18.06 Linear Algebra, Spring 2010


Schedule and Lecture Outline

Syllabus

Class Date Day Title Sections Announcements
Lecture 01 02.03 W The Geometry of Linear Equations. 1.1-2.1
Lecture 02 02.05 F Elimination with Matrices. 2.2-2.3
Lecture 03 02.08 M Matrix Operations and Inverses. 2.4-2.5
Lecture 04 02.10 W LU and LDU Factorization 2.6 Problem Set 1 Due 02.11
Lecture 05 02.12 F Transposes and Permutations. 2.7
Lecture 06 02.16 T Vector Spaces and Subspaces. 3.1
Lecture 07 02.17 W The Nullspace: Solving Ax=0. 3.2 Problem Set 2 Due 02.18.
Lecture 08 02.19 F Rectangular PA = LU and Ax=b. 3.3-3.4
Lecture 09 02.22 M Row Reduced Echelon Form. 3.3-3.4
Lecture 10 02.24 W Basis and Dimension. 3.5 Problem Set 3 Due 02.25.
Lecture 11 02.26 F The Four Fundamental Spaces. 3.6
Exam 1 03.01 M Chapters 1--3 1.1-3.4
Lecture 12 03.03 W Graphs and Networks. 8.2 Problem Set 4 Due 03.04.
Lecture 13 03.05 F Orthogonality 4.1
Lecture 14 03.08 M Projections and Subspaces. 4.2
Lecture 15 03.10 W Least Squares Approximations. 4.3 Problem Set 5 Due 03.11.
Lecture 16 03.12 F Gram-Schmidt and A = QR. 4.4
Lecture 17 03.15 M Properties of Determinants. 5.1
Lecture 18 03.17 W Formulas for Determinants. 5.2 Problem Set 6 Due 03.18.
Lecture 19 03.19 F Applications of Determinants. 5.3
Lecture 20 03.29 M Eigenvalues and Eigenvectors. 6.1
Lecture 21 03.31 W Diagonalization 6.2 Problem Set 7 Due 04.01.
Lecture 22 04.02 F Markov Matrices 8.3
Lecture 23 04.05 M Review for Exam 2
Exam 2 04.07 W Chapters 1--5, 6.1-6.2, 8.2 1.1-5.3,6.1-6.2,8.2
Lecture 24 04.09 F Differential Equations 6.3
Lecture 25 04.12 M Symmetric Matrices. 6.4
Lecture 26 04.14 W Positive Definite Matrices. 6.5 Problem Set 8 Due 04.15.
Lecture 27 04.16 F Matrices in Engineering. 8.1
Holiday 04.19 M Patriot's Day
Lecture 28 04.21 W Similar Matrices. 6.6 Problem Set 9 Due 04.22.
Lecture 29 04.23 F Singular Value Decomposition. 6.7
Lecture 30 04.26 M Fourier Series, FFT, Complex Matrices. 8.5, 10.2-10.3
Lecture 31 04.28 W Linear Transformations. 7.1-7.2 Problem Set 10 Due 04.29.
Lecture 32 04.30 F Choice of Basis. 7.3-7.4
Lecture 33 05.03 M Linear Programming. 8.4
Lecture 34 05.05 W Course Review.
Exam 3 05.07 F Chapters 1--8 1.1-6.7,8.1-3,8.5
Lecture 35 05.10 M Numerical Linear Algebra 9.1-9.3
Lecture 36 05.12 W Computational Science.
Final Exam 05.18 T 1-8,10