Singapore University of Social Sciences

Advanced Linear Algebra

Advanced Linear Algebra (MTH208)

Applications Open: 01 October 2024

Applications Close: 15 November 2024

Next Available Intake: January 2025

Course Types: Modular Undergraduate Course

Language: English

Duration: 6 months

Fees: $1391.78 View More Details on Fees

Area of Interest: Science and Technology

Schemes: Alumni Continuing Education (ACE)

Funding: To be confirmed

School/Department: School of Science and Technology


Synopsis

MTH208e Advanced Linear Algebra introduces the abstract notion of field while providing concrete examples of linear algebra over the field of real numbers and the field of complex numbers. The course proceeds to focus on the Jordan canonical form. The main results on the existence and uniqueness of Jordan canonical form will be presented without proof. The course also defines the adjoint of a linear operator and normal operators and establishes the main results on normal operators, specialising to the cases of self-adjoint operators, orthogonal operators and unitary operators. Finally, the course ends with a discussion of symmetric bilinear forms and alternating bilinear forms.

Level: 2
Credit Units: 5
Presentation Pattern: EVERY JAN

Topics

  • Change of basis
  • Direct sum of vector spaces
  • Cayley-Hamilton Theorem
  • Minimal polynomial
  • Jordan canonical form
  • The adjoint of a linear operator
  • Normal operators
  • Self-adjoint operators
  • Orthogonal and unitary operators
  • Singular value decomposition
  • Symmetric bilinear forms
  • Alternating bilinear forms

Learning Outcome

  • Determine whether two given square matrices are similar.
  • Demonstrate properties of normal operators.
  • Employ properties of positive definite matrices.
  • Calculate Jordan canonical form of a given square matrix with complex entries over the complex numbers.
  • Compute matrix representation of a given linear operator with respect to a fixed basis or the change of basis matrix from one basis to another basis.
  • Show how to prove a mathematical statement in linear algebra.
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