SlideShare a Scribd company logo
1 of 28
Submitted to:
 Ma’am Mehak
Submitted by:
 Beenish Ebad
 Bushra Razzaq
Subject :
 Math -B
Content:
Topics
Definition of Cauchy Sequence
Example of Cauchy Sequence
Result of Cauchy Sequence
Definition of Subsequence
Example of Subsequence
Result of Subsequence
Definition of Sub sequential Limit
Example of Sub sequential
Definition of Complete Metric Space
Example of Complete Metric Space
Results of Complete Metric Space
Application of Complete Metric Space
Cauchy sequence
EXAMPLE NO: 01
Show that every convergent sequence of real numbers is a
Cauchy sequence.
Proof:
 Let 𝑿 𝒏 be a convergent sequence of real numbers.
 Let 𝐱𝛜𝐑 𝐛𝐞 𝐢𝐭𝐬 𝐥𝐢𝐦𝐢𝐭 ,
 Then, we have to show that,
 𝑿 𝒏 𝐢𝐬 𝐚 𝐜𝐚𝐮𝐜𝐡𝐲 𝐬𝐞𝐪𝐮𝐞𝐧𝐜𝐞
 For this,
 Let ∈> 𝟎 𝐛𝐞 𝐚𝐧𝐲 𝐫𝐞𝐚𝐥 𝐧𝐮𝐦𝐛𝐞𝐫.
 Since, 𝑿 𝒏 𝐜𝐨𝐧𝐯𝐞𝐫𝐠𝐞𝐬 𝐭𝐨 𝐗, 𝐬𝐨 𝐟𝐨𝐫 ∈> 𝟎, 𝐭here exist a
positive integer n1.
 ⇒ 𝐝 𝑿 𝒏, 𝑿 = 𝑿 𝒏, 𝑿 <
𝟏
𝟐
𝛜, ∀ 𝐧 ≥ 𝒏 𝟏. .. . . . .. . . . (1)
 Similarly,
 For 𝛜 > 𝟎, 𝐭𝐡𝐞𝐫𝐞 𝐞𝐱ist a positive integer n2
 ⇒ 𝐝 𝑿 𝒎, 𝑿 = 𝑿 𝒎, 𝑿 <
𝟏
𝟐
𝛜, ∀ 𝐦 ≥ 𝒏 𝟐. .. . . . .. . . . (2)
Cont.….
 Let n0 = max 𝒏 𝟏, 𝒏 𝟐
 Then from e.q (1)
 ⇒ 𝒅 𝑿 𝒏, 𝑿 = 𝑿 𝒏, 𝑿 <
𝟏
𝟐
𝝐, ∀ 𝒏 ≥ 𝒏 𝟎. .. . . . .. . . . (3)
 From e.q (2)
 ⇒ 𝒅 𝑿 𝒎, 𝑿 = 𝑿 𝒎, 𝑿 <
𝟏
𝟐
𝝐, ∀ 𝒎 ≥ 𝒏 𝟎. .. . . . .. . . . (4)
 Adding e.q (3) and (4)
 ⇒ 𝒅 𝑿 𝒎, 𝑿 + 𝒅 𝑿 𝒏, 𝑿 <
𝟏
𝟐
𝝐 +
𝟏
𝟐
𝝐, ∀ 𝒎, 𝒏 ≥ 𝒏 𝟎
 ⇒ 𝒅 𝑿 𝒎, 𝑿 + 𝒅 𝑿, 𝑿 𝒏 < 𝝐, ∀𝒎 , 𝒏 ≥ 𝒏 𝟎
 ⇒ 𝐝 𝑿 𝒎, 𝑿 𝒏 < 𝐝 𝑿 𝒎, 𝑿 + 𝐝 𝐗, 𝑿 𝒏 < 𝛜, ∀𝐦 , 𝐧 ≥ 𝒏 𝟎
 ⇒ 𝒅 𝑿 𝒎, 𝑿 𝒏 < 𝝐, ∀𝒎 , 𝒏 ≥ 𝒏 𝟎
