Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 3s (2024) 118 https://internationalpubls.com Generalized Modulus of Smoothness and 𝑲 βˆ’ π’‡π’–π’π’„π’•π’Šπ’π’π’‚π’. Bushra Kadhum Awaad 1*, Eman Samer Bhaya 2 1Department of Mathematics, College of Education for Pure Sciences, University of Babylon, Babyel, Iraq. 2Department of Mathematics, College of Education for Pure Sciences, University of Babylon, Babyel, Iraq. 2Department of Mathematics, College of Education, Al- Zahraa University for Women, Karbala, Iraq. bushra.k@uokerbala.edu..iq emanbhaya@itnet.uobabylon.edu.iq emanbhaya@alzahraa.edu.iq Article History: Received: 09-04-2024 Revised: 22-05-2024 Accepted: 09-06-2024 Abstract Many articles introduced about direct and inverse theorems interims of ordinary modulus of smoothness andK-functional. Here we shall define a generalized modulus of smoothness andK-functional, then we prove they are equivalent. Keywords: Kβ€”functional, Modulus etc. 1. Introduction Many articles such us[1], [3], [6], [8],[9],[10] introduced approximation theorems interims of the ordinary modulus of smoothness, with ordinary symmetric difference. Here we shall define new symmetric difference, then we use it to obtain anew modulus of smoothness and 𝐾 βˆ’ π‘“π‘’π‘›π‘π‘‘π‘–π‘œπ‘›π‘Žπ‘™, in anew quasi normed spaces, call it 𝐿𝑝,𝛽 . let us define 𝐿𝑝 ,0 < 𝑝 < 1 , an [βˆ’1,1] as the spaces of all measurable functions