As part of my self study for Financial Economics, I came across simplifying the following expression,
$$\sigma Z_{0.25} + (2\sigma)(Z_{0.5} - Z_{0.25})$$
where $Z$ are independent Brownian motion ($Z_0 = 0$ and $Z_t-Z_s \mathtt{\sim} N(0, t-s)$.
It is simplified as,
$$\sigma N(0, .25) + 2\sigma N(0, .25) = N(0, .25\sigma^2) + N(0, .25 \times 4\sigma^2)$$ $$= N(0, 1.25\sigma^2) = \sqrt{2.5}\sigma Z_{0.5}$$
However, if I simplify the first expression to $\sigma (2Z_{0.5} - Z_{0.25})$, I get a different Normal distribution, $N(0, 1.75\sigma^2)$ which is $\sqrt{3.5}\sigma Z_{0.5}$.
Edit: Here's how I did the above simplification,
$$\sigma Z_{0.25} + (2\sigma)(Z_{0.5} - Z_{0.25})$$ $$= \sigma Z_{0.25} + 2\sigma Z_{0.5} - 2\sigma Z_{0.25}$$ $$= 2\sigma Z_{0.5} - \sigma Z_{0.25}$$ $$= \sigma (2 Z_{0.5} - Z_{0.25})$$
using basic algebra.
So, obviously, the Brownian motion variables and Normal distributions don't support all of algebra. So, what subset of the algebraic rules are allowed when dealing with these? Is there somewhere these are set out that I can refer to? Thank you.