Taylor's theorem shows that any function can be approximated in the vicinity
of any convenient point by a series of terms involving the function and its
derivatives, Here we look at some applications of the theorem for functions of
one and two variables.
a Any continuous and differentiable function of a single variable, \(f(x),\) can
be approximated near the point \(a\) by the formula
\\[
\begin{aligned}
f(x)=& f(a)+f(a)(x-a)+0.5 f^{\prime \prime}(a)(x-a)^{2}+\\\
&+\text { terms in } f^{\prime \prime \prime}, f^{\prime \prime \prime},
\ldots .
\end{aligned}
\\]
Using only the first three of these terms results in a quadratic Taylor
approximation. Use this approximation
together with the definition of concavity to show that any concave function
must lie on or below the tangent to the function at point \(a\)
b. The quadratic Taylor approximation for any function of two variables, \(f(x,
y),\) near the point \((a, b)\) is given by
\\[
\begin{aligned}
f(x, y)=& f(a, b)+f_{1}(a, b)(x-a)+f_{2}(a, b)(y-b) \\
&+0.5\left[f_{11}(a, b)(x-a)^{2}\right.\\\
&\left.+2 f_{12}(a, b)(x-a)(y-b)+f_{22}(y-b)^{2}\right]
\end{aligned}
\\]
Use this approximation to show that any concave function (as defined by
Equation 2.84 ) must lie on or below its tangent plane at \((a, b)\)