MATH 260 Assignments
Text: Linear Algebra and its Applications, Second Edition, David C Lay


Section    Page    Assignment
1.1 101,3,5,7,9,11,13,15,17,21,23,25,27,29,31,33,35
1.2 251,3,5,7,11,15,17,19,21,23,25,27,29,35
1.3 361,3,5,7,9,11,13,17,19,21,23,25,27,29,31
1.4 461,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,35,37
1.5 551,3,5,7,11,13,15,17,21,23,27,33
1.6 641,5,7,11,13,15,17,19,21,23,27,29,31,33,35,37,39
1.7 731,3,5,7,9,11,13,15,17,21,23,27,29,31,33,35
1.8* 831,4,9,13
   
2.1 1071,3,5,7,9,11,13,15,17,18,19,21,23,25,29,31
2.2 1171,3,5,7,9,11,13,15,17,19,21,23,24,25,27,29,31,35,37,39*
2.3 1231,3,5,7,9,13,15,17,19,21,23,25,27,29,33
2.4* 1301,3,5,7,9,11,13,17,19,23*
2.5* 1391,3,5,7,9,13,15,17,19,21,25,27
2.7@ 1531,3,5
2.8@ 1631,3,5,7,9,11,13,15,17,19
2.9* 1741,3,5,7,9,11,13,15,17,21,23,25,27,29,31,33,35,39
   
3.1* 1851,3,7,9,11,13,17,19,21,23,25,27,29,31,33,35,37,39,41,43*
3.2* 1931,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,33,35,37,39
   
4.1 2171,3,5,7,8,9,11,13,15,17,19,21,23,25,27,29,31,33,35
4.2 2281,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,33,35,37
4.3 2371,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31
4.4 2481,3,5,7,9,11,13,15,17,19,21,27,29
4.5 2551,3,5,7,9,11,13,15,17,19,21,23,25,27,29,30,31*,32*
4.6 2631,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,33
4.7* 2701,3,5,7,9,11,13,15
4.9@ 2901,3,5,7,9,11,13,15,19,21
   
5.1 3021,3,5,7,9,11,13,15,17,19,21,23,25,27
5.2 3111,3,5,7,9,13,15,17,19,21,23,24
5.3 3191,3,5,7,9,11,13,15,17,18,19,21,22,23,25,27,29
5.4* 3271,3,5,9,11,13,15,17,19,21,23
5.5* 3351,3,5,7,9,11,13,15
5.6@ 3461,2,3,5
   
6.1 3761,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31
6.2 3861,3,5,7,9,11,13,15,17,19,21,23,27,29
6.3 3951,3,5,7,9,11,13,15,17,19,21
6.4* 4021,3,5,7,9,11,13
6.5 4111,3,5,7,9,11,13,15,17,19
6.6@ 4201,3,5,7,9
   
7.1 4481,3,5,7,9,11,13,15,17,19,21,23,25,29
7.2 4571,3,5,7,9,11,13,19,21
7.3* 4651,3,5
*optional     @applications

MATH260 is a linear algebra (sometimes called matrix theory) course. Topic include systems of linear equations, row reduction, applications of linear systems, vectors in 3-space, linear independence, linear transformation, matrix operations, computer graphics@, determinants*, vector spaces , null space, column and row space, basis, eigenvectors, eigenvalues, diagonalization, complex eigenvalues*, inner product, length, orthogonality and orthogonal projections, Gram-Schmidt process*, least-squares problems, and quadratic forms.