Errata for MIT OCW 18.06SC
This page has errata, crossreferences, and other notes about the MIT Open Courseware subject 18.06SC Linear Algebra, led by Professor Gilbert Strang.
Contents
Index Errata for Differential Equations and Linear Algebra
Errata
"Overview of Key Ideas" Recitation
Index for Differential Equations and Linear Algebra
Textbook CrossReference
The textbook for 18.06SC is Prof. Strang's Introduction to Linear Algebra from 2009 ("ila"). On the 18.06SC syllabus page is the suggestion that one might consider supplementing the course with Prof. Strang's 2014 textbook Differential Equations and Linear Algebra ("dela"). For those with a suitable background in mathematics (such as already knowing much of the material from having taken another linear algebra course in the past), or who are willing to augment the textbook with other resources (e.g. Wolfram MathWorld or Kahn Academy) might wish to get dela instead of ila, here is a table showing which parts of dela correspond most closely to the assigned readings in 18.06SC:

Index Errata for Differential Equations and Linear Algebra
A complete corrected index is here.
This is a list of headings for which I have found specific errors and also managed to work out the proper page numbers. Early in my use of DE&LA I found many cases, not listed here, for which I could not figure out the correct page number. However it seems that the errors are methodical: a page number in the high 100's or low 200's is off by one, a page number in the low 300's is off by two and in the mid 300's to low 400's is off by three. By looking at these corrected index entries you can see the pattern in more detail:
column space 252, 257, 276 254, 259, 278
conductance matrix 124, 382, 423, 424 385, 425, 426
determinant 174, 227, 231, 323, 327, 329, 333, 344, 350, 399, 228, 232, 326, 330, 332, 336, 347, 353, 402, 492
Fast Fourier Transform 88, 449 450452
freefree boundary conditions 409 412
Fundamental Theorem 5, 8, 42, 243, 302, 305, 397 244, 304, 307, 400
heat equation 407 410, 455, 456
Laplace equation 414, 415 416, 417
Laplace transform, 121, 140150151, 470478
Laplace's equation 416, 440, 441 418, 442, 443
perpendicular subspaces 310 306
rank one matrix 303 305
second difference 239, 245, 407, 412, 413 240, 246, 410, 415, 416
shift invariance 98, 459 461, 480, 482, 487
solution curve 153 154
trace 174, 328, 329, 333, 344, 350, 381 175, 331, 332, 336, 347, 353, 384
Wronskian 134, 135, 363, 381 366, 384
When searching for the proper index entry, do not skip over the Problem Sets, where many concepts are introduced and/or expanded upon.
{Speculation: perhaps the Chapter 3 intro. on page 153, Chapter 4 Notes on p. 249 and Chapter 5 Notes on p. 321, or the blank pages immediately preceding/following them, were inserted after the index was completed. Also, something seems to have been removed between sections 8.2 (on FFT) and 8.3 on (Heat Equation).}
ERRATA
Following are uncorrected errors that I found whilst going through 18.06SC. I do not mention transient mistakes, such as a number written on the blackboard which is soon fixed (often after being pointed out by a student who was in the classroom at the time).
"Overview of Key Ideas" Recitation
After the first lecture you will come to the segment "An Overview of Key Ideas". The lecture (derived from the beginning of subject 18.085) fits well at this point in the course, but the recitation (problem solving video) does not. If you wish to do the recitation anyway, you might wish to review the textbook reading for lecture L08, particularly section 3.4 "The Complete Solution to Ax = b" (or section 5.3 in Differential Equations and Linear Algebra). Since there is no problem set at this segment, you might just save the recitation until you get to L08.
Problem 3.2
In the answer for problem 3.2, the first mention of "cR_{2}" has the wrong subscript; it should instead be cR_{3}.
Lecture 6 summary
In the "Nullspace of A" section, where it says "A(x_{1}+x_{2}) = Ax_{1} + x_{2} = 0+0", there is an A missing; it should say "A(x_{1}+x_{2}) = Ax_{1} + Ax_{2} = 0+0".
Problem 7.1
In the answer for problem 7.1, there are two sign errors: the final step of rowreduction should give ^{23}/_{4} in row 1, column 3, and so the corresponding special solution in the answer to part c) should have ^{23}/_{4} in its first component.
Recitation 12
The third part of recitation 12 asks for the "trace" of a matrix. This term is not mentioned in the lecture, but is in the reading using the recommended textbook Introduction to Linear Algebra (Strang, 2009).
If you are instead using Differential Equations and Linear Algebra (Strang, 2014) you'll find that the index entres for "trace" are wrong. See my index errata, or just read the discussion of determinants at the end of section 6.1 (pages 331, 332).
