Mathematical Methods Applied to Chemistry
A.Y. 2024/2025
Learning objectives
The course is intended to give a good knowledge of differential equations, multiple integration,potential theory and some of their connections.
Expected learning outcomes
Students will master concepts and computational techniques that are useful in the study of the solutions of some differential equations involved in mathematical models that describe some natural phenomena.
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course can be attended as a single course.
Course syllabus and organization
Single session
Responsible
Lesson period
First semester
Course syllabus
1] Differential calculus for functions of several real variables. Curves p: R¹→Rᵐ: orientation, arc-length , I-type line integrals and applications.
Functions f:Rⁿ→R: continuity, differenziability, second derivatives, Taylor's formula at II order.
Maps F:Rⁿ→Rᵐ: jacobian matrix, composition. Applications in R^3: polar and spherical coordinates. Surfaces. Free optimization: stationary points, hessian matrix, quadratic forms, the eigenvalues test. Constrained optimization: implicit functions, Dini's theorem. The Lagrange multipliers method.
2] Integral Calculus in 2 and 3 variables The basic properties of the Riemann integral for f:R²→R; iterated integrals for regular sets, measurable functions, sets of measure zero. Change of variables. Improper double integrals. The Riemann integral for f:Rᶟ→R: integration methods ("lines" or "layers"). I type surface integrals.
3] Vector fields F:Rᶟ→Rᶟ: the differential operators grad, div, rot and their properties. Line integrals of II type: the work of a vector field along a line. Conservative and irrotational vector fields, potentials, Poincaré`s lemma, simply connected sets. Surface integrals of II type. The flow of a vector field. Surfaces with boundary. Integral formulas: Gauss-Green's formula, the Divergence Theorem in dimensions 2 and 3, Stokes's theorem.
4] Differential equations: separable, linear of order 1, Bernoulli, linear of order 2. Lagrange's method. Constant coefficients linear equations. Harmonic oscillators. Few hints about PDEs.
5] Depending on the amount of time left, an extra argument might be included in the programme. The content of this extra argument may vary from year to year, and it depends on the interest of the students.
Functions f:Rⁿ→R: continuity, differenziability, second derivatives, Taylor's formula at II order.
Maps F:Rⁿ→Rᵐ: jacobian matrix, composition. Applications in R^3: polar and spherical coordinates. Surfaces. Free optimization: stationary points, hessian matrix, quadratic forms, the eigenvalues test. Constrained optimization: implicit functions, Dini's theorem. The Lagrange multipliers method.
2] Integral Calculus in 2 and 3 variables The basic properties of the Riemann integral for f:R²→R; iterated integrals for regular sets, measurable functions, sets of measure zero. Change of variables. Improper double integrals. The Riemann integral for f:Rᶟ→R: integration methods ("lines" or "layers"). I type surface integrals.
3] Vector fields F:Rᶟ→Rᶟ: the differential operators grad, div, rot and their properties. Line integrals of II type: the work of a vector field along a line. Conservative and irrotational vector fields, potentials, Poincaré`s lemma, simply connected sets. Surface integrals of II type. The flow of a vector field. Surfaces with boundary. Integral formulas: Gauss-Green's formula, the Divergence Theorem in dimensions 2 and 3, Stokes's theorem.
4] Differential equations: separable, linear of order 1, Bernoulli, linear of order 2. Lagrange's method. Constant coefficients linear equations. Harmonic oscillators. Few hints about PDEs.
5] Depending on the amount of time left, an extra argument might be included in the programme. The content of this extra argument may vary from year to year, and it depends on the interest of the students.
Prerequisites for admission
It is strongly suggested that the student has already passed the exam "Istituzioni di Matematica".
Teaching methods
Frontal teaching. Problem sessions. Homeworks are assigned, and their solution is discussed within the problem sessions.
Teaching Resources
- M. Bramanti, C. Pagani, S. Salsa, Analisi Matematica 2, Zanichelli ed.;
- G. Turrell, Mathematics for Chemistry and Physics, AcademicPress, 2002.
- other possible notes written by the teacher.
- G. Turrell, Mathematics for Chemistry and Physics, AcademicPress, 2002.
- other possible notes written by the teacher.
Assessment methods and Criteria
The final examination consists of two parts: a written exam and an oral exam.
- During the written exam, the student is required to solve some exercises in the format of open-ended and/or short answer questions, with the aim of assessing the student's ability to solve problems in Mathematical Analysis. The duration of the written exam is proportional to the number of exercises assigned, taking into account the nature and complexity of the exercises themselves (however, the duration does not exceed three hours). In place of a single written exam given during the first examination session, the student may choose instead to take 2 midterm exams. The outcomes of these tests will be available in the SIFA service through the UNIMIA portal.
- The oral exam can be taken only if the written component has been successfully passed. In the oral exam, the student is required to illustrate results presented during the course and may be required to solve problems regarding Mathematical Analysis, in order to evaluate her/his knowledge and comprehension of the arguments covered as well as the capacity to apply them.
The complete final examination is passed if both parts (written and oral) are successfully passed. Final marks are given using the numerical range 0-30, and are communicated immediately after the oral examination.
- During the written exam, the student is required to solve some exercises in the format of open-ended and/or short answer questions, with the aim of assessing the student's ability to solve problems in Mathematical Analysis. The duration of the written exam is proportional to the number of exercises assigned, taking into account the nature and complexity of the exercises themselves (however, the duration does not exceed three hours). In place of a single written exam given during the first examination session, the student may choose instead to take 2 midterm exams. The outcomes of these tests will be available in the SIFA service through the UNIMIA portal.
- The oral exam can be taken only if the written component has been successfully passed. In the oral exam, the student is required to illustrate results presented during the course and may be required to solve problems regarding Mathematical Analysis, in order to evaluate her/his knowledge and comprehension of the arguments covered as well as the capacity to apply them.
The complete final examination is passed if both parts (written and oral) are successfully passed. Final marks are given using the numerical range 0-30, and are communicated immediately after the oral examination.
MAT/01 - MATHEMATICAL LOGIC
MAT/02 - ALGEBRA
MAT/03 - GEOMETRY
MAT/04 - MATHEMATICS EDUCATION AND HISTORY OF MATHEMATICS
MAT/05 - MATHEMATICAL ANALYSIS
MAT/06 - PROBABILITY AND STATISTICS
MAT/07 - MATHEMATICAL PHYSICS
MAT/08 - NUMERICAL ANALYSIS
MAT/09 - OPERATIONS RESEARCH
MAT/02 - ALGEBRA
MAT/03 - GEOMETRY
MAT/04 - MATHEMATICS EDUCATION AND HISTORY OF MATHEMATICS
MAT/05 - MATHEMATICAL ANALYSIS
MAT/06 - PROBABILITY AND STATISTICS
MAT/07 - MATHEMATICAL PHYSICS
MAT/08 - NUMERICAL ANALYSIS
MAT/09 - OPERATIONS RESEARCH
Practicals: 16 hours
Lessons: 40 hours
Lessons: 40 hours
Professors:
Vesely Libor, Vignati Marco
Shifts:
Educational website(s)
Professor(s)
Reception:
Wed, 12.30 am - 2.00 pm; otherwise, contact me via e-mail
Math Dept., via C.Saldini 50, room R013, ground floor