SlideShare a Scribd company logo
Mathematical Theory and Modeling www.iiste.org
ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online)
Vol.3, No.6, 2013-Selected from International Conference on Recent Trends in Applied Sciences with Engineering Applications
263
A Common Fixed Point Theorem for Two Random Operators
using Random Mann Iteration Scheme
S. Saluja
Department of Mathematics, Government J. H. P. G. College Betul (MP) India-460001
Devkrishna Magarde
Department of Mathematics, Patel College of Science and Technology, Bhopal(MP) India-462044
Email:-devmagarde@gmail.com
Alkesh Kumar Dhakde
Department of Mathematics, IES College of Technology, Bhopal(MP) India-462044
Abstract: In this paper, we proved that if a random Mann iteration scheme is defined by two random operators
is convergent under some contractive inequality the limit point is a common fixed point of each of two random
operators in Banach space.
Keywords: Mann iteration, fixed point, measurable mappings, Banach space.
AMS Subject Classification: 47H10, 47H40.
1.Introduction and Preliminaries:
Kasahara [8] had shown that if an iterated sequence defined by using a continuous linear mapping is convergent
under certain assumption, then the limit point is a common fixed point of each of two non-linear mappings.
Ganguly [6] arrived at same conclusion by taking the same contractive condition and using the sequence of
Mann iteration [9].
It this note, it is proved that if a random Mann iteration scheme is defined by two operators is
convergent under some contractive inequality the limit point is a common fixed point of each of two random
operators in a Banach space.
The study of random fixed point has been an active area of contemporary research in mathematics.
Random iteration scheme has been elaborately discussed by Choudhury ([1], [2], [3], [4]). Looking to the
immense applications of iterative algorithms in signal processing and image reconstruction, it is essential to
venture upon random iteration.
We first review the following concepts, which are essential for our study.
Throughout this paper ( Ω, ∑ ) denotes a measurable space and X stands for a separable Banach space. C is a
nonempty subset of X .
A mapping :f Ω C→ is said to be measurable if ( ) ∑∈∩−
CBf 1
for every Borel subset B of X .
A mapping :F Ω ,CC →× is said to be a random operator, if ( ):., xF Ω C→ is measurable for every
Cx ∈ .
A measurable mapping :g Ω C→ is said to be a random fixed point of the random operator :F Ω
,CC →× if ( ) )()(, tgtgtF = for all ∈t Ω.
A random operator :F Ω CC →× is said to be continuous if, for fixed ∈t Ω, ( ) CCtF →:,. is
continuous.
Definition 1 (Random Mann Iteration scheme): Let :,TS Ω CC →× be two random operators on a
nonempty convex subset C of a separable Banach space X . Then the sequence { }nx of random Mann
iterates associates with TS or is defined as follows:
(1) Let :0x Ω C→ be any given measurable mapping.
(2) ( ) ( ))(,1)(1 txtScxctx nnnnn +−=+ for 0>n , ∈t Ω, or
(3) ( ) ( ))(,1)(1 txtTcxctx nnnnn +−=+ for 0>n , ∈t Ω,
where nc satisfies:
(4) 10 =c for 0=n
(5) 10 ≤< nc for 0>n
Mathematical Theory and Modeling www.iiste.org
ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online)
Vol.3, No.6, 2013-Selected from International Conference on Recent Trends in Applied Sciences with Engineering Applications
264
(6) 0lim >=
∞→
hcn
n
2.Main Result:
Theorem 1: Let :,TS Ω ,CC →× where C is a nonempty closed convex subset of a separable Banach space
X , be two continuous random operators which satisfy the following inequality: for all Cyx ∈, and ∈t Ω,
( ) ( ) ( ) ( ){ }
( ) ( ){ }
( ){
( ) })()()(,)(
,)()()(,)(max
)(,)(,)(,)(max
)(,)(,)(,)(,)()(max,,(7)
tytxtytTty
tytxtxtStx
tytTtytxtStx
txtStytytTtxtytxytTxtS
−+−
−+−+
−−+
−−−≤−
γ
β
α
where 1and0,, <++≥ γβαγβα .
If the sequence { })(txn of random Mann iterates associated with TS or satisfying (1)-(6) converges, then it
converges to a common random fixed point of both TS and .
Proof: We may assume that the sequence { })(txn defined by (2) is pointwise convergent, that is, for all ∈t Ω,
(8) )(lim)( txtx n
n ∞→
=
Since X is a separable Banach space, for any continuous random operator
:A Ω ,CC →× and any measurable mapping :f Ω C→ , the mapping ( ))(,)( tftAtx = is measurable
mapping [7].
Since )(tx is measurable and C is convex, it follows that{ })(txn constructed in the random iteration from
(2)-(6) is a sequence of measurable mappings. Hence being limit of measurable mapping sequence is also
measurable. Now for ∈t Ω, from (2), (6) and (7) we obtain
( ) ( ))(,)()()()(,)( 11 txtTtxtxtxtxtTtx nn −+−≤− ++
( ) ( ) ( ))(,)(,)(1)()( 1 txtTtxtSctxctxtx nnnnn −+−+−≤ +
( ) ( )
( ) ( ))(,)(,
)(,)(1)()( 1
txtTtxtSc
txtTtxctxtx
nn
nnn
−+
−−+−≤ +
( ) ( ) ( )
[ ( ){
