What is common between adjoint operator and transpose of the matrix?












5












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I am confused.
What is Connection between Adjoint Operator and transpose of the Matrix?



I will be very grateful if someone can help me to clarify it.










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$endgroup$

















    5












    $begingroup$


    I am confused.
    What is Connection between Adjoint Operator and transpose of the Matrix?



    I will be very grateful if someone can help me to clarify it.










    share|cite|improve this question









    $endgroup$















      5












      5








      5


      2



      $begingroup$


      I am confused.
      What is Connection between Adjoint Operator and transpose of the Matrix?



      I will be very grateful if someone can help me to clarify it.










      share|cite|improve this question









      $endgroup$




      I am confused.
      What is Connection between Adjoint Operator and transpose of the Matrix?



      I will be very grateful if someone can help me to clarify it.







      functional-analysis






      share|cite|improve this question













      share|cite|improve this question











      share|cite|improve this question




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      asked Mar 22 '14 at 16:08









      learnerlearner

      3781616




      3781616






















          3 Answers
          3






          active

          oldest

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          2












          $begingroup$

          Let $f$ an endomorphism in an euclidean space $(E,langle,rangle)$ and let $A$ the matrix that represents $f$ relative to an orthonormal basis $mathcal B$. Let $x,yin E$ and $X=[x]_{mathcal B}, Y=[y]_{mathcal B}$ and $A^*$ the matrix of the adjoint $f^*$ of $f$ in $mathcal B$ then
          $$langle f(x),yrangle=langle x,f^*(y)rangleiff(AX)^TY=X^TA^TY=X^TA^*Y$$
          and the last equality imply:
          $$A^*=A^T$$






          share|cite|improve this answer









          $endgroup$





















            6












            $begingroup$

            A linear operator $L : Xrightarrow X$ on a linear space $X$ over a field $mathcal{F}$ does not require the notion of a basis in order to be defined. Such an $L$ is a function with the property that
            $$
            L(alpha x+beta y ) =alpha L(x)+beta L(y),;;; x,y in X,
            ;;alpha,beta in mathcal{F}.
            $$
            If $X$ is finite-dimensional, and if ${ v_{j}}_{j=1}^{N}$ is a basis for $X$, then you end up with a matrix representation of $L$ given by
            $$
            [Lx]_{v} = [L]_{v}[x]_{v}
            $$
            Then you can define a new linear transformation $M_{v} : Xrightarrow X$ such that
            $$
            [M_{v}x]_{v} = [L]_{v}^{T}[x]_{v},
            $$
            where $[L]_{v}^{T}$ is the transpose of $[L]$. A subscript of $v$ on the operator $M_{v}$ is necessary because the resulting linear operator definitely depends on the choice of basis; it is not uniquely determined by the linear operator $L$.



            The adjoint of $L$ is also something which also requires a subscript, and it requires further specialization to the field $mathcal{F}$ of real or complex numbers. For your situation, assume $mathcal{F}$ is the field of real numbers. The general concept of adjoint in this case requires you to consider the dual space $X^{star}$ consisting of linear functions $x^{star} : Xrightarrowmathbb{R}$. The adjoint $L^{star} : X^{star}rightarrow X^{star}$ maps $x^{star}$ to $x^{star}circ L$. That is, $L^{star}x^{star}=x^{star}circ L$.



            A connection between adjoint and transpose is found when choosing a basis ${ v_{n}^{star}}_{n=1}^{N}$ for $X^{star}$ such that $v_{j}^{star}(v_{k})=delta_{j,k}$. This is the so-called dual basis of ${ v_{j}}_{j=1}^{k}$ for $X^{star}$. In this basis, notice that $L^{star}v_{j}^{star}$ is defined by its action on the basis ${ v_{j}}_{j=1}^{k}$, which is easily found from the definition of $L^{star}$.
            If $[L]_{v}=[l_{j,k}]$, then $Lv_{k}=l_{1,k}v_{1}+cdots+l_{N,k}v_{N}$ and
            $$
            (L^{star}v_{j}^{star})(v_{k})=(v_{j}^{star}circ L)(v_{k})=v_{j}^{star}(Lv_{k})=v_{j}^{star}(l_{1,k}v_{1}+cdots l_{N,k}v_{N})=l_{j,k}.
            $$
            In other words, $L^{star}v_{j}^{star}$ is determined by its action on the basis ${ v_{j}^{star}}$ to be
            $$
            L^{star}v_{j}=l_{j,1}v_{1}^{star}+cdots+l_{j,N}v_{N}^{star}.
            $$
            So the representation of $L^{star}$ with respect to ${ v_{j}^{star}}$ is the transpose of the matrix representation of $L$ with respect to ${ v_{j}}$. That is,
            $$
            [L^{star}]_{v^{star}}=[L]_{v}^{T}.
            $$
            But this holds only if $v^{star}$ is the dual basis of $v$.



