Show that if the reward function \(r\) of a Markov decision problem is bounded in absolute value by a constant \(c\), then for any policy \(\mathbf{u}\), the infinite horizon discounted value function of \(\mathbf{u}\) with discount factor \(\alpha\) is bounded in absolute value by \(c /(1-\alpha)\).