Integrate f(z) = Re(z) along contour of the square

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Homework Help Overview

The problem involves integrating the function f(z) = Re(z) along a square contour in the complex plane, specifically defined by the vertices at {z = x + iy | |x| ≤ 1, |y| ≤ 1} with a counterclockwise orientation. Participants are exploring the implications of this integration in the context of complex analysis.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Some participants discuss the use of parametrization for the contour and the potential issues with maintaining a constant "velocity" during integration. Others suggest considering the integral directly as a limit of Riemann sums. There are also questions about the implications of the closed curve and its relation to the area enclosed.

Discussion Status

Participants are actively sharing their attempts and reasoning, with some expressing uncertainty about their methods. There is no explicit consensus, but various approaches are being explored, including both parametrization and direct integration methods.

Contextual Notes

Participants note the importance of careful handling of parametrization and the potential for violations of Cauchy's Theorem if not done correctly. The discussion reflects a mix of understanding and confusion regarding the integration process over a closed curve.

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Homework Statement



Integrate f(z) = Re(z) = [itex]\frac{z+\bar{z}}{2}[/itex] along the contour of the square {z = x + iy | |x| ≤ 1, |y| ≤ 1} with counterclockwise rotation.

Homework Equations



Cj: φj(t) = z0 + (z1 - z0)t

C1: 1 -i + 2it
C2: 1 +i - 2t
C3: -1 +i - 2it
C4: -1 -i + 2t

The Attempt at a Solution



If I'm not mistaken, because of linearity, I can simply integrate the real parts of parametrizations.
 
Last edited:
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Shackleford said:

Homework Statement



Integrate f(z) = Re(z) = [itex]\frac{z+z^bar}{2}[/itex] along the contour of the square {z = x + iy | |x| ≤ 1, |y| ≤ 1} with counterclockwise rotation.

Homework Equations



Cj: φj(t) = z0 + (z1 - z0)t

C1: 1 -i + 2it
C2: 1 +i - 2t
C3: -1 +i - 2it
C4: -1 -i + 2t

The Attempt at a Solution



If I'm not mistaken, because of linearity, I can simply integrate the real parts of parametrizations.

Try it and see what you get.

For TeX/LaTex commands: the command to get ##\bar{z}## is "\ b a r {z}" (no spaces). Also, the command "a^ bc " (no spaces) produces ##a^bc##. If you want more than one symbol in a superscript or a subscript, use { }, like this: 'a ^ {b c}" no spaces; that gives ##a^{bc}##.
 
Ray Vickson said:
Try it and see what you get.

For TeX/LaTex commands: the command to get ##\bar{z}## is "\ b a r {z}" (no spaces). Also, the command "a^ bc " (no spaces) produces ##a^bc##. If you want more than one symbol in a superscript or a subscript, use { }, like this: 'a ^ {b c}" no spaces; that gives ##a^{bc}##.

Thanks. I fixed the z-bar. I'm not quite sure that I'm handling everything correctly.

∫ f(z) dz = ∫ f ° φ(t)φ' (t) dt

I get 0, 0, 0, and -1. I think this is somehow related to the fact that it's a closed curve with one loop around the origin and the area of the curve itself.
 
Last edited:
Shackleford said:
Thanks. I fixed the z-bar. I'm not quite sure that I'm handling everything correctly.

∫ f(z) dz = ∫ f ° φ(t)φ' (t) dt

I get 0, 0, 0, and -1. I think this is somehow related to the fact that it's a closed curve with one loop around the origin and the area of the curve itself.

If I were doing it I would stay away from parametrization via t, and just deal directly with ##\int f(z)\, dz## as a standard limit like
[tex]\lim_{||P|| \to 0} \sum_{z_i \in P} f(z_i) (z_{i+1} - z_i).[/tex]
Here, ##P = P_n = [z_1, z_2,... z_n]## is a partition of the integration path and ##||P||## denotes something like ##\max_i |z_{i+1} - z_i|.## Basically, ##dz = dx + i dy##. If you use a parametrization ##z = \varphi(t)##, you need to be careful about keeping the "velocity" constant; otherwise, a ##dt## in one part of the path could give a different ##|dz|## than the same ##dt## in another part of the path. That could lead to things like violations in Cauchy's Theorem, etc. Of course, parametrization would be OK if it were done very carefully, but then it might be more trouble that it is worth.
 
Ray Vickson said:
If I were doing it I would stay away from parametrization via t, and just deal directly with ##\int f(z)\, dz## as a standard limit like
[tex]\lim_{||P|| \to 0} \sum_{z_i \in P} f(z_i) (z_{i+1} - z_i).[/tex]
Here, ##P = P_n = [z_1, z_2,... z_n]## is a partition of the integration path and ##||P||## denotes something like ##\max_i |z_{i+1} - z_i|.## Basically, ##dz = dx + i dy##. If you use a parametrization ##z = \varphi(t)##, you need to be careful about keeping the "velocity" constant; otherwise, a ##dt## in one part of the path could give a different ##|dz|## than the same ##dt## in another part of the path. That could lead to things like violations in Cauchy's Theorem, etc. Of course, parametrization would be OK if it were done very carefully, but then it might be more trouble that it is worth.

Ah, that's right. It's easy when the velocity is one.

Oh, I forgot to mention that I found the dt for each parametrization.

So, something like this - (1)(2i) + (1)(-2) + (-1)(-2i) + (1)(2)?

Using both approaches, I get zero. I guess that it means sense because it's a closed curve.
 
Last edited:

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