For
\(f(x)=\frac{1}{1+x^2}\),
consider the Maclaurin partial sums
\(P_2(x)=1-x^2\),
\(P_6(x)=1-x^2+x^4-x^6\), and
\(P_{10}(x)=1-x^2+x^4-x^6+x^8-x^{10}\).
The two graph panels compare these partial sums with \(f\) near and beyond \(|x|=1\).
a) Use the graph to predict how the approximations change as the degree increases at \(x=0.5\). Verify by evaluating \(f(0.5)\), \(P_2(0.5)\), \(P_6(0.5)\), and \(P_{10}(0.5)\).
b) Repeat the comparison at \(x=1.2\). Does increasing the degree improve the approximation there?
c) Write \(f\) as a geometric series and use its convergence condition to explain the contrast between parts a) and b).

Hints
- Compare the vertical separation between each partial-sum curve and \(f\) in the two graph panels before calculating.
- Rewrite the denominator so the geometric-series ratio is visible.
- The convergence condition belongs to the series representation, not to the domain of the original rational function.
- Check whether each test input lies inside or outside the geometric-series condition.
Solution
1. At \(x=0.5\),
\(f(0.5)=\frac45=0.8\),
\(P_2(0.5)=0.75\),
\(P_6(0.5)=0.796875\), and
\(P_{10}(0.5)=0.7998046875\).
The values move closer to \(0.8\) as the degree increases.
2. At \(x=1.2\),
\(f(1.2)=\frac{25}{61}\approx0.409836\),
\(P_2(1.2)=-0.44\),
\(P_6(1.2)=-1.352384\), and
\(P_{10}(1.2)=-3.2443034624\).
Here the higher-degree partial sums move farther from \(f(1.2)\), so increasing the degree does not improve the approximation.
3. Since
\(\frac{1}{1+x^2}=\frac{1}{1-(-x^2)}\),
the geometric-series formula gives
\(\frac{1}{1+x^2}=\sum_{n=0}^{\infty}(-1)^n x^{2n}\)
when \(|-x^2|<1\), which is equivalent to \(|x|<1\).
Thus \(x=0.5\) lies inside the convergence interval, while \(x=1.2\) lies outside it. The function itself still exists at \(1.2\), but this Maclaurin series does not represent it there.
Answer
a) \(0.8,\ 0.75,\ 0.796875,\ 0.7998046875\); the higher-degree partial sums improve the approximation.
b) \(f(1.2)\approx0.409836\), while \(P_2(1.2)=-0.44\), \(P_6(1.2)=-1.352384\), and \(P_{10}(1.2)=-3.2443034624\); increasing degree makes the approximation worse there.
c) \(\frac{1}{1+x^2}=\sum_{n=0}^{\infty}(-1)^n x^{2n}\) only for \(|x|<1\), explaining the different behavior at \(0.5\) and \(1.2\).