Learn · Advanced Engineering Mathematics
Lecture 4 of 42Linear Algebra
Linear Transformation, Isomorphism and Matrix Representation
Prof. J. Kumar and others · IIT Kharagpur
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- Advanced Engineering Mathematics, IIT Kharagpur (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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All the lectures
- Review Groups, Fields and Matrices
- Vector Spaces, Subspaces, Linearly Dependent/Independent of Vectors
- Basis, Dimension, Rank and Matrix Inverse
- Linear Transformation, Isomorphism and Matrix Representation
- System of Linear Equations, Eigenvalues and Eigenvectors
- Method to Find Eigenvalues and Eigenvectors, Diagonalization of Matrices
- Jordan Canonical Form, Cayley Hamilton Theorem
- Inner Product Spaces, Cauchy-Schwarz Inequality
- Orthogonality, Gram-Schmidt Orthogonalization Process
- Spectrum of special matrices,positive/negative definite matrices
- Concept of Domain, Limit, Continuity and Differentiability
- Analytic Functions, C-R Equations
- Harmonic Functions
- Line Integral in the Complex
- Cauchy Integral Theorem
- Cauchy Integral Theorem (Contd.)
- Cauchy Integral Formula
- Power and Taylor's Series of Complex Numbers
- Power and Taylor's Series of Complex Numbers (Contd.)
- Taylor's, Laurent Series of f(z) and Singularities
- Classification of Singularities, Residue and Residue Theorem
- Laplace Transform and its Existence
- Properties of Laplace Transform
- Evaluation of Laplace and Inverse Laplace Transform
- Applications of Laplace Transform to Integral Equations and ODEs
- Applications of Laplace Transform to PDEs
- Fourier Series
- Fourier Series (Contd.)
- Fourier Integral Representation of a Function
- Introduction to Fourier Transform
- Applications of Fourier Transform to PDEs
- Laws of Probability - I
- Laws of Probability - II
- Problems in Probability
- Random Variables
- Special Discrete Distributions
- Special Continuous Distributions
- Joint Distributions and Sampling Distributions
- Point Estimation
- Interval Estimation
- Basic Concepts of Testing of Hypothesis
- Tests for Normal Populations