SlideShare a Scribd company logo
Pratap College Amalner
T. Y. B. Sc.
Subject :- Mathematics
Metric Space
Prof. Nalini S. Patil
(HOD)
Mob. 9420941034, 9075881034
Metric Space
Metric Space
• Introduction
• Definition
• Example
Introduction
• Definition Absolute-value function on R
Let f : R R be a function defined by
f( x) = |x|= x if x > 0
= -x if x < 0
= 0 if x = 0
• Properties of absolute value function
i) |0| = 0
ii) |a| > 0 if a ≠ 0
iii) |a| = |-a|
iv) |a+b|≤ |a|+|b|
Introduction
• Now, for x, y real numbers, the geometric
interpretation of |x-y| is the distance from x
to y. If we define the “distance function” ρ by
ρ(x, y) = |x-y|
then the properties i) – iv) have the following
consequences for any points x, y, z real
numbers
Introduction
v) ρ(x, x) = |x-x| = 0
(i.e, the distance from a point to itself is 0)
vi) ρ(x, y) > 0 (x ≠ y)
(The distance between two distinct points is
strictly positive)
vii) ρ(x, y) = ρ(y, x)
(The distance from x to y is equal to the
distance from y to x.)
Introduction
viii) ρ(x, y) ≤ ρ(x, z) + ρ(z, y)
( triangle in equality)
Distance function satisfies v) – viii) properties
A Distance function is usually called a metric
Definition
• Definition : Let M be any set. A metric for M is
a function ρ with domain M M and range
is contained in [0, ) such that for any
element x, y, z of set M
ρ(x, x) = 0
ρ(x, y) > 0 (x ≠ y)
ρ(x, y) = ρ(y, x)
ρ(x, y) ≤ ρ(x, z) + ρ(z, y)
Definition
• If ρ is metric for M, then the order pair (M, ρ)
is called Metric Space.
• A metric for M thus has all properties v)-viii) of
the distance function |x - y| for R
• Example : f : R2 R be a function defined by
f(x, y) = |x - y|.
Then f is metric for R, this metric is known as
absolute vale metric
Example
 The discrete metric is defined by the formula
d(x, y) = 1 if x ≠ y
= 0 if x = y
• By definition of d, d(x, x) = 0
• If x ≠ y then d(x, y) = 1 > 0
• Clearly d(x, y) = d(y, x)
• triangle inequality d(x, y) ≤ d(x, z) + d(z, y).
If x = y, then the left hand side is zero and the
inequality certainly holds. If x ≠ y , then the left hand
side is equal to 1. Since x ≠ y , we must have either
x ≠ y or else x ≠ y . Thus, the right hand side is at least 1
and the triangle inequality holds in any case.
Examples
The plane R2 with the "usual distance"
(measured using Pythagoras's theorem):
d((x1 , y1), (x2 , y2)) = squ[(x1 - x2)2 + (y1 - y2)2].
This is sometimes called the 2-metric d2 .
• This is also metric
space for R2
z= (x1 , y1) w = (x2 , y2)
Example
The same picture will give metric on the
complex numbers C interpreted as the Argand
diagram. In this case the formula for the
metric is now:
d(z, w) = |z - w|
where the | | in the formula represent the
modulus of the complex number rather than
the absolute value of a real number.
Example
The plane with the taxi cab metric
d((x1 , y1), (x2 , y2)) = |x1 - x2| + |y1 - y2|.
This is often called the 1-metric d1 .
Example
The plane with
the supremum or maximum metric
d((x1 , y1), (x2 , y2)) = max(|x1 - x2|, |y1 - y2| ).
It is often called
the infinity metric d .
Example
• To understand them it helps to look at the unit
circles in each metric.
That is the sets { x belongs to R2 | d(0, x) = 1 }.
We get the
following picture:
Example
 If ρ is metric on M
then 7ρ is also metric on M
If ρ and f are metric on M then ρ+f is also
metric on M
 But -7ρ is not metric on M.
Since second property of non-negativity not
satisfied by ρ
Question
• Set of all metric on set M is Group?
Example of Not Metric
ρ : R2 R be a function defined by
ρ(x, y) = 0
then ρ is not metric
Since 1 ≠ 2 but ρ(1, 2) = 0 (by def. of ρ)
other properties are satisfied
Example of Not Metric
The plane with the
minimum function
d((x1 , y1), (x2 , y2)) = min(|x1 - x2|, |y1 - y2| ).
• Then d is not metric
Since d((1, 2),(1,5)) = min(|1-1|,|2-5|)
= min (0, 3) = 0
Second property not Satisfied.
Metric space

