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What is the adjoint representation of Sl(2,C). Can anyone help explain this please?

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    Can you describe what you already understand about it? – Vincent Dec 12 '19 at 21:18
  • Yes, in general the adjoint representation is a map ad: L ----> Der(L), x--->adx. So in this case would it just be a 2x2 matrix of some kind? @Vincent oh and the trace of the matrix x must be =1 i believe? – ConnectNumbers66 Dec 12 '19 at 21:29

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From your comment I understand that you are talking about the Lie algebra $\mathfrak{sl}(2, \mathbb{C})$ not the group $SL(2, \mathbb{C})$.

Let's zoom out a bit and talk about Lie algebra representations in general.

Lie algebra representations involve (obviously) a Lie algebra $\mathfrak{g}$, but equally importantly a vector space $V$.

The third and final ingredient is a map $\phi \colon \mathfrak{g} \to End(V)$, where the latter is the space of all linear maps from $V$ to itself (equivalently: the space of all $n \times n$-matrices, with $n = \dim V$), viewed as a Lie algebra with bracket $[A, B] = AB - BA$.

So the map $\phi$ assigns to each element $X \in \mathfrak{g}$ a matrix (or linear map, depending on your perspective). This is in line with your comment.

Also in line with your comment we can say that in the special case of adjoint representations the map $\phi$ is called 'ad'. But before we can say what is this map we must first answer the more important question: what is the space $V$?

This is the important part: the vector space $V$ on which the Lie algebra acts is the lie algebra $\mathfrak{g}$ itself! We forget some of its structure, and just see it as a vector space.

So in the case of $\mathfrak{g} = \mathfrak{sl}(2, \mathbb{C})$ we have that the representation space $V$ is three dimensional and hence for each $X \in \mathfrak{sl}(2, \mathbb{C})$ the corresponding matrix $ad(X)$ is a three-by-three (not two by two) matrix!

However, in this case things are a bit easier if you think about $ad(X)$ not so much as a matrix but more as a linear transformation, i.e. a linear map sending elements of the vector space $\mathfrak{g}$ to elements of the vector space $\mathfrak{g}$. In this setting the map $ad(X)$ (for any Lie algebra, not just $\mathfrak{sl}(2, \mathbb{C})$) is easily described:

$ad(X)$ is the map that takes an element $Y$ and sends it to the element $[X, Y]$

It is a nice exercise to compute the corresponding matrix with respect to a vector space basis of $\mathfrak{g}$. Elements of $\mathfrak{g}$ now appear in two ways: as vectors in the representation space $V$ (which just happens to be $\mathfrak{g}$ itself), and as matrices acting on that space (their images under ad).

For instance, if I take the standard basis of $\mathfrak{sl}(2, \mathbb{C})$ where $E$ is the two-by-two matrix with a 1 in the top right corner, and otherwise zeroes, $F$ is its transpose, and $H$ is the diagonal matrix with 1 in the top left and -1 in the lower right corner then, viewed as an element of the space $V$ the element $E$ looks like the vector $\begin{pmatrix} 1 \\ 0 \\ 0 \end{pmatrix}$.

The element $ad(E)$ on the other hand looks like $\begin{pmatrix} 0 & 0 & - 2 \\ 0 & 0 & 0 \\ 0 & 1 & 0 \end{pmatrix}$.

It is easy to see that if you multiply matrix $ad(E)$ with vector $E$ you get the zero-vector. This is correct because the outcome should be the vector corresponding to $[E, E]$, which is zero. Similarly since $[E, F] = H$ we know that $ad(E)$ maps $F$ to $H$ and hence that multiplying the matrix $ad(E)$ given above with the vector $\begin{pmatrix} 0 \\ 1 \\ 0 \end{pmatrix}$ we will get the vector $\begin{pmatrix} 0 \\ 0 \\ 1 \end{pmatrix}$ corresponding to $H$ in the $\{E, F, H\}$ basis.

See if you can compute the matrices corresponding to $ad(F)$ and $ad(H)$ yourself!

Vincent
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  • sl2 has the following "axioms": $[EF] = H, [EH]=-2E,[FH]=2F$.

    i have something else for $ad(E)$: $\begin{pmatrix} 0 & 0 & 2 \ 0 & 0 & 0 \ 0 & 1 & 0 \end{pmatrix}$

    for $ad(F)$: $\begin{pmatrix} 0 & 0 & 0 \ 0 & 0 & +2 \ -1 & 0 & 0 \end{pmatrix}$

    and finally $ad(H)$: $\begin{pmatrix} 2 & 0 & 0 \ 0 & -2 & 0 \ 0 & 0 & 0 \end{pmatrix}$

    this sort of feels wrong?

    my thoughts were (hand-wavy):

    $E \mapsto e_1$ (then represent $[EF] = H$, then $e_1 \mapsto e_3$ and thats what is put into the matrix for $ad_E(F)$?) $F \mapsto e_2$ and $H \mapsto e_3$

    thanks!

    – Ameyah Feb 21 '21 at 16:35
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    Hi, as you say: $[E, H] = -2E$. So the map $ad(E)$ sends vector $H$ (also known as $e_3$) to -2 times vector $E$, also known as -2 times $e_1$. Now for any matrix $A$ the third column of $A$ equals the vector $Ae_3$ written out in the standard basis. So in our case where $A = ad(E)$ and hence $Ae_3 = -2e_1$ we get that the third column of $ad(E)$ must read (from top to bottom): -2, 0, 0. So there is a minus sign missing in your $ad(E)$. Your $ad(F)$ and $ad(H)$ are correct. – Vincent Feb 21 '21 at 22:55
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    Now you can check that with my $ad(E)$ and your $ad(F)$ and $ad(H)$ we do indeed get $[ad(E), ad(F)] = ad(H)$, $[ad(H), ad(E)] = 2ad(E)$, $[ad(H), ad(F)] = -2ad(F)$. Where [ ] is defined by [A, B] = AB - BA, the ordinary Lie bracket for 3x3-matrices – Vincent Feb 21 '21 at 22:57
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    Ahh yeah is see it now! indeed $ad(E)$ has -2 instead of my 2. thanks for replying that quickly. – Ameyah Feb 22 '21 at 13:20