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I'd like to show that, given to hermitian operators $A,G$ on a Hilbert space $\mathscr{H}$, the following identity holds: $$ e^{iG\lambda}A e^{-iG\lambda} = A + i\lambda [G,A] + \frac{\left(i\lambda\right)^2}{2!}[G,[G,A]]+\ldots+\frac{(i\lambda)^n}{n!}\underbrace{[G,[G,[G,\ldots[G}_{n\ times},A]]]\ldots]+\ldots $$ where $\lambda$ denotes a real parameter and $[\ \!,]$ indicates the commutator.

This is a proof left to the reader by Sakurai in his books on Modern Quantum Mechanics.

Brightsun
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    alternatively, if $f(\lambda) = e^{iG\lambda}Ae^{-iG\lambda}$ then look at the Taylor expansion; $f(0)+f'(0)\lambda+\frac{1}{2}\lambda^2f''(0)+ \cdots$ . Note, $f(0)=A$, $f'(0)=iGA-iAG =i[G,A]$ etc... I think I worked this out from Greiner's Quantum Mechanics and symmetries text. Anyway, nice work! +1 – James S. Cook Mar 14 '14 at 07:24
  • Thanks, I hadn't thought of that. It may prove useful in the future, perhaps I will try to show it that way as well... – Brightsun Mar 14 '14 at 08:41
  • You can also see, with $L_B$ the left multiplication with $B$, $R_B$ the right and $\mathrm{ad_B}(A):=[B,A]=(L_B-R_B)(A)$, that $L_B, R_B$ commute and then: $$\exp(B)A\exp(-B)=\left(\exp(R_{-B})\exp(L_B)\right)(A)=\exp(L_B-R_B)(A)=\exp(\mathrm{ad_B})(A)\ =A+[B,A]+1/2[B,[B,A]]+1/6[B,[B,[B,A]]]+....$$ of course this proof, like yours, needs all operators to be bounded. This certainly is not the case in most applications of Quantum mechanics! Of course, this proof is also incredibly short. – s.harp Nov 20 '16 at 18:59
  • @s.harp I am not sure on how we justify the first equal sign in your proof: $e^B A e^{-B} = e^{R_{-B}}e^{L_B} A$. The other steps are clear and quite clever though. – Brightsun Nov 22 '16 at 09:09
  • $\exp(B)A=\sum_n \frac{B^nA}{n!}=\sum_n\frac{L_B^n(A)}{n!}\overset=\left(\sum_n\frac{L_B^n}{n!}\right) (A)=\exp(L_B)(A)$. $L_B$ is a bounded linear map $L(\mathcal H)\to L(\mathcal H)$, so $\exp(L_B)$ exists as the norm limit of the sum (since norm convergence implies SOT convergence, $$ is true). Do the same with $A\exp(-B)=\exp(R_{-B})(A)$ and then use that $R_{-B}$ and $L_B$ commute. – s.harp Nov 22 '16 at 10:27
  • @s.harp Very nice, thanks! – Brightsun Nov 22 '16 at 10:44
  • This is often called "Hadamard's Lemma": http://www.physicspages.com/pdf/Shankar/Shankar%20Exercises%2001.09.05%20Exponentials%20of%20operators%20-%20Hadamard%20lemma.pdf , https://ocw.mit.edu/courses/physics/8-05-quantum-physics-ii-fall-2013/assignments/MIT8_05F13_ps4.pdf , http://webhome.phy.duke.edu/~mehen/760/ProblemSets/BCH.pdf – Nike Dattani Nov 24 '18 at 04:04
  • And this: http://ugspace.ug.edu.gh/bitstream/handle/123456789/22997/A%20study%20of%20the%20derivation%20of%20a%20known%20inequality%20for%20spectral%20functions%20of%20products%20of%20exponentials%20using%20the%20Campbell-Baker-Hausdor%20%20formula.pdf?sequence=1 – Nike Dattani Nov 24 '18 at 04:05

