What is the Purpose of Green's Function?

Lf(x)=f(x)$$.In summary, the Green's function is a useful integral kernel that can be used to solve linear differential equations with appropriate boundary conditions. It is defined by the linear differential operator \mathcal{L}, an arbitrary point \mathbf{\xi} in \mathbb{R}^n, and the Dirac Delta function. By using the Green's function, one can derive an integral representation for the solution of a given linear differential equation. However, this method requires knowledge of the explicit form of both the Green's function and the given function, and not all linear differential operators have a corresponding Green's function. Additionally, Green's functions are considered distributions rather than classical functions
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Definition/Summary

Green's function [itex]G\left(\mathbf{x},\mathbf{\xi}\right)[/itex] can be defined thus

[tex]\mathcal{L}G\left(\mathbf{x},\mathbf{\xi}\right) + \delta\left(\mathbf{x} - \mathbf{\xi}\right) = 0\;\;\; \mathbf{x},\mathbf{\xi} \in \mathbb{R}^n[/tex]

Where [itex]\mathcal{L}[/itex] is a linear differential operator, [itex]\mathbf{\xi}[/itex] is an arbitrary point in [itex]\mathbb{R}^n[/itex] and [itex]\delta[/itex] is the Dirac Delta function.

Equations



Extended explanation

The Green's function for a particular linear differential operator [itex]\mathcal{L}[/itex], is an integral kernel that can be used to solve differential equations with appropriate boundary conditions. Given a linear differential equation

[tex]\mathcal{L}u\left(\mathbf{x}\right) = \psi\left(\mathbf{x}\right)\ \ \ \ \ \ \left(*\right)[/tex]

and the Green's function for the linear differential operator [itex]\mathcal{L}[/itex], one can derive an integral representation for the solution [itex]u\left(\mathbf{x}\right)[/itex] as follows:

Consider the definition of Green's function above

[tex]\mathcal{L}G\left(\mathbf{x},\mathbf{\xi}\right) + \delta\left(\mathbf{x} - \mathbf{\xi}\right) = 0 \Leftrightarrow \mathcal{L}G\left(\mathbf{x},\mathbf{\xi}\right) = -\delta\left(\mathbf{x} - \mathbf{\xi}\right)[/tex]

Now multiplying through by [itex]\psi\left(\mathbf{\xi}\right)[/itex] and integrating over some bounded measure space [itex]\Omega[/itex] with respect to [itex]\mathbf{\xi}[/itex]

[tex]-\int_\Omega \delta\left(\mathbf{x} - \mathbf{\xi}\right)\psi\left(\mathbf{\xi}\right) d\mathbf{\xi} = \int_\Omega \mathcal{L}G \left(\mathbf{x},\mathbf{\xi}\right) \psi\left(\mathbf{\xi}\right) d\mathbf{\xi}\hspace{2cm}\left(**\right)[/tex]

Noting that by the properties of the Dirac Delta function

[tex]\int_\Omega \delta\left(\mathbf{x} - \mathbf{\xi}\right)\psi\left(\mathbf{\xi}\right) d\mathbf{\xi} = \psi\left(\mathbf{x}\right)[/tex]

And from (*)

[tex]\int_\Omega \delta\left(\mathbf{x} - \mathbf{\xi}\right)\psi\left(\mathbf{\xi}\right) d\mathbf{\xi} = \mathcal{L}u\left(\mathbf{x}\right)[/tex]

Hence (**) may be rewritten thus

[tex] \mathcal{L}u\left(\mathbf{x}\right) = - \int_\Omega \mathcal{L}G \left(\mathbf{x},\mathbf{\xi}\right) \psi\left(\mathbf{\xi}\right) d\mathbf{\xi}[/tex]

Since [itex]\mathcal{L}[/itex] is a linear differential operator, which does not act on the variable of integration we may write:

[tex]u\left(\mathbf{x}\right) = - \int_\Omega G\left(\mathbf{x},\mathbf{\xi}\right) \psi\left(\mathbf{\xi}\right) d\mathbf{\xi}[/tex]

Hence we have obtained an integral representation for [itex]u\left(x\right)[/itex]. However, to evaluate this integral knowlagde of the explicit form of both [itex]G\left(\mathbf{x},\mathbf{\xi}\right)[/itex] and [itex]\psi\left(\mathbf{\xi}\right)[/itex] are required. Furthermore, even if both [itex]G\left(\mathbf{x},\mathbf{\xi}\right)[/itex] and [itex]\psi\left(\mathbf{\xi}\right)[/itex] are known, the associated integral may not be a trivial exercise. In addition, every linear differential operator does not admit a Green's Function.

It would also be prudent to point out at this point that in general, Green's functions are distributions rather than classical functions.

* This entry is from our old Library feature. If you know who wrote it, please let us know so we can attribute a writer. Thanks!
 
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  • #2
For short, a Green's function ##G## can be used to determine a given function ##f##:

Loosely speaking, if such a function ##G## can be found for the operator ##L##, then, if we multiply the equation
$$
LG(x,\xi) = \delta(\xi -x)
$$
for the Green's function by ##f(\xi)##, and then integrate with respect to ##\xi##, we obtain,
$$
\int LG(x,\xi)f(\xi)\,d\xi=\int \delta (x-\xi)f(\xi)\,ds=f(x)
$$
 
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Related to What is the Purpose of Green's Function?

1. What is the definition of Green's function?

Green's function, also known as the Green's operator, is a mathematical function used to solve certain types of differential equations. It represents the response of a system to an impulse input at a specific point or boundary of the system.

2. What is the significance of Green's function in physics and engineering?

Green's function plays a crucial role in many fields of physics and engineering, such as in electromagnetism, quantum mechanics, and fluid dynamics. It allows for the calculation of solutions to differential equations, which are used to model and understand physical systems.

3. How is Green's function related to the concept of superposition?

Green's function is closely related to the concept of superposition, which states that the response of a system to multiple inputs is equal to the sum of the responses to each individual input. Green's function allows for the decomposition of a complex system into simpler, individual responses.

4. What is the difference between the homogeneous and inhomogeneous forms of Green's function?

The homogeneous form of Green's function represents the solution to a differential equation with a zero input (or homogeneous boundary conditions), while the inhomogeneous form represents the solution to a differential equation with a non-zero input (or inhomogeneous boundary conditions).

5. Are there any practical applications of Green's function in real-world problems?

Yes, Green's function has many practical applications in real-world problems. For example, it is used in engineering to analyze and design complex systems such as electrical circuits and heat transfer systems. It is also used in physics to study the behavior of particles in quantum systems.

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