Let $\lambda \in \mathbb{R}_{> 0}$. A function $f : \mathbb{R}^d \to \mathbb{R}$ is $\lambda$-strongly convex, if for all $\alpha \in (0, 1)$ and all $u, v \in \mathbb{R}^d$ $$ f(\alpha u + (1 - \alpha) v) \leq \alpha f(u) + (1 - \alpha) f(v) - \frac{\lambda}{2} \alpha (1 - \alpha) \lVert u - v\rVert^2 $$ holds. In this blog post (ii -> iv) I found a condition for $f$ being $\lambda$-strongly convex:
If $g(x) = f(x) - \frac{\lambda}{2} \lVert x \rVert^2$ is convex, then $f$ is $\lambda$-strongly convex.
The author claims that this condition follows directly from definition of $g$ and convexity, however I'm having problems of proofing it for myself. This is basically how far I got:
$$\begin{align*} &\alpha f(u) + (1 - \alpha) f(v) - \frac{\lambda}{2} \alpha (1 - \alpha) \lVert{u - v}\rVert^2 \\ &= \alpha f(u) + (1 - \alpha) f(v) - \frac{\lambda}{2} \alpha (1 - \alpha) \left({\lVert{u}\rVert^2 + \lVert{v}\rVert^2 - 2\langle u, v\rangle}\right) \\ &\geq \alpha f(u) + (1 - \alpha) f(v) - \frac{\lambda}{2} \alpha (1 - \alpha) \left({\lVert{u}\rVert^2 + \lVert{v}\rVert^2}\right) \\ &= \alpha f(u) + (1 - \alpha) f(v) - \frac{\lambda}{2} \alpha (1 - \alpha) \lVert{u}\rVert^2 - \frac{\lambda}{2} \alpha (1 - \alpha) \lVert{v}\rVert^2 \\ &> \alpha f(u) + (1 - \alpha) f(v) - \frac{\lambda}{2} \alpha \lVert{u}\rVert^2 - \frac{\lambda}{2} (1 - \alpha) \lVert{v}\rVert^2 \\ &= \alpha \left({ f(u) - \frac{\lambda}{2} \lVert{u}\rVert^2 }\right) + (1 - \alpha) \left({ f(v) - \frac{\lambda}{2} \lVert{v}\rVert^2 }\right) \\ &= \alpha g(u) + (1 - \alpha) g(v) \\ &\geq g(\alpha u + (1 - \alpha) v) \\ &= f(\alpha u + (1 - \alpha) v) - \frac{\lambda}{2} \lVert{\alpha u + (1 - \alpha) v}\rVert^2 \\ &= ? \\ &= f(\alpha u + (1 - \alpha) v)\end{align*}$$
What am I missing?