Real number calculus vs complex calculus

In summary: Because the area under a complex curve is not simply the product of the areas under the individual curves.
  • #1
THE HARLEQUIN
52
4
I have started studying complex integration recently and i just can't seem to get the things in my head .
the biggest problem i am facing is that :
when solving real number integrals the area under the curve of the function is what integration means ...
but i can't seem to find an analogy between this and complex integration ...
 
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  • #3
THE HARLEQUIN said:
I have started studying complex integration recently and i just can't seem to get the things in my head .
the biggest problem i am facing is that :
when solving real number integrals the area under the curve of the function is what integration means ...
but i can't seem to find an analogy between this and complex integration ...

Consult the book "visual complex analysis" by Needham.

Also, it is a variant of path integration, so you should first be comfortable with that. Path integrals can be easily interpreted as an area under a curve. http://en.wikipedia.org/wiki/Line_integral#mediaviewer/File:Line_integral_of_scalar_field.gif
 
  • #4
micromass said:
Also, it is a variant of path integration, so you should first be comfortable with that. Path integrals can be easily interpreted as an area under a curve. http://en.wikipedia.org/wiki/Line_integral#mediaviewer/File:Line_integral_of_scalar_field.gif
i thought complex plane is a 2 dimensional plane just like our cartesian plane ... so why can't i just take the area under the curve in complex plane here too ?
and while approaching non complex integration why don't we integrate for any two points on the plane with an arbitrary path ? ( sorry if i am wrong about everything i said , i am still a noob at complex integration )
 
  • #5
THE HARLEQUIN said:
i thought complex plane is a 2 dimensional plane just like our cartesian plane ... so why can't i just take the area under the curve in complex plane here too ?
and while approaching non complex integration why don't we integrate for any two points on the plane with an arbitrary path ? ( sorry if i am wrong about everything i said , i am still a noob at complex integration )

Yes and no. Yes it is a 2-dimensional cartesian plane when viewed a certain way. No because it is a generalization of the real line when viewed another way.

Example: In the 2-dimensional cartesian plane you can define addition and subtraction of points easily, but there is no straightforward way of defining a way to multiply two points and get a new point. In the complex plane, multiplication is defined from the beginning.

As I said, the complex plane is a generalization of the real line. Complex functions, though, have stricter requirements than real functions. For a real function to be differentiable, the right- and left-hand derivative must both exist and be equal. For a complex function, the derivatives must be equal no matter how we approach the point in question. Such functions are called analytic, and they have several interesting properties, one of them being that the integral from one point to another is not dependent on the path used. This again means that the integral of an analytic function along a closed curve is zero.

Integration is one of the most important tools in complex analysis and the basis for several important theorems.
 
  • #6
THE HARLEQUIN said:
I have started studying complex integration recently and i just can't seem to get the things in my head .
the biggest problem i am facing is that :
when solving real number integrals the area under the curve of the function is what integration means ...
but i can't seem to find an analogy between this and complex integration ...

If a function in the plane were real valued then one could draw its graph in three dimensions. It would look like a surface and it definitely makes sense to talk about the volume underneath it (not area). But the only real valued continuous complex differentiable functions are constants. So for them computing these volumes is uninteresting.

You should try to convince yourself that complex differentiable functions that are real valued are constants. It is not hard.
 
  • #7
THE HARLEQUIN said:
i thought complex plane is a 2 dimensional plane just like our cartesian plane ... so why can't i just take the area under the curve in complex plane here too ?
and while approaching non complex integration why don't we integrate for any two points on the plane with an arbitrary path ? ( sorry if i am wrong about everything i said , i am still a noob at complex integration )

There is nothing to stop you from taking the area under a curve if the function is real valued. If it is complex valued the idea makes no sense.
 
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  • #8
lavinia said:
There is nothing to stop you from taking the area under a curve if the function is real valued. If it is complex valued the idea makes no sense.
but why doesn't it make sense when the function is complex valued ?
 
  • #9
THE HARLEQUIN said:
but why doesn't it make sense when the function is complex valued ?

A complex number is not a height.

A complex line integral can be thought of as two regular integrals added together (after multiplying one of them by i) to get a complex number
 
  • #10
i agree one should think in terms of path integrals, not area. consider the path integral of -ydx/(x^2+y^2) + xdy/(x^2+y^2) around a loop missing the origin. If I remembered the formula correctly, this is just dtheta, so the integral gives you the change in angle of a ray emanating from the origin, as you go around this curve, i.e. 2pi times the winding number. this can be computed in stages as actual angel changes for continuously chosen branches of the angle function theta.

in general, every complex analytic function f is locally of form f = dg for some analytic function g, so integrating f along a path is computed from the changes in value of these locally given g's in stages along this path.

the catchy-residue formula tells you that the integral of a local quotient of analytic functions is always equivalent to just computing winding numbers and residues at points where the denominator equals zero.
 

1. What is the main difference between real number calculus and complex calculus?

The main difference between real number calculus and complex calculus is that real number calculus deals with functions and variables that have real values, while complex calculus deals with functions and variables that have complex values. This means that complex calculus involves a greater level of mathematical complexity and abstraction compared to real number calculus.

2. Why is complex calculus important in science and mathematics?

Complex calculus is important in science and mathematics because it allows for the modeling and analysis of complex systems and phenomena. Many physical and natural phenomena, such as electromagnetic fields and fluid dynamics, can be described using complex numbers and require the use of complex calculus for accurate analysis and prediction.

3. Is it necessary for a scientist to have a deep understanding of complex calculus?

It depends on the specific field of science and research. While some scientists may not need to use complex calculus extensively, others may require a deep understanding of it for their work. For example, physicists and engineers often use complex calculus in their research and experiments.

4. Can real number calculus and complex calculus be used interchangeably?

No, real number calculus and complex calculus are not interchangeable. While both involve the study of calculus principles, they deal with different types of numbers and have different applications. Attempting to use one in place of the other can result in incorrect or nonsensical solutions.

5. What are some common applications of complex calculus?

Some common applications of complex calculus include analyzing and predicting the behavior of electrical circuits, solving differential equations in physics and engineering, and studying the properties of fluids and gases in chemistry and biology. It is also used in fields such as signal processing, optics, and quantum mechanics.

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