            If you have a real inner-product, then the dual basis ${ e_{n}^{star}}_{n=1}^{N}$ of an orthonormal basis ${ e_{n}}_{n=1}^{N}$ is identified with the original basis because $e_{j}^{star}(x)=(x,e_{j})$ does define $e_{j}^{star} in X^{star}$ such that $e_{j}^{star}(e_{k})=delta_{j,k}$.






            share|cite|improve this answer











            $endgroup$













            • $begingroup$
              It does not matter that the ground field is the field of real numbers. Everything holds over an arbitrary field.
              $endgroup$
              – user44400
              Feb 8 '17 at 23:33






            • 1




              $begingroup$
              @user44400 : You don't have inner products over arbitrary fields.
              $endgroup$
              – DisintegratingByParts
              Feb 9 '17 at 0:17






            • 1




              $begingroup$
              @DisintegratingByParts You can speak of nondegenerate (symmetric) bilinear forms over arbitrary fields, and this is all you really need to define an adjoint map.
              $endgroup$
              – ಠ_ಠ
              Oct 15 '17 at 2:26



















            4












            $begingroup$

            Suppose a real operator $T:Bbb{R}^n to Bbb{R}^m$ is given by
            $$
            T(x) = Ax
            $$
            Where $x$ is a column vector and $A$ is an $m times n$ matrix. The adjoint of this operator will be given by
            $$
            T^*(y) = A^Ty
            $$






            share|cite|improve this answer









            $endgroup$













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              3 Answers
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              active

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              3 Answers
              3






              active

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              active

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              active

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              2












              $begingroup$

              Let $f$ an endomorphism in an euclidean space $(E,langle,rangle)$ and let $A$ the matrix that represents $f$ relative to an orthonormal basis $mathcal B$. Let $x,yin E$ and $X=[x]_{mathcal B}, Y=[y]_{mathcal B}$ and $A^*$ the matrix of the adjoint $f^*$ of $f$ in $mathcal B$ then
              $$langle f(x),yrangle=langle x,f^*(y)rangleiff(AX)^TY=X^TA^TY=X^TA^*Y$$
              and the last equality imply:
              $$A^*=A^T$$






              share|cite|improve this answer









              $endgroup$


















                2












                $begingroup$

                Let $f$ an endomorphism in an euclidean space $(E,langle,rangle)$ and let $A$ the matrix that represents $f$ relative to an orthonormal basis $mathcal B$. Let $x,yin E$ and $X=[x]_{mathcal B}, Y=[y]_{mathcal B}$ and $A^*$ the matrix of the adjoint $f^*$ of $f$ in $mathcal B$ then
                $$langle f(x),yrangle=langle x,f^*(y)rangleiff(AX)^TY=X^TA^TY=X^TA^*Y$$
                and the last equality imply:
                $$A^*=A^T$$






                share|cite|improve this answer









                $endgroup$
















                  2












                  2








                  2





                  $begingroup$

                  Let $f$ an endomorphism in an euclidean space $(E,langle,rangle)$ and let $A$ the matrix that represents $f$ relative to an orthonormal basis $mathcal B$. Let $x,yin E$ and $X=[x]_{mathcal B}, Y=[y]_{mathcal B}$ and $A^*$ the matrix of the adjoint $f^*$ of $f$ in $mathcal B$ then
                  $$langle f(x),yrangle=langle x,f^*(y)rangleiff(AX)^TY=X^TA^TY=X^TA^*Y$$
                  and the last equality imply:
                  $$A^*=A^T$$






