Notation for vector coordinates in a given basis

In summary, when dealing with changes of basis and linear operators, it is important to be precise about which vector is being referred to and in which basis. This can be achieved using the notation $[v]_{\mathcal{E}}$ to denote the coordinates of vector $v$ in basis $\mathcal{E}$. Using this notation, we can prove various properties, such as $[\varphi v]_{\mathcal{E}}=[\varphi]_{\mathcal{E}}[v]_{\mathcal{E}}$, which shows that the matrix of a linear operator $\varphi$ in a basis $\mathcal{E}$ can be found by multiplying the coordinate vectors of $v
  • #1
Evgeny.Makarov
Gold Member
MHB
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Sorry for a long post. I am looking for a clear and concise way to explain how to compute coordinates when changes of basis or linear operators are involved. I would like to avoid the summation notation as much as possible and use the definition of matrix multiplication only in the beginning, when it is indeed necessary. I would like to be able to explain things like the following.

  • Why is it that when a change of basis occurs, we express the "old" coordinates through the "new" ones, but when a linear operator is applied, we express the "new" coordinates through the "old" ones?
  • How to find the matrix of a linear operator in a different basis?
  • Suppose a linear operator $\varphi$ on $\Bbb R^n$ maps a sequence of vectors $\mathcal{A}=(a_1,\dots,a_n)$ to $\mathcal{B}=(b_1,\dots,b_n)$ and $\mathcal{A}$ is linear independent. How to find the matrix of $\varphi$ in basis $\mathcal{E}$ given coordinates of $\mathcal{A}$ and $\mathcal{B}$ in $\mathcal{E}$?

While it is possible to explain the change of basis referring to "new" and "old" coordinates of a single vector in two bases, applying an operator $\varphi$ to a vector $v$ involves four sets of coordinates:
  • coordinates of $v$ in the initial basis $\mathcal{E}$,
  • coordinates of $\varphi v$ in the initial basis $\mathcal{E}$,
  • coordinates of $v$ in the new basis $\varphi\mathcal{E}$ and
  • coordinates of $\varphi v$ in the new basis $\varphi\mathcal{E}$.
It's no longer enough to use $x$ and $x'$ for coordinates. It really helps if we can say precisely which vector in which basis has which coordinates.

A popular idea is to write $[v]_{\mathcal{E}}$ to refer to coordinates of vector $v$ in basis $\mathcal{E}$. Similarly, $[\varphi]_{\mathcal{E}}$ denotes the matrix of $\varphi$ in $\mathcal{E}$ and if $\mathcal{E}'=(e_1',\dots,e_n')$, then $[\mathcal{E}']_{\mathcal{E}}$ is the matrix with columns $[e_1']_{\mathcal{E}},\dots,[e_n']_{\mathcal{E}}$, i.e., the transition matrix from $\mathcal{E}$ to $\mathcal{E}'$. By definition,
\[
[\varphi]_{\mathcal{E}}=[\varphi\mathcal{E}]_{\mathcal{E}}.\tag{1}
\]
Then we can state and prove the following properties.
\begin{align}
&[\mathcal{E}']_{\mathcal{E}}[v]_{\mathcal{E}'}=[v]_{\mathcal{E}}\tag{2}\\
&[v]_{\mathcal{E}}=[\varphi v]_{\mathcal{\varphi E}}\tag{3}
\end{align}

Using this, we can prove that
\[
[\varphi v]_{\mathcal{E}}=[\varphi]_{\mathcal{E}}[v]_{\mathcal{E}}.\tag{4}
\]
Indeed,
\[
[\varphi v]_{\mathcal{E}}\overset{(2)}{=}[\varphi\mathcal{E}]_{\mathcal{E}}[\varphi v]_{\mathcal{\varphi E}}
\overset{(1)}{=}[\varphi]_{\mathcal{E}}[\varphi v]_{\varphi\mathcal{E}}\overset{(3)}{=}[\varphi]_{\mathcal{E}}[v]_{\mathcal{E}}.\tag{5}
\]

For another example, here is the summary of Deveno's explanation that $[\varphi]_{\mathcal{E}'}=[\mathcal{E}]_{\mathcal{E}'}[\varphi]_{\mathcal{E}}[\mathcal{E}']_{\mathcal{E}}$ https://driven2services.com/staging/mh/index.php?posts/55983/. For any $v$,
\[
[\mathcal{E}]_{\mathcal{E}'}[\varphi]_{\mathcal{E}}[\mathcal{E}']_{\mathcal{E}}[v]_{\mathcal{E}'}
\overset{(2)}{=}
[\mathcal{E}]_{\mathcal{E}'}[\varphi]_{\mathcal{E}}[v]_{\mathcal{E}}
\overset{(4)}{=}
[\mathcal{E}]_{\mathcal{E}'}[\varphi v]_{\mathcal{E}}
\overset{(2)}{=}
[\varphi v]_{\mathcal{E}'}.
\]

This notation seems short and expressive, but unfortunately $[v]_{\mathcal{E}}$ does not make sense if $\mathcal{E}$ is not a basis. So if $\varphi$ is not an isomorphism, then the proof (5) does not quite work.

It is possible to define the inverse operation: if $x$ is a column of numbers, then $(x)_{\mathcal{E}}\overset{\text{def}}{=}\mathcal{E}x$ is the linear combination of vectors from $\mathcal{E}$ with coefficients $x$. This operation is well-defined even if $\mathcal{E}$ are linearly dependent. I have not yet finished rewriting (1)-(4) using this notation, but even if this is possible, I am wondering if the proofs would not be too obscure and giving little insight.

How do authors and lecturers usually deal with this? Also, I am wondering if there is a generalization of the operation of taking coordinates. Perhaps coordinates can be thought of as a morphism in category theory from $V\times\dots\times V$ to $V$ taking a basis into a vector. Maybe such a generalization can give a hint for a suitable notation.

Thank you.
 
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  • #2
ThePerfectHacker said:
Who needs change-of-basis when one has commutative diagrams?

Suppose $\alpha: \mathcal A \to \mathcal E$ and $\beta: \mathcal B \to \mathcal E$ are the canonical transformations. And suppose $M_\phi$ is the requested matrix.

View attachment 3078

Then:
$$M_\phi = \beta \circ \varphi \circ \alpha^{-1}$$
 

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Related to Notation for vector coordinates in a given basis

1. What is the purpose of notation for vector coordinates in a given basis?

The notation for vector coordinates in a given basis is used to represent the components of a vector in a specific coordinate system or basis. It allows for easy calculation and manipulation of vectors in a given basis.

2. How is notation for vector coordinates in a given basis written?

The notation typically consists of a combination of numbers and symbols, with each number representing the magnitude of the vector in a particular direction. The symbols used may vary but commonly include subscripts and unit vectors.

3. What is the significance of using a given basis in notation for vector coordinates?

The use of a given basis allows for a standardized and consistent way of representing vectors in a specific coordinate system. This is important for communication and understanding in various fields including math, physics, and engineering.

4. How does notation for vector coordinates in a given basis differ from other coordinate systems?

The notation for vector coordinates in a given basis may differ from other coordinate systems in terms of the symbols used and the direction of the vectors. For example, Cartesian coordinates use x, y, z coordinates while polar coordinates use r, θ, φ coordinates.

5. Can notation for vector coordinates in a given basis be used for any type of vector?

Yes, the notation for vector coordinates in a given basis can be used for any type of vector, including both 2D and 3D vectors. It is a versatile and universal method of representing vectors in a specific coordinate system.

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