Understanding Einstein Field Equation & Metric Tensor

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Discussion Overview

The discussion focuses on understanding the Einstein Field Equation and the metric tensor, exploring their definitions, relationships, and implications in the context of general relativity. Participants express confusion regarding the role of the Kronecker delta in relation to the metric tensor and the mathematical formulation of distances on a manifold.

Discussion Character

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

Main Points Raised

  • Some participants propose that the metric tensor is a rank 2 symmetric covariant tensor that does not necessarily involve the Kronecker delta.
  • Others argue that the metric tensor can contain the Kronecker delta, depending on the context, but it is not a requirement.
  • There is confusion about when the Kronecker delta is used in relation to the metric tensor, with some participants seeking clarification on its role.
  • Participants discuss how the metric tensor relates to distances on a manifold, specifically how the inner product of vectors provides information about distances.
  • One participant provides a mathematical expression for calculating the length of a curve using the metric tensor.
  • Questions arise regarding the dimensions of vectors involved in the inner product and their relationship to the metric tensor.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the necessity of the Kronecker delta in the metric tensor, and multiple competing views remain regarding its role and the understanding of the metric tensor itself.

Contextual Notes

There are limitations in the discussion regarding the assumptions made about the metric tensor and the Kronecker delta, as well as the mathematical steps involved in understanding distances on a manifold.

TimeRip496
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Hi guys. I am trying to understand einstein field equation and thus have started on learning tensor. For metric tensor, is it just comprised of two contra/covariant vectors tensor product among each other alone or does it requires an additional kronecker delta? I am confused about the idea behind kronecker delta and the metric tensor such what they are, in terms of physics.
 
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The metric tensor is a rank 2 symmetric covariant tensor. It doesn't a priori have anything to do with the Kronecker delta.
 
Matterwave said:
The metric tensor is a rank 2 symmetric covariant tensor. It doesn't a priori have anything to do with the Kronecker delta.
So it doesn't contain the kronecker delta? Cause I watch drphysics video regarding einstein field equation on YouTube and his metric tensor contains kronecker delta
 
TimeRip496 said:
So it doesn't contain the kronecker delta? Cause I watch drphysics video regarding einstein field equation on YouTube and his metric tensor contains kronecker delta

It doesn't have to contain a Kronecker delta, although it could.
 
Matterwave said:
It doesn't have to contain a Kronecker delta, although it could.
So when does it contains? I am really confused as I don't really know about this kronecker delta.
 
TimeRip496 said:
So when does it contains? I am really confused as I don't really know about this kronecker delta.

The metric tensor tells you about distances on your manifold. More specifically, it is a rank 2 symmetric co variant tensor which allows you to find the inner product between any two vectors in the tangent space. What the metric tensor is for any specific manifold and matter distribution is the whole point of solving the Einstein Field Equations.
 
Matterwave said:
The metric tensor tells you about distances on your manifold. More specifically, it is a rank 2 symmetric co variant tensor which allows you to find the inner product between any two vectors in the tangent space. What the metric tensor is for any specific manifold and matter distribution is the whole point of solving the Einstein Field Equations.
How does the inner product between two vecfors tells us about the distance on your manifold? This is the part which I am really confused about the metric tensor.
 
TimeRip496 said:
How does the inner product between two vecfors tells us about the distance on your manifold? This is the part which I am really confused about the metric tensor.

The inner product of a vector with itself basically just gives you the square of the magnitude of that vector. The infinitesimal length of tangent vectors are then added up over a curve to get the length of the curve:

$$s=\int_1^2 \sqrt{g_{ab}\frac{dx^a}{ds}\frac{dx^b}{ds}}ds$$
 
TimeRip496 said:
So it doesn't contain the kronecker delta? Cause I watch drphysics video regarding einstein field equation on YouTube and his metric tensor contains kronecker delta

You may want to try a more traditional written explanation of tensor calculus, instead of relying on YouTube videos. If you just want to understand what general relativity and the Einstein Field Equation is about, there is http://preposterousuniverse.com/grnotes/grtinypdf.pdf ... It cuts a fair number of mathematical corners, but will see you through to an understanding of how the concepts hang together.
 
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  • #10
Matterwave said:
The inner product of a vector with itself basically just gives you the square of the magnitude of that vector. The infinitesimal length of tangent vectors are then added up over a curve to get the length of the curve:

$$s=\int_1^2 \sqrt{g_{ab}\frac{dx^a}{ds}\frac{dx^b}{ds}}ds$$
Matterwave said:
The inner product of a vector with itself basically just gives you the square of the magnitude of that vector. The infinitesimal length of tangent vectors are then added up over a curve to get the length of the curve:

$$s=\int_1^2 \sqrt{g_{ab}\frac{dx^a}{ds}\frac{dx^b}{ds}}ds$$
For your equation regarding the dxa and dxb, are they of the same vector but just with different no of dimensions?
 
  • #11
TimeRip496 said:
For your equation regarding the dxa and dxb, are they of the same vector but just with different no of dimensions?

It's the same vector, with the same number of dimensions. The matching indices with the metric tensor tell you to sum over them.
 

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