                  share|cite|improve this answer









                  $endgroup$



                  Let $f$ an endomorphism in an euclidean space $(E,langle,rangle)$ and let $A$ the matrix that represents $f$ relative to an orthonormal basis $mathcal B$. Let $x,yin E$ and $X=[x]_{mathcal B}, Y=[y]_{mathcal B}$ and $A^*$ the matrix of the adjoint $f^*$ of $f$ in $mathcal B$ then
                  $$langle f(x),yrangle=langle x,f^*(y)rangleiff(AX)^TY=X^TA^TY=X^TA^*Y$$
                  and the last equality imply:
                  $$A^*=A^T$$







                  share|cite|improve this answer












                  share|cite|improve this answer



                  share|cite|improve this answer










                  answered Mar 22 '14 at 16:26







                  user63181






























                      6












                      $begingroup$

                      A linear operator $L : Xrightarrow X$ on a linear space $X$ over a field $mathcal{F}$ does not require the notion of a basis in order to be defined. Such an $L$ is a function with the property that
                      $$
                      L(alpha x+beta y ) =alpha L(x)+beta L(y),;;; x,y in X,
                      ;;alpha,beta in mathcal{F}.
                      $$
                      If $X$ is finite-dimensional, and if ${ v_{j}}_{j=1}^{N}$ is a basis for $X$, then you end up with a matrix representation of $L$ given by
                      $$
                      [Lx]_{v} = [L]_{v}[x]_{v}
                      $$
                      Then you can define a new linear transformation $M_{v} : Xrightarrow X$ such that
                      $$
                      [M_{v}x]_{v} = [L]_{v}^{T}[x]_{v},
                      $$
                      where $[L]_{v}^{T}$ is the transpose of $[L]$. A subscript of $v$ on the operator $M_{v}$ is necessary because the resulting linear operator definitely depends on the choice of basis; it is not uniquely determined by the linear operator $L$.



                      The adjoint of $L$ is also something which also requires a subscript, and it requires further specialization to the field $mathcal{F}$ of real or complex numbers. For your situation, assume $mathcal{F}$ is the field of real numbers. The general concept of adjoint in this case requires you to consider the dual space $X^{star}$ consisting of linear functions $x^{star} : Xrightarrowmathbb{R}$. The adjoint $L^{star} : X^{star}rightarrow X^{star}$ maps $x^{star}$ to $x^{star}circ L$. That is, $L^{star}x^{star}=x^{star}circ L$.



                      A connection between adjoint and transpose is found when choosing a basis ${ v_{n}^{star}}_{n=1}^{N}$ for $X^{star}$ such that $v_{j}^{star}(v_{k})=delta_{j,k}$. This is the so-called dual basis of ${ v_{j}}_{j=1}^{k}$ for $X^{star}$. In this basis, notice that $L^{star}v_{j}^{star}$ is defined by its action on the basis ${ v_{j}}_{j=1}^{k}$, which is easily found from the definition of $L^{star}$.
                      If $[L]_{v}=[l_{j,k}]$, then $Lv_{k}=l_{1,k}v_{1}+cdots+l_{N,k}v_{N}$ and
                      $$
                      (L^{star}v_{j}^{star})(v_{k})=(v_{j}^{star}circ L)(v_{k})=v_{j}^{star}(Lv_{k})=v_{j}^{star}(l_{1,k}v_{1}+cdots l_{N,k}v_{N})=l_{j,k}.
                      $$
                      In other words, $L^{star}v_{j}^{star}$ is determined by its action on the basis ${ v_{j}^{star}}$ to be
                      $$
                      L^{star}v_{j}=l_{j,1}v_{1}^{star}+cdots+l_{j,N}v_{N}^{star}.
                      $$
                      So the representation of $L^{star}$ with respect to ${ v_{j}^{star}}$ is the transpose of the matrix representation of $L$ with respect to ${ v_{j}}$. That is,
                      $$
                      [L^{star}]_{v^{star}}=[L]_{v}^{T}.
                      $$
                      But this holds only if $v^{star}$ is the dual basis of $v$.



