How useful would a metric independant basis be?

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Discussion Overview

The discussion revolves around the concept of a metric-independent basis in the context of operators in physics, particularly in quantum mechanics and general relativity. Participants explore the implications of constructing operators that maintain the same eigenvalues regardless of the underlying metric, considering both theoretical and practical applications.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant proposes the idea of creating an operator that depends on the metric but retains the same eigenvalues across different metrics, questioning its potential usefulness.
  • Another participant suggests that embedding the space in a hyperspace could lead to a basis that is independent of the internal metric of subspaces, raising questions about the connection of this hyperspace to reality.
  • A third participant notes that such operators can be classified and describes conditions under which they would maintain distinct eigenvalues, while also expressing uncertainty about their usefulness.
  • A later reply discusses the possibility of constructing a metric-dependent operator similar to those in quantum mechanics, specifically referencing the energy-momentum relation in general relativity, and considers whether this could provide a useful basis for calculations across different coordinate systems.

Areas of Agreement / Disagreement

Participants express a range of views regarding the usefulness of the proposed metric-independent operators, with no consensus reached on whether they would be merely a curiosity or have significant implications.

Contextual Notes

Participants acknowledge complexities related to the completeness of the basis of eigenvectors and the potential for different eigenvalue sets to reveal interesting properties, but do not resolve these issues.

CPL.Luke
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if I could write down an operator that depended on the metric but always had the same eigenvalues regardless of the metric, how useful would that be?

I ask as I have an idea for how to accomplish this but want to know how much time its worth, ie is it just a curiosity or something more?
 
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Maybe someone else understands better from your hints what it is that you want to do.

Just some thoughts:
If you embed your space in a hyperspace, and only operate on the hyperspace, then this is a basis independent of the subspaces "internal" metric. So if your subspace bends and curls, you can take an outside standpoint. The question is, how the hyperspace connects to reality.
 
It's easy to classify all such operators. An operator satisfies your condition if and only if, it's a diagonal matrix when written in the coordinates given by the basis of eigenvectors. So, you just need one function of the shape "metric --> complex number" for each diagonal entry. The only thing remaining is to make sure that your different functions always take on distinct values, so that none of your operators have extra eigenvalues.

(I suppose things become more complicated if it doesn't have a complete basis of eigenvectors...)


As to how useful it would be... I couldn't say. It could be that your particular construction reveals a subtle property of the metric, or maybe some such operators collect a bunch of information together in a useful way, or maybe doing this construction with different eigenvalue sets reveals something interesting or maybe it's just be a curiousity, or maybe something entirely different is going on.
 
well I was thinking along the lines of an operator of the type you find in quantum mechanics, which are linked together via a metric

for instance if you take the energy momentum relation in General relativity it depends on a metric, now if I were to write such a thing such that this metric dependent operator had a single set of eigenvalues regardless of what metric was involved wheter it would be of some use. I was thinking it might form a useful basis with which to calculate, as it wouldn't matter what co-ordinate system you use but I wasn't to sure.
 

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