SlideShare une entreprise Scribd logo
1  sur  7
41-Sequences and Monotone Sequences VU
Lecture No. 41 Sequences and Monotone Sequences
© Copyright Virtual University of Pakistan
1
• Definition of a sequence
• Graphs of sequences
• Limit of a sequence
• Recursive sequence
• Testing for monotonicity
• Eventually monotonic sequences
• Convergence of monotonic sequnce
• More on convergence intuitively
Definition of a sequence
A sequence in math is a succession of
numbers e.g 2,4,6,8,……. 1,2,3,4,…….
• The numbers in a sequence are called terms of a
sequence
• Each term has a positional name, like 1st term, 2nd
term etc and we can write them as a1 , a2 etc.
• It is convenient to write a sequence as a formula
• 2,4,6,8,…. Can be written as a formula as
{ }+∞
=12 nn
• We will write a sequences like
a1, a2,a3….. As
• Here is a formal definition of a sequence
{ }+∞
=1nna
Graphs of Sequences
• As we see that sequences are functions, we can talk
about the graphs of them.
• The graph of the sequence is the graph of the
function equation
y = 1/n , n = 1,2,3….
+∞
=





1
1
nn
41-Sequences and Monotone Sequences VU
© Copyright Virtual University of Pakistan
2
Limit of a sequence
• Here are graphs of four sequences, each of
which behaves differently as n increases
• Some of these graphs have the concept of a
limit in them.
• A sequence an converges to a limit L if for any
positive number E there is a point in the
sequences after which all terms lie btw lines L+E
and L-E.
41-Sequences and Monotone Sequences VU
© Copyright Virtual University of Pakistan
3
As we apply limit the following two sequences
converge
The following theorem shows that the familiar
properties of Limits apply
to sequence
Recursive Sequence
• Some sequences are defined by specifying one or
more initial terms and giving a formula that relates
each subsequent term to the term that precedes it ,
such sequences are said to be defined recursively .
Monotonicity and testing for monotonicity
41-Sequences and Monotone Sequences VU
© Copyright Virtual University of Pakistan
4
A sequence that is either nondecreasing or
nonincreasing is called monotone, and a sequence
that is increasing or decreasing is called strictly
monotone, but not conversely.
Testing for monotonicity
Monotone sequences are classified as follows
Monotone Sequence with positive terms are
classified as follows
If f(n) = an is the nth term of a sequence, and
if f is differentiable for x>=1 then we have the
following results
41-Sequences and Monotone Sequences VU
© Copyright Virtual University of Pakistan
5
Eventually monotonic sequences
A sequence an is eventually monotone if there is
some integer N such that the sequence is
monotone for n >= N
Convergence of monotonic sequence
41-Sequences and Monotone Sequences VU
© Copyright Virtual University of Pakistan
6
An Intuitive View of Convergence
Informally stated, the convergence or
divergence of a sequence does not depend on
the behavior of the “initial terms” of the
sequence, but rather on the behavior of the
“tail end". Thus for sequence { an } to converge
to a limit L, it does not matter if the initial terms
are for from L, just so the terms in the
sequence are eventually arbitrarily close to
L.This being the case , one can add, delete, or
alter finitely many terms without affecting the
convergence, divergence, or the limit (if it
exists).
41-Sequences and Monotone Sequences VU
© Copyright Virtual University of Pakistan
6
An Intuitive View of Convergence
Informally stated, the convergence or
divergence of a sequence does not depend on
the behavior of the “initial terms” of the
sequence, but rather on the behavior of the
“tail end". Thus for sequence { an } to converge
to a limit L, it does not matter if the initial terms
are for from L, just so the terms in the
sequence are eventually arbitrarily close to
L.This being the case , one can add, delete, or
alter finitely many terms without affecting the
convergence, divergence, or the limit (if it
exists).

