Exploring the Dependence of Variables in the Triplet (TM,M,$\pi$)

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In summary, the triplet (TM,M,\pi) is a vector bundle called the tangent bundle TM such that M is its manifold basis, \pi : TM \rightarrow M the canonical projection. (x^i,y^i) is a local coordinate system on a map (\pi^{-1}(U),\varphi_{U}), where x^i is the system of map coordinates (U,\varphi) of M and y^i are as y= y^i\frac{\partial}{\partial x^i}}. If we take a new system of coordinates (\tilde{x}^{i},\tilde{y}^{i}
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math6
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The triplet \left ( TM,M,\pi \right ) is a vector bundle called the tangent bundle TM such that M is its manifold basis, \pi : TM \rightarrow M the canonical projection. \left ( x^{i},y^{i} \right ) is a local coordinate system on a map \left ( \pi^{-1}(U),\varphi_{U} \right ).
x^{i} is the system of map coordinates \left ( U,\varphi \right ) of M and y^{i} are as
y= y^{i}\frac{\partial }{\partial x^{i}} , y \in T_{x}M .
Now if we take a new system of coordinates \left ( \tilde{x}^{i}, \tilde{y}^{i} \right )
on a map ( \pi^{-1}(V),\phi _{U} \right ) . \tilde{x}^{i} is the system of map coordinates \left ( V,\psi \right ) of M.
Then after the change of coordinates we have the following results :
( 1) \frac{\partial }{\partial \tilde{x}^{i}} = \frac{\partial x^{k}}{\partial \tilde{x}^{i}}\frac{\partial }{\partial x^{k}} .
(2) \tilde{y}^{j}= \frac{\partial x^{j}}{\partial \tilde{x}^{l}}y^{l}.

My question is this: It is clear from (1) that {x}^{i} depends \tilde{x}^{j} (and vice versa)
also {y}^{i} depends \tilde{y}^{j}. So \tilde{y}^{j} does it depend of {x}^{i} ?
What is the value then of \frac{\partial \tilde{y}^{j}}{\partial x^{i}} ?

In short, I seek the independence of variables \left ( x^{i},y^{i} \right ) and \left ( \tilde{x}^{i}, \tilde{y}^{i} \right ).
 
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Please put itex or tex tags around the LaTeX expressions. Use the preview feature to verify that they images look the way you intended. You need to refresh and resend after each preview (due to a bug).
 
  • #3
Yes, use the features. Now, the whole point is that coordinates [itex]x^i[/itex] in a natural way coordinates on the tangent bundle. And normally this is how the tangent bundle is described. I am not sure from your post whether [itex]y^i[/tex] are the induced coordinates in this way, or "any coordinates", for instance referring to some selected "moving frame".
 
  • #4
The triplet [tex]\left ( TM,M,\pi \right )[/tex] is a vector bundle called the tangent bundle [tex]TM[/tex] such that [tex]M[/tex] is its manifold basis, [tex]\pi : TM \rightarrow M[/tex] the canonical projection. [tex]\left ( x^{i},y^{i} \right )[/tex] is a local coordinate system on a map [tex]\left ( \pi^{-1}(U),\varphi_{U} \right )[/tex].
[tex]x^{i}[/tex] is the system of map coordinates [tex]\left ( U,\varphi \right )[/tex] of [tex]M[/tex] and [tex]y^{i}[/tex] are as
[tex]y= y^{i}\frac{\partial }{\partial x^{i}} , y \in T_{x}M[/tex] .
Now if we take a new system of coordinates [tex]\left ( \tilde{x}^{i}, \tilde{y}^{i} \right )[/tex]
on a map [tex]( \pi^{-1}(V),\phi _{U} \right ),\tilde{x}^{i})[/tex] is the system of map coordinates [tex]\left ( V,\psi \right )[/tex] of [tex]M[/tex].
Then after the change of coordinates we have the following results :
(1) [tex]\frac{\partial }{\partial \tilde{x}^{i}} = \frac{\partial x^{k}}{\partial \tilde{x}^{i}}\frac{\partial }{\partial x^{k}}[/tex] .
(2) [tex]\tilde{y}^{j}= \frac{\partial x^{j}}{\partial \tilde{x}^{l}}y^{l}[/tex].

