 Open Access
 Authors : Rahul Patil
 Paper ID : IJERTCONV8IS05061
 Volume & Issue : ICSITS – 2020 (Volume 8 – Issue 05)
 Published (First Online): 19032020
 ISSN (Online) : 22780181
 Publisher Name : IJERT
 License: This work is licensed under a Creative Commons Attribution 4.0 International License
Composition Method
Rahul Patil School of Mathematics MITWPU Pune, India
Abstract Composition method provides easy solution to some common life situation. It also describes some mathematical situations like set concept as well as applications of sequences for solution. In this paper we provide two form of this method, in the form of three interdependent formulas depending upon their area of application. It focuces on grouping, adding and placing n object, which is similar to making different groups of employees and giving them bonus or facilities etc.
Keywords: Sequences, Cycloid, Power set, statistics.

INTRODUCTION
Invention of numbers is major initiative in the field of mathematics as it sets a basic building blocks for foundation of mathematics. Basic operation like addition, substraction, multiplication and division which are used and formulated in most of the part of mathematics.
We deal with situation in which we collect n object they are grouped, placed, added or expressed as a relation between them. Most of the time we assume placing and collection of objects while doing addition or making calculations through practice but if we deal with these two constraints it allows us to perform calculations more systematically as we can deal more complex situation through formulas.
We give formulation of method, expressed by some rules. Basis for this is pigeonhole principle and situation like adding colors which seems to be practical and easy but still admits new formulations. Pigeonhole principle has many forms out of which equivalent form has used here.

DEFINITIONS

Unit: It is number ,measurable quantity or object considered for counting or addition which forms the basis for composition.
Pigeonhole principle: it says n objects occupy exactly n distinct places such that each place receives exactly one object.

Composition: It is a operation defined on n units to count/ add them such that it has following formulation.
Cn = 1 given n [1]
Cn = n given n [2]

is unitary composition, means addition or counting of nunits results in single unit.

is natural composition, means addition or counting is like natural number addition.

is relative composition, this addition is due to inter relation between n units.
Illustration: We illustrate composition for given operation by following steps.
1]Decide unit for given composition operation and write it in unitary form.
2]Apply pigeonhole principle of suitable form to get natural composition
3]With definite relation between the object take sum over natural composition to obtain relative composition.


EXAMPLES:
Example A illustrate the above composition by example which says that, obtain composition formulas for n distinct coloured places by means of mixing or adding them partially.
Solution: i]we have k distinct coloured places ,we obsereved that by taking unit circle of each colour we add them at a place we get single distinct colour from k colours
Thus
Pk = 1 given k
ii] Now take the k colours attached or added at single point so according to pigeonhole principle, which says that n objects occupy n distinct places, we get k colours in this addition
i.e 1+1+1 +1 k times
Sn = Xn or Xn
n
Note that in each case
given n [3]
Thus,
Pk = k given k
iii] To get relative composition, consider the case of adding
colours partially pairwise. Note that 1+1=3 3+1=5 . so, on
i.e Sk = 2k 1 given k
So, we see that unitary, natural and relative composition exist in case of colour mixing by means of variation of places.
Example B Illustrate the composition by means of place variation where you travel 9n km with unit / trip of 9km Solution:i] consider a tourist place where you take circular trip of radius a and circumference C= 9km . also to complete a journey of 9n km , n turn are taken along C of a circular path . but we see only 1 trip
i.e Cn = 1 given n
ii]Now if we straighten the way along a line.In tourist place in which at every C=2a i.e C=9km we visit to different place[pigeonhole principle] . so during journey of 9n km,along straight path n places with different scenario are seen,that can be expressed as
i.e Cn = n given n So n trip can be taken by selecting proper tourist track in the journey, here we take straight path.
iii]Now make journey along a cycloid of circle of circumference C=2a ,which lie along previous linear track with trip C=9km with respect to [ii] path.
ii]Now arranged then according to pigeonhole principle in n boxes such that every object has exactly two neighbours. So we get n collection which contains single object.
i.e Cn = n.
n
n
iii]from above we notice that n objects are arranged in a circular way any object can take any position then no of arrangment using permutation formulare Pn = n!
Since each C reached by path leangth 8 a , which is a length of arc in one revolution ,number of trips attend along cycloid path is given as
2a Sn = 8a n
Sn = 4 n
Since trip is not done in fraction, so to stop at specific station we take greatest integer part of above formula . In above formula fraction part comes because journey is fixed to 9n km. so trips are reduced from n to[ /4 ]n
Example C Take unit as a finite leangth ,write infinite set in terms of finit set using composition.
Solution: Take operation locus of a point which includes infinite points. Now locus of a point equidistance from a single point is circle of finite length C{= circumference}
i.e Cn = 1 finite leangth[C]
Now take locus of a point along a line [linearly] on which we can make n partition of leangth C
i.e Cn = n partitions
Again take relative composition as sum over n units which gives Sn = n 1
Which is infinite leangth since n is infinite. So we
expressed infinite leangth in terms of finite leangth
i.e C. Sn = n 1. C
=nC .. infinite leangth
Example D: Illustrate the composition for collection of n objects Solution : i] make
single collection of n object.
Cn = 1
i.e Sn = n!
So for collection of n similar objects composition formulas can be derived.
Remark: We see that taking collection is analogus with definition of set which is defined over collection of n objects . more specifically similar n objects count to be1
i.e Cn = 1
and distinct n element count to be n
i.e Cn = n.
Further we define set of power set of n element which includes Sn = 2n elements
So number of element in set is composible under the
operation objects can be similar or distinct.