More Related Content

What's hot

Vector space
Vector spaceVector space
Vector space
Jaimin Patel
 
Concepts of Maxima And Minima
Concepts of Maxima And MinimaConcepts of Maxima And Minima
Concepts of Maxima And Minima
Jitin Pillai
 
Inner product spaces
Inner product spacesInner product spaces
Inner product spaces
EasyStudy3
 
Linear Algebra and Matrix
Linear Algebra and MatrixLinear Algebra and Matrix
Linear Algebra and Matrixitutor
 
Introduction to Function, Domain and Range - Mohd Noor
Introduction to Function, Domain and Range - Mohd Noor Introduction to Function, Domain and Range - Mohd Noor
Introduction to Function, Domain and Range - Mohd Noor
Mohd. Noor Abdul Hamid
 
Group abstract algebra
Group  abstract algebraGroup  abstract algebra
Group abstract algebra
NaliniSPatil
 
Integral Domains
Integral DomainsIntegral Domains
Liner algebra-vector space-1 introduction to vector space and subspace
Liner algebra-vector space-1   introduction to vector space and subspace Liner algebra-vector space-1   introduction to vector space and subspace
Liner algebra-vector space-1 introduction to vector space and subspace
Manikanta satyala
 
Matrix inverse
Matrix inverseMatrix inverse
Matrix inversemstf mstf
 
Topology M.Sc. 2 semester Mathematics compactness, unit - 4
Topology M.Sc. 2 semester Mathematics compactness, unit - 4Topology M.Sc. 2 semester Mathematics compactness, unit - 4
Topology M.Sc. 2 semester Mathematics compactness, unit - 4
Shri Shankaracharya College, Bhilai,Junwani
 
Function transformations
Function transformationsFunction transformations
Function transformationsTerry Gastauer
 
Linear algebra-Basis & Dimension
Linear algebra-Basis & DimensionLinear algebra-Basis & Dimension
Linear algebra-Basis & Dimension
Manikanta satyala
 
Vector Spaces
Vector SpacesVector Spaces
taylors theorem
taylors theoremtaylors theorem
taylors theorem
Maria Katrina Miranda
 
Group homomorphism
Group homomorphismGroup homomorphism
Group homomorphism
NaliniSPatil
 
Inner Product Space
Inner Product SpaceInner Product Space
Inner Product Space
Patel Raj
 
Vector space
Vector spaceVector space
Vector space
Mehedi Hasan Raju
 
Application of derivatives 2 maxima and minima
Application of derivatives 2  maxima and minimaApplication of derivatives 2  maxima and minima
Application of derivatives 2 maxima and minima
sudersana viswanathan
 
rank of matrix
rank of matrixrank of matrix
rank of matrix
Siddhi Agrawal
 
Lesson02 Vectors And Matrices Slides
Lesson02   Vectors And Matrices SlidesLesson02   Vectors And Matrices Slides
Lesson02 Vectors And Matrices SlidesMatthew Leingang
 

What's hot (20)

Vector space
Vector spaceVector space
Vector space
 
Concepts of Maxima And Minima
Concepts of Maxima And MinimaConcepts of Maxima And Minima
Concepts of Maxima And Minima
 
Inner product spaces
Inner product spacesInner product spaces
Inner product spaces
 
Linear Algebra and Matrix
Linear Algebra and MatrixLinear Algebra and Matrix
Linear Algebra and Matrix
 
Introduction to Function, Domain and Range - Mohd Noor
Introduction to Function, Domain and Range - Mohd Noor Introduction to Function, Domain and Range - Mohd Noor
Introduction to Function, Domain and Range - Mohd Noor
 
Group abstract algebra
Group  abstract algebraGroup  abstract algebra
Group abstract algebra
 
Integral Domains
Integral DomainsIntegral Domains
Integral Domains
 
Liner algebra-vector space-1 introduction to vector space and subspace
Liner algebra-vector space-1   introduction to vector space and subspace Liner algebra-vector space-1   introduction to vector space and subspace
Liner algebra-vector space-1 introduction to vector space and subspace
 
