Basis of a real hermitian matrix vector space with complex entries

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Homework Help Overview

The discussion revolves around determining the dimension of the vector space of real Hermitian matrices with complex entries, specifically focusing on the calculation of \(\dim_{\mathbb{R}} V\) for the space \(\mbox{Herm}_n( \mathbb{C} )\).

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants explore different methods to calculate the dimension, with one suggesting a formula of \(2n^2 - n\) and questioning the correctness of the stated dimension \(n^2\). Others discuss the implications of complex conjugate relationships in matrix entries and how they affect the counting of dimensions.

Discussion Status

There is an active exploration of the dimension calculation, with participants providing various perspectives and attempting to reconcile differing views on the restrictions imposed by Hermitian properties. Some guidance has been offered regarding the counting of entries and the implications of Hermiticity, but no consensus has been reached.

Contextual Notes

Participants note potential misunderstandings regarding the definition and properties of Hermitian matrices, as well as the implications of treating the space as a real vector space versus a complex one.

_Andreas
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Homework Statement



Let [tex]V[/tex] be the [tex]\mathbb{R}[/tex]-vector space [tex]\mbox{Herm}_n( \mathbb{C} )[/tex]. Find [tex]\dim_{\mathbb{R}} V[/tex].

The Attempt at a Solution



I'd say the dimension is [tex]2n(n-1)+n=2n^2-n[/tex], because all entries not on the main diagonal are complex, so you have [tex]n(n-1)[/tex] entries which you have to split up in two (the scalars are real), and n real entries on the main diagonal (which you don't have to split up in two). However, the paper I have says that [tex]\dim_{\mathbb{R}} V[/tex] is equal to [tex]n^2[/tex]. I can't see how that could be correct. Have I misunderstood something?
 
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The entries on opposite sides of the diagonal also have to be complex conjugates of each other. So you can really only choose one side freely. I'd count that as 2*(n^2-n)/2+n.
 
You can simply think of taking the nxn Hermitian matrices, and stacking its rows on top of one another. This "map" will allow you to identify [itex]\mathrm{Herm}_n(\mathbb{C})[/itex] with [itex]\mathbb{C}^{n^2}[/itex] since the matrix will have n² elements. All of the basic rules for the vector space hold since we're only considering scalar multiplication and addition, which is done component-wise (note that this map only becomes tricky if you're considering [itex]\mathrm{Herm}_n(\mathbb{C})[/itex] as an algebra, in which case you need to define your second binary operator in a special way). Thus you've reduced the question to, "what is the dimension of [itex]\mathbb{C}^{n^2}[/itex] when viewed as a real vector space?" Well this is just trivially n². Though it seems that they've ignored restrictions on the definition of a Hermitian matrix.
 
Yeah, including the restrictions for Hermiticity, I would only count

[tex]\frac{1}{2} n^2 + \frac{1}{2} n[/tex]

Edit: I'm not too certain how you got [itex]2n^2 - n[/itex] since in the unrestricted case (and hence upper bound) case we have n², but

for n>1, 2n²-n > n²
 
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Much appreciated help. Thanks to both of you!
 

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