Exam : STEP2 | Year : 2001 | Questions : Q1—Q8 | Total marks per question : 20
All questions are pure mathematics. Solutions and examiner commentary are included below.
Q Topic Difficulty Key Techniques 1 二项式展开 Binomial Expansion Routine 二项式定理,级数截断,误差分析 2 取整函数与级数 Floor Function and Series Standard 取整函数,分段分析,几何级数求和,极限 3 立体几何 Solid Geometry Standard 向量点积,立体几何,不等式证明 4 三角方程 Trigonometric Equations Challenging 三角恒等式,因式分解,判别式分析 5 微积分 Calculus Standard 积分,驻点判断,曲线草图,指数函数 6 积分 Integration Challenging 多项式长除法,分部积分,换元积分 7 复数 Complex Numbers Challenging 复数几何表示,旋转,圆的方程求解 8 微分方程 Differential Equations Challenging 周期函数性质,分离变量法,指数衰减
Topic : 二项式展开 Binomial Expansion | Difficulty : Routine | Marks : 20
1 Use the binomial expansion to obtain a polynomial of degree 2 which is a good approximation to ( 1 − x ) \sqrt{(1 - x)} ( 1 − x ) when x x x is small.
(i) By taking x = 1 / 100 x = 1/100 x = 1/100 , show that ( 11 ) ≈ 79599 / 24000 \sqrt{(11)} \approx 79599/24000 ( 11 ) ≈ 79599/24000 , and estimate, correct to 1 significant figure, the error in this approximation. (You may assume that the error is given approximately by the first neglected term in the binomial expansion.)
(ii) Find a rational number which approximates ( 1111 ) \sqrt{(1111)} ( 1111 ) with an error of about 2 × 10 − 12 2 \times 10^{-12} 2 × 1 0 − 12 .
Model Solution
Binomial expansion. We expand ( 1 − x ) 1 / 2 (1 - x)^{1/2} ( 1 − x ) 1/2 using the generalised binomial theorem:
( 1 − x ) 1 / 2 = 1 + ( 1 / 2 1 ) ( − x ) + ( 1 / 2 2 ) ( − x ) 2 + ⋯ (1 - x)^{1/2} = 1 + \binom{1/2}{1}(-x) + \binom{1/2}{2}(-x)^2 + \cdots ( 1 − x ) 1/2 = 1 + ( 1 1/2 ) ( − x ) + ( 2 1/2 ) ( − x ) 2 + ⋯
Computing the binomial coefficients:
( 1 / 2 1 ) = 1 2 , ( 1 / 2 2 ) = 1 2 ⋅ ( − 1 2 ) 2 ! = − 1 8 \binom{1/2}{1} = \frac{1}{2}, \qquad \binom{1/2}{2} = \frac{\frac{1}{2} \cdot (-\frac{1}{2})}{2!} = -\frac{1}{8} ( 1 1/2 ) = 2 1 , ( 2 1/2 ) = 2 ! 2 1 ⋅ ( − 2 1 ) = − 8 1
So the degree 2 approximation is:
1 − x ≈ 1 − x 2 − x 2 8 (...) \sqrt{1 - x} \approx 1 - \frac{x}{2} - \frac{x^2}{8} \qquad \text{(...)} 1 − x ≈ 1 − 2 x − 8 x 2 (...)
Part (i)
We write 11 = 1 3 99 \sqrt{11} = \frac{1}{3}\sqrt{99} 11 = 3 1 99 . Since 99 = 100 ( 1 − 1 / 100 ) 99 = 100(1 - 1/100) 99 = 100 ( 1 − 1/100 ) :
99 = 10 1 − 1 100 \sqrt{99} = 10\sqrt{1 - \tfrac{1}{100}} 99 = 10 1 − 100 1
and so
11 = 10 3 1 − 1 100 . \sqrt{11} = \frac{10}{3}\sqrt{1 - \tfrac{1}{100}}. 11 = 3 10 1 − 100 1 .
Setting x = 1 / 100 x = 1/100 x = 1/100 in the approximation:
1 − 1 100 ≈ 1 − 1 200 − 1 80000 . \sqrt{1 - \tfrac{1}{100}} \approx 1 - \frac{1}{200} - \frac{1}{80000}. 1 − 100 1 ≈ 1 − 200 1 − 80000 1 .
Therefore:
11 ≈ 10 3 ( 1 − 1 200 − 1 80000 ) = 10 3 − 10 600 − 10 240000 . \sqrt{11} \approx \frac{10}{3}\left(1 - \frac{1}{200} - \frac{1}{80000}\right) = \frac{10}{3} - \frac{10}{600} - \frac{10}{240000}. 11 ≈ 3 10 ( 1 − 200 1 − 80000 1 ) = 3 10 − 600 10 − 240000 10 .
Simplifying each term with common denominator 240000 240000 240000 :
10 3 = 800000 240000 , 10 600 = 4000 240000 , 10 240000 = 10 240000 . \frac{10}{3} = \frac{800000}{240000}, \qquad \frac{10}{600} = \frac{4000}{240000}, \qquad \frac{10}{240000} = \frac{10}{240000}. 3 10 = 240000 800000 , 600 10 = 240000 4000 , 240000 10 = 240000 10 .
11 ≈ 800000 − 4000 − 10 240000 = 795990 240000 = 79599 24000 . \sqrt{11} \approx \frac{800000 - 4000 - 10}{240000} = \frac{795990}{240000} = \frac{79599}{24000}. 11 ≈ 240000 800000 − 4000 − 10 = 240000 795990 = 24000 79599 .
Error estimate. The first neglected term in the binomial expansion is the k = 3 k = 3 k = 3 term:
( 1 / 2 3 ) ( − x ) 3 = 1 2 ⋅ ( − 1 2 ) ⋅ ( − 3 2 ) 3 ! ( − x 3 ) = − x 3 16 . \binom{1/2}{3}(-x)^3 = \frac{\frac{1}{2} \cdot (-\frac{1}{2}) \cdot (-\frac{3}{2})}{3!}(-x^3) = -\frac{x^3}{16}. ( 3 1/2 ) ( − x ) 3 = 3 ! 2 1 ⋅ ( − 2 1 ) ⋅ ( − 2 3 ) ( − x 3 ) = − 16 x 3 .
With x = 1 / 100 x = 1/100 x = 1/100 :
∣ − 1 16 × 10 6 ∣ = 1 16 000 000 ≈ 6 × 10 − 8 . \left|-\frac{1}{16 \times 10^6}\right| = \frac{1}{16\,000\,000} \approx 6 \times 10^{-8}. − 16 × 1 0 6 1 = 16 000 000 1 ≈ 6 × 1 0 − 8 .
Multiplying by 10 / 3 10/3 10/3 (the factor relating 11 \sqrt{11} 11 to 1 − 1 / 100 \sqrt{1 - 1/100} 1 − 1/100 ):
Error ≈ 10 3 × 6 × 10 − 8 ≈ 2 × 10 − 7 . \text{Error} \approx \frac{10}{3} \times 6 \times 10^{-8} \approx 2 \times 10^{-7}. Error ≈ 3 10 × 6 × 1 0 − 8 ≈ 2 × 1 0 − 7 .
To 1 significant figure, the error is 2 × 10 − 7 \mathbf{2 \times 10^{-7}} 2 × 1 0 − 7 .
Part (ii)
We write 1111 = 1 3 9999 \sqrt{1111} = \frac{1}{3}\sqrt{9999} 1111 = 3 1 9999 . Since 9999 = 10000 ( 1 − 10 − 4 ) 9999 = 10000(1 - 10^{-4}) 9999 = 10000 ( 1 − 1 0 − 4 ) :
9999 = 100 1 − 10 − 4 , 1111 = 100 3 1 − 10 − 4 . \sqrt{9999} = 100\sqrt{1 - 10^{-4}}, \qquad \sqrt{1111} = \frac{100}{3}\sqrt{1 - 10^{-4}}. 9999 = 100 1 − 1 0 − 4 , 1111 = 3 100 1 − 1 0 − 4 .
Setting x = 10 − 4 x = 10^{-4} x = 1 0 − 4 in the degree 2 binomial approximation:
1 − 10 − 4 ≈ 1 − 10 − 4 2 − 10 − 8 8 . \sqrt{1 - 10^{-4}} \approx 1 - \frac{10^{-4}}{2} - \frac{10^{-8}}{8}. 1 − 1 0 − 4 ≈ 1 − 2 1 0 − 4 − 8 1 0 − 8 .
Therefore:
1111 ≈ 100 3 − 100 3 ⋅ 10 − 4 2 − 100 3 ⋅ 10 − 8 8 = 100 3 − 1 600 − 1 24 000 000 . \sqrt{1111} \approx \frac{100}{3} - \frac{100}{3} \cdot \frac{10^{-4}}{2} - \frac{100}{3} \cdot \frac{10^{-8}}{8} = \frac{100}{3} - \frac{1}{600} - \frac{1}{24\,000\,000}. 1111 ≈ 3 100 − 3 100 ⋅ 2 1 0 − 4 − 3 100 ⋅ 8 1 0 − 8 = 3 100 − 600 1 − 24 000 000 1 .
Combining over the common denominator 24 000 000 24\,000\,000 24 000 000 :
100 3 = 800 000 000 24 000 000 , 1 600 = 40 000 24 000 000 , 1 24 000 000 = 1 24 000 000 . \frac{100}{3} = \frac{800\,000\,000}{24\,000\,000}, \qquad \frac{1}{600} = \frac{40\,000}{24\,000\,000}, \qquad \frac{1}{24\,000\,000} = \frac{1}{24\,000\,000}. 3 100 = 24 000 000 800 000 000 , 600 1 = 24 000 000 40 000 , 24 000 000 1 = 24 000 000 1 .
1111 ≈ 800 000 000 − 40 000 − 1 24 000 000 = 799 959 999 24 000 000 . \sqrt{1111} \approx \frac{800\,000\,000 - 40\,000 - 1}{24\,000\,000} = \frac{799\,959\,999}{24\,000\,000}. 1111 ≈ 24 000 000 800 000 000 − 40 000 − 1 = 24 000 000 799 959 999 .
Error check. The first neglected (k = 3 k = 3 k = 3 ) term gives:
Error ≈ 100 3 × ( 10 − 4 ) 3 16 = 100 3 × 10 − 12 16 ≈ 2 × 10 − 12 . \text{Error} \approx \frac{100}{3} \times \frac{(10^{-4})^3}{16} = \frac{100}{3} \times \frac{10^{-12}}{16} \approx 2 \times 10^{-12}. Error ≈ 3 100 × 16 ( 1 0 − 4 ) 3 = 3 100 × 16 1 0 − 12 ≈ 2 × 1 0 − 12 .
This confirms the approximation 799 959 999 24 000 000 \dfrac{799\,959\,999}{24\,000\,000} 24 000 000 799 959 999 has an error of about 2 × 10 − 12 2 \times 10^{-12} 2 × 1 0 − 12 . ■ \blacksquare ■
Topic : 取整函数与级数 Floor Function and Series | Difficulty : Standard | Marks : 20
2 Sketch the graph of the function [ x / N ] [x/N] [ x / N ] , for 0 < x < 2 N 0 < x < 2N 0 < x < 2 N , where the notation [ y ] [y] [ y ] means the integer part of y y y . (Thus [ 2.9 ] = 2 [2.9] = 2 [ 2.9 ] = 2 , [ 4 ] = 4 [4] = 4 [ 4 ] = 4 .)
(i) Prove that
∑ k = 1 2 N ( − 1 ) [ k / N ] k = 2 N − N 2 . \sum_{k=1}^{2N} (-1)^{[k/N]}k = 2N - N^2. ∑ k = 1 2 N ( − 1 ) [ k / N ] k = 2 N − N 2 .
(ii) Let
S N = ∑ k = 1 2 N ( − 1 ) [ k / N ] 2 − k . S_N = \sum_{k=1}^{2N} (-1)^{[k/N]}2^{-k}. S N = ∑ k = 1 2 N ( − 1 ) [ k / N ] 2 − k .
Find S N S_N S N in terms of N N N and determine the limit of S N S_N S N as N → ∞ N \to \infty N → ∞ .
