SlideShare a Scribd company logo
SEQUENCES AND SERIES OF FUNCTIONS
Prof. Mini Thomas
Department of Mathematics
CONTENT
 INTRODUCTION
 POINTWISE CONVERGENCE AND UNIFORM
CONVERGENCE OF SEQUENCES OF FUNCTIONS
 CAUCHYʹ S CRITERION FOR UNIFORM CONVERGENCE
 THEOREMS
 UNIFORM CONVERGENCE AND CONTINUITY
 DEFINITION
 CONCLUSION
 REFERENCES
INTRODUCTION
 In Mathematics , real analysis is the branch of
mathematical analysis that studies the behavior of real
numbers ,sequences and series of real numbers and
real valued functions .Some particular properties of
real –valued sequences and functions that real analysis
studies include convergence , limits , continuity ,
smoothness , differentiability and integrability .
POINTWISE CONVERGENCE AND UNIFORM
CONVERGENCE OF SEQUENCES OF FUNCTIONS
 Definition ( Pointwise convergence )
Suppose {fn} be a sequence of functions defined on a set E and
suppose that the sequence of numbers {fn₍ₓ₎} converges for every
xϵE we can define a function f by
f₍ₓ₎= limn→∞ fn₍ₓ₎ , xϵE
And we say that {fn} → f pointwise on E or simply , {fn}
converges on E and that f is the limit or the limit function of
{fn}.
⦁Definition (Uniform convergence)
A sequence of functions {fn} is said to converge uniformly on E
to a function if for every ɛ˃ 0 , their exist N such that
n ≥N implies │fn₍ₓ₎−f₍ₓ₎│≤ɛ , for all xϵE
CAUCHY ‘S CRITERION FOR
UNIFORM CONVERGENCE
 THEOREM : The sequence of functions {fn} defined on
E , converges uniformly on E iff for every ɛ˃0 their exist
an integer N such that
m,n ≥N , xϵE implies │fn₍ₓ₎─ fm₍ₓ₎│≤ɛ
THEOREMS
 THEOREM 1: Suppose limn→∞ fn₍ₓ₎ = f₍ₓ₎ , xϵE put
Mn = xϵEsup│fn₍ₓ₎─f₍ₓ₎│ then fn→f uniformly on E iff
Mn→0 as n→∞
 THEOREM 2 (WEIERSTRASS M-TEST FOR UNIFORM
CONVERGENCE OF SERIES ) :
Suppose {fn} is a sequence of functions defined on E and
suppose │fn₍ₓ₎│≤Mn , for all xϵE and n= 1,2,3,…… then
∑fn converges uniformly on E if ∑Mn converges
UNIFORM CONVERGENCE AND
CONTINUITY
 THEOREM
Suppose fn converges to f uniformly on a set E in a metric
space . Let x be a limit point of E and suppose that
limt→x fn ₍t₎= An ,n=1,2,3,. then {An} converges and
limt→x f₍t₎ = limn→∞ An
 THEOREM : If {fn} is a
sequence of continuous
functions on E and if fn
converges to f uniformly on
E then f is continuous on E
 THEOREM : suppose k is
compact
a) {fn} is a sequence of
continuous functions on
k
b) {fn} converges pointwise
to a continuous function f
on k
c) fn₍ₓ₎ ≥ fn+1₍ₓ₎ , for every
xϵk , n =1,2,… then fn
converges to f uniformly
on k
DEFINITION
Let X be a metric space then the set of all complex valued
continues bounded functions with domain x is denoted
by Ҫ₍ₓ₎ . If f is a continuous function on a compact
metric space then f is bounded . So if x is compact Ҫ₍ₓ₎
consists of complex valued continuous functions on X .
Let fϵҪ₍ₓ₎ then define ǁ f ǁ = xϵXsup │f₍ₓ₎│, then ǁ ǁ is a
norm on Ҫ₍ₓ₎ and is called supremum norm
CONCLUSION
The difference between the uniform convergence and
pointwise convergence is that if {fn} converges
uniformly on E which is possible for each ԑ>0 to find
one integer N which will do for all xϵE so in case of
uniform convergence N depends only on ԑ and in case
of pointwise convergence N depends on ϵ and x
REFERENCES
WALTER RUDIN, Principles Mathematical analysis (Third
edition) , McGraw Hill Book Company , International
Editions.
Chapter 7 Section 7.1- 7.18

