Why Do Subscripts and Superscripts Vary in Einstein Summation Notation?

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Discussion Overview

The discussion revolves around the use of subscripts and superscripts in Einstein summation notation, particularly in the context of tensor analysis and vector representation. Participants explore the implications of these notations in mathematical expressions and their relevance in different contexts, such as differential geometry and the representation of four-vectors.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant notes that subscripts are used to label different members of the same basis, while superscripts label components of a vector, exemplified by the expression A=A^i e_i.
  • Another participant explains that the components of the metric are denoted by g_{ij} and its inverse by g^{ij}, with the relationship g^{ij}g_{jk}=\delta^i_k illustrating the interaction between these components.
  • A participant questions the benefit of switching between subscripts and superscripts, referencing Feynman's introduction of four-vectors using only subscripts.
  • One response suggests that in some contexts, such as matrix equations, the distinction may not provide any advantage, advocating for a simplified view of the equations.
  • Another participant highlights that in differential geometry, the distinction between subscripts and superscripts helps to clarify the type of tensor being dealt with, as seen in the example R_{abc}{}^d, which indicates its action on tangent and cotangent vectors.

Areas of Agreement / Disagreement

Participants express differing views on the utility of switching between subscripts and superscripts, with some arguing for its importance in certain contexts while others suggest it may not be beneficial. The discussion remains unresolved regarding the overall advantages of this notation.

Contextual Notes

Participants reference specific examples and contexts, such as differential geometry and matrix representations, but do not reach a consensus on the necessity or benefits of the notation differences.

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hi i am just reading some notes on tesor analysis and in the notes itself while representing vectors in terms of basis using einstein summation notation the author switches between subsripts and superscripts at times. are there any different in these notation. if so what are they and when should they be used?

An examples is given on the pdf in section 1.3.
 

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They're using subscripts to label different members of the same basis, and superscripts to label components of a vector, so A=A^i e_i. The components of the metric are g_{ij}=g(e_i,e_j). The g^{ij} are the components of the inverse of the matrix with components g_{ij}. Therefore g^{ij}g_{jk}=\delta^i_k. The e^i are members of a basis for the dual space of the vector space with basis \{e_i\}. They're defining them by e^i=g^{ij}e_j. An expansion of a member of the dual space in terms of the e^i would appear as \omega=\omega_i e^i, i.e. components of dual vectors are labeled by a subscript.

The dual space V* of a real vector space V is the set of continuous linear functions from V into the real numbers.
 
hi thanks for you reply. what is the underlying benifit of switching between the vectors on covector (indices). I ask this because Feynman introduces the concept of four vectors only using subscripts only.
 
In this context, there is no advantage at all. You can think of these equations as matrix equations, put all the indices downstairs, and forget you've ever even heard the word "tensor". (I often do that myself. See this for example. But then you should also be aware of this so that you understand what you read in books. Note in particular the expression for the inverse of a Lorentz transformation).

In differential geometry, the distinction between subscripts and superscripts has the advantage that the notation reveals what sort of tensor you're dealing with. For example, when you see R_{abc}{}^d, you know it's supposed to be acting on three tangent vectors and one cotangent vector.
 

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