The function g(x) is continuous and differentiable at all points in R as 8∉I.
On differentiating we see that
g′(x)=2x(x−8)95−9x25(x−8)145=10x×(x−8)−9x25(x−8)145=x×(x−80)5(x−8)145
Stationary Points.
The stationary points are given by solving g′(x)=0.
g′(x)=0⇒x×(x−80)=0⇒x=0 or x=80
We see that x=80 is the only stationary point in I.
The second derivative can be found by applying the quotient rule to the derivative of g(x) and we obtain:
Using the quotient rule for differentiation we see that
g″
Hence r(x)=\simplify[std]{({a^2-3*a*b+2*b^2}*x^2+{4*b*c*(a-b)}*x+{2*c^2*b^2})}
The nature of the stationary points are determined by evaluating g''(x) at the stationary points.
There is only one stationary point \displaystyle x=\simplify[std]{{2*b*c}/{2*b-a}} in I and at that point we have:
g''\left(\simplify[std]{{2*b*c}/{2*b-a}}\right)=\var{valsd} \gt 0
Hence this point is a local minimum.
Evaluating at end points of the interval.
The values of g at the endpoints are:
g(\var{l})=\var{valbegin} and g(\var{m})=\var{valend}, both to 3 decimal places.
Global Maximum and Minimum
Global Maximum: Since g does not have a local maximum in the interval I, it must take a global maximum value at one of the end points of the interval.
From the values found for g(\var{l}) and g(\var{m}) found above, we see that x=\var{xma} is the global maximum for g in the interval I.
Global Minimum: The local minimum of g given by \displaystyle x=\simplify[std]{{2*b*c}/{2*b-a}} \in I is the only local minimum and must be a global minimum in I.
Note that the global minimum value for g on I is:
g\left(\simplify[std]{{2*b*c}/{2*b-a}}\right)=\var{valmin}