve that I set x2T2 = 1 x 2 T 2 = 1 and solve for x which is 1 a2−b2√ 1 a 2 − b 2. The normalized matrix is..