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Iiser 2

This document contains information about a mathematics course on single variable analysis taught by Professor Abhijit Mookerjee at IISER Kolkata. It includes a brief biography of the professor, reference books for the course, and an introduction to key concepts in set theory such as defining sets, subsets, unions, intersections, complements and De Morgan's laws.

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0% found this document useful (0 votes)
213 views11 pages

Iiser 2

This document contains information about a mathematics course on single variable analysis taught by Professor Abhijit Mookerjee at IISER Kolkata. It includes a brief biography of the professor, reference books for the course, and an introduction to key concepts in set theory such as defining sets, subsets, unions, intersections, complements and De Morgan's laws.

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Copyright
© Attribution Non-Commercial (BY-NC)
We take content rights seriously. If you suspect this is your content, claim it here.
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M102 : Single Variable Analysis

Abhijit Mookerjee

Senior Professor and Dean (Faculty)


S.N. Bose National Centre for Basic Sciences
Kolkata

Visiting Professor, IISER, Kolkata

Phone : 2335 5706 Mobile : 9830335860

IISER
IISER Kolkata
Kolkata J  I
– p.
Reference Books
Tutors

Prof. Binayak Dutta-Roy Prof. A. Mookerjee

- Understanding Mathematics : K.B. Sinha R.L. Karandikar C. Musili S.


Pattanayak D. Singh A. Dey : Universities Press

- Calculus : T.M. Apostol Vol 1 : John Wiley and Sons

- Mathematics, its contents, methods and meaning : Alexandrov, Kolmogorov,


Laventsev

IISER
IISER Kolkata
Kolkata J  I
– p.
Mathematics of Sets
•The notion of a set is intuitive. It is a primitive notion. We shall not
formally define it.

• A set is a collection of things, objects or even ideas :

e.g. a flock of birds, a tribe of Santhals, a crowd of college students,a


cricket team, an electrorate.

•We can always define who/what belongs to the set and who/what
does not.

Flock ⇒

B = {crows, peacocks, parrots, vultures . . .} ⇒ defn by extension

B = {x : x = a species of bird} ⇒ defn by intention

IISER
IISER Kolkata
Kolkata J  I
– p.
Mathematics of Sets
A pigeon belongs to the set, but a tiger does not

x = pigeon ∈ B x = tiger 6∈ B

• This partition of everything into what belongs to the set and what
does not is the nearest to a formal definition of that set

Take another example :

Integers Z = {. . . , −3, −2, −1, 0, 1, 2, 3, . . .} or


Z = {n : n = integers}

T = {t : t = triangles with area 1 unit2 }

E = {e : e = all Indian nationals with age > 18 yrs}

S = {− 21 , 0, 12 , 32 }

IISER
IISER Kolkata
Kolkata J  I
– p.
Mathematics of Sets

Order is immaterial in a set.

Nor is the number of times the object within a set appears in the
extensive definition.

For example :

- The sets {2, 4, 6, 8}, {4, 2, 8, 6} and {2, 2, 4, 6, 6, 6, 8} are identical

- The sets {g, a, n, g, a}, and {n, a, g} are identical

- The sets {4, 5, C, B} and {B, 4, C, 5, C} are identical

IISER
IISER Kolkata
Kolkata J  I
– p.
Mathematics of Sets
•A set A is called a subset of another set B if : x ∈ A implies x ∈ B. We
write this as
A⊆B if x∈A⇒x∈B
•Two sets are called equal if :

A ⊆ B and B ⊆ A ⇒ A = B

•A set A is called a proper subset of another set B if :

A ⊂ B and A 6= B

Examples,

Z = {n : n = integer} , Z + = {n : n = positive integer} , R = {x : x = real number}


Z+ ⊂ Z and Z⊂R

IISER
IISER Kolkata
Kolkata J  I
– p.
Mathematics of Sets

Concept of a null set {∅}

It is a set with no elements ! Is it a set ?

It is required for logical completeness

{∅} = {t: t=triangles sum of whose angles > 2π}

{∅} = {m:m=mammals born through parthenogenesis}

{∅} = {n:n=no of quantum states with > 1 fermion occupancy}

IISER
IISER Kolkata
Kolkata J  I
– p.
Mathematics of Sets : Important Logical
Statements

X ⊆X

{∅} ⊆ every set X

X =Y ⇐⇒ X ⊂ Y and Y ⊂ X

X = Y =⇒ (x ∈ X ⇐⇒ x ∈Y)

X =X

X =Y =⇒ Y=X

X =Y, Y=Z =⇒ X =Z

X ⊂ Y, Y⊂ Z =⇒ X ⊂Z

IISER
IISER Kolkata
Kolkata J  I
– p.
Mathematics of Sets : Some definitions
Union : X ∪ Y = {x: x ∈ X or x ∈ Y}
X ∪Y =Y ∪X
(X ∪ Y) ∪ Z = X ∪ (Y ∪ Z)
X ⊂ Y ⇐⇒ X ∪ Y = Y

Intersection : X ∩ Y = {x: x ∈ X and x ∈ Y}


X ∩ Y =Y ∩ X
(X ∩ Y) ∩ Z = X ∩ (Y ∩ Z)
X ∩ Y ⊂ X, X ∩ Y ⊂ Y
X ⊂ Y ⇐⇒ X ∩ Y = X

IISER
IISER Kolkata
Kolkata J  I
– p.
Mathematics of Sets : Some definitions
Difference : X \ Y = { x: x=x∈ X and x6∈ Y }

Symmetric Difference : X 4 Y = (X \ Y) ∪ (Y \ X )

Power Set : P((X)) = { A : A ⊂ X }

When we define a set, say N I = {x: x=”non-Inidans”} , we have to


further specify in what context this set is defined. E.g. are we talking
about non-Indians who are living in Kolkata or non-Indians who live
in India or non-Indians who are members of humanity. This big set U
such that N I ⊂ U is called the universal set of our problem.

Complement X c = U \ X

IISER
IISER Kolkata
Kolkata J  I
– p. 1
De Morgan’s Laws

- (X ∪ Y)c = X c ∩ Y c

- (X ∩ Y)c = X c ∪ Y c

- A4B = (A ∩ Bc ) ∪ (B ∩ Ac )

Example : Let U = {x: x=students in this class}. X = { x: x=students in this


class who are good in physics}, and Y = { x: x=students in this class who
are good in maths}. X ∪ Y = {x: x=students in this class who are good in
physics or maths or both}

(X ∪ Y)c = {x: x=students in this class who are not good in physics and
maths}

Since X c are the students in this class who are not good in physics and
Y c are those who are not good in maths, X c ∩ Y c are those who are
not good in physics and maths. One of the De Morgan’s Law is verified.
IISER
IISER Kolkata
Kolkata J  I
– p. 1

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