 This shows that 𝑿 𝒏 𝒊𝒔 𝒂 𝒄𝒂𝒖𝒄𝒉𝒚 𝒔𝒆𝒒𝒖𝒆𝒏𝒄𝒆.
Results related to Cauchy
sequence:
 Every Cauchy sequence in a metric space
is bounded.
 The Cauchy sequence in a discrete metric
space becomes constant after a finite no
of terms.
SUBSEQUENCES:
 let 𝒙 𝒏 𝐛𝐞 𝐚 𝐬𝐞𝐪𝐮𝐞𝐧𝐜𝐞 𝐢𝐧 𝐚 𝐦𝐞𝐭𝐫𝐢𝐜 𝐬𝐩𝐚𝐜𝐞 𝐗.
 𝐜𝐨𝐧𝐜𝐢𝐝𝐞𝐫 𝐚 𝐬𝐞𝐪𝐮𝐞𝐧𝐜𝐞 𝒏 𝒌 𝐨𝐟 𝐩𝐨𝐬𝐢𝐭𝐢𝐯𝐞 𝐢𝐧𝐭𝐞𝐠𝐞𝐫𝐬
 𝐬𝐮𝐜𝐡 𝐭𝐡𝐚𝐭 𝒏 𝟏 > 𝒏 𝟐 > 𝒏 𝟑. . . . . . . ,
 𝐭𝐡𝐞𝐧 𝐭𝐡𝐞 𝐬𝐞𝐪𝐮𝐞𝐧𝐜𝐞 𝒙 𝒏 𝒌
𝐢𝐬 𝐜𝐚𝐥𝐥𝐞𝐝 𝐭𝐡𝐞 𝐬𝐮𝐛𝐬𝐞𝐪𝐮𝐞𝐧𝐜𝐞 𝐨𝐟 𝒙 𝒏
Example :
IF A SEQUENCE
𝒙 𝒏 𝒐𝒇 𝒓𝒆𝒂𝒍 𝒏𝒖𝒎𝒃𝒆𝒓𝒔 𝒄𝒐𝒏𝒗𝒆𝒓𝒈𝒆𝒔 𝒕𝒐 𝒂 𝒑𝒐𝒊𝒏𝒕 𝒙, 𝒕𝒉𝒆𝒏 𝒔𝒉𝒐𝒘 𝒕𝒉𝒂𝒕 𝒆𝒗𝒆𝒓𝒚 𝒔𝒖𝒃𝒔𝒆𝒒𝒖𝒆𝒏𝒄𝒆 𝒐𝒇 𝒙 𝒏
CONVERGES TO X
 Let 𝒙 𝒏 𝒌
be any sequence of 𝒙 𝒏 .
 since 𝒙 𝒏 converges to x, so for ε > 0
 there exists a positive integer 𝒏 𝟎
 such that,
 ⇒ 𝐝 𝑿 𝒏, 𝑿 = 𝑿 𝒏, 𝑿 < 𝛜, ∀ 𝐧 ≥ 𝒏 𝟎
 In particular,
 ⇒ 𝐝 𝑿 𝒏 𝒌
, 𝑿 = 𝑿 𝒏 𝒌
, 𝑿 < 𝛜, ∀ 𝒏 𝒌 ≥ 𝒏 𝟎
 This shows that the subsequence 𝒙 𝒏 𝒌
of 𝒙 𝒏 also
converges to x.
 Hence any subsequence of 𝒙 𝒏 converges to x.
Results related to subsequence
 If a sequence of 𝐱 𝐧 converges to a point
x in a metric space X, Then every
subsequence of 𝐱 𝐧 Converges to x.
 Every Cauchy sequence in a metric space
converges if and only if it has a
convergent subsequence
SUB SEQUENTIAL LIMIT:
 Let xn be a sequence in a metric space X.
and xnk
be a subsequence of xn , if the
subsequence xnk
converges, then its limit is
called sub sequential limit of the sequence xn .
EXAMPLE:
Consider a sequence 𝒙 𝒏 in an R with nth term defined as
𝒙 𝒏 =
𝒏 , 𝒊𝒇 𝒏 𝒊𝒔 𝒆𝒗𝒆𝒏
𝟏
𝒏
, 𝒊𝒇 𝒏 𝒊𝒔 𝒐𝒅𝒅
 Then,