satisfies : ‖𝑓‖𝑝 = (∫ |𝑓|𝑝1 βˆ’1 ) 1 𝑝 < ∞ . [9] Define 𝐿𝑝,𝛽 , measurable function spaces of functions 𝑓 with domain [βˆ’1,1] . √(1 βˆ’ π‘₯)𝛽 𝑓 ∈ 𝐿𝑃 , It mean ‖𝑓‖𝑝,𝛽 = (∫ (|𝑓(π‘₯)(1 βˆ’ π‘₯) 𝛽 2 )| 𝑝 𝑑π‘₯ 1 βˆ’1 ) 1 𝑝 , = ‖𝑓 (1 βˆ’ π‘₯) 𝛽 2 β€– 𝑝 . Let 𝐸𝑛(𝑓)𝑝,𝛽 , best approximation error of 𝑓 in 𝐿𝑝,𝛽 ,using algebraic < 𝑛 in polynomials of degree 𝐿𝑝,𝛽 , and 𝐸𝑛(𝑓)𝑝,𝛽 = inf π‘π‘›βˆˆπΌπ‘ƒπ‘› ‖𝑓 βˆ’ 𝑝𝑛‖ , [8] Where, ǁℙ𝑛 is 𝑛 βˆ’ 1, degree algebraic polynomials spaces . Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 3s (2024) 119 https://internationalpubls.com Let us define the operator 𝐷π‘₯,𝜈,πœ‡ = (√1 βˆ’ π‘₯) βˆ’πœˆ (1 + π‘₯)βˆ’πœ‡ 𝑑 𝑑π‘₯ (√(1 βˆ’ π‘₯)) 𝜈+1 (√(1 + π‘₯)) πœ‡+1 𝑑 𝑑π‘₯ . [4] Peetre 𝐾 βˆ’ π‘“π‘’π‘›π‘π‘‘π‘–π‘œπ‘›π‘Žπ‘™ on 𝐿𝑝,𝛼 and 𝐼𝑃𝑛is defined by 𝐾(𝑓, 𝛿)𝑝,𝛼 = inf π‘”βˆˆπΌπ‘ƒπ‘› (‖𝑓 βˆ’ 𝑔 ‖𝑝,𝛼 + 𝛿2β€– 𝐷π‘₯,2,2𝑔(π‘₯) β€– 𝑝,𝛼 ), [4]. Let us introduce usual smoothness modulus. αΏΆ1 (𝑓, 𝛿)𝑝,𝛽 = sup |𝑑|≀𝛿 β€–πœπ‘‘ (𝑓) βˆ’ 𝑓‖𝑝,𝛼 . (1) Where, πœπ‘‘ (𝑓) = 1 πœ‹(1βˆ’π‘₯2) cos4𝑑 2 ∫ (2(√1 βˆ’ π‘₯2 cos 𝑑 + π‘₯ sin 𝑑 cos πœ‘ + √1 βˆ’ π‘₯2 (1 βˆ’ cos 𝑑) sin2 πœ‘) 2 βˆ’ πœ‹ 0 1 + (π‘₯ cos 𝑑 βˆ’ √1 βˆ’ π‘₯2 sin 𝑑 cos πœ‘) 2 ) ⬚ 𝑓(π‘₯ cos 𝑑 βˆ’ √1 βˆ’ π‘₯2 sin 𝑑 cos πœ‘) π‘‘πœ‘ . Let 𝑓 ∈ 𝐿𝑝,𝛼, . put 𝑦 = cos 𝑑, 𝑧 = cos πœ‘ , in the πœπ‘‘ (𝑓), let πœπ‘¦ (𝑓). Then πœπ‘‘ (𝑓) = 4 πœ‹(1βˆ’π‘₯2)(1+𝑦)2 ∫ 𝐡𝑦(π‘₯, 𝑧, 𝑅) 1 βˆ’1 𝑓(𝑅) 𝑑𝑧 √1βˆ’π‘§2 , [1]. where , 𝑅 = π‘₯𝑦 βˆ’ π‘§βˆš1 βˆ’ π‘₯2 √1 βˆ’ 𝑦2, 𝐡𝑦(π‘₯, 𝑧, 𝑅) = 2 (√1 βˆ’ π‘₯2 𝑦 + 𝑧π‘₯√1 βˆ’ 𝑦2 + √1 βˆ’ π‘₯2 (1 βˆ’ 𝑦)(1 βˆ’ 𝑧2)) 2 βˆ’ (1 βˆ’ 𝑅2). 