( )} ( ){
( )} ( ){
( ) }])()()(,)(,)()(
)(,)(max)(,)(
,)(,)(max)(,)(
,)(,)(,)()(max
)(,)(1)()()(,)()9( 1
txtxtxtTtxtxtx
txtStxtxtTtx
txtStxtxtStx
txtTtxtxtxc
txtTtxhtxtxtxtTtx
nn
nn
nnn
nnn
nn
−+−−
+−+−
−+−
−−+
−−+−≤− +
γ
β
α
Now ( )( ) ( ) )()()()(,)()(, 1 txtxtxctxtSctxtxtSc nnnnnnnnn −=−=− +
Implies that ( ) )()(
1
)()(, 1 txtx
c
txtxtS nn
n
nn −≤− +
This shows that for ∈t Ω, ( ) ∞→→− ntxtxtS nn as0)()(, and so
( ) ∞→→− ntxtxtS n as0)()(, as S is continuous random operator and x is a
measurable mapping. Consequently from (9) on taking limit as ∞→n we obtain
( ) ( ) ( ) ( ){ }[
( ){ } ( ){ }])(,)(,0max)(,)(,0max
0,)(,)(,0max)(,)(10)(,)(
txtTtxtxtTtx
txtTtxctxtTtxhtxtTtx n
−+−+
−+−−+≤−
γβ
α
Mathematical Theory and Modeling www.iiste.org
ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online)
Vol.3, No.6, 2013-Selected from International Conference on Recent Trends in Applied Sciences with Engineering Applications
265
( ) ( ))(,)(1 txtTtxhhhh −+++−≤ γβα
implies that ( ) )()(, txtxtT = for all ∈t Ω ( )1sin <++ γβαce as T is continuous random operator and
x is measurable.
Therefore,
( ) ( ) ( ))(,)(,)()(, txtTtxtStxtxtS −=−
( ) ( ){ }
( ) ( ){ }
( ){
( ) })()()(,)(
,)()()(,)(max
)(,)(,)(,)(max
)(,)(,)(,)(,)()(max
txtxtxtTtx
txtxtxtStx
txtTtxtxtStx
txtStxtxtTtxtxtx
−+−
−+−+
−−+
−−−≤
γ
β
α
( ) ( ){ }
( ){ }
( ){
})()()()(
,)()()(,)(max
)()(,)(,)(max
)(,)(,)()(,)()(max)()(,
txtxtxtx
txtxtxtStx
txtxtxtStx
txtStxtxtxtxtxtxtxtS
−+−
−+−+
−−+
−−−≤−
γ
β
α
( ){ } ( ){ }
( ){ }0,)(,)(max
0,)(,)(max)(,)(,0,0max
txtStx
txtStxtxtStx
−+
−+−≤
γ
βα
( ) ( ))(,)( txtStx −++≤ γβα
Since 1<++ γβα implies that ( ) )()(, txtxtS = .
Uniquness:-Let )()(),( txtvtv ≠ is another common fixed point of S and T ,then, using (7), we have
( ) ( ){ }
( ) ( ){ }
( ){
( ) })()()(,)(
,)()()(,)(max
)(,)(,)(,)(max
)(,)(,)(,)(,)()(max)()(
tvtxtvtTtv
tvtxtxtStx
tvtTtvtxtStx
txtStvtvtTtxtvtxtvtx
−+−
−+−+
−−+
−−−≤−
γ
β
α
{ }
{ }
{
})()()()(
,)()()()(max
)()(,)()(max
)()(,)()(,)()(max
tvtxtvtv
tvtxtxtx
tvtvtxtx
txtvtvtxtvtx
−+−
−+−+
−−+
−−−≤
γ
β
α
)()()( tvtx −+≤ γα
1as)()( <+=⇒ γαtvtx
This complete the proof.
References:
[1] Choudhury B. S., Convergence of a random iteration scheme to a random fixed point, J. Appl. Math. Stoc.
Anal., 8(1995), 139-142.
[2] Choudhury B. S., Random Mann iteration scheme, Appl. Math. Lett., 16 (2003), 93-96.
[3] Choudhury B. S., Ray M., Convergence of an iteration leading to a solution of a random operator equation, J.
Appl. Math. Stoc. Anal., 12 (1999), 161-168.i
[4] Choudhury B. S., Upadhyay A., An iteration leading to a solution and fixed point of operators, Soochow J.
Math., 25 (1999), 394-400.
[5] Ciric Lj., Quasi-contractions in Banach space, Publ. Inst. Math., 21(35) (1977), 41-48.
Mathematical Theory and Modeling www.iiste.org
ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online)
Vol.3, No.6, 2013-Selected from International Conference on Recent Trends in Applied Sciences with Engineering Applications
266
[6] Ganguly A. K., On common fixed point of two mappings, Mathematics Seminar Notes., 8 (1980), 343-345.
[7] Himmelberg C.J.,Measurable relations, Fund.Math.,LXXXVII (1975),53-71.
[8] Kasahara S., Fixed point iterations using linear mappings, Mathematics Seminar Notes., 6 (1978), 87-90.
[9] Rhoades B. E., Extensions of some fixed point theorems of Ciric, Maiti and Pal, Mathematics Seminar Notes.,
6 (1978), 41-46.
This academic article was published by The International Institute for Science,
Technology and Education (IISTE). The IISTE is a pioneer in the Open Access
Publishing service based in the U.S. and Europe. The aim of the institute is
Accelerating Global Knowledge Sharing.
More information about the publisher can be found in the IISTE’s homepage:
http://www.iiste.org
CALL FOR PAPERS
The IISTE is currently hosting more than 30 peer-reviewed academic journals and
collaborating with academic institutions around the world. There’s no deadline for
submission. Prospective authors of IISTE journals can find the submission
instruction on the following page: http://www.iiste.org/Journals/
The IISTE editorial team promises to the review and publish all the qualified
submissions in a fast manner. All the journals articles are available online to the
readers all over the world without financial, legal, or technical barriers other than
those inseparable from gaining access to the internet itself. Printed version of the
journals is also available upon request of readers and authors.
IISTE Knowledge Sharing Partners
EBSCO, Index Copernicus, Ulrich's Periodicals Directory, JournalTOCS, PKP Open
Archives Harvester, Bielefeld Academic Search Engine, Elektronische
Zeitschriftenbibliothek EZB, Open J-Gate, OCLC WorldCat, Universe Digtial
Library , NewJour, Google Scholar
Ad

