Let \(I _ { n } = \int _ { 0 } ^ { 1 } \left( 1 + x ^ { 2 } \right) ^ { n } \mathrm {~d} x\). Show that, for all integers \(n\),
$$( 2 n + 1 ) I _ { n } = 2 n I _ { n - 1 } + 2 ^ { n }$$
Evaluate \(I _ { 0 }\) and hence find \(I _ { 3 }\).
Given that \(I _ { - 1 } = \frac { 1 } { 4 } \pi\), find \(I _ { - 3 }\).
Show mark scheme
Show mark scheme source
Question 11 (EITHER – reduction formula):
Part (proving reduction formula):
Answer Marks
Guidance
\(I_n = \left[x(1+x^2)^n\right]_0^1 - 2\int_0^1 nx^2(1+x^2)^{n-1}dx\) M1A1
\(= 2^n - 2n\int_0^1(1+x^2-1)(1+x^2)^{n-1}dx\) M1A1
\(\Rightarrow I_n = 2^n - 2nI_n + 2nI_{n-1}\)
\(\Rightarrow (2n+1)I_n = 2nI_{n-1} + 2^n\) (AG) A1
(5)
Part (finding \(I_3\)):
Answer Marks
Guidance
\(I_0 = \int_0^1 1\,dx = 1\) B1
\(3I_1 = 2\times1\times1 + 2 \Rightarrow I_1 = \frac{4}{3}\) M1
\(5I_2 = \frac{16}{3} + 4 \Rightarrow I_2 = \frac{28}{15}\) A1
\(7I_3 = \frac{56}{5} + 8 \Rightarrow I_3 = \frac{96}{35}\) (2.74) A1
(4)
Part (negative \(n\)):
Answer Marks
Guidance
\(2nI_{n-1} = (2n+1)I_n - 2^n\) M1
\(\Rightarrow 2I_{-2} = I_{-1} + \frac{1}{2}\) and \(4I_{-3} = 3I_{-2} + \frac{1}{4}\) A1A1
\(\Rightarrow I_{-3} = \frac{3}{8}I_{-1} + \frac{1}{4} = \frac{3}{32}\pi + \frac{1}{4}\) M1A1
(5)
Question 11 (OR – eigenvalues/matrices):
Part (eigenvalue proof):
Answer Marks
Guidance
\(\mathbf{Ae} = \lambda\mathbf{e}\) and \(\mathbf{Be} = \mu\mathbf{e}\) B1
Adding: \(\mathbf{Ae} + \mathbf{Be} = \lambda\mathbf{e} + \mu\mathbf{e} \Rightarrow (\mathbf{A}+\mathbf{B})\mathbf{e} = (\lambda+\mu)\mathbf{e}\) M1
\(\Rightarrow \lambda + \mu\) is an eigenvalue (since \(\mathbf{e} \neq \mathbf{0}\)) A1
(3)
Part (eigenvalues of \(\mathbf{A}\)):
Answer Marks
Guidance
\(\mathbf{A}\begin{pmatrix}1\\1\\1\end{pmatrix} = \begin{pmatrix}-1\\-1\\-1\end{pmatrix} \Rightarrow \lambda_1 = -1\) M1A1
\(\mathbf{A}\begin{pmatrix}1\\-1\\1\end{pmatrix} = \begin{pmatrix}1\\-1\\1\end{pmatrix} \Rightarrow \lambda^2 = 1\) A1
\(\mathbf{A}\begin{pmatrix}2\\0\\1\end{pmatrix} = \begin{pmatrix}6\\0\\3\end{pmatrix} \Rightarrow \lambda^3 = 3\) A1
(4)
Part (eigenvalues of \(\mathbf{M}\)):
Answer Marks
Guidance
Eigenvalues of \(\mathbf{M}\) are \(-8, -2, 2\) B1
(1)
Part (diagonalisation):
Answer Marks
Guidance
\(\mathbf{R} = \begin{pmatrix}1 & 1 & 2\\1 & -1 & 0\\1 & 1 & 1\end{pmatrix}\) B1
\(\mathbf{S} = \mathbf{R}^{-1}\) M1
Determinant \(= 2\), \(\mathbf{S} = \frac{1}{2}\begin{pmatrix}-1 & 1 & 2\\-1 & -1 & 2\\2 & 0 & -2\end{pmatrix}\) M1A1
\(\mathbf{D} = \begin{pmatrix}-32768 & 0 & 0\\0 & -32 & 0\\0 & 0 & 32\end{pmatrix}\) M1A1
(6)
Copy
