State space of finite dimensional, abelian C*-algebra is a simplex.

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I am looking for a proof that the state space of a finite dimensional C*-algebra is a simplex and, vice versa, if the state space is a simplex, the C*-algebra is abelian. I've found one proof, but it involves representations and the GNS construction, which is way beyond the scope of what I need.



I was hoping that because I only need the result in finite dimensions, there would be a simple proof. Does anyone have an idea?







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    up vote
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    down vote

    favorite
    1












    I am looking for a proof that the state space of a finite dimensional C*-algebra is a simplex and, vice versa, if the state space is a simplex, the C*-algebra is abelian. I've found one proof, but it involves representations and the GNS construction, which is way beyond the scope of what I need.



    I was hoping that because I only need the result in finite dimensions, there would be a simple proof. Does anyone have an idea?







    share|cite|improve this question





















      up vote
      3
      down vote

      favorite
      1









      up vote
      3
      down vote

      favorite
      1






      1





      I am looking for a proof that the state space of a finite dimensional C*-algebra is a simplex and, vice versa, if the state space is a simplex, the C*-algebra is abelian. I've found one proof, but it involves representations and the GNS construction, which is way beyond the scope of what I need.



      I was hoping that because I only need the result in finite dimensions, there would be a simple proof. Does anyone have an idea?







      share|cite|improve this question











      I am looking for a proof that the state space of a finite dimensional C*-algebra is a simplex and, vice versa, if the state space is a simplex, the C*-algebra is abelian. I've found one proof, but it involves representations and the GNS construction, which is way beyond the scope of what I need.



      I was hoping that because I only need the result in finite dimensions, there would be a simple proof. Does anyone have an idea?









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      share|cite|improve this question




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      asked Jul 31 at 15:53









      user353840

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          For the finite-dimensional case:



          You have $mathcal A=bigoplus_k=1^m M_n_k(mathbb C)subset M_n(mathbb C)$, where $n=n_1+cdots+n_m$.



          • Any linear functional on $mathcal A$ is of the form $f(X)=sum_k,jbeta_k,jX_k,j$. This is precisely $$f(X)=operatornameTr(BX),$$ where $B=[beta_k,j]$. We may assume that $Bin mathcal A$.


          • If $f$ is a state, it follows that $Bgeq0$, $operatornameTr(B)=1$.


          • Within this picture, one can show that the pure states (the extreme points of the state space) are given by the rank-one projections. If $n_kgeq 2$ for at least one index, then there are uncountably many of them.


          When $mathcal A$ is abelian, $n_1=cdots=n_m=1$, and there are finitely many rank-one projections. Namely, $mathcal A=mathbb C^n$, and the pure states are given by the canonical basis (so, for instance, $mathbb C^2$ has the pure state $(1,0)$ and $(0,1)$).



          If the state space is a simplex (finitely many pure states), then $mathcal A$ is (finite-dimensional and) abelian. First because the pure states separate points (because the states do); if $mathcal A$ is infinite-dimensional, there exists an infinite linearly independent set; and so one needs enough pure states to distinguish infinitely many distinct linear combinations. Once we know that $mathcal A$ is finite-dimensional, by the bullets above the only way to have finitely many pure states is to have $n_1=cdots=n_m=1$, so $mathcal A$ is abelian.






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            1 Answer
            1






            active

            oldest

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            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes








            up vote
            2
            down vote



            accepted










            For the finite-dimensional case:



            You have $mathcal A=bigoplus_k=1^m M_n_k(mathbb C)subset M_n(mathbb C)$, where $n=n_1+cdots+n_m$.



            • Any linear functional on $mathcal A$ is of the form $f(X)=sum_k,jbeta_k,jX_k,j$. This is precisely $$f(X)=operatornameTr(BX),$$ where $B=[beta_k,j]$. We may assume that $Bin mathcal A$.


            • If $f$ is a state, it follows that $Bgeq0$, $operatornameTr(B)=1$.


            • Within this picture, one can show that the pure states (the extreme points of the state space) are given by the rank-one projections. If $n_kgeq 2$ for at least one index, then there are uncountably many of them.


            When $mathcal A$ is abelian, $n_1=cdots=n_m=1$, and there are finitely many rank-one projections. Namely, $mathcal A=mathbb C^n$, and the pure states are given by the canonical basis (so, for instance, $mathbb C^2$ has the pure state $(1,0)$ and $(0,1)$).



            If the state space is a simplex (finitely many pure states), then $mathcal A$ is (finite-dimensional and) abelian. First because the pure states separate points (because the states do); if $mathcal A$ is infinite-dimensional, there exists an infinite linearly independent set; and so one needs enough pure states to distinguish infinitely many distinct linear combinations. Once we know that $mathcal A$ is finite-dimensional, by the bullets above the only way to have finitely many pure states is to have $n_1=cdots=n_m=1$, so $mathcal A$ is abelian.






            share|cite|improve this answer

























              up vote
              2
              down vote



              accepted










              For the finite-dimensional case:



              You have $mathcal A=bigoplus_k=1^m M_n_k(mathbb C)subset M_n(mathbb C)$, where $n=n_1+cdots+n_m$.



