Journal of Formalized Mathematics
Volume 15, 2003
University of Bialystok
Copyright (c) 2003
Association of Mizar Users
Definition of Convex Function and Jensen's Inequality
-
Grigory E. Ivanov
-
Moscow Institute for Physics and Technology
Summary.
-
Convexity of a function in a real linear space is
defined as convexity of its epigraph according to
``Convex analysis'' by R. Tyrrell Rockafellar.
The epigraph of a function is a subset of the product
of the function's domain space and the space of real
numbers. Therefore the product of two real linear spaces
should be defined. The values of the functions under
consideration are extended real numbers. We define
the sum of a finite sequence of extended real numbers and
get some properties of the sum. The relation between
notions ``function is convex'' and ``function is convex on
set'' (see RFUNCT\_3:def 13) is established. We obtain
another version of the criterion for a set to be convex
(see CONVEX2:6 to compare) that may be more suitable in
some cases. Finally we prove Jensen's inequality
(both strict and not strict) as criteria for functions to
be convex.
The terminology and notation used in this paper have been
introduced in the following articles
[24]
[28]
[25]
[8]
[17]
[9]
[3]
[26]
[14]
[4]
[29]
[11]
[6]
[7]
[18]
[23]
[21]
[15]
[5]
[10]
[20]
[16]
[2]
[12]
[27]
[13]
[1]
[19]
[22]
-
Product of Two Real Linear Spaces
-
Real Linear Space of Real Numbers
-
Sum of Finite Sequence of Extended Real Numbers
-
Definition of Convex Function
-
Relation between notions ``function is convex'' \\
and ``function is convex on set''
-
CONVEX2:6 in other words
-
Jensen's Inequality
Acknowledgments
I thank Andrzej Trybulec for teaching me Mizar.
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Received July 17, 2003
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