Recommended

PDF
Finding Top-k Similar Graphs in Graph Database @ ReadingCircle
charlingual
 
DOCX
2. Prasad_Komal JNU2015 (1)
Komal Goyal
 
PDF
QMC Program: Trends and Advances in Monte Carlo Sampling Algorithms Workshop,...
The Statistical and Applied Mathematical Sciences Institute
 
PDF
The Gaussian Hardy-Littlewood Maximal Function
Radboud University Medical Center
 
PDF
A lattice-based consensus clustering
Dmitrii Ignatov
 
PDF
Ck4201578592
IJERA Editor
 
PDF
A common fixed point theorem for six mappings in g banach space with weak-com...
Alexander Decker
 
PDF
AN ALPHA -CUT OPERATION IN A TRANSPORTATION PROBLEM USING SYMMETRIC HEXAGONAL...
ijfls
 
PDF
Efficient Solution of Two-Stage Stochastic Linear Programs Using Interior Poi...
SSA KPI
 
PDF
Pattern-based classification of demographic sequences
Dmitrii Ignatov
 
PPTX
Backtraking pic&amp;def
balavigneshwari
 
PDF
Gaps between the theory and practice of large-scale matrix-based network comp...
David Gleich
 
PDF
Fixed points theorem on a pair of random generalized non linear contractions
Alexander Decker
 
PDF
AN ALPHA -CUT OPERATION IN A TRANSPORTATION PROBLEM USING SYMMETRIC HEXAGONAL...
ijfls
 
PDF
Fast Algorithm for Computing the Discrete Hartley Transform of Type-II
ijeei-iaes
 
PDF
Hyperparameter optimization with approximate gradient
Fabian Pedregosa
 
PDF
QMC Program: Trends and Advances in Monte Carlo Sampling Algorithms Workshop,...
The Statistical and Applied Mathematical Sciences Institute
 
PDF
Iterative methods with special structures
David Gleich
 
PDF
Unbiased Hamiltonian Monte Carlo
JeremyHeng10
 
PDF
Common fixed point and weak commuting mappings
Alexander Decker
 
PDF
SISAP17
Yasuo Tabei
 
PDF
Comparative Analysis of Algorithms for Single Source Shortest Path Problem
CSCJournals
 
PDF
Lecture50
Muhammad Kamran
 
PDF
Some New Fixed Point Theorems on S Metric Spaces
ijtsrd
 
PDF
A new generalized lindley distribution
Alexander Decker
 
PDF
QMC Program: Trends and Advances in Monte Carlo Sampling Algorithms Workshop,...
The Statistical and Applied Mathematical Sciences Institute
 
PDF
Solving Fuzzy Maximal Flow Problem Using Octagonal Fuzzy Number
IJERA Editor
 
PDF
QMC Program: Trends and Advances in Monte Carlo Sampling Algorithms Workshop,...
The Statistical and Applied Mathematical Sciences Institute
 
PDF
Common fixed point theorems for random operators in hilbert space
Alexander Decker
 
PDF
A common random fixed point theorem for rational inequality in hilbert space
Alexander Decker
 

More Related Content

What's hot (20)

PDF
Efficient Solution of Two-Stage Stochastic Linear Programs Using Interior Poi...
SSA KPI
 
PDF
Pattern-based classification of demographic sequences
Dmitrii Ignatov
 
PPTX
Backtraking pic&amp;def
balavigneshwari
 
PDF
Gaps between the theory and practice of large-scale matrix-based network comp...
David Gleich
 
