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### Course: Linear algebra > Unit 2

Lesson 6: More determinant depth- Determinant when row multiplied by scalar
- (correction) scalar multiplication of row
- Determinant when row is added
- Duplicate row determinant
- Determinant after row operations
- Upper triangular determinant
- Simpler 4x4 determinant
- Determinant and area of a parallelogram
- Determinant as scaling factor

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# (correction) scalar multiplication of row

Correction of last video showing that the determinant when one row is multiplied by a scalar is equal to the scalar times the determinant. Created by Sal Khan.

## Want to join the conversation?

- Good job making a correction. Unfortunatly you made another error this time: You forgot the signs, (-1)^(i+j), on every term after the first. Maybe it's because you confused some definitions, because in my material the determinant is defined as: det(A)=a_11*A_11+...+a_1n*A_1n where A_ij=(-1)^(i+j)*det(M(A)_ij) where M(A)_ij is the ij-minor of A. Is the definition Sal uses the most common or does it differ from country to country? :O(32 votes)
- I don't think an answer after such a long time would do you any good, however, I can assure you that it's the same in all the countries where determinants is taught. :)(6 votes)

- why does it say correction in the title?(1 vote)
- He made a computational error while finding the determinant of a n x n matrix in the previous video.(1 vote)

- At 1: 12, what is submatrix?(1 vote)
- Just like a subspace coming from space, it's a part of whole thing .(1 vote)

## Video transcript

I want to make a quick
correction or clarification to the last video that you may or
may not have found confusing. You may not have noticed it,
but when I did the general case for multiplying a row by a
scalar, I had this situation where I had the matrix A and I
defined it as-- it was n by n matrix, so it was a11, a12,
all the way to a1n. Then we went down this way. Then we picked a particular row
i, so we called that ai1, ai2, all the way to ain. And then we keep going down ,
assuming that this is the last row, so an1 all the
way to ann. When I wanted to find the
determinant of a, and this is where I made a-- I would call
it a notational error. When I wanted to find the
determinant of a, I wrote that it was equal to-- well, we could
go down, and in that video, I went down this row. That's why I kind of highlighted
it to begin with, and I wrote it down. So it's equal to-- do the
checkerboard pattern. I said negative 1
to the i plus j. Well, let's do the first term. I plus 1 times ai1 times
its submatrix. That's what I wrote in the last.
So if you have ai1, if you get rid of that row, that
column, you have the submatrix right there: ai1. That's what I wrote
in the last video, but that was incorrect. And I think when I did the 2 by
2 case and the 3 by 3 case, that's pretty clear. It's not times the matrix, it's
times the determinant of the submatrix, so this right
here is incorrect. And, of course, you keep adding
that to-- and I wrote ai2 times its submatrix
like that. ai2 all the way to ain
times its submatrix. That's what I did
in the video. That's incorrect. Let me do the incorrect in a
different color to show that this is all one thing. I should have said the
determinant of each of these. The determinant of a is equal
to minus 1 to the i plus 1 times ai1 times the determinant
of ai1 plus ai2 times the determinant of ai2,
the determinant of the submatrix all the way to ain
times the determinant of the submatrix ain. It doesn't change the logic of
the proof much, but I just want to be very careful that
we're not multiplying the submatrices because
that becomes a fairly complicated operation. Well, it's not that bad. It's a scalar. But when we find a determinant,
we're multiplying times the determinant
of the submatrix. We saw that when we first
defined it using the recursive definition for the n by n
determinant, but I just wanted to make that very clear.