Homework 7

Due: Dec. 17, 22:00:00

Lagrange multiplier

  1. Consider the following optimization problem:

    minx12+2x1x2+3x22+4x1+5x2+6x3

    subject tox1+2x2=3,4x3+5x1=6.

    • Write down the Lagrangian function and the (first-order) optimality condition.
    • Find the point satisfying the condition and find the corresponding Lagrange multiplier.
    • For each point satisfying the condition, determine whether it is the optimal solution.
  2. Consider the following optimization problem:

    minx12+(x2+1)2+(x3+1)2

    subject tox12+(x22)2+(x3+2)2=4,x12+x22+x32=4.

    • Write down the Lagrangian function and the (first-order) optimality condition.
    • Show that if a point (x1,x2,x3) satisfies the condition, then x2x3=2.
  3. Consider the following optimization problem:

    minx12+(x2+1)2+(x21)2

    subject tox12+(x22)2+x22=4.

    • Write down the Lagrangian function and the (first-order) optimality condition.
    • Find the point satisfying the condition and find the corresponding Lagrange multiplier.
    • For each point satisfying the condition, determine whether it is the optimal solution.

    (In fact, it is exactly the optimization problem in Problem 2 by substituting x3=x22.)

KKT matrix and KKT system

  1. Consider the following optimization problem:

    min12Qxw2

    subject toAx=b,

    where xRn, QRm×n with rank(Q)=n, wRm, AR×n with rank(A)= and bR.

    • Write down the KKT system.
    • Find the closed form solution for the optimal solution x and the corresponding Lagrange multiplier λ.

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