What Does the Definition of a Contravariant Vector Mean in Tensor Analysis?

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The discussion centers on the definition of contravariant vectors in tensor analysis, specifically referencing Schaum's outlines. A contravariant vector is defined mathematically as \bar{T}^i=T^r\frac{\partial\bar{x}^i}{\partial x^r}, where \bar{x}^i and x^r represent components of different coordinate systems. The conversation highlights the relationship between vector components and coordinate transformations, illustrating that as the basis vectors elongate, the contravariant components shrink to maintain the vector's invariant length. The participants clarify misconceptions regarding the growth of vector components relative to coordinate systems.

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HasuChObe
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So I'm looking at Schaum's outlines for Tensors and the definition of a Contravariant vector is
<br /> \bar{T}^i=T^r\frac{\partial\bar{x}^i}{\partial x^r}<br />
Where \bar{x}^i and x^r denote components of 2 different coordinates (the superscript does not mean 'to the power of') and T^i and T^r are contravariant tensors of order 1 (aka, a vector).

Lets say you have some 2-D vector {\bf v}. It can be described as
<br /> {\bf v}=\bar{T}^1\hat{\bar{e}}_1+\bar{T}^2\hat{\bar{e}}_2=T^1\hat{e}_1+T^2 \hat{e}_2<br />
The vector {\bf v} is the same length, but the basis for each vector may be different. If the operation from (\hat{e}_1,\hat{e}_2)\rightarrow(\hat{\bar{e}}_1,\hat{\bar{e}}_2) performs elongation, then (T^1,T^2)\rightarrow(\hat{T}^1,\hat{T}^2) will shrink (and vice versa) to preserve the shape of {\bf v}. In this case, (T^1,T^2) are said to be contravariant vectors because they grow contrary to the direction that the basis grows in. However, the definition I found in Schaum's outlines seem to say the opposite.

For example, if
<br /> \bar{T}^i=2,\,T^r=1,\,\frac{\partial\bar{x}^i}{\partial x^r}=2<br />
Does that not say that going from unbarred to barred coordinates, the vector components are growing and so is the coordinate system? I must be confusing myself.
 
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The last equation is unjustified.
 
Can you elaborate?
 
Let's just look at a 1 dimensional example (your example), take ##\bar{x}^1=2x^1## So that ##\frac{\partial \bar{x}^1}{\partial x^1}=2##. Then your example says if ##T^1=1## then ##\bar{T}^1=2##. Let's just assume the space is flat so things are easy.

But what does ##\bar{x}^1=2x^1## mean? At the point where the old ##x^1=1## the new ##\bar{x}^1=2##. So, if you think about it a bit, you will realize that your coordinates have actually shrank since you need a larger number to describe the same distance. In other words, it would be like if you switched from meters to half-meter measurements. Where the old coordinate says 1 meter, your new coordinate says 2 half meters. Therefore, your old vector was 1 meter long, your new vector is 2 half meters long. The length of the vector has remained invariant. In this example, the two vectors both point to a distance 1 meter from the origin!
 
Good explanation!
 

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