Tutorial 3: Multilinear Algebra (International Winter School on Gravity and Light 2015)
Why Mathematics Stack Exchange recommends it
Mathematics Stack Exchange users link it when explaining tensor types, index manipulation and how tensors act on vectors and covectors.
Recommended by 1 people across 1 different months, 2017 to 2023.
What it is
A tutorial from the 2015 International Winter School on Gravity and Light, accompanying Frederic Schuller's general relativity lecture series. It covers multilinear algebra: tensors as multilinear maps, their (p,q) type, index notation and antisymmetrization.
What people said
Recommends Ben H · 2022-12 · Mathematics Stack Exchange · on “What is the operation that happens between a tensor product and a vector under matrix multiplication?”
See, for example this section of Schuller's GR tutorials [this video] , where a $(1,1)$-tensor is used to create a map from a co-vector to a co-vector (instead of a map from a vector to a vector). And, of course, watch the associated video on Multilinear Algebra [LINK] by Schuller.
Cites drlang · 2017-05 · Mathematics Stack Exchange · on “Tensor rank explanation please.”
What is the difference between (2,0) and (1,1) and (0,2) tensors? The problem I was dealing with was a map $V \times V \to \Bbb R$ Would it be correct that a map V* x V would be (1,1) and a V* x V* would be a (2,0)? The question is regarding a tutorial ( [this video] ) at where at 29:54 he says the tensor is a (0,2).
Cites Taylor Rendon · 2023-08 · Mathematics Stack Exchange · on “Proving that $A^{[ab]}B_{ab} = A^{ab}B_{[ab]}$”
On this [this video] problem sheet, I am trying to show that for tensors (given a vector space V and it's dual $V^{*}$ ) $$A:V^{*} \times V^{*} \to \mathbb{R} \\ B: V \times V \to \mathbb{R}$$ that $A^{[ab]}B_{ab} = A^{ab}B_{[ab]}$ where $A^{[ab]} := \frac{1}{2}(A^{ab} - A^{ba})$ . This seems like a straightforward calculation, but I'm not understanding the following $(*)$ line in the solution: \begin{align*} A^{[ab]}B_{ab} &= \frac{1}{2}(A^{ab}B_{ab}-\color{red}{A^{ba}B_{ab}}) \\ &= \frac{1}{2}(A^{ab}B_{ab}-A^{mn}B_{nm}) \tag{$*$} \\ &= \frac{1}{2}(A^{ab}B_{ab}-A^{ab}B_{ba}) \\ &= A^{ab}B_{[ab]} \end{align*} The instructor insists that it doesn't matter how we name the indices being summed over,