1. **State the problem:** We are given the degree 4 Taylor polynomial \(P_4(x) = 9 + \frac{1}{7}(x-2)^3 + 7(x-2)^4\) for a function \(f(x)\) centered at \(x=2\). We want to find an upper bound on the error \(|P_4(1.5) - f(1.5)|\) using the Lagrange error bound.
2. **Recall the Lagrange error bound formula:**
$$
|R_n(x)| = |f(x) - P_n(x)| \leq \frac{M}{(n+1)!} |x - a|^{n+1}
$$
where:
- \(n=4\) (degree of polynomial)
- \(a=2\) (center of expansion)
- \(M\) is an upper bound on \(|f^{(n+1)}(z)|\) for \(z\) between \(a\) and \(x\)
3. **Identify the 5th derivative bound \(M\):**
From the graph of \(f^{(5)}(x)\), the values between \(x=1.5\) and \(x=2\) range approximately from \(-3\) to about \(4\) (since the graph decreases steeply near 2 to about -3 and is above 4 near -0.8). The maximum absolute value in this interval is \(M = 4\).
4. **Calculate the error bound:**
- \(n+1 = 5\)
- \(|x - a| = |1.5 - 2| = 0.5\)
- \(5! = 120\)
So,
$$
|R_4(1.5)| \leq \frac{4}{120} (0.5)^5
$$
5. **Simplify the expression:**
$$
(0.5)^5 = 0.5 \times 0.5 \times 0.5 \times 0.5 \times 0.5 = 0.03125
$$
Therefore,
$$
|R_4(1.5)| \leq \frac{4}{120} \times 0.03125 = \frac{4 \times 0.03125}{120}
$$
6. **Cancel common factors:**
$$
\frac{4 \times 0.03125}{120} = \frac{\cancel{4} \times 0.03125}{\cancel{120} \times 30} = \frac{0.03125}{30}
$$
7. **Final calculation:**
$$
\frac{0.03125}{30} = 0.0010416667
$$
**Answer:** The upper bound on the error \(|P_4(1.5) - f(1.5)|\) is approximately \(0.00104\).
Lagrange Error 183976
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