More Related Content

Similar to Mini-Thomas-ppt.pptx

Some Characterizations of Riesz Valued Sequence Spaces generated by an Order ...
Some Characterizations of Riesz Valued Sequence Spaces generated by an Order ...Some Characterizations of Riesz Valued Sequence Spaces generated by an Order ...
Some Characterizations of Riesz Valued Sequence Spaces generated by an Order ...
UniversitasGadjahMada
 
Aa5
Aa5Aa5
FACTORIZATION OF OPERATORS AND VECTOR MEASURES
FACTORIZATION OF OPERATORS AND VECTOR MEASURESFACTORIZATION OF OPERATORS AND VECTOR MEASURES
FACTORIZATION OF OPERATORS AND VECTOR MEASURES
esasancpe
 
Sequences 01
Sequences 01Sequences 01
Sequences 01
kmfob
 
Measure Theory and important points with booklet
Measure Theory and important points with bookletMeasure Theory and important points with booklet
Measure Theory and important points with booklet
NaeemAhmad289736
 
CONTINUITY.pdf
CONTINUITY.pdfCONTINUITY.pdf
CONTINUITY.pdf
Marjorie Malveda
 
H03702061062
H03702061062H03702061062
H03702061062
theijes
 
03 propsem
03 propsem03 propsem
03 propsem
khairuljazlee
 
20 sequences x
20 sequences x20 sequences x
20 sequences x
math266
 
20 sequences x
20 sequences x20 sequences x
20 sequences x
math266
 
Optics Fourier Transform I
Optics Fourier Transform IOptics Fourier Transform I
Optics Fourier Transform I
diarmseven
 
Fibonacci numbers And Lucas numbers
Fibonacci numbers And  Lucas numbersFibonacci numbers And  Lucas numbers
Fibonacci numbers And Lucas numbers
Shashank Singh
 
Operations on fourier series
Operations on fourier seriesOperations on fourier series
Operations on fourier series
Tarun Gehlot
 
Exponential-plus-Constant Fitting based on Fourier Analysis
Exponential-plus-Constant Fitting based on Fourier AnalysisExponential-plus-Constant Fitting based on Fourier Analysis
Exponential-plus-Constant Fitting based on Fourier Analysis
Matthieu Hodgkinson
 
Fixed Point Theorm In Probabilistic Analysis
Fixed Point Theorm In Probabilistic AnalysisFixed Point Theorm In Probabilistic Analysis
Fixed Point Theorm In Probabilistic Analysis
iosrjce
 
Jensen's inequality, EM 알고리즘
Jensen's inequality, EM 알고리즘 Jensen's inequality, EM 알고리즘
Jensen's inequality, EM 알고리즘
Jungkyu Lee
 
Sadiq Hussain
Sadiq Hussain Sadiq Hussain
Sadiq Hussain
Sadiq Hussain
 
functions
 functions  functions
functions
Gaditek
 
Existence and Uniqueness of Algebraic Closure
Existence and Uniqueness of Algebraic ClosureExistence and Uniqueness of Algebraic Closure
Existence and Uniqueness of Algebraic Closure
Ayan Sengupta
 
Limit in Dual Space
Limit in Dual SpaceLimit in Dual Space
Limit in Dual Space
QUESTJOURNAL
 

Similar to Mini-Thomas-ppt.pptx (20)

Some Characterizations of Riesz Valued Sequence Spaces generated by an Order ...
Some Characterizations of Riesz Valued Sequence Spaces generated by an Order ...Some Characterizations of Riesz Valued Sequence Spaces generated by an Order ...
Some Characterizations of Riesz Valued Sequence Spaces generated by an Order ...
 
