Complex and Hypercomplex Numbers

In summary, the complex numbers are algebraically closed, meaning that any polynomial with complex numbers as coefficients and variables will have complex numbers as roots. This makes hyper-complex numbers unnecessary for analyzing arbitrary functions. However, it is possible to define an arbitrary function that does not map the complex number field back onto itself completely. This can be done using the Cayley-Dickson Construction, which allows for the creation of new hypercomplex algebras. It is also possible to express operations such as conjugation in hypercomplex algebras using only the four rules of arithmetic. This can be seen in the example of expressing the rotation operator in quaternions using the curl operator in vector algebra. Therefore, while the complex numbers are closed under certain
  • #1
MadRocketSci2
48
1
Complex numbers are said to be algebraically closed, meaning (to my mind) that given any polynomial x = p(z), with complex numbers x and z, the polynomial maps the complex number field back onto itself completely. For any given x, there will be a z.

It is then stated that this makes any hyper-complex number superfluous for the analysis of arbitrary functions.

Now it may be true that the hypercomplex number field is closed for any algebraic operation, and raising complex numbers to fixed powers. And most special functions also appear closed on investigation (I'm an engineer, not a mathematician, so hold your fire).

What prevents me from defining an arbitrary function though, or finding one, that does not map the complex number field back onto itself completely? Some x = f(z), where for some x, there is not a z? finv(x) = z, z is not complex? If I then defined a hypercomplex number i2, and associated operational behavior whereby the field is once again complete, finv(x) = z, z is an element of hypercomplex field, then why is what I have just done fundamentally different than what was done to come up with complex numbers in the first place?

After all, the original motivation for complex numbers was to define what happened when you inverted certain polynomials p(z) = x.
 
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  • #2
MadRocketSci2 said:
What prevents me from defining an arbitrary function though, or finding one, that does not map the complex number field back onto itself completely?

Nothing. Here's a perfectly valid function:
f(z) = sin(z), x > 3
f(z) = apple, x <= 3
which maps the complex numbers C to the apple-complex numbers C ∪ {apple}.
 
  • #3
Are complex numbers really closed? I would extend this concept to include complex conjugation. Then one needs another square root of -1 (i.e. quaternions)
[tex]
(a+b\mathrm{i})^*=\mathrm{j}(a+b\mathrm{i})\mathrm{j}^{-1}
[/tex]

Is that a good idea?
 
  • #4
The complex numbers are algebraically closed, they are not closed in other ways. A stupid example is there are no complex numbers such that |z|=i. We can add in any new numbers we want, the issue is what properties such an extended system has. For example the quaternions are noncommutative. The complex numbers are not ordered.
Gerenuk you can construct the quaternions that way. The conjugation of a system is effected naturally by an element of the next higher system. Look up The Cayley-Dickson Construction. http://math.ucr.edu/home/baez/octonions/node5.html
 
  • #5
OK, I see.

To just include the conjugation operation algebraically however one can stick with quaternions, right? Wikipedia says one can express quaterion complex conjugation as multiplications only and in fact one can extract each component of the quaternion this way. Basically if one wants to include the complex conjugation, then quaternions are the choice?!
 
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  • #6
The complex numbers are closed under conjugation as well as under addition, multiplication, powers, etc.
 
  • #7
Please read the post carefully! The aim is to express congujation with normal algebraic operations. You can't do that with complex numbers, but you can with quaternions.
 
  • #8
Gerenuk said:
Please read the post carefully!

I could say the same to you: I contradicted none of your post.
 
  • #9
Sure. You can say the grass is green and not contradict my statements.
lurflurf had got the point and given me as very useful link.
 
  • #10
Gerenuk said:
Please read the post carefully! The aim is to express congujation with normal algebraic operations. You can't do that with complex numbers, but you can with quaternions.

This is actually a good observation. Do we really need more than the four rules of arithmetic to express other constructions in hypercomplex algebras, or can we find ways to represent every operation in terms of the four rules?

See web article on quaternions:

http://web.archive.org/web/20070928...mplex.com/education/intro_tutorial/nabla.html


In section on Josiah Willard Gibbs' contribution we find div and curl can be expressed

div A = 1/2 . ( d->A + A<-d )
curl A = 1/2 . (d->A - A<-d)

which is really the limit of the infinitesimal change in the rotation operation.

A' = qAq^-1

is a rotation in quaternions, where the vector A' is the rotated result of A being acted upon by the quaternion q that describes the parameters of the rotation. But, if a and b are two vectors that represent the initial and final states of a rotation, then the quaternion q that does the job is given by

q = (b/a)^(1/2)

that "square root" of the ratio of vectors tells us that q = (1 + h.d)^(1/2) with "h" a small infinitesimal parameter and "d" the differential operator is the quaternion operator that when multiplied and divided from opposite sides gives the infinitesimal rotation

A' = (1 + h.d)^(1/2) . A . (1 + h.d)^(-1/2)

= (1 + 1/2 . h . d + ...) . A . (1 - 1/2 . h . d + ... )

= A + 1/2 . h . (d.A - A.d) + ...

so,

lim{h - > 0} (A' - A)/h = 1/2 (d.A - A.d)

quaternions non-commute so d.A != A.d, and in both cases the operator d acts on the variable A, which we make emphatic by replacing the dot . with an arrow -> to remember that this is critical in non-abelian algebras so

lim{h -> 0} (A' - A)/h = 1/2 ( d->A - A<-d )

this happens to be exactly the "curl" of vector algebra. So, we clearly see the link between the rotation "qAq^-1" of quaternion algebra, and the "curl" operator of vectors. The latter is derived using only the four rules together with the noncommuting property of the hypercomplex algebra.

Like the case with complex conjugation *, Hamilton introduced six operators "S,V,K,N,T,U" for "Scalar, Vector, Conjugate, Norm, Tensor, Versor" and treated them as "add on operators" in his calculus, which made the quaternion algebra seem a lot more complicated. But, these six operations can be represented in terms of the four rules again. See the URL for that article on Nabla.
 

What are complex numbers?

Complex numbers are numbers that contain both a real and imaginary component. They are typically written in the form a + bi, where a is the real part and bi is the imaginary part with i being the square root of -1.

How are complex numbers represented on a graph?

Complex numbers are represented on a graph using a Cartesian coordinate system. The real component is plotted on the x-axis, while the imaginary component is plotted on the y-axis. The point where these two components intersect represents the complex number.

What is a hypercomplex number?

A hypercomplex number is a number that contains more than two components, such as a real part, an imaginary part, and additional parts for higher dimensions. Examples of hypercomplex numbers include quaternions and octonions.

What are the properties of complex numbers?

Complex numbers have many interesting properties. They follow the same rules as real numbers for addition, subtraction, and multiplication. However, complex numbers do not follow the commutative property for multiplication, and they have unique properties such as conjugation and the modulus function.

Where are complex and hypercomplex numbers used in real life?

Complex and hypercomplex numbers have many practical applications in fields such as physics, engineering, and computer science. They are used to model and solve problems involving waves, oscillations, and rotations. They are also used in image and signal processing, as well as in the development of computer graphics and video games.

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