PDF
Fixed points theorem on a pair of random generalized non linear contractions
Alexander Decker
 
PDF
AN ALPHA -CUT OPERATION IN A TRANSPORTATION PROBLEM USING SYMMETRIC HEXAGONAL...
ijfls
 
PDF
Fast Algorithm for Computing the Discrete Hartley Transform of Type-II
ijeei-iaes
 
PDF
Hyperparameter optimization with approximate gradient
Fabian Pedregosa
 
PDF
QMC Program: Trends and Advances in Monte Carlo Sampling Algorithms Workshop,...
The Statistical and Applied Mathematical Sciences Institute
 
PDF
Iterative methods with special structures
David Gleich
 
PDF
Unbiased Hamiltonian Monte Carlo
JeremyHeng10
 
PDF
Common fixed point and weak commuting mappings
Alexander Decker
 
PDF
SISAP17
Yasuo Tabei
 
PDF
Comparative Analysis of Algorithms for Single Source Shortest Path Problem
CSCJournals
 
PDF
Lecture50
Muhammad Kamran
 
PDF
Some New Fixed Point Theorems on S Metric Spaces
ijtsrd
 
PDF
A new generalized lindley distribution
Alexander Decker
 
PDF
QMC Program: Trends and Advances in Monte Carlo Sampling Algorithms Workshop,...
The Statistical and Applied Mathematical Sciences Institute
 
PDF
Solving Fuzzy Maximal Flow Problem Using Octagonal Fuzzy Number
IJERA Editor
 
PDF
QMC Program: Trends and Advances in Monte Carlo Sampling Algorithms Workshop,...
The Statistical and Applied Mathematical Sciences Institute
 
Efficient Solution of Two-Stage Stochastic Linear Programs Using Interior Poi...
SSA KPI
 
Pattern-based classification of demographic sequences
Dmitrii Ignatov
 
Backtraking pic&amp;def
balavigneshwari
 
Gaps between the theory and practice of large-scale matrix-based network comp...
David Gleich
 
Fixed points theorem on a pair of random generalized non linear contractions
Alexander Decker
 
AN ALPHA -CUT OPERATION IN A TRANSPORTATION PROBLEM USING SYMMETRIC HEXAGONAL...
ijfls
 
Fast Algorithm for Computing the Discrete Hartley Transform of Type-II
ijeei-iaes
 
Hyperparameter optimization with approximate gradient
Fabian Pedregosa
 
QMC Program: Trends and Advances in Monte Carlo Sampling Algorithms Workshop,...
The Statistical and Applied Mathematical Sciences Institute
 
Iterative methods with special structures
David Gleich
 
Unbiased Hamiltonian Monte Carlo
JeremyHeng10
 
Common fixed point and weak commuting mappings
Alexander Decker
 
SISAP17
Yasuo Tabei
 
Comparative Analysis of Algorithms for Single Source Shortest Path Problem
CSCJournals
 
Lecture50
Muhammad Kamran
 
Some New Fixed Point Theorems on S Metric Spaces
ijtsrd
 
A new generalized lindley distribution
Alexander Decker
 
QMC Program: Trends and Advances in Monte Carlo Sampling Algorithms Workshop,...
The Statistical and Applied Mathematical Sciences Institute
 
Solving Fuzzy Maximal Flow Problem Using Octagonal Fuzzy Number
IJERA Editor
 
QMC Program: Trends and Advances in Monte Carlo Sampling Algorithms Workshop,...
The Statistical and Applied Mathematical Sciences Institute
 

Similar to A common fixed point theorem for two random operators using random mann iteration scheme (20)

PDF
Common fixed point theorems for random operators in hilbert space
Alexander Decker
 
PDF
A common random fixed point theorem for rational inequality in hilbert space
Alexander Decker
 
PDF
A common unique random fixed point theorem in hilbert space using integral ty...
Alexander Decker
 
PDF
Common Fixed Theorems Using Random Implicit Iterative Schemes
inventy
 
PDF
A05920109
IOSR-JEN
 
PDF
Fixed Point Theorm In Probabilistic Analysis
iosrjce
 
PDF
A common random fixed point theorem for rational ineqality in hilbert space ...
Alexander Decker
 
PDF
Iterative procedure for uniform continuous mapping.
Alexander Decker
 
PDF
AJMS_384_22.pdf
BRNSS Publication Hub
 
PDF
5_AJMS_231_19_RA.pdf
BRNSS Publication Hub
 
PDF
Some Results on Common Fixed Point Theorems in Hilbert Space
BRNSS Publication Hub
 
PDF
An Analysis and Study of Iteration Procedures
ijtsrd
 
PDF
02_AJMS_186_19_RA.pdf
BRNSS Publication Hub
 
PDF
02_AJMS_186_19_RA.pdf
BRNSS Publication Hub
 
PDF
Common random fixed point theorems of contractions in
Alexander Decker
 
PDF
On Application of the Fixed-Point Theorem to the Solution of Ordinary Differe...
BRNSS Publication Hub
 
