 Entropy lower bound from the largest atom

For a finite probability distribution with largest atom $\Pi$, its base-two Shannon entropy satisfies $H\ge 2(1-\Pi )$. If $\Pi \ge 1/2$, coarsen the distribution to the indicator of a largest atom: Shannon entropy cannot increase under a deterministic function, so $H\ge h_2(\Pi )$. The concavity of binary entropy places it above the chord from $(1/2,1)$ to $(1,0)$, giving $h_2(\Pi )\ge 2(1-\Pi )$. If $\Pi \le 1/2$, every nonzero probability $p$ has $-{\log }_{2}p\ge -{\log }_2\Pi$, so $H\ge -{\log }_2\Pi$. The function $-{\log }_2\Pi -2(1-\Pi )$ vanishes at $1/2$ and has negative derivative on $(0,1/2]$, proving the same bound. Equality in the combined bound occurs for a point mass or a distribution uniform on two points.