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Figure 8 shows a sketch of the curve C with equation $y = x^x$, $x > 0$ - Edexcel - A-Level Maths Pure - Question 12 - 2019 - Paper 2

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Question 12

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Figure 8 shows a sketch of the curve C with equation $y = x^x$, $x > 0$. (a) Find, by firstly taking logarithms, the x coordinate of the turning point of C. (Solut... show full transcript

Worked Solution & Example Answer:Figure 8 shows a sketch of the curve C with equation $y = x^x$, $x > 0$ - Edexcel - A-Level Maths Pure - Question 12 - 2019 - Paper 2

Step 1

Find, by firstly taking logarithms, the x coordinate of the turning point of C.

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Answer

To find the turning point of the curve defined by the equation y=xxy = x^x, we first take the natural logarithm of both sides:

ext{Taking logarithms:} & \ ext{Let } y = x^x \ ext{Then:} & \ ext{ln}(y) = x ext{ln}(x) ext{Differentiating both sides:} & \ \frac{dy}{dx} = rac{d}{dx}(x ext{ln}(x)) & \ \rightarrow \frac{dy}{dx} = \text{ln}(x) + 1 \\

To find the turning point, we set rac{dy}{dx} = 0:

extln(x)+1=0 ext{ln}(x) + 1 = 0

Solving for xx gives us: extln(x)=1 ext{ln}(x) = -1

Thus the turning point occurs at x0.368x \approx 0.368.

Step 2

Show that 1.5 < α < 1.6.

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Answer

Given the point P(α, 2) lies on the curve, we substitute this into the equation:

2=αα2 = α^α.

Testing values between 1.5 and 1.6:

For α=1.5α = 1.5: 1.51.51.8371,1.5^{1.5} \approx 1.8371,

For α=1.6α = 1.6: 1.61.61.7272.1.6^{1.6} \approx 1.7272.

Since 1.8371>21.8371 > 2 and 1.7272<21.7272 < 2, this confirms: 1.5<α<1.6.1.5 < α < 1.6.

Step 3

Using this formula with $x_1 = 1.5$ find $x_3$ to 3 decimal places.

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Answer

Using the iteration formula xn+1=2xnxnx_{n+1} = 2x_n^{x_n} with x1=1.5x_1 = 1.5:

  1. Calculate x2x_2: x2=2(1.5)1.521.83713.6742.x_2 = 2(1.5)^{1.5} \approx 2 \cdot 1.8371 \approx 3.6742.

  2. Calculate x3x_3: x3=2(3.6742)3.67422(51.4646)102.9292.x_3 = 2(3.6742)^{3.6742} \approx 2(51.4646) \approx 102.9292.

Thus, x3102.929.x_3 \approx 102.929.

Step 4

Describe the long-term behaviour of $x_n$.

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Answer

The sequence defined by the iteration formula tends to diverge because as xnx_n increases, the value of 2xnxn2x_n^{x_n} grows rapidly. Thus, xnx_n does not converge but will oscillate or diverge as observed from initial conditions, taking increasingly greater positive values.

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