18.06 Linear Algebra, Spring 2011


Schedule and Lecture Outline

Syllabus

Class Date Day Title Sections Announcements
Lecture 01 9/08 W The Geometry of Linear Equations. 1.1-2.1
Lecture 02 9/10 F Elimination with Matrices. 2.2-2.3
Lecture 03 9/13 M Matrix Operations and Inverses. 2.4-2.5
Lecture 04 9/15 W A = LU and A = LDU Factorization. 2.6 Problem Set 1 Due 9/16
Lecture 05 9/17 F Permutations, Dot Products, and Transposes. 2.7
Lecture 06 9/20 M Vector Spaces and Subspaces. 3.1
Lecture 07 9/22 W The Nullspace: Solving Ax=0. 3.2 Problem Set 2 Due 9/23.
Lecture 08 9/24 F Solving $Ax=b$ for nonsquare $A$, Row-reduced Echelon Form. 3.3-3.4
Lecture 09 9/27 M Independence, Dimension, and Bases. 3.5
Lecture 10 9/29 W The Four Fundamental Subspaces. 3.6 Problem Set 3 Due 9/30.
Lecture 11 10/01 F EXAM REVIEW. 3.6
Exam 1 10/04 M EXAM: Chapters 1 to 3.5
Lecture 12 10/06 W Graphs and Networks. 8.2 Problem Set 4 Due 10/07.
Lecture 13 10/08 F Orthogonality and Subspaces 4.1
10/11 M COLUMBUS DAY
Lecture 14 10/13 W Projections. 4.2 Problem Set 5 Due 10/14
Lecture 15 10/15 F Least Squares Approximations. 4.3
Lecture 16 10/18 M Orthonormal Bases, Gram-Schmidt, and $A=QR$. 4.4
Lecture 17 10/20 W Fourier Series and Orthogonal Polynomials. 8.5 Problem Set 6 Due 10/21
Lecture 18 10/22 F Properties of Determinants. 5.1
Lecture 19 10/25 M Formulas for Determinants; Jacobians. 5.2-5.3
Lecture 20 10/27 W Eigenvalues and Eigenvectors. 6.1 Problem Set 7 Due 10/28
Lecture 21 10/29 F Similar Matrices, Diagonalization, and Powers of $A$ 6.6, 6.2
Lecture 22 11/01 M EXAM REVIEW
Exam 2 11/03 W EXAM: Chapter 1 to 5.3 and 8.2,8.5
Lecture 23 11/05 F Markov Matrices 8.3
Lecture 24 11/08 M Differential Equations 6.3
Lecture 25 11/10 W Symmetric Matrices. 6.4 Problem Set 8 Due 11/11
Lecture 26 11/12 F Positive Definite Matrices. 6.5
Lecture 27 11/15 M Defective Matrices: Jordan Forms and Generalized Eigenvectors. 6.6
Lecture 28 11/17 W Singular Value Decompositions. 6.7 Problem Set 9 Due 11/18.
Lecture 29 11/19 F Matrices in Engineering. 8.1
Lecture 30 11/22 M Linear Operators on Functions.
Lecture 31 11/24 W Sparse Matrices and Iterative Methods. 9.3 Problem Set 10 Due 11/29.
11/26 F THANKSGIVING.
Lecture 32 11/29 M EXAM REVIEW.
Exam 3 12/01 W EXAM: Chapters 1 to 6.7 and 8.1, 8.3, 8.5.
Lecture 33 12/03 F Numerical Linear Algebra 9.1-9.2
Lecture 34 12/06 M Complex Matrices and FFTs 10.1-10.3
Lecture 35 12/08 W Course Review.
Final Exam TBD