Why is vector made different here

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The discussion clarifies the importance of using distinct indices when performing summations in vector notation, particularly in the context of tensor calculus. It emphasizes that repeated indices denote a summation, and using the same index for different sums can lead to errors in calculations. The example provided illustrates how to correctly express the dot product of vectors using different indices to avoid confusion. This practice is crucial for students learning relativity and tensor analysis to prevent common mistakes in their computations.

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|r|2=r.r=uiei.ujej
Why are i and j different because we are dotting the same vector?
 
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The repeated indices denote a sum. Thus ##\vec u = u^i \vec e_i##. Since the ##i## here is a summation index, it does not matter what you call it. You can call it ##i##, ##j##, ##k##, or ##\xi## to your heart's delight without changing the meaning. What you cannot do is to take two sums where you have used the same index and treat their multiplication as a single sum. Instead, you must rename one of the summation indices and keep both sums. For example, consider your case, writing out the sums
$$
\vec u \cdot \vec u = (u^1 \vec e_1 + u^2 \vec e_2 + u^3\vec e_3) \cdot (u^1 \vec e_1 + u^2 \vec e_2 + u^3\vec e_3) = (u^i \vec e_i) \cdot (u^j \vec e_j).
$$
Consider what this would have been if you had used the same index and still summed over it
$$
u^1 \vec e_1 \cdot u^1 \vec e_1 + u^2 \vec e_2 \cdot u^2 \vec e_2 + u^2 \vec e_2 \cdot u^2 \vec e_2.
$$
You might say that you can tell the sums apart anyway but my experience after teaching relativity for several years is that you really cannot and that you really need to separate the sums using different indices. One of the more common errors students do is to use the same summation index for different sums and then they forget which belonged where and happily (until they get their test score back) sum the wrong terms together.
 
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Thanks sir
 

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