ES10005. Questions for discussion. Exercises on Topics T3 and T4: Topic 3: Optimization problems and terminology. Finding critical points. Optimization of functions of 2 variables. Topic 4: Derivatives and shapes of functions, concave and convex functions, second-order conditions. Q1. Use the unconstrained optimization problem min f ( x ) , where f ( x) ax 2 x x to show off your knowledge of the following terms: objective function parameter first order condition stationary point local minimum second order condition strictly convex function choice variable (first) derivative function critical point second derivative function global minimum convex function unique global minimum Q2. Solve: min f ( x , y ) , where f ( x , y ) 5x 2 6 xy 2 y 2 2 x 2 y 1000 x,y Q3. Discuss: max f ( x ) , where f ( x ) cos x . x (Start with a graph of the function, and confirm your comments about the solution by treating the problem algebraically.) ES10005 Classes 3&4 -1- Q4. Solve instantly and without writing anything: min ( p 1) 2 (q 2) 2 (r 3) 2 ( s 4) 2 (t 5) 2 (u 17) 2 p ,q ,r , s ,t ,u Now algebraically confirm your brilliant flash of insight. (No need to discuss SOC.) Q5. If I charge $ P per person for admission to my next rock concert, the audience will be of size A( P) . (a) (b) (c) (d) (e) (f) Sketch A( P) . Interpret A(0) . What is the value of A() ? Discuss the likely signs of the functions A( P), A ( P), A ( P) when P 0 . The costs of putting on the concert consist of a fixed cost $C , plus an additional $k for every person who attends. If my aim is to maximize the profit from the concert, what is the objective function? Hint: profit=revenue-cost. In fact A( P) 10000e 0.025 P and k 10 . What is the best price to charge? Q6. Convex, concave, both or neither? (a) (d) (g) f ( x) 0 f ( x) 10x 2 f ( x) exp( x) f ( x ) ln x (i) (j) (k) (l) ES10005 Classes 3&4 f ( x) x f ( x) 1 / x f ( x) x 0.9 (b) (e) (h) f ( x) 100 (c) f ( x) x 3 (f) f ( x) exp( x) ( x 0) ( x 0) ( x 0) ( x 0) -2- f ( x) 10x f ( x) x 4