I need proving with the prior given

Let X1, X2, ..., XI. be i.i.d. from uniform distribution U[B, 9 + 1]. Consider the estimatim of 9 under the squared error loss. 1. Let 1I[B] be a continuous probability distribution. Derive the Bayes estimator w.r.t the prior 11:, and prove that this estimator is consistent. 2. Show that (Km) + Km - 1]/2 is a minimax estimator of B. The notation Xm means order statistics