                      If you have a real inner-product, then the dual basis ${ e_{n}^{star}}_{n=1}^{N}$ of an orthonormal basis ${ e_{n}}_{n=1}^{N}$ is identified with the original basis because $e_{j}^{star}(x)=(x,e_{j})$ does define $e_{j}^{star} in X^{star}$ such that $e_{j}^{star}(e_{k})=delta_{j,k}$.






                      share|cite|improve this answer











                      $endgroup$













                      • $begingroup$
                        It does not matter that the ground field is the field of real numbers. Everything holds over an arbitrary field.
                        $endgroup$
                        – user44400
                        Feb 8 '17 at 23:33






                      • 1




                        $begingroup$
                        @user44400 : You don't have inner products over arbitrary fields.
                        $endgroup$
                        – DisintegratingByParts
                        Feb 9 '17 at 0:17






                      • 1




                        $begingroup$
                        @DisintegratingByParts You can speak of nondegenerate (symmetric) bilinear forms over arbitrary fields, and this is all you really need to define an adjoint map.
                        $endgroup$
                        – ಠ_ಠ
                        Oct 15 '17 at 2:26
















                      6












                      $begingroup$

                      A linear operator $L : Xrightarrow X$ on a linear space $X$ over a field $mathcal{F}$ does not require the notion of a basis in order to be defined. Such an $L$ is a function with the property that
                      $$
                      L(alpha x+beta y ) =alpha L(x)+beta L(y),;;; x,y in X,
                      ;;alpha,beta in mathcal{F}.
                      $$
                      If $X$ is finite-dimensional, and if ${ v_{j}}_{j=1}^{N}$ is a basis for $X$, then you end up with a matrix representation of $L$ given by
                      $$
                      [Lx]_{v} = [L]_{v}[x]_{v}
                      $$
                      Then you can define a new linear transformation $M_{v} : Xrightarrow X$ such that
                      $$
                      [M_{v}x]_{v} = [L]_{v}^{T}[x]_{v},
                      $$
                      where $[L]_{v}^{T}$ is the transpose of $[L]$. A subscript of $v$ on the operator $M_{v}$ is necessary because the resulting linear operator definitely depends on the choice of basis; it is not uniquely determined by the linear operator $L$.



                      The adjoint of $L$ is also something which also requires a subscript, and it requires further specialization to the field $mathcal{F}$ of real or complex numbers. For your situation, assume $mathcal{F}$ is the field of real numbers. The general concept of adjoint in this case requires you to consider the dual space $X^{star}$ consisting of linear functions $x^{star} : Xrightarrowmathbb{R}$. The adjoint $L^{star} : X^{star}rightarrow X^{star}$ maps $x^{star}$ to $x^{star}circ L$. That is, $L^{star}x^{star}=x^{star}circ L$.



                      A connection between adjoint and transpose is found when choosing a basis ${ v_{n}^{star}}_{n=1}^{N}$ for $X^{star}$ such that $v_{j}^{star}(v_{k})=delta_{j,k}$. This is the so-called dual basis of ${ v_{j}}_{j=1}^{k}$ for $X^{star}$. In this basis, notice that $L^{star}v_{j}^{star}$ is defined by its action on the basis ${ v_{j}}_{j=1}^{k}$, which is easily found from the definition of $L^{star}$.
                      If $[L]_{v}=[l_{j,k}]$, then $Lv_{k}=l_{1,k}v_{1}+cdots+l_{N,k}v_{N}$ and
                      $$
                      (L^{star}v_{j}^{star})(v_{k})=(v_{j}^{star}circ L)(v_{k})=v_{j}^{star}(Lv_{k})=v_{j}^{star}(l_{1,k}v_{1}+cdots l_{N,k}v_{N})=l_{j,k}.
                      $$
                      In other words, $L^{star}v_{j}^{star}$ is determined by its action on the basis ${ v_{j}^{star}}$ to be
                      $$
                      L^{star}v_{j}=l_{j,1}v_{1}^{star}+cdots+l_{j,N}v_{N}^{star}.
                      $$
                      So the representation of $L^{star}$ with respect to ${ v_{j}^{star}}$ is the transpose of the matrix representation of $L$ with respect to ${ v_{j}}$. That is,
                      $$
                      [L^{star}]_{v^{star}}=[L]_{v}^{T}.
                      $$
                      But this holds only if $v^{star}$ is the dual basis of $v$.



