Trace norm inequality involving partial trace
Clash Royale CLAN TAG#URR8PPP
up vote
1
down vote
favorite
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?
operator-theory hilbert-spaces
add a comment |Â
up vote
1
down vote
favorite
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?
operator-theory hilbert-spaces
add a comment |Â
up vote
1
down vote
favorite
up vote
1
down vote
favorite
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?
operator-theory hilbert-spaces
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?
operator-theory hilbert-spaces
asked Aug 6 at 13:37
Gautam Shenoy
7,01211444
7,01211444
add a comment |Â
add a comment |Â
1 Answer
1
active
oldest
votes
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:
Every operator admits a polar decomposition $T=U|T|$ with $U$ unitary (or in infinite dimensions: $U$ partial isometry), so in particular $|U|=1,$.
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.)
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
add a comment |Â
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
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:
Every operator admits a polar decomposition $T=U|T|$ with $U$ unitary (or in infinite dimensions: $U$ partial isometry), so in particular $|U|=1,$.
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.)
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
add a comment |Â
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:
Every operator admits a polar decomposition $T=U|T|$ with $U$ unitary (or in infinite dimensions: $U$ partial isometry), so in particular $|U|=1,$.
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.)
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
add a comment |Â
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:
Every operator admits a polar decomposition $T=U|T|$ with $U$ unitary (or in infinite dimensions: $U$ partial isometry), so in particular $|U|=1,$.
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.)
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:
Every operator admits a polar decomposition $T=U|T|$ with $U$ unitary (or in infinite dimensions: $U$ partial isometry), so in particular $|U|=1,$.
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.)
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
add a comment |Â
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
add a comment |Â
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f2873878%2ftrace-norm-inequality-involving-partial-trace%23new-answer', 'question_page');
);
Post as a guest
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password