Einstein Summation Convention / Lorentz Boost

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Homework Help Overview

The discussion revolves around the Einstein Summation Convention within the context of Lorentz transformations. The original poster seeks clarification on the notation and implications of indices in matrix representations of these transformations.

Discussion Character

  • Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the meaning of indices in the context of matrix notation, questioning how summation is implied when indices match. There is also discussion about the representation of the Lorentz transformation matrix.

Discussion Status

Some participants confirm the understanding of the summation convention and the interpretation of matrix indices. There is an acknowledgment of the need for a new representation of Lorentz transformations, with references to external resources for further clarification.

Contextual Notes

Participants note that the indices used in the equations must be distinct and cannot contract with each other, which is a key aspect of the discussion.

raintrek
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Einstein Summation Convention / Lorentz "Boost"

Homework Statement



I'm struggling to understand the Einstein Summation Convention - it's the first time I've used it. Would someone be able to explain it in the following context?

Lorentz transformations and rotations can be expressed in matrix notation as

x^{\mu'} = \Lambda^{\mu'}\!_{\mu}\:x^{\mu}


Coordinates are defined by x^{\mu} with \mu = 0,1,2,3, such that (x^{0}, x^{1}, x^{2}, x^{3}) = (ct, x, y, z)

I'm seeking clarification on the meanings of the various \mu, \mu' indices in the matrix notation equation. Any help would be massively appreciated!
 
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Summation rule

\mu, \acute{\mu} means that these are all different indices which can have 0,1,2,3 and cannot contract with each other. I mean for example, while \mu = 0, the other one can be \acute{\mu} = 3.
Einstein summation rule is that you have to sum the terms with same indices. So you should scan all the values of the indices.
So
x^{\acute{\mu}} = \Lambda^{\acute{\mu}}\!_{\mu}\:x^{\mu} means that

x^0 = \Lambda^{0}\!_{0}\:x^{0}+\Lambda^{0}\!_{1}\:x^{1}+\Lambda^{0}\!_{2}\:x^{2}+\Lambda^{0}\!_{3}\:x^{3}
x^1 = \Lambda^{1}\!_{0}\:x^{0}+\Lambda^{1}\!_{1}\:x^{1}+\Lambda^{1}\!_{2}\:x^{2}+\Lambda^{1}\!_{3}\:x^{3}
x^2 = \Lambda^{2}\!_{0}\:x^{0}+\Lambda^{2}\!_{1}\:x^{1}+\Lambda^{2}\!_{2}\:x^{2}+\Lambda^{2}\!_{3}\:x^{3}
x^3 = \Lambda^{3}\!_{0}\:x^{0}+\Lambda^{3}\!_{1}\:x^{1}+\Lambda^{3}\!_{2}\:x^{2}+\Lambda^{3}\!_{3}\:x^{3}

Don't forget that each term is actually a matrix element. So write the values of the matrix elements above and obtain the Lorentz transformation equations.
 
Ah, so am I correct in thinking that whenever an expression contains one index as a superscript and the same one as a subscript, a summation over those values is implied?

Also, does the \Lambda^{\mu'}\!_{\mu} just mean a matrix with \mu' representing the row number and \mu representing the column number?

so, in essence,

\Lambda^{0'}\!_{0} \Lambda^{0'}\!_{1} \Lambda^{0'}\!_{2} \Lambda^{0'}\!_{3}
\Lambda^{1'}\!_{0} \Lambda^{1'}\!_{1} \Lambda^{1'}\!_{2} \Lambda^{1'}\!_{3}
\Lambda^{2'}\!_{0} \Lambda^{2'}\!_{1} \Lambda^{2'}\!_{2} \Lambda^{2'}\!_{3}
\Lambda^{3'}\!_{0} \Lambda^{3'}\!_{1} \Lambda^{3'}\!_{2} \Lambda^{3'}\!_{3}

is the \Lambda^{\mu'}\!_{\mu} matrix produced from your equations?
 
Last edited:
Yes you'r right.
But
\Lambda^{\musingle-quote}\!_{\mu} matrix cannot produce from above equation. We'r talking about a new representation of Lorentz transforms.

You can find the \Lambda^{\musingle-quote}\!_{\mu} matrix here --> http://en.wikipedia.org/wiki/Lorentz_transformation
 
raintrek said:
Ah, so am I correct in thinking that whenever an expression contains one index as a superscript and the same one as a subscript, a summation over those values is implied?

Also, does the \Lambda^{\mu'}\!_{\mu} just mean a matrix with \mu' representing the row number and \mu representing the column number?

Yes.
 
More correctly \Lambda^{\mu'}_\mu means a tensor that can, in a given coordinates system, be represented by such a matrix.
 

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