Matrix Notation: ℝm x n Meaning & Vectors

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Discussion Overview

The discussion revolves around the interpretation of the notation ℝm x n in the context of matrices and vectors. Participants explore whether this notation applies to vectors and how it relates to complex matrices, particularly in relation to dimensionality and structure.

Discussion Character

  • Exploratory
  • Debate/contested
  • Technical explanation

Main Points Raised

  • Some participants propose that ℝm x n denotes the space of m by n matrices with real coefficients, while others suggest it could be a distinction from ℝmn, which refers to vectors with mn coefficients.
  • There is a suggestion that ℝm x n can be viewed as a vector space isomorphic to ℝmn, but with different additional structures.
  • Some participants express uncertainty about the notation used for complex matrices, questioning whether ℂ2 refers to ℂ2 x 2 or if it is used interchangeably.
  • One participant argues that complex 2 x 2 matrices should be denoted as elements of ℂ2 x 2, while another counters that it is incorrect to equate ℂ2 with real 2 x 2 matrices.
  • There is a discussion about the mapping between complex vectors and real matrices, with some asserting that while a mapping exists, it is not an isomorphism.
  • Participants discuss the Pauli spin matrices, questioning whether they are examples of ℂ2 or ℂ2 x 2 matrices, with one stating they are complex 2 x 2 matrices that act on the vector space ℂ2.

Areas of Agreement / Disagreement

Participants express differing views on the interpretation of the notation and its application to vectors and matrices. There is no consensus on whether ℂ2 should be considered as ℂ2 x 2 or if the two notations are interchangeable.

Contextual Notes

Some participants note that the discussion involves assumptions about dimensionality and the nature of mappings between vector spaces, which remain unresolved.

dyn
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Hi. When referring to matrices what does ℝm x n mean ? Does this notation also apply to vectors ?
Thanks
 
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dyn said:
Hi. When referring to matrices what does ℝm x n mean ? Does this notation also apply to vectors ?
Thanks
It usually means ##m \times n## real matrices, i.e. matrices with ##m## rows and ##n## columns and real numbers as entries.
You may regard every single matrix as a vector as well, if you like. So, yes.
However, if one only wants to speak about vectors in an ##m \cdot n##-dimensional real space, one would probably write ##\mathbb{R}^{mn}##.
 
dyn said:
Hi. When referring to matrices what does ℝm x n mean ? Does this notation also apply to vectors ?
Thanks
I would assume it means the space of m by n matrices with real coefficients. Not sure that I have seen it before, though. The x could be to distinguish it from ℝmn, which would mean vectors with mn coefficients. Same dimensionality and, regarded purely as vector spaces, isomorphic, but capable of different additional structure.
 
haruspex said:
I would assume it means the space of m by n matrices with real coefficients. Not sure that I have seen it before, though. The x could be to distinguish it from ℝmn, which would mean vectors with mn coefficients. Same dimensionality and, regarded purely as vector spaces, isomorphic, but capable of different additional structure.

Yes, it's the set of all matrices with real coefficients. It's the same as ##M_{n,m}(\mathbb{R})##
 
Thanks. I have seen 2x2 complex matrices described by ℂ2. Does this mean ℂ2 x 2 ? Are people using this notation interchangeably or sloppily ?
 
dyn said:
Thanks. I have seen 2x2 complex matrices described by ℂ2. Does this mean ℂ2 x 2 ? Are people using this notation interchangeably or sloppily ?
No. It means it is ... uh, wrong.

One might write ##\mathbb{C}^2## as real ##2 \times 2##-matrices, i.e. elements of ##\mathbb{R}^{2 \times 2}##.

Complex
##2 \times 2##-matrices are elements of ##\mathbb{C}^{2 \times 2}##.
They apply to / operate on / map vectors of ##\mathbb{C}^2##.
 
fresh_42 said:
No. It means it is ... uh, wrong.

One might write ##\mathbb{C}^2## as real ##2 \times 2##-matrices, i.e. elements of ##\mathbb{R}^{2 \times 2}##.
Surely that would be wrong too. It should mean complex vectors of two dimensions.
 
haruspex said:
Surely that would be wrong too. It should mean complex vectors of two dimensions.
I can write every ##\begin{bmatrix}x_1+iy_1 \\ x_2+iy_2\end{bmatrix}\in \mathbb{C}^2## as ##\begin{bmatrix}x_1 & x_2 \\ y_1 & y_2 \end{bmatrix} \in \mathbb{R^{2 \times 2}}##, can't I?
How would you start to explain that ##SU(2)## is a cover of ##SO(3)##?
 
fresh_42 said:
I can write every ##\begin{bmatrix}x_1+iy_1 \\ x_2+iy_2\end{bmatrix}\in \mathbb{C}^2## as ##\begin{bmatrix}x_1 & x_2 \\ y_1 & y_2 \end{bmatrix} \in \mathbb{R^{2 \times 2}}##, can't I?
You can set up a mapping between the two, but it is not an isomorphism. There is a multiplication defined for ##\mathbb{C}^2 \times \mathbb{C}^2\rightarrow\mathbb{C}##, and one defined for ##\mathbb{R}^{2 \times 2}\times\mathbb{R}^{2 \times 2}\rightarrow\mathbb{R}^{2 \times 2}##, but no mapping for either.
 
  • #10
haruspex said:
You can set up a mapping between the two, but it is not an isomorphism. There is a multiplication defined for ##\mathbb{C}^2 \times \mathbb{C}^2\rightarrow\mathbb{C}##, and one defined for of ##\mathbb{R}^{2 \times 2}\times\mathbb{R}^{2 \times 2}\rightarrow\mathbb{R}^{2 \times 2}##, but no mapping for either.
None of which I claimed. I only said it can be written as such (implying it can serve for some applications).
I have not claimed that it is an algebra isomorpism. However, it is an isomorphism of real vector spaces! To disqualify this as wrong, is misleading, to say the least.
 
  • #11
fresh_42 said:
I only said it can be written as such (implying it can serve for some applications
I guess that's where we differ. Writing it "as such" implies isomorphism to me. Qualified with suitable wording to explain the sense in which they are being equated (i.e. describing the mapping) is fine, but that is different.
 
  • #12
Thanks. So as a specific example if I have the Pauli spin matrices from Quantum mechanics. Are they examples of ℂ2 or ℂ2 x 2 matrices ?
 
  • #13
dyn said:
Thanks. So as a specific example if I have the Pauli spin matrices from Quantum mechanics. Are they examples of ℂ2 or ℂ2 x 2 matrices ?
They are complex ##2 \times 2 - ##matrices, i.e. elements of ##\mathbb{M}(2,\mathbb{C}) \cong \mathbb{C}^{2 \times 2}## which naturally act on the vector space ##\mathbb{C}^2##.
(There are four complex matrix entries, so they have to "live" in a vector space of four complex dimensions. ##\mathbb{C^2}## has only two.)
 

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