The triangle is such that , and angle radians. The triangle is such that , and angle radians.
- (i)
Given that is sufficiently small, show that for constants and to be determined.
Given that is sufficiently small, show that for constants and to be determined.
- (ii)
By using the above result and substituting , find an approximate value of , leaving your answer as a single fraction.
By using the above result and substituting , find an approximate value of , leaving your answer as a single fraction.
- (iii)
Without further calculations, state with a reason whether the approximate value obtained by the substitution would be a better estimate for .
Without further calculations, state with a reason whether the approximate value obtained by the substitution would be a better estimate for .
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Worked solution
5(i)
1. Apply the cosine rule to triangle $ABC$ to find an exact expression for $BC^2$.
2. Apply the small angle approximation for $\cos\theta$ to show the first required result.
Since is sufficiently small, we use the approximation .
3. Expand $(1 + 12\theta^2)^{\frac{1}{2}}$ using the standard binomial series expansion up to the $\theta^4$ term.
Using ,
4. Simplify the expansion to determine the constants $p$ and $q$.
Comparing this with the given form , we obtain:
5(ii)
1. Recall the polynomial approximation derived in part (i).
From part (i), expanding using the standard binomial series yields:
2. Substitute $\theta = \frac{1}{4}$ into the radical expression to relate it to $\sqrt{7}$.
3. Substitute $\theta = \frac{1}{4}$ into the polynomial approximation and equate to find $\sqrt{7}$.
Equating the two expressions:
5(iii)
1. State the conclusion and provide a valid mathematical reason referencing the size of theta.
Yes, it would be a better estimate. Since is closer to than , the values of the higher-order terms that were omitted from the expansion (such as , etc.) are much smaller. Thus, the truncation error is reduced and the polynomial approximation is more accurate.
Yes, because is closer to than , which makes the polynomial approximation more accurate.
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