Matrix Names
A nonspecific name for a matrix
A^{1} the inverse of A
A^{T} the transposition (or "transpose") of A
C circulant
D difference matrix
E elimination matrix
F Fourier matrix
I the identity matrix
L lower triangular matrix
P permutation matrix
Q orthogonal matrix
S symmetric matrix
secondorder difference matrix
U upper triangular matrix
Index for Differential Equations and Linear Algebra
The index in the book Differential Equations and Linear Algebra is riddled with errors. (It seems they indexed a draft version and in the final, all the page numbers changed, in a fairly monotinic but nonlinear manner.) See index errata for a few corrections.
I decided to reindex the whole book in parts, as part of my exam review and test prep process. Here then is a partial index
Sections indexed so far: 4.14.4
back substitution 249 block multiplication 227 coefficiant matrix 199 column picture 198, 204, 206 column vectors, combination 198, 201 complete solution 203, 205 dependent vectors 205 determinant 228 2x2 case 1/(adbc) 228 and invertibility 232 as product of pivots 232 difference matrix 240, 246 dot product (of vectors) 201 of perpendicular vectors 201 eigenvalue of symmetric matrix 239 eigenvector of symmetric matrix 239 elimination 210, 215218 see also GaussJordan elimination as product of D^{1}, E, and P 232 as proof of invertibility 233 backsubstitution 213, 214 complete solution 211 infinitely many solutions 211 no solution 211 pivots on diagonal 213 row exchange 212 singular system 211 upper triangular result 213 elimination matrix 221, 222 factorisation as A=LU 249 as A=SQ 244 forward substitution 204, 249 GaussJordan elimination 230232, 236 and U L^{1} 232 of triangular matrix 233 Hadamard matrix 243 identity matrix 201 independent vectors 205 inverse matrix 220, 221, 228 by GaussJordan elimination 230232 existence 228 number of operations n^{3} 232 of 2x2 matrix 228 of diagonal matrix 229 of elimination matrix 229 of product (AB)^{1} = A^{1} B^{1} 229, 230 of a sparse matrix 232 of square matrix 230 transpose of 238 uniqueness 228 invertible matrix 204, 205, 228 and Av=0 228 and determinant 228 and uniqueness of Av=b 228 vs singular 232 LAPACK 242 least squares solution 239 linear combination of columns 199 linear combination of vectors 200, 201 magic squares 209 matrix associative property for addition A+(B+C)=(A+B)+C 220 circulant 205 commutative property for addition A+B=B+A 220 distributive property for scalar multiplcation c(A+B)=cA+cB 220 invertible 204 lower triangular 204 multiplication see matrix multiplication powers of 221, 225, 226 singular 202, 205 matrix multiplication A_{mxn} B_{nxp} 219, 223, 224, 249 AB != BA 219, 220 1. as mxp dot products (aggregate of rowcolumn products) 222, 226 2. as p matrixvector products 219, 222, 226 3. as m vectormatrix products 222, 226 4. as 1 matrixsum of n columnrow products 222, 226 associative property (AB)C=A(BC)=ABC 220 blocks see block multiplication by identity matrix 219, 221 by inverse of a matrix 220 distributive property A(B+C)=AB+AC 220 distributive property (A+B)C=AC+BC 220 number of operations mxnxp or n^{3} 223, 227 matrixvector multiplication 199, 202, 207, 208 as dot products of rows 202 as a combination of columns 202 multiplier (of a row) 210 null solution 203, 205, 211 orthogonal matrix 238, 242, 247 columns of 238 (left) inverse of see orthogonal matrix, transpose of product of 244 symmetric 244 transpose of 242, 243 and unit vectors 238 orthonormal see orthogonal particular solution 203, 205, 211 permutation matrix 241, 246 to select largest pivots 242 perpendicular vectors 201 see also orthogonal pivots 210, 211 and invertibility 233 rotation matrix 238 row picture 197, 204, 206 scalar multiplication 198 second difference matrix 240, 246 compared to L=AA^{T} 241 singular matrix 202, 205 no solution or infinity of solutions 203 sudoku 209 sum matrix 249 symmetric matrix 238, 245 A^{T}A 239 eigenvalue of 239 eigenvectors of 239 and least squares solution 239 orthogonal 244 transpose (of a matrix) 238, 245 inverse of 238 products of 238 tridiagonal matrix 232, 246 triangular matrix invertibility 233 unit vector 238 see also orthonormal upper triangular 210 vector addition 199, 200
References
Strang, Gilbert. 18.06SC Linear Algebra, Fall 2011. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/courses/mathematics/1806sclinearalgebrafall2011 (Accessed 17 Dec, 2014). License: Creative Commons BYNCSA
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