Collapse and projection-valued measures

In summary, the conversation discusses the use of a projection-valued measure to measure an observable A in a system with state ρ. The probability of obtaining a result within a measurable subset S is given by tr(ρ⋅μA(S)), and the system will collapse to a state ρ' = μA({a}) if the result is a point a in S. However, for degenerate eigenvalues, the correct answer would be to project the state onto the degenerate subspace, known as Lüders rule. The correct formulas for the state after collapse in this case would be ρ' = (1/tr(ρ⋅μA({a})))⋅μA({a})
  • #1
burakumin
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7
Let suppose I have an observable ##A## with associated projection-valued measure ##\mu_A##
$$A = \int_{a \in \mathbb{R}} a \cdot \textrm{d}\mu_A(a)$$
for a system in the (possibly mixed) state ##\rho##. Let ##S \subset \mathbb{R}## be a measurable subset and let ##Z = \mu_A(S)## be the observable equating 1 if ##A## falls in ##S## and 0 otherwise.

Is this statement meaningful and correct:

If measuring ##A##, with probability ##\textrm{tr}( \rho \cdot \mu_A(S) )## the result will be a point in ##S## (let's call it ##a##) and the system will collapse to state ##\rho' = \mu_A(\{a\})##

Again is this statement meaningful and correct:

If measuring ##Z##, with probability ##\textrm{tr}( \rho \cdot \mu_A(S) )## the result will be 1 and the system will collapse to state $$\rho' = \frac{1}{\textrm{tr} (\rho \cdot \mu_A(S))} \cdot \int_{a \in S} \textrm{tr} ( \rho \cdot \mu_A(\{a\}) ) \cdot \textrm{d} \mu_A(a) $$ with any subsequent measurement of ##A## producing a value inside ##S##
 
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  • #2
Rethinking about that, it seems that my formulas for states after collapse are incorrect as ##\mu_A(\{a\})## is not a state at all in case ##a## is degenerate eigenvalue. But what would be the correct answer?

My question can basically be rephrased as "how do you express collapse with PVM?"
 
  • #4
Bhobba, I think the OP just want an FAPP collapse to do calculation.

burakumin said:
it seems that my formulas for states after collapse are incorrect as ##\mu_A(\{a\})## is not a state at all in case ##a## is degenerate eigenvalue. But what would be the correct answer?"

Typically one projects the state before the PVM measurement onto the degenerate subspace. This is called Lüders rule.
 
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  • #5
Truecrimson said:
Bhobba, I think the OP just want an FAPP collapse to do calculation.

Typically one projects the state before the PVM measurement onto the degenerate subspace. This is called Lüders rule.

Thanks Truecrimson, "Lüders rule" seems definately the appropriate keyword. So AFAIU the correct answers would be:
$$ \rho' = \frac{1}{\textrm{tr} (\rho \cdot \mu_A(\{a\})) } \cdot \mu_A(\{a\}) \cdot \rho \cdot \mu_A(\{a\}) $$
and
$$ \rho' = \frac{1}{\textrm{tr} (\rho \cdot \mu_A(S)) } \cdot \mu_A(S) \cdot \rho \cdot \mu_A(S) $$
 
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Related to Collapse and projection-valued measures

1. What is the concept of "collapse" in relation to projection-valued measures?

The concept of "collapse" refers to the phenomenon in quantum mechanics where the state of a system is determined after a measurement is made. This means that the state of the system "collapses" from a superposition of multiple possible states to a single definite state. This collapse is described by projection-valued measures, which assign probabilities to different outcomes of a measurement.

2. How do projection-valued measures relate to the uncertainty principle?

The uncertainty principle is a fundamental principle in quantum mechanics that states that certain pairs of physical properties, such as position and momentum, cannot be simultaneously known to arbitrary precision. Projection-valued measures play a key role in this principle, as they represent the inherent uncertainty in measuring the state of a quantum system.

3. Can you give an example of how projection-valued measures are used in experiments?

One example of the use of projection-valued measures in experiments is in the double-slit experiment. In this experiment, a beam of particles, such as electrons, is passed through two slits and observed on a screen on the other side. The resulting pattern on the screen is determined by the projection-valued measures of the particles, which describe the probabilities of the particles passing through each slit and forming an interference pattern.

4. What is the significance of projection-valued measures in quantum information theory?

Projection-valued measures play a crucial role in quantum information theory, particularly in the field of quantum computation. They allow for the manipulation and measurement of quantum states, which are essential for quantum algorithms and protocols. The properties of projection-valued measures also have implications for the security of quantum cryptography protocols.

5. How do projection-valued measures connect to the concept of quantum entanglement?

Quantum entanglement is a phenomenon where two or more particles are inextricably linked, even when separated by large distances. Projection-valued measures are used to describe the entangled states of these particles, and the probabilities of their outcomes when measured. This connection between projection-valued measures and entanglement is essential for understanding and utilizing the unique properties of quantum systems in various applications.

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