Contenu connexe

Tendances

Thoery of Computaion and Chomsky's Classification
Thoery of Computaion and Chomsky's ClassificationThoery of Computaion and Chomsky's Classification
Thoery of Computaion and Chomsky's ClassificationPrafullMisra
 
Functional dependencies in Database Management System
Functional dependencies in Database Management SystemFunctional dependencies in Database Management System
Functional dependencies in Database Management SystemKevin Jadiya
 
Functional dependency and normalization
Functional dependency and normalizationFunctional dependency and normalization
Functional dependency and normalizationVisakh V
 
Theory of Computation Basic Concepts and Grammar
Theory of Computation Basic Concepts and GrammarTheory of Computation Basic Concepts and Grammar
Theory of Computation Basic Concepts and GrammarRushabh2428
 
5 decidability theory of computation
5 decidability theory of computation 5 decidability theory of computation
5 decidability theory of computation parmeet834
 
Pre-Cal 20S December 17, 2008
Pre-Cal 20S December 17, 2008Pre-Cal 20S December 17, 2008
Pre-Cal 20S December 17, 2008Darren Kuropatwa
 
Sequences and series
Sequences and seriesSequences and series
Sequences and seriesMalikahmad105
 
Final relation1 m_tech(cse)
Final relation1 m_tech(cse)Final relation1 m_tech(cse)
Final relation1 m_tech(cse)Himanshu Dua
 
IMPROPER INTEGRAL
   IMPROPER INTEGRAL   IMPROPER INTEGRAL
IMPROPER INTEGRALkishan619
 

Tendances (12)

Thoery of Computaion and Chomsky's Classification
Thoery of Computaion and Chomsky's ClassificationThoery of Computaion and Chomsky's Classification
Thoery of Computaion and Chomsky's Classification
 
Functional dependencies in Database Management System
Functional dependencies in Database Management SystemFunctional dependencies in Database Management System
Functional dependencies in Database Management System
 
Functional dependency and normalization
Functional dependency and normalizationFunctional dependency and normalization
Functional dependency and normalization
 
Relation and function
Relation and functionRelation and function
Relation and function
 
Theory of Computation Basic Concepts and Grammar
Theory of Computation Basic Concepts and GrammarTheory of Computation Basic Concepts and Grammar
Theory of Computation Basic Concepts and Grammar
 
MAT 111
MAT 111MAT 111
MAT 111
 
5 decidability theory of computation
5 decidability theory of computation 5 decidability theory of computation
5 decidability theory of computation
 
Pre-Cal 20S December 17, 2008
Pre-Cal 20S December 17, 2008Pre-Cal 20S December 17, 2008
Pre-Cal 20S December 17, 2008
 
Exponents
ExponentsExponents
Exponents
 
Sequences and series
Sequences and seriesSequences and series
Sequences and series
 
Final relation1 m_tech(cse)
Final relation1 m_tech(cse)Final relation1 m_tech(cse)
Final relation1 m_tech(cse)
 
IMPROPER INTEGRAL
   IMPROPER INTEGRAL   IMPROPER INTEGRAL
IMPROPER INTEGRAL
 

En vedette

CS101- Introduction to Computing- Lecture 44
CS101- Introduction to Computing- Lecture 44CS101- Introduction to Computing- Lecture 44
CS101- Introduction to Computing- Lecture 44Bilal Ahmed
 
ENG101- English Comprehension- Lecture 35
ENG101- English Comprehension- Lecture 35ENG101- English Comprehension- Lecture 35
ENG101- English Comprehension- Lecture 35Bilal Ahmed
 
MGT101 - Financial Accounting- Lecture 40
MGT101 - Financial Accounting- Lecture 40MGT101 - Financial Accounting- Lecture 40
MGT101 - Financial Accounting- Lecture 40Bilal Ahmed
 
ENG101- English Comprehension- Lecture 28
ENG101- English Comprehension- Lecture 28ENG101- English Comprehension- Lecture 28
ENG101- English Comprehension- Lecture 28Bilal Ahmed
 
