Books about tensor analysis just good enough for physics

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SUMMARY

This discussion focuses on the search for concise yet effective books on tensor analysis suitable for physics applications, particularly in areas like group theory, relativistic quantum mechanics, and quantum field theory. The user references "Mathematical Methods for Physicists" by Arfken, Weber, and Harris, expressing difficulty in solving exercises related to tensors. The conversation highlights the importance of understanding tensor differentiation and transformation properties, as well as the relevance of completing the remaining chapters on Jacobians and differential forms for a comprehensive grasp of the subject.

PREREQUISITES
  • Understanding of tensor differentiation and transformation properties
  • Familiarity with the concepts of covariant and contravariant tensors
  • Basic knowledge of multivariable calculus and chain rule
  • Experience with mathematical methods in physics, particularly in quantum mechanics
NEXT STEPS
  • Study the transformation properties of tensors in detail
  • Learn about Jacobians and their applications in tensor analysis
  • Explore differential forms and their relevance to physics
  • Review additional resources on group theory and its connection to tensor analysis
USEFUL FOR

Students and professionals in physics, particularly those focusing on mathematical methods, tensor analysis, and applications in quantum mechanics and field theory.

Haorong Wu
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Hi. I am looking for a book about tensor analysis. I am aware that there have been some post about those books, but I wish to find a thin book rather than a tome but just good enough for physics, such as group theory, relativistic quantum mechanics, and quantum field theory.

I am reading Mathematical Methods for Physicists by Arfken, Weber, Harris. The content in the chapter of tensors is quite easy to understand, but when it comes to the exercises, I can only solve half of them. Besides, even looking at the solutions, I can not understand them.

For example,
If ##T_{...i}## is a tensor of rank ##n##, show that ##\partial {T_{...i}} / \partial {x^j}## is a tensor of rank ##n+1##. (Cartesian coordinates).

The solution is just a sentence that
As the gradient transforms like a vector, it is clear that the gradient of a tensor field of rank ##n## is a tensor of rank ##n+1##.

I cannot understand the solution at all. Maybe the content of this chapter is not self-content?

By the way, what would you do if the problems in some book are hard to solve? I have read nonlinear optics by Boyd and quantum optics by Scully. I find that I can handle the content of these two books, but I can not solve most of the problems. My tutor ask me to just read the books, and leave the problems aside. However I do not feel good enough if I cannot solve problems. Maybe I have some problems...
 
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Not as a correct mathematics but to be accustomed to the way, I will show
\frac{\partial T_{abc...hi}}{\partial x^j }=T_{abc...hi \ \mathbf{,\ j}}
It shows that differentiation by contra variant component is one more addition to covariant component and "," means this differentiation or gradient.
For an example of rank 0 tensor, scalar ##\phi##
\frac{\partial \phi}{\partial x^i}=\phi_{,i}=-\mathbf{E}
minus electric field vector (= rank 1 tensor of covariant component ) in electrostatics for i={1,2,3}.
 
Last edited:
anuttarasammyak said:
vector (= rank 1 tensor of covariant component )

Standard nomenclature is that it's covector, not vector. But you can transform it to a vector using metric tensor.
 
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anuttarasammyak said:
Not as a correct mathematics but to be accustomed to the way, I will show
\frac{\partial T_{abc...hi}}{\partial x^j }=T_{abc...hi \ \mathbf{,\ j}}
It shows that differentiation by contra variant component is one more addition to covariant component and "," means this differentiation or gradient.
For an example of rank 0 tensor, scalar ##\phi##
\frac{\partial \phi}{\partial x^i}=\phi_{,i}=-\mathbf{E}
minus electric field vector (= rank 1 tensor of covariant component ) in electrostatics for i={1,2,3}.
Thanks! But I still do not understand the solution.

By the way, I have finished tensor analysis, pseudotensors, dual tensors, tensors in general coordinates. the remaining part of the chapter have Jacobians, differential Forms, differentiating forms, and integrating forms. Should I finish the remaining part? I do not see the connections between them and those subjects that I am going to learn, such as group theory, quantum field theory, and relativistic quantum mechanics.

If they are not relavent to those areas, I would direct my limited time to other chapters.
 
Haorong Wu said:
Should I finish the remaining part?

I am not qualified to the fields you mentioned, but I recommend you to go through the text anyway. You will be more confident on the mathematics and get a place to come back when you really need it.
 
Haorong Wu said:
I am reading Mathematical Methods for Physicists by Arfken, Weber, Harris. The content in the chapter of tensors is quite easy to understand, but when it comes to the exercises, I can only solve half of them. Besides, even looking at the solutions, I can not understand them.

For example,The solution is just a sentence thatI cannot understand the solution at all. Maybe the content of this chapter is not self-content?

My copy of Arfken and Weber has decided to self-isolate at a location different from my location, so I do not have it at hand. Probably Arfken, Weber, and Harris define tensors as quantities that have certain transformation properties under a change of coordinates. (It is difficult for me to imagine that Arfken, Weber, and Harris define tensors as multilinear maps.)

As an example, consider a tensor (with components) ##T_{ab}##. Define a new quantity ##A_{abc}## by
$$A_{abc} = \frac{\partial T_{ab}}{\partial x^c}.$$

By considering a new coordinate system, and by using the multivariable chain rule, show that ##A_{abc}## has the right transformation property to be a tensor.
 

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