How to differentiate a term with respect to metric

In summary, the conversation discusses how to write a function in terms of its variables in order to differentiate it easily. Examples of this are given using the electromagnetic tensor and a unit timelike dynamical four velocity. The process involves using the same letter to denote both covariant and contravariant tensors. The conversation also includes a calculation of the partial derivatives for the function in terms of its variables.
  • #1
the_doors
18
0

Homework Statement


for example: ##\frac{\partial(F^{ab}F_{ab})}{ \partial g^{ab}} ## where F_{ab} is electromagnetic tensor.
or ##\frac{\partial N_{a}}{\partial g^{ab}}## where ##N_{a}(x^{b}) ## is a vector field.

Homework Equations

The Attempt at a Solution


i saw people write ##F^{ab}F_{ab}## as ## g^{ca}g^{db}F_{cd} F_{ab}## and say we write the term in a way that exposes the dependence on the metric. but exactly what it means ?
 
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  • #2
You need to write your function in terms of the variables you have, in your case ##g^{ab}## and ##F_{ab}##. The contravariant ##F^{ab}## is not independent of those and so will have non zero partial derivatives wrt both. Writing it in terms of your variables let's you differentiate easier.

As a similar example: Take ##f(x,y) = xy##. The partial derivative ##\partial_yf## is simply ##\partial_y (xy) = x##. This is essentially the same. Do not be confused by the fact that you use the same letter to denote the covariant and contravariant tensors.
 
  • #3
for example if ##N_{\mu}(x^\nu)## be unit time like dynamical four velocity, what's happening ? i don't know explicit form of ##N_{\mu}##.
 
  • #4
ok we can write for first example:##\frac {\partial (g^{ca}g^{db}F_{cd}F_{ab})}{\partial g^{ef}}## = ##\frac{\partial g^{ca}}{\partial g^{ef}}g^{db}F_{cd}F_{ab}+\frac{\partial g^{db}}{\partial g^{ef}}g^{ca}F_{cd}F_{ab}+\frac{\partial F_{cd}}{\partial g^{ef}}g^{ca}g^{db}F_{ab}+\frac{\partial F_{ab}}{\partial g^{ef}}g^{ca}g^{db}F_{cd}## . is it correct ?

##\frac{\partial g^{ca}}{\partial g^{ef}}=\delta^c_{e} \delta^a_{f}## is it correct ?

what's happening for ## \frac{\partial F_{cd}}{\partial g^{ef}}## ?
 

1. What is differentiation with respect to metric?

Differentiation with respect to metric is a mathematical process used to determine the rate of change of a function with respect to a specific metric or measurement. It involves finding the derivative of the function with respect to the metric variable.

2. Why is differentiation with respect to metric important?

Differentiation with respect to metric is important because it allows us to analyze and understand how a function changes with respect to a specific metric. This is useful in many scientific fields, such as physics and economics, where understanding the rate of change is crucial in making predictions and solving problems.

3. How is differentiation with respect to metric different from regular differentiation?

Regular differentiation involves finding the rate of change of a function with respect to a variable, while differentiation with respect to metric deals specifically with finding the rate of change with respect to a non-variable metric. This means that the metric itself is not changing, but we are interested in how the function changes in relation to it.

4. What are some common examples of differentiation with respect to metric?

One common example of differentiation with respect to metric is finding the rate of change of distance with respect to time in physics, also known as velocity. Other examples include finding the rate of change of population with respect to time in biology, and the rate of change of price with respect to demand in economics.

5. What are some strategies for differentiating with respect to metric?

One strategy for differentiating with respect to metric is to use the chain rule, which states that the derivative of a composite function is equal to the derivative of the outer function multiplied by the derivative of the inner function. Another strategy is to use the product rule when differentiating a product of two functions with respect to a metric. It is also important to carefully identify the metric variable and clearly define the function before beginning the differentiation process.

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