Matrix inverse
Matrix inverseMatrix inverse
Matrix inverse
 
Topology M.Sc. 2 semester Mathematics compactness, unit - 4
Topology M.Sc. 2 semester Mathematics compactness, unit - 4Topology M.Sc. 2 semester Mathematics compactness, unit - 4
Topology M.Sc. 2 semester Mathematics compactness, unit - 4
 
Function transformations
Function transformationsFunction transformations
Function transformations
 
Linear algebra-Basis & Dimension
Linear algebra-Basis & DimensionLinear algebra-Basis & Dimension
Linear algebra-Basis & Dimension
 
Vector Spaces
Vector SpacesVector Spaces
Vector Spaces
 
taylors theorem
taylors theoremtaylors theorem
taylors theorem
 
Group homomorphism
Group homomorphismGroup homomorphism
Group homomorphism
 
Inner Product Space
Inner Product SpaceInner Product Space
Inner Product Space
 
Vector space
Vector spaceVector space
Vector space
 
Application of derivatives 2 maxima and minima
Application of derivatives 2  maxima and minimaApplication of derivatives 2  maxima and minima
Application of derivatives 2 maxima and minima
 
rank of matrix
rank of matrixrank of matrix
rank of matrix
 
Lesson02 Vectors And Matrices Slides
Lesson02   Vectors And Matrices SlidesLesson02   Vectors And Matrices Slides
Lesson02 Vectors And Matrices Slides
 

Similar to Metric space

optimal graph realization
optimal graph realizationoptimal graph realization
optimal graph realizationIgor Mandric
 
Program on Quasi-Monte Carlo and High-Dimensional Sampling Methods for Applie...
Program on Quasi-Monte Carlo and High-Dimensional Sampling Methods for Applie...Program on Quasi-Monte Carlo and High-Dimensional Sampling Methods for Applie...
Program on Quasi-Monte Carlo and High-Dimensional Sampling Methods for Applie...
The Statistical and Applied Mathematical Sciences Institute
 
3.1 Characteristics of Polynomial Functions.pptx
3.1 Characteristics of Polynomial Functions.pptx3.1 Characteristics of Polynomial Functions.pptx
3.1 Characteristics of Polynomial Functions.pptx
Alaa480924
 
Algebric Functions.pdf
Algebric Functions.pdfAlgebric Functions.pdf
Algebric Functions.pdf
MamadArip
 
Optimization Methods for Machine Learning and Engineering: Optimization in Ve...
Optimization Methods for Machine Learning and Engineering: Optimization in Ve...Optimization Methods for Machine Learning and Engineering: Optimization in Ve...
Optimization Methods for Machine Learning and Engineering: Optimization in Ve...
FadiAkil2
 
DIP7_Relationships_between_pixels.ppt
DIP7_Relationships_between_pixels.pptDIP7_Relationships_between_pixels.ppt
DIP7_Relationships_between_pixels.ppt
akshaya870130
 
multiple intrigral lit
multiple intrigral litmultiple intrigral lit
multiple intrigral lit
BRS ENGINEERING
 
metric spaces
metric spacesmetric spaces
metric spaces
HamKarimRUPP
 
3.ppt
3.ppt3.ppt
3.ppt
anshharjai
 
L1 functions, domain &amp; range
L1 functions, domain &amp; rangeL1 functions, domain &amp; range
L1 functions, domain &amp; range
James Tagara
 
1609 probability function p on subspace of s
1609 probability function p on subspace of s1609 probability function p on subspace of s
1609 probability function p on subspace of s
Dr Fereidoun Dejahang
 
Introduccio al calculo vectorial
Introduccio  al calculo vectorialIntroduccio  al calculo vectorial
Introduccio al calculo vectorial
EDESMITCRUZ1
 
(α ψ)- Construction with q- function for coupled fixed point
(α   ψ)-  Construction with q- function for coupled fixed point(α   ψ)-  Construction with q- function for coupled fixed point
(α ψ)- Construction with q- function for coupled fixed point
Alexander Decker
 
Math presentation on domain and range
Math presentation on domain and rangeMath presentation on domain and range
Math presentation on domain and range
Touhidul Shawan
 
Local linear approximation
Local linear approximationLocal linear approximation
Local linear approximation
Tarun Gehlot
 
