Tensor Derivatives Homework Help

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In summary, the conversation is about the derivative of a tensor in a thesis on fluid mechanics. The author is taking the derivative of the momentum flux tensor and the final result is \rho u_{\alpha}\partial_{x_\alpha}u_{\beta} + \partial_{x_\alpha}p. However, the conversation does not provide enough information to fully understand how this result is derived and what the variables represent. Further information is needed, such as the definition of P_{\alpha\beta} and u, as well as other equations involving them.
  • #1
Niles
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Homework Statement


Hi

I am reading about some fluid mechanics, when suddenly I read saw that someone took the derivate of a tensor. It is in this thesis, on page 26 eq. (70). It is the final equality I can't understand.

So the author is taking the derivate [itex]\partial_{x_{\alpha}} P_{\alpha\beta}[/itex] of the momentum flux tensor. How on Earth does this end up giving [itex]
\rho u_{\alpha}\partial_{x_\alpha}u_{\beta} + \partial_{x_\alpha}p
[/itex]?


Thanks in advance for hints/help.
 
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  • #2
You give us the definition of [itex] P_{\alpha\beta} [/itex] and we will answer your question! Deal?
 
  • #3
Shyan said:
You give us the definition of [itex] P_{\alpha\beta} [/itex] and we will answer your question! Deal?

Sorry, here it is:

[tex]
P_{\alpha\beta} = p\delta_{\alpha\beta} + (u_1^2, u_1u_2; u_2u_1, u_2^2)
[/tex]

Here p is a constant and and u a vector.

Deal! :redface:
 
Last edited:
  • #4
Your tensor can also be written as [itex] P_{\alpha\beta}=p \delta_{\alpha\beta}+u_{\alpha}u_{\beta} [/itex].

Let [itex] \partial_{\alpha}=\partial_{x_{\alpha}} [/itex].

Then we have [itex] \partial_{\alpha}P_{\alpha\beta}=\partial_{\alpha} p \delta_{\alpha\beta}+u_{\beta}\partial_{\alpha}u_{\alpha}+ u_{\alpha} \partial_{\alpha} u_{\beta} [/itex]

This is all that can be said without adding other assumptions.Only that [itex] \partial_{\alpha} p \delta_{\alpha\beta}=0 [/itex] because p is a constant!

So,you should see whether there are other assumptions too or not.For example [itex] \partial_{\alpha}u_{\alpha} [/itex] is the divergence of the vector u.It may be zero so we will have [itex] \partial_{\alpha}P_{\alpha\beta}=u_{\alpha} \partial_{\alpha} u_{\beta}(+ \partial_{\alpha} p \delta_{\alpha\beta}=0) [/itex] which is near to what you want.But I don't know where that [itex] \rho [/itex] comes from.Can you give the definition of u and also other equations involving them?
 
  • #5
I'll check it out, but it seems [itex]p\propto \rho[/itex] (from the thesis). It doesn't say anything about the gradient of u though.

Due to Einstein summation [itex]\partial_{\alpha}u_\alpha[/itex] is the gradient of u, but what is [itex]u_{\alpha\partial_\alpha u\beta}[/itex]?
 

Related to Tensor Derivatives Homework Help

What are tensor derivatives?

Tensor derivatives are mathematical operations used to calculate the rate of change of a tensor (a multidimensional array of numbers) with respect to another tensor or a scalar variable. They are frequently used in fields such as physics, engineering, and machine learning.

Why are tensor derivatives important?

Tensor derivatives are important because they allow us to model and analyze complex systems by describing how they change over time or in response to different inputs. They are also used in optimization algorithms to find the minimum or maximum value of a function.

What are some common applications of tensor derivatives?

Tensor derivatives are used in a wide range of applications, including physics (for example, in general relativity and quantum mechanics), engineering (for analyzing stress and strain in materials), and machine learning (for training neural networks and performing gradient descent).

What is the difference between a tensor derivative and a regular derivative?

A regular derivative is a mathematical operation that calculates the rate of change of a function with respect to a single variable. A tensor derivative, on the other hand, calculates the rate of change of a multidimensional array of numbers (tensor) with respect to another tensor or a scalar variable. This allows for a more comprehensive understanding of how a system is changing.

Are there any special rules or properties for calculating tensor derivatives?

Yes, there are special rules and properties for calculating tensor derivatives, such as the product rule, chain rule, and quotient rule. It is also important to pay attention to the order of indices and the symmetry of tensors when performing these operations.

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