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 point for the langranian function L ? Check all that apply.
$$ \begin{aligned} &\frac{d L}{d \lambda}=1-x=0 \\ &\frac{d L}{d x}=y-\lambda=0 \\ &\frac{d L}{d \lambda}=1-x-y=0 \\ &\frac{d L}{d y}=x-\lambda=0 \\ &\frac{d L}{d y}=y \lambda=0 \end{aligned} $$
Suppose that f(x,y)=xy, with the constraint that x and y are constrained to sum to 1....
3. Problems 2.3 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 functionfx,y)=xy? f (x) = x2 f (x) = 1-r f (x) -x-x2 f(x) = x + x2 using the first order condition that f . (x) = 0, the value of x that maximizes f(x) (andfx,y)) is x- corresponding value...
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 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?
7. Solve the constrained optimization problem. A picture of level curves of f with the constraint (in blue) is given below. 1 Optimize f(x,y) 1 1 = - +- T y subject to the constraint + ten = 1.
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
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...
Consider the function fix.) - xy - 3x - 2y + 17x+y+37 and the constraint x. - - 6x + 3y - 12. Find the optimal point of f(x,y) subject to the constraint oxy). Enter the values of, . fl.), and below. NOTE: Enter correct to 2 decimal places X=8.50 a у f(xy) - 6.50,3 A 3.83
7) Given f(x,y)= x^2+y^2+2, subject to the constraint g(x,y)=x^2+xy+y^2-4=0, write the system of equations which must be solved to optimize f using Lagrange Multipliers.
16. xyty Let f(x, y) = x3 + xy + y}, g(x, y) = x3 a. Show that there is a unique point P= (a,b) on 9(x,y) = 1 where fp = 1V9p for some scalar 1. b. Refer to Figure 13 to determine whether $ (P) is a local minimum or a local maximum of f subject to the constraint. c. Does Figure 13 suggest that f(P) is a global extremum subject to the constraint? 2 0 -3 -2...
Exercise 7.3. Consider the nonlinearly constrained problem minimize xER2 to (7.1) a x2 1 = 0. subject 1)T is a feasible path for the nonlinear constraint (a) Show that x(a) x x - 1 = 0 of problem (7.1). Compute the tangent to the feasible path at E = (0, 0)7 (sin a, cos a - + X (b) Find another feasible path for the constraint x? + (x2 + 1)2 - 1 = 0. Compute the tangent to the...