Aa5
Aa5Aa5
Aa5
 
FACTORIZATION OF OPERATORS AND VECTOR MEASURES
FACTORIZATION OF OPERATORS AND VECTOR MEASURESFACTORIZATION OF OPERATORS AND VECTOR MEASURES
FACTORIZATION OF OPERATORS AND VECTOR MEASURES
 
Sequences 01
Sequences 01Sequences 01
Sequences 01
 
Measure Theory and important points with booklet
Measure Theory and important points with bookletMeasure Theory and important points with booklet
Measure Theory and important points with booklet
 
CONTINUITY.pdf
CONTINUITY.pdfCONTINUITY.pdf
CONTINUITY.pdf
 
H03702061062
H03702061062H03702061062
H03702061062
 
03 propsem
03 propsem03 propsem
03 propsem
 
20 sequences x
20 sequences x20 sequences x
20 sequences x
 
20 sequences x
20 sequences x20 sequences x
20 sequences x
 
Optics Fourier Transform I
Optics Fourier Transform IOptics Fourier Transform I
Optics Fourier Transform I
 
Fibonacci numbers And Lucas numbers
Fibonacci numbers And  Lucas numbersFibonacci numbers And  Lucas numbers
Fibonacci numbers And Lucas numbers
 
Operations on fourier series
Operations on fourier seriesOperations on fourier series
Operations on fourier series
 
Exponential-plus-Constant Fitting based on Fourier Analysis
Exponential-plus-Constant Fitting based on Fourier AnalysisExponential-plus-Constant Fitting based on Fourier Analysis
Exponential-plus-Constant Fitting based on Fourier Analysis
 
Fixed Point Theorm In Probabilistic Analysis
Fixed Point Theorm In Probabilistic AnalysisFixed Point Theorm In Probabilistic Analysis
Fixed Point Theorm In Probabilistic Analysis
 
Jensen's inequality, EM 알고리즘
Jensen's inequality, EM 알고리즘 Jensen's inequality, EM 알고리즘
Jensen's inequality, EM 알고리즘
 
Sadiq Hussain
Sadiq Hussain Sadiq Hussain
Sadiq Hussain
 
functions
 functions  functions
functions
 
Existence and Uniqueness of Algebraic Closure
Existence and Uniqueness of Algebraic ClosureExistence and Uniqueness of Algebraic Closure
Existence and Uniqueness of Algebraic Closure
 
Limit in Dual Space
Limit in Dual SpaceLimit in Dual Space
Limit in Dual Space
 

Recently uploaded

waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdfwaterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
LengamoLAppostilic
 
Equivariant neural networks and representation theory
Equivariant neural networks and representation theoryEquivariant neural networks and representation theory
Equivariant neural networks and representation theory
Daniel Tubbenhauer
 
molar-distalization in orthodontics-seminar.pptx
molar-distalization in orthodontics-seminar.pptxmolar-distalization in orthodontics-seminar.pptx
molar-distalization in orthodontics-seminar.pptx
Anagha Prasad
 
Deep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless ReproducibilityDeep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless Reproducibility
University of Rennes, INSA Rennes, Inria/IRISA, CNRS
 
Applied Science: Thermodynamics, Laws & Methodology.pdf
Applied Science: Thermodynamics, Laws & Methodology.pdfApplied Science: Thermodynamics, Laws & Methodology.pdf
Applied Science: Thermodynamics, Laws & Methodology.pdf
University of Hertfordshire
 
Randomised Optimisation Algorithms in DAPHNE
Randomised Optimisation Algorithms in DAPHNERandomised Optimisation Algorithms in DAPHNE
Randomised Optimisation Algorithms in DAPHNE
University of Maribor
 
在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样
在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样
在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样
vluwdy49
 
Bob Reedy - Nitrate in Texas Groundwater.pdf
Bob Reedy - Nitrate in Texas Groundwater.pdfBob Reedy - Nitrate in Texas Groundwater.pdf
Bob Reedy - Nitrate in Texas Groundwater.pdf
Texas Alliance of Groundwater Districts
 
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
Sérgio Sacani
 
The debris of the ‘last major merger’ is dynamically young
The debris of the ‘last major merger’ is dynamically youngThe debris of the ‘last major merger’ is dynamically young
The debris of the ‘last major merger’ is dynamically young
Sérgio Sacani
 
Basics of crystallography, crystal systems, classes and different forms
Basics of crystallography, crystal systems, classes and different formsBasics of crystallography, crystal systems, classes and different forms
Basics of crystallography, crystal systems, classes and different forms
MaheshaNanjegowda
 
8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf
by6843629
 
Thornton ESPP slides UK WW Network 4_6_24.pdf
Thornton ESPP slides UK WW Network 4_6_24.pdfThornton ESPP slides UK WW Network 4_6_24.pdf
Thornton ESPP slides UK WW Network 4_6_24.pdf
European Sustainable Phosphorus Platform
 
