Università Roma Tre

1- Linear systems: matrix associated to a linear system; sum of matrices and multiplication by real numbers; reduced matrices; Gauss-Jordan algorithm.
2- Rows by columns product of matrices; invertible matrices; rank of a matrix; Rouche'-Capelli Theorem.
3- Geometrical vectors. Vector spaces. Subspaces. Generating vectors and linearly independent vectors.
4- Basis of a vector space: dimension of a vector space; Grassmann's formula.
5- Linear applications: Kernel and image of a inear application. Dimension of Kernel and Image of a linear application.
6- Matrix associated to a linear application. Diagonalization of linear operators.

F. Flamini; A. Verra: "Matrici e vettori -Corso di base di geometria e algebra lineare" Carocci ed.

E. Schlesinger: "Algebra lineare e geometria". Zanichelli, 2011

E. Sernesi: "Geometria 1". Bollati Boringhieri, 2019

M. Abate, ‎C. De Fabritiis: "Geometria analitica con elementi di algebra lineare". McGraw-Hill Education, 2015