                      If you have a real inner-product, then the dual basis ${ e_{n}^{star}}_{n=1}^{N}$ of an orthonormal basis ${ e_{n}}_{n=1}^{N}$ is identified with the original basis because $e_{j}^{star}(x)=(x,e_{j})$ does define $e_{j}^{star} in X^{star}$ such that $e_{j}^{star}(e_{k})=delta_{j,k}$.






                      share|cite|improve this answer











                      $endgroup$













                      • $begingroup$
                        It does not matter that the ground field is the field of real numbers. Everything holds over an arbitrary field.
                        $endgroup$
                        – user44400
                        Feb 8 '17 at 23:33






                      • 1




                        $begingroup$
                        @user44400 : You don't have inner products over arbitrary fields.
                        $endgroup$
                        – DisintegratingByParts
                        Feb 9 '17 at 0:17






                      • 1




                        $begingroup$
                        @DisintegratingByParts You can speak of nondegenerate (symmetric) bilinear forms over arbitrary fields, and this is all you really need to define an adjoint map.
                        $endgroup$
                        – ಠ_ಠ
                        Oct 15 '17 at 2:26














                      6












                      6








                      6





                      $begingroup$

                      A linear operator $L : Xrightarrow X$ on a linear space $X$ over a field $mathcal{F}$ does not require the notion of a basis in order to be defined. Such an $L$ is a function with the property that
                      $$
                      L(alpha x+beta y ) =alpha L(x)+beta L(y),;;; x,y in X,
                      ;;alpha,beta in mathcal{F}.
                      $$
                      If $X$ is finite-dimensional, and if ${ v_{j}}_{j=1}^{N}$ is a basis for $X$, then you end up with a matrix representation of $L$ given by
                      $$
                      [Lx]_{v} = [L]_{v}[x]_{v}
                      $$
                      Then you can define a new linear transformation $M_{v} : Xrightarrow X$ such that
                      $$
                      [M_{v}x]_{v} = [L]_{v}^{T}[x]_{v},
                      $$
                      where $[L]_{v}^{T}$ is the transpose of $[L]$. A subscript of $v$ on the operator $M_{v}$ is necessary because the resulting linear operator definitely depends on the choice of basis; it is not uniquely determined by the linear operator $L$.



                      The adjoint of $L$ is also something which also requires a subscript, and it requires further specialization to the field $mathcal{F}$ of real or complex numbers. For your situation, assume $mathcal{F}$ is the field of real numbers. The general concept of adjoint in this case requires you to consider the dual space $X^{star}$ consisting of linear functions $x^{star} : Xrightarrowmathbb{R}$. The adjoint $L^{star} : X^{star}rightarrow X^{star}$ maps $x^{star}$ to $x^{star}circ L$. That is, $L^{star}x^{star}=x^{star}circ L$.



                      A connection between adjoint and transpose is found when choosing a basis ${ v_{n}^{star}}_{n=1}^{N}$ for $X^{star}$ such that $v_{j}^{star}(v_{k})=delta_{j,k}$. This is the so-called dual basis of ${ v_{j}}_{j=1}^{k}$ for $X^{star}$. In this basis, notice that $L^{star}v_{j}^{star}$ is defined by its action on the basis ${ v_{j}}_{j=1}^{k}$, which is easily found from the definition of $L^{star}$.
                      If $[L]_{v}=[l_{j,k}]$, then $Lv_{k}=l_{1,k}v_{1}+cdots+l_{N,k}v_{N}$ and
                      $$
                      (L^{star}v_{j}^{star})(v_{k})=(v_{j}^{star}circ L)(v_{k})=v_{j}^{star}(Lv_{k})=v_{j}^{star}(l_{1,k}v_{1}+cdots l_{N,k}v_{N})=l_{j,k}.
                      $$
                      In other words, $L^{star}v_{j}^{star}$ is determined by its action on the basis ${ v_{j}^{star}}$ to be
                      $$
                      L^{star}v_{j}=l_{j,1}v_{1}^{star}+cdots+l_{j,N}v_{N}^{star}.
                      $$
                      So the representation of $L^{star}$ with respect to ${ v_{j}^{star}}$ is the transpose of the matrix representation of $L$ with respect to ${ v_{j}}$. That is,
                      $$
                      [L^{star}]_{v^{star}}=[L]_{v}^{T}.
                      $$
                      But this holds only if $v^{star}$ is the dual basis of $v$.



