Maximization of an Uncertainty Product

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SUMMARY

The discussion focuses on maximizing the uncertainty product \(\langle(\Delta S_x)^2\rangle\langle(\Delta S_y)^2\rangle\) for the Sakurai problem 1.20, involving spin-1/2 systems. The normalized spin-space ket is expressed as \(\vert\alpha\rangle = \cos\phi\vert +\rangle+\sin\phi e^{i\theta}\vert -\rangle\). The uncertainty product is derived as \(F(\phi,\theta) = \frac{\hbar^4}{16}(1-\sin^2(2\phi)+\frac{1}{4}\sin^4(2\phi)\sin^2(2\theta)\). The analysis reveals degenerate maxima at \(\phi = n\pi/2\), prompting questions about potential algebraic or conceptual errors in the approach.

PREREQUISITES
  • Understanding of spin-1/2 systems and Pauli matrices
  • Familiarity with quantum mechanics concepts such as eigenkets and uncertainty principles
  • Knowledge of trigonometric identities and their application in quantum mechanics
  • Ability to manipulate complex exponentials in quantum state representations
NEXT STEPS
  • Explore the derivation of the uncertainty principle in quantum mechanics
  • Study the physical interpretation of angles in quantum state representations
  • Investigate the implications of degenerate maxima in optimization problems
  • Learn about the role of normalization in quantum state kets
USEFUL FOR

Quantum mechanics students, physicists working with spin systems, and anyone interested in the mathematical foundations of uncertainty in quantum states.

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Homework Statement


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Sakurai problem 1.20: find the linear combination of spin-up and spin-down S_z eigenkets that maximizes the uncertainty product \langle(\Delta S_x)^2\rangle\langle(\Delta S_y)^2\rangle.

Homework Equations


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In general, we can write a normalized spin-space ket as \vert\alpha\rangle = \cos\phi\vert +\rangle+\sin\phi e^{i\theta}\vert -\rangle. Various trig identities are probably relevant (sums and differences of similar complex exponentials and the like). Also, the spin-1/2 representation S_i = \frac\hbar 2\sigma_i is certainly relevant.

The Attempt at a Solution


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Since the Pauli sigma matrices are involuntary and the ket is normalized we see immediately that \langle S_x^2\rangle=\langle S_y^2\rangle =\frac{\hbar^2}4. Using elementary trig we can also compute \langle S_x\rangle^2 = \hbar^2\sin^2\phi\cos^2\phi\cos^2\theta,\qquad\langle S_y\rangle = \hbar^2\sin^2\phi\cos^2\phi\sin^2\theta. The uncertainty product is then a function F of two variables that should be maximized, and simplification yields F(\phi,\theta) = \hbar^4(\frac 1 4-\sin^2\phi\cos^2\phi\cos^2\theta)(\frac 1 4-\sin^2\phi\cos^2\phi\sin^2\theta) = \frac{\hbar^4}{16}(1-\sin^2(2\phi)+\frac 1 4\sin^4(2\phi)\sin^2(2\theta). But this has degenerate maxima at phi = nπ/2 for any theta, which is definitely not the expected answer for the problem. Is this due to an algebraic mistake on my part or a conceptual mishap?
 
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I think your answer is correct. Can you describe the physical interpretation of your angles ##\phi## and ##\theta## (or better, ##2\phi## and ##\theta## )? If so, your answer shouldn't be too surprising.
 

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