Hello, I am doing an independent study on matrix operations and made a few problems up so someone can show me how to break them down and solve. I am really having a hard time understanding them and I figure that the best way to learn them would be from the work and each individual step. If someone has the time, please help me by breaking each of these four problems down for me, so I know how to do them. I appreciate anyone who is willing to help.
IMPORTANT: Each section of brackets, for example, as in question #1, is to be read as the first row [2 3] or second row [3 5] of one matrix. I had to ask because I wrote it according to some poorly written problems and didn't understand what it meant.
1. [2 3] [3 5]
2. [6 8] [5 7]
Find the matrix X:
3. [6 5] [4 -2] * X = [18 49] [-20 6]
4. [3 4] [-3 -2] * X = [10 -10] [-8 8]
That makes no sense at all! If the "notation means multiply", then what are you to find the inverse of? As skeeter told you before, you cannot multiply a (1 by 2) matrix by a (1 by 2) matrix.
You can multiply a (1 by 2) matrix by a (2 by 1) matrix. Did you mean
Or do you mean the dot product of two vectors?
Or, since you now mention inverses, do you mean to find the inverse of the matrix ?
Good! Now, I know two methods of finding inverse matrices, one using the determinant and "cofactors", the other "row operations".
With your matrix, , the determinant is just . If you label the numbers is a matrix " ", the cofactor of is the determinant you get by removing the ith row and jth column, multiplied by . For this simple 2 by 2 matrix, the cofactor of "2", in the first row, first column, is just , the cofactor of the "3" in first row, second column, is , the cofactor of the "3" in second row, first column is and the cofactor of the "5" in second row, second column, is . The matrix you get by replacing each number by its cofactor is . The inverse matrix is just that with each number divided by the determinant. Since, here, the determinant was 1, the inverse of is just .
You should try multiplying and to see that both do, in fact, give the inverse matrix.
For simple, 2 by 2, matrices (especially if the determinant is 1!) that probably is the simplest method. For larger matrices it is much simpler to use "row operations". The three kinds of row operations are (1) swap two rows, (2) multiply every number in a row by the same number, and (3) add a multiple of one rwo to another.
Set up the given matrix and the identity matrix side by side. Here:
Now perform row operations to change the original matrix to the identity matrix- at the same time performing the row operation to the matrix on the right as well. When you have converted the original matrix to the identity matrix, you will have converted the identity matrix to the inverse of the original matrix.
It is best to work one column at a time, getting "1" in the appropriate position (called the "pivot"), then getting the "0"s you need in that column. Here, the "first column, first row position, is "2" so I can get a "1" in that position by multiplying the entire first row by 1/2:
After I have a "1" in that position, I can get a "0" in the second row, first column by subtracting 3 times that new first row from the second row:
The first column is now complete so I turn to the second column. I need a "1" where there is now " " so I need to multiply the second row by 2:
Finally, get "0" in the first row, second column, by subtracting 3/2 times the new second row from the first row:
exactly the matrix we got before.