𝟏
𝒏
𝒄𝒐𝒏𝒗𝒆𝒓𝒈𝒆𝒔 𝒕𝒐 𝟎,
 And so,

𝟏
𝒏
is a convergent sub sequence of 𝒙 𝒏 ,
 but the sequence 𝒙 𝒏 itself does not
converge.
 Here 0 is the sub sequential limit of 𝒙 𝒏 .
Complete metric space
Definition:
 A complete metric space a metric space in
every Cauchy sequence is convergent.
 This definition means that if {𝑥 𝑛 } is any
Cauchy sequence in a complete metric space
X, then it should converge to some point of X.
Example:
 X=├]0,1┤[ is not a complete metric space,
because {𝑥 𝑛 }={1/n} is a Cauchy sequence
in]0,1[ and tends to converge at 0 but 0 Ɇ X
=]0,1[. so, {𝑥 𝑛 }={1/n} is not a convergent
sequence in X.
APPLICATIONS:
• Complete metric space is important in
computer forensics and cryptography in securing
data and information.
• It has direct application to elliptic curve
cryptography.
• Hence, this enhances application in ICT
and other areas of computer.
 Theorem 1:
Every discrete metric space is complete metric space.
 Theorem 2:
A subspace Y of a complete metric space X is complete if
and only if Y is closed in X
Example no 1:
Show that the space C of complex
numbers is complete
Solution:
In order to prove that C is complete, we have to show
that every Cauchy sequence in C converges in C.
Let 𝑧 𝑛 be Cauchy sequence in C.
Let∈> 0, then by definition of Cauchy sequence, there
exist a natural number 𝑛° such that
𝑍 𝑚 − 𝑍 𝑛 <∈, ∀𝑚, 𝑛 ≥ 𝑛° ……….. (1)
𝑋 𝑚 − 𝑋 𝑛 ≤ (𝑋 𝑚 − 𝑋 𝑛)2+(𝑌 𝑚 − 𝑌𝑛)2 = 𝑍 𝑚 − 𝑍 𝑛
𝑋 𝑚 − 𝑋 𝑛 ≤ 𝑍 𝑚 − 𝑍 𝑛 ……… (2)
𝑌 𝑚 − 𝑌𝑛 ≤ 𝑍 𝑚 − 𝑍 𝑛 ………. (3)
Combine (1) and (2)
𝑋 𝑚 − 𝑋 𝑛 <∈, ∀ 𝑚, 𝑛 ≥ 𝑛° ………. (4)
Combine (1) and (3)
𝑌 𝑚 − 𝑌𝑛 <∈ , ∀ 𝑚, 𝑛 ≥ 𝑛° ………. (5)
(4) and (5) show that 𝑋 𝑛 and 𝑌𝑛 are Cauchy sequence
of real numbers.
Since R is complete, so𝑋 𝑛 → 𝑋 ∈ 𝑅 𝑎𝑛𝑑 𝑌𝑛 → 𝑌 ∈ 𝑅,
(ii) There exist natural numbers 𝑛1 𝑎𝑛𝑑 𝑛2 such that
𝑋 𝑛 − 𝑋 <
∈
2
, ∀ 𝑛 ≥ 𝑛1 and
𝑌𝑛 − 𝑌 <
∈
2
, ∀ 𝑛 ≥ 𝑛2
If 𝑛′ = 𝑚𝑎𝑥 𝑛1, 𝑛2 , then above expressions become
𝑋 𝑛 − 𝑋 <
∈
2
, ∀ 𝑛 ≥ 𝑛′ and
𝑌𝑛 − 𝑌 <
∈
2
, ∀ 𝑛 ≥ 𝑛′ ……. (6)
𝑍 𝑛 − 𝑍 = (𝑋 𝑚 − 𝑋 𝑛)2+(𝑌 𝑚 − 𝑌)2 <
∈2
2
+
∈2
2
,
∀ 𝑛 ≥ 𝑛′
𝑍 𝑛 − 𝑍 <∈ , ∀ 𝑛 ≥ 𝑛′
This show that 𝑍 𝑛 converges in C, so C is
complete.
Example 3:
If (X, d1) and (Y, d2) are complete metric spaces then
show that the product space X× 𝒀 with metric
d 𝒙 𝟏, 𝒚 𝟏 , (𝒙 𝟐, 𝒚 𝟐) = 𝒅 𝟏(𝒙 𝟏, 𝒙 𝟐) 𝟐 + 𝒅 𝟐(𝒚 𝟏, 𝒚 𝟐) 𝟐 is a
complete metric space.
Solution:
In order to prove that X× 𝑌is complete, we have to show
that every Cauchy sequence in X× 𝑌 converges in X× 𝑌.
Let 𝑧 𝑛 be any Cauchy sequence in X× Y, where zn =
(xn , yn) ∈ X× Y.
Let ∈ >0, then by the definition of Cauchy sequence, there exist
a natural number 𝑛° such that
d (zm , zn) >∈ , ∀ 𝑚, 𝑛 ≥ 𝑛°
𝑑1(𝑥 𝑚, 𝑥 𝑛) 2 + 𝑑2(𝑦 𝑚, 𝑦𝑛) 2 < ∈ , ∀ 𝑚 , 𝑛 ≥ 𝑛°
𝑑1(𝑥 𝑚 , 𝑥 𝑛) 2 + 𝑑2(𝑦 𝑚, 𝑦𝑛) 2 → 0 𝑎𝑠 𝑚 , 𝑛 → ∞
𝑑1(𝑥 𝑚 , 𝑥 𝑛) 2
+ 𝑑2(𝑦 𝑚, 𝑦𝑛) 2
→ 0 𝑎𝑠 𝑚 , 𝑛 → ∞
𝑑1 𝑥 𝑚 , 𝑥 𝑛 → 0 𝑎𝑠 𝑚 , 𝑛 → ∞ and 𝑑2(𝑦 𝑚, 𝑦𝑛) →
0 𝑎𝑠 𝑚 , 𝑛 → ∞
This show that 𝑥 𝑛 and 𝑦𝑛 are Cauchy sequences in
X and Y respectively.
Since X and Y are complete, so xn →
x ∈
X , yn →
y ∈ 𝑌.
Therefore, (xn , yn)→
(x, y) ∈ X× Y, i.e zn →
(x,y) ∈ 𝑋 × 𝑌.
This show that 𝑧 𝑛 converges in X× Y, so X× Y is
complete
Metric space
Metric space

More Related Content

What's hot

Riemann integration
Riemann integrationRiemann integration
Riemann integrationRahul_Raj_1
 
