Trace of a Matrix: Definition & Analysis

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Discussion Overview

The discussion revolves around the definition and implications of the trace of a matrix, exploring its mathematical properties, physical interpretations, and relevance in quantum mechanics. Participants examine various definitions, particularly the sum of diagonal elements versus the sum of eigenvalues, and the trace's invariance under transformations.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Some participants assert that the trace of a matrix is defined as the sum of its diagonal elements, while others propose that it should be defined as the sum of its eigenvalues, arguing that the latter makes more sense for general matrices.
  • One participant notes that the trace is invariant under rotations, suggesting that it retains the same value regardless of whether the matrix has been diagonalized.
  • Questions are raised about the physical meaning of the trace, with some suggesting it relates to the expected value of observables in quantum mechanics.
  • Another participant describes the trace in terms of geometric interpretations, likening it to the sum of lengths of ellipsoids generated by the matrix.
  • There is a discussion about the relationship between the trace and the product of eigenvalues in the context of density matrices, particularly in thermal ensembles.
  • One participant challenges the applicability of certain explanations to symmetric matrices and questions the trace of rotation matrices.
  • Another participant introduces a question about the Poynting vector and energy propagation in electromagnetic waves, which appears to diverge from the main topic.

Areas of Agreement / Disagreement

Participants express differing views on the definition of the trace, with some supporting the diagonal elements definition and others advocating for the eigenvalues definition. The discussion remains unresolved regarding the most appropriate definition and its implications.

Contextual Notes

Some claims depend on specific conditions, such as the type of matrix being discussed (e.g., symmetric or diagonal matrices), and there are unresolved mathematical steps regarding the implications of the trace in different contexts.

lathawarrier
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In many books and also in wikipedia, the Trace of a matrix is defined as sum of its diagonal elements. For a general matrix, it does not make much sense, as any element is as important any other element. An alternative definition (in wikipedia for example) is that the Trace of the matrix is the sum of its eigenvalues. Such a definition makes lot of sense. For specialized matrices, for example diagonal matrices, trace (sum of eigenvalues) is the same as the sum of its diagonal elements. For a general matrix, the sum of the diagonal elements is not the sum of its eigen values and so is not the trace of the matrix.

Anyone disagrees?
 
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The trace of a matrix is invariant under rotations (orthogonal transformations), so it has the same value whether you have already diagonalized the matrix or not.
 
what physically means the Trace of a Matrix? dose it has a physical concept?
 
In QM its value is from the standard trace formula where the expected value of an observable R is E(R) = Trace(pR) where p is the system state. System states are positive operators of unit trace.

The reason for the formula is very deep and is the subject of Gleasons theorem. It also follows from the assumption that expectation values are additive as proven by Von Neumann in his famous no go theorem - but that is a stronger assumption than made in Gleason's theorem. However both are evaded by hidden variable theories - but because of Von Neumann's reputation people initially didn't see it could be evaded - a few did but they were initially ignored and it had to wait for Bell and a few others to point it out. It was realized from the outset Gleason could be evaded - but the evasion is a bit trickier because Gleason implies Kochen-Specker.

The following goes into these issues in much more detail as well as gives proofs:
http://arxiv.org/pdf/quant-ph/0507182v2.pdf

Thanks
Bill
 
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lathawarrier said:
For a general matrix, the sum of the diagonal elements is not the sum of its eigen values and so is not the trace of the matrix.

Anyone disagrees?
for quadratic N*N matrices I disagree b/c you can always diagonalize quadratic matrices, and the trace is an invariant w.r.t. diagonalization
 
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what physically means the Trace of a Matrix? dose it has a physical concept?

Well it is the sum of the ellipsoid lengths generated by applying the matrix to a sphere (of the appropriate number of dimensions).

Just as the determinant gives the volume of the ellipsoid (the product of the lengths), the trace gives the sum of the lengths.

You could think of it as a different form of average for the 'size' of the matrix.
 
Actually I think my last explanation only applies to symmetric matrices. Wikipedia suggests that rotation matrices have a trace 1 + 2*cos(angle)... is this right?
 
What about the product of the eigenvalues of the density matrix? As you turn up the temperature of a thermal ensemble and the population spreads, the trace is preserved by the product of the eigenvalues changes. Is there any way to use this to tell you something useful about the ensemble apart from the obvious limits?
 
For a density matrix you have

\rho = e^{-\beta H}
\rho_{mn} = \langle m|\rho|n\rangle = \langle m|e^{-\beta E_n} |n\rangle = e^{-\beta E_n}\,\delta_{mn}

\text{tr}\rho = \sum_n e^{-\beta E_n}

For the product you get

\prod_n e^{-\beta E_n} = e^{-\beta \sum_n E_n} \to 0

for typical systems b/c the sum diverges
 
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  • #10
I have a question: when the poynting vector and energy propagation in electromagnetic waves are in the same direction and when are in different direction?
 

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