Find value h so the matrix has infinitely many solutions?

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To find a value of h that results in infinitely many solutions for the matrix, setting h to -21 creates a row of zeros, indicating linear dependence and yielding one equation with two unknowns. For the second matrix, the goal is to find a value of k that results in no solutions; setting k to -24 initially seems plausible, but further reduction reveals that it leads to a contradiction. The discussion emphasizes the importance of careful row reduction and checking calculations to avoid errors. Additionally, using the determinant of the coefficient matrix is suggested as an alternative method to find k. Overall, the conversation focuses on understanding the conditions for infinite and no solutions in systems of linear equations.
mr_coffee
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Hello everyone I'm confused on what I'm suppose to do to solve this matrices.
|7 -7|5 |
|21 h|15|

What am I trying to make h be? I row reduced to get
|7 -7 |5|
|0 21+h |0|
So if i let h = -21 will this make it have infin. solutions? because then i would have 0 0 0?
 
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Indeed, by doing so you create 2 lineair dependant equations so when reduving, one cancels out as a 0 row. You then have 1 equation in 2 unknowns, giving an infinite set of solutions.
 
Thanks! this brings up another question..
I'm supppose to find a value of k that will make it have no solutions.
I have:
|1 1 4 2|
|1 2 -4 3|
|6 13 k 20|

-6R2 + R3 -> R3
|1 1 4 2|
|1 2 -4 3|
|0 1 24+k 2|

now if i let k = -24 will this make it have no solutions? because 0 cannot equal 2 right?
 
Then it would say in the last row: 0 1 0 2, which is still possible since then you have y = 2. You have to reduce it further to see it, I think :smile:
You could also compute the determinant of the coëfficiënt matrix and let it equal 0, solve for k.
 
When i keep trying to reduce it gets bad...
I ended up with
|1 1 4 2|
|2 3 0 5|
|0 0 -20-k 0|
and now I'm stuck, anyu ideas?
 
That's strange, perhaps you made some mistakes because that doesn't seem right to me.
Check your work again or use the other method I gave.
 
reduce the matrix in row echelon form,and follow the rules to solve it..its simple
 

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