TOPOLOGY and TYPES OF TOPOLOGY PowerPoint
TOPOLOGY and TYPES OF TOPOLOGY PowerPointTOPOLOGY and TYPES OF TOPOLOGY PowerPoint
TOPOLOGY and TYPES OF TOPOLOGY PowerPointAqsaAhmed26
 
Linear algebra-Basis & Dimension
Linear algebra-Basis & DimensionLinear algebra-Basis & Dimension
Linear algebra-Basis & DimensionManikanta satyala
 
Unit 1: Topological spaces (its definition and definition of open sets)
Unit 1:  Topological spaces (its definition and definition of open sets)Unit 1:  Topological spaces (its definition and definition of open sets)
Unit 1: Topological spaces (its definition and definition of open sets)nasserfuzt
 
Definition ofvectorspace
Definition ofvectorspaceDefinition ofvectorspace
Definition ofvectorspaceTanuj Parikh
 
Relations and functions
Relations and functions Relations and functions
Relations and functions Seyid Kadher
 
Lesson 5: Continuity (slides)
Lesson 5: Continuity (slides)Lesson 5: Continuity (slides)
Lesson 5: Continuity (slides)Matthew Leingang
 
Homogeneous Linear Differential Equations
 Homogeneous Linear Differential Equations Homogeneous Linear Differential Equations
Homogeneous Linear Differential EquationsAMINULISLAM439
 
Partial differential equations
Partial differential equationsPartial differential equations
Partial differential equationsaman1894
 
Limits And Derivative
Limits And DerivativeLimits And Derivative
Limits And DerivativeAshams kurian
 

What's hot (20)

Riemann integration
Riemann integrationRiemann integration
Riemann integration
 
MEAN VALUE THEOREM
MEAN VALUE THEOREMMEAN VALUE THEOREM
MEAN VALUE THEOREM
 
TOPOLOGY and TYPES OF TOPOLOGY PowerPoint
TOPOLOGY and TYPES OF TOPOLOGY PowerPointTOPOLOGY and TYPES OF TOPOLOGY PowerPoint
TOPOLOGY and TYPES OF TOPOLOGY PowerPoint
 
Linear algebra-Basis & Dimension
Linear algebra-Basis & DimensionLinear algebra-Basis & Dimension
Linear algebra-Basis & Dimension
 
Power series
Power seriesPower series
Power series
 
Unit 1: Topological spaces (its definition and definition of open sets)
Unit 1:  Topological spaces (its definition and definition of open sets)Unit 1:  Topological spaces (its definition and definition of open sets)
Unit 1: Topological spaces (its definition and definition of open sets)
 
Definition ofvectorspace
Definition ofvectorspaceDefinition ofvectorspace
Definition ofvectorspace
 
topology definitions
 topology definitions topology definitions
topology definitions
 
ABSTRACT ALGEBRA
ABSTRACT ALGEBRAABSTRACT ALGEBRA
ABSTRACT ALGEBRA
 
Relations and functions
Relations and functions Relations and functions
Relations and functions
 
Lesson 5: Continuity (slides)
Lesson 5: Continuity (slides)Lesson 5: Continuity (slides)
Lesson 5: Continuity (slides)
 
Integration Ppt
Integration PptIntegration Ppt
Integration Ppt
 
Homogeneous Linear Differential Equations
 Homogeneous Linear Differential Equations Homogeneous Linear Differential Equations
Homogeneous Linear Differential Equations
 
Cramer's Rule
Cramer's RuleCramer's Rule
Cramer's Rule
 
Vector space
Vector spaceVector space
Vector space
 
Partial differential equations
Partial differential equationsPartial differential equations
Partial differential equations
 
Limits And Derivative
Limits And DerivativeLimits And Derivative
Limits And Derivative
 
Roll's theorem
Roll's theoremRoll's theorem
Roll's theorem
 
Functional analysis
Functional analysis Functional analysis
Functional analysis
 
metric spaces
metric spacesmetric spaces
metric spaces
 

Similar to Metric space

Matrix Transformations on Some Difference Sequence Spaces
Matrix Transformations on Some Difference Sequence SpacesMatrix Transformations on Some Difference Sequence Spaces
Matrix Transformations on Some Difference Sequence SpacesIOSR Journals
 
Generalised Statistical Convergence For Double Sequences
Generalised Statistical Convergence For Double SequencesGeneralised Statistical Convergence For Double Sequences
Generalised Statistical Convergence For Double SequencesIOSR Journals
 
Boolean Programs and Quantified Propositional Proof System -
Boolean Programs and Quantified Propositional Proof System - Boolean Programs and Quantified Propositional Proof System -
Boolean Programs and Quantified Propositional Proof System - Michael Soltys
 
02 - Discrete-Time Markov Models - incomplete.pptx
02 - Discrete-Time Markov Models - incomplete.pptx02 - Discrete-Time Markov Models - incomplete.pptx
02 - Discrete-Time Markov Models - incomplete.pptxAntonioDapporto1
 
