MAT 21C Lecture Notes - Lecture 25: Maxima And Minima, Quadratic Function, Saddle Point

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MAT 21C Lecture 25 Extreme Values of Multi-Variable Functions
If  is a continuous function on a closed, bounded domain R in the plane,
then  attains its maximum and minimum values at some points in R.
Possible points where  attains maximum and/or minimums:
o a) Critical points: interior points of R such that either i) or is not
defined or ii)   
o b) Boundary points of R
We narrow our focus to only critical points and boundary points in the search for
maximums and minimums.
Second Derivative Test: If   for f(x) in which x = a is a critical point, then
o a) If   , then there is a local minimum at x = a
o b) If   , then there is a local maximum at x = a
o c) If  , then the test is inconclusive.
The discriminant is defined as   
    .
Suppose (a, b) is a critical point of  such that     .
o a) If    and  , then there is a local maximum at (a, b)
o b) If    and   , then there is a local minimum at (a, b)
o c) If  , then there is a saddle point at (a, b)
o d) If  , then no conclusion can be made.
Examples:
o 1) Determine if any local extrema exist for .
The critical point(s) of f are the solutions to   
      
      
   The only critical point of f
is (0, 0). Applying the discriminant, we obtain   
    
  
   . Since   and   , then there is a local
minimum of  .
o 2) Given , the critical point(s) of f are solutions to
      
  
      
   Critical point of f is (0, 0). Then   
  
 
       Since    and   , then
there is a local maximum of  .
o 3) Find the local extrema, if any, for
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MAT 21C Full Course Notes
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Document Summary

Mat 21c lecture 25 extreme values of multi-variable functions: b) boundary points of r maximums and minimums, we narrow our focus to only critical points and boundary points in the search for. The critical point(s) of f are the solutions to (cid:4666)(cid:1876)(cid:2870)+(cid:1877)(cid:2870)(cid:4667)= (cid:3643)< (cid:884)(cid:1877)=(cid:882)}(cid:3643){(cid:1876)=(cid:882) (cid:884)(cid:1876),(cid:884)(cid:1877)> = (cid:3643){(cid:884)(cid:1876)=(cid:882) (cid:1877)=(cid:882)}. The only critical point of f is (0, 0). Applying the discriminant, we obtain =|(cid:3051)(cid:3051) (cid:3051)(cid:3052) (cid:3052)(cid:3051) (cid:3052)(cid:3052)|=|(cid:884) (cid:882)(cid:882) (cid:884)|= (cid:884)(cid:4666)(cid:884)(cid:4667) (cid:882)(cid:2870)=(cid:886)>(cid:882). Since >(cid:882) and (cid:3051)(cid:3051)>(cid:882), then there is a local minimum of (cid:4666)(cid:882),(cid:882)(cid:4667)=(cid:882): 2) given (cid:4666)(cid:1876),(cid:1877)(cid:4667)= (cid:4666)(cid:1876)(cid:2870)+(cid:1877)(cid:2870)(cid:4667), the critical point(s) of f are solutions to. Since >(cid:882) and (cid:3051)(cid:3051) (cid:3643) =

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