PDF
PaperNo8-HabibiSafari-IJAM-CHAOTICITY OF A PAIR OF OPERATORS
Mezban Habibi
 
PDF
Math516 runde
sgcskyone
 
PDF
Fixed point and common fixed point theorems in vector metric spaces
Alexander Decker
 
PDF
Fixed point theorems for random variables in complete metric spaces
Alexander Decker
 
Common fixed point theorems for random operators in hilbert space
Alexander Decker
 
A common random fixed point theorem for rational inequality in hilbert space
Alexander Decker
 
A common unique random fixed point theorem in hilbert space using integral ty...
Alexander Decker
 
Common Fixed Theorems Using Random Implicit Iterative Schemes
inventy
 
A05920109
IOSR-JEN
 
Fixed Point Theorm In Probabilistic Analysis
iosrjce
 
A common random fixed point theorem for rational ineqality in hilbert space ...
Alexander Decker
 
Iterative procedure for uniform continuous mapping.
Alexander Decker
 
AJMS_384_22.pdf
BRNSS Publication Hub
 
5_AJMS_231_19_RA.pdf
BRNSS Publication Hub
 
Some Results on Common Fixed Point Theorems in Hilbert Space
BRNSS Publication Hub
 
An Analysis and Study of Iteration Procedures
ijtsrd
 
02_AJMS_186_19_RA.pdf
BRNSS Publication Hub
 
02_AJMS_186_19_RA.pdf
BRNSS Publication Hub
 
Common random fixed point theorems of contractions in
Alexander Decker
 
On Application of the Fixed-Point Theorem to the Solution of Ordinary Differe...
BRNSS Publication Hub
 
PaperNo8-HabibiSafari-IJAM-CHAOTICITY OF A PAIR OF OPERATORS
Mezban Habibi
 
Math516 runde
sgcskyone
 
Fixed point and common fixed point theorems in vector metric spaces
Alexander Decker
 
Fixed point theorems for random variables in complete metric spaces
Alexander Decker
 
Ad

More from Alexander Decker (20)

PDF
Abnormalities of hormones and inflammatory cytokines in women affected with p...
Alexander Decker
 
PDF
A validation of the adverse childhood experiences scale in
Alexander Decker
 
PDF
A usability evaluation framework for b2 c e commerce websites
Alexander Decker
 
PDF
A universal model for managing the marketing executives in nigerian banks
Alexander Decker
 
PDF
A unique common fixed point theorems in generalized d
Alexander Decker
 
PDF
A trends of salmonella and antibiotic resistance
Alexander Decker
 
PDF
A transformational generative approach towards understanding al-istifham
Alexander Decker
 
PDF
A time series analysis of the determinants of savings in namibia
Alexander Decker
 
PDF
A therapy for physical and mental fitness of school children
Alexander Decker
 
PDF
A theory of efficiency for managing the marketing executives in nigerian banks
Alexander Decker
 
PDF
A systematic evaluation of link budget for
Alexander Decker
 
PDF
A synthetic review of contraceptive supplies in punjab
Alexander Decker
 
PDF
A synthesis of taylor’s and fayol’s management approaches for managing market...
Alexander Decker
 
PDF
A survey paper on sequence pattern mining with incremental
Alexander Decker
 
PDF
A survey on live virtual machine migrations and its techniques
Alexander Decker
 
PDF
A survey on data mining and analysis in hadoop and mongo db
Alexander Decker
 
PDF
A survey on challenges to the media cloud
Alexander Decker
 
PDF
A survey of provenance leveraged
Alexander Decker
 
PDF
A survey of private equity investments in kenya
Alexander Decker
 
PDF
A study to measures the financial health of
Alexander Decker
 
Abnormalities of hormones and inflammatory cytokines in women affected with p...
Alexander Decker
 
A validation of the adverse childhood experiences scale in
Alexander Decker
 
A usability evaluation framework for b2 c e commerce websites
Alexander Decker
 
A universal model for managing the marketing executives in nigerian banks
Alexander Decker
 
A unique common fixed point theorems in generalized d
Alexander Decker
 
A trends of salmonella and antibiotic resistance
Alexander Decker
 
A transformational generative approach towards understanding al-istifham
Alexander Decker
 
A time series analysis of the determinants of savings in namibia
Alexander Decker
 
A therapy for physical and mental fitness of school children
Alexander Decker
 
A theory of efficiency for managing the marketing executives in nigerian banks
Alexander Decker
 
A systematic evaluation of link budget for
Alexander Decker
 
A synthetic review of contraceptive supplies in punjab
Alexander Decker
 
A synthesis of taylor’s and fayol’s management approaches for managing market...
Alexander Decker
 
A survey paper on sequence pattern mining with incremental
Alexander Decker
 
A survey on live virtual machine migrations and its techniques
Alexander Decker
 
A survey on data mining and analysis in hadoop and mongo db
Alexander Decker
 
A survey on challenges to the media cloud
Alexander Decker
 
A survey of provenance leveraged
Alexander Decker
 
A survey of private equity investments in kenya
Alexander Decker
 
A study to measures the financial health of
Alexander Decker
 
Ad

Recently uploaded (20)