                      If you have a real inner-product, then the dual basis ${ e_{n}^{star}}_{n=1}^{N}$ of an orthonormal basis ${ e_{n}}_{n=1}^{N}$ is identified with the original basis because $e_{j}^{star}(x)=(x,e_{j})$ does define $e_{j}^{star} in X^{star}$ such that $e_{j}^{star}(e_{k})=delta_{j,k}$.






                      share|cite|improve this answer











                      $endgroup$



                      A linear operator $L : Xrightarrow X$ on a linear space $X$ over a field $mathcal{F}$ does not require the notion of a basis in order to be defined. Such an $L$ is a function with the property that
                      $$
                      L(alpha x+beta y ) =alpha L(x)+beta L(y),;;; x,y in X,
                      ;;alpha,beta in mathcal{F}.
                      $$
                      If $X$ is finite-dimensional, and if ${ v_{j}}_{j=1}^{N}$ is a basis for $X$, then you end up with a matrix representation of $L$ given by
                      $$
                      [Lx]_{v} = [L]_{v}[x]_{v}
                      $$
                      Then you can define a new linear transformation $M_{v} : Xrightarrow X$ such that
                      $$
                      [M_{v}x]_{v} = [L]_{v}^{T}[x]_{v},
                      $$
                      where $[L]_{v}^{T}$ is the transpose of $[L]$. A subscript of $v$ on the operator $M_{v}$ is necessary because the resulting linear operator definitely depends on the choice of basis; it is not uniquely determined by the linear operator $L$.



                      The adjoint of $L$ is also something which also requires a subscript, and it requires further specialization to the field $mathcal{F}$ of real or complex numbers. For your situation, assume $mathcal{F}$ is the field of real numbers. The general concept of adjoint in this case requires you to consider the dual space $X^{star}$ consisting of linear functions $x^{star} : Xrightarrowmathbb{R}$. The adjoint $L^{star} : X^{star}rightarrow X^{star}$ maps $x^{star}$ to $x^{star}circ L$. That is, $L^{star}x^{star}=x^{star}circ L$.



                      A connection between adjoint and transpose is found when choosing a basis ${ v_{n}^{star}}_{n=1}^{N}$ for $X^{star}$ such that $v_{j}^{star}(v_{k})=delta_{j,k}$. This is the so-called dual basis of ${ v_{j}}_{j=1}^{k}$ for $X^{star}$. In this basis, notice that $L^{star}v_{j}^{star}$ is defined by its action on the basis ${ v_{j}}_{j=1}^{k}$, which is easily found from the definition of $L^{star}$.
                      If $[L]_{v}=[l_{j,k}]$, then $Lv_{k}=l_{1,k}v_{1}+cdots+l_{N,k}v_{N}$ and
                      $$
                      (L^{star}v_{j}^{star})(v_{k})=(v_{j}^{star}circ L)(v_{k})=v_{j}^{star}(Lv_{k})=v_{j}^{star}(l_{1,k}v_{1}+cdots l_{N,k}v_{N})=l_{j,k}.
                      $$
                      In other words, $L^{star}v_{j}^{star}$ is determined by its action on the basis ${ v_{j}^{star}}$ to be
                      $$
                      L^{star}v_{j}=l_{j,1}v_{1}^{star}+cdots+l_{j,N}v_{N}^{star}.
                      $$
                      So the representation of $L^{star}$ with respect to ${ v_{j}^{star}}$ is the transpose of the matrix representation of $L$ with respect to ${ v_{j}}$. That is,
                      $$
                      [L^{star}]_{v^{star}}=[L]_{v}^{T}.
                      $$
                      But this holds only if $v^{star}$ is the dual basis of $v$.



                      If you have a real inner-product, then the dual basis ${ e_{n}^{star}}_{n=1}^{N}$ of an orthonormal basis ${ e_{n}}_{n=1}^{N}$ is identified with the original basis because $e_{j}^{star}(x)=(x,e_{j})$ does define $e_{j}^{star} in X^{star}$ such that $e_{j}^{star}(e_{k})=delta_{j,k}$.







                      share|cite|improve this answer














                      share|cite|improve this answer



                      share|cite|improve this answer








                      edited Mar 22 '14 at 20:55

























                      answered Mar 22 '14 at 20:40









                      DisintegratingByPartsDisintegratingByParts

                      59.3k42580




                      59.3k42580












                      • $begingroup$
                        It does not matter that the ground field is the field of real numbers. Everything holds over an arbitrary field.
                        $endgroup$
                        – user44400
                        Feb 8 '17 at 23:33






