Matrix representation of a unitary operator, change of basis

Click For Summary
SUMMARY

The discussion focuses on the matrix representation of a unitary operator, specifically the transformation of a vector between two bases using the adjoint of the unitary operator, denoted as ##U^\dagger##. It highlights the relationship between the expansion coefficients in the new basis ##\left\langle b^{(k)} \mid \alpha\right\rangle## and the original basis ##\left|a^{(l)}\right\rangle##. The key takeaway is that applying ##U^\dagger## to a vector in the old basis yields its representation in the new basis, as demonstrated by the equation ##(\mathrm{New})=\left(U^{\dagger}\right)(\mathrm{old})##. However, applying ##U^\dagger## directly to a basis vector does not yield the new basis representation, which is a critical point of clarification in the discussion.

PREREQUISITES
  • Understanding of unitary operators in quantum mechanics
  • Familiarity with bra-ket notation and inner products
  • Knowledge of matrix operations and transformations
  • Basic concepts of quantum state representation
NEXT STEPS
  • Study the properties of unitary operators and their adjoints in quantum mechanics
  • Learn about basis transformations and their implications in quantum state representation
  • Explore the mathematical derivation of the adjoint operator in quantum mechanics
  • Investigate the application of matrix notation in quantum mechanics, focusing on state transformations
USEFUL FOR

Quantum physicists, students of quantum mechanics, and anyone interested in the mathematical foundations of quantum state transformations will benefit from this discussion.

Kashmir
Messages
466
Reaction score
74
If ##U## is an unitary operator written as the bra ket of two complete basis vectors :##U=\sum_{k}\left|b^{(k)}\right\rangle\left\langle a^{(k)}\right|##

##U^\dagger=\sum_{k}\left|a^{(k)}\right\rangle\left\langle b^{(k)}\right|##

And we've a general vector ##|\alpha\rangle## such that ##|\alpha\rangle=\sum_{a^{\prime}}\left|a^{\prime}\right\rangle\left\langle a^{\prime} \mid \alpha\right\rangle##

Sakurai writes at pg 50 :
"how can we obtain ##\left\langle b^{\prime} \mid \alpha\right\rangle##, the expansion coefficients in the new basis? answer is very simple: Just multiply (1.5.9) by ##\left\langle b^{(k)}\right|##
##
\left\langle b^{(k)} \mid \alpha\right\rangle=\sum_{l}\left\langle b^{(k)} \mid a^{(l)}\right\rangle\left\langle a^{(l)} \mid \alpha\right\rangle=\sum_{l}\left\langle a^{(k)}\left|U^{\dagger}\right| a^{(l)}\right\rangle\left\langle a^{(l)} \mid \alpha\right\rangle .
##
##(1.5 .1##
In matrix notation, (1.5.10) states that the column matrix for ##|\alpha\rangle## in the new basis can be obtained just by applying the square matrix ##U^{\dagger}## to the colum matrix in the old basis:
##\quad(\mathrm{New})=\left(U^{\dagger}\right)(##old ##)##"So if the matrix representing ##U^\dagger## is applied on to the matrix representing ##|\alpha\rangle## ,it gives the vectors representation in the new basis. But when I apply ##U^\dagger## onto say an basis vector ##\left|a_{1}\right\rangle## ,it doesn't give me the vectors representation in new basis as shown below :

##\begin{aligned} U^{\dagger}\left|a_{1}\right\rangle &=\sum_{k}\left|a^{k}\right\rangle\left\langle b^{k} \mid a_{1}\right\rangle \\ &=\sum_{k}\left(\left\langle b^{k} \mid a_{1}\right\rangle\right) \cdot\left|a^{k}\right\rangle \end{aligned}##
 
Physics news on Phys.org
Why should it? You rather have
$$\ket{b^k}=\hat{U} \ket{a^k}.$$
Sakurai in the quoted text uses the adjoint of this
$$\bra{b^k}=\bra{a^k} \hat{U}^{\dagger}.$$
 

Similar threads

  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 1 ·
Replies
1
Views
1K
Replies
2
Views
1K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 7 ·
Replies
7
Views
2K