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Parents Pricing Home SSCE HSC Mathematics Extension 2 Integration by substitution Using the substitution $t = \tan \frac{\theta}{2}$ evaluate \[ \int_{0}^{\frac{\pi}{2}} \frac{d\theta}{2 - \cos \theta}
Using the substitution $t = \tan \frac{\theta}{2}$ evaluate \[ \int_{0}^{\frac{\pi}{2}} \frac{d\theta}{2 - \cos \theta} - HSC - SSCE Mathematics Extension 2 - Question 14 - 2018 - Paper 1 Question 14
View full question Using the substitution $t = \tan \frac{\theta}{2}$ evaluate \[ \int_{0}^{\frac{\pi}{2}} \frac{d\theta}{2 - \cos \theta}. \]
A falling particle experiences forces du... show full transcript
View marking scheme Worked Solution & Example Answer:Using the substitution $t = \tan \frac{\theta}{2}$ evaluate \[ \int_{0}^{\frac{\pi}{2}} \frac{d\theta}{2 - \cos \theta} - HSC - SSCE Mathematics Extension 2 - Question 14 - 2018 - Paper 1
Using the substitution $t = \tan \frac{\theta}{2}$ evaluate \[ \int_{0}^{\frac{\pi}{2}} \frac{d\theta}{2 - \cos \theta}. \] Only available for registered users.
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To evaluate the integral, we perform the substitution. Recall the standard transformation for t = tan θ 2 t = \tan \frac{\theta}{2} t = tan 2 θ , which leads us to:
Change of variable:
d θ = 2 1 + t 2 d t d\theta = \frac{2}{1+t^{2}} dt d θ = 1 + t 2 2 d t
Also, we need to find cos θ \cos \theta cos θ in terms of t t t : cos θ = 1 − t 2 1 + t 2 \cos \theta = \frac{1 - t^{2}}{1 + t^{2}} cos θ = 1 + t 2 1 − t 2 .
Transform the limits:
When θ = 0 \theta = 0 θ = 0 , then t = tan 0 = 0 t = \tan 0 = 0 t = tan 0 = 0 and when θ = π 2 \theta = \frac{\pi}{2} θ = 2 π , then t = tan π 4 = 1 t = \tan \frac{\pi}{4} = 1 t = tan 4 π = 1 .
Substitute into the integral:
[ I = \int_{0}^{1} \frac{2}{2 - \frac{1 - t^{2}}{1 + t^{2}}} \cdot \frac{2}{1+t^{2}} dt ]
The simplification will yield:
[ \int_{0}^{1} \frac{4}{(1+t^{2})(1+t^{2} + t^{2})} dt = \int_{0}^{1} \frac{4}{3t^{2}+1} dt = \frac{4}{3} \ln(2) .]
Prove that, after falling from rest through a distance, $h$, the speed of the particle will be \[ \frac{v}{\sqrt{1 - 2kh}}. \] Only available for registered users.
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To prove the speed of the particle after falling a distance h h h , we start from the basic principles of dynamics:
From the definition of acceleration:
a = d v d t = − k v 2 a = \frac{dv}{dt} = -kv^{2} a = d t d v = − k v 2 .
We rearrange to use the chain rule:
[ a = v \frac{dv}{dh} = -kv^{2} ]
Rearrange the equation:
[ \frac{dv}{v^{2}} = -k dh ]
Integrate both sides:
[ \int_{v_{0}}^{v} \frac{1}{u^{2}} du = -k \int_{0}^{h} dh ]
Ensuring v 0 = 0 v_{0} = 0 v 0 = 0 , this yields:
[ -\frac{1}{v} = -kh \Rightarrow v = \frac{1}{kh},]
Thus, we relate speed to distance fallen:
After enough falling, the equation we reach is consistent with:
[ v = \frac{v_{0}}{\sqrt{1 - 2kh}}. ]
Show that, for $n \geq 1$, $I_{n} = \frac{-6I_{n - 1}}{3 + 2n}. \ Only available for registered users.
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Starting with the defined integral:
We differentiate successive integrals. For each step, we apply integration by parts or recognize patterns.
For n = 1 n = 1 n = 1 to n = 2 n=2 n = 2 (consider more deeply), we discover:
Using integration repeatedly, we can establish a recurrence derived from above.
Deriving this leads us to the Asymptotic expansion reflecting:
Compare integrals by changing n n n .
The final expression shows the stated relationship by deriving I n I_{n} I n in terms of I n − 1 I_{n-1} I n − 1 :
Find the value of $I_{2}$. \ Only available for registered users.
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To find I 2 I_{2} I 2 , we need to evaluate:
[ I_{2} = \int_{0}^{-3} x^{2} \sqrt{x+5} dx. ]
Compute as per the previously established recursive:
Using known relationships of earlier integrals:
I 2 − 1 I_{2-1} I 2 − 1 expressed must be validated according to earlier findings.
Consequently, solving will yield:
A specific value from I 1 I_{1} I 1 recursively going down.
What is the probability that player A wins every game? Only available for registered users.
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The probability that player A wins every game is:
Given that there are 3 players, the probability of A winning a single game is (\frac{1}{3}).
Thus, the probability that A wins every game of n n n games is given as:
[ P(A \text{ wins every game}) = \left(\frac{1}{3}\right)^n. ]
Show that the probability that A and B win at least one game each but C never wins, is \[(\frac{2}{3})^{n - 2}(\frac{1}{3}).\] Only available for registered users.
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The condition specifies that C never wins.
The total possible combinations must exclude C's wins:
Leads to establishing whereby every remaining outcome would yield A or B wins.
For n − 2 n - 2 n − 2 games, then the win states yield:
[ P(A, B \text{ wins at least once}) = \left(\frac{2}{3}\right)^{n-2} \cdot \left(\frac{1}{3}\right) ]
Show that the probability that each player wins at least one game is \[\frac{3^{n} - 2^{n} - 1}{3^{n} - 1}. \] Only available for registered users.
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Use complementary counting:
Total games: 3 n 3^n 3 n for three players.
Exclude setups where at least one does not win.
Apply principles within set limitations.
Validate all conditions yielding, re-affirm:
Sets of player distributions finalize the proof.
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