SIGNIFICANCE
In pigeonhole principle two things are consider one place and second is objects . Both of this things can be categories as similar or distinct. composition is mainly lies on this facts n objects occupy same or distinct places as well as n object can be similar or distinct in a collection.
Mixing or adding colours, rotation of body around the axis or along the line, similar or distinct collection of object
,measuring leangth or area of a circle etc. are the operation over which composition can apply.
In further note composition method has boiled down to some practical formulas that can be readily used in problem solving, thus it becomes applicable in word problem. Second form of this method seems to touch statistics of descrete frequency distribution. Means e envolve numbers and there specifications to find desire results.
V PROPERTIES:

If Cn =1 is unitary composition and Cn=n is natural
2]Cn = k=x,y,z Ck
where k = x, y, z
and n = k=x,y,z k
composition for collection of n objects then
Cn = C1 + C1 + + C1 n times
Proof: Consider
Cn = n
3]Sx,y,z = k=xyz k . t
Where t is positive real number .

Composition for making r subgroups containing xk units is given by
1]Cxk = 1 where k = 1,2, r
= 1+1+ +1 n times
Now since Cn = 1 we have C1 = 1 by applying pigeonhole
2]Cn = k Cxk
where k = 1,2, . r
and n = k xk
principle.
Substituting this for 1 we get
Cn = C1 + C1 + + C1 n times
Thus
Cn = nC1
Here C1
Represent distinct object appearing once in collection
B. In collection of n units , subgroups are formed like k then we have
Ck = 1
3]Sr = k xk . t where k = 1,2, r
Where t is positive real number .
VII APPLICATION

it is applicable over n object to count or add them. Where object specification are rough

Some mathematical concepts /situations can be put in this formulations

It allow us to do simple word problem as well as basic statistical problem
Cn = Ck
k=x,y,z
And n = k=x,y,z k
where k = x, y, z

sequencial criterion predicts the solution as well as we can set our problems accordingly.
Example A:
Proof: Consider grouping in form of sub group. Thus total number of sub group as partition of n
Thus from [I]
Cn = C1 + C1 + + C1 n times
For sub grouping or partitions we have
Cn = Cx + Cy + Cz i. e
There are 9 mathematician ,6 computer scientist and 3 statistician in the university . 1/3 are selected from each srteam for scholarship ,using IInd form calculate how many will get selected for scholarship?
Solution:
We have Ck = 1 Where k=3,6,9 Thus Cn = k Ck
= k 1
=3
Cn = Ck
k=x,y,z
where k = x, y, z
i.e C18 = 3
Since in each subgroups there are k units they all add up to total unit n
Thus
since
n = k k
n=18
n = k
k=x,y,z
Remark: Now sequencially for r patitions we have
Now S3 = k=x,y,z k . t where t =1/3
= 1/3(18)
S3 =6 will get selected for scholarship Hence the solution.
Example B: Consider a dice which is thrown n times so n
Cn = Cxk
r
where k = 1,2 r
trials are made. If Xk denote frequency of k then exprese the probability condition using second form.
Solution: We have
Cn = r partitions
n = xk
r
Cxk = 1 where k = 1,2, 6 Where 1 represent a partition of k and Xk Represents occurrence. Futher
VI SECOND FORM
A. Composition for making subgroups of k units from n
Cn = Cxk
k
where k = 1,2, . .6
units / objects is given by 1] Ck = 1

Cn = 6
and n = k xk
Now probability of each no is given by Xk
n
Thus probability condition can be expressed as
S6 = xkn
k
where k = 1,2, 6
= 1
Hence the solution
CONCLUSIONS
It is an attempt to treat basic addition in terms of formulas for objects which are given in rough format and extend same formulation to simple word problem. We may assign weight to relative composition to solve more complex situation.
REFERENCES

Introduction to real analysis by Robert G.Bartle and Donald R Shelbert

Introduction to descriptive statistics by Jachie Nicolus

Numerical method by Jeffrey R chasnov

Cycloid ,Pigeonhole principle on wikipedia
