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

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Discussion Overview

The discussion revolves around the properties of a function defined in a region using Green's identities, specifically focusing on harmonic functions and their behavior on boundaries. Participants explore the implications of a function being zero on the boundary of a region and the conditions under which this leads to the function being zero throughout the region.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant asserts that if a function \( u \) is defined in a region \( \Omega \) and is zero on the boundary \( \Gamma \), then \( u \) must be zero throughout \( \Omega \), using examples of \( u = XY \) and \( u = X + Y \).
  • Another participant questions the conditions on \( u \) and suggests that the assertion holds true if \( u \) is harmonic.
  • A later reply clarifies that \( \Omega \) is a simple or multiply connected open region and that \( u \) is a harmonic function on \( \Gamma \), seeking further understanding of why harmonic functions behave this way.
  • One participant explains that the assertion is true if \( \Omega \) is bounded, noting that harmonic functions cannot have local maxima or minima within the region, which must occur on the boundary.
  • Another participant provides an example of a harmonic function that does not satisfy the assertion when \( \Omega \) is unbounded, specifically mentioning the half-plane case.
  • There is a request for more information about harmonic functions, including their definitions and properties.

Areas of Agreement / Disagreement

Participants generally agree that the assertion about harmonic functions being zero throughout the region holds under certain conditions, particularly when \( \Omega \) is bounded. However, there is disagreement regarding the applicability of the assertion in unbounded regions, indicating multiple competing views.

Contextual Notes

The discussion highlights limitations related to the definitions of boundedness and the specific conditions under which the properties of harmonic functions apply. There is also a mention of unresolved mathematical steps regarding the implications of harmonicity.

yungman
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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.
 
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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.
 
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.
 
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.
 
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?
 
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.)
 
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
 

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