I have to say thank you so much very very so so so so much I make me understand a lot because the book that I read now is not explain how it’s come and you make me understand, thank you. Ps I from Thailand.🙏🏻
A·adj(A) = adj(A)·A = det(A)·I is a true statement _regardless_ of what det(A) is. So you can still use this fact for the case that det(A) = 0. Suppose det(A) = 0. This has two subcases. If A is not the 0 matrix, then adj(A)·A = det(A)·I = 0·I = 0. Since adj(A) multiplies a nonzero matrix to 0, then adj(A) is _not_ invertible. Hence, det(adj(A)) = 0. If A is the 0 matrix, then it's easy to see using the definition of adj(A) that adj(A) is the 0 matrix too. So of course, det(adj(A)) = 0 in this case. And of course, 0 = 0^(n-1) (when n is at least 2).
Let B = adj(A). det(adj(B)) = det(B)^(n-1) (by the proof shown in this video). det(B) = det(adj(A)) = det(A)^(n-1) Substitute into the previous line det(adj(B)) = (det(A)^(n-1))^(n-1) = det(A)^((n-1)(n-1)) = det(A)^((n-1)^2)
A·adj(A) = adj(A)·A = det(A)·I is a true statement _regardless_ of what det(A) is. So you can still use this fact for the case that det(A) = 0. Suppose det(A) = 0. This has two subcases. If A is not the 0 matrix, then adj(A)·A = det(A)·I = 0·I = 0. Since adj(A) multiplies a nonzero matrix to 0, then adj(A) is _not_ invertible. Hence, det(adj(A)) = 0. If A is the 0 matrix, then it's easy to see using the definition of adj(A) that adj(A) is the 0 matrix too. So of course, det(adj(A)) = 0 in this case. And of course, 0 = 0^(n-1) (when n is at least 2).
Very clear thank you, this helped me with my final exam in linear algebra 7 years after this video was posted !
Melie Melie I am glad this video helped you...
how about when the matrix A is singular?
My life have been saved, thank you!
Nice explanations ❣️
finally someone capable of explaining how do you transform det(detA*I) in det(a)n thank you man my bro
The best explanation online.
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holyshit
Bro ur video helped me even after 8 years ❤️
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This is great and really helped me figure out a problem, thanks! Very clearly done!
Thank you bro I used this proof for my linear alg quiz, it was so helpful. continue
A very clear explanation, thanks!
Its very good. Thanks
Great explination, thank you!
Is this only for square matrixes
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Thanks man!! Very good explanation!
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I have to say thank you so much very very so so so so much I make me understand a lot because the book that I read now is not explain how it’s come and you make me understand, thank you. Ps I from Thailand.🙏🏻
Thank U so much for have been made this video!
This was so helpful! thanks!
So helpful! Thanks!
Can u prove that |detA| = 1 with A invertible?
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OMG It was really helpful. Thanks!
thank you so much.
You are God, thanks for share this video (Y)
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Thank you.
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thank you
what if a isn´t invertable
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Thanku if you are still reading the comments after 7 years
a step by step explanation , thank you! deserved the 0 dislikes xD
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How about this case ; detA is 0
A·adj(A) = adj(A)·A = det(A)·I is a true statement _regardless_ of what det(A) is. So you can still use this fact for the case that det(A) = 0.
Suppose det(A) = 0. This has two subcases.
If A is not the 0 matrix, then adj(A)·A = det(A)·I = 0·I = 0. Since adj(A) multiplies a nonzero matrix to 0, then adj(A) is _not_ invertible. Hence, det(adj(A)) = 0.
If A is the 0 matrix, then it's easy to see using the definition of adj(A) that adj(A) is the 0 matrix too. So of course, det(adj(A)) = 0 in this case.
And of course, 0 = 0^(n-1) (when n is at least 2).
det(adj(adj(a)))=(det(a))^(n-1)^2 can U pls prove this..
Let B = adj(A).
det(adj(B)) = det(B)^(n-1) (by the proof shown in this video).
det(B) = det(adj(A)) = det(A)^(n-1)
Substitute into the previous line
det(adj(B)) = (det(A)^(n-1))^(n-1) = det(A)^((n-1)(n-1)) = det(A)^((n-1)^2)
thanks man!
Bro are you still Here
If det(A)=0 then
A·adj(A) = adj(A)·A = det(A)·I is a true statement _regardless_ of what det(A) is. So you can still use this fact for the case that det(A) = 0.
Suppose det(A) = 0. This has two subcases.
If A is not the 0 matrix, then adj(A)·A = det(A)·I = 0·I = 0. Since adj(A) multiplies a nonzero matrix to 0, then adj(A) is _not_ invertible. Hence, det(adj(A)) = 0.
If A is the 0 matrix, then it's easy to see using the definition of adj(A) that adj(A) is the 0 matrix too. So of course, det(adj(A)) = 0 in this case.
And of course, 0 = 0^(n-1) (when n is at least 2).
Thank
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Bro 9 year back
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