Abstract:
Deciding where to begin is a major step. One procedure is to lay out all necessary
preliminary material, introduce the major ideas in their most general setting, prove
the theorems and then specialize to obtain classical results and various applications.
We experience convexity all the times and in many ways. The most prosaic example is
our upright position, which is secured as long as the vertical projection of our center of
gravity lies inside the convex envelope of our feet. Also convexity has a great impact
on our every day life through numerous applications in industry, business, medicine
and art. So do the problems of optimum allocation of resources and equilibrium of non
cooperative games. The theory of convex functions is a part of the general subject of
convexity, since a convex function is one whose epigraph is a convex set. Nonetheless
it is an important theory, which touches almost all branches of mathematics.
In calculus, the mean value theorem states, roughly, that given a section of a smooth
curve, there is a point on that section at which the derivative (slope) of the curve
is equal (parallel) to the ”average” derivative of the section. It is used to prove
theorems that make global conclusions about a function on an interval starting from
local hypotheses about derivatives at points of the interval. This theorem can be
understood concretely by applying it to motion: if a car travels one hundred miles in
one hour, so that its average speed during that time was 100 miles per hour, then at
some time its instantaneous speed must have been exactly 100 miles per hour.
An early version of this theorem was first described by Parameshvara (1370-1460)
from the Kerala school of astronomy and mathematics in his commentaries on Govin-
dasvami and Bhaskara II. The mean value theorem in its modern form was later stated
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by Augustin Louis Cauchy (1789-1857). It is one of the most important results in
differential calculus, as well as one of the most important theorems in mathematical
analysis, and is essential in proving the fundamental theorem of calculus. The mean
value theorem can be used to prove Taylor’s theorem, of which it is a special case.
We use this Mean value theorem and its other generalized version to define new
Cauchy’s means.
In the first chapter some basic notions and results from the theory of means and
convex functions are being introduced along with classical results of convex functions.
In the second chapter we define some further results about logarithmic convexity
of differences of of power means for positive linear functionals as well as some related
results.
In the third chapter we define new means of Cauchy’s type. We prove that this mean
is monotonic. Also we give some applications of this means.
In the fourth chapter we give Cauchy’s means of Boas type for non positive measure.
We show that these Cauchy’s means are monotonic.
In the fifth chapter, we give definition of Cauchy means of Mercer’s type. Also, we
show that these means are monotonic.
In the sixth chapter, we define the generalization of results given by S. Simi ́c, for log-
convexity for differences of mixed symmetric means. We also present related Cauchy’s
means.
In the last chapter we give an improvement and reversion of well known Ky-Fan
inequality. Also we introduce in this chapter Levinson means of Cauchy’s type. We
prove that these means are monotonic.