MGT101 - Financial Accounting- Lecture 36
MGT101 - Financial Accounting- Lecture 36MGT101 - Financial Accounting- Lecture 36
MGT101 - Financial Accounting- Lecture 36Bilal Ahmed
 
ENG101- English Comprehension- Lecture 23
ENG101- English Comprehension- Lecture 23ENG101- English Comprehension- Lecture 23
ENG101- English Comprehension- Lecture 23Bilal Ahmed
 
ENG101- English Comprehension- Lecture 43
ENG101- English Comprehension- Lecture 43ENG101- English Comprehension- Lecture 43
ENG101- English Comprehension- Lecture 43Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 39
CS201- Introduction to Programming- Lecture 39CS201- Introduction to Programming- Lecture 39
CS201- Introduction to Programming- Lecture 39Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 34
CS201- Introduction to Programming- Lecture 34CS201- Introduction to Programming- Lecture 34
CS201- Introduction to Programming- Lecture 34Bilal Ahmed
 
ENG101- English Comprehension- Lecture 30
ENG101- English Comprehension- Lecture 30ENG101- English Comprehension- Lecture 30
ENG101- English Comprehension- Lecture 30Bilal Ahmed
 
CS101- Introduction to Computing- Lecture 29
CS101- Introduction to Computing- Lecture 29CS101- Introduction to Computing- Lecture 29
CS101- Introduction to Computing- Lecture 29Bilal Ahmed
 
MGT101 - Financial Accounting- Lecture 27
MGT101 - Financial Accounting- Lecture 27MGT101 - Financial Accounting- Lecture 27
MGT101 - Financial Accounting- Lecture 27Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 33
CS201- Introduction to Programming- Lecture 33CS201- Introduction to Programming- Lecture 33
CS201- Introduction to Programming- Lecture 33Bilal Ahmed
 
CS101- Introduction to Computing- Lecture 31
CS101- Introduction to Computing- Lecture 31CS101- Introduction to Computing- Lecture 31
CS101- Introduction to Computing- Lecture 31Bilal Ahmed
 
MGT101 - Financial Accounting- Lecture 45
MGT101 - Financial Accounting- Lecture 45MGT101 - Financial Accounting- Lecture 45
MGT101 - Financial Accounting- Lecture 45Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 10
CS201- Introduction to Programming- Lecture 10CS201- Introduction to Programming- Lecture 10
CS201- Introduction to Programming- Lecture 10Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 27
CS201- Introduction to Programming- Lecture 27CS201- Introduction to Programming- Lecture 27
CS201- Introduction to Programming- Lecture 27Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 16
CS201- Introduction to Programming- Lecture 16CS201- Introduction to Programming- Lecture 16
CS201- Introduction to Programming- Lecture 16Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 37
CS201- Introduction to Programming- Lecture 37CS201- Introduction to Programming- Lecture 37
CS201- Introduction to Programming- Lecture 37Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 12
CS201- Introduction to Programming- Lecture 12CS201- Introduction to Programming- Lecture 12
CS201- Introduction to Programming- Lecture 12Bilal Ahmed
 

En vedette (20)

CS101- Introduction to Computing- Lecture 44
CS101- Introduction to Computing- Lecture 44CS101- Introduction to Computing- Lecture 44
CS101- Introduction to Computing- Lecture 44
 
ENG101- English Comprehension- Lecture 35
ENG101- English Comprehension- Lecture 35ENG101- English Comprehension- Lecture 35
ENG101- English Comprehension- Lecture 35
 
MGT101 - Financial Accounting- Lecture 40
MGT101 - Financial Accounting- Lecture 40MGT101 - Financial Accounting- Lecture 40
MGT101 - Financial Accounting- Lecture 40
 
ENG101- English Comprehension- Lecture 28
ENG101- English Comprehension- Lecture 28ENG101- English Comprehension- Lecture 28
ENG101- English Comprehension- Lecture 28
 
MGT101 - Financial Accounting- Lecture 36
MGT101 - Financial Accounting- Lecture 36MGT101 - Financial Accounting- Lecture 36
MGT101 - Financial Accounting- Lecture 36
 