Some properties of two-fuzzy Nor med spaces
Some properties of two-fuzzy Nor med spacesSome properties of two-fuzzy Nor med spaces
Some properties of two-fuzzy Nor med spacesIOSR Journals
 
Dual Spaces of Generalized Cesaro Sequence Space and Related Matrix Mapping
Dual Spaces of Generalized Cesaro Sequence Space and Related Matrix MappingDual Spaces of Generalized Cesaro Sequence Space and Related Matrix Mapping
Dual Spaces of Generalized Cesaro Sequence Space and Related Matrix Mappinginventionjournals
 
Matrix Transformations on Paranormed Sequence Spaces Related To De La Vallée-...
Matrix Transformations on Paranormed Sequence Spaces Related To De La Vallée-...Matrix Transformations on Paranormed Sequence Spaces Related To De La Vallée-...
Matrix Transformations on Paranormed Sequence Spaces Related To De La Vallée-...inventionjournals
 
Teorema balzano weierstrass
Teorema balzano weierstrassTeorema balzano weierstrass
Teorema balzano weierstrassfitriasolihah1
 
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...mathsjournal
 
Uniform Boundedness of Shift Operators
Uniform Boundedness of Shift OperatorsUniform Boundedness of Shift Operators
Uniform Boundedness of Shift Operatorsiosrjce
 
Artyom Makovetskii - An Efficient Algorithm for Total Variation Denoising
Artyom Makovetskii - An Efficient Algorithm for Total Variation DenoisingArtyom Makovetskii - An Efficient Algorithm for Total Variation Denoising
Artyom Makovetskii - An Efficient Algorithm for Total Variation DenoisingAIST
 

Similar to Metric space (20)

Matrix Transformations on Some Difference Sequence Spaces
Matrix Transformations on Some Difference Sequence SpacesMatrix Transformations on Some Difference Sequence Spaces
Matrix Transformations on Some Difference Sequence Spaces
 
Generalised Statistical Convergence For Double Sequences
Generalised Statistical Convergence For Double SequencesGeneralised Statistical Convergence For Double Sequences
Generalised Statistical Convergence For Double Sequences
 
Boolean Programs and Quantified Propositional Proof System -
Boolean Programs and Quantified Propositional Proof System - Boolean Programs and Quantified Propositional Proof System -
Boolean Programs and Quantified Propositional Proof System -
 
Waveguides
WaveguidesWaveguides
Waveguides
 
02 - Discrete-Time Markov Models - incomplete.pptx
02 - Discrete-Time Markov Models - incomplete.pptx02 - Discrete-Time Markov Models - incomplete.pptx
02 - Discrete-Time Markov Models - incomplete.pptx
 
Some properties of two-fuzzy Nor med spaces
Some properties of two-fuzzy Nor med spacesSome properties of two-fuzzy Nor med spaces
Some properties of two-fuzzy Nor med spaces
 
Fuzzy algebra
Fuzzy algebra Fuzzy algebra
Fuzzy algebra
 
Dual Spaces of Generalized Cesaro Sequence Space and Related Matrix Mapping
Dual Spaces of Generalized Cesaro Sequence Space and Related Matrix MappingDual Spaces of Generalized Cesaro Sequence Space and Related Matrix Mapping
Dual Spaces of Generalized Cesaro Sequence Space and Related Matrix Mapping
 
AJMS_482_23.pdf
AJMS_482_23.pdfAJMS_482_23.pdf
AJMS_482_23.pdf
 
The wkb approximation..
The wkb approximation..The wkb approximation..
The wkb approximation..
 
The wkb approximation
The wkb approximationThe wkb approximation
The wkb approximation
 
Matrix Transformations on Paranormed Sequence Spaces Related To De La Vallée-...
Matrix Transformations on Paranormed Sequence Spaces Related To De La Vallée-...Matrix Transformations on Paranormed Sequence Spaces Related To De La Vallée-...
Matrix Transformations on Paranormed Sequence Spaces Related To De La Vallée-...
 
Teorema balzano weierstrass
Teorema balzano weierstrassTeorema balzano weierstrass
Teorema balzano weierstrass
 
2 vectors notes
2 vectors notes2 vectors notes
2 vectors notes
 
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
 
Ch05 1
Ch05 1Ch05 1
Ch05 1
 
Uniform Boundedness of Shift Operators
Uniform Boundedness of Shift OperatorsUniform Boundedness of Shift Operators
Uniform Boundedness of Shift Operators
 
lec10.ppt
lec10.pptlec10.ppt
lec10.ppt
 
Power series
Power seriesPower series
Power series
 
Artyom Makovetskii - An Efficient Algorithm for Total Variation Denoising
Artyom Makovetskii - An Efficient Algorithm for Total Variation DenoisingArtyom Makovetskii - An Efficient Algorithm for Total Variation Denoising
Artyom Makovetskii - An Efficient Algorithm for Total Variation Denoising
 

