Modern International Journal of Pure and Applied Mathematics
2017; 1(2): 19-23
doi:10.5923/j.mijpam.20170102.01

M. R. Pinheiro
IICSE University, DE, USA
Correspondence to: M. R. Pinheiro, IICSE University, DE, USA.
| Email: | ![]()  | 
Copyright © 2017 Scientific & Academic Publishing. All Rights Reserved.
This work is licensed under the Creative Commons Attribution International License (CC BY). 
                    	http://creativecommons.org/licenses/by/4.0/
                    	
In this note we copy the work we presented on Second Note on the Shape of S-convexity [1], but apply the reasoning to one of the new limiting lines, limiting lines we presented on Summary and Importance of the Results Involving the Definition of S-Convexity [2]. This is about Possibility 1, second part of the definition, that is, the part that deals with negative real functions. We have called it S1 in Summary [2]. The first part has already been dealt with in First Note on the Shape of S-convexity [3]. This paper is about progressing toward the main target: Choosing the best limiting lines amongst our candidates.
Keywords: Analysis, Convexity, Definition,S-convexity, Geometry, Shape
Cite this paper: M. R. Pinheiro, First Note on the New Shape of S-convexity, Modern International Journal of Pure and Applied Mathematics, Vol. 1 No. 2, 2017, pp. 19-23. doi: 10.5923/j.mijpam.20170102.01.
 and replace the previous class 
 with a new version of it, which would be one of our possible definitions, as for [4].So far, we have:
Definition 1. A function 
, where 
, is told to belong to 
 if, for each 
 we select, and for all of them, the inequality
Definition 2. A function 
, where 
, is told to belong to 
 if, for each 
 we select, and for all of them, the inequality

Remark 1. If the inequalities are obeyed in the reverse1 situation by 
, then 
 is said to be 
concave.We are now going to concentrate only on the pieces of the definition that we have not yet proven in [3].
is continuous through a few theorems from Real Analysis.We know that both the sum and the product of two continuous functions are continuous functions (see [5]). Notice that 
 is continuous, given that 
 and 
. 
 and 
 are constants, therefore could be seen as constant functions, which are continuous functions. 
 is continuous due to the allowed values for 
 and 
.Notice that 
 is 
, that is, is smooth (see [6]).Because the coefficients that form the convexity limiting line use 100% split between the addends and form straight lines and the coefficients that form the 
convexity limiting line use more than 100% or 100% split between the addends, given that 
 and 
 (we are using the negativity of the function here), we know that the limiting line for 
 convexity lies always above or over the limiting line for convexity, and contains two points that always belong to both the convexity and the 
 convexity limiting lines (first and last or 
 and (
).We now have then proved, in a definite manner, also in the shape of a paper, that our limiting line for the 
convexity phenomenon is smooth, continuous, and located above or over the limiting line for the convexity phenomenon. Our 
 convexity limiting line should also be concave when seen from the limiting convexity line for the same points 
 (taking away the cases in which 
).
where dl is a differential displacement vector along a curve 
 (see [7]).In Cartesian coordinates, that means that the Arc Length of a curve is given by
whenever the curve is written in the shape 
.Our limiting curve for 
 convexity could be expressed as a function of 
 in the following way:
In deriving the above function in terms of 
, we get:
With this, our arc length formula will return:
We will make use of a constant function, and we know that every constant function is convex, therefore also 
convex (for every allowed value of s), to study the limiting line for 
 convexity better.We choose 
 to work with (this function is suitable because 
).We then have:
Notice that 
 indeterminate and 
.Notice that 0.25 will become 0.09 when raised to 
 and its supplement through the formula 
, 0.75, will become 0.6.In convexity, our results would have been 0.25 and 0.75 instead, that is, 64% and 20% less in negativity is gotten with 
 convexity, respectively.We now calculate the area under the curve by hand because Maple could not compute it inside of an acceptable time interval: We notice that the vertex of the graph that represents the function we are interested in is located on (0.5; 1) in both cases. We can then draw a triangle on both sides of the space we are interested in, and find an approximation to our target area. After that, we can subtract an approximation to the piece of the triangle we cannot consider. From eye observation, we can tell that the second leaf is about half of the first, so that whatever we put for the first, we just halve it for the second.
![]()  | Figure 1. Maple Plot, s=0.5 | 
![]()  | Figure 2. Maple Plot, s=0.25 | 
 is replaced with -1 in the arc length formula:
convexity limiting curve is reached when 
 if 
 is constant and 
 because the first derivative of the function describing the limiting line gives us zero for 
 and changes sign from positive to negative.
 instead of 
. Today we used Maple and 
 for when we have modulus equating function and exponent being only s. Our results were:
When we used exponent 
 instead for the case in which the modulus does not equate the function, we got, for 
, this time through Maple, the following table:
.We have studied alternatives to the exponent 
 because it seemed that there was non-negligible discrepancy between the case in which the modulus equates the function and the case in which it doesn't.The replacement has been thought of because ideally we would have the same height all the way through for the limiting curve in both the negative and the non-negative case, but such fact was not being verified with the previous definition, as seen on [4].We definitely needed to keep the points where 
 at the same height.That is why our only possible alternative would be the limiting line containing the log, as seen in [4].Upon considering the figures attained for 
 in the system containing the exponent  s for the case in which the modulus of the function does not equate the function, and comparing those with the figures we get for 
 and exponent s, studied here under the light of Maple, we notice that the values are compatible enough.Maple could not calculate the integral for the case in which we have the log, but our rough approximations make us think that the figures are compatible enough and our rough approximations gave us figures that were similar enough for the case in which the exponent was 
 when the results attained with Maple are considered.Our best choice could be 
 and s because the algebraic form is nicer, the calculations are easier (Maple could calculate for 
 for instance), and the match is instinctive.We started thinking of a new shape because of the discrepancies found in terms of the tables involving both the negative and the non-negative functions for these shapes however.If we consider basic values, such as 
, 
, 
, and 
, the results of our calculations show us that we should adopt  s  and log as exponents instead.We worry about the distance encountered between the limiting line for S-convexity and the line for convexity, as seen in [4].When we write  as exponent, we should have 
 and this distance should be the same as the distance between 
 and 1. This distance is approximately 0.41. We can also call it 
 now, thanks to [2]. When we have exponent 
, we should have 
, and the distance should be the same as the distance between 
 and 1, and that is 0.5.When we write the log as exponent, and consider the negative function, we get 0.41 once more.In this case, the ideal couple is s  and log or the New Negative from [4]. However, we must still analyze the case New Positive in full.