• Maria Cameron Receives the 2024 MURI Award

    Congratulations to Maria Cameron for her MURI award. MURI are multidisciplinary university research initiative grants that are awarded by the department of defense. Cameron’s grant is sponsored by the office of naval research. Her team includes Balakumar Balachandran (ME) and Miao Yu (ME). This is a project on “disorder-influenced collective Read More
  • A $27.2M Gift to the Math Department by the Brin Family

    The university announced today a big gift to the Math Department. The very generous gift of $27.2M was made by Michael & Eugenia Brin. The gift will endow the Brin Mathematics Research Center, establish an endowed chair, and launch a summer camp for high school students. The official university’s press Read More
  • 2023 Putnam Competition Result

    We very excited to report that our Putnam team ranked 8th, honorable mention, among 471 institutions in the 2023 Putnam math competition.Our team members this year were Vincent Trang, Daniel Yuan, Omar Habibullah, and Andrew Parker.Vincent Trang ranked 43rd and Daniel Yuan ranked 64th among 3,857 participants. Read More
  • Simons Fellows - Darvas, Kanigowski, Rubinstein

    Congratulations to Tamas Darvas, Adam Kanigowski, and Yanir Rubinstein for being named Simons Fellows. Read More
  • Doron Levy is elected 2024 Class of Fellows of the AMS

    Congratulations to Dr. Doron Levy, as Fellow of the American Mathematical Society, Class of 2024 (https://www.ams.org/cgi-bin/fellows/fellows_by_year.cgi)!  Dr. Levy was elected  ``For his contributions to Mathematical Oncology and Mathematical Biology".  Read More
  • 1
  • 2
  • 3
  • 4
  • 5

Description

Basic concepts of linear algebra: vector spaces, applications to line and plane geometry, linear equations and matrices, similar matrices, linear transformations, eigenvalues, determinants and quadratic forms. All sections of the course will use the software system MATLAB. Credit will be granted for only one of the following: MATH 240 or MATH 341 or MATH 461.

Prerequisites

a C- or better in (MATH 131 or MATH141)

Topics

Systems of Linear Equations

Gaussian elimination
Matrix operations
Finding the inverse
Solution spaces

Determinants

Definition
Evaluation
Minors
Cramer's Rule

Vectors in 2- and 3- space

Geometric and algebraic definitions
Dot product
Projections

Vector Spaces

Euclidean space
Subspaces
Linear independence
Basis and dimension
Row space, rank
Length and angle
Gram-Schmidt
Least squares

Linear Transformations

Definition
Kernel and range
Representation as matrices

Eigenvalues and Eigenvectors

Definition
Diagonalization
Orthogonal diagonalization
Symmetric matrices

Applications

Differential equations
Quadratic forms
Numerical methods

  • 1
  • 2