SAR of Medicinal Chemistry 1st by dk.pdf
SAR of Medicinal Chemistry 1st by dk.pdfSAR of Medicinal Chemistry 1st by dk.pdf
SAR of Medicinal Chemistry 1st by dk.pdf
KrushnaDarade1
 
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
University of Maribor
 
Oedema_types_causes_pathophysiology.pptx
Oedema_types_causes_pathophysiology.pptxOedema_types_causes_pathophysiology.pptx
Oedema_types_causes_pathophysiology.pptx
muralinath2
 
20240520 Planning a Circuit Simulator in JavaScript.pptx
20240520 Planning a Circuit Simulator in JavaScript.pptx20240520 Planning a Circuit Simulator in JavaScript.pptx
20240520 Planning a Circuit Simulator in JavaScript.pptx
Sharon Liu
 
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...
Travis Hills MN
 
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...Describing and Interpreting an Immersive Learning Case with the Immersion Cub...
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...
Leonel Morgado
 
The binding of cosmological structures by massless topological defects
The binding of cosmological structures by massless topological defectsThe binding of cosmological structures by massless topological defects
The binding of cosmological structures by massless topological defects
Sérgio Sacani
 

Recently uploaded (20)

waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdfwaterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
 
Equivariant neural networks and representation theory
Equivariant neural networks and representation theoryEquivariant neural networks and representation theory
Equivariant neural networks and representation theory
 
molar-distalization in orthodontics-seminar.pptx
molar-distalization in orthodontics-seminar.pptxmolar-distalization in orthodontics-seminar.pptx
molar-distalization in orthodontics-seminar.pptx
 
Deep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless ReproducibilityDeep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless Reproducibility
 
Applied Science: Thermodynamics, Laws & Methodology.pdf
Applied Science: Thermodynamics, Laws & Methodology.pdfApplied Science: Thermodynamics, Laws & Methodology.pdf
Applied Science: Thermodynamics, Laws & Methodology.pdf
 
Randomised Optimisation Algorithms in DAPHNE
Randomised Optimisation Algorithms in DAPHNERandomised Optimisation Algorithms in DAPHNE
Randomised Optimisation Algorithms in DAPHNE
 
在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样
在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样
在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样
 
Bob Reedy - Nitrate in Texas Groundwater.pdf
Bob Reedy - Nitrate in Texas Groundwater.pdfBob Reedy - Nitrate in Texas Groundwater.pdf
Bob Reedy - Nitrate in Texas Groundwater.pdf
 
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
 
The debris of the ‘last major merger’ is dynamically young
The debris of the ‘last major merger’ is dynamically youngThe debris of the ‘last major merger’ is dynamically young
The debris of the ‘last major merger’ is dynamically young
 
Basics of crystallography, crystal systems, classes and different forms
Basics of crystallography, crystal systems, classes and different formsBasics of crystallography, crystal systems, classes and different forms
Basics of crystallography, crystal systems, classes and different forms
 
8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf
 
Thornton ESPP slides UK WW Network 4_6_24.pdf
Thornton ESPP slides UK WW Network 4_6_24.pdfThornton ESPP slides UK WW Network 4_6_24.pdf
Thornton ESPP slides UK WW Network 4_6_24.pdf
 
SAR of Medicinal Chemistry 1st by dk.pdf
SAR of Medicinal Chemistry 1st by dk.pdfSAR of Medicinal Chemistry 1st by dk.pdf
SAR of Medicinal Chemistry 1st by dk.pdf
 
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
 
Oedema_types_causes_pathophysiology.pptx
Oedema_types_causes_pathophysiology.pptxOedema_types_causes_pathophysiology.pptx
Oedema_types_causes_pathophysiology.pptx
 
20240520 Planning a Circuit Simulator in JavaScript.pptx
20240520 Planning a Circuit Simulator in JavaScript.pptx20240520 Planning a Circuit Simulator in JavaScript.pptx
20240520 Planning a Circuit Simulator in JavaScript.pptx
 
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...
 
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...Describing and Interpreting an Immersive Learning Case with the Immersion Cub...
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...
 