3 Answers3

26

Using the series definition of exponential:

$$ e^{iG\lambda}A e^{-iG\lambda} = \sum_{p=0}^\infty\frac{(iG\lambda)^p}{p!}A\sum_{q=0}^\infty\frac{(-iG\lambda)^q}{q!} = \sum_{p=0}^\infty\sum_{q=0}^\infty(-)^q\frac{(i\lambda)^{p+q}}{p!q!}G^pAG^q=\\ \sum_{s=0}^\infty\sum_{d=0}^s(-)^d\frac{(i\lambda)^s}{d!(s-d)!}G^{s-d}AG^d=\\ A+i\lambda[G,A]+\frac{(i\lambda)^2}{2!}[G,[G,A]]+\ldots+\frac{(i\lambda)^n}{n!}\sum_{k=0}^n(-)^k \binom{n}{k}G^{n-k}AG^k+\ldots $$ So we are left with the following relation which we have to verify, and which would prove the statement: $$ \mathscr{F}(n): \sum_{k=0}^n(-)^k \binom{n}{k}G^{n-k}AG^k=\underbrace{[G,[G,[G,\ldots[G}_{n\ times},A]]]\ldots]. $$ Proceeding by induction, since the first terms shown above are compatible with the formula, we have to show that, if $\mathscr{F}$(n) holds then $\mathscr{F}$(n+1) is true as well.

To do this we exploit: $$ \underbrace{[G,[G,[G,\ldots[G}_{n+1\ times},A]]]]\ldots] = \underbrace{[G,[G,[G,\ldots[G}_{n\ times},[G,A]]]\ldots] $$

Then substituting $\mathscr{F}(n)$ yields: $$ \underbrace{[G,[G,[G,\ldots[G}_{n+1\ times},A]]]]\ldots]= \sum_{k=0}^n(-)^k \binom{n}{k}G^{n-k}(GA-AG)G^k =\\ \sum_{k=0}^n(-)^k \binom{n}{k}G^{n+1-k}AG^{k}-\sum_{k=0}^n(-)^k \binom{n}{k}G^{n-k}AG^{k+1}=\\ G^{n+1}A+\sum_{k=1}^n(-)^k \binom{n}{k}G^{n+1-k}AG^{k}-\sum_{k'=1}^{n}(-)^{k'-1} \binom{n}{k'-1}G^{n+1-k'}AG^{k'}+(-)^{n+1}AG^{n+1} $$ where in the last passage we changed summing index in the second sum, and took out the first term from the first and the last from the second. Now: $$ \binom{n}{k}+\binom{n}{k-1} = \binom{n+1}{k} $$ which gives $$ \ldots=G^{n+1}A + \sum_{k=1}^n(-)^k \binom{n+1}{k}G^{n+1-k}AG^{k} + (-)^{n+1}AG^{n+1}= \sum_{k=0}^{n+1}(-)^k \binom{n+1}{k}G^{n+1-k}AG^{k}.$$

And therefore $\mathscr{F}$(n+1) holds.

Brightsun
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8

Let $A$ and $B$ be any two operators on the Hilbert space $\mathscr H$, hermitian or not. We assume $A, B \in L(\mathscr H)$, the Banach algebra of bounded linear maps from $\mathscr H$ to itself. Consider the linear operator ordinary differential equation

$\dfrac{dX}{d \lambda} = [B, X] \tag{1}$

with initial condition

$X(0) = A. \tag{2}$

We observe that

$X(\lambda) = e^{\lambda B}Ae^{-\lambda B} \tag{3}$

is the unique solution to (1), (2), for from (3) it follows that

$\dfrac{dX}{d \lambda} = \dfrac{e^{\lambda B}}{d \lambda}Ae^{-\lambda B} + e^{\lambda B}\dfrac{dA}{d \lambda}e^{-\lambda B} + e^{\lambda B}A\dfrac{e^{-\lambda B}}{d \lambda} =$ $Be^{\lambda B}Ae^{-\lambda B} - e^{\lambda B}Ae^{-\lambda B}B = [B, e^{\lambda B}Ae^{-\lambda B}], \tag{4}$

where we have used the fact that $dA / d \lambda = 0$ and the Leibniz product rule for derivatives in (4), and furthermore it is evident from (3) that $X(0) = A$.

We next recall that for any $B \in L(\mathscr H)$ the adjoint linear operator $\text{ad}_B: L(\mathscr H) \to L(\mathscr H)$ may be defined via

$\text{ad}_B(A) = [B, A] \tag{5}$

for all $A \in L(\mathscr H)$. Denoting by $\Vert T \Vert _L$ the standard operator norm on $L(\mathscr H)$, we see that

$\Vert \text{ad}_B(A) \Vert_L = \Vert [B, A] \Vert_L = \Vert BA - AB \Vert_L \le \Vert BA \Vert_L + \Vert AB \Vert_L$ $\le \Vert B \Vert_L \Vert A \Vert_L + \Vert A \Vert_L \Vert B \Vert_L = 2 \Vert B \Vert_L \Vert A \Vert_L, \tag{6}$

which shows that

$\Vert \text{ad}_B \Vert_L \le 2 \Vert B \Vert_L, \tag{7}$

i.e. that $\text{ad}_B \in L(\mathscr H)$ is itself a bounded linear operator of norm at most $2\Vert B \Vert_L$. Furthermore, we have

