Given symmetric semidefinite matrix A and B, prove AB = 0 if and only if tr(AB)=0 [closed]











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Given $Ain S^{n}_{+}$ means that $A$ and $B$ are symmetric semidefinite matrix. Can we prove that $operatorname{tr}(AB)=0$ if and only if $AB=0$ ?










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closed as off-topic by LinAlg, amWhy, user10354138, Trevor Gunn, Gibbs Nov 16 at 23:39


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – LinAlg, amWhy, user10354138, Trevor Gunn, Gibbs

If this question can be reworded to fit the rules in the help center, please edit the question.

















    up vote
    0
    down vote

    favorite












    Given $Ain S^{n}_{+}$ means that $A$ and $B$ are symmetric semidefinite matrix. Can we prove that $operatorname{tr}(AB)=0$ if and only if $AB=0$ ?










    share|cite|improve this question















    closed as off-topic by LinAlg, amWhy, user10354138, Trevor Gunn, Gibbs Nov 16 at 23:39


    This question appears to be off-topic. The users who voted to close gave this specific reason:


    • "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – LinAlg, amWhy, user10354138, Trevor Gunn, Gibbs

    If this question can be reworded to fit the rules in the help center, please edit the question.















      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      Given $Ain S^{n}_{+}$ means that $A$ and $B$ are symmetric semidefinite matrix. Can we prove that $operatorname{tr}(AB)=0$ if and only if $AB=0$ ?










      share|cite|improve this question















      Given $Ain S^{n}_{+}$ means that $A$ and $B$ are symmetric semidefinite matrix. Can we prove that $operatorname{tr}(AB)=0$ if and only if $AB=0$ ?







      linear-algebra trace






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      edited Nov 16 at 15:22









      Davide Giraudo

      124k16149253




      124k16149253










      asked Nov 16 at 1:41









      Yu Lin

      62




      62




      closed as off-topic by LinAlg, amWhy, user10354138, Trevor Gunn, Gibbs Nov 16 at 23:39


      This question appears to be off-topic. The users who voted to close gave this specific reason:


      • "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – LinAlg, amWhy, user10354138, Trevor Gunn, Gibbs

      If this question can be reworded to fit the rules in the help center, please edit the question.




      closed as off-topic by LinAlg, amWhy, user10354138, Trevor Gunn, Gibbs Nov 16 at 23:39


      This question appears to be off-topic. The users who voted to close gave this specific reason:


      • "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – LinAlg, amWhy, user10354138, Trevor Gunn, Gibbs

      If this question can be reworded to fit the rules in the help center, please edit the question.






















          3 Answers
          3






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          up vote
          2
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          accepted










          Hint: $operatorname{tr}(AB)=operatorname{tr}(B^{1/2}AB^{1/2})$ and $B^{1/2}AB^{1/2}=left(A^{1/2}B^{1/2}right)^astleft(A^{1/2}B^{1/2}right)$ is positive semidefinite.






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            up vote
            0
            down vote













            See it if any confusion please ask https://i.stack.imgur.com/TxtTb.jpg
            A is diagonal matrix of the form A = diag(a1, . . . , an), a1 ≥ . . . ≥ an ≥ 0.






            share|cite|improve this answer





















            • I am a bit confused, why A is a diagonal matrix?
              – Yu Lin
              Nov 16 at 2:15










            • This is very elementary see your question and proof. Think it yourself.
              – John Nash
              Nov 16 at 2:32


















            up vote
            0
            down vote













            You have to know the following results:





            1. $tr(AB)=tr(BA)$ - trace commute in blocks

            2. Any symmetric matrix is diagonalizable

            3. A symmetric matrix is positive-semidefinite $iff$ all its eigenvalues are $geq 0$


            Well, $AB=0 implies tr(AB)=0$ its trivial.



            Then for the converse, you can use 1.2.3. to understand why the hint given by @user1551 helps you!






            share|cite|improve this answer




























              3 Answers
              3






              active

              oldest

              votes








              3 Answers
              3






              active

              oldest

              votes









              active

              oldest

              votes






              active

              oldest

              votes








              up vote
              2
              down vote



              accepted










              Hint: $operatorname{tr}(AB)=operatorname{tr}(B^{1/2}AB^{1/2})$ and $B^{1/2}AB^{1/2}=left(A^{1/2}B^{1/2}right)^astleft(A^{1/2}B^{1/2}right)$ is positive semidefinite.






              share|cite|improve this answer



























                up vote
                2
                down vote



                accepted










                Hint: $operatorname{tr}(AB)=operatorname{tr}(B^{1/2}AB^{1/2})$ and $B^{1/2}AB^{1/2}=left(A^{1/2}B^{1/2}right)^astleft(A^{1/2}B^{1/2}right)$ is positive semidefinite.






                share|cite|improve this answer

























                  up vote
                  2
                  down vote



                  accepted







                  up vote
                  2
                  down vote



                  accepted






                  Hint: $operatorname{tr}(AB)=operatorname{tr}(B^{1/2}AB^{1/2})$ and $B^{1/2}AB^{1/2}=left(A^{1/2}B^{1/2}right)^astleft(A^{1/2}B^{1/2}right)$ is positive semidefinite.






