Lecture 4,Extremum

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    Instructor Dr. Rehana Naz 1 Mathematical Economics II

    Lectures 4

    Section 11.4 from Fundamental methods of Mathematical Economics, McGraw Hill 2005, 4 th Edition.

    by A. C. Chiang & Kevin Wainwright is covered. Please read this section from book. The brief

    summary of this section and some examples are solved here for better understanding.

    Two-variables case: We have already discussed the extremum of function of two choice variables in Lecture 1.

    Here we will express second order conditions using leading principal minors and principal minors of a matrix.

    First-order condition for extremum

    Given a function of twochoice variables

    = (,) A first order necessary condition for the existence of a relative maximum or a relative minimum of a function f

    whose partial derivatives,exist is

    = 0,

    = 0

    which yields the critical values ,Sufficient conditions:

    Determinantal test for relative extremum: For the function = (,), the second order total differentialcan be written as

    = [ ] The matrix

    = is known as the Hessian matrix for function = (,).The leading principal minors of H are denoted by

    || = ||,|| = || The second order sufficient condition for an extremum of z is as follows:

    1. is a maximum if|| < 0,|| > 0 ( is negative definite).2.

    is a minimum if |

    | > 0,|

    | > 0(

    is positive definite) .

    3.

    Neither maximum nor minimum if any of nonzero leading principal minor does not fit in above twosign patterns. ( is indefinite)In using this condition, we must evaluate all the leading principal minors at the critical value critical

    values ,.

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    Instructor Dr. Rehana Naz 2 Mathematical Economics II

    Objective functions wih more than two variables

    First-order condition for extremum

    Given a function of three choice variables

    = (,,) A first order necessary condition for the existence of a relative maximum or a relative minimum of a function f

    whose partial derivatives,, exist is = 0, = 0, = 0

    which yields the critical values

    , ,.

    Sufficient conditions:

    Determinantal test for relative extremum: For the function = (,,), the second order totaldifferential can be written as

    = [ ]

    The matrix

    =

    is known as the Hessian matrix for function = (,,).The leading principal minors of H are denoted by

    || = | |,|| = ,|| = ||The second order sufficient condition for an extremum of z is as follows:

    1.

    is a maximum if|

    | < 0,|

    | > 0,|

    | < 0 (

    is negative definite).

    2.

    is a minimum if |

    | > 0,|

    | > 0,|

    | > 0 (

    is positive definite).

    3. Neither maximum nor minimum if any of nonzero leading principal minor does not fit in abovetwo sign patterns. ( is indefinite)

    In using this condition, we must evaluate all the leading principal minors at the critical value critical

    values , ,.

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    Instructor Dr. Rehana Naz 3 Mathematical Economics II

    n-variable case: Leading Principal minors test

    Condition Maximum Minimum

    First-order necessary

    condition

    = 0, = 0, = 0, = 0 = 0, = 0, = 0, = 0Second-order sufficient

    condition

    || < 0,|| > 0,|| < 0,..Even order leading principal minors>0

    Odd order leading principal minors 0,|| > 0, || > 0, | | > 0 is positive definite .

    In using this condition, we must evaluate all the leading principal minors at the critical value critical

    values , , .Example 1: Given

    = (,,) = 2 + 2 + 2 + 4 2(a) Find the extreme values of function.(b) Check whether they are maxima or minima. Find also minimum or maximum value of function.Solution:

    (a) The first order partial derivatives are = 2 2 + 2

    =

    2

    + 4

    = 2 + 8 2The first-order necessary condition for maximum or minimum is

    = 2 2 + 2 = 0 = 2 + 4 = 0 = 2 + 8 2 = 0This linear system yields = 1, = , = .(b) The Hessian matrix is

    = 2 2 22 4 02 0 8

    The leading prinical minors of H are

    || = |2| = 2,|| = 2 22 4 = 4, || = || = 2 2 22 4 02 0 8

    = 16

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    Instructor Dr. Rehana Naz 4 Mathematical Economics II

    Since all leading principal minors are positive, ( is positive definite), we conclude that relative minimumoccurs at the critical point and minimum value is = .Example 2: Given

    =

    (

    ,

    ,

    ) = 25

    (a) Find the extreme values of function.(b) Check whether they are maxima or minima. Find also minimum or maximum value of function.

    Solution:

    (a) The first order partial derivatives are = 2 = 2 = 2

    The first-order necessary condition for maximum or minimum is

    = 2 = 0, = 2 = 0, = 2 = 0This linear system yields = 0, = 0, = 0.

