Concept Paper
Version 10
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Defining the Most Generalized, Natural Extension of the Expected Value on Measurable Functions
Version 1
: Received: 21 February 2023 / Approved: 22 February 2023 / Online: 22 February 2023 (02:06:52 CET)
Version 2 : Received: 23 February 2023 / Approved: 23 February 2023 / Online: 23 February 2023 (03:45:21 CET)
Version 3 : Received: 28 February 2023 / Approved: 28 February 2023 / Online: 28 February 2023 (04:56:00 CET)
Version 4 : Received: 1 March 2023 / Approved: 1 March 2023 / Online: 1 March 2023 (07:17:23 CET)
Version 5 : Received: 9 March 2023 / Approved: 9 March 2023 / Online: 9 March 2023 (06:42:54 CET)
Version 6 : Received: 11 March 2023 / Approved: 14 March 2023 / Online: 14 March 2023 (01:38:37 CET)
Version 7 : Received: 17 March 2023 / Approved: 17 March 2023 / Online: 17 March 2023 (04:04:07 CET)
Version 8 : Received: 30 March 2023 / Approved: 30 March 2023 / Online: 30 March 2023 (02:46:43 CEST)
Version 9 : Received: 4 April 2023 / Approved: 6 April 2023 / Online: 6 April 2023 (10:04:39 CEST)
Version 10 : Received: 6 April 2023 / Approved: 7 April 2023 / Online: 7 April 2023 (05:16:10 CEST)
Version 11 : Received: 25 April 2023 / Approved: 26 April 2023 / Online: 26 April 2023 (03:35:26 CEST)
Version 2 : Received: 23 February 2023 / Approved: 23 February 2023 / Online: 23 February 2023 (03:45:21 CET)
Version 3 : Received: 28 February 2023 / Approved: 28 February 2023 / Online: 28 February 2023 (04:56:00 CET)
Version 4 : Received: 1 March 2023 / Approved: 1 March 2023 / Online: 1 March 2023 (07:17:23 CET)
Version 5 : Received: 9 March 2023 / Approved: 9 March 2023 / Online: 9 March 2023 (06:42:54 CET)
Version 6 : Received: 11 March 2023 / Approved: 14 March 2023 / Online: 14 March 2023 (01:38:37 CET)
Version 7 : Received: 17 March 2023 / Approved: 17 March 2023 / Online: 17 March 2023 (04:04:07 CET)
Version 8 : Received: 30 March 2023 / Approved: 30 March 2023 / Online: 30 March 2023 (02:46:43 CEST)
Version 9 : Received: 4 April 2023 / Approved: 6 April 2023 / Online: 6 April 2023 (10:04:39 CEST)
Version 10 : Received: 6 April 2023 / Approved: 7 April 2023 / Online: 7 April 2023 (05:16:10 CEST)
Version 11 : Received: 25 April 2023 / Approved: 26 April 2023 / Online: 26 April 2023 (03:35:26 CEST)
How to cite: Krishnan, B. Defining the Most Generalized, Natural Extension of the Expected Value on Measurable Functions. Preprints 2023, 2023020367. https://doi.org/10.20944/preprints202302.0367.v10 Krishnan, B. Defining the Most Generalized, Natural Extension of the Expected Value on Measurable Functions. Preprints 2023, 2023020367. https://doi.org/10.20944/preprints202302.0367.v10
Abstract
In this paper, we will extend the expected value of the function w.r.t the uniform probability measure on sets measurable in the Caratheodory sense to be finite for a larger class of functions, since the set of all measurable functions with infinite or undefined expected values forms a prevalent subset of the set of all measurable functions, which means "almost all" measurable functions have infinite or undefined expected values. Before we define the specific problem in section 2, we will outline some preliminary definitions. We'll then define the specific problem (along with a partial solution in section 3) to visualize the complete solution. Along the way, we will ask a series of questions to clarify our understanding of the paper.
Keywords
Prevalence; Expected Value; Uniform Measure; Measure theory; Uniform Cover; Entropy; Sample; Linear; Superlinear; Choice Function; Bernard's Paradox; Pseudo-random
Subject
Computer Science and Mathematics, Probability and Statistics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Commenter: Bharath Krishnan
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