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Analysis II

Code: M1015     Acronym: M1015     Level: 100

Keywords
Classification Keyword
OFICIAL Mathematics

Instance: 2020/2021 - 2S Ícone do Moodle Ícone  do Teams

Active? Yes
Responsible unit: Department of Mathematics
Course/CS Responsible: Bachelor in Physics

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
L:B 0 Official Study Plan 3 - 9 84 243
L:F 76 Official Study Plan 1 - 9 84 243
2
L:G 1 study plan from 2017/18 2 - 9 84 243
3
L:Q 0 study plan from 2016/17 3 - 9 84 243
MI:EF 88 study plan from 2017/18 1 - 9 84 243
Mais informaçõesLast updated on 2021-06-02.

Fields changed: Components of Evaluation and Contact Hours, Resultados de aprendizagem e competências

Teaching language

Suitable for English-speaking students

Objectives





To introduce the concepts and basic results of Vector Analysis.





Learning outcomes and competences





Upon successful course completion, the student should know: the meaning of eigenvalues and eigenvectors of an endomorphism of a vector space; to identify the graphs of quadratic equations in two and three real variables; the fundamental results concerning the analysis of multivariate functions and understand the concepts of partial derivative, gradient vector, local maxima and minima, tangent plane to the graph of functions of two variables being able to determine extreme values of constrained functions. The student should also know the methods of multiple integration and use them to determine areas, volumes, etc, of bounded plane or space regions, using change of variables if necessary.





Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Students are expected to have previously acquired basic knowledge of Linear Algebra (matrices, vector spaces) and Calculus of functions of one real variable.

Program

1. Eigenvalues and eigenvectors of an endomorphism of a vector space. Euclidean spaces. DIagonalization of symmetric matrices. Conic sections and quadratic surfaces in the space. Diagonalization of quadratic forms.

2. Differential calculus of vector-valued multivariate functions. Graphs, contour lines and level surfaces. Open and closed subsets, accumulation and isolated points. Limits and continuity. Directional and partial derivatives. Gradient vector of a real valued multivariate function. Derivability. Tangent plane to the graph of a function of two variables. Normal line and tangent hiperplane at a point on the level surface of a function. Jacobian matrix. Derivation of composition of functions. Inverse and implicit function theorems. Maxima and minima of real-valued multivariate functions.

3. Multiple integrals. Definition of integral of a multivariate real-valued function over a bounded region. Fubini's theorem. Computation of integrals via iterated integrals. Change of coordinates. Double integrals in polar coordinates, triple integrals in cylindrical and spherical coordinates.

4. Applications to Physics.

Mandatory literature

James Stewart; Calculus early transcendentals, Cengage, 2016. ISBN: 978-1-285-74155-0 (8th Edition)

Complementary Bibliography

Marsden Jerrold; Calculus iii. 2nd ed. ISBN: 0-387-90985-0
Lang Serge; Calculus of several variables. ISBN: 0-387-96405-3
George Arfken Hans Weber Frank E. Harris; Mathematical Methods for Physicists, Academic Press, 2012. ISBN: 9780123846549
Sokolnikoff I. S.; Mathematics of physics and modern engineering
Fleming Wendell; Functions of several variables. ISBN: 0-387-90206-6
P. C. Matthews; Vector calculus, Springer, 2005. ISBN: 3-540-76180-2
Bressoud David M.; Second year calculus. ISBN: 0-387-97606-X
Arfken George B.; Mathematical methods for physicists. ISBN: 0-12-059825-6
W. F. Trench; Introduction to real analysis, Mathematics Commons, 2013 (http://digitalcommons.trinity.edu/mono/7/)
K. Kuttler; Calculus - Theory and Applications, Vol. 2, World Scientific, 2011. ISBN: 978-981-4329-70-5
Michael Spivak; Calculus on manifolds

Teaching methods and learning activities

Lectures where the professor presents the course material and tutorials for the discussion and solution of problems.

keywords

Physical sciences > Mathematics > Mathematical analysis

Evaluation Type

Distributed evaluation with final exam

Assessment Components

designation Weight (%)
Exame 40,00
Teste 60,00
Total: 100,00

Amount of time allocated to each course unit

designation Time (hours)
Estudo autónomo 159,00
Frequência das aulas 84,00
Total: 243,00

Eligibility for exams

Unconditional.

Calculation formula of final grade

60% for the midterm tests, 40% for the final exam.

Classification improvement

During the semester, the rules are those indicated in the formula of computation of the final grade. After that, the general relevant rules apply.

Observations

Stude ts with a grade of at least 18 may be asked to take an additional exam to confirm their grade. Students with a grade of 8 or 9 may also be invited to take an additional exam as an opportunity to the grade of 10.
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