Linear Algebra and Analytical Geometry
Keywords |
Classification |
Keyword |
OFICIAL |
Mathematics |
Instance: 2007/2008 - 1S
Cycles of Study/Courses
Teaching language
Portuguese
Objectives
SPECIFIC AIMS:
This discipline has two main objectives: the promotion of logical reasoning and methods of analysis and the introduction and theoretical development of a set of concepts that will be fundamental to support the study of other disciplines along this course of studies.
LEARNING OUTCOMES:
At the end of this, students should be capable of:
1) Knowing vector algebraic operations, their properties and how to apply them;
2) Define vector space, vector subspace and Euclidian subspace;
3) Define linear combination of vectors, linear independence and subspace spanned by a set of vectors;
4) Define a basis and dimension of vector space; obtain the coordinates of a vector with respect to a given basis;
5) Define line and plane, properties and represent lines and planes;
6) Solve problems with lines and planes, such as distances, angles and relative positions;
7) Knowing basic matrix operations, properties and operations;
8) Define and calculate the rank of a matrix;
9) Define nonsingular matrix, properties of the inverse of a matrix and calculate the inverse of a matrix;
10) Define determinant of a matrix, properties and calculate it;
11) Analyse and solve linear systems of equations;
12) Define linear transformations, define and calculate kernel and algebraic operations;
13) Define change-of-basis matrix and apply it to problems with vector spaces and linear transformations;
14) Calculate eigenvalues and eigenvectors of linear transformations and knowing properties.
Program
Vector Algebra - The vector space of n-uples of real numbers. The dot product. Norm of a vector. Orthogonality and angle between two vectors. The linear span of a finite set of vectors. Linear independence and dependence. Bases and dimension in vector spaces. The cross product. The scalar triple product. Applications of Vector Algebra to Analytic Geometry - Lines in n-space. Properties of straight lines. Lines and vector valued functions. Linear Cartesian equations for straight lines. Planes in n-space. Properties of planes. Normal vectors to planes. Planes and vector valued functions. Linear Cartesian equations for planes. Geometric applications to three-dimensional space. Matrices - Algebraic operations. Transpose of a matrix. Square matrices: definitions and special properties. Rank of a matrix. Inverse of a square matrix. Determinants - Definition and properties. Minors and cofactors. The Laplace theorem. Computation of determinants. The determinant of the inverse of a non-singular matrix. Evaluation of the rank of a matrix with determinants. Systems of Linear Equations - Gauss and Gauss-Jordan methods. Cramer´s rule.
Linear Spaces - Definition and properties. Subspaces of a linear space. Dependent and independent sets in a linear space. Bases and dimension. Inner products. Euclidean spaces. Norms and orthogonality. Linear Transformations and Matrices - Definition. Null space and range. Nullity and rank. Algebraic operations. Inverses. One-to-one linear transformations. Matrix representation of linear transformations. Matrices representing the same linear transformation. Similar matrices. Eigenvalues and Eigenvectors - Definition and properties. Linear transformations with similar diagonal matrix representations.
Mandatory literature
Apostol, Tom M.;
Calculus. ISBN: 84-291-5001-3
J.A. Trigo Barbosa, J.M.A. César de Sá, A.J. Mendes Ferreira;; ALGA - Exercícios Práticos , N (Obra a adquirir na reprografia da FEUP)
Barbosa José Augusto Trigo;
Noções sobre matrizes e sistemas de equações lineares. ISBN: 972-752-069-3 972-752-065-0
J.A. Trigo Barbosa; ; ALGA - Apontamentos Teórico-Práticos , N (Obra a adquirir na reprografia da FEUP)
Anton, Howard;
Elementary linear algebra. ISBN: 0-471-44902-4
Teaching methods and learning activities
Theoretical classes: detailed exposition of the program of the discipline illustrated by application examples. Theoretical-practice classes: application of the theoretical concepts in the resolution of several exercises that can be found in the proposed literature.
Evaluation Type
Distributed evaluation without final exam
Assessment Components
Description |
Type |
Time (hours) |
Weight (%) |
End date |
Subject Classes |
Participação presencial |
78,00 |
|
|
Examinations |
Exame |
3,00 |
|
2008-01-18 |
|
Total: |
- |
0,00 |
|
Amount of time allocated to each course unit
Description |
Type |
Time (hours) |
End date |
Study and problems solving |
Estudo autónomo |
81 |
2008-01-18 |
|
Total: |
81,00 |
|