Unit GEOMETRY
- Course
- Building engineering and architecture
- Study-unit Code
- GP004889
- Curriculum
- In all curricula
- Teacher
- Marco Buratti
- Teachers
-
- Marco Buratti
- Hours
- 54 ore - Marco Buratti
- CFU
- 6
- Course Regulation
- Coorte 2020
- Offered
- 2020/21
- Learning activities
- Base
- Area
- Discipline matematiche per l'architettura
- Academic discipline
- MAT/03
- Type of study-unit
- Obbligatorio (Required)
- Type of learning activities
- Attività formativa monodisciplinare
- Language of instruction
- Italian
- Contents
- Linear algebra.
Elementary analytic geometry. - Reference texts
- K.W. Gruenberg and A.J. Weir, Linear Geometry. GTM, Springer-Verlag, New York, 1977.
- Educational objectives
- Acquisition of the geometrical thought through algebraic tools.
- Prerequisites
- Polynomial factorizations. Solutions of the algebraic equations of the first and second degree. Binomial and trinomial equations. Equations solvable by applying Ruffini's rule. Elementary analytic geometry in the plane. Trigonometry.
- Teaching methods
- Frontal lectures. Only some results of Linear Algebra will be proved. All results of Geometry will be rigorously proved. At te same time many exercises will be presented and solved.
- Other information
- Attendance is not mandatory but highly recommended!
- Learning verification modality
- Two hours of class-work with 8 exercises: 4 exercises about linear algebra; 2 exercises about elementary analytic geometry in the space; 2 exercises about the sphere and/or the circle in the space. Then fifteen/thirty minutes of oral examination.
- Extended program
- Linear Algebra. Vector spaces. Linear independence. Steinitz Lemma. Bases. Theorem on the equicardinality of the bases. Dimension. Every independent set is contained in a suitable base. Subspaces. Intersection and sum of subspaces. Grassmann Theorem. Linear applications. Kernel and Image. Fundamental Theorem on the isomorphism between vector spaces. The vector sapce of real matrices of type m x n. Product between matrices. Matrix associated with a linear application. Determinant. Inverse matrix. Rank of a matrix. Linear systems. Rouché-Capelli Theorem. Homogeneus linear systems. The space of all solution of a homogeneous linear system. Cramer Theorem. General algorithm for determining the set of all solutions of a linear system.
Geometry in the plane and in the space. Cartesian coordinates. Oriented segments. Geometric vectors. Parallel and coplanar vectors. Components of a vector. Parametric equations of a line. Equation of a plane. Intersection and parallelism between planes. Cartesian equations of a line. Sheaf of planes. Intersection and parallelism between a line and a plane. Intersection and parallelism between lines. Coplanar lines. Inner product. Distance between two points. Angle between two lines. Distance between a point and a plane. Angle between two planes. Angle between a line and a plane. Distance between a point and a line. Distance between two lines. Sphere. Circle in the space.