0:00:00.000,0:00:00.460 0:00:00.460,0:00:03.260 I want to make a quick[br]correction or clarification to 0:00:03.260,0:00:06.540 the last video that you may or[br]may not have found confusing. 0:00:06.540,0:00:09.420 You may not have noticed it,[br]but when I did the general 0:00:09.420,0:00:13.090 case for multiplying a row by a[br]scalar, I had this situation 0:00:13.090,0:00:17.240 where I had the matrix A and I[br]defined it as-- it was n by n 0:00:17.240,0:00:23.560 matrix, so it was a11, a12,[br]all the way to a1n. 0:00:23.560,0:00:24.970 Then we went down this way. 0:00:24.970,0:00:30.220 Then we picked a particular row[br]i, so we called that ai1, 0:00:30.220,0:00:33.410 ai2, all the way to ain. 0:00:33.410,0:00:36.065 And then we keep going down ,[br]assuming that this is the last 0:00:36.065,0:00:40.250 row, so an1 all the[br]way to ann. 0:00:40.250,0:00:42.500 When I wanted to find the[br]determinant of A, and this is 0:00:42.500,0:00:46.770 where I made a-- I would call[br]it a notational error. 0:00:46.770,0:00:51.360 When I wanted to find the[br]determinant of A, I wrote that 0:00:51.360,0:00:55.460 it was equal to-- well, we could[br]go down, and in that 0:00:55.460,0:00:57.010 video, I went down this row. 0:00:57.010,0:00:59.350 That's why I kind of highlighted[br]it to begin with, 0:00:59.350,0:01:00.770 and I wrote it down. 0:01:00.770,0:01:03.370 So it's equal to-- do the[br]checkerboard pattern. 0:01:03.370,0:01:06.610 I said negative 1[br]to the i plus j. 0:01:06.610,0:01:07.640 Well, let's do the first term. 0:01:07.640,0:01:16.240 I plus 1 times ai1 times[br]its submatrix. 0:01:16.240,0:01:19.750 That's what I wrote in the last.[br]So if you have ai1, if 0:01:19.750,0:01:22.810 you get rid of that row, that[br]column, you have the submatrix 0:01:22.810,0:01:24.550 right there: ai1. 0:01:24.550,0:01:26.550 That's what I wrote[br]in the last video, 0:01:26.550,0:01:27.970 but that was incorrect. 0:01:27.970,0:01:31.050 And I think when I did the 2 by[br]2 case and the 3 by 3 case, 0:01:31.050,0:01:32.000 that's pretty clear. 0:01:32.000,0:01:34.780 It's not times the matrix, it's[br]times the determinant of 0:01:34.780,0:01:37.420 the submatrix, so this right[br]here is incorrect. 0:01:37.420,0:01:40.770 And, of course, you keep adding[br]that to-- and I wrote 0:01:40.770,0:01:44.520 ai2 times its submatrix[br]like that. 0:01:44.520,0:01:50.620 ai2 all the way to ain[br]times its submatrix. 0:01:50.620,0:01:51.560 That's what I did[br]in the video. 0:01:51.560,0:01:52.780 That's incorrect. 0:01:52.780,0:01:56.250 Let me do the incorrect in a[br]different color to show that 0:01:56.250,0:01:57.680 this is all one thing. 0:01:57.680,0:01:59.960 I should have said the[br]determinant of each of these. 0:01:59.960,0:02:07.200 The determinant of A is equal[br]to minus 1 to the i plus 1 0:02:07.200,0:02:16.180 times ai1 times the determinant[br]of ai1 plus ai2 0:02:16.180,0:02:20.440 times the determinant of ai2,[br]the determinant of the 0:02:20.440,0:02:26.440 submatrix all the way to ain[br]times the determinant of the 0:02:26.440,0:02:29.440 submatrix ain. 0:02:29.440,0:02:31.890 It doesn't change the logic of[br]the proof much, but I just 0:02:31.890,0:02:33.910 want to be very careful that[br]we're not multiplying the 0:02:33.910,0:02:35.850 submatrices because[br]that becomes a 0:02:35.850,0:02:37.630 fairly complicated operation. 0:02:37.630,0:02:38.260 Well, it's not that bad. 0:02:38.260,0:02:38.820 It's a scalar. 0:02:38.820,0:02:41.630 But when we find a determinant,[br]we're multiplying 0:02:41.630,0:02:43.360 times the determinant[br]of the submatrix. 0:02:43.360,0:02:45.850 We saw that when we first[br]defined it using the recursive 0:02:45.850,0:02:48.760 definition for the n by n[br]determinant, but I just wanted 0:02:48.760,0:02:51.230 to make that very clear. 0:02:51.230,0:02:51.399