- #1
Shirish
- 244
- 32
I'm self-studying tensors from a book that doesn't have exercises. The book is Semi-Riemannian Geometry by Newman. To get a better feel for index manipulation, tensor results and calculations, I'm looking for a book that has many exercises in these topics.
I'd be grateful if those knowledgeable in the subject can point me to such books. The end use case is to get comfortable enough with tensor and index machinery that I can easily do calculations in Physics (e.g. special/general relativity, etc.)
I've studied till chapter 6, ToC here : https://onlinelibrary.wiley.com/doi/book/10.1002/9781119517566
More specifically, the topics I've covered so far are: vectors, covectors, basic linalg results, linear transformations, matrix representations of transformations/vectors/covectors, change of basis, tensors, basis/components of tensor spaces, sums/direct sums, subspace annihilator, pullback of covectors/covariant tensors by a linear transformation, ordinary and metric contraction of tensors, bilinear functions, inner product space, adjoints, orthonormal bases, linear isometries, perp, time cones, Lorentz vector spaces, flat/sharp maps and index raising/lowering (for vectors/covectors only so far).
I'd be grateful if those knowledgeable in the subject can point me to such books. The end use case is to get comfortable enough with tensor and index machinery that I can easily do calculations in Physics (e.g. special/general relativity, etc.)
I've studied till chapter 6, ToC here : https://onlinelibrary.wiley.com/doi/book/10.1002/9781119517566
More specifically, the topics I've covered so far are: vectors, covectors, basic linalg results, linear transformations, matrix representations of transformations/vectors/covectors, change of basis, tensors, basis/components of tensor spaces, sums/direct sums, subspace annihilator, pullback of covectors/covariant tensors by a linear transformation, ordinary and metric contraction of tensors, bilinear functions, inner product space, adjoints, orthonormal bases, linear isometries, perp, time cones, Lorentz vector spaces, flat/sharp maps and index raising/lowering (for vectors/covectors only so far).