2. Auxiliary Results To prove our main theorem we need some results, that we make use of them in our proof. Let us begin with Lemma .2.1. For 𝑧 = cos πœ‘ and 𝑅 = π‘₯ cos 𝑑 βˆ’ π‘§βˆš1 βˆ’ π‘₯2 sin 𝑑, 𝑓 ∈ 𝐿𝑝,𝛽[βˆ’1,1], we get (2.1) β€– 1 1 βˆ’ π‘₯2 ∫ (1 βˆ’ 𝑅2)|𝑓(𝑅)| 𝑑𝑧 √1 βˆ’ 𝑧2 1 βˆ’1 β€– 𝑝,𝛽 ≀ ∁ |𝑓| Proof Using simple calculating of integrals we obtain the result in (2.1). Lemma.2.2. [1] |𝐡𝑦(π‘₯, 𝑧, 𝑅)| ≀ 19(1 βˆ’ 𝑅2) Where, 𝑅 = π‘₯ cos 𝑑 βˆ’ π‘§βˆš1 βˆ’ π‘₯2 sin 𝑑, 𝑧 = cos πœ‘ and π‘₯ = cos πœƒ1. Lemma. 2.3. Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 3s (2024) 120 https://internationalpubls.com If 𝑓 ∈ 𝐿𝑝,𝛽[βˆ’1,1], we get β€– πœπ‘‘ (𝑓)‖𝑝,𝛽 ≀ 19∁(𝑝) πœ‹ cos4 𝑑 2 ‖𝑓‖𝑝,𝛽 , Where 𝑐 > 0. Proof. β€– πœπ‘‘ (𝑓)‖𝑝,𝛽 = β€– 1 πœ‹ cos4𝑑 2 1 1βˆ’π‘₯2 ∫ 𝐡cos 𝑑(π‘₯, 𝑧, 𝑅) 1 βˆ’1 𝑓(𝑅) 𝑑𝑧 √1βˆ’π‘§2 β€– 𝑝,𝛽 β€– πœπ‘‘ (𝑓)‖𝑝,𝛽 = 1 πœ‹ cos4 𝑑 2 β€– 1 1 βˆ’ π‘₯2 ∫ 𝐡cos 𝑑(π‘₯, 𝑧, 𝑅) 1 βˆ’1 𝑓(𝑅) 𝑑𝑧 √1 βˆ’ 𝑧2 β€– 𝑝,𝛽 β€– πœπ‘‘ (𝑓)‖𝑝,𝛽 = 1 πœ‹ cos4𝑑 2 (∫ | 1 1βˆ’π‘₯2 ∫ ∫ 𝐡cos 𝑑(π‘₯, 𝑧, 𝑅) 1 βˆ’1 𝑓(𝑅) 𝑑𝑧 √1βˆ’π‘§2 1 βˆ’1 | 1 βˆ’1 𝑝 (1 βˆ’ π‘₯) 𝛽 2 𝑑π‘₯) 1 𝑝 . β€– πœπ‘‘ (𝑓)‖𝑝,𝛽 ≀ 1 πœ‹ cos4𝑑 2 (∫ ( 1 1βˆ’π‘₯2 ∫ |𝐡cos 𝑑(π‘₯, 𝑧, 𝑅)||𝑓(𝑅)| 1 βˆ’1 𝑑𝑧 √1βˆ’π‘§2 ) 𝑝 (1 βˆ’ π‘₯) 𝛽 2 1 βˆ’1 𝑑π‘₯) 1 𝑝 . Using Lemma (2.2), we get β€– πœπ‘‘ (𝑓)‖𝑝,𝛽 ≀ 1 πœ‹ cos4𝑑 2 (∫ ( 1 1βˆ’π‘₯2 ∫ 19(1 βˆ’ 𝑅2) 1 βˆ’1 |𝑓(𝑅)| 𝑑𝑧 √1βˆ’π‘§2 ) 𝑝1 βˆ’1 (1 βˆ’ π‘₯) 𝛽 2 𝑑π‘₯) 1 𝑝 . Using Lemma (2.1) ,to obtain β€– πœπ‘‘ (𝑓)‖𝑝,𝛽 ≀ 19∁(𝑝) πœ‹ cos4 𝑑 2 ‖𝑓‖𝑝,𝛽 . Lemma.2.4. [2]. If 𝑦 ∈ (βˆ’1,1), and π‘₯ ∈ (βˆ’1,1) , for almost every then πœπ‘¦ (𝐷π‘₯,2,2𝑓) = 𝐷π‘₯,2,2πœπ‘¦(𝑓). Lemma.2.5.[3]. let 𝑓 ˊ be an absolutely continuous with domain [π‘Ž, 𝑏] βŠ‚ (βˆ’1,1) ,with 𝐷π‘₯,2,2𝑓 ∈ 𝐿1,2. , So almost every π‘₯ ∈ (βˆ’1,1) and every 𝑦 ∈ (βˆ’1,1) πœπ‘¦ (𝑓) βˆ’ 𝑓 = ∫ (1 βˆ’ 𝜈)βˆ’1(1 βˆ’ 𝜈)βˆ’5 ∫ (1 + 𝑒)4𝜈 1 𝑦 1 πœπ‘’(𝐷π‘₯,2,2𝑓, π‘₯)π‘‘π‘’π‘‘πœˆ . πœπ‘¦ (𝑓) βˆ’ 𝜏0 (𝑓) = βˆ’ ∫ (1 βˆ’ 𝜈)βˆ’1(1 βˆ’ 𝜈)βˆ’5 ∫ (1 + 𝑒)4βˆ’1 𝜈 𝑦 1 πœπ‘’(𝐷π‘₯,2,2𝑓, π‘₯)π‘‘π‘’π‘‘πœˆ . Lemma.2.6.[3]. let 𝑓 ˊ be absolutely continuous with domain [π‘Ž, 𝑏] βŠ‚ (βˆ’1,1) ,with 𝐷π‘₯,2,2𝑓(π‘₯) ∈ 𝐿1,2. So almost every π‘₯ ∈ (βˆ’1,1) and every 𝑑 ∈ (βˆ’πœ‹, πœ‹). Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 3s (2024) 121 https://internationalpubls.com πœπ‘‘ Μ­ (𝑓) βˆ’ 𝑓 = ∫ (sin 𝜈 2 ) βˆ’1 (cos 𝜈 2 ) βˆ’9 ∫ πœπ‘’(𝐷π‘₯,2,2𝑓, π‘₯) sin 𝑒 2 𝜈 0 𝑑 0 (cos 𝑒 2 ) 9 π‘‘π‘’π‘‘πœˆ . πœπ‘‘ (𝑓) βˆ’ πœπœ‹ 2 (𝑓) = βˆ’ ∫ (sin 𝜈 2 ) βˆ’1 (cos 𝜈 2 ) βˆ’9 ∫ πœπ‘’(𝐷π‘₯,2,2𝑓, π‘₯) πœ‹ 𝜈 𝑑 πœ‹ 2 sin 𝑒 2 (cos 𝑒 2 ) 9 π‘‘π‘’π‘‘πœˆ . Lemma.2.7. If 𝑓 ∈ 𝐿𝑝,𝛽 , then 𝐸𝑛(𝑓)𝑝,𝛽 ≀ ∁(𝑝) 1 𝑛2 ‖𝐷(𝑓)‖𝑝,𝛽 . Proof. By using 𝐸𝑛(𝑓)𝑝,𝛽 ≀ ‖𝑓 βˆ’ 𝑄‖𝑝,𝛽 , where 𝑄 is algebraic polynomial of degree less than 𝑛 βˆ’ 1, and 𝑄(π‘₯) = 1 π›Ύπ‘š ∫ 𝑇2;cos 𝑑(𝑓, π‘₯) πœ‹ 0 ( sin π‘šπ‘‘ 2 sin 𝑑 2 ) 2π‘ž+4 sin5 𝑑𝑑𝑑 where π›Ύπ‘š = ∫ ( sin π‘šπ‘‘ 2 