Model Solution
Graph of [ x / N ] [x/N] [ x / N ] . For 0 < x < 2 N 0 < x < 2N 0 < x < 2 N :
When 0 < x < N 0 < x < N 0 < x < N : 0 < x / N < 1 0 < x/N < 1 0 < x / N < 1 , so [ x / N ] = 0 [x/N] = 0 [ x / N ] = 0 .
When N ≤ x < 2 N N \le x < 2N N ≤ x < 2 N : 1 ≤ x / N < 2 1 \le x/N < 2 1 ≤ x / N < 2 , so [ x / N ] = 1 [x/N] = 1 [ x / N ] = 1 .
The graph is a step function: value 0 0 0 on ( 0 , N ) (0, N) ( 0 , N ) , jumping to value 1 1 1 on [ N , 2 N ) [N, 2N) [ N , 2 N ) .
Part (i)
We split the sum according to the value of [ k / N ] [k/N] [ k / N ] :
k = 1 , … , N − 1 k = 1, \ldots, N - 1 k = 1 , … , N − 1 : [ k / N ] = 0 [k/N] = 0 [ k / N ] = 0 , so ( − 1 ) [ k / N ] = + 1 (-1)^{[k/N]} = +1 ( − 1 ) [ k / N ] = + 1 .
k = N , … , 2 N − 1 k = N, \ldots, 2N - 1 k = N , … , 2 N − 1 : [ k / N ] = 1 [k/N] = 1 [ k / N ] = 1 , so ( − 1 ) [ k / N ] = − 1 (-1)^{[k/N]} = -1 ( − 1 ) [ k / N ] = − 1 .
k = 2 N k = 2N k = 2 N : [ k / N ] = 2 [k/N] = 2 [ k / N ] = 2 , so ( − 1 ) [ k / N ] = + 1 (-1)^{[k/N]} = +1 ( − 1 ) [ k / N ] = + 1 .
Therefore:
∑ k = 1 2 N ( − 1 ) [ k / N ] k = ∑ k = 1 N − 1 k − ∑ k = N 2 N − 1 k + 2 N . \sum_{k=1}^{2N} (-1)^{[k/N]}k = \sum_{k=1}^{N-1} k \;-\; \sum_{k=N}^{2N-1} k \;+\; 2N. k = 1 ∑ 2 N ( − 1 ) [ k / N ] k = k = 1 ∑ N − 1 k − k = N ∑ 2 N − 1 k + 2 N .
Using ∑ k = 1 m k = m ( m + 1 ) 2 \displaystyle\sum_{k=1}^{m} k = \frac{m(m+1)}{2} k = 1 ∑ m k = 2 m ( m + 1 ) :
∑ k = 1 N − 1 k = ( N − 1 ) N 2 = N 2 − N 2 . \sum_{k=1}^{N-1} k = \frac{(N-1)N}{2} = \frac{N^2 - N}{2}. k = 1 ∑ N − 1 k = 2 ( N − 1 ) N = 2 N 2 − N .
For the middle sum:
∑ k = N 2 N − 1 k = ∑ k = 1 2 N − 1 k − ∑ k = 1 N − 1 k = ( 2 N − 1 ) ( 2 N ) 2 − ( N − 1 ) N 2 = 2 N ( 2 N − 1 ) − N ( N − 1 ) 2 . \sum_{k=N}^{2N-1} k = \sum_{k=1}^{2N-1} k - \sum_{k=1}^{N-1} k = \frac{(2N-1)(2N)}{2} - \frac{(N-1)N}{2} = \frac{2N(2N-1) - N(N-1)}{2}. k = N ∑ 2 N − 1 k = k = 1 ∑ 2 N − 1 k − k = 1 ∑ N − 1 k = 2 ( 2 N − 1 ) ( 2 N ) − 2 ( N − 1 ) N = 2 2 N ( 2 N − 1 ) − N ( N − 1 ) .
Expanding:
2 N ( 2 N − 1 ) = 4 N 2 − 2 N , N ( N − 1 ) = N 2 − N . 2N(2N-1) = 4N^2 - 2N, \qquad N(N-1) = N^2 - N. 2 N ( 2 N − 1 ) = 4 N 2 − 2 N , N ( N − 1 ) = N 2 − N .
∑ k = N 2 N − 1 k = 4 N 2 − 2 N − N 2 + N 2 = 3 N 2 − N 2 . \sum_{k=N}^{2N-1} k = \frac{4N^2 - 2N - N^2 + N}{2} = \frac{3N^2 - N}{2}. k = N ∑ 2 N − 1 k = 2 4 N 2 − 2 N − N 2 + N = 2 3 N 2 − N .
Substituting back:
∑ k = 1 2 N ( − 1 ) [ k / N ] k = N 2 − N 2 − 3 N 2 − N 2 + 2 N = N 2 − N − 3 N 2 + N 2 + 2 N \sum_{k=1}^{2N} (-1)^{[k/N]}k = \frac{N^2 - N}{2} - \frac{3N^2 - N}{2} + 2N = \frac{N^2 - N - 3N^2 + N}{2} + 2N k = 1 ∑ 2 N ( − 1 ) [ k / N ] k = 2 N 2 − N − 2 3 N 2 − N + 2 N = 2 N 2 − N − 3 N 2 + N + 2 N
= − 2 N 2 2 + 2 N = − N 2 + 2 N = 2 N − N 2 . ■ = \frac{-2N^2}{2} + 2N = -N^2 + 2N = 2N - N^2. \qquad \blacksquare = 2 − 2 N 2 + 2 N = − N 2 + 2 N = 2 N − N 2 . ■
Part (ii)
We split S N = ∑ k = 1 2 N ( − 1 ) [ k / N ] 2 − k S_N = \sum_{k=1}^{2N} (-1)^{[k/N]}2^{-k} S N = ∑ k = 1 2 N ( − 1 ) [ k / N ] 2 − k using the same three ranges:
S N = ∑ k = 1 N − 1 2 − k ⏟ positive − ∑ k = N 2 N − 1 2 − k ⏟ negative + 2 − 2 N . S_N = \underbrace{\sum_{k=1}^{N-1} 2^{-k}}_{\text{positive}} \;-\; \underbrace{\sum_{k=N}^{2N-1} 2^{-k}}_{\text{negative}} \;+\; 2^{-2N}. S N = positive k = 1 ∑ N − 1 2 − k − negative k = N ∑ 2 N − 1 2 − k + 2 − 2 N .
Positive sum. This is a geometric series with first term 1 / 2 1/2 1/2 , common ratio 1 / 2 1/2 1/2 , and N − 1 N - 1 N − 1 terms:
∑ k = 1 N − 1 2 − k = 1 2 ( 1 − ( 1 2 ) N − 1 ) 1 − 1 2 = 1 − 2 1 − N . \sum_{k=1}^{N-1} 2^{-k} = \frac{\frac{1}{2}(1 - (\frac{1}{2})^{N-1})}{1 - \frac{1}{2}} = 1 - 2^{1-N}. k = 1 ∑ N − 1 2 − k = 1 − 2 1 2 1 ( 1 − ( 2 1 ) N − 1 ) = 1 − 2 1 − N .
(When N = 1 N = 1 N = 1 this sum is empty and equals 0 0 0 , which the formula also gives since 2 0 = 1 2^{0} = 1 2 0 = 1 .)
Negative sum. This is a geometric series with first term 2 − N 2^{-N} 2 − N , common ratio 1 / 2 1/2 1/2 , and N N N terms:
∑ k = N 2 N − 1 2 − k = 2 − N ( 1 − 2 − N ) 1 − 1 2 = 2 ⋅ 2 − N ( 1 − 2 − N ) = 2 1 − N ( 1 − 2 − N ) . \sum_{k=N}^{2N-1} 2^{-k} = \frac{2^{-N}(1 - 2^{-N})}{1 - \frac{1}{2}} = 2 \cdot 2^{-N}(1 - 2^{-N}) = 2^{1-N}(1 - 2^{-N}). k = N ∑ 2 N − 1 2 − k = 1 − 2 1 2 − N ( 1 − 2 − N ) = 2 ⋅ 2 − N ( 1 − 2 − N ) = 2 1 − N ( 1 − 2 − N ) .
Combining. Let u = 2 − N u = 2^{-N} u = 2 − N . Then 2 1 − N = 2 u 2^{1-N} = 2u 2 1 − N = 2 u and 2 − 2 N = u 2 2^{-2N} = u^2 2 − 2 N = u 2 , so:
S N = ( 1 − 2 u ) − 2 u ( 1 − u ) + u 2 = 1 − 2 u − 2 u + 2 u 2 + u 2 = 1 − 4 u + 3 u 2 . S_N = (1 - 2u) - 2u(1 - u) + u^2 = 1 - 2u - 2u + 2u^2 + u^2 = 1 - 4u + 3u^2. S N = ( 1 − 2 u ) − 2 u ( 1 − u ) + u 2 = 1 − 2 u − 2 u + 2 u 2 + u 2 = 1 − 4 u + 3 u 2 .
Factorising:
S N = ( 1 − u ) ( 1 − 3 u ) = ( 1 − 2 − N ) ( 1 − 3 ⋅ 2 − N ) . S_N = (1 - u)(1 - 3u) = (1 - 2^{-N})(1 - 3 \cdot 2^{-N}). S N = ( 1 − u ) ( 1 − 3 u ) = ( 1 − 2 − N ) ( 1 − 3 ⋅ 2 − N ) .
Verification. For N = 1 N = 1 N = 1 : S 1 = ( 1 − 1 2 ) ( 1 − 3 2 ) = 1 2 ⋅ ( − 1 2 ) = − 1 4 S_1 = (1 - \frac{1}{2})(1 - \frac{3}{2}) = \frac{1}{2} \cdot (-\frac{1}{2}) = -\frac{1}{4} S 1 = ( 1 − 2 1 ) ( 1 − 2 3 ) = 2 1 ⋅ ( − 2 1 ) = − 4 1 .
Directly: ( − 1 ) 1 ⋅ 2 − 1 + ( − 1 ) 2 ⋅ 2 − 2 = − 1 2 + 1 4 = − 1 4 (-1)^1 \cdot 2^{-1} + (-1)^2 \cdot 2^{-2} = -\frac{1}{2} + \frac{1}{4} = -\frac{1}{4} ( − 1 ) 1 ⋅ 2 − 1 + ( − 1 ) 2 ⋅ 2 − 2 = − 2 1 + 4 1 = − 4 1 . Correct.
Limit. As N → ∞ N \to \infty N → ∞ , u = 2 − N → 0 u = 2^{-N} \to 0 u = 2 − N → 0 , so:
lim N → ∞ S N = ( 1 − 0 ) ( 1 − 0 ) = 1. \lim_{N \to \infty} S_N = (1 - 0)(1 - 0) = 1. N → ∞ lim S N = ( 1 − 0 ) ( 1 − 0 ) = 1.
■ \blacksquare ■
Topic : 立体几何 Solid Geometry | Difficulty : Standard | Marks : 20
3 The cuboid A B C D E F G H ABCDEFGH A B C D E F G H is such A E , B F , C G , D H AE, BF, CG, DH A E , B F , C G , D H are perpendicular to the opposite faces A B C D ABCD A B C D and E F G H EFGH E F G H , and A B = 2 , B C = 1 , A E = λ AB = 2, BC = 1, AE = \lambda A B = 2 , B C = 1 , A E = λ . Show that if α \alpha α is the acute angle between the diagonals A G AG A G and B H BH B H then
cos α = ∣ 3 − λ 2 5 + λ 2 ∣ \cos \alpha = \left| \frac{3 - \lambda^2}{5 + \lambda^2} \right| cos α = 5 + λ 2 3 − λ 2
Let R R R be the ratio of the volume of the cuboid to its surface area. Show that R < 1 / 3 R < 1/3 R < 1/3 for all possible values of λ \lambda λ .
Prove that, if R ⩾ 1 / 4 R \geqslant 1/4 R ⩾ 1/4 , then α ⩽ arccos ( 1 / 9 ) \alpha \leqslant \arccos(1/9) α ⩽ arccos ( 1/9 ) .