My question is this: It is clear from (1) that [tex]{x}^{i}[/tex] depends [tex]\tilde{x}^{j}[/tex] (and vice versa)
also [tex]{y}^{i}[/tex] depends [tex]\tilde{y}^{j}[/tex] So [tex]\tilde{y}^{j}[/tex] does it depend of [tex]{x}^{i}[/tex] ?
What is the value then of [tex]\frac{\partial \tilde{y}^{j}}{\partial x^{i}}[/tex] ?

In short, I seek the independence of variables [tex]\left ( x^{i},y^{i} \right )[/tex] and [tex]\left ( \tilde{x}^{i}, \tilde{y}^{i} \right )[/tex]

Although I don't have an answer to your question, this might help you get more responses by those that are more knowledgeable.

Kevin
 
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  • #5


I would first like to commend you on your thorough understanding of the concept of the tangent bundle and its coordinate systems. Your question about the independence of variables is a valid one and can be answered by exploring the mathematical relationships given in your statements.

From (1), we can see that the partial derivative of \tilde{x}^{i} with respect to x^{j} is equal to the Jacobian matrix \frac{\partial x^{k}}{\partial \tilde{x}^{i}}. This matrix represents the change of coordinates from the \tilde{x}^{i} system to the x^{j} system. Similarly, from (2), we can see that the partial derivative of \tilde{y}^{j} with respect to x^{i} is equal to the Jacobian matrix \frac{\partial x^{j}}{\partial \tilde{x}^{l}}. This matrix represents the change of coordinates from the \tilde{y}^{j} system to the y^{l} system.

Therefore, the value of \frac{\partial \tilde{y}^{j}}{\partial x^{i}} can be calculated by taking the product of these two Jacobian matrices, which represents the change of coordinates from the \tilde{y}^{j} system to the x^{i} system. In other words, it represents the dependence of \tilde{y}^{j} on x^{i}.

In conclusion, the variables \left ( x^{i},y^{i} \right ) and \left ( \tilde{x}^{i}, \tilde{y}^{i} \right ) are not independent as they are connected through the coordinate transformations given in (1) and (2). The value of \frac{\partial \tilde{y}^{j}}{\partial x^{i}} represents the dependence of \tilde{y}^{j} on x^{i}.
 

FAQ: Exploring the Dependence of Variables in the Triplet (TM,M,$\pi$)

What is the Triplet (TM,M,$\pi$)?

The Triplet (TM,M,$\pi$) refers to a set of three variables that are interdependent and affect each other's values. TM represents the target variable, M represents the moderator variable, and $\pi$ represents the predictor variable.

Why is it important to explore the dependence of variables in the Triplet (TM,M,$\pi$)?

Understanding the relationship between these variables can provide valuable insights into how they influence each other and ultimately impact the outcome of a study or experiment. It allows for more accurate predictions and can help identify potential confounding factors.

What methods can be used to explore the dependence of variables in the Triplet (TM,M,$\pi$)?

Some common methods used to explore the dependence of variables in the Triplet (TM,M,$\pi$) include correlation analysis, regression analysis, and path analysis. These techniques can help determine the strength and direction of the relationships between the variables.

What are some potential limitations of exploring the dependence of variables in the Triplet (TM,M,$\pi$)?

One limitation is that these methods only show correlations and cannot determine causation. Additionally, the results may not be generalizable to other populations or settings. It is also important to consider potential biases and confounding factors that may affect the results.

How can the findings from exploring the dependence of variables in the Triplet (TM,M,$\pi$) be applied in real-world situations?

The findings can be used to inform decision-making and guide interventions or strategies in various fields such as medicine, psychology, and social sciences. For example, understanding the relationship between variables can help identify risk factors for a particular disease and inform prevention efforts.

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