A fundamental solution and its derivatives

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SUMMARY

The discussion centers on the relationship between fundamental solutions of partial differential equations (PDEs) and their derivatives. It establishes that while the derivatives of a fundamental solution, denoted as D(f), may also be solutions to the PDE, this is contingent upon the commutation of the differential operator L with differentiation. Specifically, the commutator [L,D] must equal zero for the derivatives to also be solutions. The conversation references the Laplace equation and provides examples illustrating the conditions under which derivatives maintain the solution property.

PREREQUISITES
  • Understanding of partial differential equations (PDEs)
  • Familiarity with differential operators and their properties
  • Knowledge of commutators in the context of linear operators
  • Basic concepts of vector calculus, including gradient and Laplacian
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  • Study the properties of commutators in differential operators
  • Explore the implications of the Laplace equation in various coordinate systems
  • Learn about the application of the product rule in differentiation of functions
  • Investigate the relationship between scalar and vector Laplacians in vector calculus
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Mathematicians, physicists, and engineers working with partial differential equations, particularly those interested in the properties of solutions and their derivatives in the context of vector calculus.

hanson
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Hello, if I have a fundamental solution, ,f, to a partial differential equation L(f)=0, where L is the differential operator, is that true that the derivatives of the fundamental solution, like D(f), will also be solution to the partial differential equation?

Intuitively, is it because things are linear, so I can always interchange the derivatives with the original differential operator of the PDE: L(D(f))=D(L(f))=0?
 
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It is not for the most part to do with linearity. As you say it depends on the commutator of the operator with differentiation.
Is [L,D]=LD-DL=0?
Consider some examples from ODE.
D[D^2+3D-7]=[D^2+3D-7]D=[D^3+3D^2-7D]
They commute so if f is a solution Df is as well.
what about xD-1?
D[xD-1]=xD^2+D
[xD-1]D=xD^2-D
These are not equal, the operators do not commute.
f=x is a solution of [xD-1]f=0
but Dx=1 is not.
 
lurflurf said:
It is not for the most part to do with linearity. As you say it depends on the commutator of the operator with differentiation.
Is [L,D]=LD-DL=0?
Consider some examples from ODE.
D[D^2+3D-7]=[D^2+3D-7]D=[D^3+3D^2-7D]
They commute so if f is a solution Df is as well.
what about xD-1?
D[xD-1]=xD^2+D
[xD-1]D=xD^2-D
These are not equal, the operators do not commute.
f=x is a solution of [xD-1]f=0
but Dx=1 is not.

Thanks for your reply. I think I get it, but why
D[D^2+3D-7]=[D^3+3D^2-7D],
but
D[xD-1]=xD^2+D ?
Should D[xD-1]=xD^2+D-D = xD^2?
 
hanson said:
Thanks for your reply. I think I get it, but why
D[D^2+3D-7]=[D^3+3D^2-7D],
but
D[xD-1]=xD^2+D ?
Should D[xD-1]=xD^2+D-D = xD^2?
I had written out a long response until I realized I had read it backwards! You are completely correct.

D[xD- 1]= D(xD)- D and, using the product rule, that is D(x)D+ xD(D)- D= D+ xD^2- D= xD^2. "D[xD- 1]= xD^2- D" is wrong. You can "factor" constants out of the differential expression but not functions of the variable.
 
HallsofIvy said:
I had written out a long response until I realized I had read it backwards! You are completely correct.

D[xD- 1]= D(xD)- D and, using the product rule, that is D(x)D+ xD(D)- D= D+ xD^2- D= xD^2. "D[xD- 1]= xD^2- D" is wrong. You can "factor" constants out of the differential expression but not functions of the variable.

Thank you very much!
 
Let's focus on the Laplace equation. Is there a good way to understand the following?
If I have a fundamental solution f to the Laplace equation, then the gradient of f is also a solution to the Laplace equation. I can see why if I express Laplace equation in Cartesian coordinates, and see they the operators commutes in Cartesian coordinates. But is there a coordinate-free way to see this?
 
Are you working in 3-space? Strictly speaking the Laplacian of a vector and of Laplacian of a scalar are not identical, but it is a minor concern. All the usual vector operators like Laplacian, gradient, curl and divergence should commute since they do not have spatial dependence.
Recall the following basic identities
Laplacian(vector)=grad(div(vector))-curl(curl(vector))
Laplacian(scalar)=div(grad(scalar))
curl(grad(scalar))=0

so if we have for scalar f
Laplacian(f)=
Laplacian(grad(f))=grad(div(grad(f)))-curl(curl(grad(f)))=grad(0)-curl(0)=0
 
lurflurf said:
Are you working in 3-space? Strictly speaking the Laplacian of a vector and of Laplacian of a scalar are not identical, but it is a minor concern. All the usual vector operators like Laplacian, gradient, curl and divergence should commute since they do not have spatial dependence.
Recall the following basic identities
Laplacian(vector)=grad(div(vector))-curl(curl(vector))
Laplacian(scalar)=div(grad(scalar))
curl(grad(scalar))=0

so if we have for scalar f
Laplacian(f)=
Laplacian(grad(f))=grad(div(grad(f)))-curl(curl(grad(f)))=grad(0)-curl(0)=0

Thanks lurflurf. Let me read it in detail.
 

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