The remainder theorem powerpoint
The remainder theorem powerpointThe remainder theorem powerpoint
The remainder theorem powerpoint
Juwileene Soriano
 
matlab lecture 4 solving mathematical problems.ppt
matlab lecture 4 solving mathematical problems.pptmatlab lecture 4 solving mathematical problems.ppt
matlab lecture 4 solving mathematical problems.ppt
aaaaboud1
 
Calculus 1 Lecture Notes (Functions and Their Graphs)
Calculus 1 Lecture Notes (Functions and Their Graphs)Calculus 1 Lecture Notes (Functions and Their Graphs)
Calculus 1 Lecture Notes (Functions and Their Graphs)
Mohammed Matar
 
Relations & functions.pps
Relations  &  functions.ppsRelations  &  functions.pps
Relations & functions.ppsindu psthakur
 

Similar to Metric space (20)

optimal graph realization
optimal graph realizationoptimal graph realization
optimal graph realization
 
Program on Quasi-Monte Carlo and High-Dimensional Sampling Methods for Applie...
Program on Quasi-Monte Carlo and High-Dimensional Sampling Methods for Applie...Program on Quasi-Monte Carlo and High-Dimensional Sampling Methods for Applie...
Program on Quasi-Monte Carlo and High-Dimensional Sampling Methods for Applie...
 
3.1 Characteristics of Polynomial Functions.pptx
3.1 Characteristics of Polynomial Functions.pptx3.1 Characteristics of Polynomial Functions.pptx
3.1 Characteristics of Polynomial Functions.pptx
 
Algebric Functions.pdf
Algebric Functions.pdfAlgebric Functions.pdf
Algebric Functions.pdf
 
Optimization Methods for Machine Learning and Engineering: Optimization in Ve...
Optimization Methods for Machine Learning and Engineering: Optimization in Ve...Optimization Methods for Machine Learning and Engineering: Optimization in Ve...
Optimization Methods for Machine Learning and Engineering: Optimization in Ve...
 
DIP7_Relationships_between_pixels.ppt
DIP7_Relationships_between_pixels.pptDIP7_Relationships_between_pixels.ppt
DIP7_Relationships_between_pixels.ppt
 
multiple intrigral lit
multiple intrigral litmultiple intrigral lit
multiple intrigral lit
 
metric spaces
metric spacesmetric spaces
metric spaces
 
3.ppt
3.ppt3.ppt
3.ppt
 
L1 functions, domain &amp; range
L1 functions, domain &amp; rangeL1 functions, domain &amp; range
L1 functions, domain &amp; range
 
1609 probability function p on subspace of s
1609 probability function p on subspace of s1609 probability function p on subspace of s
1609 probability function p on subspace of s
 
Introduccio al calculo vectorial
Introduccio  al calculo vectorialIntroduccio  al calculo vectorial
Introduccio al calculo vectorial
 
(α ψ)- Construction with q- function for coupled fixed point
(α   ψ)-  Construction with q- function for coupled fixed point(α   ψ)-  Construction with q- function for coupled fixed point
(α ψ)- Construction with q- function for coupled fixed point
 
Functions
FunctionsFunctions
Functions
 
Math presentation on domain and range
Math presentation on domain and rangeMath presentation on domain and range
Math presentation on domain and range
 
Local linear approximation
Local linear approximationLocal linear approximation
Local linear approximation
 
The remainder theorem powerpoint
The remainder theorem powerpointThe remainder theorem powerpoint
The remainder theorem powerpoint
 
matlab lecture 4 solving mathematical problems.ppt
matlab lecture 4 solving mathematical problems.pptmatlab lecture 4 solving mathematical problems.ppt
matlab lecture 4 solving mathematical problems.ppt
 
Calculus 1 Lecture Notes (Functions and Their Graphs)
Calculus 1 Lecture Notes (Functions and Their Graphs)Calculus 1 Lecture Notes (Functions and Their Graphs)
Calculus 1 Lecture Notes (Functions and Their Graphs)
 
Relations & functions.pps
Relations  &  functions.ppsRelations  &  functions.pps
Relations & functions.pps
 

