Adjoint of the scalar Lie derivative?

In summary, for any continuous linear operator A: H \rightarrow H from a Hilbert space H to itself, there exists a unique continuous linear operator A^* called its Hermitian adjoint satisfying \langle Ax, y \rangle = \langle x, A^* y \rangle for all x, y \in H. The operator \mathcal{L}_X: \Omega^0(M) \rightarrow \Omega^0(M) has a Hermitian adjoint \mathcal{L}_X^*: \Omega^0(M) \rightarrow \Omega^0(M) and is used in a directional analog of Green's first identity. However, it is not self-adjoint.
  • #1
fuzzytron
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For every continuous linear operator [tex]A: H \rightarrow H[/tex] from a Hilbert space [tex]H[/tex] to itself, there is a unique continuous linear operator [tex]A^*[/tex] called its Hermitian adjoint such that

[tex]\langle Ax, y \rangle = \langle x, A^* y \rangle[/tex]​

for all [tex]x,y \in H[/tex].

Given that [tex]\mathcal{L}_X: \Omega^0(M) \rightarrow \Omega^0(M)[/tex] (i.e., the Lie derivative on differential 0-forms over a manifold [tex]M[/tex]) is such an operator, what is its Hermitian adjoint?

Ultimately I'm after a "directional" analog of Green's first identity, something like

[tex]\int_M (\mathcal{L}_X f)^2 = \langle \mathcal{L}_X f, \mathcal{L}_X f \rangle = \langle f, \mathcal{L}_X ( \mathcal{L}_X f ) \rangle,[/tex]​

but it does not appear that [tex]\mathcal{L}_X[/tex] is self-adjoint.
 
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  • #2
The Hermitian adjoint of \mathcal{L}_X: \Omega^0(M) \rightarrow \Omega^0(M) is the operator \mathcal{L}_X^*: \Omega^0(M) \rightarrow \Omega^0(M) defined by \langle \mathcal{L}_X f, g \rangle = \langle f, \mathcal{L}_X^* g \rangle for all f, g \in \Omega^0(M).
 

Related to Adjoint of the scalar Lie derivative?

1. What is the definition of the adjoint of the scalar Lie derivative?

The adjoint of the scalar Lie derivative is a mathematical operation used in differential geometry to measure the infinitesimal change of a scalar function along a vector field. It is denoted by L* and is defined as the transpose of the Jacobian matrix of the scalar Lie derivative operator.

2. How is the adjoint of the scalar Lie derivative related to the Lie derivative?

The adjoint of the scalar Lie derivative is closely related to the Lie derivative, as it is the transpose of the Jacobian matrix of the latter. It is used to measure the change of a scalar function along a vector field, while the Lie derivative measures the change of a tensor field along a vector field.

3. What is the significance of the adjoint of the scalar Lie derivative in differential geometry?

The adjoint of the scalar Lie derivative is an important tool in differential geometry, as it allows for the calculation of Lie derivatives of higher-order tensors. It also plays a crucial role in the study of Lie groups and their actions on manifolds.

4. How is the adjoint of the scalar Lie derivative used in practical applications?

The adjoint of the scalar Lie derivative is commonly used in the study of dynamical systems, particularly in the field of control theory. It is also used in the development of numerical methods for solving differential equations and in the study of geometric structures on manifolds.

5. Are there any other names for the adjoint of the scalar Lie derivative?

Yes, the adjoint of the scalar Lie derivative is also known as the co-adjoint operator or the adjoint operator of the Lie derivative. It is also sometimes referred to as the co-Jacobian or the adjoint Jacobian operator.

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