sin 𝑑 2 ) 2π‘ž+4 sin5 𝑑𝑑𝑑 πœ‹ 0 , Then 𝐸𝑛(𝑓)𝑝,𝛽 ≀ ‖𝑓 βˆ’ 1 π›Ύπ‘š ∫ 𝑇2;cos 𝑑(𝑓, π‘₯) πœ‹ 0 ( sin π‘šπ‘‘ 2 sin 𝑑 2 ) 2π‘ž+4 sin5 𝑑𝑑𝑑‖ 𝑝,𝛽 . = β€– 1 π›Ύπ‘š ∫ ( sin π‘šπ‘‘ 2 sin 𝑑 2 ) 2π‘ž+4 sin5 𝑑𝑑𝑑 πœ‹ 0 𝑓(π‘₯) βˆ’ 1 π›Ύπ‘š ∫ 𝑇(𝑓) ( sin π‘šπ‘‘ 2 sin 𝑑 2 ) 2π‘ž+4 sin5 𝑑𝑑𝑑 πœ‹ 0 β€– 𝑝,𝛽 𝐸𝑛(𝑓)𝑝,𝛽 ≀ ∁(𝑝)‖𝑓 βˆ’ 𝑇‖𝑝,𝛽. Using the β€–πœπ‘‘ (𝑔) βˆ’ 𝑔 ‖𝑝,𝛽 ≀ ∁(𝑝) 1 cos4𝑑 2 𝑑2 ‖𝐷π‘₯,2,2𝑔 β€– 𝑝,𝛽 ,[2]. To obtain 𝐸𝑛(𝑓)𝑝,𝛽 ≀ ∁(𝑝) 1 𝑛2 ‖𝐷(𝑓)‖𝑝,𝛽 . 3. The Main Result After we define our new modulus of smoothness, and π‘˜ βˆ’ π‘“π‘’π‘›π‘π‘‘π‘–π‘œπ‘›π‘Žπ‘™. we shall relate then to others. That is we shall introduce the theorem: Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 3s (2024) 122 https://internationalpubls.com Theorem.3.1. For 𝑓 ∈ 𝐿𝑝,𝛽 ,0 < 𝑝 < 1 , we have ∁1(𝑝) 𝐾(𝑓, 𝛿)𝑝,𝛽 ≀ αΏΆ(𝑓, 𝛿)𝑝,𝛽 ≀ ∁2(𝑝) 1 cos4𝛿 2 𝐾(𝑓, 𝛿)𝑝,𝛽 . Where, ∁1(𝑝) and ∁2(𝑝) are positive constants depending on p only. Proof . Let ℙ𝑛be the set of 𝑛 th degree algebraic polynomials we shall prove (3.1) β€–πœπ‘‘ (𝑔) βˆ’ 𝑔‖𝑝,𝛽 ≀ ∁(𝑝) 1 cos4 𝑑 2 𝑑2 ‖𝐷π‘₯,2,2𝑔‖ 𝑝,𝛽 , Where, ∁(𝑝) is constant depend on p only. If 0 < 𝑑 ≀ πœ‹ 2 , then lemma.2.6.implies 𝐼1 = β€–πœπ‘‘ (𝑔) βˆ’ 𝑔‖𝑝,𝛽. = β€–βˆ« (sin 𝜈 2 ) βˆ’1 (cos 𝜈 2 ) βˆ’9 ∫ πœπ‘’(𝐷π‘₯,2,2𝑔, π‘₯) sin 𝑒 2 𝜈 0 𝑑 0 (cos 𝑒 2 ) 9 π‘‘π‘’π‘‘πœˆβ€– 𝑝,𝛽 . Applying lemma .2.3 [β€– πœπ‘‘ (𝑓)‖𝑝,𝛽 ≀ 19∁(𝑝) πœ‹ cos4𝑑 2 ‖𝑓‖𝑝,𝛽] , we get 𝐼1 ≀ ∫ (sin 𝜈 2 ) βˆ’1 (cos 𝜈 2 ) βˆ’9 ∫ πœπ‘’(𝐷π‘₯,2,2𝑔, ) sin 𝑒 2 𝜈 0 𝑑 0 (cos 𝑒 2 ) 9 π‘‘π‘’π‘‘πœˆ. 