Model Solution
Part (i): Finding cos α \cos\alpha cos α
Set up coordinates with A A A at the origin. Let A B ⃗ \vec{AB} A B point along the x x x -axis, A D ⃗ \vec{AD} A D along the y y y -axis, and A E ⃗ \vec{AE} A E along the z z z -axis. Then:
A = ( 0 , 0 , 0 ) , B = ( 2 , 0 , 0 ) , C = ( 2 , 1 , 0 ) , D = ( 0 , 1 , 0 ) A = (0,0,0),\quad B = (2,0,0),\quad C = (2,1,0),\quad D = (0,1,0) A = ( 0 , 0 , 0 ) , B = ( 2 , 0 , 0 ) , C = ( 2 , 1 , 0 ) , D = ( 0 , 1 , 0 )
E = ( 0 , 0 , λ ) , F = ( 2 , 0 , λ ) , G = ( 2 , 1 , λ ) , H = ( 0 , 1 , λ ) E = (0,0,\lambda),\quad F = (2,0,\lambda),\quad G = (2,1,\lambda),\quad H = (0,1,\lambda) E = ( 0 , 0 , λ ) , F = ( 2 , 0 , λ ) , G = ( 2 , 1 , λ ) , H = ( 0 , 1 , λ )
The two diagonals are:
A G ⃗ = ( 2 , 1 , λ ) , B H ⃗ = ( − 2 , 1 , λ ) \vec{AG} = (2,\, 1,\, \lambda), \qquad \vec{BH} = (-2,\, 1,\, \lambda) A G = ( 2 , 1 , λ ) , B H = ( − 2 , 1 , λ )
The dot product is:
A G ⃗ ⋅ B H ⃗ = ( 2 ) ( − 2 ) + ( 1 ) ( 1 ) + ( λ ) ( λ ) = − 4 + 1 + λ 2 = λ 2 − 3 \vec{AG} \cdot \vec{BH} = (2)(-2) + (1)(1) + (\lambda)(\lambda) = -4 + 1 + \lambda^2 = \lambda^2 - 3 A G ⋅ B H = ( 2 ) ( − 2 ) + ( 1 ) ( 1 ) + ( λ ) ( λ ) = − 4 + 1 + λ 2 = λ 2 − 3
The magnitudes are:
∣ A G ⃗ ∣ = 4 + 1 + λ 2 = 5 + λ 2 , ∣ B H ⃗ ∣ = 4 + 1 + λ 2 = 5 + λ 2 |\vec{AG}| = \sqrt{4 + 1 + \lambda^2} = \sqrt{5 + \lambda^2}, \qquad |\vec{BH}| = \sqrt{4 + 1 + \lambda^2} = \sqrt{5 + \lambda^2} ∣ A G ∣ = 4 + 1 + λ 2 = 5 + λ 2 , ∣ B H ∣ = 4 + 1 + λ 2 = 5 + λ 2
The angle θ \theta θ between the two vectors satisfies:
cos θ = A G ⃗ ⋅ B H ⃗ ∣ A G ⃗ ∣ ∣ B H ⃗ ∣ = λ 2 − 3 5 + λ 2 \cos\theta = \frac{\vec{AG} \cdot \vec{BH}}{|\vec{AG}||\vec{BH}|} = \frac{\lambda^2 - 3}{5 + \lambda^2} cos θ = ∣ A G ∣∣ B H ∣ A G ⋅ B H = 5 + λ 2 λ 2 − 3
Since α \alpha α is the acute angle between the diagonals, we require cos α ≥ 0 \cos\alpha \geq 0 cos α ≥ 0 , so:
cos α = ∣ λ 2 − 3 5 + λ 2 ∣ = ∣ 3 − λ 2 5 + λ 2 ∣ ■ \cos\alpha = \left| \frac{\lambda^2 - 3}{5 + \lambda^2} \right| = \left| \frac{3 - \lambda^2}{5 + \lambda^2} \right| \qquad \blacksquare cos α = 5 + λ 2 λ 2 − 3 = 5 + λ 2 3 − λ 2 ■
Part (ii): Showing R < 1 / 3 R < 1/3 R < 1/3
The volume is:
V = A B × B C × A E = 2 × 1 × λ = 2 λ V = AB \times BC \times AE = 2 \times 1 \times \lambda = 2\lambda V = A B × B C × A E = 2 × 1 × λ = 2 λ
The surface area is:
S = 2 ( A B ⋅ B C ) + 2 ( B C ⋅ A E ) + 2 ( A B ⋅ A E ) = 2 ( 2 ) + 2 ( λ ) + 2 ( 2 λ ) = 4 + 6 λ S = 2(AB \cdot BC) + 2(BC \cdot AE) + 2(AB \cdot AE) = 2(2) + 2(\lambda) + 2(2\lambda) = 4 + 6\lambda S = 2 ( A B ⋅ B C ) + 2 ( B C ⋅ A E ) + 2 ( A B ⋅ A E ) = 2 ( 2 ) + 2 ( λ ) + 2 ( 2 λ ) = 4 + 6 λ
The ratio is:
R = V S = 2 λ 4 + 6 λ = λ 2 + 3 λ R = \frac{V}{S} = \frac{2\lambda}{4 + 6\lambda} = \frac{\lambda}{2 + 3\lambda} R = S V = 4 + 6 λ 2 λ = 2 + 3 λ λ
We show R < 1 / 3 R < 1/3 R < 1/3 , i.e. λ 2 + 3 λ < 1 3 \dfrac{\lambda}{2 + 3\lambda} < \dfrac{1}{3} 2 + 3 λ λ < 3 1 .
Since λ > 0 \lambda > 0 λ > 0 , the denominator 2 + 3 λ > 0 2 + 3\lambda > 0 2 + 3 λ > 0 , so cross-multiplying:
3 λ < 2 + 3 λ ⟹ 0 < 2 3\lambda < 2 + 3\lambda \implies 0 < 2 3 λ < 2 + 3 λ ⟹ 0 < 2
This holds for all λ > 0 \lambda > 0 λ > 0 , so R < 1 / 3 R < 1/3 R < 1/3 for all possible values of λ \lambda λ . ■ \qquad \blacksquare ■
Part (iii): If R ≥ 1 / 4 R \geq 1/4 R ≥ 1/4 then α ≤ arccos ( 1 / 9 ) \alpha \leq \arccos(1/9) α ≤ arccos ( 1/9 )
First, find the constraint on λ \lambda λ from R ≥ 1 / 4 R \geq 1/4 R ≥ 1/4 :
λ 2 + 3 λ ≥ 1 4 \frac{\lambda}{2 + 3\lambda} \geq \frac{1}{4} 2 + 3 λ λ ≥ 4 1
Since 2 + 3 λ > 0 2 + 3\lambda > 0 2 + 3 λ > 0 :
4 λ ≥ 2 + 3 λ ⟹ λ ≥ 2 4\lambda \geq 2 + 3\lambda \implies \lambda \geq 2 4 λ ≥ 2 + 3 λ ⟹ λ ≥ 2
Now, α ≤ arccos ( 1 / 9 ) \alpha \leq \arccos(1/9) α ≤ arccos ( 1/9 ) is equivalent to cos α ≥ 1 / 9 \cos\alpha \geq 1/9 cos α ≥ 1/9 (since arccos \arccos arccos is a decreasing function and α \alpha α is acute so cos α ≥ 0 \cos\alpha \geq 0 cos α ≥ 0 ).
When λ ≥ 2 \lambda \geq 2 λ ≥ 2 : λ 2 ≥ 4 > 3 \lambda^2 \geq 4 > 3 λ 2 ≥ 4 > 3 , so 3 − λ 2 < 0 3 - \lambda^2 < 0 3 − λ 2 < 0 and
cos α = λ 2 − 3 5 + λ 2 \cos\alpha = \frac{\lambda^2 - 3}{5 + \lambda^2} cos α = 5 + λ 2 λ 2 − 3
We show λ 2 − 3 5 + λ 2 ≥ 1 9 \dfrac{\lambda^2 - 3}{5 + \lambda^2} \geq \dfrac{1}{9} 5 + λ 2 λ 2 − 3 ≥ 9 1 . Since 5 + λ 2 > 0 5 + \lambda^2 > 0 5 + λ 2 > 0 :
9 ( λ 2 − 3 ) ≥ 5 + λ 2 9(\lambda^2 - 3) \geq 5 + \lambda^2 9 ( λ 2 − 3 ) ≥ 5 + λ 2
9 λ 2 − 27 ≥ 5 + λ 2 9\lambda^2 - 27 \geq 5 + \lambda^2 9 λ 2 − 27 ≥ 5 + λ 2
8 λ 2 ≥ 32 8\lambda^2 \geq 32 8 λ 2 ≥ 32
λ 2 ≥ 4 \lambda^2 \geq 4 λ 2 ≥ 4
λ ≥ 2 ( since λ > 0 ) \lambda \geq 2 \quad (\text{since } \lambda > 0) λ ≥ 2 ( since λ > 0 )
This is precisely the condition from R ≥ 1 / 4 R \geq 1/4 R ≥ 1/4 . Therefore, if R ≥ 1 / 4 R \geq 1/4 R ≥ 1/4 then λ ≥ 2 \lambda \geq 2 λ ≥ 2 , which gives cos α ≥ 1 / 9 \cos\alpha \geq 1/9 cos α ≥ 1/9 , i.e. α ≤ arccos ( 1 / 9 ) \alpha \leq \arccos(1/9) α ≤ arccos ( 1/9 ) . ■ \qquad \blacksquare ■
Topic : 三角方程 Trigonometric Equations | Difficulty : Challenging | Marks : 20
4 Let
f ( x ) = P sin x + Q sin 2 x + R sin 3 x . f(x) = P \sin x + Q \sin 2x + R \sin 3x . f ( x ) = P sin x + Q sin 2 x + R sin 3 x .
Show that if Q 2 < 4 R ( P − R ) Q^2 < 4R(P - R) Q 2 < 4 R ( P − R ) , then the only values of x x x for which f ( x ) = 0 f(x) = 0 f ( x ) = 0 are given by x = m π x = m\pi x = mπ , where m m m is an integer.
[You may assume that sin 3 x = sin x ( 4 cos 2 x − 1 ) \sin 3x = \sin x(4 \cos^2 x - 1) sin 3 x = sin x ( 4 cos 2 x − 1 ) .]
Now let
g ( x ) = sin 2 n x + sin 4 n x − sin 6 n x , g(x) = \sin 2nx + \sin 4nx - \sin 6nx, g ( x ) = sin 2 n x + sin 4 n x − sin 6 n x ,
where n n n is a positive integer and 0 < x < π / 2 0 < x < \pi/2 0 < x < π /2 . Find an expression for the largest root of the equation g ( x ) = 0 g(x) = 0 g ( x ) = 0 , distinguishing between the cases where n n n is even and n n n is odd.
Model Solution
Part (i): Showing that Q 2 < 4 R ( P − R ) Q^2 < 4R(P-R) Q 2 < 4 R ( P − R ) implies f ( x ) = 0 f(x) = 0 f ( x ) = 0 only when x = m π x = m\pi x = mπ
We are given:
f ( x ) = P sin x + Q sin 2 x + R sin 3 x f(x) = P\sin x + Q\sin 2x + R\sin 3x f ( x ) = P sin x + Q sin 2 x + R sin 3 x
and the identity sin 3 x = sin x ( 4 cos 2 x − 1 ) \sin 3x = \sin x(4\cos^2 x - 1) sin 3 x = sin x ( 4 cos 2 x − 1 ) .