ENG101- English Comprehension- Lecture 23
ENG101- English Comprehension- Lecture 23ENG101- English Comprehension- Lecture 23
ENG101- English Comprehension- Lecture 23
 
ENG101- English Comprehension- Lecture 43
ENG101- English Comprehension- Lecture 43ENG101- English Comprehension- Lecture 43
ENG101- English Comprehension- Lecture 43
 
CS201- Introduction to Programming- Lecture 39
CS201- Introduction to Programming- Lecture 39CS201- Introduction to Programming- Lecture 39
CS201- Introduction to Programming- Lecture 39
 
CS201- Introduction to Programming- Lecture 34
CS201- Introduction to Programming- Lecture 34CS201- Introduction to Programming- Lecture 34
CS201- Introduction to Programming- Lecture 34
 
ENG101- English Comprehension- Lecture 30
ENG101- English Comprehension- Lecture 30ENG101- English Comprehension- Lecture 30
ENG101- English Comprehension- Lecture 30
 
CS101- Introduction to Computing- Lecture 29
CS101- Introduction to Computing- Lecture 29CS101- Introduction to Computing- Lecture 29
CS101- Introduction to Computing- Lecture 29
 
MGT101 - Financial Accounting- Lecture 27
MGT101 - Financial Accounting- Lecture 27MGT101 - Financial Accounting- Lecture 27
MGT101 - Financial Accounting- Lecture 27
 
CS201- Introduction to Programming- Lecture 33
CS201- Introduction to Programming- Lecture 33CS201- Introduction to Programming- Lecture 33
CS201- Introduction to Programming- Lecture 33
 
CS101- Introduction to Computing- Lecture 31
CS101- Introduction to Computing- Lecture 31CS101- Introduction to Computing- Lecture 31
CS101- Introduction to Computing- Lecture 31
 
MGT101 - Financial Accounting- Lecture 45
MGT101 - Financial Accounting- Lecture 45MGT101 - Financial Accounting- Lecture 45
MGT101 - Financial Accounting- Lecture 45
 
CS201- Introduction to Programming- Lecture 10
CS201- Introduction to Programming- Lecture 10CS201- Introduction to Programming- Lecture 10
CS201- Introduction to Programming- Lecture 10
 
CS201- Introduction to Programming- Lecture 27
CS201- Introduction to Programming- Lecture 27CS201- Introduction to Programming- Lecture 27
CS201- Introduction to Programming- Lecture 27
 
CS201- Introduction to Programming- Lecture 16
CS201- Introduction to Programming- Lecture 16CS201- Introduction to Programming- Lecture 16
CS201- Introduction to Programming- Lecture 16
 
CS201- Introduction to Programming- Lecture 37
CS201- Introduction to Programming- Lecture 37CS201- Introduction to Programming- Lecture 37
CS201- Introduction to Programming- Lecture 37
 
CS201- Introduction to Programming- Lecture 12
CS201- Introduction to Programming- Lecture 12CS201- Introduction to Programming- Lecture 12
CS201- Introduction to Programming- Lecture 12
 

Similaire à MTH101 - Calculus and Analytical Geometry- Lecture 41

Sequences and Series (Mathematics)
Sequences and Series (Mathematics) Sequences and Series (Mathematics)
Sequences and Series (Mathematics) Dhrumil Maniar
 
Stat 2153 Stochastic Process and Markov chain
Stat 2153 Stochastic Process and Markov chainStat 2153 Stochastic Process and Markov chain
Stat 2153 Stochastic Process and Markov chainKhulna University
 
Infinite series-Calculus and Analytical Geometry
Infinite series-Calculus and Analytical GeometryInfinite series-Calculus and Analytical Geometry
Infinite series-Calculus and Analytical GeometryRabin BK
 