$\text{ad}_B^2(A) = \text{ad}_B (\text{ad}_B(A)) = \text{ad}_B([B, A]) = [B, [B, A]], \tag{8}$

$\text{ad}_B^3(A) = \text{ad}_B (\text{ad}_B^2(A)) = \text{ad}_B([B, [B, A]]) = [B, [B, [B, A]]], \tag{9}$

and so on:

$\text{ad}_B^n(A) = [B, [B, [B, . . . [B, A]]] . . . ], \tag{10}$

where the operator $\text{ad}_B = [B, \cdot]$ occurs a total of $n$ times on the right-hand side of (10). We see that in fact (1) may be written in terms of $\text{ad}_B$ as

$\dfrac{dX}{d \lambda} = \text{ad}_B(X). \tag{11}$

Now set

$Y(\lambda) = A + \lambda [B, A] + \dfrac{\lambda^2}{2!}[B, [B, A]]$ $+ \ldots + \dfrac{\lambda^n}{n!}\underbrace{[B, [B, [B, \ldots [B}_{n \; \text{times}}, A]]]] \ldots ] + \ldots; \tag{12}$

from the above we see that $Y(\lambda)$ may be written

$Y(\lambda) = A + \lambda \text{ad}_B(A) + \dfrac{\lambda^2}{2!} \text{ad}_B^2(A) + \ldots + \dfrac{\lambda^n}{n!} \text{ad}_B^n(A) + \ldots$ $= \sum_0^\infty \dfrac{\lambda^n}{n!}\text{ad}_B^n(A) + \ldots = e^{\lambda \text{ad}_B}(A); \tag{13}$

since by (7) $\text{ad}_B$ is a bounded operator on $L(\mathscr H)$, all the series occuring above converge absolutely and uniformly on compacta for all $\lambda \in \Bbb R$, in fact for all $\lambda \in \Bbb C$. We thus have, exactly as in the case of ordinary calculus, that the derivative $Y'(\lambda)$ is given by

$\dfrac{dY}{d\lambda} = \text{ad}_B(e^{\lambda \text{ad}_B}(A)) = [B, e^{\lambda \text{ad}_B}(A)], \tag{14}$

and furthermore

$Y(0) = A, \tag{15}$

which follows trivially from (12) and/or (13). Comparing (1), (2), (11), (14) and (15), we see that $X(\lambda)$ and $Y(\lambda)$, satisfying as they do the same ODE with identical initial conditions, must by uniqueness etc. be identical for all $\lambda$: $X(\lambda) = Y(\lambda)$. Using (3) and (12), (13) we thus see that

$e^{\lambda B}Ae^{-\lambda B} = e^{\lambda \text{ad}_B}(A)$ $= A + \lambda [B, A] + \ldots + \dfrac{\lambda^n}{n!}\underbrace{[B, [B, [B, \ldots [B}_{n \; \text{times}}, A]]]] \ldots ] + \ldots; \tag{16}$

if we now set $B = iG$ we obtain

$e^{i\lambda G}Ae^{-i\lambda G} = e^{i\lambda \text{ad}_G}(A)$ $= A + i\lambda [G, A] + \ldots + \dfrac{(i\lambda)^n}{n!}\underbrace{[G, [G, [G, \ldots [G}_{n \; \text{times}}, A]]]] \ldots ] + \ldots, \tag{17}$

where we have used the fact that $\text{ad}_{iG} = i\text{ad}_G$, a consequence of the linearity of the bracket $[G, A]$ in each of its variables $A, G$. Equation (17) is the desired result. QED.

Note: The technique used here, based on uniqueness of ODEs, is similar in spirit to that used in my answers to several other questions; in particular see this one and this one.

Another Note: A couple of interesting formulas related to the above: $[B, e^{\lambda B}Ae^{-\lambda B}] = e^{\lambda B}[B, A]e^{-\lambda B}$ and $A = e^{-\lambda B} e^{\lambda \text{ad}_B(A)} e^{\lambda B}$.

Hope this helps. Cheerio,

and as always,

Fiat Lux!!!