                  share|cite|improve this answer














                  Hint: $operatorname{tr}(AB)=operatorname{tr}(B^{1/2}AB^{1/2})$ and $B^{1/2}AB^{1/2}=left(A^{1/2}B^{1/2}right)^astleft(A^{1/2}B^{1/2}right)$ is positive semidefinite.







                  share|cite|improve this answer














                  share|cite|improve this answer



                  share|cite|improve this answer








                  edited Nov 16 at 2:08

























                  answered Nov 16 at 1:46









                  user1551

                  70.3k566125




                  70.3k566125






















                      up vote
                      0
                      down vote













                      See it if any confusion please ask https://i.stack.imgur.com/TxtTb.jpg
                      A is diagonal matrix of the form A = diag(a1, . . . , an), a1 ≥ . . . ≥ an ≥ 0.






                      share|cite|improve this answer





















                      • I am a bit confused, why A is a diagonal matrix?
                        – Yu Lin
                        Nov 16 at 2:15










                      • This is very elementary see your question and proof. Think it yourself.
                        – John Nash
                        Nov 16 at 2:32















                      up vote
                      0
                      down vote













                      See it if any confusion please ask https://i.stack.imgur.com/TxtTb.jpg
                      A is diagonal matrix of the form A = diag(a1, . . . , an), a1 ≥ . . . ≥ an ≥ 0.






                      share|cite|improve this answer





















                      • I am a bit confused, why A is a diagonal matrix?
                        – Yu Lin
                        Nov 16 at 2:15










                      • This is very elementary see your question and proof. Think it yourself.
                        – John Nash
                        Nov 16 at 2:32













                      up vote
                      0
                      down vote










                      up vote
                      0
                      down vote









                      See it if any confusion please ask https://i.stack.imgur.com/TxtTb.jpg
                      A is diagonal matrix of the form A = diag(a1, . . . , an), a1 ≥ . . . ≥ an ≥ 0.






                      share|cite|improve this answer












                      See it if any confusion please ask https://i.stack.imgur.com/TxtTb.jpg
                      A is diagonal matrix of the form A = diag(a1, . . . , an), a1 ≥ . . . ≥ an ≥ 0.







                      share|cite|improve this answer












                      share|cite|improve this answer



                      share|cite|improve this answer










                      answered Nov 16 at 2:06









                      John Nash

                      6218




                      6218












                      • I am a bit confused, why A is a diagonal matrix?
                        – Yu Lin
                        Nov 16 at 2:15










                      • This is very elementary see your question and proof. Think it yourself.
                        – John Nash
                        Nov 16 at 2:32


















                      • I am a bit confused, why A is a diagonal matrix?
                        – Yu Lin
                        Nov 16 at 2:15










                      • This is very elementary see your question and proof. Think it yourself.
                        – John Nash
                        Nov 16 at 2:32
















                      I am a bit confused, why A is a diagonal matrix?
                      – Yu Lin
                      Nov 16 at 2:15




                      I am a bit confused, why A is a diagonal matrix?
                      – Yu Lin
                      Nov 16 at 2:15












                      This is very elementary see your question and proof. Think it yourself.
                      – John Nash
                      Nov 16 at 2:32




                      This is very elementary see your question and proof. Think it yourself.
                      – John Nash
                      Nov 16 at 2:32










                      up vote
                      0
                      down vote













                      You have to know the following results:





                      1. $tr(AB)=tr(BA)$ - trace commute in blocks

                      2. Any symmetric matrix is diagonalizable

                      3. A symmetric matrix is positive-semidefinite $iff$ all its eigenvalues are $geq 0$


                      Well, $AB=0 implies tr(AB)=0$ its trivial.



                      Then for the converse, you can use 1.2.3. to understand why the hint given by @user1551 helps you!






                      share|cite|improve this answer

























                        up vote
                        0
                        down vote













                        You have to know the following results:





                        1. $tr(AB)=tr(BA)$ - trace commute in blocks

                        2. Any symmetric matrix is diagonalizable

                        3. A symmetric matrix is positive-semidefinite $iff$ all its eigenvalues are $geq 0$


                        Well, $AB=0 implies tr(AB)=0$ its trivial.



                        Then for the converse, you can use 1.2.3. to understand why the hint given by @user1551 helps you!






                        share|cite|improve this answer























                          up vote
                          0
                          down vote










                          up vote
                          0
                          down vote









                          You have to know the following results:





                          1. $tr(AB)=tr(BA)$ - trace commute in blocks

                          2. Any symmetric matrix is diagonalizable

                          3. A symmetric matrix is positive-semidefinite $iff$ all its eigenvalues are $geq 0$


                          Well, $AB=0 implies tr(AB)=0$ its trivial.



                          Then for the converse, you can use 1.2.3. to understand why the hint given by @user1551 helps you!






                          share|cite|improve this answer












                          You have to know the following results:





                          1. $tr(AB)=tr(BA)$ - trace commute in blocks

                          2. Any symmetric matrix is diagonalizable

                          3. A symmetric matrix is positive-semidefinite $iff$ all its eigenvalues are $geq 0$


                          Well, $AB=0 implies tr(AB)=0$ its trivial.



                          Then for the converse, you can use 1.2.3. to understand why the hint given by @user1551 helps you!







                          share|cite|improve this answer












                          share|cite|improve this answer



                          share|cite|improve this answer










                          answered Nov 16 at 2:22









                          Robson

                          725221




                          725221















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