Hermite–Jensen–Mercer Type Inequalities for Caputo Fractional Derivatives

Convexity plays an important role in many areas of mathematics, especially in the study of optimization problems where they are distinguished by a number of convenient properties. Our aim is to introduce a more extended version of convexity. In this paper, we introduced interval-valued generalized η h convex function and proved Hermite–Hadamard-, Jensen-, and Ostrowski-type inequalities in this generalization. The presented results are generalizations of many existing results of literature.

Section: Discussionsupporting

confidence: 77%

“…Remark 7. If we choose h(β) � β, η(x 1 , y 1 ) � x 1 − y 1 and f 1 � f 1 in (67), then we get the classical Ostrowski inequality for convex functions [31].…”

mentioning

confidence: 99%

Some Inequalities Related to Interval-Valued $η_{h}$ -Convex Functions

Chen¹,

Saleem

Zahoor

et al. 2021

“…e importance of convex functions and convex sets cannot be ignored, especially in nonlinear programing [1][2][3][4][5] and optimization theory [6], see, for instance, [7][8][9][10][11][12][13][14]. Generalization in the convexity is always appreciable.…”

Section: Introductionmentioning

confidence: 99%

Strongly Reciprocally p-Convex Functions and Some Inequalities

Saleem

Hussain

et al. 2020

“…e concentration of analytical solution is obtained by the iterative Laplace transform technique, and the concentration is plotted for different input parameters. For more modern fractionalorder mathematical model developments, the reader can refer to [9][10][11][12][13][14][15][16]. e transport equation due to Doulati Ardejani et al [17] for the absorption process is given as…”

Section: Mathematical Modelling Using the Caputo-fabrizio Fractional Derivative Without The Singular Kernelmentioning

confidence: 99%

Application of Green Synthesized Metal Nanoparticles in the Photocatalytic Degradation of Dyes and Its Mathematical Modelling Using the Caputo–Fabrizio Fractional Derivative without the Singular Kernel

Dave

Khan

Purohıt

et al. 2021

Textile dyes are untreated discharge into the environment which results in a significant increase in water pollution levels worldwide. Due to the continuous addition of toxic organic dyes, a necessary strategic model is required for the complete degradation of dyes in textile effluent. This paper considers the possibility of biological synthesis of silver and iron nanoparticles and their use in photocatalytic degradation. The immediate change of silver nitrate solution occurring from colorless to brown is observed after the addition of the aqueous leaf extract, indicating the successive reduction of Ag+ ions to the Ag nanoparticles. These formed Ag nanoparticles were subjected to examine the photocatalytic activity under the solar radiation for the degradation of methyl orange. Green synthesized Ag nanoparticles were found to successfully degrade methyl orange up to 95% between 70 hours than the initial exposure time. The absorbance of methyl orange was measured at 465 nm. The present paper is focused on fractional mathematical modelling of dye degradation in textile effluents using the Caputo–Fabrizio fractional derivative without the singular kernel. The iterative Laplace transform method is employed to obtain an analytic solution for the absorption transport equation. The obtained experimental results showing significant removal of dyes from textile wastewater are compared using modelling results. The innovative approach is in outstanding agreement with the findings of the experiment. The mathematical modelling for the dye removal process helps to design suitable environmental management studies to reduce the adverse effect caused by toxic wastewater. Model validation has been shown by comparing analytical simulated solutions with experimental results for photocatalytic degradation using silver and iron nanoparticles as eco-friendly and low-cost agents.