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Some new inequalities and numerical results of bivariate Bernstein-type operator including Bézier basis and its GBS operator

  • *Corresponding author: Esma Yıldız Özkan

    *Corresponding author: Esma Yıldız Özkan 
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  • We investigate some new inequalities by estimating the rate of convergence by means of the complete modulus of continuity and a class of Lipschitz functions for the bivariate Bernstein-type operator including Bézier basis and present an example including numerical results comparing its rate of convergence. Moreover, we introduce its GBS (Generalized Boolean Sum) operator and obtain its rate of convergence with the help of the mixed modulus of continuity and Lipschitz class of Bögel continuous functions with exemplifying numerical results. Our research will demonstrate that the GBS operator possesses at least better numerical results than the bivariate Bernstein-type operator. All mentioned results point out the novelty of this study.

    Mathematics Subject Classification: Primary: 41A25; Secondary: 41A36.

    Citation:

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  • Table 1.  The approximation error by $ \mathcal{B}_{n,n}^{\lambda _{1},\lambda _{2}}\left(g\right) $ to $ g $ by means of the complete modulus of continuity for $ \lambda = 0.5 $

    $ \lambda=0.5 $ $ n=40 $ $ n=30 $ $ n=20 $
    $ \delta _{1}=\delta _{2} $ $ .5171701557\times 10^{-1} $ $ .5977184614\times 10^{-1} $ $ .7335943962\times 10^{-1} $
    $ \omega \left( g;\delta _{1},\delta _{2}\right) $ $ .1007593815 $ $ .1159710188 $ $ .1413372719 $
    $ E_{1}\left(\mathcal{B}_{n,n}^{\lambda _{1},\lambda _{2}}\left(g\right) ,g\right) $ $ .4030375260 $ $ .4638840752 $ $ .5653490876 $
     | Show Table
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    Table 2.  The approximation error by $ \mathcal{B}_{n,n}^{\lambda _{1},\lambda _{2}}\left(g\right) $ to $ g $ by means of the complete modulus of continuity for $ \lambda = 0 $

    $ \lambda=0 $ $ n=40 $ $ n=30 $ $ n=20 $
    $ \delta _{1}=\delta _{2} $ $ .790569415\times 10^{-1} $ $ .9128709291\times 10^{-1} $ $ .11180339887 $
    $ \omega \left( g;\delta _{1},\delta _{2}\right) $ $ .1518638830 $ $ .1742408526 $ $ .2111067978 $
    $ E_{2}\left(\mathcal{B}_{n,n}^{\lambda _{1},\lambda _{2}}\left(g\right) ,g\right) $ $ .6074555320 $ $ .6969634104 $ $ .8444271912 $
     | Show Table
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    Table 3.  The approximation error by $ \mathcal{B}_{n,n}^{\lambda _{1},\lambda _{2}}\left(g\right) $ to $ g $ by means of the Lipschitz functions on $ I_{R} $ for $ \lambda = 0.5 $ and $ \eta = 0.1 $

    $ \lambda=0.5 $ $ n=40 $ $ n=30 $ $ n=20 $
    $ \delta _{1}=\delta _{2} $ $ .5171701557\times 10^{-1} $ $ .5977184614\times 10^{-1} $ $ .7335943962\times 10^{-1} $
    $ M_{g} $ $ .1822043754 $ $ .2037277262 $ $ .2383227509 $
    $ E_{3}\left(\mathcal{B}_{n,n}^{\lambda _{1},\lambda _{2}}\left(g\right) ,g\right) $ $ .1007593815 $ $ .1159710187 $ $ .1413372719 $
     | Show Table
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    Table 4.  The approximation error by $ \mathcal{B}_{n,n}^{\lambda _{1},\lambda _{2}}\left(g\right) $ to $ g $ by means of the Lipschitz functions on $ I_{R} $ for $ \lambda = 0 $ and $ \eta = 0.1 $

    $ \lambda=0 $ $ n=40 $ $ n=30 $ $ n=20 $
    $ \delta _{1}=\delta _{2} $ $ .790569415\times 10^{-1} $ $ .9128709291\times 10^{-1} $ $ 0.1118033988 $
    $ M_{g} $ $ .2522705177 $ $ .2812341864 $ $ .3271984342 $
    $ E_{4}\left(\mathcal{B}_{n,n}^{\lambda _{1},\lambda _{2}}\left(g\right) ,g\right) $ $ .1518638830 $ $ .1742408524 $ $ .2111067977 $
     | Show Table
    DownLoad: CSV

