Issue 2 - Tapp - Characterizations of the Orthogonal Groups

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SUMMARY

This discussion centers on the proof of Proposition 3.10 from Kristopher Tapp's book, "Matrix Groups for Undergraduates," specifically regarding the relationship between the unitary group U(n) and the orthogonal group O(2n) through the mapping $$\rho_n$$. Participants clarify that if $$A \in U(n)$$, then $$\rho_n(A) \in O(2n)$$, and vice versa, as demonstrated by the equation $$\rho_n(A) \cdot \rho_n(A)^* = \rho_n(A \cdot A^*)$$. However, the distinction between $$\rho_n(U(n)) = O(2n)$$ and $$\rho_n(U(n)) = O(2n) \cap \rho_n(GL_n(\mathbb{C}))$$ is also discussed, emphasizing that not all orthogonal matrices arise from complex matrices via $$\rho_n$$.

PREREQUISITES
  • Understanding of linear algebra concepts, particularly matrix groups.
  • Familiarity with the definitions of unitary groups U(n) and orthogonal groups O(2n).
  • Knowledge of the mapping $$\rho_n$$ as introduced in Tapp's book.
  • Proficiency in complex matrix operations and properties.
NEXT STEPS
  • Study the properties of the unitary group U(n) in detail.
  • Explore the characteristics of the orthogonal group O(2n) and its applications.
  • Investigate the mapping $$\rho_n$$ and its implications in matrix theory.
  • Review Proposition 3.9 in Tapp's book for a deeper understanding of the relationships between these groups.
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I am reading Kristopher Tapp's book: Matrix Groups for Undergraduates.

I am currently focussed on and studying Section 2 in Chapter 3, namely:

"2. Several Characterizations of the Orthogonal Groups".

I need help in fully understanding the proof of Proposition 3.10.

Section 2 in Ch. 3, including Proposition 3.10 and its proof reads as follows:https://www.physicsforums.com/attachments/4002
https://www.physicsforums.com/attachments/4003
https://www.physicsforums.com/attachments/4004

In the proof of Proposition 3.10 (see bottom of above text) we read:

" ... ... If $$ A \in GL_n ( \mathbb{C} ) $$, then

$$ \rho_n (A) \cdot \rho_n (A)^* = \rho_n (A) \cdot \rho_n (A^*) = \rho_n (A \cdot A^* ) $$

which shows that $$A \in U(n)$$ if and only if $$\rho_n (A) \in O(2n) $$. ... ... "

I do not see how or why this follows ... ...My question, then, is as follows:

Can someone show formally and rigorously that

$$ \rho_n (A) \cdot \rho_n (A)^* = \rho_n (A) \cdot \rho_n (A^*) = \rho_n (A \cdot A^* ) $$

implies that

$$A \in U(n)$$ if and only if $$\rho_n (A) \in O(2n) $$?

I wold be grateful for some help in this matter ...

Peter
***NOTE***

Tapp introduces $$\rho_n$$ in Section 1 of Ch. 2 (pages 24-25) ... so I am providing these pages as follows:https://www.physicsforums.com/attachments/4005
https://www.physicsforums.com/attachments/4006
 
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Hi Peter,

Given the equation

$$\rho_{n}(A)\rho_{n}(A)^{*}=\rho_{n}(A\cdot A^{*}),$$

we can get the iff as follows:

Suppose $$A\in U(n).$$ By Proposition 3.9.4, this means that $$A\cdot A^{*}=I.$$ From the above equation this gives

$$\rho_{n}(A)\rho_{n}(A)^{*}=\rho_{n}(I)=I$$

Since $$\rho_{n}(A)$$ is a real matrix we have $$\rho_{n}(A)^{*}=\rho_{n}(A)^{T},$$ where $$T$$ denotes transpose. Thus the above becomes

$$\rho_{n}(A)\rho_{n}(A)^{T}=I,$$

which means that $$\rho_{n}(A)$$ is an orthogonal matrix; i.e. $$\rho_{n}(A)\in O(2n).$$

To prove the converse, suppose $$\rho_{n}(A)\in O(2n)$$ and, essentially, reverse the argument outlined above.

Does this help? Let me know if you'd like more details on the converse proof/if anything else is unclear.
 
