Mean and variance of a Beta distribution with $\alpha \ge 1$ or $\beta \ge 1$? What conditions must satisfy the mean and variance of a Beta distribution so that the parameters $\alpha,\beta$ are not both less than 1?
 A: The parameters of a $\text{Beta}(\alpha,\beta)$ distribution with mean $0\lt m\lt 1$ and variance $0\lt v\lt m(1-m)$ are
$$\alpha = m\frac{m(1-m)- v}{v},\quad \beta = (1-m)\frac{m(1-m)-v}{v}.$$

This shaded contour plot of $\alpha$ has contours ranging from $0$ (at the top of the colored region) to $1$ (along the bottom).  The plot of $\beta$ is its mirror image.
If they are not both less than $1$, then algebra shows us that
$$v \le m\max\left(\frac{m(1-m)}{1+m}, \frac{(1-m)^2}{2-m}\right).$$

The valid set of all possible means and variances of Beta distributions is contained beneath the gray curve.  Within that set, those where one or both of $\alpha$ and $\beta$ are $1$ or greater is shown in darker blue.  These tend to have lower variances on the whole.
A: The mean of the Beta distribution is
$$\mu = \frac {\alpha}{\alpha + \beta}$$
We want to see whether restricting the permissible range of $\mu$, will guarantee that we will have either $\{\alpha \geq 1, \beta >0\}$, OR $\{\alpha >0, \beta \geq 1\}$.
Treating the mean as a function of the parameters we obtain
$$\frac {\partial \mu}{\partial \alpha} > 0, \;\; \frac {\partial \mu}{\partial \beta} <0$$
So it is monotonically increasing in $\alpha$ and monotonically decreasing in $\beta$. 
So
$$\min \mu = 1/(1+\beta)\implies \{\alpha \geq 1, \beta >0\}  \tag {1}$$
but the situation $\{\alpha >0, \beta \geq 1\}$ permits all possible values of $\mu$ (in $(0,1)$). 
In other words by restricting the mean to lie in the interval $[1/(1+\beta),\, 1)$ we can guarantee that we will have $\{\alpha \geq 1, \beta >0\}$. But there is no restriction on the mean that will guarantee us that $\{\alpha >0, \beta \geq 1\}$.
So we should turn to the variance, which is
$$\sigma^2 = \frac {\alpha \beta}{(\alpha + \beta)^2(\alpha + \beta +1)}$$
It is not difficult to determine that no restriction on the range of the variance can guarantee that we will have $\{\alpha >0, \beta \geq 1\}$.
So :
If we impose the restriction $\mu \geq  1/(1+\beta)$, then we will certainly have $\{\alpha \geq 1, \beta >0\}$, i.e. "not both parameters smaller than unity".
But this in a sense is a partial result, since there is also the other way in which "not both parameters are smaller than unity". In other words, this approach imposes the additional restriction that only $\beta$ is allowed to be smaller than unity. It is therefore incompatible with  Beta distributions for which we want to be able to have $\alpha \leq 1$ (and $\beta >1$).
