Question

The commutator of two linear transformations $L, M: V \rightarrow V$ on a vector space $V$ is $$ K=[L, M]=L \circ M-M \circ L \text {. } $$ (a) Prove that the commutator $K$ is a linear transformation on $V$. (b) Explain why Exercise 1.2 .30 is a special case. (c) Prove that $L$ and $M$ commute if and only if $[L, M]=\mathrm{O} . \quad(d)$ Compute the commutators of the linear transformations defined by the following pairs of matrices: (i) $\left(\begin{array}{ll}1 & 1 \\ 0 & 1\end{array}\right),\left(\begin{array}{rr}-1 & 0 \\ 1 & 2\end{array}\right)$, (ii) $\left(\begin{array}{rr}0 & 1 \\ -1 & 0\end{array}\right),\left(\begin{array}{rr}1 & 0 \\ 0 & -1\end{array}\right)$, (iii) $\left(\begin{array}{lll}1 & 1 & 0 \\ 1 & 0 & 1 \\ 0 & 1 & 1\end{array}\right), \quad\left(\begin{array}{rrr}-1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & -1\end{array}\right)$. (e) Prove that the Jacobi identity $$ [[L, M], N]+[[N, L], M]+[[M, N], L]=\mathrm{O} $$ is valid for any three linear transformations. $(f)$ Verify the Jacobi identity for the first three matrices in part $(c)$. $(g)$ Prove that the commutator $B[L, M]=[L, M]$ defines a bilinear $\operatorname{map} B: \mathcal{L}(V, V) \times \mathcal{L}(V, V) \rightarrow \mathcal{L}(V, V)$ on the Cartesian product space, cf. Exercise 7.1.18.

    The commutator of two linear transformations $L, M: V \rightarrow V$ on a vector space $V$ is
$$
K=[L, M]=L \circ M-M \circ L \text {. }
$$
(a) Prove that the commutator $K$ is a linear transformation on $V$. (b) Explain why Exercise 1.2 .30 is a special case. (c) Prove that $L$ and $M$ commute if and only if $[L, M]=\mathrm{O} . \quad(d)$ Compute the commutators of the linear transformations defined by the following pairs of matrices:
(i) $\left(\begin{array}{ll}1 & 1 \\ 0 & 1\end{array}\right),\left(\begin{array}{rr}-1 & 0 \\ 1 & 2\end{array}\right)$,
(ii) $\left(\begin{array}{rr}0 & 1 \\ -1 & 0\end{array}\right),\left(\begin{array}{rr}1 & 0 \\ 0 & -1\end{array}\right)$,
(iii) $\left(\begin{array}{lll}1 & 1 & 0 \\ 1 & 0 & 1 \\ 0 & 1 & 1\end{array}\right), \quad\left(\begin{array}{rrr}-1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & -1\end{array}\right)$.
(e) Prove that the Jacobi identity
$$
[[L, M], N]+[[N, L], M]+[[M, N], L]=\mathrm{O}
$$
is valid for any three linear transformations. $(f)$ Verify the Jacobi identity for the first three matrices in part $(c)$. $(g)$ Prove that the commutator $B[L, M]=[L, M]$ defines a bilinear $\operatorname{map} B: \mathcal{L}(V, V) \times \mathcal{L}(V, V) \rightarrow \mathcal{L}(V, V)$ on the Cartesian product space, cf. Exercise 7.1.18.
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Applied Linear Algebra (Undergraduate Texts in Mathematics)
Applied Linear Algebra (Undergraduate Texts in Mathematics)
Peter J. Olver,… 2nd Edition
Chapter 7, Problem 47 ↓

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- To show that $K$ is linear, we need to verify that it satisfies linearity: $K(u + v) = K(u) + K(v)$ and $K(\alpha u) = \alpha K(u)$ for all $u, v \in V$ and $\alpha \in \mathbb{F}$ (the field over which $V$ is defined). - Consider $K(u + v) = (L \circ M - M  Show more…

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The commutator of two linear transformations $L, M: V \rightarrow V$ on a vector space $V$ is $$ K=[L, M]=L \circ M-M \circ L \text {. } $$ (a) Prove that the commutator $K$ is a linear transformation on $V$. (b) Explain why Exercise 1.2 .30 is a special case. (c) Prove that $L$ and $M$ commute if and only if $[L, M]=\mathrm{O} . \quad(d)$ Compute the commutators of the linear transformations defined by the following pairs of matrices: (i) $\left(\begin{array}{ll}1 & 1 \\ 0 & 1\end{array}\right),\left(\begin{array}{rr}-1 & 0 \\ 1 & 2\end{array}\right)$, (ii) $\left(\begin{array}{rr}0 & 1 \\ -1 & 0\end{array}\right),\left(\begin{array}{rr}1 & 0 \\ 0 & -1\end{array}\right)$, (iii) $\left(\begin{array}{lll}1 & 1 & 0 \\ 1 & 0 & 1 \\ 0 & 1 & 1\end{array}\right), \quad\left(\begin{array}{rrr}-1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & -1\end{array}\right)$. (e) Prove that the Jacobi identity $$ [[L, M], N]+[[N, L], M]+[[M, N], L]=\mathrm{O} $$ is valid for any three linear transformations. $(f)$ Verify the Jacobi identity for the first three matrices in part $(c)$. $(g)$ Prove that the commutator $B[L, M]=[L, M]$ defines a bilinear $\operatorname{map} B: \mathcal{L}(V, V) \times \mathcal{L}(V, V) \rightarrow \mathcal{L}(V, V)$ on the Cartesian product space, cf. Exercise 7.1.18.
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Key Concepts

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Linear Transformation
A linear transformation is a function between two vector spaces that preserves the operations of vector addition and scalar multiplication. It allows the mapping of vectors from one space to another in a way that maintains the structure of the space, ensuring that combinations of vectors are treated consistently through the transformation.
Commutator of Linear Transformations
The commutator of two linear transformations, defined as [L, M] = L ? M - M ? L, measures the extent to which the two transformations fail to commute. It is itself a linear transformation and plays a central role in understanding the non-commutative structure of operators, which is a fundamental concept in areas such as Lie algebras and quantum mechanics.
Matrix Representation and Computation of Commutators
When linear transformations are represented as matrices, the commutator becomes the difference of the products of these matrices taken in different orders. This concrete computation helps illustrate abstract algebraic concepts and is used to analyze the behavior of systems in linear algebra and related fields.
Bilinearity
A bilinear map is a function that is linear in each of its arguments independently. The property that the commutator defines a bilinear map means that it respects addition and scalar multiplication in each argument separately, which is crucial for the commutator to be used as a bracket operation in the study of Lie algebras.
Jacobi Identity
The Jacobi identity is an essential property of the commutator that ensures the structure of a Lie algebra. It states that for any three operators, the sum of the cyclic permutations of nested commutators is zero. This identity is fundamental in ensuring consistency in the algebraic structure and appears frequently in the study of symmetries and conservation laws in physics.

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