Improved Bounds on the Moments of Guessing Cost

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Date

2022

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IEEE

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Abstract

Guessing a random variable with finite or countably infinite support in which each selection leads to a positive cost value has recently been studied within the context of "guessing cost". In those studies, similar to standard guesswork, upper and lower bounds for the rho-th moment of guessing cost are described in terms of the known measure Renyi's entropy. In this study, we non-trivially improve the known bounds using previous techniques along with new notions such as balancing cost. We have demonstrated that the novel lower bound proposed in this work, achieves 5.84%, 18.47% higher values than that of the known lower bound for rho = 1 and rho = 5, respectively. As for the upper bound, the novel expression provides 10.93%, 5.54% lower values than that of the previously presented bounds for rho = 1 and rho = 5, respectively.

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Fields of Science

0508 media and communications, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

Arslan, S.S., and Haytaoglu, E. ( June 2022) Improved Bounds on the Moments of Guessing Cost. 2022 IEEE International Symposium on Information Theory (ISIT), vol. 2022. pp. 3351-3356. https://doi.org/10.1109/isit50566.2022.9834714 ‌

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Q3
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IEEE International Symposium on Information Theory (ISIT) -- JUN 26-JUL 01, 2022 -- Espoo, FINLAND

Volume

2022

Issue

Start Page

3351

End Page

3356
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Scopus : 1

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1

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155

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26

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