How Can You Simplify Problems Involving Variables in Three Dimensions?

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Homework Help Overview

The discussion revolves around simplifying expressions involving variables in three dimensions, particularly using the Kronecker delta and basis vectors. The original poster attempts to manipulate the expression involving the Kronecker delta and vectors to prove a specific identity.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the implications of the Kronecker delta in relation to vector components and question the conditions under which certain expressions evaluate to zero. There is an exploration of the role of basis vectors and the nature of summation in tensor notation.

Discussion Status

The discussion is active, with participants providing insights and clarifications regarding the properties of the Kronecker delta and its application in the context of the problem. Some participants suggest focusing on the implications of the delta function rather than the basis vectors.

Contextual Notes

There is a mention of orthogonality among basis vectors and the need to clarify the distinction between summation and non-summation cases in the context of the Kronecker delta.

timscully
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1. Variables

Given a generalized basis in three dimensions: e_{1},e_{2},e_{3} and the standard Kronecker delta \delta_{ij}, and using Einstein summation.
With the vector \textbf{x},\textbf{y},\textbf{z} I'm trying to simplify this problem:

2. Problem
\delta_{il} . \delta_{jm} . x_{j}

3. My attempt
\delta_{il}.\delta_{jm} . \textbf{x} . e_{j}<br /> = (e_{i}. e_{l}) . (e_{j} . e_{m}) . \textbf{x} . e_{j}<br /> = (e_{j}. e_{j}) . (e_{l} . e_{m} . e_{j}) . \textbf{x} <br /> = 1 . (e_{l} . e_{m} . e_{j}) . \textbf{x}

Surely this leads to \delta_{il} . \delta_{jm} . x_{j} = 0 as e_{l} , e_{m} , e_{j} are all orthagonal ?

Ultimately I'm trying to prove that
(\delta_{il} . \delta_{jm} - \delta_{jl} . \delta_{im}).x_{j}.y_{l}.z_{m}<br /> = y_{i}.x_{j}.z_{j} - z_{i}.x_{j}.y_{j}
 
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Welcome to PF!

timscully said:
I'm trying to simplify this problem:
\delta_{il} . \delta_{jm} . x_{j}

Ultimately I'm trying to prove that
(\delta_{il} . \delta_{jm} - \delta_{jl} . \delta_{im}).x_{j}.y_{l}.z_{m}<br /> = y_{i}.x_{j}.z_{j} - z_{i}.x_{j}.y_{j}

Hi timscully! Welcome to PF! :smile:

(have a delta: δ :wink:)

Forget about the basis vectors!

All δij does is replace i by j (or vice versa) in anything else.

So δijxj = xi, δijxi = xj.

So just plug 'n' play! :biggrin:
 
Thanks for the welcome.

It looks like a great forum.

So, is \delta_{ij} . x_{m} zero, because m is neither i nor j ?
 
not a sum

timscully said:
Thanks for the welcome.

It looks like a great forum.

So, is \delta_{ij} . x_{m} zero, because m is neither i nor j ?

Nooo:bugeye:

δijxj is a sum over all values of j, so it only depends on i: δijxj = xi.

But δijxm is not a sum; there is no "contraction"; it still depends on i j and m: δijxm = xm if i = j and = 0 if i≠j. :smile:
 
Got it. Much appreciated.
 

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