The binding of cosmological structures by massless topological defects
The binding of cosmological structures by massless topological defectsThe binding of cosmological structures by massless topological defects
The binding of cosmological structures by massless topological defects
 

Mini-Thomas-ppt.pptx

  • 1. SEQUENCES AND SERIES OF FUNCTIONS Prof. Mini Thomas Department of Mathematics
  • 2. CONTENT  INTRODUCTION  POINTWISE CONVERGENCE AND UNIFORM CONVERGENCE OF SEQUENCES OF FUNCTIONS  CAUCHYʹ S CRITERION FOR UNIFORM CONVERGENCE  THEOREMS  UNIFORM CONVERGENCE AND CONTINUITY  DEFINITION  CONCLUSION  REFERENCES
  • 3. INTRODUCTION  In Mathematics , real analysis is the branch of mathematical analysis that studies the behavior of real numbers ,sequences and series of real numbers and real valued functions .Some particular properties of real –valued sequences and functions that real analysis studies include convergence , limits , continuity , smoothness , differentiability and integrability .
  • 4. POINTWISE CONVERGENCE AND UNIFORM CONVERGENCE OF SEQUENCES OF FUNCTIONS  Definition ( Pointwise convergence ) Suppose {fn} be a sequence of functions defined on a set E and suppose that the sequence of numbers {fn₍ₓ₎} converges for every xϵE we can define a function f by f₍ₓ₎= limn→∞ fn₍ₓ₎ , xϵE And we say that {fn} → f pointwise on E or simply , {fn} converges on E and that f is the limit or the limit function of {fn}. ⦁Definition (Uniform convergence) A sequence of functions {fn} is said to converge uniformly on E to a function if for every ɛ˃ 0 , their exist N such that n ≥N implies │fn₍ₓ₎−f₍ₓ₎│≤ɛ , for all xϵE
  • 5. CAUCHY ‘S CRITERION FOR UNIFORM CONVERGENCE  THEOREM : The sequence of functions {fn} defined on E , converges uniformly on E iff for every ɛ˃0 their exist an integer N such that m,n ≥N , xϵE implies │fn₍ₓ₎─ fm₍ₓ₎│≤ɛ
  • 6. THEOREMS  THEOREM 1: Suppose limn→∞ fn₍ₓ₎ = f₍ₓ₎ , xϵE put Mn = xϵEsup│fn₍ₓ₎─f₍ₓ₎│ then fn→f uniformly on E iff Mn→0 as n→∞  THEOREM 2 (WEIERSTRASS M-TEST FOR UNIFORM CONVERGENCE OF SERIES ) : Suppose {fn} is a sequence of functions defined on E and suppose │fn₍ₓ₎│≤Mn , for all xϵE and n= 1,2,3,…… then ∑fn converges uniformly on E if ∑Mn converges
  • 7. UNIFORM CONVERGENCE AND CONTINUITY  THEOREM Suppose fn converges to f uniformly on a set E in a metric space . Let x be a limit point of E and suppose that limt→x fn ₍t₎= An ,n=1,2,3,. then {An} converges and limt→x f₍t₎ = limn→∞ An
  • 8.  THEOREM : If {fn} is a sequence of continuous functions on E and if fn converges to f uniformly on E then f is continuous on E  THEOREM : suppose k is compact a) {fn} is a sequence of continuous functions on k b) {fn} converges pointwise to a continuous function f on k c) fn₍ₓ₎ ≥ fn+1₍ₓ₎ , for every xϵk , n =1,2,… then fn converges to f uniformly on k
  • 9. DEFINITION Let X be a metric space then the set of all complex valued continues bounded functions with domain x is denoted by Ҫ₍ₓ₎ . If f is a continuous function on a compact metric space then f is bounded . So if x is compact Ҫ₍ₓ₎ consists of complex valued continuous functions on X . Let fϵҪ₍ₓ₎ then define ǁ f ǁ = xϵXsup │f₍ₓ₎│, then ǁ ǁ is a norm on Ҫ₍ₓ₎ and is called supremum norm
  • 10. CONCLUSION The difference between the uniform convergence and pointwise convergence is that if {fn} converges uniformly on E which is possible for each ԑ>0 to find one integer N which will do for all xϵE so in case of uniform convergence N depends only on ԑ and in case of pointwise convergence N depends on ϵ and x
  • 11. REFERENCES WALTER RUDIN, Principles Mathematical analysis (Third edition) , McGraw Hill Book Company , International Editions. Chapter 7 Section 7.1- 7.18