Recently uploaded

ESR_factors_affect-clinic significance-Pathysiology.pptx
ESR_factors_affect-clinic significance-Pathysiology.pptxESR_factors_affect-clinic significance-Pathysiology.pptx
ESR_factors_affect-clinic significance-Pathysiology.pptx
muralinath2
 
Citrus Greening Disease and its Management
Citrus Greening Disease and its ManagementCitrus Greening Disease and its Management
Citrus Greening Disease and its Management
subedisuryaofficial
 
Hemoglobin metabolism_pathophysiology.pptx
Hemoglobin metabolism_pathophysiology.pptxHemoglobin metabolism_pathophysiology.pptx
Hemoglobin metabolism_pathophysiology.pptx
muralinath2
 
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...
Scintica Instrumentation
 
EY - Supply Chain Services 2018_template.pptx
EY - Supply Chain Services 2018_template.pptxEY - Supply Chain Services 2018_template.pptx
EY - Supply Chain Services 2018_template.pptx
AlguinaldoKong
 
RNA INTERFERENCE: UNRAVELING GENETIC SILENCING
RNA INTERFERENCE: UNRAVELING GENETIC SILENCINGRNA INTERFERENCE: UNRAVELING GENETIC SILENCING
RNA INTERFERENCE: UNRAVELING GENETIC SILENCING
AADYARAJPANDEY1
 
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...
Sérgio Sacani
 
platelets- lifespan -Clot retraction-disorders.pptx
platelets- lifespan -Clot retraction-disorders.pptxplatelets- lifespan -Clot retraction-disorders.pptx
platelets- lifespan -Clot retraction-disorders.pptx
muralinath2
 
Lateral Ventricles.pdf very easy good diagrams comprehensive
Lateral Ventricles.pdf very easy good diagrams comprehensiveLateral Ventricles.pdf very easy good diagrams comprehensive
Lateral Ventricles.pdf very easy good diagrams comprehensive
silvermistyshot
 
Mammalian Pineal Body Structure and Also Functions
Mammalian Pineal Body Structure and Also FunctionsMammalian Pineal Body Structure and Also Functions
Mammalian Pineal Body Structure and Also Functions
YOGESH DOGRA
 
Comparative structure of adrenal gland in vertebrates
Comparative structure of adrenal gland in vertebratesComparative structure of adrenal gland in vertebrates
Comparative structure of adrenal gland in vertebrates
sachin783648
 
Orion Air Quality Monitoring Systems - CWS
Orion Air Quality Monitoring Systems - CWSOrion Air Quality Monitoring Systems - CWS
Orion Air Quality Monitoring Systems - CWS
Columbia Weather Systems
 
Hemostasis_importance& clinical significance.pptx
Hemostasis_importance& clinical significance.pptxHemostasis_importance& clinical significance.pptx
Hemostasis_importance& clinical significance.pptx
muralinath2
 
filosofia boliviana introducción jsjdjd.pptx
filosofia boliviana introducción jsjdjd.pptxfilosofia boliviana introducción jsjdjd.pptx
filosofia boliviana introducción jsjdjd.pptx
IvanMallco1
 
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.
Sérgio Sacani
 
Cancer cell metabolism: special Reference to Lactate Pathway
Cancer cell metabolism: special Reference to Lactate PathwayCancer cell metabolism: special Reference to Lactate Pathway
Cancer cell metabolism: special Reference to Lactate Pathway
AADYARAJPANDEY1
 
in vitro propagation of plants lecture note.pptx
in vitro propagation of plants lecture note.pptxin vitro propagation of plants lecture note.pptx
in vitro propagation of plants lecture note.pptx
yusufzako14
 
GBSN- Microbiology (Lab 3) Gram Staining
GBSN- Microbiology (Lab 3) Gram StainingGBSN- Microbiology (Lab 3) Gram Staining
GBSN- Microbiology (Lab 3) Gram Staining
Areesha Ahmad
 
4. An Overview of Sugarcane White Leaf Disease in Vietnam.pdf
4. An Overview of Sugarcane White Leaf Disease in Vietnam.pdf4. An Overview of Sugarcane White Leaf Disease in Vietnam.pdf
4. An Overview of Sugarcane White Leaf Disease in Vietnam.pdf
ssuserbfdca9
 
Lab report on liquid viscosity of glycerin
Lab report on liquid viscosity of glycerinLab report on liquid viscosity of glycerin
Lab report on liquid viscosity of glycerin
ossaicprecious19
 