PPTX
Securing Account Lifecycles in the Age of Deepfakes.pptx
FIDO Alliance
 
DOCX
Daily Lesson Log MATATAG ICT TEchnology 8
LOIDAALMAZAN3
 
PPTX
You are not excused! How to avoid security blind spots on the way to production
Michele Leroux Bustamante
 
PDF
Using the SQLExecutor for Data Quality Management: aka One man's love for the...
Safe Software
 
PPTX
UserCon Belgium: Honey, VMware increased my bill
stijn40
 
PDF
"Scaling in space and time with Temporal", Andriy Lupa.pdf
Fwdays
 
PDF
2025_06_18 - OpenMetadata Community Meeting.pdf
OpenMetadata
 
PDF
Coordinated Disclosure for ML - What's Different and What's the Same.pdf
Priyanka Aash
 
PDF
10 Key Challenges for AI within the EU Data Protection Framework.pdf
Priyanka Aash
 
PDF
9-1-1 Addressing: End-to-End Automation Using FME
Safe Software
 
PDF
Cyber Defense Matrix Workshop - RSA Conference
Priyanka Aash
 
PDF
cnc-processing-centers-centateq-p-110-en.pdf
AmirStern2
 
PDF
PyCon SG 25 - Firecracker Made Easy with Python.pdf
Muhammad Yuga Nugraha
 
PDF
Enhance GitHub Copilot using MCP - Enterprise version.pdf
Nilesh Gule
 
PDF
Hyderabad MuleSoft In-Person Meetup (June 21, 2025) Slides
Ravi Tamada
 
PDF
Tech-ASan: Two-stage check for Address Sanitizer - Yixuan Cao.pdf
caoyixuan2019
 
PDF
Securing AI - There Is No Try, Only Do!.pdf
Priyanka Aash
 
PPTX
" How to survive with 1 billion vectors and not sell a kidney: our low-cost c...
Fwdays
 
PPTX
Curietech AI in action - Accelerate MuleSoft development
shyamraj55
 
PDF
Oh, the Possibilities - Balancing Innovation and Risk with Generative AI.pdf
Priyanka Aash
 
Securing Account Lifecycles in the Age of Deepfakes.pptx
FIDO Alliance
 
Daily Lesson Log MATATAG ICT TEchnology 8
LOIDAALMAZAN3
 
You are not excused! How to avoid security blind spots on the way to production
Michele Leroux Bustamante
 
Using the SQLExecutor for Data Quality Management: aka One man's love for the...
Safe Software
 
UserCon Belgium: Honey, VMware increased my bill
stijn40
 
"Scaling in space and time with Temporal", Andriy Lupa.pdf
Fwdays
 
2025_06_18 - OpenMetadata Community Meeting.pdf
OpenMetadata
 
Coordinated Disclosure for ML - What's Different and What's the Same.pdf
Priyanka Aash
 
10 Key Challenges for AI within the EU Data Protection Framework.pdf
Priyanka Aash
 
9-1-1 Addressing: End-to-End Automation Using FME
Safe Software
 
Cyber Defense Matrix Workshop - RSA Conference
Priyanka Aash
 
cnc-processing-centers-centateq-p-110-en.pdf
AmirStern2
 
PyCon SG 25 - Firecracker Made Easy with Python.pdf
Muhammad Yuga Nugraha
 
Enhance GitHub Copilot using MCP - Enterprise version.pdf
Nilesh Gule
 
Hyderabad MuleSoft In-Person Meetup (June 21, 2025) Slides
Ravi Tamada
 
Tech-ASan: Two-stage check for Address Sanitizer - Yixuan Cao.pdf
caoyixuan2019
 
Securing AI - There Is No Try, Only Do!.pdf
Priyanka Aash
 
" How to survive with 1 billion vectors and not sell a kidney: our low-cost c...
Fwdays
 
Curietech AI in action - Accelerate MuleSoft development
shyamraj55
 
Oh, the Possibilities - Balancing Innovation and Risk with Generative AI.pdf
Priyanka Aash
 

A common fixed point theorem for two random operators using random mann iteration scheme