We also need sin 2 x = 2 sin x cos x \sin 2x = 2\sin x\cos x sin 2 x = 2 sin x cos x . Factor out sin x \sin x sin x :
f ( x ) = sin x [ P + 2 Q cos x + R ( 4 cos 2 x − 1 ) ] f(x) = \sin x \bigl[P + 2Q\cos x + R(4\cos^2 x - 1)\bigr] f ( x ) = sin x [ P + 2 Q cos x + R ( 4 cos 2 x − 1 ) ]
= sin x [ 4 R cos 2 x + 2 Q cos x + ( P − R ) ] = \sin x \bigl[4R\cos^2 x + 2Q\cos x + (P - R)\bigr] = sin x [ 4 R cos 2 x + 2 Q cos x + ( P − R ) ]
So f ( x ) = 0 f(x) = 0 f ( x ) = 0 when either:
sin x = 0 \sin x = 0 sin x = 0 , which gives x = m π x = m\pi x = mπ for integer m m m ; or
4 R cos 2 x + 2 Q cos x + ( P − R ) = 0 4R\cos^2 x + 2Q\cos x + (P - R) = 0 4 R cos 2 x + 2 Q cos x + ( P − R ) = 0 .
Let t = cos x t = \cos x t = cos x . The second equation becomes the quadratic:
4 R t 2 + 2 Q t + ( P − R ) = 0 4Rt^2 + 2Qt + (P - R) = 0 4 R t 2 + 2 Qt + ( P − R ) = 0
We compute the discriminant:
Δ = ( 2 Q ) 2 − 4 ( 4 R ) ( P − R ) = 4 Q 2 − 16 R ( P − R ) = 4 [ Q 2 − 4 R ( P − R ) ] \Delta = (2Q)^2 - 4(4R)(P - R) = 4Q^2 - 16R(P - R) = 4\bigl[Q^2 - 4R(P - R)\bigr] Δ = ( 2 Q ) 2 − 4 ( 4 R ) ( P − R ) = 4 Q 2 − 16 R ( P − R ) = 4 [ Q 2 − 4 R ( P − R ) ]
The condition Q 2 < 4 R ( P − R ) Q^2 < 4R(P - R) Q 2 < 4 R ( P − R ) is equivalent to Δ < 0 \Delta < 0 Δ < 0 .
When Δ < 0 \Delta < 0 Δ < 0 , the quadratic 4 R t 2 + 2 Q t + ( P − R ) = 0 4Rt^2 + 2Qt + (P - R) = 0 4 R t 2 + 2 Qt + ( P − R ) = 0 has no real roots in t t t , and hence there is no real value of cos x \cos x cos x satisfying it. (Note: we also need 4 R > 0 4R > 0 4 R > 0 , i.e. R > 0 R > 0 R > 0 , for the quadratic to open upward and be strictly positive everywhere when Δ < 0 \Delta < 0 Δ < 0 . If R > 0 R > 0 R > 0 and Δ < 0 \Delta < 0 Δ < 0 , the quadratic is always positive, so it is never zero.)
Therefore, when Q 2 < 4 R ( P − R ) Q^2 < 4R(P - R) Q 2 < 4 R ( P − R ) (and R > 0 R > 0 R > 0 ), the only solutions come from sin x = 0 \sin x = 0 sin x = 0 , giving x = m π x = m\pi x = mπ for integer m m m . ■ \qquad \blacksquare ■
Part (ii): Largest root of g ( x ) = 0 g(x) = 0 g ( x ) = 0 for 0 < x < π / 2 0 < x < \pi/2 0 < x < π /2
We have:
g ( x ) = sin 2 n x + sin 4 n x − sin 6 n x g(x) = \sin 2nx + \sin 4nx - \sin 6nx g ( x ) = sin 2 n x + sin 4 n x − sin 6 n x
Using the sum-to-product formula sin A + sin B = 2 sin ( A + B 2 ) cos ( A − B 2 ) \sin A + \sin B = 2\sin\!\left(\frac{A+B}{2}\right)\cos\!\left(\frac{A-B}{2}\right) sin A + sin B = 2 sin ( 2 A + B ) cos ( 2 A − B ) on the first two terms:
sin 2 n x + sin 4 n x = 2 sin 3 n x cos n x \sin 2nx + \sin 4nx = 2\sin 3nx \cos nx sin 2 n x + sin 4 n x = 2 sin 3 n x cos n x
Also, by the double angle formula:
sin 6 n x = 2 sin 3 n x cos 3 n x \sin 6nx = 2\sin 3nx \cos 3nx sin 6 n x = 2 sin 3 n x cos 3 n x
So:
g ( x ) = 2 sin 3 n x cos n x − 2 sin 3 n x cos 3 n x = 2 sin 3 n x ( cos n x − cos 3 n x ) g(x) = 2\sin 3nx \cos nx - 2\sin 3nx \cos 3nx = 2\sin 3nx(\cos nx - \cos 3nx) g ( x ) = 2 sin 3 n x cos n x − 2 sin 3 n x cos 3 n x = 2 sin 3 n x ( cos n x − cos 3 n x )
Now apply the identity cos A − cos B = − 2 sin ( A + B 2 ) sin ( A − B 2 ) \cos A - \cos B = -2\sin\!\left(\frac{A+B}{2}\right)\sin\!\left(\frac{A-B}{2}\right) cos A − cos B = − 2 sin ( 2 A + B ) sin ( 2 A − B ) :
cos n x − cos 3 n x = − 2 sin 2 n x sin ( − n x ) = 2 sin 2 n x sin n x \cos nx - \cos 3nx = -2\sin 2nx \sin(-nx) = 2\sin 2nx \sin nx cos n x − cos 3 n x = − 2 sin 2 n x sin ( − n x ) = 2 sin 2 n x sin n x
Therefore:
g ( x ) = 2 sin 3 n x ⋅ 2 sin 2 n x sin n x = 4 sin n x sin 2 n x sin 3 n x g(x) = 2\sin 3nx \cdot 2\sin 2nx \sin nx = 4\sin nx \sin 2nx \sin 3nx g ( x ) = 2 sin 3 n x ⋅ 2 sin 2 n x sin n x = 4 sin n x sin 2 n x sin 3 n x
So g ( x ) = 0 g(x) = 0 g ( x ) = 0 when sin n x = 0 \sin nx = 0 sin n x = 0 , sin 2 n x = 0 \sin 2nx = 0 sin 2 n x = 0 , or sin 3 n x = 0 \sin 3nx = 0 sin 3 n x = 0 .
For 0 < x < π / 2 0 < x < \pi/2 0 < x < π /2 :
sin n x = 0 ⟹ n x = k π ⟹ x = k π n \sin nx = 0 \implies nx = k\pi \implies x = \dfrac{k\pi}{n} sin n x = 0 ⟹ n x = k π ⟹ x = n k π , for k = 1 , 2 , … , n − 1 k = 1, 2, \ldots, n-1 k = 1 , 2 , … , n − 1 (since 0 < k π / n < π / 2 0 < k\pi/n < \pi/2 0 < k π / n < π /2 requires k < n / 2 k < n/2 k < n /2 , i.e. k = 1 , … , ⌊ ( n − 1 ) / 2 ⌋ k = 1, \ldots, \lfloor(n-1)/2\rfloor k = 1 , … , ⌊( n − 1 ) /2 ⌋ ).
sin 2 n x = 0 ⟹ 2 n x = k π ⟹ x = k π 2 n \sin 2nx = 0 \implies 2nx = k\pi \implies x = \dfrac{k\pi}{2n} sin 2 n x = 0 ⟹ 2 n x = k π ⟹ x = 2 n k π , for k = 1 , … , n − 1 k = 1, \ldots, n-1 k = 1 , … , n − 1 .
sin 3 n x = 0 ⟹ 3 n x = k π ⟹ x = k π 3 n \sin 3nx = 0 \implies 3nx = k\pi \implies x = \dfrac{k\pi}{3n} sin 3 n x = 0 ⟹ 3 n x = k π ⟹ x = 3 n k π , for k = 1 , … , ⌊ ( 3 n − 1 ) / 2 ⌋ k = 1, \ldots, \lfloor(3n-1)/2\rfloor k = 1 , … , ⌊( 3 n − 1 ) /2 ⌋ .
The roots from sin n x = 0 \sin nx = 0 sin n x = 0 are a subset of the roots from sin 2 n x = 0 \sin 2nx = 0 sin 2 n x = 0 (since k π / n = 2 k π / 2 n k\pi/n = 2k\pi/2n k π / n = 2 k π /2 n ), which are in turn a subset of the roots from sin 3 n x = 0 \sin 3nx = 0 sin 3 n x = 0 (since k π / 2 n = 3 k π / 6 n k\pi/2n = 3k\pi/6n k π /2 n = 3 k π /6 n ). So the complete set of roots is:
x = k π 3 n , k = 1 , 2 , … , ⌊ 3 n − 1 2 ⌋ x = \frac{k\pi}{3n}, \qquad k = 1, 2, \ldots, \left\lfloor \frac{3n-1}{2} \right\rfloor x = 3 n k π , k = 1 , 2 , … , ⌊ 2 3 n − 1 ⌋
(The condition x < π / 2 x < \pi/2 x < π /2 gives k π / 3 n < π / 2 k\pi/3n < \pi/2 k π /3 n < π /2 , so k < 3 n / 2 k < 3n/2 k < 3 n /2 , i.e. k ≤ ⌊ ( 3 n − 1 ) / 2 ⌋ k \leq \lfloor(3n-1)/2\rfloor k ≤ ⌊( 3 n − 1 ) /2 ⌋ .)
The largest root corresponds to k = ⌊ ( 3 n − 1 ) / 2 ⌋ k = \lfloor(3n-1)/2\rfloor k = ⌊( 3 n − 1 ) /2 ⌋ .
Case 1: n n n is even. Write n = 2 m n = 2m n = 2 m . Then 3 n / 2 = 3 m 3n/2 = 3m 3 n /2 = 3 m is an integer, and k < 3 m k < 3m k < 3 m gives k max = 3 m − 1 = 3 n 2 − 1 = 3 n − 2 2 k_{\max} = 3m - 1 = \frac{3n}{2} - 1 = \frac{3n - 2}{2} k m a x = 3 m − 1 = 2 3 n − 1 = 2 3 n − 2 .
x max = ( 3 n − 2 ) π 2 ⋅ 3 n = ( 3 n − 2 ) π 6 n x_{\max} = \frac{(3n - 2)\pi}{2 \cdot 3n} = \frac{(3n-2)\pi}{6n} x m a x = 2 ⋅ 3 n ( 3 n − 2 ) π = 6 n ( 3 n − 2 ) π
Check: ⌊ ( 3 n − 1 ) / 2 ⌋ = ⌊ 3 m − 1 / 2 ⌋ = 3 m − 1 = ( 3 n − 2 ) / 2 \lfloor(3n-1)/2\rfloor = \lfloor 3m - 1/2\rfloor = 3m - 1 = (3n-2)/2 ⌊( 3 n − 1 ) /2 ⌋ = ⌊ 3 m − 1/2 ⌋ = 3 m − 1 = ( 3 n − 2 ) /2 . Correct.
Case 2: n n n is odd. Write n = 2 m + 1 n = 2m + 1 n = 2 m + 1 . Then 3 n / 2 = 3 m + 3 / 2 3n/2 = 3m + 3/2 3 n /2 = 3 m + 3/2 is not an integer, and k < 3 m + 3 / 2 k < 3m + 3/2 k < 3 m + 3/2 gives k max = 3 m + 1 = 3 ( n − 1 ) 2 + 1 = 3 n − 1 2 k_{\max} = 3m + 1 = \frac{3(n-1)}{2} + 1 = \frac{3n - 1}{2} k m a x = 3 m + 1 = 2 3 ( n − 1 ) + 1 = 2 3 n − 1 .
x max = ( 3 n − 1 ) π 2 ⋅ 3 n = ( 3 n − 1 ) π 6 n x_{\max} = \frac{(3n-1)\pi}{2 \cdot 3n} = \frac{(3n-1)\pi}{6n} x m a x = 2 ⋅ 3 n ( 3 n − 1 ) π = 6 n ( 3 n − 1 ) π
Check: ⌊ ( 3 n − 1 ) / 2 ⌋ = ⌊ 3 m + 1 ⌋ = 3 m + 1 = ( 3 n − 1 ) / 2 \lfloor(3n-1)/2\rfloor = \lfloor 3m + 1\rfloor = 3m + 1 = (3n-1)/2 ⌊( 3 n − 1 ) /2 ⌋ = ⌊ 3 m + 1 ⌋ = 3 m + 1 = ( 3 n − 1 ) /2 . Correct.