Biased learning of long-distance assimilation and dissimilation
Biased learning of long-distance assimilation and dissimilationBiased learning of long-distance assimilation and dissimilation
Biased learning of long-distance assimilation and dissimilationKevin McMullin
 
M1 unit vi-jntuworld
M1 unit vi-jntuworldM1 unit vi-jntuworld
M1 unit vi-jntuworldmrecedu
 
Power series & Radius of convergence
Power series & Radius of convergencePower series & Radius of convergence
Power series & Radius of convergenceDhruv Darji
 
Applied Calculus: An Introduction to Derivatives
Applied Calculus: An Introduction to DerivativesApplied Calculus: An Introduction to Derivatives
Applied Calculus: An Introduction to Derivativesbaetulilm
 
Power series and radius of convergence
Power series and radius of convergencePower series and radius of convergence
Power series and radius of convergenceYashh Pandya
 
15695 20080506135543
15695 2008050613554315695 20080506135543
15695 20080506135543forgotteniman
 
signals and systems chapter4_signals and systems chapter4
signals and systems chapter4_signals and systems chapter4signals and systems chapter4_signals and systems chapter4
signals and systems chapter4_signals and systems chapter4islamsharawneh
 
Root locus description in lucid way by ME IITB
Root locus description in lucid way by ME IITBRoot locus description in lucid way by ME IITB
Root locus description in lucid way by ME IITBAmreshAman
 
Application of finite markov chain to a model of schooling
Application of finite markov chain to a model of schoolingApplication of finite markov chain to a model of schooling
Application of finite markov chain to a model of schoolingAlexander Decker
 

Similaire à MTH101 - Calculus and Analytical Geometry- Lecture 41 (12)

Sequences and Series (Mathematics)
Sequences and Series (Mathematics) Sequences and Series (Mathematics)
Sequences and Series (Mathematics)
 
Stat 2153 Stochastic Process and Markov chain
Stat 2153 Stochastic Process and Markov chainStat 2153 Stochastic Process and Markov chain
Stat 2153 Stochastic Process and Markov chain
 
Infinite series-Calculus and Analytical Geometry
Infinite series-Calculus and Analytical GeometryInfinite series-Calculus and Analytical Geometry
Infinite series-Calculus and Analytical Geometry
 
Biased learning of long-distance assimilation and dissimilation
Biased learning of long-distance assimilation and dissimilationBiased learning of long-distance assimilation and dissimilation
Biased learning of long-distance assimilation and dissimilation
 
M1 unit vi-jntuworld
M1 unit vi-jntuworldM1 unit vi-jntuworld
M1 unit vi-jntuworld
 
Power series & Radius of convergence
Power series & Radius of convergencePower series & Radius of convergence
Power series & Radius of convergence
 
Applied Calculus: An Introduction to Derivatives
Applied Calculus: An Introduction to DerivativesApplied Calculus: An Introduction to Derivatives
Applied Calculus: An Introduction to Derivatives
 
Power series and radius of convergence
Power series and radius of convergencePower series and radius of convergence
Power series and radius of convergence
 
15695 20080506135543
15695 2008050613554315695 20080506135543
15695 20080506135543
 
signals and systems chapter4_signals and systems chapter4
signals and systems chapter4_signals and systems chapter4signals and systems chapter4_signals and systems chapter4
signals and systems chapter4_signals and systems chapter4
 
Root locus description in lucid way by ME IITB
Root locus description in lucid way by ME IITBRoot locus description in lucid way by ME IITB
Root locus description in lucid way by ME IITB
 
Application of finite markov chain to a model of schooling
Application of finite markov chain to a model of schoolingApplication of finite markov chain to a model of schooling
Application of finite markov chain to a model of schooling
 

