3. Problems 2.3 Suppose that f(x,y)=xy, with the constraint that x and y are constrained to...
Suppose that f(x,y)=xy, with the constraint that x and y are constrained to sum to 1. That is, x + y = 1. Given this constraint, which of the following functions of x is equivalent to the original function f(x,y)=xy? $$ \begin{aligned} &\tilde{f}(x)=1-x \\ &\tilde{f}(x)=x-x^{2} \\ &\tilde{f}(x)=x+x^{2} \\ &\widetilde{f}(x)=x^{2} \end{aligned} $$The langrange method can also be used to solve this constrained maximization problem.The langrangian for this constrained maximization problem is _______ Which of the following are the first order conditions for a critical...
4. Problems 2.4 Suppose you would like to maximizefxy)-xy, subject to the constraint that x and y are constrained to sum to 1. That is, xy 1 Instead of working through this maximization problem, however, you could also work through the dual problem to this, which is: Minimize x+ y subject to xy = 0.25 Hint: Assume x and y take only positive values The Lagrangian for this constrained minimization in the dual problem is Which of the following are...
Suppose f(x,y)=xy(1−10x−4y)f(x,y)=xy(1−10x−4y). f(x,y)f(x,y) has 4 critical points. List them in increasing lexographic order. By that we mean that (x, y) comes before (z, w) if x<zx<z or if x=zx=z and y<wy<w. Also, determine whether the critical point a local maximum, a local minimim, or a saddle point. First point (____________,__________) Classification: Second point(__________,__________) Classification: Third point (___________,_________) Classification: Fourth point (__________,_________) Classification:
Suppose that f(x,y)=xy. Find the maximum value of the function if x and y are constrained to sum to 1. b) How can you be sure this is a maximum and not a minimum?
Please help me solve this problem. Thanks! Problem 1 (weight 25%) Consider the problem Maximise f(x, y, z) = x + y +2z when g(x,y,z) = x2 +y2 +2z2 = 4. (*) (a) Explain why the problem (*) does have a solution (b) Suppose that ( has a solution, and use Lagrange's method to set up the necessary conditions for solving the problem. (c)Find all the triplets (r. y, 2) that satisfy the necessary conditions for solving the problem (*),...
You can just answer question bcd 5Suppose we have an objective function f(x,y) and a constraint y-h). Suppose the Lagrangian has a critical point at (0,0,X). Explain in a sentence or two how you know that line r(t) = (t,th,(0)) is tangent to the constraint. b At the critical point, compute the second derivative of f along the line in a d2 At the critical point, compute the second derivative of f along the graph y - h(x) Describe the...
6. Consider the following constrained maximization problem: 2 5 tu (х, у) x7y7 max х,у s.t Рxх + pуy < м 3, py = 4, M = 12. Answer the following questions with px a. Write down the Lagrangian function b. Derive the first order conditions c. Derive the optimality condition from those conditions d. Write the other optimality condition (since there should be two in order for us to solve for two unknowns) e. Find the optimal values for...
3. Find the minimum and maximum values of the function f (x, y) = x2 + y subject to the constraint x y = 162. Use the Lagrange Equations. (Use symbolic notation and fractions where needed.) maximum value of the function| minimum value of the function 3. Find the minimum and maximum values of the function f (x, y) = x2 + y subject to the constraint x y = 162. Use the Lagrange Equations. (Use symbolic notation and fractions...
f(x, y) = (xy explain while constraint is x xº+y4 = 16 this function can't have a maximum valde subject to the constraint explain why this function has to have a minimum vulve subject to the constraint
3. (8 marks) Regarding the optimization of f(x) subject to the constraint g(x) x(n) are choice variables and c is a parameter, state the optimization problem and the first-order and second-order conditions for both a maximum and a minimum, where the Lagrangian and Lagrangian multiplier are denoted as l(x) and λ, respectively. c, where 3. (8 marks) Regarding the optimization of f(x) subject to the constraint g(x) x(n) are choice variables and c is a parameter, state the optimization problem...