| Point Marginal Profit | PointMP.xls |
Open the file PointMP.xls.

Refer back to Chapter 4 and the introduction to marginal
analysis. The three functions above for cost, revenue, and profit
are identical to those in the file Marginal.xls. The
derivative of the profit function (in the last column of PointMP.xls
above) plays the same predictive role for discerning trends in
the profit function P(q) as the expression P(q+1) - P(q) does in Marginal.xls.
Instead of examining tables to determine where marginal cost
= marginal revenue, we will use derivatives to find turning
points of the profit function.
The slope of the tangent line to a profit curve at a point (q,
P(q)) is usually fairly close to the slope of the secant line
P(q+1) - P(q). The terminology point marginal profit is
appropriate when tangent lines, instead of secant lines, are used
in this way to measure rates of change. It turns out that
, the
derivative function, is much easier to work with algebraically
than the difference function P(q+1) - P(q) which is why
economists prefer to work with point marginal cost, point
marginal revenue, and point marginal profit.
Looking back at a portion of the table in Marginal.xls on page 72, we see that marginal profit changes from positive at q = 98 to negative at q = 99.
quantity marginal profit
The quantity that corresponds to the theoretical maximum
profit is located between 98 and 99. From the derivative of the
profit function
,
[or profit in PointMP.xls], we observe that
is positive and
is negative. Solving
the equation
= 0
gives us a quick way of calculating the turning point. The
positive solution of the equation -.006q2 + 58 = 0 is
q =
which is
approximately 98.32. We can see that the value of q that
maximizes the profit function
is precisely that value of q for which
crosses
the positive horizontal axis.
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Copyright © Joseph F. Aieta, Babson
College 1997