How Can You Simplify Problems Involving Variables in Three Dimensions?

AI Thread Summary
The discussion focuses on simplifying expressions involving variables in three dimensions using the Kronecker delta and Einstein summation. The user attempts to simplify the expression δ_{il} . δ_{jm} . x_{j} and seeks to prove a specific equation involving these deltas and variables x, y, and z. Key insights include the understanding that the Kronecker delta effectively replaces indices, leading to simplifications based on orthogonality and contraction rules. Clarifications are made regarding the difference between contracted and non-contracted expressions involving the delta function. Ultimately, the conversation emphasizes the importance of correctly applying the properties of the Kronecker delta in vector operations.
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.
 
I tried to combine those 2 formulas but it didn't work. I tried using another case where there are 2 red balls and 2 blue balls only so when combining the formula I got ##\frac{(4-1)!}{2!2!}=\frac{3}{2}## which does not make sense. Is there any formula to calculate cyclic permutation of identical objects or I have to do it by listing all the possibilities? Thanks
Since ##px^9+q## is the factor, then ##x^9=\frac{-q}{p}## will be one of the roots. Let ##f(x)=27x^{18}+bx^9+70##, then: $$27\left(\frac{-q}{p}\right)^2+b\left(\frac{-q}{p}\right)+70=0$$ $$b=27 \frac{q}{p}+70 \frac{p}{q}$$ $$b=\frac{27q^2+70p^2}{pq}$$ From this expression, it looks like there is no greatest value of ##b## because increasing the value of ##p## and ##q## will also increase the value of ##b##. How to find the greatest value of ##b##? Thanks
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