𝐼1 ≀ ∁(𝑝)‖𝐷π‘₯,2,2𝑔‖ 𝑝,𝛽 ∫ (sin 𝜈 2 ) βˆ’1 (cos 𝜈 2 ) βˆ’9 ∫ sin 𝑒 2 𝜈 0 𝑑 0 (cos 𝑒 2 ) 5 π‘‘π‘’π‘‘πœˆ. The inequality ∫ (sin 𝜈 2 ) βˆ’1 (cos 𝜈 2 ) βˆ’9 ∫ sin 𝑒 2 𝜈 0 𝑑 0 (cos 𝑒 2 ) 5 π‘‘π‘’π‘‘πœˆ ≀ ∁(𝑝)𝑑2. For 0 < 𝑑 ≀ πœ‹ 2 , we obtain 𝐼1 ≀ ∁(𝑝)𝑑2‖𝐷π‘₯,2,2𝑔‖ 𝑝,𝛽 ≀ ∁(𝑝) 1 cos4𝑑 2 𝑑2 ‖𝐷π‘₯,2,2𝑔‖ 𝑝,𝛽 . If πœ‹ 2 ≀ 𝑑 < πœ‹, so by Lemma (2.6). [πœπ‘‘ (𝑓) βˆ’ πœπœ‹ 2 (𝑓) = βˆ’ ∫ (sin 𝜈 2 ) βˆ’1 (cos 𝜈 2 ) βˆ’9 ∫ πœπ‘’(𝐷π‘₯,2,2𝑓) πœ‹ 𝜈 𝑑 πœ‹ 2 sin 𝑒 2 (cos 𝑒 2 ) 9 π‘‘π‘’π‘‘πœˆ. ]We get 𝐼2 = β€–πœπ‘‘ (𝑓) βˆ’ πœπœ‹ 2 (𝑓)β€– 𝑝,𝛽 = β€–βˆ« (sin 𝜈 2 ) βˆ’1 (cos 𝜈 2 ) βˆ’9 ∫ πœπ‘’(𝐷π‘₯,2,2𝑔, π‘₯) πœ‹ 𝜈 𝑑 πœ‹ 2 sin 𝑒 2 (cos 𝑒 2 ) 9 π‘‘π‘’π‘‘πœˆβ€– 𝑝,𝛽 . Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 3s (2024) 123 https://internationalpubls.com Applying Lemma. 2.3 [β€– πœπ‘‘ (𝑓)‖𝑝,𝛽 ≀ 19∁(𝑝) πœ‹ cos4𝑑 2 ‖𝑓‖𝑝,𝛽] , we get 𝐼2 ≀ ∁(𝑝)‖𝐷π‘₯,2,2𝑔‖ 𝑝,𝛽 ∫ (sin 𝜈 2 ) βˆ’1 (cos 𝜈 2 ) βˆ’9 ∫ sin 𝑒 2 πœ‹ 𝜈 𝑑 πœ‹ 2 (cos 𝑒 2 ) 5 π‘‘π‘’π‘‘πœˆ. Assume πœ‹ 2 ≀ 𝑑 < πœ‹, so ∫ (sin 𝜈 2 ) βˆ’1 (cos 𝜈 2 ) βˆ’9 ∫ sin 𝑒 2 πœ‹ 𝜈 𝑑 πœ‹ 2 (cos 𝑒 2 ) 5 π‘‘π‘’π‘‘πœˆ ≀ ∁(𝑝) 1 cos4 𝑑 2 , It the follows that (3.2) 𝐼2 ≀ ∁(𝑝) 1 cos4𝑑 2 ‖𝐷π‘₯,2,2𝑔‖ 𝑝,𝛽 ≀ ∁(𝑝) 1 cos4𝑑 2 𝑑2‖𝐷π‘₯,2,2𝑔‖ 𝑝,𝛽 . Since β€–πœπ‘‘ (𝑔) βˆ’ 𝑔‖𝑝,𝛽 ≀ β€–πœπ‘‘ (𝑔) βˆ’ πœπœ‹ 2 (𝑔)β€– 𝑝,𝛽 + β€–πœπœ‹ 2 (𝑔) βˆ’ 𝑔‖ 𝑝,𝛽 Using (3.2)and (3.1)we obtain, for 0< 𝑑 ≀ πœ‹ 2 , that β€–πœπ‘‘ (𝑔) βˆ’ 𝑔‖𝑝,𝛽 ≀ ∁(𝑝) 1 cos4 𝑑 2 𝑑2 ‖𝐷π‘₯,2,2𝑔‖ 𝑝,𝛽 . For πœ‹ 2 < 𝑑 ≀ πœ‹, we proved inequality (3.1) for 0 < 𝑑 ≀ πœ‹. 