This document summarizes research on contraction mappings and their generalizations. It defines key terms like fixed point and contraction mapping. It presents Banach's fixed point theorem, which states that every contraction mapping on a complete metric space has a unique fixed point. It proves this theorem and shows that the iterated sequence of a contraction mapping converges to the unique fixed point. The document also discusses compatible mappings and presents proofs about compatible pairs of mappings being of type (T) or (I). It acknowledges the contributions of others in the field.
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In this article we assume that experts express their view points by way of approximation of Triangular
fuzzy numbers. We take the help of fuzzy set theory concept to model the situation and present a method to
aggregate these approximations of triangular fuzzy numbers to obtain an overall approximation of
triangular fuzzy number for each system and then linear ordering done before the best system is chosen. A
comparison has been made betweenapproximation of triangular fuzzy systems and the corresponding fuzzy
triangular numbers systems. The notions like fuzziness and ambiguity for the approximation of triangular
fuzzy numbers are also found.
AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...mathsjournal
In this article we assume that experts express their view points by way of approximation of Triangular
fuzzy numbers. We take the help of fuzzy set theory concept to model the situation and present a method to
aggregate these approximations of triangular fuzzy numbers to obtain an overall approximation of
triangular fuzzy number for each system and then linear ordering done before the best system is chosen. A
comparison has been made betweenapproximation of triangular fuzzy systems and the corresponding fuzzy
triangular numbers systems. The notions like fuzziness and ambiguity for the approximation of triangular
fuzzy numbers are also found.
AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...mathsjournal
In this article we assume that experts express their view points by way of approximation of Triangular
fuzzy numbers. We take the help of fuzzy set theory concept to model the situation and present a method to
aggregate these approximations of triangular fuzzy numbers to obtain an overall approximation of
triangular fuzzy number for each system and then linear ordering done before the best system is chosen. A
comparison has been made betweenapproximation of triangular fuzzy systems and the corresponding fuzzy
triangular numbers systems. The notions like fuzziness and ambiguity for the approximation of triangular
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IOSR Journal of Mathematics(IOSR-JM) is an open access international journal that provides rapid publication (within a month) of articles in all areas of mathemetics and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in mathematics. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
International Journal of Mathematics and Statistics Invention (IJMSI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJMSI publishes research articles and reviews within the whole field Mathematics and Statistics, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
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In this article we assume that experts express their view points by way of approximation of Triangular fuzzy numbers. We take the help of fuzzy set theory concept to model the situation and present a method to aggregate these approximations of triangular fuzzy numbers to obtain an overall approximation of triangular fuzzy number for each system and then linear ordering done before the best system is chosen. A comparison has been made between approximation of triangular fuzzy systems and the corresponding fuzzy triangular numbers systems. The notions like fuzziness and ambiguity for the approximation of triangular fuzzy numbers are also found.
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COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...mathsjournal
In this paper, we give some new definition of Compatible mappings of type (P), type (P-1) and type (P-2) in intuitionistic generalized fuzzy metric spaces and prove Common fixed point theorems for six mappings under the
conditions of compatible mappings of type (P-1) and type (P-2) in complete intuitionistic fuzzy metric spaces. Our results intuitionistically fuzzify the result of Muthuraj and Pandiselvi [15]
Mathematics subject classifications: 45H10, 54H25
Common Fixed Point Theorems in Compatible Mappings of Type (P*) of Generalize...mathsjournal
In this paper, we give some new definition of Compatible mappings of type (P), type (P-1) and type (P-2) in intuitionistic generalized fuzzy metric spaces and prove Common fixed point theorems for six mappings
under the conditions of compatible mappings of type (P-1) and type (P-2) in complete intuitionistic fuzzy
metric spaces. Our results intuitionistically fuzzify the result of Muthuraj and Pandiselvi [15]
Mathematics subject classifications: 45H10, 54H25
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https://utilitasmathematica.com/index.php/Index
Utilitas Mathematica journal that publishes original research. This journal publishes mainly in areas of pure and applied mathematics, statistics and others like algebra, analysis, geometry, topology, number theory, diffrential equations, operations research, mathematical physics, computer science,mathematical economics.And it is official publication of Utilitas Mathematica Academy, Canada.