Robert Lewis
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  • Thanks very much! I'm going to have a look at this awesome answer as soon as I have some time! – Brightsun Mar 14 '14 at 23:44
  • It truly is a much more elegant solution, @Robert Lewis. I'm not very much into the theory of series of linear operators, however you state that proving the boundedness and thus continuity of ad is sufficient to ensure convergence. Instinctively I'd say you'd need norm less than 1 as well, what's the point? – Brightsun Mar 15 '14 at 08:16
  • @ Brightsun: Sorry it took me so long to get back to you on this. Please note that in my answer the only operator series referenced are of the form $e^{\mu T}$ for some bounded operator $T$ and scalar $\mu$. Indeed, this series is referenced both implicitly (as $e^{i \lambda G}$ etc.) and explicitly as $A + i \lambda [G, A] + \frac{(i\lambda)^2}{2!}[G, [G, A]] + \ldots = e^{\lambda \text{ad}_{iG}}A$ in your question. The series $e^{\mu T} = \sum_0^\infty \frac{(\mu T)^n}{n!}$ converges for all bounded $T$, no matter what $\Vert T \Vert_L$ may be; (continued in following comment) – Robert Lewis Mar 15 '14 at 19:25
  • @ Brightsun: (continuation of previous comment) . . . indeed $e^{\mu T}$ is majorized in norm, term by term, by $\sum_0^\infty \frac{\Vert \mu T \Vert_L^n}{n!}$, which converges absolutely and uniformly (for $\mu$ contained in a compact subset of $\Bbb C$, in any event) no matter what value $\Vert \mu T \Vert_L$ may take; it is simply of the form $e^x$ for $0 \le x \in \Bbb R$. I merely took the trouble to show $\text{ad}_B$ is bounded to ensure the readers understood $e^{\lambda B}$ exists. The restriction $\Vert \mu T \Vert_L < 1$ is not necessary for the series $e^{\mu T}$. – Robert Lewis Mar 15 '14 at 19:38
  • @ Brightsun: even more: however, certain other ubiquitous series such as $\sum_0^\infty T^n = (I - T)^{-1}$ require $\Vert T \Vert_L < 1$ to make sense. OK, enough, I hope. Sorry about the terse response but I've a lot on my plate at present and so I'm in a bit of a rush. Hope these remarks clarify. Regards. P.S. In the previous comment, the final occurance of $e^{\lambda B}$ should read $e^{\lambda \text{ad}_B}$ – Robert Lewis Mar 15 '14 at 19:41
4

Let

$ f(i\lambda) = e^{iG\lambda}Ae^{-iG\lambda} $

We Taylor expand

$f(i\lambda) = f(0) + i\lambda f'(0) + \frac{(i\lambda)^2}{2} f''(0) + ... + \frac{(i\lambda)^n}{n!}f^{n}(0) + ...$

We see that

$ f'(i\lambda) = \frac{d}{di\lambda}(e^{iG\lambda})A e^{-iG\lambda} + e^{iG\lambda} A \frac{d}{di\lambda} (e^{-iG\lambda}) $

             $ = e^{iG\lambda}GAe^{-iG\lambda} - e^{iG\lambda}AGe^{-iG\lambda} $

             $ = e^{iG\lambda}[G,A]e^{-iG\lambda} $

$f'(0) = [G,A]$

In general, if

$f^{n}(i\lambda) = e^{iG\lambda}\underbrace{[G,...,[G}_{\text{$n$ times}},A]...]e^{-iG\lambda} $

Then

$f^{n+1}(i\lambda) = \frac{d}{di\lambda}(e^{iG\lambda})\underbrace{[G,...,[G}_{\text{$n$ times}},A]...]e^{-iG\lambda} + e^{iG\lambda}\underbrace{[G,...,[G}_{\text{$n$ times}},A]...]\frac{d}{di\lambda}(e^{-iG\lambda}) $

             $ = e^{iG\lambda}G\underbrace{[G,...,[G}_{\text{$n$ times}},A]...]e^{-iG\lambda} - e^{iG\lambda}\underbrace{[G,...,[G}_{\text{$n$ times}},A]...]Ge^{-iG\lambda} $

             $ = e^{iG\lambda}\underbrace{[G,...,[G}_{\text{$n+1$ times}},A]...]e^{-iG\lambda} $

$ f^{n+1}(0) = \underbrace{[G,...,[G}_{\text{$n+1$ times}},A]...] $

Putting this all together we get

$ e^{iG\lambda} A e^{-iG\lambda} = A + i\lambda[G,A] - \frac{(i\lambda)^2}{2}[G,[G,A]] + ... \frac{(i\lambda)^n}{n!} \underbrace{[G,...,[G}_{\text{$n$ times}},A]...] + ... $