Linear Map Adjoint or Inverse?











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In my lecture notes, we have a linear map $mathcal{A}(X)=X_{11}$ that maps $Xin S^2$ to its first element. It then claims that $mathcal{A}^*(X_{11})=
begin{bmatrix}
X_{11}&0\
0&0
end{bmatrix}$
is the adjoint.



To me I understand it by $mathcal{A}(X)=
begin{bmatrix}1&0end{bmatrix}
X
begin{bmatrix}1\0end{bmatrix}
=X_{11}$

, so we solve for $X$:
$$
begin{align}
X&=begin{bmatrix}1\0end{bmatrix}
Bigg(begin{bmatrix}1&0end{bmatrix}
X
begin{bmatrix}1\0end{bmatrix}Bigg)
begin{bmatrix}1&0end{bmatrix}\
&=
begin{bmatrix}1\0end{bmatrix}
X_{11}
begin{bmatrix}1&0end{bmatrix}\
&=mathcal{A}^*(X_{11}).
end{align}$$



However, (coming from a physics background) this seems like we found the inverse $mathcal{A}^{-1}$, not $mathcal{A}^*$ the adjoint. From what I know (from physics), the adjoint of an operator is its (conjugate) transpose, which we would have derived by doing:
$$mathcal{A}^*(X_{11})=
begin{bmatrix}1&0end{bmatrix}^T
X_{11}
begin{bmatrix}1\0end{bmatrix}^T
=
begin{bmatrix}1\0end{bmatrix}
X_{11}
begin{bmatrix}1&0end{bmatrix}.
$$



Is either of these the correct way? I'm guessing it's probably the latter, and that here we happen to have $mathcal{A}^*=mathcal{A}^{-1}$, but I'm confused because I've never seen this done before, and I've also never seen a map/operator not represented just by a single matrix.










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  • The linear map is defined on vector space. In particular, if we choose orthonormal bases of both spaces, one can show that the matrix representations of $L^∗$ and $L$ are related by $[L^∗]=[L]^T$. You can read more about it here math.stackexchange.com/questions/1769834/…
    – Jimmy
    Nov 18 at 20:01

















up vote
0
down vote

favorite












In my lecture notes, we have a linear map $mathcal{A}(X)=X_{11}$ that maps $Xin S^2$ to its first element. It then claims that $mathcal{A}^*(X_{11})=
begin{bmatrix}
X_{11}&0\
0&0
end{bmatrix}$
is the adjoint.



To me I understand it by $mathcal{A}(X)=
begin{bmatrix}1&0end{bmatrix}
X
begin{bmatrix}1\0end{bmatrix}
=X_{11}$

, so we solve for $X$:
$$
begin{align}
X&=begin{bmatrix}1\0end{bmatrix}
Bigg(begin{bmatrix}1&0end{bmatrix}
X
begin{bmatrix}1\0end{bmatrix}Bigg)
begin{bmatrix}1&0end{bmatrix}\
&=
begin{bmatrix}1\0end{bmatrix}
X_{11}
begin{bmatrix}1&0end{bmatrix}\
&=mathcal{A}^*(X_{11}).
end{align}$$



However, (coming from a physics background) this seems like we found the inverse $mathcal{A}^{-1}$, not $mathcal{A}^*$ the adjoint. From what I know (from physics), the adjoint of an operator is its (conjugate) transpose, which we would have derived by doing:
$$mathcal{A}^*(X_{11})=
begin{bmatrix}1&0end{bmatrix}^T
X_{11}
begin{bmatrix}1\0end{bmatrix}^T
=
begin{bmatrix}1\0end{bmatrix}
X_{11}
begin{bmatrix}1&0end{bmatrix}.
$$



Is either of these the correct way? I'm guessing it's probably the latter, and that here we happen to have $mathcal{A}^*=mathcal{A}^{-1}$, but I'm confused because I've never seen this done before, and I've also never seen a map/operator not represented just by a single matrix.










share|cite|improve this question






















  • The linear map is defined on vector space. In particular, if we choose orthonormal bases of both spaces, one can show that the matrix representations of $L^∗$ and $L$ are related by $[L^∗]=[L]^T$. You can read more about it here math.stackexchange.com/questions/1769834/…
    – Jimmy
    Nov 18 at 20:01















up vote
0
down vote

favorite









up vote
0
down vote

favorite











In my lecture notes, we have a linear map $mathcal{A}(X)=X_{11}$ that maps $Xin S^2$ to its first element. It then claims that $mathcal{A}^*(X_{11})=
begin{bmatrix}
X_{11}&0\
0&0
end{bmatrix}$
is the adjoint.



