Linear Algebra, Math 405 Fall 2008
Course Information
- PREREQUISITES: MATH 240 or MATH 461
- Course Description: This course contains an abstract
treatment of finite dimensional vector spaces, linear transformations and their
invariants.
-
Contents
Vector spaces
Vector spaces and subspaces
Linear combinations, span and linear (in-)dependence
Note: On the transitivity of linear spans [
pdf file ]
Assignment #1 [
pdf file ] ... with answers [ pdf file]
Bases and dimension
Row equivalence in RN and rank
Coordinates
Note: An exchange theorem and the notion of dimension [
pdf file ]
Assignment #2 [ pdf file ] ... with answers [ pdf file]
Linear transformations
Linear transformations (homomorphism, isomorphism, ...)
Vector spaces of finite and infinite type; Rank and nullity, Sylvester theorem
(*) Direct sums and products of vector spaces
Assignment #3 [ pdf file ] ... with answers [ pdf file]
Matrix representation of linear transformations
Sum and product of matrices; change of bases
Note: On matrix representation of linear transformations [
pdf file ]
Assignment #4 [ pdf file ] ... with answers [ pdf file]
Linear functionals and duality
Assignment #5 [ pdf file ] ... with answers [ pdf file]
Midterm [ pdf file ] ... with answers [ pdf file]
Solution of linear systems of equations
Homogeneous and inhomogeneous systems
Determinants: definition and properties; Permutations and
evaluation
Elementary matrix operations
Invertible matrices; Cramer's rule
Assignment #6 [ pdf file ] ... with answers [ pdf file]
Inner Product Spaces
Inner product
Orthonormal Bases; Gram-Schmidt; direct decompositions
Bessel, Parseval and Cauchy-Schwartz (in-)equalities
Assignment #7 [ pdf file ] ... with answers [ pdf file]
Adjoints
Positive, unitary and normal operators
The spectral theorem
Note:
On the the orthogonal decomposition of Hilbert spaces
[ pdf file ]
Assignment #8 [ pdf file ] ... with answers [ pdf file]
Invariant decompositions
Direct sum decomposition's
Invariant subspaces
Eigenvectors and eigenvalues
Assignment #9 [ pdf file ] ... with answers [ pdf file]
Polynomials: the algorithm of Euclid; Factorization and (multiple) roots
Characteristic polynomial
Triangulation of matrices
Diagonalizable operators
Jordan canonical forms
Assignment #10 [ pdf file ] ... with answers [ pdf file]
Cayley-Hamilton: characteristic and minimal polynomials; companion matrix
Applications
Note:
Normal matrices are unitarily diagonalizable
[ pdf file ]
Assignment #11 [ pdf file ] ... with answers [ pdf file]
Bilinear forms
General forms
Symmetric forms
Sylvester theorem
Principle coordinates
Note:
Bilinear forms, quadratic forms and congruence
[ pdf file ]
Assignment #12 [ pdf file ] ... with answers [ pdf file]
Final ... [ pdf file ] ... with answers [ pdf file]
Euclidean geometry
3D vectors; scalar and vector products
Lines and relation between lines
Planes: definition and characterizations
Planes and lines
Change of coordinates; translation, rotation and reflection
References
(Partial List)
- Linear Algebra, 2nd Edition, by Hoffman & Kunze, Published by
Prentice Hall. ISBN: 0135367972
- Linear Algebra, 3rd Edition, by S. Lang, Published by Springer-Verlag.
ISBN: 0387964126
- Linear Algebra in Action
by Harry Dym, Graduate Studies in Math v. 78, American Math Society,
2007
- Linear Algebra,
by Peter Lax
- Applied Linear Algebra, by
Gilbert Strang
- Lecture Notes
Eitan Tadmor
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