    (b) The Hessian matrix is = 2 0 00 2 0

    0 0 2The leading prinical minors of H are

    |

    | = |

    2| =

    2,|

    | =

    2 0

    0 2=

    4,|

    | = |

    | =

    2 0 0

    0

    2 0

    0 0 2=

    8

    Since || < 0,|| > 0, || < 0, ( negative definite), we conclude that relative maximum occurs at thecritical point and maximum value is = 25.Caution: The test of leading principals minors fails if any of leading principal minors is zer and nonzero one fit

    in attren for maximum or minimum. In such a case maximum and minimum can be checked by calculating all

    principal minors of Hessian matrix.

    n-variable case: Principal minors test

    Condition Maximum Minimum

    First-order necessarycondition = 0, = 0, = 0, = 0 = 0, = 0, = 0, = 0Second-order necessary

    condition condition

    Even order principal minors0Odd order principal minors0 is negative semidefinite.

    All principal minors 0. is positive semidefinite.

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    Instructor Dr. Rehana Naz 5 Mathematical Economics II

    In using this condition, we must evaluate all the leading principal minors at the critical value critical

    values , , .Example 3: Given

    = (,,) = 2 + 6 + 2 6 + 5(a) Find the extreme values of function.(b) Check whether they are maxima or minima. Find also minimum or maximum value of function.

    Solution:

    (a) The first order partial derivatives are found and set to zero = 6 + 6 = 0 = 2 2 = 0 = 6 12 = 0

    This linear system yields = , = 1, = and = 0, = 1, = 0.(b) The Hessian matrix is

    = 12 0 60 2 06 0 12

    Evaluation at = , = 1, = The leading prinical minors of H are

    || = 12(12) = 6,|| = 6 00 2 = 12,|| = || = 6 0 60 2 06 0 12 = 72

    Since |

    | < 0,|

    | > 0,|

    | < 0, (

    negative definite), we conclude that relative maximum occurs at

    the critical point and maximum value is = .Evaluation at = , = , = The leading prinical minors of H are

    || = |12(0)| = 0,|| = 0 00 2 = 0,|| = || = 0 0 60 2 06 0 12 = 72

    The non-zero leading principal minor || > 0 suggests that may be positive semi definite. The leadingprincipal minors test fails for the point = , = , = . In this case we need to calculate all principalminors.

    The first order principal minors are

    0, -2, -12.

    All first order principal minors 0But third order principal minor > 0 therefore is indefinite. Neither maximum nor minimum occurs at thispoint.

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    Instructor Dr. Rehana Naz 6 Mathematical Economics II

    Example 4: Find the extreme value for following function

    = (,,) = + 3 + 2 3Check whether they are maxima or minima.

    Solution:

    The first order partial derivatives are found and set to zero

    = 3 + 3 = 0 = 2 = 0 = 3 6 = 0This system yields two solutions:

    = 0, = 1, = 0 implying = 1

    =

    ,

    = 1,

    =

    implying

    =

    The Hessian matrix is

    = 6 0 30 2 03 0 6

    Evaluation at = , = , = The leading prinical minors of H are

    || = |6(0)| = 0,|| = 0 00

    2 = 0,|| = || = 0 0 30 2 0

    3 0

    6

    = 18The non-zero leading principal minor || > 0 suggests that may be positive semi definite. The leadingprincipal minors test fails for the point = , = , = . In this case we need to calculate all principalminors.

    The first order principal minors are

    0, -2, -6.

    All first order principal minors 0But third order principal minor > 0 therefore is indefinite. Neither maximum nor minimum occurs at thispoint.

    Evaluation at = , = 1, = The leading prinical minors of H are

    || = 6(12) = 3,|| = 3 00 2 = 6,|| = || = 3 0 30 2 03 0 6 = 18

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    Instructor Dr. Rehana Naz 7 Mathematical Economics II

    Since || < 0,|| > 0,|| < 0, ( negative definite), we conclude that relative maximum occurs atthe critical point and maximum value is = .

    Example 5: Given

    =

    (

    ,

    ,

    ,

    ) = 8

    + 4

    + 2

    + 5

    + 3.5

    24

    + 20

    75

    (a) Find the extreme values of function.(b) Check whether they are maxima or minima.Solution:

    (a) The first order partial derivatives are found and set to zero = 8 24 = 0 = 24 + 4 = 0 = 10 + 20 = 0 = 7 = 0

    This system yields

    = 3,

    = 0,

    =

    2,

    = 0 and

    = 3,

    =

    ,

    =

    2,

    = 0

    (b) The Hessian matrix is

    = 8 0 0 00 48 + 4 0 00 0 10 00 0 0 7

    Evaluation at = 3, = 0, = 2, = 0The leading prinical minors of H are

    || = |8| = 8,|| = 8 00 4 = 12,|| = 8 0 00 4 00 0 10 = 320, || = || = 8 0 0 00 4 0 00 0 10 00 0 0 7

    = 2240Since || > 0,|| > 0,|| > 0, || > 0, ( positive definite), we conclude that relative minimumoccurs at the critical point.

    Evaluation at = 3, = , = 2, = 0The leading prinical minors of H are

    |

    | = |8| = 8,|

    | =

    8 00

    4

    =

    32

    As || < 0 suggests that is indefinite. Neither maximum nor minimum occurs at this point.