Plus de Bilal Ahmed

CS201- Introduction to Programming- Lecture 45
CS201- Introduction to Programming- Lecture 45CS201- Introduction to Programming- Lecture 45
CS201- Introduction to Programming- Lecture 45Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 44
CS201- Introduction to Programming- Lecture 44CS201- Introduction to Programming- Lecture 44
CS201- Introduction to Programming- Lecture 44Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 43
CS201- Introduction to Programming- Lecture 43CS201- Introduction to Programming- Lecture 43
CS201- Introduction to Programming- Lecture 43Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 42
CS201- Introduction to Programming- Lecture 42CS201- Introduction to Programming- Lecture 42
CS201- Introduction to Programming- Lecture 42Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 41
CS201- Introduction to Programming- Lecture 41CS201- Introduction to Programming- Lecture 41
CS201- Introduction to Programming- Lecture 41Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 40
CS201- Introduction to Programming- Lecture 40CS201- Introduction to Programming- Lecture 40
CS201- Introduction to Programming- Lecture 40Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 38
CS201- Introduction to Programming- Lecture 38CS201- Introduction to Programming- Lecture 38
CS201- Introduction to Programming- Lecture 38Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 36
CS201- Introduction to Programming- Lecture 36CS201- Introduction to Programming- Lecture 36
CS201- Introduction to Programming- Lecture 36Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 35
CS201- Introduction to Programming- Lecture 35CS201- Introduction to Programming- Lecture 35
CS201- Introduction to Programming- Lecture 35Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 32
CS201- Introduction to Programming- Lecture 32CS201- Introduction to Programming- Lecture 32
CS201- Introduction to Programming- Lecture 32Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 31
CS201- Introduction to Programming- Lecture 31CS201- Introduction to Programming- Lecture 31
CS201- Introduction to Programming- Lecture 31Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 30
CS201- Introduction to Programming- Lecture 30CS201- Introduction to Programming- Lecture 30
CS201- Introduction to Programming- Lecture 30Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 29
CS201- Introduction to Programming- Lecture 29CS201- Introduction to Programming- Lecture 29
CS201- Introduction to Programming- Lecture 29Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 28
CS201- Introduction to Programming- Lecture 28CS201- Introduction to Programming- Lecture 28
CS201- Introduction to Programming- Lecture 28Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 26
CS201- Introduction to Programming- Lecture 26CS201- Introduction to Programming- Lecture 26
CS201- Introduction to Programming- Lecture 26Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 25
CS201- Introduction to Programming- Lecture 25CS201- Introduction to Programming- Lecture 25
CS201- Introduction to Programming- Lecture 25Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 24
CS201- Introduction to Programming- Lecture 24CS201- Introduction to Programming- Lecture 24
CS201- Introduction to Programming- Lecture 24Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 23
CS201- Introduction to Programming- Lecture 23CS201- Introduction to Programming- Lecture 23
CS201- Introduction to Programming- Lecture 23Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 22
CS201- Introduction to Programming- Lecture 22CS201- Introduction to Programming- Lecture 22
CS201- Introduction to Programming- Lecture 22Bilal Ahmed
 
CS201- Introduction to Programming- Lecture 21
CS201- Introduction to Programming- Lecture 21CS201- Introduction to Programming- Lecture 21
CS201- Introduction to Programming- Lecture 21Bilal Ahmed
 

Plus de Bilal Ahmed (20)

CS201- Introduction to Programming- Lecture 45
CS201- Introduction to Programming- Lecture 45CS201- Introduction to Programming- Lecture 45
CS201- Introduction to Programming- Lecture 45
 
CS201- Introduction to Programming- Lecture 44
CS201- Introduction to Programming- Lecture 44CS201- Introduction to Programming- Lecture 44
CS201- Introduction to Programming- Lecture 44
 
CS201- Introduction to Programming- Lecture 43
CS201- Introduction to Programming- Lecture 43CS201- Introduction to Programming- Lecture 43
CS201- Introduction to Programming- Lecture 43
 
CS201- Introduction to Programming- Lecture 42
CS201- Introduction to Programming- Lecture 42CS201- Introduction to Programming- Lecture 42
CS201- Introduction to Programming- Lecture 42
 
CS201- Introduction to Programming- Lecture 41
CS201- Introduction to Programming- Lecture 41CS201- Introduction to Programming- Lecture 41
CS201- Introduction to Programming- Lecture 41
 
