Curvature computation (mixing of partial derivatives and the curvature tensor) [Kähler Geometry]

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Let $(M, omega)$ be a compact Kähler manifold and let $lambda_1$ denote the first eigenvalue of the Laplace operator $Delta$. It is a well known fact that there exists an eigenfunction $u$ such that $Delta u = - lambda_1 u$.



I am working through the following computation on page 65 of Gang Tian's Canonical Metrics in Kähler Geometry text.



At a point, we write the metric as $g_i overlinej = delta_ij$. Then we see that begineqnarray*
u_i j u_overlinei overlinej &=& (u_i j u_overlinei)_overlinej- u_i j overlinej u_overlinei, \
&=& textdiv(u_ij u_overlinei) - u_jioverlinej u_overlinei \
&=& textdiv(u_ij u_overlinei) - u_j overlinej i u_i - R_overlines j i overlinej u_s u_overlinei
endeqnarray*



Here $$u_i overlinej : = fracpartial^2 upartial z_i partial overlinez_j.$$



Can someone explain to me why $u_ij overlinej = u_j i overlinej$, but the mixing of holomorphic and anti-holomorphic partial derivatives picks up a curvature term? Any help with justifying the last line of the computation of $u_ij u_overlinei overlinej$ would be very much appreciated.



Thanks in advance.







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    Let $(M, omega)$ be a compact Kähler manifold and let $lambda_1$ denote the first eigenvalue of the Laplace operator $Delta$. It is a well known fact that there exists an eigenfunction $u$ such that $Delta u = - lambda_1 u$.



    I am working through the following computation on page 65 of Gang Tian's Canonical Metrics in Kähler Geometry text.



    At a point, we write the metric as $g_i overlinej = delta_ij$. Then we see that begineqnarray*
    u_i j u_overlinei overlinej &=& (u_i j u_overlinei)_overlinej- u_i j overlinej u_overlinei, \
    &=& textdiv(u_ij u_overlinei) - u_jioverlinej u_overlinei \
    &=& textdiv(u_ij u_overlinei) - u_j overlinej i u_i - R_overlines j i overlinej u_s u_overlinei
    endeqnarray*



    Here $$u_i overlinej : = fracpartial^2 upartial z_i partial overlinez_j.$$



    Can someone explain to me why $u_ij overlinej = u_j i overlinej$, but the mixing of holomorphic and anti-holomorphic partial derivatives picks up a curvature term? Any help with justifying the last line of the computation of $u_ij u_overlinei overlinej$ would be very much appreciated.



    Thanks in advance.







    share|cite|improve this question





















      up vote
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      down vote

      favorite









      up vote
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      down vote

      favorite











      Let $(M, omega)$ be a compact Kähler manifold and let $lambda_1$ denote the first eigenvalue of the Laplace operator $Delta$. It is a well known fact that there exists an eigenfunction $u$ such that $Delta u = - lambda_1 u$.



      I am working through the following computation on page 65 of Gang Tian's Canonical Metrics in Kähler Geometry text.



      At a point, we write the metric as $g_i overlinej = delta_ij$. Then we see that begineqnarray*
      u_i j u_overlinei overlinej &=& (u_i j u_overlinei)_overlinej- u_i j overlinej u_overlinei, \
      &=& textdiv(u_ij u_overlinei) - u_jioverlinej u_overlinei \
      &=& textdiv(u_ij u_overlinei) - u_j overlinej i u_i - R_overlines j i overlinej u_s u_overlinei
      endeqnarray*



      Here $$u_i overlinej : = fracpartial^2 upartial z_i partial overlinez_j.$$



      Can someone explain to me why $u_ij overlinej = u_j i overlinej$, but the mixing of holomorphic and anti-holomorphic partial derivatives picks up a curvature term? Any help with justifying the last line of the computation of $u_ij u_overlinei overlinej$ would be very much appreciated.



      Thanks in advance.







      share|cite|improve this question











      Let $(M, omega)$ be a compact Kähler manifold and let $lambda_1$ denote the first eigenvalue of the Laplace operator $Delta$. It is a well known fact that there exists an eigenfunction $u$ such that $Delta u = - lambda_1 u$.



      I am working through the following computation on page 65 of Gang Tian's Canonical Metrics in Kähler Geometry text.



      At a point, we write the metric as $g_i overlinej = delta_ij$. Then we see that begineqnarray*
      u_i j u_overlinei overlinej &=& (u_i j u_overlinei)_overlinej- u_i j overlinej u_overlinei, \
      &=& textdiv(u_ij u_overlinei) - u_jioverlinej u_overlinei \
      &=& textdiv(u_ij u_overlinei) - u_j overlinej i u_i - R_overlines j i overlinej u_s u_overlinei
      endeqnarray*



      Here $$u_i overlinej : = fracpartial^2 upartial z_i partial overlinez_j.$$



      Can someone explain to me why $u_ij overlinej = u_j i overlinej$, but the mixing of holomorphic and anti-holomorphic partial derivatives picks up a curvature term? Any help with justifying the last line of the computation of $u_ij u_overlinei overlinej$ would be very much appreciated.



      Thanks in advance.









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      asked Jul 20 at 22:25









      user519758

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          In Riemannian manifold, $nabla_Znabla_Xnabla_Y f-nabla_Z
          nabla_Ynabla _Xf=0$ so that we have it.






          share|cite|improve this answer





















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            up vote
            0
            down vote













            In Riemannian manifold, $nabla_Znabla_Xnabla_Y f-nabla_Z
            nabla_Ynabla _Xf=0$ so that we have it.






            share|cite|improve this answer

























              up vote
              0
              down vote













              In Riemannian manifold, $nabla_Znabla_Xnabla_Y f-nabla_Z
              nabla_Ynabla _Xf=0$ so that we have it.






              share|cite|improve this answer























                up vote
                0
                down vote










                up vote
                0
                down vote









                In Riemannian manifold, $nabla_Znabla_Xnabla_Y f-nabla_Z
                nabla_Ynabla _Xf=0$ so that we have it.






                share|cite|improve this answer













                In Riemannian manifold, $nabla_Znabla_Xnabla_Y f-nabla_Z
                nabla_Ynabla _Xf=0$ so that we have it.







                share|cite|improve this answer













                share|cite|improve this answer



                share|cite|improve this answer











                answered Jul 27 at 4:13









                HK Lee

                13.5k31855




                13.5k31855






















                     

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