Summary. The largest root of g ( x ) = 0 g(x) = 0 g ( x ) = 0 in ( 0 , π / 2 ) (0, \pi/2) ( 0 , π /2 ) is:
x max = { ( 3 n − 1 ) π 6 n if n is odd ( 3 n − 2 ) π 6 n if n is even x_{\max} = \begin{cases} \dfrac{(3n-1)\pi}{6n} & \text{if } n \text{ is odd} \\[8pt] \dfrac{(3n-2)\pi}{6n} & \text{if } n \text{ is even} \end{cases} x m a x = ⎩ ⎨ ⎧ 6 n ( 3 n − 1 ) π 6 n ( 3 n − 2 ) π if n is odd if n is even
Topic : 微积分 Calculus | Difficulty : Standard | Marks : 20
5 The curve C 1 C_1 C 1 passes through the origin in the x x x –y y y plane and its gradient is given by
d y d x = x ( 1 − x 2 ) e − x 2 . \frac{dy}{dx} = x(1 - x^2)e^{-x^2}. d x d y = x ( 1 − x 2 ) e − x 2 .
Show that C 1 C_1 C 1 has a minimum point at the origin and a maximum point at ( 1 , 1 2 e − 1 ) (1, \frac{1}{2}e^{-1}) ( 1 , 2 1 e − 1 ) . Find the coordinates of the other stationary point. Give a rough sketch of C 1 C_1 C 1 .
The curve C 2 C_2 C 2 passes through the origin and its gradient is given by
d y d x = x ( 1 − x 2 ) e − x 3 . \frac{dy}{dx} = x(1 - x^2)e^{-x^3}. d x d y = x ( 1 − x 2 ) e − x 3 .
Show that C 2 C_2 C 2 has a minimum point at the origin and a maximum point at ( 1 , k ) (1, k) ( 1 , k ) , where k > 1 2 e − 1 k > \frac{1}{2}e^{-1} k > 2 1 e − 1 . (You need not find k k k .)
Model Solution
Finding y ( x ) y(x) y ( x ) for C 1 C_1 C 1 .
We integrate d y d x = x ( 1 − x 2 ) e − x 2 = ( x − x 3 ) e − x 2 \dfrac{dy}{dx} = x(1 - x^2)e^{-x^2} = (x - x^3)e^{-x^2} d x d y = x ( 1 − x 2 ) e − x 2 = ( x − x 3 ) e − x 2 .
For ∫ x e − x 2 d x \int x\,e^{-x^2}\,dx ∫ x e − x 2 d x : set u = x 2 u = x^2 u = x 2 , d u = 2 x d x du = 2x\,dx d u = 2 x d x , so
∫ x e − x 2 d x = 1 2 ∫ e − u d u = − 1 2 e − x 2 + C . \int x\,e^{-x^2}\,dx = \tfrac{1}{2}\int e^{-u}\,du = -\tfrac{1}{2}e^{-x^2} + C. ∫ x e − x 2 d x = 2 1 ∫ e − u d u = − 2 1 e − x 2 + C .
For ∫ x 3 e − x 2 d x \int x^3 e^{-x^2}\,dx ∫ x 3 e − x 2 d x : set u = x 2 u = x^2 u = x 2 , d u = 2 x d x du = 2x\,dx d u = 2 x d x , so
∫ x 3 e − x 2 d x = 1 2 ∫ u e − u d u . \int x^3 e^{-x^2}\,dx = \tfrac{1}{2}\int u\,e^{-u}\,du. ∫ x 3 e − x 2 d x = 2 1 ∫ u e − u d u .
Integrate by parts with a = u a = u a = u , d b = e − u d u db = e^{-u}\,du d b = e − u d u :
∫ u e − u d u = − u e − u + ∫ e − u d u = − u e − u − e − u = − ( u + 1 ) e − u . \int u\,e^{-u}\,du = -u\,e^{-u} + \int e^{-u}\,du = -u\,e^{-u} - e^{-u} = -(u+1)e^{-u}. ∫ u e − u d u = − u e − u + ∫ e − u d u = − u e − u − e − u = − ( u + 1 ) e − u .
So
∫ x 3 e − x 2 d x = − 1 2 ( x 2 + 1 ) e − x 2 + C . \int x^3 e^{-x^2}\,dx = -\tfrac{1}{2}(x^2 + 1)e^{-x^2} + C. ∫ x 3 e − x 2 d x = − 2 1 ( x 2 + 1 ) e − x 2 + C .
Combining:
y = − 1 2 e − x 2 + 1 2 ( x 2 + 1 ) e − x 2 + C = 1 2 x 2 e − x 2 + C . y = -\tfrac{1}{2}e^{-x^2} + \tfrac{1}{2}(x^2 + 1)e^{-x^2} + C = \tfrac{1}{2}x^2 e^{-x^2} + C. y = − 2 1 e − x 2 + 2 1 ( x 2 + 1 ) e − x 2 + C = 2 1 x 2 e − x 2 + C .
Since C 1 C_1 C 1 passes through the origin, y ( 0 ) = 0 y(0) = 0 y ( 0 ) = 0 , giving C = 0 C = 0 C = 0 . Therefore
y = 1 2 x 2 e − x 2 . y = \tfrac{1}{2}x^2 e^{-x^2}. y = 2 1 x 2 e − x 2 .
Stationary points. Setting d y d x = 0 \dfrac{dy}{dx} = 0 d x d y = 0 : since e − x 2 ≠ 0 e^{-x^2} \neq 0 e − x 2 = 0 , we need x ( 1 − x 2 ) = 0 x(1 - x^2) = 0 x ( 1 − x 2 ) = 0 , giving x = 0 , x = 1 , x = − 1 x = 0,\; x = 1,\; x = -1 x = 0 , x = 1 , x = − 1 .
At x = 0 x = 0 x = 0 : y = 0 y = 0 y = 0 , so the point is ( 0 , 0 ) (0, 0) ( 0 , 0 ) .
At x = 1 x = 1 x = 1 : y = 1 2 e − 1 y = \tfrac{1}{2}e^{-1} y = 2 1 e − 1 , so the point is ( 1 , 1 2 e − 1 ) (1, \tfrac{1}{2}e^{-1}) ( 1 , 2 1 e − 1 ) .
At x = − 1 x = -1 x = − 1 : y = 1 2 e − 1 y = \tfrac{1}{2}e^{-1} y = 2 1 e − 1 , so the point is ( − 1 , 1 2 e − 1 ) (-1, \tfrac{1}{2}e^{-1}) ( − 1 , 2 1 e − 1 ) .
Second derivative test. We differentiate the gradient:
d 2 y d x 2 = d d x [ ( x − x 3 ) e − x 2 ] = ( 1 − 3 x 2 ) e − x 2 + ( x − x 3 ) ( − 2 x ) e − x 2 \frac{d^2 y}{dx^2} = \frac{d}{dx}\bigl[(x - x^3)e^{-x^2}\bigr] = (1 - 3x^2)e^{-x^2} + (x - x^3)(-2x)e^{-x^2} d x 2 d 2 y = d x d [ ( x − x 3 ) e − x 2 ] = ( 1 − 3 x 2 ) e − x 2 + ( x − x 3 ) ( − 2 x ) e − x 2
= e − x 2 [ ( 1 − 3 x 2 ) − 2 x 2 ( 1 − x 2 ) ] = e − x 2 ( 1 − 5 x 2 + 2 x 4 ) . = e^{-x^2}\bigl[(1 - 3x^2) - 2x^2(1 - x^2)\bigr] = e^{-x^2}(1 - 5x^2 + 2x^4). = e − x 2 [ ( 1 − 3 x 2 ) − 2 x 2 ( 1 − x 2 ) ] = e − x 2 ( 1 − 5 x 2 + 2 x 4 ) .
At x = 0 x = 0 x = 0 : d 2 y d x 2 = 1 > 0 \dfrac{d^2y}{dx^2} = 1 > 0 d x 2 d 2 y = 1 > 0 , so ( 0 , 0 ) (0, 0) ( 0 , 0 ) is a minimum point .
At x = 1 x = 1 x = 1 : d 2 y d x 2 = e − 1 ( 1 − 5 + 2 ) = − 2 e − 1 < 0 \dfrac{d^2y}{dx^2} = e^{-1}(1 - 5 + 2) = -2e^{-1} < 0 d x 2 d 2 y = e − 1 ( 1 − 5 + 2 ) = − 2 e − 1 < 0 , so ( 1 , 1 2 e − 1 ) (1, \tfrac{1}{2}e^{-1}) ( 1 , 2 1 e − 1 ) is a maximum point .
The other stationary point is ( − 1 , 1 2 e − 1 ) \mathbf{(-1,\;\tfrac{1}{2}e^{-1})} ( − 1 , 2 1 e − 1 ) .
Sketch of C 1 C_1 C 1 . The curve passes through the origin (minimum), rises to a maximum at ( 1 , 1 2 e − 1 ) (1, \tfrac{1}{2}e^{-1}) ( 1 , 2 1 e − 1 ) , and by symmetry about the y y y -axis (since y = 1 2 x 2 e − x 2 y = \tfrac{1}{2}x^2 e^{-x^2} y = 2 1 x 2 e − x 2 is an even function) also has a maximum at ( − 1 , 1 2 e − 1 ) (-1, \tfrac{1}{2}e^{-1}) ( − 1 , 2 1 e − 1 ) . As x → ± ∞ x \to \pm\infty x → ± ∞ , y → 0 + y \to 0^+ y → 0 + . The curve has a characteristic bell-shaped hump centred on the y y y -axis.
Curve C 2 C_2 C 2 .
C 2 C_2 C 2 passes through the origin with d y d x = x ( 1 − x 2 ) e − x 3 \dfrac{dy}{dx} = x(1 - x^2)e^{-x^3} d x d y = x ( 1 − x 2 ) e − x 3 .
Stationary points. Setting d y d x = 0 \dfrac{dy}{dx} = 0 d x d y = 0 : since e − x 3 ≠ 0 e^{-x^3} \neq 0 e − x 3 = 0 , we again need x ( 1 − x 2 ) = 0 x(1 - x^2) = 0 x ( 1 − x 2 ) = 0 , giving x = 0 , ± 1 x = 0, \pm 1 x = 0 , ± 1 .
Second derivative. Differentiating the gradient:
d 2 y d x 2 = d d x [ ( x − x 3 ) e − x 3 ] = ( 1 − 3 x 2 ) e − x 3 + ( x − x 3 ) ( − 3 x 2 ) e − x 3 \frac{d^2y}{dx^2} = \frac{d}{dx}\bigl[(x - x^3)e^{-x^3}\bigr] = (1 - 3x^2)e^{-x^3} + (x - x^3)(-3x^2)e^{-x^3} d x 2 d 2 y = d x d [ ( x − x 3 ) e − x 3 ] = ( 1 − 3 x 2 ) e − x 3 + ( x − x 3 ) ( − 3 x 2 ) e − x 3
= e − x 3 [ ( 1 − 3 x 2 ) − 3 x 2 ( 1 − x 2 ) ( x ) ] = e − x 3 ( 1 − 3 x 2 − 3 x 3 + 3 x 5 ) . = e^{-x^3}\bigl[(1 - 3x^2) - 3x^2(1 - x^2)(x)\bigr] = e^{-x^3}(1 - 3x^2 - 3x^3 + 3x^5). = e − x 3 [ ( 1 − 3 x 2 ) − 3 x 2 ( 1 − x 2 ) ( x ) ] = e − x 3 ( 1 − 3 x 2 − 3 x 3 + 3 x 5 ) .
At x = 0 x = 0 x = 0 : d 2 y d x 2 = 1 > 0 \dfrac{d^2y}{dx^2} = 1 > 0 d x 2 d 2 y = 1 > 0 , so ( 0 , 0 ) (0, 0) ( 0 , 0 ) is a minimum point .
At x = 1 x = 1 x = 1 : d 2 y d x 2 = e − 1 ( 1 − 3 − 3 + 3 ) = − 2 e − 1 < 0 \dfrac{d^2y}{dx^2} = e^{-1}(1 - 3 - 3 + 3) = -2e^{-1} < 0 d x 2 d 2 y = e − 1 ( 1 − 3 − 3 + 3 ) = − 2 e − 1 < 0 , so ( 1 , k ) (1, k) ( 1 , k ) is a maximum point .
Showing k > 1 2 e − 1 k > \frac{1}{2}e^{-1} k > 2 1 e − 1 . Since C 2 C_2 C 2 passes through the origin, the y y y -value at the maximum is
k = ∫ 0 1 x ( 1 − x 2 ) e − x 3 d x . k = \int_0^1 x(1 - x^2)e^{-x^3}\,dx. k = ∫ 0 1 x ( 1 − x 2 ) e − x 3 d x .