  • 1. Mathematical Theory and Modeling www.iiste.org ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online) Vol.3, No.6, 2013-Selected from International Conference on Recent Trends in Applied Sciences with Engineering Applications 263 A Common Fixed Point Theorem for Two Random Operators using Random Mann Iteration Scheme S. Saluja Department of Mathematics, Government J. H. P. G. College Betul (MP) India-460001 Devkrishna Magarde Department of Mathematics, Patel College of Science and Technology, Bhopal(MP) India-462044 Email:[email protected] Alkesh Kumar Dhakde Department of Mathematics, IES College of Technology, Bhopal(MP) India-462044 Abstract: In this paper, we proved that if a random Mann iteration scheme is defined by two random operators is convergent under some contractive inequality the limit point is a common fixed point of each of two random operators in Banach space. Keywords: Mann iteration, fixed point, measurable mappings, Banach space. AMS Subject Classification: 47H10, 47H40. 1.Introduction and Preliminaries: Kasahara [8] had shown that if an iterated sequence defined by using a continuous linear mapping is convergent under certain assumption, then the limit point is a common fixed point of each of two non-linear mappings. Ganguly [6] arrived at same conclusion by taking the same contractive condition and using the sequence of Mann iteration [9]. It this note, it is proved that if a random Mann iteration scheme is defined by two operators is convergent under some contractive inequality the limit point is a common fixed point of each of two random operators in a Banach space. The study of random fixed point has been an active area of contemporary research in mathematics. Random iteration scheme has been elaborately discussed by Choudhury ([1], [2], [3], [4]). Looking to the immense applications of iterative algorithms in signal processing and image reconstruction, it is essential to venture upon random iteration. We first review the following concepts, which are essential for our study. Throughout this paper ( Ω, ∑ ) denotes a measurable space and X stands for a separable Banach space. C is a nonempty subset of X . A mapping :f Ω C→ is said to be measurable if ( ) ∑∈∩− CBf 1 for every Borel subset B of X . A mapping :F Ω ,CC →× is said to be a random operator, if ( ):., xF Ω C→ is measurable for every Cx ∈ . A measurable mapping :g Ω C→ is said to be a random fixed point of the random operator :F Ω ,CC →× if ( ) )()(, tgtgtF = for all ∈t Ω. A random operator :F Ω CC →× is said to be continuous if, for fixed ∈t Ω, ( ) CCtF →:,. is continuous. Definition 1 (Random Mann Iteration scheme): Let :,TS Ω CC →× be two random operators on a nonempty convex subset C of a separable Banach space X . Then the sequence { }nx of random Mann iterates associates with TS or is defined as follows: (1) Let :0x Ω C→ be any given measurable mapping. (2) ( ) ( ))(,1)(1 txtScxctx nnnnn +−=+ for 0>n , ∈t Ω, or (3) ( ) ( ))(,1)(1 txtTcxctx nnnnn +−=+ for 0>n , ∈t Ω, where nc satisfies: (4) 10 =c for 0=n (5) 10 ≤< nc for 0>n
  • 2. Mathematical Theory and Modeling www.iiste.org ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online) Vol.3, No.6, 2013-Selected from International Conference on Recent Trends in Applied Sciences with Engineering Applications 264 (6) 0lim >= ∞→ hcn n 2.Main Result: Theorem 1: Let :,TS Ω ,CC →× where C is a nonempty closed convex subset of a separable Banach space X , be two continuous random operators which satisfy the following inequality: for all Cyx ∈, and ∈t Ω, ( ) ( ) ( ) ( ){ } ( ) ( ){ } ( ){ ( ) })()()(,)( ,)()()(,)(max )(,)(,)(,)(max )(,)(,)(,)(,)()(max,,(7) tytxtytTty tytxtxtStx tytTtytxtStx txtStytytTtxtytxytTxtS −+− −+−+ −−+ −−−≤− γ β α where 1and0,, <++≥ γβαγβα . If the sequence { })(txn of random Mann iterates associated with TS or satisfying (1)-(6) converges, then it converges to a common random fixed point of both TS and . Proof: We may assume that the sequence { })(txn defined by (2) is pointwise convergent, that is, for all ∈t Ω, (8) )(lim)( txtx n n ∞→ = Since X is a separable Banach space, for any continuous random operator :A Ω ,CC →× and any measurable mapping :f Ω C→ , the mapping ( ))(,)( tftAtx = is measurable mapping [7]. Since )(tx is measurable and C is convex, it follows that{ })(txn constructed in the random iteration from (2)-(6) is a sequence of measurable mappings. Hence being limit of measurable mapping sequence is also measurable. Now for ∈t Ω, from (2), (6) and (7) we obtain ( ) ( ))(,)()()()(,)( 11 txtTtxtxtxtxtTtx nn −+−≤− ++ ( ) ( ) ( ))(,)(,)(1)()( 1 txtTtxtSctxctxtx nnnnn −+−+−≤ + ( ) ( ) ( ) ( ))(,)(, )(,)(1)()( 1 txtTtxtSc txtTtxctxtx nn nnn −+ −−+−≤ + ( ) ( ) ( ) [ ( ){ ( )} ( ){ ( )} ( ){ ( ) }])()()(,)(,)()( )(,)(max)(,)( ,)(,)(max)(,)( ,)(,)(,)()(max )(,)(1)()()(,)()9( 1 txtxtxtTtxtxtx txtStxtxtTtx txtStxtxtStx txtTtxtxtxc txtTtxhtxtxtxtTtx nn nn nnn nnn nn −+−− +−+− −+− −−+ −−+−≤− + γ β α Now ( )( ) ( ) )()()()(,)()(, 1 txtxtxctxtSctxtxtSc nnnnnnnnn −=−=− + Implies that ( ) )()( 1 )()(, 1 txtx c txtxtS nn n nn −≤− + This shows that for ∈t Ω, ( ) ∞→→− ntxtxtS nn as0)()(, and so ( ) ∞→→− ntxtxtS n as0)()(, as S is continuous random operator and x is a measurable mapping. Consequently from (9) on taking limit as ∞→n we obtain ( ) ( ) ( ) ( ){ }[ ( ){ } ( ){ }])(,)(,0max)(,)(,0max 0,)(,)(,0max)(,)(10)(,)( txtTtxtxtTtx txtTtxctxtTtxhtxtTtx n −+−+ −+−−+≤− γβ α
  • 3. Mathematical Theory and Modeling www.iiste.org ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online) Vol.3, No.6, 2013-Selected from International Conference on Recent Trends in Applied Sciences with Engineering Applications 265 ( ) ( ))(,)(1 txtTtxhhhh −+++−≤ γβα implies that ( ) )()(, txtxtT = for all ∈t Ω ( )1sin <++ γβαce as T is continuous random operator and x is measurable. Therefore, ( ) ( ) ( ))(,)(,)()(, txtTtxtStxtxtS −=− ( ) ( ){ } ( ) ( ){ } ( ){ ( ) })()()(,)( ,)()()(,)(max )(,)(,)(,)(max )(,)(,)(,)(,)()(max txtxtxtTtx txtxtxtStx txtTtxtxtStx txtStxtxtTtxtxtx −+− −+−+ −−+ −−−≤ γ β α ( ) ( ){ } ( ){ } ( ){ })()()()( ,)()()(,)(max )()(,)(,)(max )(,)(,)()(,)()(max)()(, txtxtxtx txtxtxtStx txtxtxtStx txtStxtxtxtxtxtxtxtS −+− −+−+ −−+ −−−≤− γ β α ( ){ } ( ){ } ( ){ }0,)(,)(max 0,)(,)(max)(,)(,0,0max txtStx txtStxtxtStx −+ −+−≤ γ βα ( ) ( ))(,)( txtStx −++≤ γβα Since 1<++ γβα implies that ( ) )()(, txtxtS = . Uniquness:-Let )()(),( txtvtv ≠ is another common fixed point of S and T ,then, using (7), we have ( ) ( ){ } ( ) ( ){ } ( ){ ( ) })()()(,)( ,)()()(,)(max )(,)(,)(,)(max )(,)(,)(,)(,)()(max)()( tvtxtvtTtv tvtxtxtStx tvtTtvtxtStx txtStvtvtTtxtvtxtvtx −+− −+−+ −−+ −−−≤− γ β α { } { } { })()()()( ,)()()()(max )()(,)()(max )()(,)()(,)()(max tvtxtvtv tvtxtxtx tvtvtxtx txtvtvtxtvtx −+− −+−+ −−+ −−−≤ γ β α )()()( tvtx −+≤ γα 1as)()( <+=⇒ γαtvtx This complete the proof. References: [1] Choudhury B. S., Convergence of a random iteration scheme to a random fixed point, J. Appl. Math. Stoc. Anal., 8(1995), 139-142. [2] Choudhury B. S., Random Mann iteration scheme, Appl. Math. Lett., 16 (2003), 93-96. [3] Choudhury B. S., Ray M., Convergence of an iteration leading to a solution of a random operator equation, J. Appl. Math. Stoc. Anal., 12 (1999), 161-168.i [4] Choudhury B. S., Upadhyay A., An iteration leading to a solution and fixed point of operators, Soochow J. Math., 25 (1999), 394-400. [5] Ciric Lj., Quasi-contractions in Banach space, Publ. Inst. Math., 21(35) (1977), 41-48.
  • 4. Mathematical Theory and Modeling www.iiste.org ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online) Vol.3, No.6, 2013-Selected from International Conference on Recent Trends in Applied Sciences with Engineering Applications 266 [6] Ganguly A. K., On common fixed point of two mappings, Mathematics Seminar Notes., 8 (1980), 343-345. [7] Himmelberg C.J.,Measurable relations, Fund.Math.,LXXXVII (1975),53-71. [8] Kasahara S., Fixed point iterations using linear mappings, Mathematics Seminar Notes., 6 (1978), 87-90. [9] Rhoades B. E., Extensions of some fixed point theorems of Ciric, Maiti and Pal, Mathematics Seminar Notes., 6 (1978), 41-46.
  • 5. This academic article was published by The International Institute for Science, Technology and Education (IISTE). The IISTE is a pioneer in the Open Access Publishing service based in the U.S. and Europe. The aim of the institute is Accelerating Global Knowledge Sharing. More information about the publisher can be found in the IISTE’s homepage: http://www.iiste.org CALL FOR PAPERS The IISTE is currently hosting more than 30 peer-reviewed academic journals and collaborating with academic institutions around the world. There’s no deadline for submission. Prospective authors of IISTE journals can find the submission instruction on the following page: http://www.iiste.org/Journals/ The IISTE editorial team promises to the review and publish all the qualified submissions in a fast manner. All the journals articles are available online to the readers all over the world without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself. Printed version of the journals is also available upon request of readers and authors. IISTE Knowledge Sharing Partners EBSCO, Index Copernicus, Ulrich's Periodicals Directory, JournalTOCS, PKP Open Archives Harvester, Bielefeld Academic Search Engine, Elektronische Zeitschriftenbibliothek EZB, Open J-Gate, OCLC WorldCat, Universe Digtial Library , NewJour, Google Scholar