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uranmaximum [27]
3 years ago
5

Find the transformed equation of the hyperbola xy = 4 when rotated 45 degrees.

Mathematics
1 answer:
Luba_88 [7]3 years ago
4 0
The given hyperbola is 
xy = 4

The transformation matrix when the hyperbola is rotated by an angle of θ is
T=\begin{bmatrix} cos \theta & sin \theta  \\ -sin \theta & cos \theta\end{bmatrix}

Note that for θ = 45°, cosθ = sinθ = 1/√2.
Therefore in the transformed coordinate system,
\begin{bmatrix} x' \\ y'\end{bmatrix} = \frac{1}{ \sqrt{2} } \begin{bmatrix} 1&1\\-1&1\end{bmatrix} \begin{bmatrix} x\\y\end{bmatrix}

That is,
x'= \frac{1}{ \sqrt{2} } (x + y) \\ y'= \frac{1}{ \sqrt{2} } (-x+y) \\
x'y'= \frac{1}{2} (y^{2}-x^{2}) =4 \\ y^{2}-x^{2}=8 \\y=\pm \sqrt{x^{2}+8}

The graphs of the original and the rotated hyperbola are shown in the graph below.


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Answer:

a) n=\frac{0.76(1-0.76)}{(\frac{0.01}{1.64})^2}=4905.83  

And rounded up we have that n=4906

b) For this case since we don't have prior info we need to use as estimatro for the proportion \hat p =0.5

n=\frac{0.5(1-0.5)}{(\frac{0.01}{1.64})^2}=6724  

And rounded up we have that n=6724

Step-by-step explanation:

We need to remember that the confidence interval for the true proportion is given by :  

\hat p \pm z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}

Part a

The estimated proportion for this case is \hat p =0.76

Our interval is at 90% of confidence, and the significance level is given by \alpha=1-0.90=0.1 and \alpha/2 =0.05. The critical values for this case are:

z_{\alpha/2}=-1.64, t_{1-\alpha/2}=1.64

The margin of error for the proportion interval is given by this formula:  

ME=z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}    (a)  

The margin of error desired is given ME =\pm 0.01 and we are interested in order to find the value of n, if we solve n from equation (a) we got:  

n=\frac{\hat p (1-\hat p)}{(\frac{ME}{z})^2}   (b)  

Replacing we got:

n=\frac{0.76(1-0.76)}{(\frac{0.01}{1.64})^2}=4905.83  

And rounded up we have that n=4906

Part b

For this case since we don't have prior info we need to use as estimatro for the proportion \hat p =0.5

n=\frac{0.5(1-0.5)}{(\frac{0.01}{1.64})^2}=6724  

And rounded up we have that n=6724

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