I liked
@Charles Link 's response. It also got me thinking. Frequently when faced with a constrained multi-variable optimization problem, it can be tough to directly prove optimaliity. A much slicker approach, which sometimes works, is to use something like the tools in information theory (e.g. KL Divergence), or more generally: convexity. In particular, answers that involve all values identically matching tend to scream convexity for a solution. After suitable domain restrictions, trig functions are rich in convexity, so that's what I used here.
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edit:
to clean this up a bit and simplify notation, let
## \Theta = \frac{a+b+c}{3}##
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starter piece / lemma:
claim:
##\sin^2\big(\Theta \big) \geq \frac{1}{9}##
##\sin(x)## is negative convex in ##(0, \frac{\pi}{2})##, i.e. its second derivative is ##-\sin(x)##, which is real non-positive over that interval. If we apply Jensen's Inequality, we have:
## \sin\big(\Theta \big) = \sin\big(\frac{a+b+c}{3}\big) \geq \frac{1}{3}\big(\sin(a) + \sin(b) + \sin(c)\big) = \frac{1}{3}\big(1) = \frac{1}{3}##
hence if we square both sides
##\sin\big(\Theta \big)^2 = \sin^2\big(\Theta \big) \geq \frac{1}{9}##
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now consider the original inequality we want to prove:
##\tan^2 a+\tan^2 b+\tan^2 c \geq \frac{3}{8}##
note that ##\tan^2(x)## is convex over our domain -- again verified via second derivative test, which is real, non-negative 2nd derivative.
Multiply each side by ##\frac{1}{3}## and apply Jensen's Inequality.
##\frac{1}{3}\big(\tan^2 a+\tan^2 b+\tan^2 c\big) \geq \tan^2\Big(\frac{1}{3}\big( a+b+ c \big)\Big) = \tan^2\Big(\Theta\Big) \geq \frac{1}{8}##
hence if we can prove
## \tan^2\Big(\Theta\Big) \geq \frac{1}{8}##
then we're home free.
## \tan^2\Big(\Theta\Big) = \frac{\sin^2\Big(\Theta \Big)}{1-\sin^2\Big(\Theta \Big)} \geq \frac{1}{8}##
##\sin^2\big(\Theta \big) \geq \frac{1}{8}\Big(1-\sin^2\big(\Theta \big)\Big) = \frac{1}{8} -\frac{1}{8}\sin^2\big(\Theta \big)##
##\frac{9}{8}\sin^2\big(\Theta \big) \geq \frac{1}{8}##
or equivalently
##\sin^2\Big(\Theta \Big) \geq \frac{1}{9}##
which is true by the initial lemma
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technical note:
##0 \lt \Big(1-\sin^2\big(\Theta \big)\Big)##
-- edit: if further justification is needed --
The above is equivalent to
##
\sin^2\big(\Theta \big) \lt 1
##
Note that the sine function has a magnitude at most of 1. And It cannot be equal to one over our domain (which ##\Theta## -- the average of a, b, and c-- must be in). Hence the magnitude of the sine function over our domain is less than one. This means that the squared value of the sine function (equivalently, the squared magnitude of the sine function) must be less than one over our domain.