                      • 1




                        $begingroup$
                        @user44400 : You don't have inner products over arbitrary fields.
                        $endgroup$
                        – DisintegratingByParts
                        Feb 9 '17 at 0:17






                      • 1




                        $begingroup$
                        @DisintegratingByParts You can speak of nondegenerate (symmetric) bilinear forms over arbitrary fields, and this is all you really need to define an adjoint map.
                        $endgroup$
                        – ಠ_ಠ
                        Oct 15 '17 at 2:26


















                      • $begingroup$
                        It does not matter that the ground field is the field of real numbers. Everything holds over an arbitrary field.
                        $endgroup$
                        – user44400
                        Feb 8 '17 at 23:33






                      • 1




                        $begingroup$
                        @user44400 : You don't have inner products over arbitrary fields.
                        $endgroup$
                        – DisintegratingByParts
                        Feb 9 '17 at 0:17






                      • 1




                        $begingroup$
                        @DisintegratingByParts You can speak of nondegenerate (symmetric) bilinear forms over arbitrary fields, and this is all you really need to define an adjoint map.
                        $endgroup$
                        – ಠ_ಠ
                        Oct 15 '17 at 2:26
















                      $begingroup$
                      It does not matter that the ground field is the field of real numbers. Everything holds over an arbitrary field.
                      $endgroup$
                      – user44400
                      Feb 8 '17 at 23:33




                      $begingroup$
                      It does not matter that the ground field is the field of real numbers. Everything holds over an arbitrary field.
                      $endgroup$
                      – user44400
                      Feb 8 '17 at 23:33




                      1




                      1




                      $begingroup$
                      @user44400 : You don't have inner products over arbitrary fields.
                      $endgroup$
                      – DisintegratingByParts
                      Feb 9 '17 at 0:17




                      $begingroup$
                      @user44400 : You don't have inner products over arbitrary fields.
                      $endgroup$
                      – DisintegratingByParts
                      Feb 9 '17 at 0:17




                      1




                      1




                      $begingroup$
                      @DisintegratingByParts You can speak of nondegenerate (symmetric) bilinear forms over arbitrary fields, and this is all you really need to define an adjoint map.
                      $endgroup$
                      – ಠ_ಠ
                      Oct 15 '17 at 2:26




                      $begingroup$
                      @DisintegratingByParts You can speak of nondegenerate (symmetric) bilinear forms over arbitrary fields, and this is all you really need to define an adjoint map.
                      $endgroup$
                      – ಠ_ಠ
                      Oct 15 '17 at 2:26











                      4












                      $begingroup$

                      Suppose a real operator $T:Bbb{R}^n to Bbb{R}^m$ is given by
                      $$
                      T(x) = Ax
                      $$
                      Where $x$ is a column vector and $A$ is an $m times n$ matrix. The adjoint of this operator will be given by
                      $$
                      T^*(y) = A^Ty
                      $$






                      share|cite|improve this answer









                      $endgroup$


















                        4












                        $begingroup$

                        Suppose a real operator $T:Bbb{R}^n to Bbb{R}^m$ is given by
                        $$
                        T(x) = Ax
                        $$
                        Where $x$ is a column vector and $A$ is an $m times n$ matrix. The adjoint of this operator will be given by
                        $$
                        T^*(y) = A^Ty
                        $$






                        share|cite|improve this answer









                        $endgroup$
















                          4












                          4








                          4





                          $begingroup$

                          Suppose a real operator $T:Bbb{R}^n to Bbb{R}^m$ is given by
                          $$
                          T(x) = Ax
                          $$
                          Where $x$ is a column vector and $A$ is an $m times n$ matrix. The adjoint of this operator will be given by
                          $$
                          T^*(y) = A^Ty
                          $$






                          share|cite|improve this answer









                          $endgroup$



                          Suppose a real operator $T:Bbb{R}^n to Bbb{R}^m$ is given by
                          $$
                          T(x) = Ax
                          $$
                          Where $x$ is a column vector and $A$ is an $m times n$ matrix. The adjoint of this operator will be given by
                          $$
                          T^*(y) = A^Ty
                          $$







                          share|cite|improve this answer












                          share|cite|improve this answer



                          share|cite|improve this answer










                          answered Mar 22 '14 at 16:20









                          OmnomnomnomOmnomnomnom

                          128k791183




                          128k791183






























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