Computation, Cryptography, and Network Security 2015
DOI: 10.1007/978-3-319-18275-9_27
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Parameterized Yang–Hilbert-Type Integral Inequalities and Their Operator Expressions

Abstract: Applying methods of Real Analysis and Functional Analysis, we build two weight functions with parameters and provide two kinds of parameterized Yang-Hilbert-type integral inequalities with the best constant factors. Equivalent forms, the reverses, and the operator expressions are also given. In particular, the Hardytype inequalities and Hardy-type operators are studied. Additionally, a number of examples with two kinds of particular kernels are considered.

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Cited by 5 publications
(10 citation statements)
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References 19 publications
(32 reference statements)
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“…previous studies [16][17][18] ); Operator characterizations of Hilbert-type inequalities (cf. Yang 19,20 ) etc. The research of Hilbert-type integral inequalities with hybrid kernels is one of the important contents too.…”
Section: Liumentioning
confidence: 99%
“…previous studies [16][17][18] ); Operator characterizations of Hilbert-type inequalities (cf. Yang 19,20 ) etc. The research of Hilbert-type integral inequalities with hybrid kernels is one of the important contents too.…”
Section: Liumentioning
confidence: 99%
“…where the constant factor φ(σ) is the best possible; for 0 < p < 1, 1 p + 1 q = 1, we obtain the reverse of (1.0.4) (cf. [19]).…”
Section: Introductionmentioning
confidence: 99%
“…Yang [19] studied also the equivalency of (1.0.3) and (1.0.4). In 2017, Hong [21] proved an equivalent condition between (1.0.3) and some parameters.…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, an extension of (4) was given as follows: where the constant factor is the best possible ( cf. [17]). For , (8) reduces to (4).…”
Section: Introductionmentioning
confidence: 99%
“…In 2013, Yang [17] studied the equivalency between (7) and (8). In 2017, Hong [18] studied an equivalent condition between (7) with a few parameters.…”
Section: Introductionmentioning
confidence: 99%