Mathematical Analysis
- Overview
- Assessment methods
- Learning objectives
- Contents
- Full programme
- Bibliography
- Teaching methods
- Contacts/Info
The following basic knowledges are required: equations and inequalities, polynomial division, trigonometry, analytic geometry (line and parabola).
Written and oral exam (to be eligible for the oral part, a student must get at least 15 over 30 points in the written part). Students who hand in assigned homework might gain up to 2 extra-points at the written exam in June-July
The course has the purpose to provide the students with both theoretical and practical tools of basic mathematical analysis with special attention to the study of a real function in one real variable, to numerical sequences and series and to the theory of Riemann integrable functions. At the end of this course the students will be able to:
1. identify and properly define the provided theoretical concepts;
2. understand and present with an adequate formalism the given results and the introduced techniques;
3. replicate short proofs and provide examples and counterexamples;
4. use the fundamental calculus techniques for solving exercises that involve the study of a function or the behavior of a series, as well as the computation of limits, derivatives and integrals.
Moreover, at the end of this course the students will have acquired a mathematical formalism and a rigorous scientific methodology that they will be able to apply to the other subjects encountered during their studies.
The contents of the lectures and related exercises sessions are:
Preliminaries on sets and functions (10 hours, learning objectives 1,3)
- Recap on the rational and real numerical sets and their properties
- Notion of infimum/supremum, minimum/maximum of a set
- Notion of function and its properties
- Elementary functions: modulus, power function, exponential function, logarithmic function, inverse trigonometric functions
Limit of a sequence (8 hours, learning objectives 1-4)
- Convergent, divergent, oscillating, bounded sequences and uniqueness of the limit
- Operations with limits and indeterminate forms
- Main theorems about the limit of sequences (e.g., squeeze theorem, permanence of sign, limit of monotone sequences)
- The number of Nepero as limit of a certain sequence
- Infinite/Infinitesimal sequences and use of the asymptotic
- Notion of subsequences and their usage to prove the oscillating character of a sequence
Limit of a function (12 hours, learning objectives 1-4)
- Definition of limit of a function and relation with the limit of a sequence
- Extension of the main theorems on the limit of sequences to the case of a generic function
- Order of infinite/infinitesimal of a function, asymptotic analysis and “little-o” notation
- List of limits for common functions and their formulation as asymptotic relations or by using the “little-o” notation
- Use of the limits to compute the asymptotes of a function
Continuous functions of one real variable (6 hours, learning objectives 1-4)
- Continuity at one point and classification of the discontinuity
- Continuity vs algebraic operations, composition, inversion and monotonicity
- Main theorems concerning continuous functions defined over an interval
Differential calculus (16 hours, learning objectives 1-4)
- Notion of derivative given by its geometrical interpretation and classification of non-differentiability points
- Differentiability and continuity
- Differentiability vs algebraic operations, composition, inversion and monotonicity
- Critical points and search for local extrema
- Main theorems concerning differentiable functions defined over an interval
- De L'Hospital’s rule and its usage to compute limits and derivatives
- Convex/concave functions and their geometric interpretation, inflection points and relation with the sign of the second derivative
- Recap of the steps that characterize the study of a function
- Taylor and MacLaurin polynomials as application of higher-order derivatives and as tool for computing limits of functions
Integration (12 hours, learning objectives 1-4)
- Definition of the Riemann integral by means of inferior and superior sums and its properties
- Integral functions and the fundamental theorem of calculus as a tool for computing integrals through the notion of antiderivative
- Methods of integration by parts and by substitution
Numerical series (6 hours, learning objectives 1-4)
- Series as the limit of the sequence of the partial sums
- Some known series: Mengoli, geometrical, harmonic series
- Necessary condition of convergence
- Series with nonnegative terms and related sufficient convergence criteria
- Series with non-constant sign addends and notion of absolute convergence
- Alternating series and Leibniz criterion
