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Summary for Undergraduate Mathematical Analysis 1

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The course at Politecnico di Torino covers: Preliminaries: sets, operations with sets and logical symbols. Numerical sets, maxima, minima and extrema. The completeness property of real numbers and its consequences. Functions: surjectivity and injectivity; composition of functions, inverse functions. Functions of one real variable: elementary functions, monotone functions and inverse functions. (About 15 hours) Limits and continuity: limits of functions and sequences; continuity. Theorems on limits: uniqueness of the limit, sign-preserving property and local boundedness, comparison theorems. Limits of monotone functions. Algebra of limits. Indeterminate forms. Local comparison of functions. Landau symbols. Infinite and infinitesimal functions. Order of an infinity and of an infinitesimal, principal part with respect to a test function. Asymptotes. The number e. Fundamental trigonometric and exponential limits. Functions continuous over an interval: existence of zeros and of maxima and minima. (About 24 hours) Derivatives: geometrical and physical meaning. Computation of derivatives. Derivatives of elementary functions. Derivatives and continuity. Non-differentiability points, extremal and critical points. Fermat Theorem. Functions differentiable over an interval and fundamental theorems of differential calculus (Rolle and Lagrange) and their consequences. De L'Hôpital rule. Taylor formula and fundamental Maclaurin expansions. Use of Taylor expansions in the local analysis of functions: comparison, extrema and convexity. Applications to the study of the graph of a function. (About 23 hours) Primitives and their computation; primitives of rational functions. Definite integral. Properties of the integral. Integral mean, the mean value theorem and the Fundamental Theorem of Calculus. Relations between definite integrals and primitives. Improper integrals: definitions and convergence tests. (About 21 hours) This summary note is written for the students who are taking Calculus, or Mathematical Analysis in their undergraduate education(generally first year.) Summary covers up details, definitions, and some proofs of the subjects written above.

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MATHEMATICAL ANALYSIS I
Summary - v1.0.2




Basri Kerem Alhan
Selen Çelik
Zeynep Bıçakçıoğlu

Politecnico di Torino

,Chapter 1 - Sets of Numbers:

1.6: A subset A of R is called bounded from above or upper bounded if there exists a
real number b such that
x ≤ b, for all x ∈ A .
Applies for lower bound as well.

1.9: Let A ⊂ R be bounded from above. The supremum or least upper bound of A is
the smallest of all upper bounds of A, denoted by supA. The number s = supA is
characterised by two conditions:

i) x ≤ s for all x ∈ A;
ii) for any real r < s, there exists x ∈ A such that x > r.

Applies for infimum (greatest upper bound) as well.

Remark: Supremum may exists and not be a maximum, but when a maximum exists,
then it is also the supremum of the set.


(k)
n! n n(n − 1) . . . (n − k + 1)
1.11: Permutation, = Combination.
k!(n − k)! k!


Chapter 2 - Functions:


{−x i f x < 0;
x i f x ≥ 0,
2.1: The absolute value function: f : R → R, f (x) = | x | =


+1 i f x > 0,
The sign function: f : R → Z, f (x) = sign(x) = 0 i f x = 0,
−1 i f x < 0;

Floor function (Integer part): f : R → Z, f (x) = [x] = the greatest integer ≤ x

The mantissa: f : R → R, f (x) = M(x) = x − [x]

2.3: A map with values in Y is called onto if im f = Y. This means that each y ∈ Y is the
image of one element x ∈ X at least. The term surjective has the same meaning.

A function is called one-to-one or injective if every y ∈ im f is the image of a unique
element x ∈ dom f.

A function is invertible if it is bijective.

2.13: Even function (with respect to the y axis) if: f (−x) = f (x).
Odd function (with respect to the origin) if: f (−x) = −f (x).

, Chapter 3 - Vectors and Complex Numbers:

3.1: Polar Coordinates rcosθ, y = rsinθ

y
arctan x , i f . x > 0,
y
arctan x + π, i f x < 0, y ≥ 0,
y
3.2: r = x2 + y2, θ = arctan x − π, i f x < 0, y < 0
π
2
, i f x = 0, y > 0,
−π
2
, i f x = 0, y < 0.

3.3: The sum of vectors: v + w = (v1 + w1, . . . , vd + wd ) .
3.4: The product of vectors: λv = (λv1, . . . , λvd )

3.5: The Euclidean norm, or length, of a vector v with end-point P is defined:


d v12 + v22 i f d = 2,
vi2 =

||v|| =
i=1 v12 + v22 + v32 i f d = 3.

3.26: Real and Imaginary part of z:

z + z̃ z − z̃
ℜez = , ℑm z =
2 2i
3.30: Exponential form or Euler formula:

e θi = cosθ + isinθ.

3.31: Exponential form of z:

z = re iθ.

3.38: Additional forms:

e z = e x e iy = e x(cos y + isiny) .

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