Trace norm inequality involving partial trace

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While reading Holevo's book on Quantum information, I saw the following result: For any bounded operator $T in mathcalB(H_A otimes H_B)$, where $H_A$ and $H_B$ are Hilbert spaces with finite dimension, we have
$$|Tr_B(T)|_1 leq |T|_1$$
where $Tr_B(T)$ is the partial trace (see this for the definition in Holevo) of $T$ with respect to $H_B$. The norm here is the Trace norm defined as $|T|_1 = Tr(|T|) = Tr(sqrtT^*T)$.



My approach was to first show that for any operator $T$, $Tr(T) = Tr(Tr_B(T))$ and then to show $Tr_B(|T|)geq |Tr_B(T)|$ (operator inequality). From definition, I was able to show the first part easily. But the second part, which is like a Jensen inequality was elusive. Also I'm not sure if it is true but it does hold for regular trace i.e., $Tr(|T|)geq |Tr(T)|$.



Starting with the definition does not seem to help as I do not know how to work with $|Tr_B(T)|$. Could someone throw some light on this? (I appreciate hints as well as a proof if possible) Also is there an alternate, more useful way to define partial trace?







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    While reading Holevo's book on Quantum information, I saw the following result: For any bounded operator $T in mathcalB(H_A otimes H_B)$, where $H_A$ and $H_B$ are Hilbert spaces with finite dimension, we have
    $$|Tr_B(T)|_1 leq |T|_1$$
    where $Tr_B(T)$ is the partial trace (see this for the definition in Holevo) of $T$ with respect to $H_B$. The norm here is the Trace norm defined as $|T|_1 = Tr(|T|) = Tr(sqrtT^*T)$.



    My approach was to first show that for any operator $T$, $Tr(T) = Tr(Tr_B(T))$ and then to show $Tr_B(|T|)geq |Tr_B(T)|$ (operator inequality). From definition, I was able to show the first part easily. But the second part, which is like a Jensen inequality was elusive. Also I'm not sure if it is true but it does hold for regular trace i.e., $Tr(|T|)geq |Tr(T)|$.



    Starting with the definition does not seem to help as I do not know how to work with $|Tr_B(T)|$. Could someone throw some light on this? (I appreciate hints as well as a proof if possible) Also is there an alternate, more useful way to define partial trace?







    share|cite|improve this question





















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      While reading Holevo's book on Quantum information, I saw the following result: For any bounded operator $T in mathcalB(H_A otimes H_B)$, where $H_A$ and $H_B$ are Hilbert spaces with finite dimension, we have
      $$|Tr_B(T)|_1 leq |T|_1$$
      where $Tr_B(T)$ is the partial trace (see this for the definition in Holevo) of $T$ with respect to $H_B$. The norm here is the Trace norm defined as $|T|_1 = Tr(|T|) = Tr(sqrtT^*T)$.



      My approach was to first show that for any operator $T$, $Tr(T) = Tr(Tr_B(T))$ and then to show $Tr_B(|T|)geq |Tr_B(T)|$ (operator inequality). From definition, I was able to show the first part easily. But the second part, which is like a Jensen inequality was elusive. Also I'm not sure if it is true but it does hold for regular trace i.e., $Tr(|T|)geq |Tr(T)|$.



      Starting with the definition does not seem to help as I do not know how to work with $|Tr_B(T)|$. Could someone throw some light on this? (I appreciate hints as well as a proof if possible) Also is there an alternate, more useful way to define partial trace?







      share|cite|improve this question











      While reading Holevo's book on Quantum information, I saw the following result: For any bounded operator $T in mathcalB(H_A otimes H_B)$, where $H_A$ and $H_B$ are Hilbert spaces with finite dimension, we have
      $$|Tr_B(T)|_1 leq |T|_1$$
      where $Tr_B(T)$ is the partial trace (see this for the definition in Holevo) of $T$ with respect to $H_B$. The norm here is the Trace norm defined as $|T|_1 = Tr(|T|) = Tr(sqrtT^*T)$.



      My approach was to first show that for any operator $T$, $Tr(T) = Tr(Tr_B(T))$ and then to show $Tr_B(|T|)geq |Tr_B(T)|$ (operator inequality). From definition, I was able to show the first part easily. But the second part, which is like a Jensen inequality was elusive. Also I'm not sure if it is true but it does hold for regular trace i.e., $Tr(|T|)geq |Tr(T)|$.



      Starting with the definition does not seem to help as I do not know how to work with $|Tr_B(T)|$. Could someone throw some light on this? (I appreciate hints as well as a proof if possible) Also is there an alternate, more useful way to define partial trace?









