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.

MML Identifier: CONVFUN1

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]

Contents (PDF format)

  1. Product of Two Real Linear Spaces
  2. Real Linear Space of Real Numbers
  3. Sum of Finite Sequence of Extended Real Numbers
  4. Definition of Convex Function
  5. Relation between notions ``function is convex'' \\ and ``function is convex on set''
  6. CONVEX2:6 in other words
  7. Jensen's Inequality

Acknowledgments

I thank Andrzej Trybulec for teaching me Mizar.

Bibliography

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Received July 17, 2003


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