Recently uploaded (20)

ESR_factors_affect-clinic significance-Pathysiology.pptx
ESR_factors_affect-clinic significance-Pathysiology.pptxESR_factors_affect-clinic significance-Pathysiology.pptx
ESR_factors_affect-clinic significance-Pathysiology.pptx
 
Citrus Greening Disease and its Management
Citrus Greening Disease and its ManagementCitrus Greening Disease and its Management
Citrus Greening Disease and its Management
 
Hemoglobin metabolism_pathophysiology.pptx
Hemoglobin metabolism_pathophysiology.pptxHemoglobin metabolism_pathophysiology.pptx
Hemoglobin metabolism_pathophysiology.pptx
 
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...
 
EY - Supply Chain Services 2018_template.pptx
EY - Supply Chain Services 2018_template.pptxEY - Supply Chain Services 2018_template.pptx
EY - Supply Chain Services 2018_template.pptx
 
RNA INTERFERENCE: UNRAVELING GENETIC SILENCING
RNA INTERFERENCE: UNRAVELING GENETIC SILENCINGRNA INTERFERENCE: UNRAVELING GENETIC SILENCING
RNA INTERFERENCE: UNRAVELING GENETIC SILENCING
 
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...
 
platelets- lifespan -Clot retraction-disorders.pptx
platelets- lifespan -Clot retraction-disorders.pptxplatelets- lifespan -Clot retraction-disorders.pptx
platelets- lifespan -Clot retraction-disorders.pptx
 
Lateral Ventricles.pdf very easy good diagrams comprehensive
Lateral Ventricles.pdf very easy good diagrams comprehensiveLateral Ventricles.pdf very easy good diagrams comprehensive
Lateral Ventricles.pdf very easy good diagrams comprehensive
 
Mammalian Pineal Body Structure and Also Functions
Mammalian Pineal Body Structure and Also FunctionsMammalian Pineal Body Structure and Also Functions
Mammalian Pineal Body Structure and Also Functions
 
Comparative structure of adrenal gland in vertebrates
Comparative structure of adrenal gland in vertebratesComparative structure of adrenal gland in vertebrates
Comparative structure of adrenal gland in vertebrates
 
Orion Air Quality Monitoring Systems - CWS
Orion Air Quality Monitoring Systems - CWSOrion Air Quality Monitoring Systems - CWS
Orion Air Quality Monitoring Systems - CWS
 
Hemostasis_importance& clinical significance.pptx
Hemostasis_importance& clinical significance.pptxHemostasis_importance& clinical significance.pptx
Hemostasis_importance& clinical significance.pptx
 
filosofia boliviana introducción jsjdjd.pptx
filosofia boliviana introducción jsjdjd.pptxfilosofia boliviana introducción jsjdjd.pptx
filosofia boliviana introducción jsjdjd.pptx
 
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.
 
Cancer cell metabolism: special Reference to Lactate Pathway
Cancer cell metabolism: special Reference to Lactate PathwayCancer cell metabolism: special Reference to Lactate Pathway
Cancer cell metabolism: special Reference to Lactate Pathway
 
in vitro propagation of plants lecture note.pptx
in vitro propagation of plants lecture note.pptxin vitro propagation of plants lecture note.pptx
in vitro propagation of plants lecture note.pptx
 
GBSN- Microbiology (Lab 3) Gram Staining
GBSN- Microbiology (Lab 3) Gram StainingGBSN- Microbiology (Lab 3) Gram Staining
GBSN- Microbiology (Lab 3) Gram Staining
 
4. An Overview of Sugarcane White Leaf Disease in Vietnam.pdf
4. An Overview of Sugarcane White Leaf Disease in Vietnam.pdf4. An Overview of Sugarcane White Leaf Disease in Vietnam.pdf
4. An Overview of Sugarcane White Leaf Disease in Vietnam.pdf
 
Lab report on liquid viscosity of glycerin
Lab report on liquid viscosity of glycerinLab report on liquid viscosity of glycerin
Lab report on liquid viscosity of glycerin
 

