Why is vector made different here

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In summary, repeated indices in vector notation denote a sum, where the specific index used does not matter. However, two separate sums cannot be treated as a single sum, and thus it is important to use different indices when dealing with multiple sums. This is to avoid confusion and prevent errors in calculations.
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LSMOG
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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
 

FAQ: Why is vector made different here

Why is vector made differently in different contexts?

Vector is made differently in different contexts because it is a versatile mathematical concept that can be applied in various fields such as physics, engineering, and computer science. Depending on the context, the properties and operations of vectors may vary to better suit the specific needs and applications.

What is the significance of vector being made differently?

The different ways in which vector is made allows it to be used in a wide range of applications. It provides flexibility in problem-solving and allows for more accurate and efficient solutions in different fields. Moreover, it highlights the universal applicability and versatility of vector as a mathematical concept.

How does vector being made differently affect its properties?

The way vector is made affects its properties in terms of magnitude, direction, and operations. For example, in physics, vector may have additional properties such as momentum and force, while in computer science, it may have properties related to graphics and programming. This allows for a more comprehensive understanding and use of vector in different contexts.

Can the different ways of making vector be used interchangeably?

In most cases, the different ways of making vector cannot be used interchangeably. Each context has its own set of rules and definitions for vector, and using the wrong one may result in incorrect solutions. However, there may be some overlap and similarities between different contexts, allowing for some interchangeability in certain cases.

How can one determine which way of making vector to use in a specific context?

The best way to determine which way of making vector to use in a specific context is to refer to the rules and definitions set by that particular field. It is important to understand the context and the application of vector in order to choose the most appropriate way of making it. Consulting with experts or referring to reliable resources can also help in making this decision.

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