GJA said:
Hi Peter,

Given the equation

$$\rho_{n}(A)\rho_{n}(A)^{*}=\rho_{n}(A\cdot A^{*}),$$

we can get the iff as follows:

Suppose $$A\in U(n).$$ By Proposition 3.9.4, this means that $$A\cdot A^{*}=I.$$ From the above equation this gives

$$\rho_{n}(A)\rho_{n}(A)^{*}=\rho_{n}(I)=I$$

Since $$\rho_{n}(A)$$ is a real matrix we have $$\rho_{n}(A)^{*}=\rho_{n}(A)^{T},$$ where $$T$$ denotes transpose. Thus the above becomes

$$\rho_{n}(A)\rho_{n}(A)^{T}=I,$$

which means that $$\rho_{n}(A)$$ is an orthogonal matrix; i.e. $$\rho_{n}(A)\in O(2n).$$

To prove the converse, suppose $$\rho_{n}(A)\in O(2n)$$ and, essentially, reverse the argument outlined above.

Does this help? Let me know if you'd like more details on the converse proof/if anything else is unclear.

Thank you GJA ... that seems very clear ... just working through the logic to ensure that I fully understand it ...

Peter***EDIT***

Having shown that:$$\rho_n(A) \rho_n(A)^* = I
$$could we immediately conclude from this (using Proposition 3.9) that:

$$\rho_n (A) \in O(2n)$$ We can do this since ... ... If in Proposition 3.9 we take $$\mathbb{K} = \mathbb{R}$$ and $$A := \rho_n (A)$$ - that is replace $$A$$ with $$\rho_n (A)$$ in the proposition we get:

$$A \in O_{2n} ( \mathbb{R} ) = O(2n) \ \ \ \Longleftrightarrow \ \ \ \rho_n(A) \rho_n(A)^* = I$$Is the above analysis correct? Can someone confirm that the above is correct?

Peter
 
Last edited:
Hi Again Peter,

Applying Proposition 3.9 a second time in the manner you describe would be correct as well.
 
GJA said:
Hi Again Peter,

Applying Proposition 3.9 a second time in the manner you describe would be correct as well.

Thanks to GJA for the help in seeing that $$ \rho_n (A) \cdot \rho_n (A)^* = \rho_n (A) \cdot \rho_n (A^*) = \rho_n (A \cdot A^* ) $$

implies that

$$A \in U(n)$$ if and only if $$\rho_n (A) \in O(2n) $$ ... ... ... BUT ... I now have another problem/issue with Proposition 3.10 (1).
I would have thought that the previous analysis by GJC showed that

$$\rho_n ( U(n) ) = O (2n)
$$

... ... BUT ...

... Proposition 3.10 (1) reads as follows:$$\rho_n ( U(n) ) = O (2n) \cap \rho_n ( GL_n ( \mathbb{C} )
$$My question is as follows:Why do we have the term $$\rho_n ( GL_n ( \mathbb{C} )$$ intersecting with $$O (2n)$$?Can someone please explain what is going on here?

Peter

...
 
Hi Peter,

From here

Peter said:
$$A \in U(n)$$ if and only if $$\rho_n (A) \in O(2n) $$ ...

You can't conclude this
Peter said:
$$\rho_n ( U(n) ) = O (2n)
$$

They are simply different statements.

As an example, take a matrix $A=\left(\begin{array}{cccc}
1 & 2 & 3 & 4 \\ 5 & 6 & 7 & 8 \\ 9 & 10 & 11 & 12 \\ 13 & 14 & 15 & 16
\end{array}\right)$

And now, computing it's QR factorization we got that

$Q=\left(\begin{array}{cccc}
-0.0602 & -0.8345 & 0.2702 & -0.4765 \\ -0.3010 & -0.4576 & -0.0051 & 0.8366\\-0.5417 & -0.0808 & -0.8003 & -0.2439\\ -0.7825 & 0.2961 &0.5352 & -0.1163
\end{array}\right)$
$Q$ is computed numerically so it got some little error but we can just forgot about that in this precise example.

Then, $Q$ is orthogonal ($QQ^T=I$), so $Q\in \mathcal{O}(2n)$ but it's not the image of any complex matrix via $\rho_{n}$ (it is obvious since $Q_{1,1}\neq Q_{2,2}$).
 

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