Linear Algebra

Matrices, linear systems, Gaussian elimination, vector spaces and subspaces, bases, rank of a matrix, linear transformations, nucleus and image, eigenvectors and eigenvalues, diagonalization, internal product, orthogonalization, projections, quadratic shapes.

Basic Information

Workload
90 hours
Requirements
Analytical Geometry

Mandatory: 

  • Poole, David. Linear Algebra, Thomson, 2004; 

  • Strang, Gilbert. Linear Algebra and its applications. Cengage Learning, 2009; 

  • Lima, Elon Lages. Linear algebra. IMPA, 2004. 

Complementary: 

  • Strang, G. Introduction to Linear Algebra,. Wellesley-Cambridge; 

  • Steinbruch, Alfredo; Winterle, Paulo. Linear algebra. Pearson, 2010; 

  • Da Fonseca, Manuel A.R. Linear Algebra Applied to Finance, Economics and Econometrics. Manole, 2003; 

  • Boldrini, J. L. and others. Linear algebra. Harbra, 1998; 

  • Lipschutz, Seymour; Lipson, Marc. Linear algebra. Schaum Collection, Bookman, 2004.