In this paper, we introduced the modified differential transform which is a modified version of a two-dimensional differential transform method. First, the properties of the modified differential transform method (MDTM) are presented. After this, by using the idea modified differential transform method we will find an analytical-numerical solution of linear partial integro-differential equations (PIDE) with convolution kernel which occur naturally in various fields of science and engineering. In some cases, the exact solution may be achieved. The efficiency and reliability of this method are illustrated by some examples.
1. Advance Physics Letter
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ISSN (Print) : 2349-1094, ISSN (Online) : 2349-1108, Vol_1, Issue_1, 2014
13
Contraction Mapping and Their Generalizations
1
Reeta Sahu; 2
Vikas Dubey; 1
Sagar Sharma; 2
Ratnesh Tiwari
1
Asst. Statistical officer, DRDA Balod, C.G. India
3
Department of Physics Bhilai Institute of Technology, Raipur C.G., India
Email: reetasahu85@gmail.com
Abstract:- The contraction mapping principle is one of the
most useful tools in the study of nonlinear equations, be they
algebraic equations, integral or differential equations. The
principle is a fixed point theorem which guarantees that a
contraction mapping of a complete metric space to itself has
a unique fixed point which may be obtained as the limit of an
interaction scheme defined by repeated images under the
mapping of an arbitrary starting point in the space. As such,
it is a constructive fixed point theorem and hence may be
implemented for the numerical computation of the fixed
point.
Keywords: Contraction mapping, fixed point theory,
compatible mapping.
I. INTRODUCTION AND THEORY:
Let us first define some terms
Fixed point
Let (x, d) be an metric space & let T: X X be a
mapping. Than T is said to have a fixed point if there
exists a point in X such that
T (X) = x
Contraction mapping
The mapping T is said to be a contraction mapping if
d (Tx, Ty) C d (x,y) x,y 𝜀 X
Theorem : Banach’s Fixed Point Theorem
Every contraction mapping on a complete metric space
has a unique fixed Point.
Proof: Pick an element X0 belonging to X
arbitrarily. Construct the sequence
{ 𝑋 𝑛 } as follows:
𝑋1 = T𝑋0, 𝑋2 = T𝑋1 ,
𝑋3 = T𝑋2, 𝑋4 =T𝑋3
--------------------------------------------------
----------𝑋 𝑛 =T𝑋 𝑛−1
This sequence {𝑋 𝑛 } is called the iterated sequence
We have,
d (𝑋1, 𝑋2) = d (T𝑋0, T𝑋1) cd (XO, 𝑋1) = c`d (XO,
T𝑋𝑜)
d (𝑋2 , 𝑋3 ) = d (T𝑋1, T𝑋2) cd (X1,𝑋2) = 𝐶2
𝑑 (XO,
T𝑋𝑜)
d (𝑋3,𝑋4) = d (T𝑋2,T𝑋3) cd (𝑋2,𝑋3) = 𝐶3
d (𝑋𝑜,T𝑋𝑜)
--------------------------------------------------------------------
-------------------------------------------------------------------
--------------------------------------------------------------------
d (𝑋 𝑛 , 𝑋 𝑛+1) 𝐶 𝑛
d ,(xo, T𝑋𝑜)
For any positive integer m
d (𝑋 𝑛 ,𝑋 𝑚 ) d (𝑋 𝑛 ,𝑋 𝑛+1)+ d (𝑋 𝑛+1,𝑋 𝑛+2)+ d
(𝑋 𝑛+1, 𝑋 𝑛+2) +
--------------------------------+ d
(𝑋 𝑚−1, 𝑋 𝑚 )
𝐶 𝑛
d (𝑋𝑜, T𝑋𝑜)+ 𝐶 𝑛+1
d
(𝑋𝑜,T𝑋𝑜)+
------------------+𝐶 𝑚−1
d (𝑋𝑜,
T𝑋𝑜)
(𝐶 𝑛
+ 𝐶 𝑛+1
+-----------
+𝐶 𝑚−1
) d (𝑋𝑜, T𝑋𝑜)
= 𝐶 𝑛
- 𝐶 𝑚
d (𝑋𝑜, T𝑋𝑜)
1-c
𝐶 𝑛
d (𝑋𝑜 , T𝑋𝑜)
1-c
2. Advance Physics Letter
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ISSN (Print) : 2349-1094, ISSN (Online) : 2349-1108, Vol_1, Issue_1, 2014
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Since O c 1
Therefore d (𝑋 𝑛 , 𝑋 𝑚 ) 0 as n
Thus (𝑋 𝑛 ) is a cauchy sequence Since, x is complete, (
𝑋 𝑛 ) converges to x.Let us prove that x is a fixed point
of the operator T,
i.e. T(x) = x
Now,
d (x, Tx) d(x , 𝑋 𝑛 ) + d(𝑋 𝑛 , TX)
d(X, 𝑋 𝑛 ) + d(T𝑋 𝑛−1, Tx)
d (x, 𝑥 𝑛 ) + c d (𝑋 𝑛−1 , X)
0 as n (since lim𝑛 →
𝑥 𝑛 = x)
Hence T (x) = x i.e., x is a fixed point of T.
