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SYLLABUS

                                                      Linear Algebra

            Objectives: This course is designed for theoretical study of vector spaces, bases and dimension, subspaces, linear transformations,
            dual spaces, Elementary Canonical forms, rational and Jordan forms, inner product spaces, spectral theory and bilinear forms.
            It should be noted that the successful student will be able to prove simple theorems in the subject.


               Sr. No.                                      Description

                  1      Vector Space over fields, Subspaces, Bases and Dimension, Coordinates, Summary

                         of Row-Equivalence, Computation Concerning Subspaces


                  2      Linear Transformations, The algebra of linear transformations, The transpose of a
                         linear transformation, Isomorphism, Representation of Transformation by matrices


                  3      Linear  Functional,  The  double  dual,  Introduction  and  Characteristic  Values,

                         Annihilating Polynomials

                  4      Invariant  Subspaces,  Simultaneous  triangulation,  Simultaneous  diagonalization,

                         Direct-Sum Decompositions


                  5      Invariant Direct Sums, The Primary Decomposition Theorem, Cyclic Subspaces and
                         Annihilators, Cyclic Decomposition and the rational Form


                  6      The Jordan Form, Computation of Invariant Factors, Semi-Simple Operators

                  7      Inner  product,  Inner  Product  Space,  Linear  Functional  and  Adjoints,  Unitary

                         Operators, Normal Operators


                  8      Introduction, Forms on Inner Product Spaces, Positive Forms, More on Forms

                  9      Spectral Theory, Properties of Normal operators


                 10      Bilinear  Forms,  Symmetric  Bilinear  Forms,    Skew-Symmetric  Bilinear  Forms,
                         Groups Preserving Bilinear Forms
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