For C 1 C_1 C 1 , the y y y -value at its maximum is
1 2 e − 1 = ∫ 0 1 x ( 1 − x 2 ) e − x 2 d x \tfrac{1}{2}e^{-1} = \int_0^1 x(1 - x^2)e^{-x^2}\,dx 2 1 e − 1 = ∫ 0 1 x ( 1 − x 2 ) e − x 2 d x
which we can verify: ∫ 0 1 ( x − x 3 ) e − x 2 d x = [ 1 2 x 2 e − x 2 ] 0 1 = 1 2 e − 1 \int_0^1 (x - x^3)e^{-x^2}\,dx = \bigl[\tfrac{1}{2}x^2 e^{-x^2}\bigr]_0^1 = \tfrac{1}{2}e^{-1} ∫ 0 1 ( x − x 3 ) e − x 2 d x = [ 2 1 x 2 e − x 2 ] 0 1 = 2 1 e − 1 .
For 0 < x < 1 0 < x < 1 0 < x < 1 : x 3 < x 2 x^3 < x^2 x 3 < x 2 , so − x 3 > − x 2 -x^3 > -x^2 − x 3 > − x 2 , giving e − x 3 > e − x 2 e^{-x^3} > e^{-x^2} e − x 3 > e − x 2 .
Also x ( 1 − x 2 ) > 0 x(1 - x^2) > 0 x ( 1 − x 2 ) > 0 for 0 < x < 1 0 < x < 1 0 < x < 1 .
Therefore x ( 1 − x 2 ) e − x 3 > x ( 1 − x 2 ) e − x 2 x(1 - x^2)e^{-x^3} > x(1 - x^2)e^{-x^2} x ( 1 − x 2 ) e − x 3 > x ( 1 − x 2 ) e − x 2 for all x ∈ ( 0 , 1 ) x \in (0, 1) x ∈ ( 0 , 1 ) , and since the integrands are continuous and agree at the endpoints, we conclude
k = ∫ 0 1 x ( 1 − x 2 ) e − x 3 d x > ∫ 0 1 x ( 1 − x 2 ) e − x 2 d x = 1 2 e − 1 . k = \int_0^1 x(1 - x^2)e^{-x^3}\,dx > \int_0^1 x(1 - x^2)e^{-x^2}\,dx = \tfrac{1}{2}e^{-1}. k = ∫ 0 1 x ( 1 − x 2 ) e − x 3 d x > ∫ 0 1 x ( 1 − x 2 ) e − x 2 d x = 2 1 e − 1 .
Topic : 积分 Integration | Difficulty : Challenging | Marks : 20
6 Show that
∫ 0 1 x 4 1 + x 2 d x = π 4 − 2 3 . \int_0^1 \frac{x^4}{1 + x^2} \text{ d}x = \frac{\pi}{4} - \frac{2}{3} . ∫ 0 1 1 + x 2 x 4 d x = 4 π − 3 2 .
Determine the values of
(i) ∫ 0 1 x 3 tan − 1 ( 1 − x 1 + x ) d x \int_0^1 x^3 \tan^{-1} \left( \frac{1 - x}{1 + x} \right) \text{ d}x ∫ 0 1 x 3 tan − 1 ( 1 + x 1 − x ) d x ,
(ii) ∫ 0 1 ( 1 − y ) 3 ( 1 + y ) 5 tan − 1 y d y \int_0^1 \frac{(1 - y)^3}{(1 + y)^5} \tan^{-1} y \text{ d}y ∫ 0 1 ( 1 + y ) 5 ( 1 − y ) 3 tan − 1 y d y .
Model Solution
Preliminary result.
Perform polynomial long division:
x 4 1 + x 2 = x 2 − 1 + 1 1 + x 2 \frac{x^4}{1 + x^2} = x^2 - 1 + \frac{1}{1 + x^2} 1 + x 2 x 4 = x 2 − 1 + 1 + x 2 1
since x 4 = ( x 2 − 1 ) ( x 2 + 1 ) + 1 x^4 = (x^2 - 1)(x^2 + 1) + 1 x 4 = ( x 2 − 1 ) ( x 2 + 1 ) + 1 .
Therefore
∫ 0 1 x 4 1 + x 2 d x = ∫ 0 1 ( x 2 − 1 ) d x + ∫ 0 1 1 1 + x 2 d x = [ x 3 3 − x ] 0 1 + [ tan − 1 x ] 0 1 \int_0^1 \frac{x^4}{1 + x^2}\,dx = \int_0^1 (x^2 - 1)\,dx + \int_0^1 \frac{1}{1 + x^2}\,dx = \left[\frac{x^3}{3} - x\right]_0^1 + \left[\tan^{-1}x\right]_0^1 ∫ 0 1 1 + x 2 x 4 d x = ∫ 0 1 ( x 2 − 1 ) d x + ∫ 0 1 1 + x 2 1 d x = [ 3 x 3 − x ] 0 1 + [ tan − 1 x ] 0 1
= ( 1 3 − 1 ) + π 4 = π 4 − 2 3 . ✓ = \left(\frac{1}{3} - 1\right) + \frac{\pi}{4} = \frac{\pi}{4} - \frac{2}{3}. \qquad \checkmark = ( 3 1 − 1 ) + 4 π = 4 π − 3 2 . ✓
Part (i).
We use integration by parts. First we compute the derivative of tan − 1 ( 1 − x 1 + x ) \tan^{-1}\!\left(\dfrac{1-x}{1+x}\right) tan − 1 ( 1 + x 1 − x ) .
Set u = 1 − x 1 + x u = \dfrac{1-x}{1+x} u = 1 + x 1 − x , so d u d x = − ( 1 + x ) − ( 1 − x ) ( 1 + x ) 2 = − 2 ( 1 + x ) 2 \dfrac{du}{dx} = \dfrac{-(1+x) - (1-x)}{(1+x)^2} = \dfrac{-2}{(1+x)^2} d x d u = ( 1 + x ) 2 − ( 1 + x ) − ( 1 − x ) = ( 1 + x ) 2 − 2 .
1 + u 2 = 1 + ( 1 − x ) 2 ( 1 + x ) 2 = ( 1 + x ) 2 + ( 1 − x ) 2 ( 1 + x ) 2 = 2 + 2 x 2 ( 1 + x ) 2 = 2 ( 1 + x 2 ) ( 1 + x ) 2 . 1 + u^2 = 1 + \frac{(1-x)^2}{(1+x)^2} = \frac{(1+x)^2 + (1-x)^2}{(1+x)^2} = \frac{2 + 2x^2}{(1+x)^2} = \frac{2(1+x^2)}{(1+x)^2}. 1 + u 2 = 1 + ( 1 + x ) 2 ( 1 − x ) 2 = ( 1 + x ) 2 ( 1 + x ) 2 + ( 1 − x ) 2 = ( 1 + x ) 2 2 + 2 x 2 = ( 1 + x ) 2 2 ( 1 + x 2 ) .
By the chain rule:
d d x tan − 1 ( 1 − x 1 + x ) = 1 1 + u 2 ⋅ d u d x = ( 1 + x ) 2 2 ( 1 + x 2 ) ⋅ − 2 ( 1 + x ) 2 = − 1 1 + x 2 . \frac{d}{dx}\tan^{-1}\!\left(\frac{1-x}{1+x}\right) = \frac{1}{1 + u^2}\cdot\frac{du}{dx} = \frac{(1+x)^2}{2(1+x^2)}\cdot\frac{-2}{(1+x)^2} = \frac{-1}{1+x^2}. d x d tan − 1 ( 1 + x 1 − x ) = 1 + u 2 1 ⋅ d x d u = 2 ( 1 + x 2 ) ( 1 + x ) 2 ⋅ ( 1 + x ) 2 − 2 = 1 + x 2 − 1 .
Now integrate by parts with U = tan − 1 ( 1 − x 1 + x ) U = \tan^{-1}\!\left(\dfrac{1-x}{1+x}\right) U = tan − 1 ( 1 + x 1 − x ) and d V = x 3 d x dV = x^3\,dx d V = x 3 d x :
d U = − 1 1 + x 2 d x , V = x 4 4 . dU = \frac{-1}{1+x^2}\,dx, \qquad V = \frac{x^4}{4}. d U = 1 + x 2 − 1 d x , V = 4 x 4 .
∫ 0 1 x 3 tan − 1 ( 1 − x 1 + x ) d x = [ x 4 4 tan − 1 ( 1 − x 1 + x ) ] 0 1 − ∫ 0 1 x 4 4 ⋅ − 1 1 + x 2 d x \int_0^1 x^3 \tan^{-1}\!\left(\frac{1-x}{1+x}\right)dx = \left[\frac{x^4}{4}\tan^{-1}\!\left(\frac{1-x}{1+x}\right)\right]_0^1 - \int_0^1 \frac{x^4}{4}\cdot\frac{-1}{1+x^2}\,dx ∫ 0 1 x 3 tan − 1 ( 1 + x 1 − x ) d x = [ 4 x 4 tan − 1 ( 1 + x 1 − x ) ] 0 1 − ∫ 0 1 4 x 4 ⋅ 1 + x 2 − 1 d x
= [ x 4 4 tan − 1 ( 1 − x 1 + x ) ] 0 1 + 1 4 ∫ 0 1 x 4 1 + x 2 d x . = \left[\frac{x^4}{4}\tan^{-1}\!\left(\frac{1-x}{1+x}\right)\right]_0^1 + \frac{1}{4}\int_0^1 \frac{x^4}{1+x^2}\,dx. = [ 4 x 4 tan − 1 ( 1 + x 1 − x ) ] 0 1 + 4 1 ∫ 0 1 1 + x 2 x 4 d x .
Evaluating the boundary term:
At x = 1 x = 1 x = 1 : 1 4 tan − 1 ( 0 ) = 0 \dfrac{1}{4}\tan^{-1}(0) = 0 4 1 tan − 1 ( 0 ) = 0 .
At x = 0 x = 0 x = 0 : 0 ⋅ tan − 1 ( 1 ) = 0 0 \cdot \tan^{-1}(1) = 0 0 ⋅ tan − 1 ( 1 ) = 0 .
So the boundary term vanishes, and
∫ 0 1 x 3 tan − 1 ( 1 − x 1 + x ) d x = 1 4 ∫ 0 1 x 4 1 + x 2 d x = 1 4 ( π 4 − 2 3 ) = 3 π − 8 48 . \int_0^1 x^3 \tan^{-1}\!\left(\frac{1-x}{1+x}\right)dx = \frac{1}{4}\int_0^1 \frac{x^4}{1+x^2}\,dx = \frac{1}{4}\left(\frac{\pi}{4} - \frac{2}{3}\right) = \frac{3\pi - 8}{48}. ∫ 0 1 x 3 tan − 1 ( 1 + x 1 − x ) d x = 4 1 ∫ 0 1 1 + x 2 x 4 d x = 4 1 ( 4 π − 3 2 ) = 48 3 π − 8 .
Part (ii).
Use the substitution y = 1 − t 1 + t y = \dfrac{1-t}{1+t} y = 1 + t 1 − t , so t = 1 − y 1 + y t = \dfrac{1-y}{1+y} t = 1 + y 1 − y .
When y = 0 y = 0 y = 0 : t = 1 t = 1 t = 1 . When y = 1 y = 1 y = 1 : t = 0 t = 0 t = 0 .
d y d t = − ( 1 + t ) − ( 1 − t ) ( 1 + t ) 2 = − 2 ( 1 + t ) 2 . \frac{dy}{dt} = \frac{-(1+t) - (1-t)}{(1+t)^2} = \frac{-2}{(1+t)^2}. d t d y = ( 1 + t ) 2 − ( 1 + t ) − ( 1 − t ) = ( 1 + t ) 2 − 2 .
We compute the key building blocks:
1 + y = 1 + 1 − t 1 + t = ( 1 + t ) + ( 1 − t ) 1 + t = 2 1 + t , 1 + y = 1 + \frac{1-t}{1+t} = \frac{(1+t) + (1-t)}{1+t} = \frac{2}{1+t}, 1 + y = 1 + 1 + t 1 − t = 1 + t ( 1 + t ) + ( 1 − t ) = 1 + t 2 ,
1 − y = 1 − 1 − t 1 + t = ( 1 + t ) − ( 1 − t ) 1 + t = 2 t 1 + t . 1 - y = 1 - \frac{1-t}{1+t} = \frac{(1+t) - (1-t)}{1+t} = \frac{2t}{1+t}. 1 − y = 1 − 1 + t 1 − t = 1 + t ( 1 + t ) − ( 1 − t ) = 1 + t 2 t .
