Course11110809860 lectures
Linear Algebra
Prof. Dilip P. Patil · IISc Bangalore
About
The main purpose of this course in the study of linear operators on finite dimensional vector spaces. The idea is to emphasize the simple geometric notions common to many parts of mathematics and its applications. Except for an occasional reference to undergraduate mathematics, the course will be self-contained. The algebraic co-ordinate free methods will be adopted through out the course. These methods are elegant and as elementary as the classical as coordinatized treatment. The scalar field will be arbitrary (even a finite field), however, in the treatment of vector spaces with inner products, special attention will be given to the real and complex cases. Determinants via the theory of multilinear forms. Variety of examples of the important concepts. The exercises will constitute significant asstion ; ranging from routine applications to ones which will extend the very best students.
INTENDED AUDIENCE : BSc / BE /ME/ MSc / PhD
PREREQUISITES : Language of Set Theory; Elementary Algebra and Calculus
Lectures
Week1
- Introduction to Algebraic Structures - Rings and Fields
- Definition of Vector Spaces
- Examples of Vector Spaces
- Definition of subspaces
- Examples of subspaces
Week 2
- Examples of subspaces (continued)
- Sum of subspaces
- System of linear equations
- Gauss elimination
- Generating system , linear independence and bases
Week3
- Examples of a basis of a vector space
- Review of univariate polynomials
- Examples of univariate polynomials and rational functions
- More examples of a basis of vector spaces
- Vector spaces with finite generating system
Week 4
- Steinitzs exchange theorem and examples
- Examples of finite dimensional vector spaces
- Dimension formula and its examples
- Existence of a basis
- Existence of a basis (continued)
Week 5
- Existence of a basis [continued]
- Introduction to Linear Maps
- Examples of Linear Maps
- Linear Maps and Bases
- Pigeonhole principle in Linear Algebra
Week 6
- Interpolation and the rank theorem
- Examples
- Direct sums of vector spaces
- Projections
- Direct sum decomposition of a vector space
Week 7
- Dimension equality and examples
- Dual spaces
- Dual spaces (continued)
- Quotient spaces
- Homomorphism theorem of vector spaces
Week 8
- Isomorphism theorem of vector spaces
- Matrix of a linear map
- Matrix of a linear map (continued)
- Matrix of a linear map [continued]
- Change of bases
Week 9
- Computational rules for matrices
- Rank of a matrix
- Computation of the rank of a matrix
- Elementary matrices
- Elementary operations on matrices
Week 10
- LR decomposition
- Elementary Divisor Theorem
- Permutation groups
- Canonical cycle decomposition of permutations
- Signature of a permutation
Week 11
- Introduction to multilinear maps
- Multilinear maps (continued)
- Introduction to determinants
- Determinants (continued)
- Computational rules for determinants
Week 12
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IISc Bangalore
- Department
- Mathematics
- Teacher
- Prof. Dilip P. Patil
- Level
- Undergraduate
- Language
- English
- Subjects
- Mathematics
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
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