Question about function defined in a region using Green's identities.

In summary: Turing's brilliant paper "Computing Machinery and Intelligence" was published in 1950. In summary, he is discussing the possibility of computers that can think.
  • #1
yungman
5,755
293
I want to verify my understand of this.

Let [itex] u[/itex] defined in region [itex] \Omega[/itex] with boundary [itex] \Gamma[/itex].

If [itex] u = 0 \hbox { on the boundary } \Gamma[/itex], then [itex] u = 0 \hbox { in the region } \Omega[/itex].


The way to look at this, suppose [itex] u[/itex] is function of x component called Xand y component called Y. So either u=XY or u=X+Y.

1) If u=XY, u=0 mean either X or Y equal zero on [itex] \Gamma[/itex]. That can only happen if X or Y is identically equal to zero within the range of x or y.

2) If u=X+Y, u=0 means both X and Y identically equal to zero within the range of x and y.

Am I correct?

I am confuse, if I declare u=0 only on [itex] \Gamma[/itex] and equal to x+y anywhere else, then the assertion cannot not be true! Please help.
 
Last edited:
Physics news on Phys.org
  • #2
Please give more information. What are u and Ω? It looks like Ω is some nice subset of R2, but what conditions are there on u? Why is u = XY or u = X + Y?

You are certainly correct if there is no restriction on u. However, the statement is true if, say, u is harmonic.
 
  • #3
Thanks for your reply, I am getting desperate!

[itex]\Omega[/itex] is a simple or multiply connect open region and [itex]\Gamma[/itex] is the boundary of [itex]\Omega[/itex] on xy plane. [itex]u[/itex] is a harmonic function on [itex]\Gamma[/itex]. Why if u is harmonic function, then u=0 in [itex]\Omega[/itex]

The example of u=XY or u=X+Y is only an example that I gave where u is a function of both [itex]X(x) \; \hbox{ and }\; Y(y)[/itex]. There u can be XY or X+Y to cover all cases.
 
  • #4
That statement is true if Ω is also bounded. The point is that a harmonic function cannot have any local maxima or minima, so if u has a maximum or minimum in the closure of Ω (which is the case if Ω is bounded, because then its closure is compact), then that must be on the boundary Γ. But if u is 0 on Γ, then for all x in Ω, 0 ≤ u(x) ≤ 0.
 
  • #5
adriank said:
That statement is true if Ω is also bounded. The point is that a harmonic function cannot have any local maxima or minima, so if u has a maximum or minimum in the closure of Ω (which is the case if Ω is bounded, because then its closure is compact), then that must be on the boundary Γ. But if u is 0 on Γ, then for all x in Ω, 0 ≤ u(x) ≤ 0.

Ω is totally surounded by Γ if that is what you mean. Think of Γ is a circle surounding Ω in the middle where Ω is a simple region.

Can you explain the harmonic function a little bit more or give me a link on this? My book and a few links I looked up only said harmonic function has to have continuous first and second derivative and [itex]\nabla u =0[/itex].

BTW, how do you get symboms like Ω and Γ direct without going into latex?
 
  • #6
By bounded I mean the usual definition that it doesn't go off to infinity. For example, the statement isn't true if Ω is the half-plane x > 0. (Then the function u(x, y) = x is harmonic, takes the value 0 on the boundary of Ω, but is not zero on Ω.) But if Ω is bounded, then its closure (which is the union of Ω and Γ) is compact, and then it works.

Here's a Wikipedia link.

(As for the symbols, probably the easiest way is to look up the name on Wikipedia and copy+paste. There is also Unicode Character Search.)
 
  • #7
adriank said:
By bounded I mean the usual definition that it doesn't go off to infinity. For example, the statement isn't true if Ω is the half-plane x > 0. (Then the function u(x, y) = x is harmonic, takes the value 0 on the boundary of Ω, but is not zero on Ω.) But if Ω is bounded, then its closure (which is the union of Ω and Γ) is compact, and then it works.

Here's a Wikipedia link.

(As for the symbols, probably the easiest way is to look up the name on Wikipedia and copy+paste. There is also Unicode Character Search.)

After I wrote the last post, I decided to move on to the next section in the book. They start talking Gauss mean value and maximun minimum principle, I guess the question is ahead of the chapter, need to study the next section to understand the question.

Thanks

Alan
 

FAQ: Question about function defined in a region using Green's identities.

What are Green's identities and how are they used in defining functions in a region?

Green's identities are a set of theorems in vector calculus that relate the behavior of a function defined in a region to the behavior of its derivatives on the boundary of that region. They are used to solve problems involving partial differential equations and to define functions in a region by using the values of the function and its derivatives on the boundary.

Can Green's identities be applied to any type of function or region?

Yes, Green's identities can be applied to any type of function and any region, as long as the function and its derivatives are well-behaved and defined in the region of interest. They are commonly used in physics and engineering to solve problems involving functions defined in 2D or 3D regions.

3. How do Green's identities relate to other theorems in vector calculus?

Green's identities are closely related to the Divergence Theorem and the Stokes' Theorem, as they all involve the relationship between a function and its derivatives on a region and its boundary. These theorems are derived from the fundamental theorem of calculus and are essential tools in solving problems involving vector fields and integrals.

4. Are there any limitations to using Green's identities in solving problems?

While Green's identities are powerful tools in solving problems involving functions defined in a region, they do have some limitations. They may not be applicable to all types of boundary conditions or regions with complex geometries. In addition, they may not provide a unique solution in some cases, and further analysis may be needed to obtain a complete understanding of the problem.

5. How can Green's identities be visualized and understood?

Green's identities can be visualized and understood by using graphical representations, such as contour plots and vector fields, to illustrate the behavior of a function and its derivatives on a region and its boundary. Additionally, numerical simulations and examples can help to demonstrate the application of Green's identities in solving real-world problems.

Back
Top