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

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Discussion Overview

The discussion revolves around the validity and utility of expressing complex numbers as vectors, exploring both theoretical and practical implications. Participants examine the mathematical representation of complex numbers in vector form and the potential advantages or misconceptions that may arise from this perspective.

Discussion Character

  • Exploratory
  • Debate/contested
  • Conceptual clarification

Main Points Raised

  • Some participants propose that expressing complex numbers as vectors is mathematically valid, noting the relationship between complex numbers and two-dimensional real vector spaces.
  • Others argue that while this representation is common, complex multiplication does not align with vector multiplication, which may lead to confusion.
  • A participant suggests that viewing complex numbers as a vector space can be misleading and may obscure their field properties, particularly in analysis.
  • Another viewpoint emphasizes the geometric interpretation of complex multiplication and analysis, asserting that it is beautifully represented in two dimensions.
  • Some participants express that the visualization of complex functions and concepts, such as branching and conformal mapping, is dependent on the context and may require additional dimensions for clarity.
  • There is a mention of personal opinions regarding the usefulness of the vector space perspective, with some feeling that it detracts from the understanding of complex numbers as a field.
  • A participant humorously notes the difficulty of visualizing complex concepts, particularly in relation to Riemann surfaces.

Areas of Agreement / Disagreement

Participants express a mix of agreement and disagreement regarding the utility and implications of representing complex numbers as vectors. Multiple competing views remain on whether this perspective is beneficial or misleading.

Contextual Notes

Some discussions highlight the limitations of visualizing complex numbers solely as vectors, particularly in relation to their properties as a field and the challenges in representing certain complex functions.

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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