Uniqueness of T
Let y be an element of X such that .
T (y) = y
Now,
d( x, y) = d (Tx, Ty) cd (x, y)
If, x y. than d (x,y) o
& dividing by d (x, y)
We have C 1, which contradicts the hypothesis that
0 c 1.
This contraction shows that x = y. Thus the fixed point
is unique.
II. RESULTS AND DISCUSSION:
Every compatible pair of mapping is a compatible pair
of mapping of type (T).
Proof: Suppose that I & T are compatible mappings of a
normed space X into itself. Let {𝑥 𝑛 } be a sequence in X
such that li𝑚 𝑛→∞ I𝑥 𝑛 = li𝑚 𝑛→∞ T𝑥 𝑛 = t some t X
We have
IT𝑥 𝑛 - I𝑥 𝑛 IT𝑥 𝑛 - TI𝑥 𝑛 ∥ + TI𝑥 𝑛 -T𝑥 𝑛 +
T𝑥 𝑛 - I𝑥 𝑛 ∥
i.e :
IT𝑥 𝑛 - I𝑥 𝑛 ∥ + IT𝑥 𝑛 - TI𝑥 𝑛
< 2 JT𝑥 𝑛 - TJ𝑥 𝑛 ∥ + TI𝑥 𝑛 - T𝑥 𝑛 ∥ +
T𝑥 𝑛 - I𝑥 𝑛 ∥
Letting n→ ∞, since l & T are compatible we have.
li𝑚 𝑛→∞ IT𝑥 𝑛 - I𝑥 𝑛 ∥ + li𝑚 𝑛→∞ IT𝑥 𝑛 - TI𝑥 𝑛 ∥
< li𝑚 𝑛→∞ TI𝑥 𝑛 - T𝑥 𝑛 ∥
Therefore, I & T are compatible mapping of type (T).
Similarly, we can show that I & T are compatible
mappings of type (l).
Suppose that I & T are compatible mappings of a
normed Space X into itself. They are compatible if and
only if They are compatible both type (T) and (I).
Proof:
The necessary condition follows by proposition (1.1).
To prove the sufficient condition.
let I & T be compatible of both types (I) & (T). then we
have
(1) li𝑚 𝑛→∞
IT𝑥 𝑛 - I𝑥 𝑛 ∥ + li𝑚 𝑛→∞ ∥ IT𝑥 𝑛 - TI𝑥 𝑛 ∥ < li𝑚 𝑛→∞ ∥ TI𝑥 𝑛
-T𝑥 𝑛 ∥
(2) li𝑚 𝑛→∞ ∥
TI𝑥 𝑛 - T𝑥 𝑛 ∥ + li𝑚 𝑛→∞ ∥ IT𝑥 𝑛 -TI𝑥 𝑛 ∥ < li𝑚 𝑛→∞ ∥ IT𝑥 𝑛 -
I𝑥 𝑛 ∥,
Whenever there exists a sequence {𝑥 𝑛 } in X such that
li𝑚 𝑛→∞ I𝑥 𝑛 = li𝑚 𝑛→∞ T𝑥 𝑛 = t
for some t in X. Adding (1) & (2) and cancelling the
common
term, we obtain
li𝑚 𝑛→∞ IT𝑥 𝑛 - TI𝑥 𝑛 ] 0
Which implies that li𝑚 𝑛→∞ ∥IT𝑥 𝑛 - TI𝑥 𝑛 ∥ = 0
Therefore, the mappings I & T are compatible
III. ACKNOWLEDGEMENT:
The author is thankful to Dr. G. K. Goswami (H.O.D.
Mathematics & Research centre, Kalyan College,
Bhilai) for preparing this paper.
REFERENCES:
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3. Advance Physics Letter
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_____________________________________________________________________
ISSN (Print) : 2349-1094, ISSN (Online) : 2349-1108, Vol_1, Issue_1, 2014
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