Relativity Math of GR Exercises from Spacetime & Geometry by Sean Carroll

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The discussion centers on the search for resources that provide practice problems related to the mathematical concepts of manifolds and curvature, particularly as they pertain to general relativity (GR). The original poster is looking for exercises that focus on the mathematical techniques used in GR, rather than the physics applications, and expresses frustration with the lack of relevant exercises in existing GR texts. Recommendations include a book that offers extensive examples and a visual introduction to differential forms and calculus on manifolds, which covers topics in more depth than Sean Carroll's book. There is also a mention of a deleted recommendation for a specific book, indicating a desire for more structured problem sets that align closely with Carroll's chapters. Additionally, there is a brief tangent discussing Lie series and their application in solving differential equations, with a reference to a paper for further details. Overall, the conversation highlights the need for more targeted mathematical resources for physicists studying GR.
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I have been reading the book Spacetime and Geometry by Sean Carroll, especially Ch. 2 Manifolds and Ch. 3 Curvature. I'm just wondering are there any lecture notes or books with lots of practice problems (with solutions or at least answers the better) that is suitable for physicist?

To give an example, in section 2.3, the book talks about how the tangent space is defined and how tangent vectors are constructed; exercises might be of the form, given a coordinate transformation find this and that, or show that this and that are orthogonal, etc. I'm seeking for exercises that allows for practice using these concepts that are relevant to physicist. Some people might recommend just plain pure math references where you need to prove this and that, but that is not what I'm looking for.

The exercises should focus more on the "math used in GR" (but still tailored for physicist) as opposed to the physics of GR like, find the gravitational time dilation of..., compute the variation of the lagrangian and find the EOM, etc.

So in short, exercises that are relevant to Ch. 2 Manifolds and Ch. 3 Curvature of the book. I already know many GR resources like Zee, Nightingale, Schutz, Ohanian, Rindler, Blau, Tong, etc. but their exercises are either too few or have no immediate relevance to the topics mentioned above. I find that exercises related to the math of GR to be not abundant, at least in the context of GR books that I know of.
 
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CJ2116 said:
You might want to look at A Visual Introduction to Differential Forms and Calculus on Manifolds. He covers in whole chapters what Carroll only discusses in a few paragraphs (i.e. pushfowards/pullbacks, deriving the covariant form of Maxwell's Equations etc.) So many examples as well. This is one of my favorite math books!
Very nice book, seems very promising! Didn't know there exist a book.
 
Also, just wanted to ask if anybody knows of any notes that follow Carroll's book or at least expounds on his book? Specifically, Ch. 2 Manifolds and Ch. 3 Curvature. The book recommended by @CJ2116 is a very nice alternative look though.
 
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martinbn said:
What is Lie series?
After some web-searching it seems that Lie series are exponentials of operators.
 
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martinbn said:
What is Lie series?
It's just a way to solve differential equations, essentially, it's just saying, given a differential equation, even simple ones like ##\frac{du}{dt} = -u^2, u_0 = 1## can be solved by using an exponential+series i.e ##u(t) = e^{-tu^2 \frac{d}{du}}u|_{u_0}##

In order to get the solution ##u(t) = \frac{1}{1+t}## you must expand out the exponential using a series.

I think, technically, it is using something with vector fields (hence why we have ##-u^2 \frac{d}{du}## in the exponential), but I wouldn't know the pure math details as I don't have the book near me, nor do I think it goes into that much detail, nor have I applied this technique that often to need to know the more grainy details.

EDIT: Here is a paper for those who want more details: https://www.sciencedirect.com/science/article/pii/0022247X8490057X
 
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