Can Any Complex Matrix Be Decomposed into Hermitian and Skew-Hermitian Parts?

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SUMMARY

The discussion centers on the decomposition of a complex matrix \( C \) into Hermitian and skew-Hermitian parts, expressed as \( C = \frac{1}{2}(C + C^{\dagger}) + \frac{1}{2i}(C - C^{\dagger}) \). Participants confirm that any square matrix can be represented as the sum of these two types of matrices, which possess distinct properties beneficial for various mathematical applications. The conversation highlights the simplicity of this decomposition and its relevance to both complex matrices and complex numbers.

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  • Understanding of Hermitian and skew-Hermitian matrices
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ognik
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If C NOT Hermitian, show we can decompose C into $\frac{1}{2}\left( C + {C}^{\dagger} \right) +\frac{1}{2i}i\left( C- {C}^{\dagger} \right) $

I've managed to prove C = C a couple of times, EG taking Hermitian or conjugate of both sides, probably there is a bit of info I am not thinking of or missing altogether, a hint please?
 
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ognik said:
If C NOT Hermitian, show we can decompose C into $\frac{1}{2}\left( C + {C}^{\dagger} \right) +\frac{1}{2i}i\left( C- {C}^{\dagger} \right) $

I've managed to prove C = C a couple of times, EG taking Hermitian or conjugate of both sides, probably there is a bit of info I am not thinking of or missing altogether, a hint please?

I'm guessing there's a bit more to this problem. That the RHS equals the LHS you've probably already shown, as indicated by your statement that you've proved "C = C a couple of times". I'm guessing the problem wants you to investigate the first matrix, $(C+C^{\dagger})/2$, and the second matrix, $(C-C^{\dagger})/2$, a bit more closely. What are their properties?
 
I had, but on second looks, it seems ridiculously easy...

Let $H(C)=\frac{1}{2}(C+C^{\dagger}) $, then $H^{\dagger}=\frac{1}{2}(C^{\dagger}+C) = H$

Similarly $S(C)^{\dagger}= -S$

I remember similar expressions for symmetric Matrices (same proof?) isn't there a similar formula for complex numbers?

...and why do they show the formula for C with $\frac{1}{2i}i$?
 
Exactly - you've got it. So, the moral of the story is that you can write any (square) matrix as the sum of an Hermitian matrix, and a skew-Hermitian matrix. These two kinds of matrices have special properties that are nice to work with in certain circumstances.

I have no idea why they didn't just write
$$C=\frac12\left(C+C^{\dagger}\right)+\frac12\left(C-C^{\dagger}\right).$$
Probably to confuse the newbie. ;)
 
This book excels at that :confused: suppose it gives the neurons more exercise. (Can't imagine why the Uni didn't use the latest edition...)

The other formula I was thinking of is $ z = \frac{1}{2}(z+z^*) + \frac{1}{2i}(z-z^*) $, real + imag component, even easier to prove
 
This is my theory (as to the form of the decomposition):

$(C - C^{\dagger})^{\dagger} = -(C - C^{\dagger})$ is skew-Hermitian, whereas:

$(i(C - C^{\dagger}))^{\dagger} = (-i)(-(C - C^{\dagger})) = i(C - C^{\dagger})$ is Hermitian.
 

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