By George A. Anastassiou

ISBN-10: 9814317624

ISBN-13: 9789814317627

This monograph provides univariate and multivariate classical analyses of complicated inequalities. This treatise is a end result of the author's final 13 years of study paintings. The chapters are self-contained and a number of other complicated classes will be taught out of this booklet. broad history and motivations are given in each one bankruptcy with a entire checklist of references given on the finish. the themes lined are wide-ranging and numerous. contemporary advances on Ostrowski style inequalities, Opial variety inequalities, Poincare and Sobolev style inequalities, and Hardy-Opial style inequalities are tested. Works on usual and distributional Taylor formulae with estimates for his or her remainders and purposes in addition to Chebyshev-Gruss, Gruss and comparability of capacity inequalities are studied. the consequences awarded are ordinarily optimum, that's the inequalities are sharp and attained. functions in lots of components of natural and utilized arithmetic, equivalent to mathematical research, likelihood, usual and partial differential equations, numerical research, details concept, etc., are explored intimately, as such this monograph is appropriate for researchers and graduate scholars. it is going to be an invaluable educating fabric at seminars in addition to a useful reference resource in all technology libraries.

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This monograph provides univariate and multivariate classical analyses of complicated inequalities. This treatise is a end result of the author's final 13 years of analysis paintings. The chapters are self-contained and a number of other complex classes may be taught out of this booklet. huge heritage and motivations are given in every one bankruptcy with a accomplished checklist of references given on the finish.

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N. Also we have that n f |Em (x1 , x2 , . . , xn )| ≤ j=1 |Bj |. 47) Also by denoting ∆ := f (x1 , . . , xn ) − 1 n n i=1 (bi − ai ) [ai ,bi ] f (s1 , . . 48) i=1 we get n |∆| ≤ j=1 (|Aj | + |Bj |). 49) Later we will estimate Aj , Bj . 17. Here m ∈ N, j = 1, . . We suppose n 1) f : i=1 2) ∂ f ∂xj [ai , bi ] → R is continuous. are existing real valued functions for all j = 1, . . , n; 3) For each j = 1, . . , n we assume that continuous real valued function. = 1, . . , m − 2. ∂ m−1 f (x1 , .

X1 − a 1 b1 − a 1 Bm a1 ∗ − Bm x1 − s 1 b1 − a 1 ∂mf (s1 , x2 , x3 )ds1 . 17) are zero. Proof. 8 we have f (x1 , x2 , x3 ) = b1 1 b1 − a 1 f (s1 , x2 , x3 )ds1 + T1 (x1 , x2 , x3 ). 18) a1 Furthermore we find f (s1 , x2 , x3 ) = m−1 + k=1 + 1 b2 − a 2 b2 f (s1 , s2 , x3 )ds2 a2 x2 − a 2 (b2 − a2 )k−1 Bk k! b2 − a 2 (b2 − a2 )m−1 m! 19) and f (s1 , s2 , x3 ) = m−1 + k=1 + 1 b3 − a 3 b3 f (s1 , s2 , s3 )ds3 a3 (b3 − a3 )k−1 x3 − a 3 Bk k! b3 − a 3 (b3 − a3 )m−1 m! b3 Bm a3 x3 − a 3 b3 − a 3 ∂ k−1 f ∂ k−1 f (s , s , b ) − (s1 , s2 , a3 ) 1 2 3 ∂x3k−1 ∂x3k−1 ∗ − Bm x3 − s 3 b3 − a 3 ∂mf (s1 , s2 , s3 )ds3 .

72) 3) When m = 1 we get |Bj | ≤ 1 j−1 i=1 (bi − ai ) ∂f (. . , xj+1 , . . , xn ) ∂xj j 1, [ai ,bi ] 1 + xj − 2 aj + b j 2 . 29. Let → x = (x1 , . . , xθ ) ∈ x21 + · · · + x2θ . Let F : lus of continuity of F by θ i=1 [ai , bi ], θ ∈ N, where → − x := θ i=1 [ai , bi ] → R be continuous. 74) i=1 with → − − x −→ y ≤δ for all δ > 0. 30. 10 we have valid that ∂ k−1 f ∂ k−1 f (s1 , . . , sj−1 , bj , xj+1 , . . , xn ) − (s1 , . . , sj−1 , aj , xj+1 , . . , xn ) k−1 ∂xj ∂xjk−1 j k−1 ∂ f ≤ ω1 k−1 · · · , xj+1 , .

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