10.30495/maca.2024.2017279.1093

Some inequalities of the Edmundson-Lah-Ribarič type for 3-convex functions with applications

  1. University of Rijeka, Faculty of Civil Engineering, Radmile Matejčić 3, 51 000 Rijeka, Croatia
  2. Catholic University of Croatia, Ilica 242, 10 000 Zagreb, Croatia
  3. Croatian Academy of Sciences and Arts, 10 000 Zagreb, Croatia

Published in Issue 2024-01-01

How to Cite

Some inequalities of the Edmundson-Lah-Ribarič type for 3-convex functions with applications. (2024). Mathematical Analysis and Its Contemporary Applications, 6(1). https://doi.org/10.30495/maca.2024.2017279.1093

PDF views: 15

Abstract

In this paper we study 3-convex functions, which are characterized by the third order divided differences, and for them we derive a class of inequalities of the Jensen and Edmundson-Lah-Ribarič type involving positive linear functionals that does not require convexity in the classical sense. A great number of theoretic divergences, i.e. measures of distance between two probability distributions, are special cases of Csiszár f-divergence for different choices of the generating function f. In the second part of this paper we apply our main results to the generalized f-divergence functional in order to obtain lower and upper bounds. Examples with Zipf-Mandelbrot law are used to illustrate the results. In addition, obtained results are utilized in constructing some families of exponentially convex functions and Stolarsky-type means.

Keywords

  • Jensen inequality,
  • Edmundson-Lah-Ribarič inequality,
  • 3-convex functions,
  • f-divergence,
  • Zipf-Mandelbrot law,
  • exponential convexity,
  • Stolarsky-type means

References

  1. S. Abramovich, Quasi-arithmetic means and subquadracity, J. Math. Inequal., 9(4) (2015), 1157–1168. 36 MIKIĆ, PEČARIĆ, AND PEČARIĆ
  2. P. R. Beesack and J. E. Pečarić, On the Jessen’s inequality for convex functions, J. Math. Anal. 110(1985), 536–552.
  3. M. Ben Bassat, f-entropies, probability of error, and feature selection, Inf. Contr., 39 (1978), 227–242.
  4. P. S. Bullen, D. S. Mitrinović, and P. M. Vasić, Means and their inequalities, D. Reidel Publishing Co., Dordrecht, Boston, Lancaster and Tokyo, 1987.
  5. C. H. Chen, Statistical pattern recognition, Rochelle Park, NJ: Hayden Book Co., 1973.
  6. C. K. Chow and C. N. Liu, Approximating discrete probability distributions with dependence trees, IEEE Trans. Inf. Theory, 14(3) (1968), 462–467.
  7. I. Csiszár, Information measures: A critical survey, Trans. 7th Prague Conf. on Info. Th. Statist. Decis. Funct., Random Processes and 8th European Meeting of Statist., Volume B, Academia Prague, 1978, pp. 73–86.
  8. I. Csiszár, Information-type measures of difference of probability functions and indirect observations, Studia Sci. Math. Hungar., 2 (1967), 299–318.
  9. L. Egghe and R. Rousseau, Introduction to informetrics: Quantitative methods in library, documentation and information science, Elsevier Science Publishers, New York, 1990.
  10. L. Fry Richardson, Statistics of deadly quarrels, Marcel Dekker, 1960.
  11. D. V. Gokhale and S. Kullback, Information in contingency tables, Pacific Grove, Boxwood Press 1978.
  12. L. Horváth, Weighted form of a recent refinement of the discrete Jensen’s inequality, Math. Inequal. Appl., 17(3), (2014), 947–961.
  13. L. Horváth and J. Pečarić, A refinement of the discrete Jensen’s inequality, Math. Inequal. Appl., 14(4) (2011), 777–791.
  14. E. Isaacson and H. B. Keller, Analysis of numerical methods, Dover Publications Inc., New York, 1966.
  15. S. Ivelić and J. Pečarić, Generalizations of converse Jensen’s inequality and related results, J. Math. Inequal., 5(1) (2011), 43–60.
  16. J. Jakšetić and J. Pečarić, Exponential convexity method, J. Conv. Anal., 20(1) (2013), 181– 197.
  17. R. Jakšic and J. Pečarić, New converses of the Jessen and Lah-Ribarič inequalities II, J. Math. Inequal., 7(4) (2013), 617–645.
  18. R. Jakšić and J. Pečarić, Levinson’s type generalization of the Edmundson-Lah-Ribarič inequality, Mediterr. J. Math., 13(1) (2016), 483–496.
  19. B. Jessen, Bemaerkinger om konvekse funktioner og uligheder imellem middelvaerdier I, Mat. Tidsskrift, B (1931), 17–28.
  20. T. Kailath, The divergence and Bhattacharyya distance measures in signal selection, IEEE Trans. Commun. Technol., 15(1) (1967), 52–60.
  21. M. Krnić, R. Mikić, and J. Pečarić, Strengthened converses of the Jensen and Edmundson-Lah-Ribarič inequalities, Adv. Oper. Theory, 1(1) (2016), 104–122.
  22. K. Krulić Himmelreich, J. Pečarić, D. Pokaz, Inequalities of Hardy and Jensen / New Hardy type inequalities with general kernels, Monographs in inequalities 6, Element, Zagreb, 2013.
  23. J. Liang and G. Shi, Comparison of differences among power means Qr,α (a, b, x)s, J. Math. Inequal., 9(2) (2015), 351–360.
  24. J. Lin and S. K. M. Wong, Approximation of discrete probability distributions based on a new divergence measure, Congur. Numeran., 61 (1988), 75–80. INEQUALITIES OF THE EDMUNDSON-LAH-RIBARIČ TYPE 37
  25. B. Manaris, D. Vaughan, C. S. Wagner, J. Romero, and R. B. Davis, Evolutionary music and the Zipf-Mandelbrot law: Developing fitness functions for pleasant music, Proc. 1st Eur. Workshop Evolution. Music and Art (EvoMUSART2003), 2003, pp. 522–534.
  26. R. Mikić, D̄. Pečarić, and J. Pečarić, Inequalities of the Jensen and Edmundson-Lah-Ribarič type for 3-convex functions with applications, J. Math. Inequal., to appear.
  27. D. Mouillot and A. Lepretre, Introduction of relative abundance distribution (RAD) indices, estimated from the rank-frequency diagrams (RFD), to assess changes in community diversity, Envir. Monitor. Assessment., 63(2) (2000), 279–295.
  28. J. Pečarić, I. Perić, and G. Roquia, Exponentially convex functions generated by Wulbert’s inequality and Stolarsky-type means, Math. Comp. Model., 55, (2012), 1849–1857.
  29. J. E. Pečarić, F. Proschan, and Y. L. Tong, Convex functions, partial orderings and statistical applications, Academic Press Inc., San Diego 1992.
  30. M. Sababheh, Improved Jensen’s inequality, Math. Inequal. Appl., 20(2) (2017), 389–403.
  31. Z. K. Silagadze, Citations and the Zipf–Mandelbrot law Complex Syst., 11 (1997), 487–499.
  32. G. K. Zipf, The psychobiology of language, Cambridge, Houghton-Mifflin, 1935.
  33. G. K. Zipf, Human behavior and the principle of least effort, Reading, Addison-Wesley, 1949.