How Is Entropy Calculated for a Density Matrix with Eigenvalues 0 and 1?

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Homework Help Overview

The discussion revolves around calculating the entropy of a density matrix with eigenvalues 0 and 1, specifically addressing the challenges posed by the undefined nature of ln(0) in the entropy formula.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants explore the implications of the eigenvalues being 0 and 1, questioning how to handle the limit of λ approaching 0 in the entropy calculation. Some suggest using L'Hospital's Rule to evaluate the limit, while others propose numerical approaches to derive a solution.

Discussion Status

The discussion is active, with participants sharing insights and raising questions about the mathematical and physical interpretations of entropy in pure states. There is no explicit consensus yet, but various lines of reasoning are being explored.

Contextual Notes

Participants note that the entropy of pure states is zero, prompting questions about the physical interpretation of this result and the relationship between entropy and uncertainty in quantum states.

LagrangeEuler
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Homework Statement


Calculate entropy for density matrix with eigenvalues ##0## and ##1##.



Homework Equations


##S=-\lambda_1 \ln \lambda_1-\lambda_2 \ln \lambda_2##
where ##\lambda_1## and ##\lambda_2## are eigenvalues of density matrix.


The Attempt at a Solution


How to calculate this when ##\ln 0## is not defined?
 
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LagrangeEuler said:

Homework Statement


Calculate entropy for density matrix with eigenvalues ##0## and ##1##.



Homework Equations


##S=-\lambda_1 \ln \lambda_1-\lambda_2 \ln \lambda_2##
where ##\lambda_1## and ##\lambda_2## are eigenvalues of density matrix.


The Attempt at a Solution


How to calculate this when ##\ln 0## is not defined?
I'm no expert, but...

What is the value of ##\displaystyle \lim_{\lambda_1\rightarrow 0}\left[\lambda_1\ln{\lambda_1}\right]##?

I think that is the only way to get a numerical answer here: make it approach what you want.
 
For a density matrix ρ with eigenvalues only 0 and 1, we have [itex]ρ = ρ^{2}[/itex]. This is true only for pure states and thus we know the Von Neumann entropy must be zero. To calculate it numerically I would guess the approach Mandelbroth suggested is valid.
 
What is interpretation of that. For pure state entropy is zero. Why?
##-1\ln 1-\lim_{\lambda \rightarrow 0}\lambda \ln \lambda=-\lim_{\lambda \rightarrow 0}\lambda \ln \lambda ##
How to calculate this limit?
 
LagrangeEuler said:
What is interpretation of that. For pure state entropy is zero. Why?
##-1\ln 1-\lim_{\lambda \rightarrow 0}\lambda \ln \lambda=-\lim_{\lambda \rightarrow 0}\lambda \ln \lambda ##
How to calculate this limit?

To calculate the limit let [itex]t = 1/x[/itex]. Then you have [tex]\lim_{t\to\infty}=\frac{log(1/t)}{t} = \frac{\infty}{\infty}.[/tex] Then use L'Hospital's Rule and you will get the answer. Otherwise, you could just type it into wolfram alpha.
 
Tnx a lot! And physically why entropy of pure state is zero?
 
It is easy to see mathematically why the entropy of a pure state is zero. However, why its true physically seems a much harder question, one I'm not sure I know how to answer.
 
Entropy is in some sense a measure of our uncertainty about the state a system. If a system is in a mixed state, is our uncertainty big or small? What about when it is in a pure state?
 
Mute said:
Entropy is in some sense a measure of our uncertainty about the state a system. If a system is in a mixed state, is our uncertainty big or small? What about when it is in a pure state?

Pure state is minimum uncertainty so it makes sense Entropy would be zero.
 

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