Assignments for Linear Algebra II
Spring, 2015
Instructor: Carol Schumacher

Office Hours

Jump To: January, FebruaryMarch, April , May , Final Exam
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Date 

Topic 

Reading Assignment 

Homework Assignment

*
Monday, January 12 Class meets with Prof. Schumacher to discuss Leslie Matrix Models Handout on Difference Eqns and Leslie Model.  
Wednesday, January 14 Further discussion of difference equations and Leslie Matrix Model
Review of raising matrices to powers
   
Friday, January 16 Leslie Matrices and long-term behavior    
 
Monday, January 19 Leslie Matrices and Long-term behavior, cont.
Review and extensions of Diagonalization.
Finbeiner 7.1 and 7.2 Due: Homework on Leslie Matrices and Difference Equations
Wednesday, January 21 Eigenvector/Eigenvalue properties of Leslie Matrices.    
Friday, January 23 Eigenvector/Eigenvalue properties of Leslie Matrices, continued. Google Euler's formula and DeMoivre's theorem for complex numbers; see they are used to find powers of complex numbers. Due: Homework #2 on Leslie Matrices
 
Monday, January 26 Finish discussion of Difference Equations and Leslie matrices. Finkbeiner 7.1 and 7.2 ---- AGAIN!!! Plus the first two pages of section 7.3. (If you see unfamiliar language or notation, you will need to dig back in the book to find and understand it---if there's no reference, use the index.) Homework: Write at least 3, but no more 5 specific questions from the reading---make sure to specify what portion of the reading you are asking about. (E.g. Having trouble understanding the proof of thm. 7.3; Or I don't understand that matrix P they keep talking about on pg.194.)
Wednesday, January 28 Digging into some review Diagonalization and change of basis  
Friday, January 30 Algebraic and geometric points of view for Linear transformations   Due: Solutions to Linear Difference Equations
 
Monday, February 2 Decompositions with Linear Transformations, part I. Read end of Finkbeiner 7.2, AGAIN!!! Due: Finkbeiner---Problems 6.4-3, 7.1-4 and 7.1-7; Prove Theorems 7.1 and 7.2.
Wednesday, February 4 Developing some new ideas.   Due: Finkbeiner 7.2---Problems 8, 9 plus the handout on New Ideas.
Friday, February 6 Decompositions with Linear Transformations, cont. Read Finkbeiner, pages 203-204, again!!  
 
Monday, February 9 Decompositions with Linear Transformations, cont.
Class presentations of proofs.
  Work on "Facts" associated with Decomposition thm.
Wednesday, February 11 A short primer on Direct Sums
Finish Decomposition Theorem.
   
Friday, February 13

T-cyclic subspaces of a vector space.

Read Finkbeiner Pg 205. Work on Direct Sums and Nilpotent-NonSingular Decompositions homework
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Monday, February 16 Finish discussion of T-cyclic subspaces   Due: Direct Sums and Nilpotent-NonSingular Decompositions homework
Wednesday, February 18

Test # 1

Friday, February 20 Introduction to Singular Value Decomposition    
 
Monday, February 23 SVD intro, continued
Graham-Schmidt Process for constructing an orthonormal basis
Read about Graham-Schmidt (This is the first three pages of Section 6.4 in Lay, but should also be in most linear algebra texts.) SVD Preliminaries hmwk due.
Wednesday, February 25 Finish Graham-Schmidt Discussion
  SVD Homework 1, due.
Friday, February 27 The Norm of a Linear Transformation and interpreting the SVD.   Graham-Schmidt homework due.

Spring Break

Monday, March  16 Geometric interpretation of the SVD    
Wednesday, March 18 SVD---theoretical underpinnings    
Friday, March 20 Image of the unit sphere under a linear transformation.    
 
Monday, March 23     Theoretical Issues and the SVD homework due.
Wednesday, March 25     The SVD for Symmetric matrices homework, due.
Friday, March 27

No Class; Prof. Schumacher out of town.

 
Monday, March 30 The kth svd approximation as "best" rank k approximation of A.    
Wednesday, April 1 The kth svd approximation as "best" rank k approximation of A, cont.   Redo of problem # 3 from Theoretical Issues and the SVD homework due.
Friday, April 3

Exploring some properties of the best rank k approximation of A.

Introducing Project "Matrix Approximation and Image Processing."

   
 
Monday, April 6 Best rank k approximation and the Frobenius metric: Matrix Approximation and Image Processing, cont.   Exploring best rank k and Frobenius metric homework, due.
Wednesday, April 8 Work day on "Matrix Approximation and Image Processing."    
Friday, April 10 Ill-conditioned matrices---square, invertible matrices    
 
Monday, April 13 Ill-conditioned matrices and the svd    
Wednesday, April 15 Review of the svd   Matrix Approximation and Image Processing Project, due by 4 p.m.
Friday, April 17

Test # 2

Homework on ill-conditioned matrices and the svd.
 
Monday, April 20 3D and the svd---project # 2.    
Wednesday, April 22      
Friday, April 24      
 
Monday, April 27      
Wednesday, April 29      
Friday, May 1      
 

Final Examination

Thursday, May 7 from 6:30-9:30 p.m.

(Note: This is the scheduled time for the Period 2 courses)