𝜏cos 𝑑(𝑔) = 𝜏cos βˆ’π‘‘(𝑔, ), Let 𝑓 ∈ 𝐿𝑝,𝛽 and 0 ≀ |𝑑| ≀ 𝛿 < πœ‹. so for any 𝑔 ∈ 𝐿𝑝,𝛽 . Using Lemma 2.3 we get β€–πœπ‘‘ (𝑓) βˆ’ 𝑓‖𝑝,𝛽 ≀ ∁(𝑝)(β€–πœπ‘‘ (𝑓 βˆ’ 𝑔, π‘₯)‖𝑝,𝛽 + β€–πœπ‘‘ (𝑔) βˆ’ 𝑔‖𝑝,𝛽 + ‖𝑔 βˆ’ 𝑓‖𝑝,𝛽). β€–πœπ‘‘ (𝑓) βˆ’ 𝑓‖𝑝,𝛽 ≀ ∁(𝑝) 1 cos4𝑑 2 ‖𝑓 βˆ’ 𝑔‖𝑝,𝛽 + β€–πœπ‘‘(𝑔) βˆ’ 𝑔‖𝑝,𝛽. By using(3.1), to get β€–πœπ‘‘ (𝑓) βˆ’ 𝑓‖𝑝,𝛽 ≀ ∁(𝑝) 1 cos4 𝑑 2 ‖𝑓 βˆ’ 𝑔‖𝑝,𝛽 + 𝑑2‖𝐷π‘₯,2,2𝑔‖ 𝑝,𝛽 . To prove the second inequality, assume function 𝑔𝛿 = 1 𝒦(𝛿) ∫ (sin 𝜈 2 ) βˆ’1 (cos 𝜈 2 ) βˆ’9 ∫ πœπ‘’(𝑓, π‘₯) sin 𝑒 2 𝜈 0 𝛿 0 (cos 𝑒 2 ) 9 π‘‘π‘’π‘‘πœˆ, Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 3s (2024) 124 https://internationalpubls.com Where 𝒦(𝛿) = ∫ (sin 𝜈 2 ) βˆ’1 (cos 𝜈 2 ) βˆ’9 ∫ πœπ‘’(𝑓) sin 𝑒 2 𝜈 0 𝛿 0 (cos 𝑒 2 ) 9 π‘‘π‘’π‘‘πœˆ. Let 0 < 𝛿 < πœ‹ 2 , then (3.3) ∁(𝑝)𝛿2 ≀ 𝒦(𝛿) ≀ ∁(𝑝)𝛿2. Applying Lemma.2.3, to get ‖𝑔𝛿‖𝑝,𝛽 ≀ 1 𝒦(𝛿) ∫ (sin 𝜈 2 ) βˆ’1 (cos 𝜈 2 ) βˆ’9 ∫ β€–πœπ‘’(𝑓)‖𝑝,𝛽 sin 𝑒 2 𝜈 0 𝛿 0 (cos 𝑒 2 ) 9 π‘‘π‘’π‘‘πœˆ ≀ ∁(𝑝) 1 cos4𝛿 2 ‖𝑓‖𝑝,𝛽 . That is 𝑔𝛿 ∈ 𝐿𝑝,𝛽 . Put 𝑔 = βˆ’ ∫ (1 βˆ’ 𝑦2)βˆ’3π‘₯ 0 ∫ (1 βˆ’ 𝑧2)21 𝑦 (𝑓(𝑧) βˆ’ π‘š1 π‘š2 ) 𝑑𝑧𝑑𝑦, Where π‘š1 = ∫ (1 βˆ’ 𝑧2)2𝑓(𝑧)𝑑𝑧 1 βˆ’1 , π‘š2 = ∫ (1 βˆ’ 𝑧2)21 βˆ’1 𝑑𝑧. 𝐷π‘₯,2,2𝑔(π‘₯) = 𝑓 βˆ’ π‘š1 π‘š2 , 𝐷π‘₯,2,2𝑔(π‘₯) = (√1 βˆ’ π‘₯) βˆ’2 (1 + π‘₯)βˆ’2 𝑑𝑔 𝑑π‘₯ (√1 βˆ’ π‘₯) 3 (√1 + π‘₯) 3 𝑑𝑔 𝑑π‘₯ , We have 𝑔𝛿 = 1 𝒦(𝛿) ∫ (sin 𝜈 2 ) βˆ’1 (cos 𝜈 2 ) βˆ’9 ∫ πœπ‘’(𝐷π‘₯,2,2𝑔, π‘₯) sin 𝑒 2 𝜈 0 𝛿 0 (cos 𝑒 2 ) 9 