Recently uploaded

Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdfssuser54595a
 
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...M56BOOKSTORE PRODUCT/SERVICE
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17Celine George
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
Concept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfConcept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfUmakantAnnand
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 
Class 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfClass 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfakmcokerachita
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfSumit Tiwari
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentInMediaRes1
 

Recently uploaded (20)

Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
 
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
Concept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfConcept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.Compdf
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 
Class 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfClass 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdf
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media Component
 

Metric space

  • 1.
  • 2. Submitted to:  Ma’am Mehak Submitted by:  Beenish Ebad  Bushra Razzaq Subject :  Math -B
  • 3. Content: Topics Definition of Cauchy Sequence Example of Cauchy Sequence Result of Cauchy Sequence Definition of Subsequence Example of Subsequence Result of Subsequence Definition of Sub sequential Limit Example of Sub sequential Definition of Complete Metric Space Example of Complete Metric Space Results of Complete Metric Space Application of Complete Metric Space
  • 4.
  • 6. EXAMPLE NO: 01 Show that every convergent sequence of real numbers is a Cauchy sequence. Proof:  Let 𝑿 𝒏 be a convergent sequence of real numbers.  Let 𝐱𝛜𝐑 𝐛𝐞 𝐢𝐭𝐬 𝐥𝐢𝐦𝐢𝐭 ,  Then, we have to show that,  𝑿 𝒏 𝐢𝐬 𝐚 𝐜𝐚𝐮𝐜𝐡𝐲 𝐬𝐞𝐪𝐮𝐞𝐧𝐜𝐞  For this,  Let ∈> 𝟎 𝐛𝐞 𝐚𝐧𝐲 𝐫𝐞𝐚𝐥 𝐧𝐮𝐦𝐛𝐞𝐫.  Since, 𝑿 𝒏 𝐜𝐨𝐧𝐯𝐞𝐫𝐠𝐞𝐬 𝐭𝐨 𝐗, 𝐬𝐨 𝐟𝐨𝐫 ∈> 𝟎, 𝐭here exist a positive integer n1.  ⇒ 𝐝 𝑿 𝒏, 𝑿 = 𝑿 𝒏, 𝑿 < 𝟏 𝟐 𝛜, ∀ 𝐧 ≥ 𝒏 𝟏. .. . . . .. . . . (1)  Similarly,  For 𝛜 > 𝟎, 𝐭𝐡𝐞𝐫𝐞 𝐞𝐱ist a positive integer n2  ⇒ 𝐝 𝑿 𝒎, 𝑿 = 𝑿 𝒎, 𝑿 < 𝟏 𝟐 𝛜, ∀ 𝐦 ≥ 𝒏 𝟐. .. . . . .. . . . (2)
