Interpretation of the determinant of an operator in complex vector space

Click For Summary

Discussion Overview

The discussion revolves around the geometric interpretation of the determinant of an operator in complex vector spaces, comparing it to the interpretation in real vector spaces. Participants explore whether the concepts and visualizations applicable to real vector spaces extend to complex vector spaces.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Some participants propose that the geometric interpretation of the determinant in real vector spaces can be extended to complex vector spaces by considering complex spaces as real spaces of double dimension.
  • Others express uncertainty about the equivalence of \( \mathbb{C}^n \) and \( \mathbb{R}^{2n} \) as vector spaces, questioning the implications of different fields and norms.
  • A participant suggests visualizing complex numbers as a vector space over themselves, noting that a linear operator corresponds to scaling by a complex number.
  • There is a discussion about the implications of a determinant being complex, with one participant explaining that the absolute value of the determinant scales the length of vectors in the complex plane.
  • Clarifications are made regarding the dimensionality of \( \mathbb{C}^1 \) when considered over the reals versus over itself, affecting the interpretation of parallelepipeds.

Areas of Agreement / Disagreement

Participants generally agree on the geometric interpretation of determinants in real vector spaces and its extension to complex vector spaces, but there remains disagreement and uncertainty regarding the nature of this equivalence and the implications of complex determinants.

Contextual Notes

Participants highlight limitations in their understanding of the relationship between complex and real vector spaces, particularly in terms of isomorphism and dimensionality, which may affect their interpretations.

dEdt
Messages
286
Reaction score
2
There's a geometric interpretation of the determinant of an operator in a real vector space that I've always found intuitive. Suppose we have a n-dimensional real-valued vector space. We can plot n vectors in an n-dimensional Cartesian coordinate system, and in general we'll have an n-dimensional parallelepiped. If we apply an operator to these n vectors, the result is a new parallelepiped whose "n-dimensional volume" is equal to the volume of the original parallelepiped time the (absolute value of the) determinant of the operator.

Is there an extension of this interpretation for an operator in a complex vector space?
 
Physics news on Phys.org
dEdt said:
There's a geometric interpretation of the determinant of an operator in a real vector space that I've always found intuitive. Suppose we have a n-dimensional real-valued vector space. We can plot n vectors in an n-dimensional Cartesian coordinate system, and in general we'll have an n-dimensional parallelepiped. If we apply an operator to these n vectors, the result is a new parallelepiped whose "n-dimensional volume" is equal to the volume of the original parallelepiped time the (absolute value of the) determinant of the operator.

Is there an extension of this interpretation for an operator in a complex vector space?


Yes: exactly the same, as you can think of an n-dimensional complex space as an 2n-dimensional real space...:)

DonAntonio
 
DonAntonio's argument seems correct. However, personally, I have a bit of trouble getting a handle on the idea that C^n and R^2n are the same in the sense of vector spaces (The same in what sense? Different field, so they aren't isomorphic as vector spaces. Are the norms equivalent?). Although I'm sure it is correct, I still have a bit of trouble believing it since I haven't seen it in the two linear algebra courses I've taken.

If you feel as I do, then try this out... draw a picture without even considering it as a 2n-dimensional real space. Start by looking at the complex numbers as a vector space over themselves.

A linear operator in this space corresponds simply to scaling by a complex number. But multiplication of complex numbers is associative under taking absolute values (ie. [itex]| cx | = | c || x |[/itex] ). The determinant of such an operator will simply be the scaling constant, and since C over itself is 1-dimensional, it follows that the 1-dimensional paralellepiped (ie. the line) has its 1-dimensional volume (length) scaled by the absolute value of the determinant.

Higher dimensions get harder to visualize, but the principle is the same.
 
Last edited:
christoff said:
DonAntonio's argument seems correct. However, personally, I have a bit of trouble getting a handle on the idea that C^n and R^2n are the same in the sense of vector spaces (The same in what sense? Different field, so they aren't isomorphic as vector spaces. Are the norms equivalent?).

$${}$$

They are the same (i.e., isomorphic) as real vector spaces since they both have dimension [itex]\,2n\,[/itex] over the reals. In this sense.

DonAntonio
Although I'm sure it is correct, I still have a bit of trouble believing it since I haven't seen it in the two linear algebra courses I've taken.

If you feel as I do, then try this out... draw a picture without even considering it as a 2n-dimensional real space. Start by looking at the complex numbers as a vector space over themselves.

A linear operator in this space corresponds simply to scaling by a complex number. But multiplication of complex numbers is associative under taking absolute values (ie. [itex]| cx | = | c || x |[/itex] ). The determinant of such an operator will simply be the scaling constant, and since C over itself is 1-dimensional, it follows that the 1-dimensional paralellepiped (ie. the line) has its 1-dimensional volume (length) scaled by the absolute value of the determinant.

Higher dimensions get harder to visualize, but the principle is the same.
 
DonAntonio said:
Yes: exactly the same, as you can think of an n-dimensional complex space as an 2n-dimensional real space...:)

DonAntonio

To make sure I understand: if we're dealing with the vector space [itex]\mathbb{C}^1[/itex], then an operator with determinant 2 would map a region in the complex plane to a new region with twice the area?

And what happens if the determinant is complex?
 
DonAntonio said:
$${}$$
They are the same (i.e., isomorphic) as real vector spaces since they both have dimension [itex]\,2n\,[/itex] over the reals. In this sense.

DonAntonio

To clarify my misunderstanding, the op was asking specifically about complex vector spaces, which usually refers to vector spaces where the field is the complex numbers.

dEdt said:
To make sure I understand: if we're dealing with the vector space [itex]\mathbb{C}^1[/itex], then an operator with determinant 2 would map a region in the complex plane to a new region with twice the area?

And what happens if the determinant is complex?

OK... if you're talking about the vector space [itex]\mathbb{C}^1[/itex] as a vector space over the real numbers, then that is exactly what would happen. However, this vector space is 2-dimensional, so your parallelepipeds are paralellograms in the complex plane.

If however you're talking about [itex]\mathbb{C}^1[/itex] as a vector space over itself, then this vector space is 1 dimensional, so your paralellepipeds are simply vectors in the complex plane.

If the determinant is complex (as would be the case for the latter situation, since your field is the complex numbers), then the operator would scale the length of the vector by a factor of the absolute value of the determinant. Say you have an operator L defined on this space, and [itex]\det L=a+bi[/itex]. Then the absolute value is simply given by the formula you learned in first year linear algebra: [itex]\sqrt{a^2+b^2}[/itex].
 
Perfect, thank you.
 

Similar threads

  • · Replies 6 ·
Replies
6
Views
4K
  • · Replies 3 ·
Replies
3
Views
4K
  • · Replies 25 ·
Replies
25
Views
4K
  • · Replies 32 ·
2
Replies
32
Views
3K
  • · Replies 13 ·
Replies
13
Views
4K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 4 ·
Replies
4
Views
6K
  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K