Local Extrema: Homework Solution Analysis

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SUMMARY

The discussion focuses on the analysis of local extrema using the first derivative test in calculus. The critical points identified were 0 and ±0.5, with x = 0 ruled out due to the function approaching infinity. The participant initially misidentified x = 0.5 as a local maximum, but correctly concluded that it is a local minimum since the first derivative changes from negative to positive at this point. This highlights the importance of understanding the formal definition of local maxima and minima.

PREREQUISITES
  • Understanding of calculus concepts, specifically local extrema.
  • Familiarity with the first derivative test for critical points.
  • Knowledge of function behavior near critical points.
  • Graphical interpretation of functions and their derivatives.
NEXT STEPS
  • Study the first derivative test in detail, including examples and counterexamples.
  • Explore the second derivative test for further analysis of local extrema.
  • Review the behavior of functions like secant and cosecant to understand local extrema in complex cases.
  • Practice identifying local maxima and minima through various calculus problems.
USEFUL FOR

Students studying calculus, educators teaching mathematical concepts, and anyone seeking to deepen their understanding of local extrema and derivative tests.

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Homework Statement



http://i.minus.com/jZdpOtdOiChOn.jpg

Homework Equations



Local extrema can be determined using the first derivative test.

The Attempt at a Solution



I ran the first derivative test to find the critical points, which were 0 and plus/minus 0.5. I plugged in the values into the original equation. x = 0 makes the function go to infinity, so x = 0 can be ruled out as any sort of local extrema. x = 0.5 makes the function = 2sqrt(e), while x = -0.5 makes the function = -2sqrt(e). Naively, I chose D, which pegs x = 0.5 as the local maximum, which makes sense, doesn't it?

Unfortunately the formal definition of a local maxima is that the sign of the first derivative changes from positive to negative, and in the case of x = 0.5, the opposite happens; the sign actually flips from negative to positive around it, making it a local minima.

I'm assuming this is the correct explanation.

Who else would have fallen for this? Let's be honest :P.
 
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I knew people who were fooled by this sort of problem. It is possible that a local maximum be "lower" than a local minimum. Look at the graphs of secant or cosecant, for example.
 

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