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Linear algebra

This course is part of the programme
Physics and astrophysics first cycle

Objectives and competences

Introduction to the finite dimensional vector spaces, linear operators, spectral theory of linear operators, analitical geometry.

Prerequisites

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Content

  1. Matrices
    (addition and multiplication of matrices; reduction of matrices; rank of a matrix; triangular matrices; determinants and their properties; the Laplace expansion; inverse matrices; the general linear group GL(n))

  2. Systems of linear equations
    (Gauss elimination method; equivalent linear systems; the Rouche'-Capelli theorem; homogeneous systems.)

  3. Vector spaces
    (definition and basic properties; subspaces; linear combinations; linear independence; the direct sum of subspaces; basis and dimension; Grassmann theorem.)

  4. Euclidean vector spaces
    (definition of scalar product and basic properties; bilinear forms; the isotropic cone; orthonormal basis; Gram-Schmidt method; orthogonal projections; orthogonal matrices and isometries.)

  5. Linear maps (transformations) (definition and basic properties; kernel and image; isomorphisms; matrix of a linear transformation; composition of linear maps; change of basis in a vector space.)

  6. Eigenvalues and eigenvectors
    (definition and characteristic polynomial; similar matrices; diagonalization of an endomorphism; the Jordan normal form; diagonalization of symmetric matrices.)

  7. Notions of Affine Linear Geometry
    (Lines and planes in the affine space; Euclidean affine spaces; cross and mixed product; orthogonality and distance between linear affine varieties.)

Intended learning outcomes

Students will be able to:
- do operations with matrices
- calculate determinants
- solve linear systems
- determine a basis and the dimension of a vector space
- determine the coordinates of a vector with respect to a basis of a vector space
- calculate the kernel and image of a linear transformation
- find the eigenvalues and eigenvectors of a matrix
- diagonalize a symmetric matrix
- solve problems with vectors, lines and planes in the space

Readings

• P. R. Halmos, "Finite-Dimensional vector spaces" (Springer, 1993). Catalogue E-version
• G. Landi and A. Zampini, "Linear algebra and analytic geometry for physical sciences" (Springer, 2018). Catalogue

Assessment

  • written tests, written exam
  • oral exam

Lecturer's references

Dr. Irina Elena Cristea je izredna profesorica za področje matematike na Univerzi v Novi Gorici.
Dr. Irina Elena Cristea is an Assistant professor of mathematics at the University of Nova Gorica.