Is it valid to express a complex number as a vector?

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SUMMARY

Expressing complex numbers as vectors is valid and common in mathematics, where a complex number \( z = a + bi \) can be represented as a vector \( \vec{v} = \binom{a}{b} \). The dot product of two vectors \( \vec{v} \) and \( \vec{w} \) is defined as \( \vec{v} \cdot \vec{w} = v_1 w_1 + v_2 w_2 \). While this representation is useful for visualization in the complex plane, it can lead to misconceptions regarding the properties of complex multiplication and analysis. The discussion highlights the dual nature of complex numbers as both a two-dimensional vector space and a field, emphasizing the importance of context in their application.

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Mayhem
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...and is it ever useful?

An arbitrary complex number has the form ##z = a + bi## where ##a, b \in \mathbb{R}## and the dot product of two arbitrary vectors ##\vec{v} = \binom{v_1}{v_2}## and equivalently for vector ##\vec{w}## is ##\vec{v} \cdot \vec{w} = v_1 w_1 + v_2 w_3## Then the ##z## may be expressed as ##z = a+bi = \vec{r} \cdot \vec{c} = \binom{a}{b} \cdot \binom{1}{i}## where ##\vec{r}## denotes the real part and ##\vec{c}## the imaginary part.

Then in the complex plane, their composite vector ##\vec{p}## may be expressed using their magnitudes, giving ##\vec{p} = \binom{||r||}{||c||} = \binom{\sqrt{a^2+b^2}}{\sqrt{2}i}##

Math seems valid unless I made a stupid mistake. Is this ever useful?
 
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Mayhem said:
...and is it ever useful?

An arbitrary complex number has the form ##z = a + bi## where ##a, b \in \mathbb{R}## and the dot product of two arbitrary vectors ##\vec{v} = \binom{v_1}{v_2}## and equivalently for vector ##\vec{w}## is ##\vec{v} \cdot \vec{w} = v_1 w_1 + v_2 w_3## Then the ##z## may be expressed as ##z = a+bi = \vec{r} \cdot \vec{c} = \binom{a}{b} \cdot \binom{1}{i}## where ##\vec{r}## denotes the real part and ##\vec{c}## the imaginary part.

Then in the complex plane, their composite vector ##\vec{p}## may be expressed using their magnitudes, giving ##\vec{p} = \binom{||r||}{||c||} = \binom{\sqrt{a^2+b^2}}{\sqrt{2}i}##

Math seems valid unless I made a stupid mistake. Is this ever useful?
It depends on what you want to do.

The complex numbers are a two-dimensional real vector space ##V##: ##a+ib \mapsto (a,b).##

If we want to keep the multiplication, we have now first to define a two-dimensional, real algebra by
$$
(a\, , \,b) \circ (c\, , \,d) := (ac-bd\, , \,ad+bc)
$$
which is a multiplication that seems weird from the point of view of a vector space. Furthermore, all multiplication rules have to be proven again. Being a real vector space, we have an additional inner product defined by ##(a,b)\cdot (c,d)=ab+cd \in \mathbb{R}## which is not directly related to complex numbers and can be a source of confusion.

So, yes, you can consider the complex numbers as a real vector space ##V##, but even the natural process of complexification
$$
V_\mathbb{C}=V\otimes_\mathbb{R} \mathbb{C}
$$
will end up in a total mess if you aren't very cautious; let alone complex calculus!

The complex numbers are usually only seen as a real vector space if we want to draw them. This is in my opinion already misleading and creates misconceptions. There is little advantage in such a concept except for being an example of a two-dimensional, real vector space. This advantage will be lost the moment you want to use them as a field and do analysis.
 
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fresh_42 said:
The complex numbers are usually only seen as a real vector space if we want to draw them. This is in my opinion already misleading and creates misconceptions. There is little advantage in such a concept except for being an example of a two-dimensional, real vector space. This advantage will be lost the moment you want to use them as a field and do analysis.
I tend to disagree with this. The geometry of complex multiplication, analysis, conformal mapping, etc., is beautifully seen in two dimensions.
 
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FactChecker said:
I tend to disagree with this. The geometry of complex multiplication, analysis, conformal mapping, etc., is beautifully seen in two dimensions.
This likely depends on what should be visualized. I think of branching, Cauchy, Stokes, and that even ##f(z)=z^2## cannot be drawn anymore.
 
fresh_42 said:
This likely depends on what should be visualized. I think of branching, Cauchy, Stokes, and that even ##f(z)=z^2## cannot be drawn anymore.
You're not a fan of the argand diagram?

Using the geometry of the complex plane is invaluable to the average student.
 
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PeroK said:
You're not a fan of the argand diagram?
No.
Using the geometry of the complex plane is invaluable to the average student.
I think the field character gets lost. Even ##\mathbb{R}[x]/(x^2+1)## looks more like a vector space than a field. But the field property is essential for analysis.

However, I admit that this is a personal opinion. I haven't tried to figure out whether my lack of intuition is due to the vector space image or only a matter of the fact that complex numbers cannot be totally ordered.
 
fresh_42 said:
This likely depends on what should be visualized. I think of branching, Cauchy, Stokes, and that even ##f(z)=z^2## cannot be drawn anymore.
I admit that I have to visualize a third dimension for the spirals of a Riemann surface, but ---
OUCH! I think I sprained a brain cell visualizing that. ;-)
 
FactChecker said:
I admit that I have to visualize a third dimension for the spirals of a Riemann surface, but ---
OUCH! I think I sprained a brain cell visualizing that. ;-)
My professor liked to use the following image for branching:

1656424559086.jpeg


It helped a bit.

Edit: But the vector space is lost.
 
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