Module 4 : Local / Global Maximum / Minimum and  Curve Sketching
Lecture 11 : Convex / Concave Functions [Section 11.2]
11.2.5 Example:
  Consider the function . It is easy to check (using definition or proportion 11.2.3) that it is concave up everywhere.
                              
 

If we look at the slop of tangent, i.e., , we observe that it increases as we move from left to right. Analytically, is increasing for all .
Similarly, for the function which is concave down, the slop of the tangent, decreases as we move from left to right.
This motivates our next theorem.

11.2.6
Theorem (First derivative test for convexity / concavity):
  Let be such that exists. Then the following holds:
  (i) is concave upward if and only if is increasing.
  (ii) is concave downward if and only if is decreasing.
 

(iii) If is strictly increasing, then is strictly concave upward.

  (iv) If is strictly decreasing, then is strictly concave upward.                                                   
 
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