π‘‘π‘’π‘‘πœˆ + π‘š1 π‘š2 . Using Lemma.2.6.we get (3.4) 𝑔𝛿 = 1 𝒦(𝛿) (πœπ›Ώ(𝑔) βˆ’ 𝑔) + π‘š1 π‘š2 . Applying the operator 𝐷π‘₯,2,2𝑔 for (3.4) and Lemm2.4, (πœπ‘¦(𝐷π‘₯,2,2𝑓, ) = 𝐷π‘₯,2,2πœπ‘¦(𝑓). ), we get 𝐷π‘₯,2,2𝑔𝛿(π‘₯), 𝑔𝛿(π‘₯) = 1 𝒦(𝛿) (𝐷π‘₯,2,2𝑔(πœπ›Ώ) βˆ’ 𝐷π‘₯,2,2𝑔(π‘₯)) + π‘š1 π‘š2 . 𝐷π‘₯,2,2𝑔𝛿(π‘₯) = 1 𝒦(𝛿) (πœπ›Ώ(𝐷π‘₯,2,2𝑔, π‘₯) βˆ’ 𝑓) βˆ’ π‘š1 π‘š2 + π‘š1 π‘š2 . (3.5) 𝐷π‘₯,2,2𝑔𝛿(π‘₯) = 1 𝒦(𝛿) (πœπ›Ώ(𝑓) βˆ’ 𝑓). Therefore, by Lemmas. 2.3. and 2.4 ,also 𝑔𝛿 ∈ 𝐿𝑝,𝛽. Then using (3.5) equality and inequality (3.3) , we get Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 3s (2024) 125 https://internationalpubls.com (3.6) ‖𝐷π‘₯,2,2𝑔𝛿 (π‘₯)β€– 𝑝,𝛽 ≀ ∁(𝑝) 1 𝛿2 β€–πœπ›Ώ(𝑓) βˆ’ 𝑓‖𝑝,𝛽 . Then using(3.6), to get (3.7) ‖𝐷π‘₯,2,2𝑔𝛿(π‘₯)β€– 𝑝,𝛽 ≀ ∁(𝑝) 1 𝛿2 αΏΆ(𝑓, 𝛿)𝑝,𝛽. And (3.8) ‖𝑓 βˆ’ 𝑔𝛿‖𝑝,𝛽 ≀ 1 𝒦(𝛿) ∫ (sin 𝜈 2 ) βˆ’1 (cos 𝜈 2 ) βˆ’9 βˆ«β€–π‘“ βˆ’ πœπ‘’(𝑓)‖𝑝,𝛽 sin 𝑒 2 𝜈 0 𝛿 0 (cos 𝑒 2 ) 9 π‘‘π‘’π‘‘πœˆ ≀ αΏΆ(𝑓, 𝛿)𝑝,𝛽 . For 0 < 𝛿 ≀ πœ‹ 2 , we have proved that 𝐼(𝛿) = ‖𝑓 βˆ’ 𝑔𝛿‖𝑝,𝛽 + 𝛿2‖𝐷π‘₯,2,2𝑔𝛿(π‘₯)β€– 𝑝,𝛽 ≀ ∁(𝑝)αΏΆ(𝑓, 𝛿)𝑝,𝛽 . For πœ‹ 2 < 𝛿 ≀ πœ‹ , we get 𝛿2 < πœ‹2. 1 , and, 1 < πœ‹ 2 , 𝐾(𝑓, 𝛿)𝑝,𝛽 ≀ πœ‹2 (‖𝑓 βˆ’ 𝑔1‖𝑝,𝛽 + 12‖𝐷π‘₯,2,2𝑔1(π‘₯)β€– 𝑝,𝛽 ) Using (3.7) π‘Žπ‘›π‘‘(3.8),to obtain 𝐾(𝑓, 𝛿)𝑝,𝛽 ≀ ∁(𝑝) αΏΆ(𝑓, 1)𝑝,𝛽 ≀ αΏΆ(𝑓, 1)𝑝,𝛽 . Conclusions K functional and modulus of smoothness are equivalent on weighted spaces. References. [1] M.K.Potapov and F.M. 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