Tensor space theory I: over a field - Lec 08 - Frederic P Schuller

Frederic Schuller · 112K views · 2015 · 2:22:59

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Why Mathematics Stack Exchange recommends it

Mathematics Stack Exchange users link it when they ask about the definition of (p,q) tensors as multilinear maps, tensor components, and how tensors transform under a change of basis.

Recommended by 5 people across 4 different months, 2016 to 2024.

What it is

Lecture 8 of Frederic Schuller's 'Geometric Anatomy of Theoretical Physics' series, a university-style lecture on tensor space theory over a field. It defines (p,q) tensors as multilinear maps, builds the tensor space and its basis, and explains tensor components and change of basis.

What people said

Recommends user149705 · 2016-01 · Mathematics Stack Exchange · on “Book recommendation for rigorous multilinear algebra , tensor analysis, manifolds.”

I am looking for recommendation on books about multilinear algebra, tensor analysis, manifolds theory, basically everything to be able to understand basic concepts of general relativity. I am currently following two online courses by Prof Shuller on youtube ( [LINK] ). One of the course is very complete, it starts from propositional logic all the way to differential geometry. The course is really packed cause obviously there is a lot to cover. Prof Shuller make some really good point throughout the course, and at one point he explain that taking the determinant of a matrix is not always defined (i.e, it is defined if the matrix represent an endomorphism, but not define if it represent a bili

Recommends Antoni Parellada · 2017-02 · Mathematics Stack Exchange · on “Understanding the definition of tensors as multilinear maps”

The question arises from the definition of the space of $(p,q)$ tensors as the set of multilinear maps from the Cartesian product of elements of a vector space and its dual onto the field, equipped with addition and s-multiplication rules, given in this series at this point in time [this video] as follows: A $(p,q)$ tensor , $T$ is a MULTILINEAR MAP that takes $p$ copies of $V^*$ and $q$ copies of $V$ and maps multilinearly (linear in each entry) to $k:$ $$T: \underset{p}{\underbrace{V^*\times \cdots \times V^*}}\times \underset{q}{\underbrace{V\times\times \cdots V\times V}} \overset{\sim}\rightarrow K\tag 1$$ The $(p,q)$ TENSOR SPACE is defined as a set: $$\begin{align}T^p_q\,V &= \underset{p}{

Recommends Darksi · 2023-01 · Mathematics Stack Exchange · on “Components of an $(k,l)$-tensor”

I'm watching this lecture [this video] by Frederic Schuller on YouTube trying to understand the structure of the vector space $T^k_l(V)=\underbrace{V^* \otimes \dots \otimes V^*}_{l} \otimes \underbrace{V \otimes \dots \otimes V}_{k}$ and I have some difficulties with the components. If $(e_1, \dots ,e_n)$ is a basis for $V$ and $(\epsilon^1, \dots, \epsilon^n)$ is the dual basis for $V^*$ , then the basis for $T^k_l(V)$ is of the form $$e_{j_1} \otimes \dots \otimes e_{j_l} \otimes \epsilon^{i_1} \otimes \dots \otimes \epsilon^{i_k}.$$ Now any tensor $F \in T^k_l(V)$ can be written in the form $$F=F^{j_1 \dots j_l}_{i_1 \dots i_k}e_{j_1} \otimes \dots \otimes e_{j_l} \otimes \epsilon^{i_1} \otim

Recommends weirdmath · 2023-01 · Mathematics Stack Exchange · on “On the Meaning of Tensor Components (And Whether a Certain Computation Is Correct)”

I've been recently following Lecture 8 of Frederic Schuller's Geometrical Anatomy of Theoretical Physics Lecture Series [this video] . He defines the components of a type $(p, q)$ tensor as $$T^{a_1 \dots a_p}_{b_1 \dots b_q} \equiv T(\epsilon^{a_1}, \dots ,\epsilon^{a_p}, e_{b_1}, \dots, e_{b_q}),$$ and then claims that it's easy to show that $$T = T^{a_1 \dots a_p}_{b_1 \dots b_q}(e_{a_1} \otimes \dots \otimes e_{a_p} \otimes \epsilon^{b_1} \otimes \dots \otimes \epsilon^{b_q})$$ where $\{e_i\}$ are the basis vectors on V and $\{\epsilon^j \}$ is the dual basis on $V^{*}$ . When I attempt to show that I get, \begin{align*} &T^{a_1 \dots a_p}_{b_1 \dots b_q}(e_{a_1} \otimes \dots \otimes e_{a_p}

Recommends Ted Black · 2024-11 · Mathematics Stack Exchange · on “Notation for Raising and Lowering indices does not agree with matrix multiplication?”

You can think of a mixed tensor like ${X^j}_i$ as a matrix; it is a very bad idea to think of a second order covariant tensor like $F_{\alpha\beta}$ or a second order contravariant tensor like the metric tensor $\eta^{\mu\alpha}$ as a matrix. Under a change of basis a matrix $X$ transforms as $L^{-1}XL$ where $L$ is the matrix that relates the two bases. Under a change of basis a second order covariant tensor $F$ transforms as $L^\top F L $. Have a look at this video [this video] at 1:57:00.

Cites Taylor Rendon · 2021-02 · Mathematics Stack Exchange · on “Possible error in Wikipedia article for $(p,q)$ tensor space notation”

I am currently studying tensor space theory (over a field) and was reading through the generic Wikipedia article for tensors [LINK] when I cam across the following: A type $(p,q)$ tensor $T$ is a multilinear map, $T: \underbrace{V^*\times...\times V^*}_\text{p-copies}\times\underbrace{V\times...\times V}_\text{q-copies} \to K$ where $K$ is the underlying field. Where the author(s) then goes onto define the notation for the tensor product as $\underbrace{V\otimes...\otimes V}_\text{p-copies} \otimes \underbrace {V^* \otimes...\otimes V^*}_\text{q-copies}$ My question: why did they flip the usage of the $p$ 's and $q$ 's? Namely, they first called copies of the dual space $p$ and copies of the