CS201- Introduction to Programming- Lecture 40
CS201- Introduction to Programming- Lecture 40CS201- Introduction to Programming- Lecture 40
CS201- Introduction to Programming- Lecture 40
 
CS201- Introduction to Programming- Lecture 38
CS201- Introduction to Programming- Lecture 38CS201- Introduction to Programming- Lecture 38
CS201- Introduction to Programming- Lecture 38
 
CS201- Introduction to Programming- Lecture 36
CS201- Introduction to Programming- Lecture 36CS201- Introduction to Programming- Lecture 36
CS201- Introduction to Programming- Lecture 36
 
CS201- Introduction to Programming- Lecture 35
CS201- Introduction to Programming- Lecture 35CS201- Introduction to Programming- Lecture 35
CS201- Introduction to Programming- Lecture 35
 
CS201- Introduction to Programming- Lecture 32
CS201- Introduction to Programming- Lecture 32CS201- Introduction to Programming- Lecture 32
CS201- Introduction to Programming- Lecture 32
 
CS201- Introduction to Programming- Lecture 31
CS201- Introduction to Programming- Lecture 31CS201- Introduction to Programming- Lecture 31
CS201- Introduction to Programming- Lecture 31
 
CS201- Introduction to Programming- Lecture 30
CS201- Introduction to Programming- Lecture 30CS201- Introduction to Programming- Lecture 30
CS201- Introduction to Programming- Lecture 30
 
CS201- Introduction to Programming- Lecture 29
CS201- Introduction to Programming- Lecture 29CS201- Introduction to Programming- Lecture 29
CS201- Introduction to Programming- Lecture 29
 
CS201- Introduction to Programming- Lecture 28
CS201- Introduction to Programming- Lecture 28CS201- Introduction to Programming- Lecture 28
CS201- Introduction to Programming- Lecture 28
 
CS201- Introduction to Programming- Lecture 26
CS201- Introduction to Programming- Lecture 26CS201- Introduction to Programming- Lecture 26
CS201- Introduction to Programming- Lecture 26
 
CS201- Introduction to Programming- Lecture 25
CS201- Introduction to Programming- Lecture 25CS201- Introduction to Programming- Lecture 25
CS201- Introduction to Programming- Lecture 25
 
CS201- Introduction to Programming- Lecture 24
CS201- Introduction to Programming- Lecture 24CS201- Introduction to Programming- Lecture 24
CS201- Introduction to Programming- Lecture 24
 
CS201- Introduction to Programming- Lecture 23
CS201- Introduction to Programming- Lecture 23CS201- Introduction to Programming- Lecture 23
CS201- Introduction to Programming- Lecture 23
 
CS201- Introduction to Programming- Lecture 22
CS201- Introduction to Programming- Lecture 22CS201- Introduction to Programming- Lecture 22
CS201- Introduction to Programming- Lecture 22
 
CS201- Introduction to Programming- Lecture 21
CS201- Introduction to Programming- Lecture 21CS201- Introduction to Programming- Lecture 21
CS201- Introduction to Programming- Lecture 21
 

Dernier

ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTiammrhaywood
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designMIPLM
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSJoshuaGantuangco2
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Jisc
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptxSherlyMaeNeri
 
What is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPWhat is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPCeline George
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxAnupkumar Sharma
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceSamikshaHamane
 
DATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersDATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersSabitha Banu
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxAshokKarra1
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxiammrhaywood
 
Science 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptxScience 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptxMaryGraceBautista27
 
ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4MiaBumagat1
 
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONHumphrey A Beña
 
Choosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for ParentsChoosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for Parentsnavabharathschool99
 
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYKayeClaireEstoconing
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatYousafMalik24
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxDr.Ibrahim Hassaan
 

Dernier (20)

ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-design
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptx
 
What is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPWhat is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERP
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in Pharmacovigilance
 
DATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersDATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginners
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptx
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
 
Science 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptxScience 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptx
 
ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4
 
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
 
Choosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for ParentsChoosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for Parents
 
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptxLEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
 
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice great
 
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptxYOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptx
 

MTH101 - Calculus and Analytical Geometry- Lecture 41

  • 1. 41-Sequences and Monotone Sequences VU Lecture No. 41 Sequences and Monotone Sequences © Copyright Virtual University of Pakistan 1 • Definition of a sequence • Graphs of sequences • Limit of a sequence • Recursive sequence • Testing for monotonicity • Eventually monotonic sequences • Convergence of monotonic sequnce • More on convergence intuitively Definition of a sequence A sequence in math is a succession of numbers e.g 2,4,6,8,……. 1,2,3,4,……. • The numbers in a sequence are called terms of a sequence • Each term has a positional name, like 1st term, 2nd term etc and we can write them as a1 , a2 etc. • It is convenient to write a sequence as a formula • 2,4,6,8,…. Can be written as a formula as { }+∞ =12 nn • We will write a sequences like a1, a2,a3….. As • Here is a formal definition of a sequence { }+∞ =1nna Graphs of Sequences • As we see that sequences are functions, we can talk about the graphs of them. • The graph of the sequence is the graph of the function equation y = 1/n , n = 1,2,3…. +∞ =      1 1 nn
  • 2. 41-Sequences and Monotone Sequences VU © Copyright Virtual University of Pakistan 2 Limit of a sequence • Here are graphs of four sequences, each of which behaves differently as n increases • Some of these graphs have the concept of a limit in them. • A sequence an converges to a limit L if for any positive number E there is a point in the sequences after which all terms lie btw lines L+E and L-E.
  • 3. 41-Sequences and Monotone Sequences VU © Copyright Virtual University of Pakistan 3 As we apply limit the following two sequences converge The following theorem shows that the familiar properties of Limits apply to sequence Recursive Sequence • Some sequences are defined by specifying one or more initial terms and giving a formula that relates each subsequent term to the term that precedes it , such sequences are said to be defined recursively . Monotonicity and testing for monotonicity
  • 4. 41-Sequences and Monotone Sequences VU © Copyright Virtual University of Pakistan 4 A sequence that is either nondecreasing or nonincreasing is called monotone, and a sequence that is increasing or decreasing is called strictly monotone, but not conversely. Testing for monotonicity Monotone sequences are classified as follows Monotone Sequence with positive terms are classified as follows If f(n) = an is the nth term of a sequence, and if f is differentiable for x>=1 then we have the following results
  • 5. 41-Sequences and Monotone Sequences VU © Copyright Virtual University of Pakistan 5 Eventually monotonic sequences A sequence an is eventually monotone if there is some integer N such that the sequence is monotone for n >= N Convergence of monotonic sequence
  • 6. 41-Sequences and Monotone Sequences VU © Copyright Virtual University of Pakistan 6 An Intuitive View of Convergence Informally stated, the convergence or divergence of a sequence does not depend on the behavior of the “initial terms” of the sequence, but rather on the behavior of the “tail end". Thus for sequence { an } to converge to a limit L, it does not matter if the initial terms are for from L, just so the terms in the sequence are eventually arbitrarily close to L.This being the case , one can add, delete, or alter finitely many terms without affecting the convergence, divergence, or the limit (if it exists).
  • 7. 41-Sequences and Monotone Sequences VU © Copyright Virtual University of Pakistan 6 An Intuitive View of Convergence Informally stated, the convergence or divergence of a sequence does not depend on the behavior of the “initial terms” of the sequence, but rather on the behavior of the “tail end". Thus for sequence { an } to converge to a limit L, it does not matter if the initial terms are for from L, just so the terms in the sequence are eventually arbitrarily close to L.This being the case , one can add, delete, or alter finitely many terms without affecting the convergence, divergence, or the limit (if it exists).