Complex numbers (4 hours, learning objectives 1-3)
- Algebraic and trigonometric form of a complex number
- Operations with complex numbers, modulus, power and conjugate of a complex number
- Roots of a complex number and mention to the fundamental theorem of algebra
Introduction: Number sets. Rational and real numbers. Density property. Intervals. Absolute value and its properties. Supremum and infimum. Powers and roots. Powers with real exponent (4 hours)
Functions: Functions, domain, codomain, image and graph. Bounded, injective, surjective and bijective functions. Composed function. Inverse function. Monotonic functions. Even, odd and periodic functions. Exponential and logarithmic functions. (6 hours)
Limits: Euclidean distance. Neighbourhoods. Accumulation and isolated points. Open and closed sets. Interior, exterior and boundary points. Definition of limit (various cases). Uniqueness of limit (proof). Limit from the right and from the left. Theorem of permanence of sign for limits (proof).Comparison theorem (dim.). Convergent functions are eventually bounded (proof). Local maxima and minima. Algebra of limits. Indeterminate forms. Limits of composed functions. Particular limits (proof). (6 hours)
Sequences: Convergent, divergent and irregular sequences. Permanence of sign. Convergent sequences are regular. Comparison theorem. Limits of monotonic sequences. Nepier’s number. Limits of subsequences. Infinities and infinitesimals Comparison of infinities and infinitesimals. Order of infinity and of infinitesimal. Asymptotic behaviour (6 hours)
More about limits of functions: Particular limits (proof). “Bridge” theorem and its consequences. Indeterminate forms. Asymptotes. (2 hours)
Continuous functions of one real variable: Definition of continuous function. Continuity from the right and from the left. Theorem of permanence of the sign for contnuous functions (proof).Composition of continuous functions. Points of discontinuity. Continuity of monotonic functions. Theorem of zeros (proof).Corollary (proof).Intermediate values theorem (proof).Relationship between invertibility and monotonicity for continuous functions. Continuity of inverse function. Weierstrass’ theorem. (12 hours)
Differential calculus: Secant and tangent line. Difference quotient and derivative. Geometric meaning of the derivative. Derivative of elementary functions. Differentiable functions are continuous (proof).Functions of class C1 . Points with vertical tangent line. Right and left derivatives and their geometric meaning. Edges and cusps. Algebra of derivatives. Derivative of a product (proof).of a ratio (proof).and of composed function (proof).Derivative of inverse function (proof).Derivative of log(x), arcsin(x), arccos(x),arctan(x) . Derivative of log|x|, loga|x|,ax . Fermat’s theorem (proof).Stationary points. Local extreme point of a function. Rolle’s theorem (proof).Lagrange’s mean value theorem (proof).Monotonic behaviour of a function and sign of its derivative (proof).Theorem of de l'Hopital. Corollary to the theorem of de l'Hopital (proof).Derivatives of higher order. Convex and concave functions. Convex functions and continuity . Geometric meaning of convexity. Convexity and sign of the second derivative. Inflection points. Inflection points with vertical tangent line. Inflection points and second derivative. Study of the graph of a function. Taylor’s polynomial. MacLaurin ‘s polynomial of exponential, logarithmus, sine and cosine. Peano’s theorem. Consequences of Peano’s theorem (proof).Taylor’s polynomial in computation of limits of functions. Errors and Lagrange’s formula of remainder (16 hours)
Integration: Definition of Riemann integral. Superior and inferior sums. Integrability of continuous and bounded functions. Relationship between integral and area under the graph of a function. Properties of integrals. Mean value theorem (proof).Definition of integral function. Fundamental theorem of integral calculus (proof).Definition of primitive function. Primitive functions of a given function differ by an additive constant (proof).Computation of definite integral trough a primitive (proof).Indefinite integrals. Primitive functions of elementary functions. Integration by part (proof).Integration by substi
Analisi Matematica
F. Andreano
Università degli Studi dell'Insubria
Dipartimento di Informatica
McGraw-Hill Education
ISBN 978-13-089-8406-3
The text-book is a selection of chapters from Bertsch, Dal Passo, Giacomelli "Analisi Matematica", created by McGraw-Hill for this course.
Exercises available on e-learning
In class lessons, in class exercises, homework to hand in (not mandatory)
Office hours can be requested either directly or by sending an enail at federica.andreano@uninsubria.it