perform the second derivative test to classify points as local min, max, or saddle points - Maple Help

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Student[MultivariateCalculus][SecondDerivativeTest] - perform the second derivative test to classify points as local min, max, or saddle points

Calling Sequence

SecondDerivativeTest(f(x,y,...), [x,y,...] = [a,b,...], opts)

SecondDerivativeTest(f(x,y,...), [x,y,...] = [[a,b,...], [c,d,...]], opts)

Parameters

f(x, y, ...)

-

algebraic expression

x, y, ...

-

name; specify the independent variables

a, b, c, d, ...

-

real constant; evaluate the SecondDerivativeTest at the specified point

opts

-

(optional) equation of the form output=method where method is hessian or a list of keywords; specify output options

Description

• 

The SecondDerivativeTest command returns the classification of the desired point(s) using the second derivative test . Point(s) can either be classified as minima  (min), maxima  (max), or saddle points  (saddle). Alternatively, the Hessian matrix used by the second derivative test can be returned by using the optional argument.

• 

If the optional parameter is given as output = hessian, this command returns the Hessian matrix, if it exists, for the point(s) specified. Alternatively, this parameter can be given in the form output =list where the list contains one or more of the keywords min, max, or saddle.  The default value for this parameter is output = [min, max, saddle].

Examples

withStudent[MultivariateCalculus]:

SecondDerivativeTestx2+y2,x,y=0,0,output='hessian'

2002

(1)

SecondDerivativeTestx2+y2,x,y=0,0

LocalMin=0,0,LocalMax=,Saddle=

(2)

SecondDerivativeTestx22x+8+y24y+z2+2z,x,y,z=1,2,1,output='hessian'

200020002

(3)

SecondDerivativeTestx22x+8+y24y+z2+2z,x,y,z=1,2,1,output='min','saddle'

LocalMin=1,2,1,Saddle=

(4)

See Also

Student, Student[MultivariateCalculus]


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