              • Any linear functional on $mathcal A$ is of the form $f(X)=sum_k,jbeta_k,jX_k,j$. This is precisely $$f(X)=operatornameTr(BX),$$ where $B=[beta_k,j]$. We may assume that $Bin mathcal A$.


              • If $f$ is a state, it follows that $Bgeq0$, $operatornameTr(B)=1$.


              • Within this picture, one can show that the pure states (the extreme points of the state space) are given by the rank-one projections. If $n_kgeq 2$ for at least one index, then there are uncountably many of them.


              When $mathcal A$ is abelian, $n_1=cdots=n_m=1$, and there are finitely many rank-one projections. Namely, $mathcal A=mathbb C^n$, and the pure states are given by the canonical basis (so, for instance, $mathbb C^2$ has the pure state $(1,0)$ and $(0,1)$).



              If the state space is a simplex (finitely many pure states), then $mathcal A$ is (finite-dimensional and) abelian. First because the pure states separate points (because the states do); if $mathcal A$ is infinite-dimensional, there exists an infinite linearly independent set; and so one needs enough pure states to distinguish infinitely many distinct linear combinations. Once we know that $mathcal A$ is finite-dimensional, by the bullets above the only way to have finitely many pure states is to have $n_1=cdots=n_m=1$, so $mathcal A$ is abelian.






              share|cite|improve this answer























                up vote
                2
                down vote



                accepted







                up vote
                2
                down vote



                accepted






                For the finite-dimensional case:



                You have $mathcal A=bigoplus_k=1^m M_n_k(mathbb C)subset M_n(mathbb C)$, where $n=n_1+cdots+n_m$.



                • Any linear functional on $mathcal A$ is of the form $f(X)=sum_k,jbeta_k,jX_k,j$. This is precisely $$f(X)=operatornameTr(BX),$$ where $B=[beta_k,j]$. We may assume that $Bin mathcal A$.


                • If $f$ is a state, it follows that $Bgeq0$, $operatornameTr(B)=1$.


                • Within this picture, one can show that the pure states (the extreme points of the state space) are given by the rank-one projections. If $n_kgeq 2$ for at least one index, then there are uncountably many of them.


                When $mathcal A$ is abelian, $n_1=cdots=n_m=1$, and there are finitely many rank-one projections. Namely, $mathcal A=mathbb C^n$, and the pure states are given by the canonical basis (so, for instance, $mathbb C^2$ has the pure state $(1,0)$ and $(0,1)$).



                If the state space is a simplex (finitely many pure states), then $mathcal A$ is (finite-dimensional and) abelian. First because the pure states separate points (because the states do); if $mathcal A$ is infinite-dimensional, there exists an infinite linearly independent set; and so one needs enough pure states to distinguish infinitely many distinct linear combinations. Once we know that $mathcal A$ is finite-dimensional, by the bullets above the only way to have finitely many pure states is to have $n_1=cdots=n_m=1$, so $mathcal A$ is abelian.






                share|cite|improve this answer













                For the finite-dimensional case:



                You have $mathcal A=bigoplus_k=1^m M_n_k(mathbb C)subset M_n(mathbb C)$, where $n=n_1+cdots+n_m$.



                • Any linear functional on $mathcal A$ is of the form $f(X)=sum_k,jbeta_k,jX_k,j$. This is precisely $$f(X)=operatornameTr(BX),$$ where $B=[beta_k,j]$. We may assume that $Bin mathcal A$.


                • If $f$ is a state, it follows that $Bgeq0$, $operatornameTr(B)=1$.


                • Within this picture, one can show that the pure states (the extreme points of the state space) are given by the rank-one projections. If $n_kgeq 2$ for at least one index, then there are uncountably many of them.


                When $mathcal A$ is abelian, $n_1=cdots=n_m=1$, and there are finitely many rank-one projections. Namely, $mathcal A=mathbb C^n$, and the pure states are given by the canonical basis (so, for instance, $mathbb C^2$ has the pure state $(1,0)$ and $(0,1)$).



                If the state space is a simplex (finitely many pure states), then $mathcal A$ is (finite-dimensional and) abelian. First because the pure states separate points (because the states do); if $mathcal A$ is infinite-dimensional, there exists an infinite linearly independent set; and so one needs enough pure states to distinguish infinitely many distinct linear combinations. Once we know that $mathcal A$ is finite-dimensional, by the bullets above the only way to have finitely many pure states is to have $n_1=cdots=n_m=1$, so $mathcal A$ is abelian.







                share|cite|improve this answer













                share|cite|improve this answer



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                answered Jul 31 at 19:31









                Martin Argerami

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