(wald) method for calculating curvature

In summary, the conversation discusses the coefficient (-2) and (2) in the general form of the curvature tensor and the notation for antisymmetrization of indices. The formula for antisymmetrization is given as f([a,d,b],c) = \frac{1}{n!} (even permutations - odd permutations), where n is the number of variables inside the brackets. It is also mentioned that the curvature tensor R_{a}_{[b}_{c}_{d]} is equal to zero when antisymmetrized. The origin of the formula for antisymmetrization is not clear.
  • #1
nulliusinverb
7
0
R[itex]_{a}[/itex][itex]_{b}[/itex][itex]_{c}[/itex][itex]^{d}[/itex]ω[itex]_{d}[/itex]=((-2)[itex]\partial[/itex][itex]_{[a}[/itex][itex]\Gamma[/itex][itex]^{d}[/itex][itex]_{b] }[/itex][itex]_{c}[/itex]+2[itex]\Gamma[/itex][itex]^{e}[/itex][itex]_{[a]}[/itex][itex]_{c}[/itex][itex]\Gamma[/itex][itex]^{d}[/itex][itex]_{}[/itex][itex]_{e}[/itex])ω[itex]_{d}[/itex]

good, me question is about of:

1.- as appear the coefficient (-2) und the (2)?

2.- it is assumed that:
[itex]\partial[/itex][itex]_{[a}[/itex][itex]\Gamma[/itex][itex]^{d}[/itex][itex]_{b]}[/itex][itex]_{c}[/itex]=[itex]\partial[/itex][itex]_{a}[/itex][itex]\Gamma[/itex][itex]^{d}[/itex][itex]_{b}[/itex][itex]_{c}[/itex]+[itex]\partial[/itex][itex]_{b}[/itex][itex]\Gamma[/itex][itex]^{d}[/itex][itex]_{a}[/itex][itex]_{c}[/itex]

also the general form is: (maybe my problem is with the notation)

R[itex]_{a}[/itex][itex]_{b}[/itex][itex]_{c}[/itex][itex]^{d}[/itex]ω[itex]_{d}[/itex]=([itex]\partial[/itex][itex]_{a}[/itex][itex]\Gamma[/itex][itex]^{d}[/itex][itex]_{b}[/itex][itex]_{c}[/itex]-[itex]\partial[/itex][itex]_{b}[/itex][itex]\Gamma[/itex][itex]^{d}[/itex][itex]_{a}[/itex][itex]_{c}[/itex]+[itex]\Gamma[/itex][itex]^{e}[/itex][itex]_{a}[/itex][itex]_{c}[/itex][itex]\Gamma[/itex][itex]^{d}[/itex][itex]_{b}[/itex][itex]_{e}[/itex]-[itex]\Gamma[/itex][itex]^{e}[/itex][itex]_{b}[/itex][itex]_{c}[/itex][itex]\Gamma[/itex][itex]^{d}[/itex][itex]_{a}[/itex][itex]_{e}[/itex])ω[itex]_{d}[/itex]

thank very much!
 
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  • #2
Brackets around a pair of indices means antisymmetrize. So

[aΓdb]c = ½(∂aΓdbc - ∂bΓdac)
 
  • #3
Bill_K said:
Brackets around a pair of indices means antisymmetrize. So

[aΓdb]c = ½(∂aΓdbc - ∂bΓdac)

Trying to do the latex is giving me fits. But since we have three variables inside the brackets, shouldn't we write

[tex] f([a,d,b],c) = \frac{1}{6} \left[ f(a,d,b,c) + f(d,b,a,c) + f(b,a,d,c) - f(a,b,d,c) - f(b,d,a,c) - f(d,a,b,c) \right] [/tex]

i.e [itex]\frac{1}{n!} [/itex] (even permutations - odd permutations), where n=3?
 
  • #4
pervect, we have two variables inside the brackets, a and b.

ok... but see the curvature tensor:

R[itex]_{a}[/itex][itex]_{[b}[/itex][itex]_{c}[/itex][itex]_{d]}[/itex]=0

it is definition equal of the tensor antisymmetric in the brackets?

(where it origines ∂[aΓdb]c = ½(∂aΓdbc - ∂bΓdac) ? )


thank very much!
 
  • #5


1. The coefficient (-2) and (2) appear in the second term of the equation, which is the product of the partial derivatives of the Christoffel symbols. This coefficient comes from the fact that the Christoffel symbols are defined as the second derivatives of the metric tensor, and when taking the derivative of the derivative, a factor of (-2) appears. The (2) comes from the fact that the Christoffel symbols are symmetric in their lower indices, so when taking the partial derivative, we need to account for both terms.

2. Yes, it is assumed that the partial derivatives of the Christoffel symbols follow the general form you have mentioned. This is a common notation in differential geometry and is used to simplify the expressions. The notation with the brackets [a] and indicates that we are taking the antisymmetric combination of the indices a and b. This is necessary because the Christoffel symbols are not symmetric in their upper indices, so we need to take the antisymmetric combination to get the correct result.
 

Related to (wald) method for calculating curvature

1. What is the (wald) method for calculating curvature?

The Wald method for calculating curvature is a statistical technique used to estimate the curvature of a curve or surface. It is commonly used in fields such as mathematics, physics, and engineering to analyze the curvature of various objects or phenomena.

2. How does the (wald) method work?

The Wald method works by taking a set of data points and fitting a curve or surface to those points. It then calculates the curvature of the fitted curve or surface using a mathematical formula. This method is based on the principle that the curvature of a curve or surface can be estimated by looking at the second derivative of the curve or surface at each data point.

3. What are the advantages of using the (wald) method for calculating curvature?

One of the main advantages of using the Wald method for calculating curvature is that it is a relatively simple and straightforward technique. It also allows for the estimation of curvature in cases where direct measurement is not possible. Additionally, the Wald method can be applied to a wide range of data sets, making it a versatile tool for studying curvature in various contexts.

4. Are there any limitations to the (wald) method for calculating curvature?

Like any statistical technique, the Wald method has its limitations. It assumes that the data points are normally distributed and that the curve or surface being fitted is smooth and continuous. In some cases, these assumptions may not hold, leading to inaccurate curvature estimates. It is also important to choose an appropriate curve or surface model when using the Wald method, as a poorly chosen model can also result in inaccurate curvature calculations.

5. How is the (wald) method for calculating curvature used in real-world applications?

The Wald method for calculating curvature has a wide range of applications in various fields. For example, in physics and engineering, it is used to analyze the curvature of space-time in general relativity, as well as the curvature of surfaces in materials science. In mathematics, it is used to study the curvature of curves and surfaces in differential geometry. Overall, the Wald method is a valuable tool for understanding and analyzing curvature in different contexts.

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