Ada's homepage

Course material


Slides (from class)

Some suggested textbooks

-G. Strang, Inroduction to Linear Algebra, Wellesley-Cambridge Press, 2016.

-E. Carlini, LAG: the written exam, CLUT 2019.


Lecture notes

(please let me know if you find typos!)

Office hours:

  by appointment only, send me an email at ada.boralevi(AT)polito.it


Lectures' log (geometry), a.y. 2023-2024

Lecture

Date

Contents

Reference to notes and more

1 3/5 Matrices with real coefficients. Opposite and transpose of a matrix, properties. Square matrices: diagonal, triangular, symmetric, skew-symmetric. Linear algebra on a number field different from R. 1.1, 1.2
2.3
2-3 3/6 Matrix addition and scalar multiplication: definition and properties, examples. Product of matrices: definition and examples. Properties of the product of matrices. Invertible matrices and their properties: inverse of the transpose and the product, examples.
Linear equations and linear systems. Matrices associated to a linear system and matrix form.
2.1, 2.2
3.1

4 3/8 Linear equations, linear systems, solutions, associated matrices, examples. Homogeneous and compatible systems. Elementary row operations, pivots, row-echelon form. Equivalent matrices and equivalent linear systems. Examples of Gauss reduction.
3.1, 3.2
4.1


3/11 Exercise session led by Dr. Canino
5 3/12 Rank of a matrix. Examples and exercises on row reduction and rank computation. Solving a linear system: equivalent systems have equivalent associated matrices, Rouché-Capelli theorem, examples.

4.2
5.1
Homework solution
6-7 3/13 Matrix equations and solutions: computation of inverse matrix via row reduction. Invertible matrices have maximal rank. Row and column rank, rank of the transpose. Examples.
Determinants: submatrices, cofactors, examples. Laplace expansion along rows and columns. Determinant of the transpose matrix. Binet's theorem. Invertible matrices have nonzero determinant. Adjugate and cofactor matrix, computation of the inverse matrix using the adjugate, examples.
5.2, 5.3
6.1, 6.2, 6.3


8 3/19 Geometric vectors: segments, applied vectors, direction, orientation and length of a vector. Parallel and coplanar vectors. Cartesian systems of coordinates. Operations on vectors: sum and the parallelogram rule.

Quizzes on matrices and linear systems (quizzes file 1 without solutions).
71. 7.3, half of 7.4


9-10 3/20 Sum and difference of vectors, multiplication by a scalar, properties and geometric interpretation. Normalization of a vector. Characterization of parallel and coplanar vectors through rank. Dot (scalar) product: definition, examples, properties. Dot product and angles: parallel and orthogonal vectors. Chauchy-Schwartz and triangle inequality. Orthogonal projection. Examples and exercises.
7.4, 7.5
8.1


3/25 Exercise session led by Dr. Canino
11-12
3/27 Cross (vector) product: definition, geometric interpretation, properties, examples. Cross product and area of a triangle. Mixed product and volume of a tetrahedron. Some exercises on vectors.

Parametric equations of lines and planes in space, examples.
8.2, 8.3
9.1, 9.2


3/28-4/3: Easter break

13
4/9 Relative position of two lines in space. Cartesian equations of planes in space; switching from parametric to Cartesian equation and backwards. Examples and exercises.
9.1
10.1
14-15
4/10 Relative position of two planes in space and Cartesian equations of lines; switching from parametric to Cartesian equation and backwards. Relative position of linear objects in the space: a line and a plane and 2 lines. Examples and exercises.


10.2, 10.3
Homework solution


4/15 Exercise session led by Dr. Canino
16 4/16
Distance between two sets, definition. Distance of a point from a plane and from a line, examples.
11.1, 11.2
17-18 4/17
Distance of a plane from another plane and from a line, examples. Distance between two skew lines, examples.
Introduction to vector spaces.

Quizzes on lines and planes and distances (quizzes file 3 without solutions).
11.3, 11.4
Introduction to 12.1

19-20 4/24 Vector spaces and subspaces: definition, properties, examples. Union and intersection of subspaces, sum of subspaces, examples. Linear combinations, generators, finitely generated vector spaces: definitions and examples.
12.1, 12.2, 12.3
13.1
21 4/26



4/27: Midterm #1


4/29 Exercise session led by Dr. Canino
22 4/30



5/1: May Day

23 5/7


24-25 5/8



5/13 Exercise session led by Dr. Canino
26 5/14


27-28 5/15


29
5/21


30-31
5/22


32-33
5/29


34
5/31




6/1: Midterm #2


6/3 Exercise session led by Dr. Canino
35
6/4


36-37
6/5


38
6/7



6/10 Exercise session led by Dr. Canino
39
6/11


40-41
6/12






x2