  • 7. Cont.….  Let n0 = max 𝒏 𝟏, 𝒏 𝟐  Then from e.q (1)  ⇒ 𝒅 𝑿 𝒏, 𝑿 = 𝑿 𝒏, 𝑿 < 𝟏 𝟐 𝝐, ∀ 𝒏 ≥ 𝒏 𝟎. .. . . . .. . . . (3)  From e.q (2)  ⇒ 𝒅 𝑿 𝒎, 𝑿 = 𝑿 𝒎, 𝑿 < 𝟏 𝟐 𝝐, ∀ 𝒎 ≥ 𝒏 𝟎. .. . . . .. . . . (4)  Adding e.q (3) and (4)  ⇒ 𝒅 𝑿 𝒎, 𝑿 + 𝒅 𝑿 𝒏, 𝑿 < 𝟏 𝟐 𝝐 + 𝟏 𝟐 𝝐, ∀ 𝒎, 𝒏 ≥ 𝒏 𝟎  ⇒ 𝒅 𝑿 𝒎, 𝑿 + 𝒅 𝑿, 𝑿 𝒏 < 𝝐, ∀𝒎 , 𝒏 ≥ 𝒏 𝟎  ⇒ 𝐝 𝑿 𝒎, 𝑿 𝒏 < 𝐝 𝑿 𝒎, 𝑿 + 𝐝 𝐗, 𝑿 𝒏 < 𝛜, ∀𝐦 , 𝐧 ≥ 𝒏 𝟎  ⇒ 𝒅 𝑿 𝒎, 𝑿 𝒏 < 𝝐, ∀𝒎 , 𝒏 ≥ 𝒏 𝟎  This shows that 𝑿 𝒏 𝒊𝒔 𝒂 𝒄𝒂𝒖𝒄𝒉𝒚 𝒔𝒆𝒒𝒖𝒆𝒏𝒄𝒆.
  • 8. Results related to Cauchy sequence:  Every Cauchy sequence in a metric space is bounded.  The Cauchy sequence in a discrete metric space becomes constant after a finite no of terms.
  • 9. SUBSEQUENCES:  let 𝒙 𝒏 𝐛𝐞 𝐚 𝐬𝐞𝐪𝐮𝐞𝐧𝐜𝐞 𝐢𝐧 𝐚 𝐦𝐞𝐭𝐫𝐢𝐜 𝐬𝐩𝐚𝐜𝐞 𝐗.  𝐜𝐨𝐧𝐜𝐢𝐝𝐞𝐫 𝐚 𝐬𝐞𝐪𝐮𝐞𝐧𝐜𝐞 𝒏 𝒌 𝐨𝐟 𝐩𝐨𝐬𝐢𝐭𝐢𝐯𝐞 𝐢𝐧𝐭𝐞𝐠𝐞𝐫𝐬  𝐬𝐮𝐜𝐡 𝐭𝐡𝐚𝐭 𝒏 𝟏 > 𝒏 𝟐 > 𝒏 𝟑. . . . . . . ,  𝐭𝐡𝐞𝐧 𝐭𝐡𝐞 𝐬𝐞𝐪𝐮𝐞𝐧𝐜𝐞 𝒙 𝒏 𝒌 𝐢𝐬 𝐜𝐚𝐥𝐥𝐞𝐝 𝐭𝐡𝐞 𝐬𝐮𝐛𝐬𝐞𝐪𝐮𝐞𝐧𝐜𝐞 𝐨𝐟 𝒙 𝒏
  • 10. Example : IF A SEQUENCE 𝒙 𝒏 𝒐𝒇 𝒓𝒆𝒂𝒍 𝒏𝒖𝒎𝒃𝒆𝒓𝒔 𝒄𝒐𝒏𝒗𝒆𝒓𝒈𝒆𝒔 𝒕𝒐 𝒂 𝒑𝒐𝒊𝒏𝒕 𝒙, 𝒕𝒉𝒆𝒏 𝒔𝒉𝒐𝒘 𝒕𝒉𝒂𝒕 𝒆𝒗𝒆𝒓𝒚 𝒔𝒖𝒃𝒔𝒆𝒒𝒖𝒆𝒏𝒄𝒆 𝒐𝒇 𝒙 𝒏 CONVERGES TO X  Let 𝒙 𝒏 𝒌 be any sequence of 𝒙 𝒏 .  since 𝒙 𝒏 converges to x, so for ε > 0  there exists a positive integer 𝒏 𝟎  such that,  ⇒ 𝐝 𝑿 𝒏, 𝑿 = 𝑿 𝒏, 𝑿 < 𝛜, ∀ 𝐧 ≥ 𝒏 𝟎  In particular,  ⇒ 𝐝 𝑿 𝒏 𝒌 , 𝑿 = 𝑿 𝒏 𝒌 , 𝑿 < 𝛜, ∀ 𝒏 𝒌 ≥ 𝒏 𝟎  This shows that the subsequence 𝒙 𝒏 𝒌 of 𝒙 𝒏 also converges to x.  Hence any subsequence of 𝒙 𝒏 converges to x.
  • 11. Results related to subsequence  If a sequence of 𝐱 𝐧 converges to a point x in a metric space X, Then every subsequence of 𝐱 𝐧 Converges to x.  Every Cauchy sequence in a metric space converges if and only if it has a convergent subsequence
  • 12. SUB SEQUENTIAL LIMIT:  Let xn be a sequence in a metric space X. and xnk be a subsequence of xn , if the subsequence xnk converges, then its limit is called sub sequential limit of the sequence xn .
  • 13. EXAMPLE: Consider a sequence 𝒙 𝒏 in an R with nth term defined as 𝒙 𝒏 = 𝒏 , 𝒊𝒇 𝒏 𝒊𝒔 𝒆𝒗𝒆𝒏 𝟏 𝒏 , 𝒊𝒇 𝒏 𝒊𝒔 𝒐𝒅𝒅  Then,  𝟏 𝒏 𝒄𝒐𝒏𝒗𝒆𝒓𝒈𝒆𝒔 𝒕𝒐 𝟎,  And so,  𝟏 𝒏 is a convergent sub sequence of 𝒙 𝒏 ,  but the sequence 𝒙 𝒏 itself does not converge.  Here 0 is the sub sequential limit of 𝒙 𝒏 .
  • 15. Definition:  A complete metric space a metric space in every Cauchy sequence is convergent.  This definition means that if {𝑥 𝑛 } is any Cauchy sequence in a complete metric space X, then it should converge to some point of X.
  • 16. Example:  X=├]0,1┤[ is not a complete metric space, because {𝑥 𝑛 }={1/n} is a Cauchy sequence in]0,1[ and tends to converge at 0 but 0 Ɇ X =]0,1[. so, {𝑥 𝑛 }={1/n} is not a convergent sequence in X.
