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Dr' Elaine S' Tan

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2.Use the Lagrange Multiplier method to optimise functions subject to a constraint. ... is called a Lagrange multiplier and is treated as a variable (interpretation: ... – PowerPoint PPT presentation

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Title: Dr' Elaine S' Tan


1
  • Dr. Elaine S. Tan
  • EC 1102 Math Economics
  • Topic 7- Constrained Optimisation
  • Learning outcomesBy the end of this module, you
    should be able to
  • 1.Understand the difference between constrained
    and unconstrained optimisation.
  • 2.Use the Lagrange Multiplier method to optimise
    functions subject to a constraint.
  • 3.Interpret the meaning of the Lagrange
    Multiplier in an economic context.

2
Constrained Optimization
  • How can you find the optimum if you have a
    constraint on the possible answers?
  • Some possible economic applications
  • Maximizing consumer utility, given a budget
    constraint
  • Maximizing profits, given firms output
    constraint
  • We are only going to be looking at linear
    constraints though the techniques covered here
    can be extended to deal with other types of
    constraints (non linear, inequality constraints,)

3
  • To find the optimum values of a function zf(x,y)
    subject to a constraint, axbyM, we define the
    Lagrangian Multiplier, ?, where
  • LL(x,y,?)f(x,y) ?(M-ax-by)
  • ? is called a Lagrange multiplier and is treated
    as a variable (interpretation how z changes when
    constraint increases by 1 to M 1.)
  • L is the sum of the original function to be
    optimized and ?(constraint0).
  • The optimum value of ? may be determined in
    addition to the optimum values of the variables x
    and y.
  • The method of finding the optimum value(s) of L
    is the same as in the previous section, but
    extended slightly, since the problem now consists
    of three independent variables.

4
Example (Application 1)
  • The total revenue function for two goods is given
    by
  • TR36x-3x256y-4y2
  • Find the number of units o each good which must
    be sold if profit is to be maximized when the
    firm is subject to a budget constraint 5x10y80
  • Define the Lagrangian
  • Step 1 Find the first order partial derivatives

5
  • Step2 Equate the first order partial
    derivatives to zero and solve for x, y and ?.
  • Step 3 Show that solutions for x and y are the
    appropriate nature (i.e. minimum or maximum, not
    saddle or inflection)

6
Economic Application 2
  • A firm produces goods X and Y.
  • (a) Find the optimal level of X and Y it should
    produce so profits are maximized, given the
    following total profit function capacity
    constraint
  • ? 80x 2x2 xy 3y2 100y
  • x y 12
  • (b) What is the effect on ? if capacity increases
    by 1-unit?

7
Economic Application 3
  • Avner has 120 to be spent on 2 goods, x and y.
    His utility function is
  • U xy when Px 1, Py 4
  • How many units of x and y will Avner purchase?
  • What is the effect on his utility with a 1
    increase in his budget?
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