Therefore
( 1 − y ) 3 ( 1 + y ) 5 = [ 2 t / ( 1 + t ) ] 3 [ 2 / ( 1 + t ) ] 5 = 8 t 3 / ( 1 + t ) 3 32 / ( 1 + t ) 5 = t 3 ( 1 + t ) 2 4 . \frac{(1-y)^3}{(1+y)^5} = \frac{[2t/(1+t)]^3}{[2/(1+t)]^5} = \frac{8t^3/(1+t)^3}{32/(1+t)^5} = \frac{t^3(1+t)^2}{4}. ( 1 + y ) 5 ( 1 − y ) 3 = [ 2/ ( 1 + t ) ] 5 [ 2 t / ( 1 + t ) ] 3 = 32/ ( 1 + t ) 5 8 t 3 / ( 1 + t ) 3 = 4 t 3 ( 1 + t ) 2 .
Also tan − 1 y = tan − 1 ( 1 − t 1 + t ) \tan^{-1}y = \tan^{-1}\!\left(\dfrac{1-t}{1+t}\right) tan − 1 y = tan − 1 ( 1 + t 1 − t ) .
Substituting into the integral (and reversing limits to absorb the negative sign from d y / d t dy/dt d y / d t ):
∫ 0 1 ( 1 − y ) 3 ( 1 + y ) 5 tan − 1 y d y = ∫ 1 0 t 3 ( 1 + t ) 2 4 tan − 1 ( 1 − t 1 + t ) ⋅ − 2 ( 1 + t ) 2 d t \int_0^1 \frac{(1-y)^3}{(1+y)^5}\tan^{-1}y\,dy = \int_1^0 \frac{t^3(1+t)^2}{4}\tan^{-1}\!\left(\frac{1-t}{1+t}\right)\cdot\frac{-2}{(1+t)^2}\,dt ∫ 0 1 ( 1 + y ) 5 ( 1 − y ) 3 tan − 1 y d y = ∫ 1 0 4 t 3 ( 1 + t ) 2 tan − 1 ( 1 + t 1 − t ) ⋅ ( 1 + t ) 2 − 2 d t
= 1 2 ∫ 0 1 t 3 tan − 1 ( 1 − t 1 + t ) d t . = \frac{1}{2}\int_0^1 t^3\tan^{-1}\!\left(\frac{1-t}{1+t}\right)dt. = 2 1 ∫ 0 1 t 3 tan − 1 ( 1 + t 1 − t ) d t .
This is exactly 1 2 \dfrac{1}{2} 2 1 times the integral evaluated in part (i). Therefore
∫ 0 1 ( 1 − y ) 3 ( 1 + y ) 5 tan − 1 y d y = 1 2 ⋅ 3 π − 8 48 = 3 π − 8 96 . \int_0^1 \frac{(1-y)^3}{(1+y)^5}\tan^{-1}y\,dy = \frac{1}{2}\cdot\frac{3\pi - 8}{48} = \frac{3\pi - 8}{96}. ∫ 0 1 ( 1 + y ) 5 ( 1 − y ) 3 tan − 1 y d y = 2 1 ⋅ 48 3 π − 8 = 96 3 π − 8 .
Topic : 复数 Complex Numbers | Difficulty : Challenging | Marks : 20
7 In an Argand diagram, O O O is the origin and P P P is the point 2 + 0 i 2 + 0i 2 + 0 i . The points Q Q Q , R R R and S S S are such that the lengths O P OP O P , P Q PQ P Q , Q R QR QR and R S RS R S are all equal, and the angles O P Q OPQ O P Q , P Q R PQR P QR and Q R S QRS QR S are all equal to 5 π / 6 5\pi/6 5 π /6 , so that the points O O O , P P P , Q Q Q , R R R and S S S are five vertices of a regular 12-sided polygon lying in the upper half of the Argand diagram. Show that Q Q Q is the point 2 + 3 + i 2 + \sqrt{3} + i 2 + 3 + i and find S S S .
The point C C C is the centre of the circle that passes through the points O O O , P P P and Q Q Q . Show that, if the polygon is rotated anticlockwise about O O O until C C C first lies on the real axis, the new position of S S S is
− 1 2 ( 3 2 + 6 ) ( 3 − i ) . -\frac{1}{2}(3\sqrt{2} + \sqrt{6})(\sqrt{3} - i) . − 2 1 ( 3 2 + 6 ) ( 3 − i ) .
Model Solution
Setting up the geometry.
The five points O , P , Q , R , S O, P, Q, R, S O , P , Q , R , S are consecutive vertices of a regular 12-gon in the upper half-plane. The interior angle of a regular 12-gon is 5 π / 6 5\pi/6 5 π /6 (since each exterior angle is π / 6 \pi/6 π /6 ). Each side has length ∣ O P ∣ = 2 |OP| = 2 ∣ O P ∣ = 2 .
Finding Q Q Q .
Starting from P = 2 P = 2 P = 2 , the vector P Q ⃗ \vec{PQ} P Q has length 2 and makes an angle of π − 5 π / 6 = π / 6 \pi - 5\pi/6 = \pi/6 π − 5 π /6 = π /6 with the positive real axis (the interior angle O P Q = 5 π / 6 OPQ = 5\pi/6 O P Q = 5 π /6 means P Q PQ P Q turns by π / 6 \pi/6 π /6 from the direction P O PO P O ).
So P Q ⃗ = 2 ( cos ( π / 6 ) + i sin ( π / 6 ) ) = 2 ( 3 2 + i 2 ) = 3 + i \vec{PQ} = 2(\cos(\pi/6) + i\sin(\pi/6)) = 2\left(\frac{\sqrt{3}}{2} + \frac{i}{2}\right) = \sqrt{3} + i P Q = 2 ( cos ( π /6 ) + i sin ( π /6 )) = 2 ( 2 3 + 2 i ) = 3 + i .
Q = P + P Q ⃗ = 2 + 3 + i ■ Q = P + \vec{PQ} = 2 + \sqrt{3} + i \qquad \blacksquare Q = P + P Q = 2 + 3 + i ■
Finding S S S .
Each step rotates by − π / 6 -\pi/6 − π /6 (turning left by the exterior angle π / 6 \pi/6 π /6 ) in the complex plane. We can express each successive vertex by multiplying by e i π / 6 e^{i\pi/6} e iπ /6 (rotating by π / 6 \pi/6 π /6 ) and scaling.
Alternatively, in the regular 12-gon centred at some point, each vertex is obtained from the previous by rotation through 2 π / 12 = π / 6 2\pi/12 = \pi/6 2 π /12 = π /6 . Let us use the multiplicative structure directly.
The vector from O O O to P P P is 2 2 2 . The vector from P P P to Q Q Q is 3 + i = 2 e i π / 6 \sqrt{3} + i = 2e^{i\pi/6} 3 + i = 2 e iπ /6 . Each successive side is obtained by rotating the previous side by e i π / 6 e^{i\pi/6} e iπ /6 :
O P ⃗ = 2 \vec{OP} = 2 O P = 2
P Q ⃗ = 2 e i π / 6 \vec{PQ} = 2e^{i\pi/6} P Q = 2 e iπ /6
Q R ⃗ = 2 e i π / 3 \vec{QR} = 2e^{i\pi/3} QR = 2 e iπ /3
R S ⃗ = 2 e i π / 2 = 2 i \vec{RS} = 2e^{i\pi/2} = 2i R S = 2 e iπ /2 = 2 i
So:
Q = 2 + 2 e i π / 6 = 2 + 3 + i Q = 2 + 2e^{i\pi/6} = 2 + \sqrt{3} + i Q = 2 + 2 e iπ /6 = 2 + 3 + i
R = Q + 2 e i π / 3 = ( 2 + 3 + i ) + ( 1 + i 3 ) = 3 + 3 + i ( 1 + 3 ) R = Q + 2e^{i\pi/3} = (2 + \sqrt{3} + i) + (1 + i\sqrt{3}) = 3 + \sqrt{3} + i(1 + \sqrt{3}) R = Q + 2 e iπ /3 = ( 2 + 3 + i ) + ( 1 + i 3 ) = 3 + 3 + i ( 1 + 3 )
S = R + 2 i = 3 + 3 + i ( 3 + 3 ) S = R + 2i = 3 + \sqrt{3} + i(3 + \sqrt{3}) S = R + 2 i = 3 + 3 + i ( 3 + 3 )
Therefore:
S = ( 3 + 3 ) ( 1 + i ) S = (3 + \sqrt{3})(1 + i) S = ( 3 + 3 ) ( 1 + i )
Finding the centre C C C of the circle through O O O , P P P , Q Q Q .
The circumcircle of triangle O P Q OPQ O P Q has centre C C C equidistant from O O O , P P P , and Q Q Q .
Let C = a + b i C = a + bi C = a + bi . Then:
From ∣ C O ∣ = ∣ C P ∣ |CO| = |CP| ∣ C O ∣ = ∣ C P ∣ :
a 2 + b 2 = ( a − 2 ) 2 + b 2 ⟹ a 2 = a 2 − 4 a + 4 ⟹ 4 a = 4 ⟹ a = 1 a^2 + b^2 = (a - 2)^2 + b^2 \implies a^2 = a^2 - 4a + 4 \implies 4a = 4 \implies a = 1 a 2 + b 2 = ( a − 2 ) 2 + b 2 ⟹ a 2 = a 2 − 4 a + 4 ⟹ 4 a = 4 ⟹ a = 1
From ∣ C O ∣ = ∣ C Q ∣ |CO| = |CQ| ∣ C O ∣ = ∣ C Q ∣ with Q = 2 + 3 + i Q = 2 + \sqrt{3} + i Q = 2 + 3 + i :
1 + b 2 = ( 1 − 2 − 3 ) 2 + ( b − 1 ) 2 1 + b^2 = (1 - 2 - \sqrt{3})^2 + (b - 1)^2 1 + b 2 = ( 1 − 2 − 3 ) 2 + ( b − 1 ) 2
1 + b 2 = ( 1 + 3 ) 2 + b 2 − 2 b + 1 1 + b^2 = (1 + \sqrt{3})^2 + b^2 - 2b + 1 1 + b 2 = ( 1 + 3 ) 2 + b 2 − 2 b + 1
1 = 1 + 2 3 + 3 − 2 b + 1 1 = 1 + 2\sqrt{3} + 3 - 2b + 1 1 = 1 + 2 3 + 3 − 2 b + 1
1 = 5 + 2 3 − 2 b 1 = 5 + 2\sqrt{3} - 2b 1 = 5 + 2 3 − 2 b
2 b = 4 + 2 3 2b = 4 + 2\sqrt{3} 2 b = 4 + 2 3
b = 2 + 3 b = 2 + \sqrt{3} b = 2 + 3
So C = 1 + ( 2 + 3 ) i C = 1 + (2 + \sqrt{3})i C = 1 + ( 2 + 3 ) i .
Rotating until C C C lies on the real axis.
When we rotate anticlockwise about O O O by angle ϕ \phi ϕ , the new position of C C C is C e i ϕ Ce^{i\phi} C e i ϕ . We need Im ( C e i ϕ ) = 0 \text{Im}(Ce^{i\phi}) = 0 Im ( C e i ϕ ) = 0 and ϕ > 0 \phi > 0 ϕ > 0 minimal.
Write C = 1 + ( 2 + 3 ) i C = 1 + (2 + \sqrt{3})i C = 1 + ( 2 + 3 ) i . In polar form:
∣ C ∣ = 1 + ( 2 + 3 ) 2 = 1 + 4 + 4 3 + 3 = 8 + 4 3 |C| = \sqrt{1 + (2 + \sqrt{3})^2} = \sqrt{1 + 4 + 4\sqrt{3} + 3} = \sqrt{8 + 4\sqrt{3}} ∣ C ∣ = 1 + ( 2 + 3 ) 2 = 1 + 4 + 4 3 + 3 = 8 + 4 3
The argument of C C C is θ C = tan − 1 ( 2 + 3 ) \theta_C = \tan^{-1}(2 + \sqrt{3}) θ C = tan − 1 ( 2 + 3 ) .