To me I understand it by $mathcal{A}(X)=
begin{bmatrix}1&0end{bmatrix}
X
begin{bmatrix}1\0end{bmatrix}
=X_{11}$

, so we solve for $X$:
$$
begin{align}
X&=begin{bmatrix}1\0end{bmatrix}
Bigg(begin{bmatrix}1&0end{bmatrix}
X
begin{bmatrix}1\0end{bmatrix}Bigg)
begin{bmatrix}1&0end{bmatrix}\
&=
begin{bmatrix}1\0end{bmatrix}
X_{11}
begin{bmatrix}1&0end{bmatrix}\
&=mathcal{A}^*(X_{11}).
end{align}$$



However, (coming from a physics background) this seems like we found the inverse $mathcal{A}^{-1}$, not $mathcal{A}^*$ the adjoint. From what I know (from physics), the adjoint of an operator is its (conjugate) transpose, which we would have derived by doing:
$$mathcal{A}^*(X_{11})=
begin{bmatrix}1&0end{bmatrix}^T
X_{11}
begin{bmatrix}1\0end{bmatrix}^T
=
begin{bmatrix}1\0end{bmatrix}
X_{11}
begin{bmatrix}1&0end{bmatrix}.
$$



Is either of these the correct way? I'm guessing it's probably the latter, and that here we happen to have $mathcal{A}^*=mathcal{A}^{-1}$, but I'm confused because I've never seen this done before, and I've also never seen a map/operator not represented just by a single matrix.










share|cite|improve this question













In my lecture notes, we have a linear map $mathcal{A}(X)=X_{11}$ that maps $Xin S^2$ to its first element. It then claims that $mathcal{A}^*(X_{11})=
begin{bmatrix}
X_{11}&0\
0&0
end{bmatrix}$
is the adjoint.



To me I understand it by $mathcal{A}(X)=
begin{bmatrix}1&0end{bmatrix}
X
begin{bmatrix}1\0end{bmatrix}
=X_{11}$

, so we solve for $X$:
$$
begin{align}
X&=begin{bmatrix}1\0end{bmatrix}
Bigg(begin{bmatrix}1&0end{bmatrix}
X
begin{bmatrix}1\0end{bmatrix}Bigg)
begin{bmatrix}1&0end{bmatrix}\
&=
begin{bmatrix}1\0end{bmatrix}
X_{11}
begin{bmatrix}1&0end{bmatrix}\
&=mathcal{A}^*(X_{11}).
end{align}$$



However, (coming from a physics background) this seems like we found the inverse $mathcal{A}^{-1}$, not $mathcal{A}^*$ the adjoint. From what I know (from physics), the adjoint of an operator is its (conjugate) transpose, which we would have derived by doing:
$$mathcal{A}^*(X_{11})=
begin{bmatrix}1&0end{bmatrix}^T
X_{11}
begin{bmatrix}1\0end{bmatrix}^T
=
begin{bmatrix}1\0end{bmatrix}
X_{11}
begin{bmatrix}1&0end{bmatrix}.
$$



Is either of these the correct way? I'm guessing it's probably the latter, and that here we happen to have $mathcal{A}^*=mathcal{A}^{-1}$, but I'm confused because I've never seen this done before, and I've also never seen a map/operator not represented just by a single matrix.







adjoint-operators






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asked Nov 18 at 19:53









Dan

153




153












  • The linear map is defined on vector space. In particular, if we choose orthonormal bases of both spaces, one can show that the matrix representations of $L^∗$ and $L$ are related by $[L^∗]=[L]^T$. You can read more about it here math.stackexchange.com/questions/1769834/…
    – Jimmy
    Nov 18 at 20:01




















  • The linear map is defined on vector space. In particular, if we choose orthonormal bases of both spaces, one can show that the matrix representations of $L^∗$ and $L$ are related by $[L^∗]=[L]^T$. You can read more about it here math.stackexchange.com/questions/1769834/…
    – Jimmy
    Nov 18 at 20:01


















The linear map is defined on vector space. In particular, if we choose orthonormal bases of both spaces, one can show that the matrix representations of $L^∗$ and $L$ are related by $[L^∗]=[L]^T$. You can read more about it here math.stackexchange.com/questions/1769834/…
– Jimmy
Nov 18 at 20:01






