HM am i not allowed to use this method? Finding the determinant vs row reduce

In summary: In this case, since the coefficients are not square, row reduction will not give the correct values. However, cofactor expansion will work.
  • #1
mr_coffee
1,629
1
Hello everyone, I would rather find the cofactors and find the determinant than row reducing this, but is it possible, its not square! But our teacher is acting like its possible, so it must be! here is the equations:
x+y+z = 4
2x-y+4z=9
3y-z = 1

so i got:
1 1 1 4
2 -1 4 9
0 3 -z 1

a 3x4! but is there anyway for me to solve the following system other then row reduction or augmenting it with the idenity matrix? Thanks!
 
Physics news on Phys.org
  • #2
mr_coffee said:
Hello everyone, I would rather find the cofactors and find the determinant than row reducing this, but is it possible, its not square! But our teacher is acting like its possible, so it must be! here is the equations:
x+y+z = 4
2x-y+4z=9
3y-z = 1
so i got:
1 1 1 4
2 -1 4 9
0 3 -z 1
a 3x4! but is there anyway for me to solve the following system other then row reduction or augmenting it with the idenity matrix? Thanks!

Sure there is. Use Cramer's Rule, where's a link:

http://mathworld.wolfram.com/CramersRule.html
 
  • #3
It's not square because you are using the "augmented" matrix.

The matrix representing the coefficients is square- its 3 by 3. The augmented matrix is not square because it has the right hand side of the equations added as a 4th column.
 
  • #4
So if i don't augment it, will i still get the correct value if i use cofactor expansion? what do i with the other set of vectors t hough? the vectors that are = [4 9 1]^T
 
  • #5
Have you understood how Cramer's rule works?
You always work with the coefficient matrix. To find the n-th unkown, you replace the n-th column in the coefficient matrix ("A") by the column of the constants ("B") and you take its determinant and divide it by det(A). You do this for each unkown. Realise that this only works for non-singular (so regular) matrices A, since det(A) can't be 0.
 
  • #6
Ohh, I had no idea that's what cramer's rule really ment. Thank you! I'll see if I can figure these out and get the right values. When you say its gota be singular, what would be a case when i couldn't apply the determinant?
 
Last edited:
  • #7
awesome, that works, but i just found out that row reduction is the fastest, unless its going to be a big one!
 
  • #8
Cramer's rule is generally not of computational interest... however, it is good to know because it can be pretty handy for proving theorems.
 

FAQ: HM am i not allowed to use this method? Finding the determinant vs row reduce

Why am I not allowed to use this method for finding the determinant?

The method of row reduction is not applicable for finding the determinant because it only applies to square matrices. In addition, row reduction involves changing the rows and columns of a matrix, which can alter the determinant value.

Can I use the row reduction method to find the determinant of any matrix?

No, the row reduction method can only be used for square matrices. Non-square matrices do not have a determinant.

What is the difference between finding the determinant and using the row reduction method?

Finding the determinant involves calculating the value of a square matrix based on certain rules, while row reduction involves performing mathematical operations on a matrix to simplify it into an upper triangular form.

Are there any advantages to using the row reduction method over finding the determinant?

The row reduction method can be more efficient for larger matrices, as it involves fewer calculations compared to finding the determinant using the rule of Sarrus or the rule of Laplace.

Is there a specific situation where finding the determinant is preferred over using the row reduction method?

In certain cases, such as when dealing with symmetric matrices, finding the determinant using the rule of Sylvester can be more efficient than using the row reduction method.

Back
Top