We note that tan ( 5 π / 12 ) = tan 75 ° = 2 + 3 \tan(5\pi/12) = \tan 75° = 2 + \sqrt{3} tan ( 5 π /12 ) = tan 75° = 2 + 3 , so θ C = 5 π / 12 \theta_C = 5\pi/12 θ C = 5 π /12 .
To bring C C C onto the real axis, we rotate by ϕ = − θ C \phi = -\theta_C ϕ = − θ C (clockwise, which is negative anticlockwise) to land on the positive real axis, or by ϕ = π − θ C \phi = \pi - \theta_C ϕ = π − θ C to land on the negative real axis. The question asks for the first time C C C lands on the real axis as we rotate anticlockwise (positive ϕ \phi ϕ ), so:
ϕ = 2 π − 5 π / 12 = 19 π / 12 \phi = 2\pi - 5\pi/12 = 19\pi/12 ϕ = 2 π − 5 π /12 = 19 π /12 lands on the positive real axis (large rotation).
ϕ = π − 5 π / 12 = 7 π / 12 \phi = \pi - 5\pi/12 = 7\pi/12 ϕ = π − 5 π /12 = 7 π /12 lands on the negative real axis (smaller rotation).
The first (smallest positive) rotation is ϕ = 7 π / 12 \phi = 7\pi/12 ϕ = 7 π /12 .
New position of S S S .
The rotated position of S S S is:
S ′ = S ⋅ e i ⋅ 7 π / 12 S' = S \cdot e^{i \cdot 7\pi/12} S ′ = S ⋅ e i ⋅ 7 π /12
We have S = ( 3 + 3 ) ( 1 + i ) S = (3 + \sqrt{3})(1 + i) S = ( 3 + 3 ) ( 1 + i ) .
Write 1 + i = 2 e i π / 4 1 + i = \sqrt{2}\,e^{i\pi/4} 1 + i = 2 e iπ /4 , so:
S ′ = ( 3 + 3 ) 2 e i ( π / 4 + 7 π / 12 ) = ( 3 + 3 ) 2 e i ⋅ 10 π / 12 = ( 3 + 3 ) 2 e i ⋅ 5 π / 6 S' = (3 + \sqrt{3})\sqrt{2}\,e^{i(\pi/4 + 7\pi/12)} = (3 + \sqrt{3})\sqrt{2}\,e^{i \cdot 10\pi/12} = (3 + \sqrt{3})\sqrt{2}\,e^{i \cdot 5\pi/6} S ′ = ( 3 + 3 ) 2 e i ( π /4 + 7 π /12 ) = ( 3 + 3 ) 2 e i ⋅ 10 π /12 = ( 3 + 3 ) 2 e i ⋅ 5 π /6
Now e i ⋅ 5 π / 6 = cos ( 5 π / 6 ) + i sin ( 5 π / 6 ) = − 3 2 + i 2 = 1 2 ( − 3 + i ) e^{i \cdot 5\pi/6} = \cos(5\pi/6) + i\sin(5\pi/6) = -\frac{\sqrt{3}}{2} + \frac{i}{2} = \frac{1}{2}(-\sqrt{3} + i) e i ⋅ 5 π /6 = cos ( 5 π /6 ) + i sin ( 5 π /6 ) = − 2 3 + 2 i = 2 1 ( − 3 + i ) .
So:
S ′ = ( 3 + 3 ) 2 ⋅ 1 2 ( − 3 + i ) = ( 3 + 3 ) 2 2 ( − 3 + i ) S' = (3 + \sqrt{3})\sqrt{2} \cdot \frac{1}{2}(-\sqrt{3} + i) = \frac{(3 + \sqrt{3})\sqrt{2}}{2}(-\sqrt{3} + i) S ′ = ( 3 + 3 ) 2 ⋅ 2 1 ( − 3 + i ) = 2 ( 3 + 3 ) 2 ( − 3 + i )
We simplify ( 3 + 3 ) 2 (3 + \sqrt{3})\sqrt{2} ( 3 + 3 ) 2 :
( 3 + 3 ) 2 = 3 2 + 6 (3 + \sqrt{3})\sqrt{2} = 3\sqrt{2} + \sqrt{6} ( 3 + 3 ) 2 = 3 2 + 6
Therefore:
S ′ = 3 2 + 6 2 ( − 3 + i ) = − 1 2 ( 3 2 + 6 ) ( 3 − i ) ■ S' = \frac{3\sqrt{2} + \sqrt{6}}{2}(-\sqrt{3} + i) = -\frac{1}{2}(3\sqrt{2} + \sqrt{6})(\sqrt{3} - i) \qquad \blacksquare S ′ = 2 3 2 + 6 ( − 3 + i ) = − 2 1 ( 3 2 + 6 ) ( 3 − i ) ■
Topic : 微分方程 Differential Equations | Difficulty : Challenging | Marks : 20
8 The function f f f satisfies f ( x + 1 ) = f ( x ) f(x + 1) = f(x) f ( x + 1 ) = f ( x ) and f ( x ) > 0 f(x) > 0 f ( x ) > 0 for all x x x .
(i) Give an example of such a function.
(ii) The function F F F satisfies
d F d x = f ( x ) \frac{\mathrm{d}F}{\mathrm{d}x} = f(x) d x d F = f ( x )
and F ( 0 ) = 0 F(0) = 0 F ( 0 ) = 0 . Show that F ( n ) = n F ( 1 ) F(n) = nF(1) F ( n ) = n F ( 1 ) , for any positive integer n n n .
(iii) Let y y y be the solution of the differential equation
d y d x + f ( x ) y = 0 \frac{\mathrm{d}y}{\mathrm{d}x} + f(x)y = 0 d x d y + f ( x ) y = 0
that satisfies y = 1 y = 1 y = 1 when x = 0 x = 0 x = 0 . Show that y ( n ) → 0 y(n) \to 0 y ( n ) → 0 as n → ∞ n \to \infty n → ∞ , where n = 1 , 2 , 3 , … n = 1, 2, 3, \dots n = 1 , 2 , 3 , …
Model Solution
Part (i): Example
f ( x ) = 2 + sin 2 π x f(x) = 2 + \sin 2\pi x f ( x ) = 2 + sin 2 π x satisfies f ( x + 1 ) = 2 + sin 2 π ( x + 1 ) = 2 + sin ( 2 π x + 2 π ) = 2 + sin 2 π x = f ( x ) f(x+1) = 2 + \sin 2\pi(x+1) = 2 + \sin(2\pi x + 2\pi) = 2 + \sin 2\pi x = f(x) f ( x + 1 ) = 2 + sin 2 π ( x + 1 ) = 2 + sin ( 2 π x + 2 π ) = 2 + sin 2 π x = f ( x ) , and f ( x ) ≥ 2 − 1 = 1 > 0 f(x) \geq 2 - 1 = 1 > 0 f ( x ) ≥ 2 − 1 = 1 > 0 for all x x x . ■ \qquad \blacksquare ■
(Any positive periodic function with period 1 works, e.g. f ( x ) = 2 + cos 2 π x f(x) = 2 + \cos 2\pi x f ( x ) = 2 + cos 2 π x .)
Part (ii): Showing F ( n ) = n F ( 1 ) F(n) = nF(1) F ( n ) = n F ( 1 )
Since F ′ ( x ) = f ( x ) F'(x) = f(x) F ′ ( x ) = f ( x ) and F ( 0 ) = 0 F(0) = 0 F ( 0 ) = 0 :
F ( n ) = ∫ 0 n f ( x ) d x F(n) = \int_0^n f(x)\,dx F ( n ) = ∫ 0 n f ( x ) d x
Split the integral into unit intervals:
F ( n ) = ∫ 0 1 f ( x ) d x + ∫ 1 2 f ( x ) d x + ⋯ + ∫ n − 1 n f ( x ) d x = ∑ k = 0 n − 1 ∫ k k + 1 f ( x ) d x F(n) = \int_0^1 f(x)\,dx + \int_1^2 f(x)\,dx + \cdots + \int_{n-1}^n f(x)\,dx = \sum_{k=0}^{n-1} \int_k^{k+1} f(x)\,dx F ( n ) = ∫ 0 1 f ( x ) d x + ∫ 1 2 f ( x ) d x + ⋯ + ∫ n − 1 n f ( x ) d x = ∑ k = 0 n − 1 ∫ k k + 1 f ( x ) d x
In each integral ∫ k k + 1 f ( x ) d x \int_k^{k+1} f(x)\,dx ∫ k k + 1 f ( x ) d x , substitute x = t + k x = t + k x = t + k :
∫ k k + 1 f ( x ) d x = ∫ 0 1 f ( t + k ) d t = ∫ 0 1 f ( t ) d t = F ( 1 ) − F ( 0 ) = F ( 1 ) \int_k^{k+1} f(x)\,dx = \int_0^1 f(t + k)\,dt = \int_0^1 f(t)\,dt = F(1) - F(0) = F(1) ∫ k k + 1 f ( x ) d x = ∫ 0 1 f ( t + k ) d t = ∫ 0 1 f ( t ) d t = F ( 1 ) − F ( 0 ) = F ( 1 )
where we used f ( t + k ) = f ( t ) f(t + k) = f(t) f ( t + k ) = f ( t ) (since f f f has period 1 and k k k is an integer).
Therefore:
F ( n ) = ∑ k = 0 n − 1 F ( 1 ) = n F ( 1 ) ■ F(n) = \sum_{k=0}^{n-1} F(1) = nF(1) \qquad \blacksquare F ( n ) = ∑ k = 0 n − 1 F ( 1 ) = n F ( 1 ) ■
Part (iii): Showing y ( n ) → 0 y(n) \to 0 y ( n ) → 0 as n → ∞ n \to \infty n → ∞
The differential equation is:
d y d x + f ( x ) y = 0 ⟹ d y d x = − f ( x ) y \frac{dy}{dx} + f(x)y = 0 \implies \frac{dy}{dx} = -f(x)y d x d y + f ( x ) y = 0 ⟹ d x d y = − f ( x ) y
This is separable:
d y y = − f ( x ) d x \frac{dy}{y} = -f(x)\,dx y d y = − f ( x ) d x
Integrating from 0 0 0 to x x x :
ln ∣ y ( x ) ∣ − ln ∣ y ( 0 ) ∣ = − ∫ 0 x f ( t ) d t = − F ( x ) \ln|y(x)| - \ln|y(0)| = -\int_0^x f(t)\,dt = -F(x) ln ∣ y ( x ) ∣ − ln ∣ y ( 0 ) ∣ = − ∫ 0 x f ( t ) d t = − F ( x )
Since y ( 0 ) = 1 y(0) = 1 y ( 0 ) = 1 :
ln y ( x ) = − F ( x ) ⟹ y ( x ) = e − F ( x ) \ln y(x) = -F(x) \implies y(x) = e^{-F(x)} ln y ( x ) = − F ( x ) ⟹ y ( x ) = e − F ( x )
(We can drop the absolute value since y ( 0 ) = 1 > 0 y(0) = 1 > 0 y ( 0 ) = 1 > 0 and y y y is continuous, so y > 0 y > 0 y > 0 everywhere.)
At x = n x = n x = n :
y ( n ) = e − F ( n ) = e − n F ( 1 ) y(n) = e^{-F(n)} = e^{-nF(1)} y ( n ) = e − F ( n ) = e − n F ( 1 )
From part (ii). Since f ( x ) > 0 f(x) > 0 f ( x ) > 0 for all x x x , we have F ( 1 ) = ∫ 0 1 f ( x ) d x > 0 F(1) = \int_0^1 f(x)\,dx > 0 F ( 1 ) = ∫ 0 1 f ( x ) d x > 0 .
Therefore n F ( 1 ) → ∞ nF(1) \to \infty n F ( 1 ) → ∞ as n → ∞ n \to \infty n → ∞ , and:
y ( n ) = e − n F ( 1 ) → 0 as n → ∞ ■ y(n) = e^{-nF(1)} \to 0 \quad \text{as } n \to \infty \qquad \blacksquare y ( n ) = e − n F ( 1 ) → 0 as n → ∞ ■