Metric space

  • 1. Pratap College Amalner T. Y. B. Sc. Subject :- Mathematics Metric Space Prof. Nalini S. Patil (HOD) Mob. 9420941034, 9075881034
  • 3. Metric Space • Introduction • Definition • Example
  • 4. Introduction • Definition Absolute-value function on R Let f : R R be a function defined by f( x) = |x|= x if x > 0 = -x if x < 0 = 0 if x = 0 • Properties of absolute value function i) |0| = 0 ii) |a| > 0 if a ≠ 0 iii) |a| = |-a| iv) |a+b|≤ |a|+|b|
  • 5. Introduction • Now, for x, y real numbers, the geometric interpretation of |x-y| is the distance from x to y. If we define the “distance function” ρ by ρ(x, y) = |x-y| then the properties i) – iv) have the following consequences for any points x, y, z real numbers
  • 6. Introduction v) ρ(x, x) = |x-x| = 0 (i.e, the distance from a point to itself is 0) vi) ρ(x, y) > 0 (x ≠ y) (The distance between two distinct points is strictly positive) vii) ρ(x, y) = ρ(y, x) (The distance from x to y is equal to the distance from y to x.)
  • 7. Introduction viii) ρ(x, y) ≤ ρ(x, z) + ρ(z, y) ( triangle in equality) Distance function satisfies v) – viii) properties A Distance function is usually called a metric
  • 8. Definition • Definition : Let M be any set. A metric for M is a function ρ with domain M M and range is contained in [0, ) such that for any element x, y, z of set M ρ(x, x) = 0 ρ(x, y) > 0 (x ≠ y) ρ(x, y) = ρ(y, x) ρ(x, y) ≤ ρ(x, z) + ρ(z, y)
  • 9. Definition • If ρ is metric for M, then the order pair (M, ρ) is called Metric Space. • A metric for M thus has all properties v)-viii) of the distance function |x - y| for R • Example : f : R2 R be a function defined by f(x, y) = |x - y|. Then f is metric for R, this metric is known as absolute vale metric
  • 10. Example  The discrete metric is defined by the formula d(x, y) = 1 if x ≠ y = 0 if x = y • By definition of d, d(x, x) = 0 • If x ≠ y then d(x, y) = 1 > 0 • Clearly d(x, y) = d(y, x) • triangle inequality d(x, y) ≤ d(x, z) + d(z, y). If x = y, then the left hand side is zero and the inequality certainly holds. If x ≠ y , then the left hand side is equal to 1. Since x ≠ y , we must have either x ≠ y or else x ≠ y . Thus, the right hand side is at least 1 and the triangle inequality holds in any case.
  • 11. Examples The plane R2 with the "usual distance" (measured using Pythagoras's theorem): d((x1 , y1), (x2 , y2)) = squ[(x1 - x2)2 + (y1 - y2)2]. This is sometimes called the 2-metric d2 . • This is also metric space for R2 z= (x1 , y1) w = (x2 , y2)
  • 12. Example The same picture will give metric on the complex numbers C interpreted as the Argand diagram. In this case the formula for the metric is now: d(z, w) = |z - w| where the | | in the formula represent the modulus of the complex number rather than the absolute value of a real number.
  • 13. Example The plane with the taxi cab metric d((x1 , y1), (x2 , y2)) = |x1 - x2| + |y1 - y2|. This is often called the 1-metric d1 .
  • 14. Example The plane with the supremum or maximum metric d((x1 , y1), (x2 , y2)) = max(|x1 - x2|, |y1 - y2| ). It is often called the infinity metric d .
  • 15. Example • To understand them it helps to look at the unit circles in each metric. That is the sets { x belongs to R2 | d(0, x) = 1 }. We get the following picture:
  • 16. Example  If ρ is metric on M then 7ρ is also metric on M If ρ and f are metric on M then ρ+f is also metric on M  But -7ρ is not metric on M. Since second property of non-negativity not satisfied by ρ
  • 17. Question • Set of all metric on set M is Group?
  • 18. Example of Not Metric ρ : R2 R be a function defined by ρ(x, y) = 0 then ρ is not metric Since 1 ≠ 2 but ρ(1, 2) = 0 (by def. of ρ) other properties are satisfied
  • 19. Example of Not Metric The plane with the minimum function d((x1 , y1), (x2 , y2)) = min(|x1 - x2|, |y1 - y2| ). • Then d is not metric Since d((1, 2),(1,5)) = min(|1-1|,|2-5|) = min (0, 3) = 0 Second property not Satisfied.