Learning objectives
Students must demonstrate sufficient knowledge and understanding of the basic results of multivariable calculus and ordinary differential equations. Lectures emphasize concrete computations over more theoretical considerations with little emphasis on exceptional cases.
In particular, students must
1. exhibit sufficient conceptual understanding and good computational fluency in standard cases;
2. be able to exploit tools from multivariable calculus and ordinary differential equations for solving problems ranging from simple to medium difficulty;
3. be able to evaluate coherence and correctness of results obtained by themselves or by others;
4. be able to communicate in a clear and precise way the subjects of lectures using the appropriate scientific lexicon;
5. be able to read scientific and technical books or articles which exploit tools from multivariable calculus and ordinary differential equations.
Prerequisites
Solid knowledge of single-variable calculus and linear algebra.
Course unit content
Multivariable differential and integral calculus and ordinary differential equations.
Full programme
1) Linear algebra and topology.
Linear algebra and geometry: vector spaces, norm, scalar product and Cauchy-Schwarz inequality; matrices, eigenvalues and diagonal form of symmetric matrices, quadric forms; basic results of analytical geometry in space.
Topology: interior, limit and bundary points; open and closed sets; compact sets and connected sets.
2) Multivariable differential calculus.
Limits and continuity: limits for functions of several variables; continuous functions of several variables; Weierstrass' and intermediate values theorems.
Multivariable calculus: directional and partial derivatives, differentiability of scalar and vector valued functions, gradient; tangent plane, tangent and normal vectors; chain rule; functions of class C^1; inverse function theorem and diffeomorphisms.
Functions of class C^2: Schwarz's theorem and hessian matrix; second order Taylor's formula.
Optimization: local and global minima and maxima, saddle points; necessary and sufficient conditions for optimality.
Surfaces: implicit function theorem, Lagrange's multipliers.
3) Curves and vector fields.
Curves: simple, closed and smooth curves, length of a smooth curve.
Vector fields: line integral; potentials; irrotational vector fields.
4) Multiple integrals
Integration: measurable sets and Lebesgue's measure of sets; definition of integrable functions and integral; dimensional reduction and Fubini--Tonelli's theorem.
Change of variable formula: geometrical meaning of jacobian, spherical and cylindrical coordinates.
5) Ordinary Differential Equations
Ordinary differential equations: definitions and examples; local existence and uniqueness of solutions; maximal and global solutions; solution methods for linear, separable and Bernoulli's equations.
Second order linear differential equations: fundamental system of solutions, Lagrange's variation of parameters.
Bibliography
P. CELADA "Lezioni di analisi matematica 2", Seconda Ed., Uninova Parma 2022
Teaching methods
In-person instruction through lectures (4 hours per week) and exercise sessions (4 hours per week).
Assessment methods and criteria
The method of assessment is traditional, i.e. through a written exam and an oral examination. There are no intermediate tests.
The written exam consists of open-ended exercises. The oral examination is subject to successful completion of the written exam (grade 16/30 or higher). A successful written exam is valid through the examination session (January-February and June-Sptember). The oral examination aims at assessing knowledge and comprehension of the subjects of lectures. The final grade is the average of the grades of the written and oral exams.
Written and oral exams will be in-person.
Other information
The course will be quite fast-paced and it is essential to work steadily throughout the semester. Attendance at classes is strongly recommended.
2030 agenda goals for sustainable development
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