Questions — OCR MEI FP3 (53 questions)

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OCR MEI FP3 2015 June Q3
3 Fig. 3 shows an ellipse with parametric equations \(x = a \cos \theta , y = b \sin \theta\), for \(0 \leqslant \theta \leqslant 2 \pi\), where \(0 < b \leqslant a\).
The curve meets the positive \(x\)-axis at A and the positive \(y\)-axis at B . \begin{figure}[h]
\includegraphics[alt={},max width=\textwidth]{0e032f23-0549-4adc-bfae-59333108fab5-4_668_1255_477_404} \captionsetup{labelformat=empty} \caption{Fig. 3}
\end{figure}
  1. Show that the radius of curvature at A is \(\frac { b ^ { 2 } } { a }\) and find the corresponding centre of curvature.
  2. Write down the radius of curvature and the centre of curvature at B .
  3. Find the relationship between \(a\) and \(b\) if the radius of curvature at B is equal to the radius of curvature at A . What does this mean geometrically?
  4. Show that the arc length from A to B can be expressed as $$b \int _ { 0 } ^ { \frac { \pi } { 2 } } \sqrt { 1 + \lambda ^ { 2 } \sin ^ { 2 } \theta } d \theta$$ where \(\lambda ^ { 2 }\) is to be determined in terms of \(a\) and \(b\).
    Evaluate this integral in the case \(a = b\) and comment on your answer.
  5. Find the cartesian equation of the evolute of the ellipse.
OCR MEI FP3 2015 June Q4
4 M is the set of all \(2 \times 2\) matrices \(\mathrm { m } ( a , b )\) where \(a\) and \(b\) are rational numbers and $$\mathrm { m } ( a , b ) = \left( \begin{array} { l l } a & b
0 & \frac { 1 } { a } \end{array} \right) , a \neq 0$$
  1. Show that under matrix multiplication M is a group. You may assume associativity of matrix multiplication.
  2. Determine whether the group is commutative. The set \(\mathrm { N } _ { k }\) consists of all \(2 \times 2\) matrices \(\mathrm { m } ( k , b )\) where \(k\) is a fixed positive integer and \(b\) can take any integer value.
  3. Prove that \(\mathrm { N } _ { k }\) is closed under matrix multiplication if and only if \(k = 1\). Now consider the set P consisting of the matrices \(\mathrm { m } ( 1,0 ) , \mathrm { m } ( 1,1 ) , \mathrm { m } ( 1,2 )\) and \(\mathrm { m } ( 1,3 )\). The elements of P are combined using matrix multiplication but with arithmetic carried out modulo 4 .
  4. Show that \(( \mathrm { m } ( 1,1 ) ) ^ { 2 } = \mathrm { m } ( 1,2 )\).
  5. Construct the group combination table for P . The group R consists of the set \(\{ e , a , b , c \}\) combined under the operation *. The identity element is \(e\), and elements \(a , b\) and \(c\) are such that $$a ^ { * } a = b ^ { * } b = c ^ { * } c \quad \text { and } \quad a ^ { * } c = c ^ { * } a = b$$
  6. Determine whether R is isomorphic to P . Option 5: Markov chains \section*{This question requires the use of a calculator with the ability to handle matrices.}
OCR MEI FP3 2015 June Q5
5 An inspector has three factories, A, B, C, to check. He spends each day in one of the factories. He chooses the factory to visit on a particular day according to the following rules.
  • If he is in A one day, then the next day he will never choose A but he is equally likely to choose B or C .
  • If he is in B one day, then the next day he is equally likely to choose \(\mathrm { A } , \mathrm { B }\) or C .
  • If he is in C one day, then the next day he will never choose A but he is equally likely to choose B or C .
    1. Write down the transition matrix, \(\mathbf { P }\).
    2. On Day 1 the inspector chooses A.
      (A) Find the probability that he will choose A on Day 4.
      (B) Find the probability that the factory he chooses on Day 7 is the same factory that he chose on Day 2.
    3. Find the equilibrium probabilities and explain what they mean.
The inspector is not satisfied with the number of times he visits A so he changes the rules as follows.
  • If he is in A one day, then the next day he will choose \(\mathrm { A } , \mathrm { B } , \mathrm { C }\), with probabilities \(0.8,0.1,0.1\), respectively.
  • If he is in B or C one day, then the probabilities for choosing the factory the next day remain as before.
  • Write down the new transition matrix, \(\mathbf { Q }\), and find the new equilibrium probabilities.
  • On a particular day, the inspector visits factory A. Find the expected number of consecutive further days on which he will visit factory A.
Still not satisfied, the inspector changes the rules as follows.
  • If he is in A one day, then the next day he will choose \(\mathrm { A } , \mathrm { B } , \mathrm { C }\), with probabilities \(1,0,0\), respectively.
  • If he is in B or C one day, then the probabilities for choosing the factory the next day remain as before.
The new transition matrix is \(\mathbf { R }\).
  • On Day 15 he visits C . Find the first subsequent day for which the probability that he visits B is less than 0.1.
  • Show that in this situation there is an absorbing state, explaining what this means. \section*{END OF QUESTION PAPER}
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