The linear map is defined on vector space. In particular, if we choose orthonormal bases of both spaces, one can show that the matrix representations of $L^∗$ and $L$ are related by $[L^∗]=[L]^T$. You can read more about it here math.stackexchange.com/questions/1769834/…
– Jimmy
Nov 18 at 20:01












1 Answer
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oldest

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up vote
0
down vote



accepted










I figured out the correct way to derive the answer. It is important to note (and something I forgot to mention above) that we are working with a trace inner product. We derive $mathcal{A}^*$ as follows:



$$
DeclareMathOperator{Tr}{Tr}
langle y,mathcal{A}(X)rangle
=langle mathcal{A}^*(y),Xrangle
=yX_{11}
=Trbig(mathcal{A}^*(y)Xbig)
=sum_{i,j} big(mathcal{A}^*(y)big)_{ij}X_{ij}
$$

Thus for a general $Xin S^2$, we must have that $mathcal{A}^*(y)=begin{bmatrix}y&0\0&0end{bmatrix}.$



I'm not $100$% certain about the other two ways I proposed, but this is the way to derive $mathcal{A}^*$ in general.






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    up vote
    0
    down vote



    accepted










    I figured out the correct way to derive the answer. It is important to note (and something I forgot to mention above) that we are working with a trace inner product. We derive $mathcal{A}^*$ as follows:



    $$
    DeclareMathOperator{Tr}{Tr}
    langle y,mathcal{A}(X)rangle
    =langle mathcal{A}^*(y),Xrangle
    =yX_{11}
    =Trbig(mathcal{A}^*(y)Xbig)
    =sum_{i,j} big(mathcal{A}^*(y)big)_{ij}X_{ij}
    $$

    Thus for a general $Xin S^2$, we must have that $mathcal{A}^*(y)=begin{bmatrix}y&0\0&0end{bmatrix}.$



    I'm not $100$% certain about the other two ways I proposed, but this is the way to derive $mathcal{A}^*$ in general.






    share|cite|improve this answer

























      up vote
      0
      down vote



      accepted










      I figured out the correct way to derive the answer. It is important to note (and something I forgot to mention above) that we are working with a trace inner product. We derive $mathcal{A}^*$ as follows:



      $$
      DeclareMathOperator{Tr}{Tr}
      langle y,mathcal{A}(X)rangle
      =langle mathcal{A}^*(y),Xrangle
      =yX_{11}
      =Trbig(mathcal{A}^*(y)Xbig)
      =sum_{i,j} big(mathcal{A}^*(y)big)_{ij}X_{ij}
      $$

      Thus for a general $Xin S^2$, we must have that $mathcal{A}^*(y)=begin{bmatrix}y&0\0&0end{bmatrix}.$



      I'm not $100$% certain about the other two ways I proposed, but this is the way to derive $mathcal{A}^*$ in general.






      share|cite|improve this answer























        up vote
        0
        down vote



        accepted







        up vote
        0
        down vote



        accepted






        I figured out the correct way to derive the answer. It is important to note (and something I forgot to mention above) that we are working with a trace inner product. We derive $mathcal{A}^*$ as follows:



        $$
        DeclareMathOperator{Tr}{Tr}
        langle y,mathcal{A}(X)rangle
        =langle mathcal{A}^*(y),Xrangle
        =yX_{11}
        =Trbig(mathcal{A}^*(y)Xbig)
        =sum_{i,j} big(mathcal{A}^*(y)big)_{ij}X_{ij}
        $$

        Thus for a general $Xin S^2$, we must have that $mathcal{A}^*(y)=begin{bmatrix}y&0\0&0end{bmatrix}.$



        I'm not $100$% certain about the other two ways I proposed, but this is the way to derive $mathcal{A}^*$ in general.






        share|cite|improve this answer












        I figured out the correct way to derive the answer. It is important to note (and something I forgot to mention above) that we are working with a trace inner product. We derive $mathcal{A}^*$ as follows:



        $$
        DeclareMathOperator{Tr}{Tr}
        langle y,mathcal{A}(X)rangle
        =langle mathcal{A}^*(y),Xrangle
        =yX_{11}
        =Trbig(mathcal{A}^*(y)Xbig)
        =sum_{i,j} big(mathcal{A}^*(y)big)_{ij}X_{ij}
        $$

        Thus for a general $Xin S^2$, we must have that $mathcal{A}^*(y)=begin{bmatrix}y&0\0&0end{bmatrix}.$



        I'm not $100$% certain about the other two ways I proposed, but this is the way to derive $mathcal{A}^*$ in general.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Nov 18 at 20:09









        Dan

        153




        153






























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