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      asked Aug 6 at 13:37









      Gautam Shenoy

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          The proof I know uses the partial trace definition via the trace, e.g. for $Tinmathcal B_1(mathcal H_Aotimesmathcal H_B)$ now $operatornametr_B(T)$ is the unique operator such that $$operatornametr(operatornametr_B(T)X)=operatornametr(T(Xotimesmathbb 1_B))$$ for all $Xinmathcal B(mathcal H_A)$. ($mathcal B_1$ is the trace class but no worries, in finite dimensions this is the same as $mathcal B$)
          The key observations are the following:



          1. Every operator admits a polar decomposition $T=U|T|$ with $U$ unitary (or in infinite dimensions: $U$ partial isometry), so in particular $|U|=1,$.


          2. For any $Xinmathcal B_1(mathcal H),Yinmathcal B(mathcal H)$ one has $|operatornametr(XY)|leq |X|_1|Y|,$.


          The rest is simple as now there exists a unitary matrix $U$, such that



          $$
          |operatornametr_B(T)|_1=operatornametr(|operatornametr_B(T)|)=operatornametr(Uoperatornametr_B(T))=operatornametr((Uotimesmathbb 1_B)T)leq |T|_1underbrace_mathbb 1_B=|T|_1,.
          $$



          (Side note that $operatornametr((Uotimesmathbb 1_B)T)=|operatornametr((Uotimesmathbb 1_B)T)|$ (non-negative) as we showed that it equals $|operatornametr_B(T)|_1$, so we can actually use the above trace inequality.)






          share|cite|improve this answer

















          • 1




            Superb explanation. I had gotten to the polar decomposition part but for some reason i didnt think of applying the trace inequality. Thanks.
            – Gautam Shenoy
            Aug 7 at 6:19










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          The proof I know uses the partial trace definition via the trace, e.g. for $Tinmathcal B_1(mathcal H_Aotimesmathcal H_B)$ now $operatornametr_B(T)$ is the unique operator such that $$operatornametr(operatornametr_B(T)X)=operatornametr(T(Xotimesmathbb 1_B))$$ for all $Xinmathcal B(mathcal H_A)$. ($mathcal B_1$ is the trace class but no worries, in finite dimensions this is the same as $mathcal B$)
          The key observations are the following:



          1. Every operator admits a polar decomposition $T=U|T|$ with $U$ unitary (or in infinite dimensions: $U$ partial isometry), so in particular $|U|=1,$.


          2. For any $Xinmathcal B_1(mathcal H),Yinmathcal B(mathcal H)$ one has $|operatornametr(XY)|leq |X|_1|Y|,$.


          The rest is simple as now there exists a unitary matrix $U$, such that



          $$
          |operatornametr_B(T)|_1=operatornametr(|operatornametr_B(T)|)=operatornametr(Uoperatornametr_B(T))=operatornametr((Uotimesmathbb 1_B)T)leq |T|_1underbrace_mathbb 1_B=|T|_1,.
          $$



          (Side note that $operatornametr((Uotimesmathbb 1_B)T)=|operatornametr((Uotimesmathbb 1_B)T)|$ (non-negative) as we showed that it equals $|operatornametr_B(T)|_1$, so we can actually use the above trace inequality.)






          share|cite|improve this answer

















          • 1




            Superb explanation. I had gotten to the polar decomposition part but for some reason i didnt think of applying the trace inequality. Thanks.
            – Gautam Shenoy
            Aug 7 at 6:19














          up vote
          1
          down vote



          accepted










          The proof I know uses the partial trace definition via the trace, e.g. for $Tinmathcal B_1(mathcal H_Aotimesmathcal H_B)$ now $operatornametr_B(T)$ is the unique operator such that $$operatornametr(operatornametr_B(T)X)=operatornametr(T(Xotimesmathbb 1_B))$$ for all $Xinmathcal B(mathcal H_A)$. ($mathcal B_1$ is the trace class but no worries, in finite dimensions this is the same as $mathcal B$)
          The key observations are the following:



          1. Every operator admits a polar decomposition $T=U|T|$ with $U$ unitary (or in infinite dimensions: $U$ partial isometry), so in particular $|U|=1,$.