    Table 5.  The approximation error by $ \mathcal{G}_{n,n}^{\lambda _{1},\lambda _{2}}\left(g\right) $ to $ g $ by means of the mixed modulus of continuity for $ \lambda = 0.5 $

    $ \lambda=0.5 $ $ n=40 $ $ n=30 $ $ n=20 $
    $ \delta _{1}=\delta _{2} $ $ .5171701557\times 10^{-1} $ $ .5977184614\times 10^{-1} $ $ .7335943962\times 10^{-1} $
    $ \omega _{mixed}\left( g;\delta _{1},\delta _{2}\right) $ $ .2674649699\times 10^{-2} $ $ .3572673591\times 10^{-2} $ $ .5381607381\times 10^{-2} $
    $ E_{5}\left(\mathcal{G}_{n,n}^{\lambda _{1},\lambda _{2}}\left(g\right) ,g\right) $ $ .1069859880\times 10^{-1} $ $ .1429069436\times 10^{-1} $ $ .2152642952\times 10^{-1} $
     | Show Table
    DownLoad: CSV

    Table 6.  The approximation error by $ \mathcal{G}_{n,n}^{\lambda _{1},\lambda _{2}}\left(g\right) $ to $ g $ by means of the mixed modulus of continuity for $ \lambda = 0 $

    $ \lambda=0 $ $ n=40 $ $ n=30 $ $ n=20 $
    $ \delta _{1}=\delta _{2} $ $ .7905694150\times 10^{-1} $ $ .9128709291\times 10^{-1} $ $ .2738612787 $
    $ \omega _{mixed}\left( g;\delta _{1},\delta _{2}\right) $ $ .6250000000\times 10^{-2} $ $ .8333333333\times 10^{-2} $ $ .1250000000\times 10^{-1} $
    $ E_{6}\left(\mathcal{G}_{n,n}^{\lambda _{1},\lambda _{2}}\left(g\right) ,g\right) $ $ .2500000000\times 10^{-1} $ $ .3333333333\times 10^{-1} $ $ .5000000000\times 10^{-1} $
     | Show Table
    DownLoad: CSV

    Table 7.  The approximation error by $ \mathcal{G}_{n,n}^{\lambda _{1},\lambda _{2}}\left(g\right) $ to $ g $ by means of the Lipschitz-type Bögel-continuous functions on $ I_{R} $ for $ \lambda = 0.5 $ and $ \gamma = 0.1 $

    $ \lambda=0.5 $ $ n=40 $ $ n=30 $ $ n=20 $
    $ \delta _{1}=\delta _{2} $ $ .5171701557\times 10^{-1} $ $ .5977184614\times 10^{-1} $ $ .7335943962\times 10^{-1} $
    $ M_{g} $ $ .4836600531\times 10^{-2} $ $ .6276159987\times 10^{-2} $ $ .9074460391\times 10^{-2} $
    $ E_{7}\left(\mathcal{G}_{n,n}^{\lambda _{1},\lambda _{2}}\left(g\right) ,g\right) $ $ .2674649699\times 10^{-2} $ $ .3572673591\times 10^{-2} $ $ .5381607382\times 10^{-2} $
     | Show Table
    DownLoad: CSV

    Table 8.  The approximation error by $ \mathcal{G}_{n,n}^{\lambda _{1},\lambda _{2}}\left(g\right) $ to $ g $ by means of the Lipschitz-type Bögel-continuous functions on $ I_{R} $ for $ \lambda = 0 $ and $ \gamma = 0.1 $

    $ \lambda=0 $ $ n=40 $ $ n=30 $ $ n=20 $
    $ \delta _{1}=\delta _{2} $ $ .7905694150\times 10^{-1} $ $ .9128709291 \times 10^{-1} $ $ .1118033988 $
    $ M_{g} $ $ .1038226275\times 10^{-1} $ $ .1345045199\times 10^{-1} $ $ .1937398734\times 10^{-1} $
    $ E_{8}\left(\mathcal{G}_{n,n}^{\lambda _{1},\lambda _{2}}\left(g\right) ,g\right) $ $ .6250000001\times 10^{-2} $ $ .8333333331\times 10^{-2} $ $ .1250000000\times 10^{-1} $
     | Show Table
    DownLoad: CSV
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