  • 17. APPLICATIONS: • Complete metric space is important in computer forensics and cryptography in securing data and information. • It has direct application to elliptic curve cryptography. • Hence, this enhances application in ICT and other areas of computer.
  • 18.  Theorem 1: Every discrete metric space is complete metric space.  Theorem 2: A subspace Y of a complete metric space X is complete if and only if Y is closed in X
  • 19. Example no 1: Show that the space C of complex numbers is complete Solution: In order to prove that C is complete, we have to show that every Cauchy sequence in C converges in C. Let 𝑧 𝑛 be Cauchy sequence in C. Let∈> 0, then by definition of Cauchy sequence, there exist a natural number 𝑛° such that
  • 20. 𝑍 𝑚 − 𝑍 𝑛 <∈, ∀𝑚, 𝑛 ≥ 𝑛° ……….. (1) 𝑋 𝑚 − 𝑋 𝑛 ≤ (𝑋 𝑚 − 𝑋 𝑛)2+(𝑌 𝑚 − 𝑌𝑛)2 = 𝑍 𝑚 − 𝑍 𝑛 𝑋 𝑚 − 𝑋 𝑛 ≤ 𝑍 𝑚 − 𝑍 𝑛 ……… (2) 𝑌 𝑚 − 𝑌𝑛 ≤ 𝑍 𝑚 − 𝑍 𝑛 ………. (3) Combine (1) and (2) 𝑋 𝑚 − 𝑋 𝑛 <∈, ∀ 𝑚, 𝑛 ≥ 𝑛° ………. (4)
  • 21. Combine (1) and (3) 𝑌 𝑚 − 𝑌𝑛 <∈ , ∀ 𝑚, 𝑛 ≥ 𝑛° ………. (5) (4) and (5) show that 𝑋 𝑛 and 𝑌𝑛 are Cauchy sequence of real numbers. Since R is complete, so𝑋 𝑛 → 𝑋 ∈ 𝑅 𝑎𝑛𝑑 𝑌𝑛 → 𝑌 ∈ 𝑅,
  • 22. (ii) There exist natural numbers 𝑛1 𝑎𝑛𝑑 𝑛2 such that 𝑋 𝑛 − 𝑋 < ∈ 2 , ∀ 𝑛 ≥ 𝑛1 and 𝑌𝑛 − 𝑌 < ∈ 2 , ∀ 𝑛 ≥ 𝑛2 If 𝑛′ = 𝑚𝑎𝑥 𝑛1, 𝑛2 , then above expressions become 𝑋 𝑛 − 𝑋 < ∈ 2 , ∀ 𝑛 ≥ 𝑛′ and 𝑌𝑛 − 𝑌 < ∈ 2 , ∀ 𝑛 ≥ 𝑛′ ……. (6)
  • 23. 𝑍 𝑛 − 𝑍 = (𝑋 𝑚 − 𝑋 𝑛)2+(𝑌 𝑚 − 𝑌)2 < ∈2 2 + ∈2 2 , ∀ 𝑛 ≥ 𝑛′ 𝑍 𝑛 − 𝑍 <∈ , ∀ 𝑛 ≥ 𝑛′ This show that 𝑍 𝑛 converges in C, so C is complete.
  • 24. Example 3: If (X, d1) and (Y, d2) are complete metric spaces then show that the product space X× 𝒀 with metric d 𝒙 𝟏, 𝒚 𝟏 , (𝒙 𝟐, 𝒚 𝟐) = 𝒅 𝟏(𝒙 𝟏, 𝒙 𝟐) 𝟐 + 𝒅 𝟐(𝒚 𝟏, 𝒚 𝟐) 𝟐 is a complete metric space. Solution: In order to prove that X× 𝑌is complete, we have to show that every Cauchy sequence in X× 𝑌 converges in X× 𝑌. Let 𝑧 𝑛 be any Cauchy sequence in X× Y, where zn = (xn , yn) ∈ X× Y.
  • 25. Let ∈ >0, then by the definition of Cauchy sequence, there exist a natural number 𝑛° such that d (zm , zn) >∈ , ∀ 𝑚, 𝑛 ≥ 𝑛° 𝑑1(𝑥 𝑚, 𝑥 𝑛) 2 + 𝑑2(𝑦 𝑚, 𝑦𝑛) 2 < ∈ , ∀ 𝑚 , 𝑛 ≥ 𝑛° 𝑑1(𝑥 𝑚 , 𝑥 𝑛) 2 + 𝑑2(𝑦 𝑚, 𝑦𝑛) 2 → 0 𝑎𝑠 𝑚 , 𝑛 → ∞ 𝑑1(𝑥 𝑚 , 𝑥 𝑛) 2 + 𝑑2(𝑦 𝑚, 𝑦𝑛) 2 → 0 𝑎𝑠 𝑚 , 𝑛 → ∞ 𝑑1 𝑥 𝑚 , 𝑥 𝑛 → 0 𝑎𝑠 𝑚 , 𝑛 → ∞ and 𝑑2(𝑦 𝑚, 𝑦𝑛) → 0 𝑎𝑠 𝑚 , 𝑛 → ∞
  • 26. This show that 𝑥 𝑛 and 𝑦𝑛 are Cauchy sequences in X and Y respectively. Since X and Y are complete, so xn → x ∈ X , yn → y ∈ 𝑌. Therefore, (xn , yn)→ (x, y) ∈ X× Y, i.e zn → (x,y) ∈ 𝑋 × 𝑌. This show that 𝑧 𝑛 converges in X× Y, so X× Y is complete