dyn
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Hi. When referring to matrices what does ℝm x n mean ? Does this notation also apply to vectors ?
Thanks
Thanks
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.
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.
Some participants note that the discussion involves assumptions about dimensionality and the nature of mappings between vector spaces, which remain unresolved.
It usually means ##m \times n## real matrices, i.e. matrices with ##m## rows and ##n## columns and real numbers as entries.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.dyn said:Hi. When referring to matrices what does ℝm x n mean ? Does this notation also apply to vectors ?
Thanks
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.
No. It means it is ... uh, wrong.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 ?
Surely that would be wrong too. It should mean complex vectors of two dimensions.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}##.
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?haruspex said:Surely that would be wrong too. It should mean complex vectors of two dimensions.
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.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?
None of which I claimed. I only said it can be written as such (implying it can serve for some applications).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.
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.fresh_42 said:I only said it can be written as such (implying it can serve for some applications
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##.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 ?