          2. For any $Xinmathcal B_1(mathcal H),Yinmathcal B(mathcal H)$ one has $|operatornametr(XY)|leq |X|_1|Y|,$.


          The rest is simple as now there exists a unitary matrix $U$, such that



          $$
          |operatornametr_B(T)|_1=operatornametr(|operatornametr_B(T)|)=operatornametr(Uoperatornametr_B(T))=operatornametr((Uotimesmathbb 1_B)T)leq |T|_1underbrace_mathbb 1_B=|T|_1,.
          $$



          (Side note that $operatornametr((Uotimesmathbb 1_B)T)=|operatornametr((Uotimesmathbb 1_B)T)|$ (non-negative) as we showed that it equals $|operatornametr_B(T)|_1$, so we can actually use the above trace inequality.)






          share|cite|improve this answer

















          • 1




            Superb explanation. I had gotten to the polar decomposition part but for some reason i didnt think of applying the trace inequality. Thanks.
            – Gautam Shenoy
            Aug 7 at 6:19












          up vote
          1
          down vote



          accepted







          up vote
          1
          down vote



          accepted






          The proof I know uses the partial trace definition via the trace, e.g. for $Tinmathcal B_1(mathcal H_Aotimesmathcal H_B)$ now $operatornametr_B(T)$ is the unique operator such that $$operatornametr(operatornametr_B(T)X)=operatornametr(T(Xotimesmathbb 1_B))$$ for all $Xinmathcal B(mathcal H_A)$. ($mathcal B_1$ is the trace class but no worries, in finite dimensions this is the same as $mathcal B$)
          The key observations are the following:



          1. Every operator admits a polar decomposition $T=U|T|$ with $U$ unitary (or in infinite dimensions: $U$ partial isometry), so in particular $|U|=1,$.


          2. For any $Xinmathcal B_1(mathcal H),Yinmathcal B(mathcal H)$ one has $|operatornametr(XY)|leq |X|_1|Y|,$.


          The rest is simple as now there exists a unitary matrix $U$, such that



          $$
          |operatornametr_B(T)|_1=operatornametr(|operatornametr_B(T)|)=operatornametr(Uoperatornametr_B(T))=operatornametr((Uotimesmathbb 1_B)T)leq |T|_1underbrace_mathbb 1_B=|T|_1,.
          $$



          (Side note that $operatornametr((Uotimesmathbb 1_B)T)=|operatornametr((Uotimesmathbb 1_B)T)|$ (non-negative) as we showed that it equals $|operatornametr_B(T)|_1$, so we can actually use the above trace inequality.)






          share|cite|improve this answer













          The proof I know uses the partial trace definition via the trace, e.g. for $Tinmathcal B_1(mathcal H_Aotimesmathcal H_B)$ now $operatornametr_B(T)$ is the unique operator such that $$operatornametr(operatornametr_B(T)X)=operatornametr(T(Xotimesmathbb 1_B))$$ for all $Xinmathcal B(mathcal H_A)$. ($mathcal B_1$ is the trace class but no worries, in finite dimensions this is the same as $mathcal B$)
          The key observations are the following:



          1. Every operator admits a polar decomposition $T=U|T|$ with $U$ unitary (or in infinite dimensions: $U$ partial isometry), so in particular $|U|=1,$.


          2. For any $Xinmathcal B_1(mathcal H),Yinmathcal B(mathcal H)$ one has $|operatornametr(XY)|leq |X|_1|Y|,$.


          The rest is simple as now there exists a unitary matrix $U$, such that



          $$
          |operatornametr_B(T)|_1=operatornametr(|operatornametr_B(T)|)=operatornametr(Uoperatornametr_B(T))=operatornametr((Uotimesmathbb 1_B)T)leq |T|_1underbrace_mathbb 1_B=|T|_1,.
          $$



          (Side note that $operatornametr((Uotimesmathbb 1_B)T)=|operatornametr((Uotimesmathbb 1_B)T)|$ (non-negative) as we showed that it equals $|operatornametr_B(T)|_1$, so we can actually use the above trace inequality.)







          share|cite|improve this answer













          share|cite|improve this answer



          share|cite|improve this answer











          answered Aug 6 at 19:53









          Frederik vom Ende

          4081119




          4081119







          • 1




            Superb explanation. I had gotten to the polar decomposition part but for some reason i didnt think of applying the trace inequality. Thanks.
            – Gautam Shenoy
            Aug 7 at 6:19












          • 1




            Superb explanation. I had gotten to the polar decomposition part but for some reason i didnt think of applying the trace inequality. Thanks.
            – Gautam Shenoy
            Aug 7 at 6:19







          1




          1




          Superb explanation. I had gotten to the polar decomposition part but for some reason i didnt think of applying the trace inequality. Thanks.
          – Gautam Shenoy
          Aug 7 at 6:19




          Superb explanation. I had gotten to the polar decomposition part but for some reason i didnt think of applying the trace inequality. Thanks.
          – Gautam Shenoy
          Aug 7 at 6:19












           

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