What is the variance of a Gaussian RV

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SUMMARY

The variance of a Gaussian random variable (RV) is a critical concept in probability theory. In this discussion, it is established that for a complex Gaussian RV z with zero mean and variance sigma^2, the variance of -z is equal to the variance of z, which is sigma^2. This follows from the general rule that var(αz) = α²var(z), where α = -1 in this case. Thus, var(-z) = var(z) = sigma^2.

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nikozm
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Hi,

Let y = x + z, where x and z are mutually independent RVs. Also, z is a complex gaussian RV with zero mean and variance sigma^2.

My question is as follows:

For x = y - z, what is the variance of (-z) ?

Any help could be useful.

Thanks in advance.
 
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var(-z) = var(z). In general var(##\alpha z##) = ##\alpha^2##var(z). Let ##\alpha = -1##
 

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