# Question 11 (EITHER – reduction formula):
## Part (proving reduction formula):
| $I_n = \left[x(1+x^2)^n\right]_0^1 - 2\int_0^1 nx^2(1+x^2)^{n-1}dx$ | M1A1 | |
|---|---|---|
| $= 2^n - 2n\int_0^1(1+x^2-1)(1+x^2)^{n-1}dx$ | M1A1 | |
| $\Rightarrow I_n = 2^n - 2nI_n + 2nI_{n-1}$ | | |
| $\Rightarrow (2n+1)I_n = 2nI_{n-1} + 2^n$ (AG) | A1 | **(5)** |
## Part (finding $I_3$):
| $I_0 = \int_0^1 1\,dx = 1$ | B1 | |
|---|---|---|
| $3I_1 = 2\times1\times1 + 2 \Rightarrow I_1 = \frac{4}{3}$ | M1 | |
| $5I_2 = \frac{16}{3} + 4 \Rightarrow I_2 = \frac{28}{15}$ | A1 | |
| $7I_3 = \frac{56}{5} + 8 \Rightarrow I_3 = \frac{96}{35}$ (2.74) | A1 | **(4)** |
## Part (negative $n$):
| $2nI_{n-1} = (2n+1)I_n - 2^n$ | M1 | |
|---|---|---|
| $\Rightarrow 2I_{-2} = I_{-1} + \frac{1}{2}$ and $4I_{-3} = 3I_{-2} + \frac{1}{4}$ | A1A1 | |
| $\Rightarrow I_{-3} = \frac{3}{8}I_{-1} + \frac{1}{4} = \frac{3}{32}\pi + \frac{1}{4}$ | M1A1 | **(5)** |
---
# Question 11 (OR – eigenvalues/matrices):
## Part (eigenvalue proof):
| $\mathbf{Ae} = \lambda\mathbf{e}$ and $\mathbf{Be} = \mu\mathbf{e}$ | B1 | |
|---|---|---|
| Adding: $\mathbf{Ae} + \mathbf{Be} = \lambda\mathbf{e} + \mu\mathbf{e} \Rightarrow (\mathbf{A}+\mathbf{B})\mathbf{e} = (\lambda+\mu)\mathbf{e}$ | M1 | |
| $\Rightarrow \lambda + \mu$ is an eigenvalue (since $\mathbf{e} \neq \mathbf{0}$) | A1 | **(3)** |
## Part (eigenvalues of $\mathbf{A}$):
| $\mathbf{A}\begin{pmatrix}1\\1\\1\end{pmatrix} = \begin{pmatrix}-1\\-1\\-1\end{pmatrix} \Rightarrow \lambda_1 = -1$ | M1A1 | |
|---|---|---|
| $\mathbf{A}\begin{pmatrix}1\\-1\\1\end{pmatrix} = \begin{pmatrix}1\\-1\\1\end{pmatrix} \Rightarrow \lambda^2 = 1$ | A1 | |
| $\mathbf{A}\begin{pmatrix}2\\0\\1\end{pmatrix} = \begin{pmatrix}6\\0\\3\end{pmatrix} \Rightarrow \lambda^3 = 3$ | A1 | **(4)** |
## Part (eigenvalues of $\mathbf{M}$):
| Eigenvalues of $\mathbf{M}$ are $-8, -2, 2$ | B1 | **(1)** |
|---|---|---|
## Part (diagonalisation):
| $\mathbf{R} = \begin{pmatrix}1 & 1 & 2\\1 & -1 & 0\\1 & 1 & 1\end{pmatrix}$ | B1 | |
|---|---|---|
| $\mathbf{S} = \mathbf{R}^{-1}$ | M1 | |
| Determinant $= 2$, $\mathbf{S} = \frac{1}{2}\begin{pmatrix}-1 & 1 & 2\\-1 & -1 & 2\\2 & 0 & -2\end{pmatrix}$ | M1A1 | |
| $\mathbf{D} = \begin{pmatrix}-32768 & 0 & 0\\0 & -32 & 0\\0 & 0 & 32\end{pmatrix}$ | M1A1 | **(6)** |
Show LaTeX source
Copy
Let $I _ { n } = \int _ { 0 } ^ { 1 } \left( 1 + x ^ { 2 } \right) ^ { n } \mathrm {~d} x$. Show that, for all integers $n$,
$$( 2 n + 1 ) I _ { n } = 2 n I _ { n - 1 } + 2 ^ { n }$$
Evaluate $I _ { 0 }$ and hence find $I _ { 3 }$.
Given that $I _ { - 1 } = \frac { 1 } { 4 } \pi$, find $I _ { - 3 }$.
\hfill \mbox{\textit{CAIE FP1 2013 Q11 EITHER}}