The domain of the function is (-1,0,1,2,3,4,5)
for the graph the domain is (-∞,<span>∞</span>)
Answer:
what are u trying to say explain more please
Answer:
![x=\frac{1}{4}](https://tex.z-dn.net/?f=x%3D%5Cfrac%7B1%7D%7B4%7D)
Step-by-step explanation:
We can use some logarithmic rules to solve this easily.
<em>Note: Ln means
</em>
<em />
Now, lets start with the equation:
![ln(2x) + ln(2) = 0\\ln(2x) = -ln(2)](https://tex.z-dn.net/?f=ln%282x%29%20%2B%20ln%282%29%20%3D%200%5C%5Cln%282x%29%20%3D%20-ln%282%29)
Writing left side with logarithmic base e, we have:
![Log_{e}(2x) = -ln(2)](https://tex.z-dn.net/?f=Log_%7Be%7D%282x%29%20%3D%20-ln%282%29)
We can now use the property shown below to make this into exponential form:
![Log_{a}b=x\\means\\a^x=b](https://tex.z-dn.net/?f=Log_%7Ba%7Db%3Dx%5C%5Cmeans%5C%5Ca%5Ex%3Db)
So, we write:
![Log_{e}(2x) = -ln(2)\\e^{-ln(2)}=2x](https://tex.z-dn.net/?f=Log_%7Be%7D%282x%29%20%3D%20-ln%282%29%5C%5Ce%5E%7B-ln%282%29%7D%3D2x)
We recognize another property of exponentials:
![a^{bc}=(a^{b})^{c}](https://tex.z-dn.net/?f=a%5E%7Bbc%7D%3D%28a%5E%7Bb%7D%29%5E%7Bc%7D)
So, we write:
![e^{-ln(2)}=2x\\(e^{ln(2)})^{-1}=2x](https://tex.z-dn.net/?f=e%5E%7B-ln%282%29%7D%3D2x%5C%5C%28e%5E%7Bln%282%29%7D%29%5E%7B-1%7D%3D2x)
Also, another property of natural logarithms is:
![e^{(ln(a))}=a](https://tex.z-dn.net/?f=e%5E%7B%28ln%28a%29%29%7D%3Da)
Now, we simplify:
![(e^{ln(2)})^{-1}=2x\\(2)^{-1}=2x\\\frac{1}{2}=2x\\x=\frac{\frac{1}{2}}{2}\\x=\frac{1}{4}](https://tex.z-dn.net/?f=%28e%5E%7Bln%282%29%7D%29%5E%7B-1%7D%3D2x%5C%5C%282%29%5E%7B-1%7D%3D2x%5C%5C%5Cfrac%7B1%7D%7B2%7D%3D2x%5C%5Cx%3D%5Cfrac%7B%5Cfrac%7B1%7D%7B2%7D%7D%7B2%7D%5C%5Cx%3D%5Cfrac%7B1%7D%7B4%7D)
This is the answer.
Answer:
(a)0.16
(b)0.588
(c)![[s_1$ s_2]=[0.75,$ 0.25]](https://tex.z-dn.net/?f=%5Bs_1%24%20s_2%5D%3D%5B0.75%2C%24%20%200.25%5D)
Step-by-step explanation:
The matrix below shows the transition probabilities of the state of the system.
![\left(\begin{array}{c|cc}&$Running&$Down\\---&---&---\\$Running&0.90&0.10\\$Down&0.30&0.70\end{array}\right)](https://tex.z-dn.net/?f=%5Cleft%28%5Cbegin%7Barray%7D%7Bc%7Ccc%7D%26%24Running%26%24Down%5C%5C---%26---%26---%5C%5C%24Running%260.90%260.10%5C%5C%24Down%260.30%260.70%5Cend%7Barray%7D%5Cright%29)
(a)To determine the probability of the system being down or running after any k hours, we determine the kth state matrix
.
(a)
![P^1=\left(\begin{array}{c|cc}&$Running&$Down\\---&---&---\\$Running&0.90&0.10\\$Down&0.30&0.70\end{array}\right)](https://tex.z-dn.net/?f=P%5E1%3D%5Cleft%28%5Cbegin%7Barray%7D%7Bc%7Ccc%7D%26%24Running%26%24Down%5C%5C---%26---%26---%5C%5C%24Running%260.90%260.10%5C%5C%24Down%260.30%260.70%5Cend%7Barray%7D%5Cright%29)
![P^2=\begin{pmatrix}0.84&0.16\\ 0.48&0.52\end{pmatrix}](https://tex.z-dn.net/?f=P%5E2%3D%5Cbegin%7Bpmatrix%7D0.84%260.16%5C%5C%200.48%260.52%5Cend%7Bpmatrix%7D)
If the system is initially running, the probability of the system being down in the next hour of operation is the ![(a_{12})th$ entry of the P^2$ matrix.](https://tex.z-dn.net/?f=%28a_%7B12%7D%29th%24%20entry%20of%20the%20P%5E2%24%20matrix.)
The probability of the system being down in the next hour of operation = 0.16
(b)After two(periods) hours, the transition matrix is:
![P^3=\begin{pmatrix}0.804&0.196\\ 0.588&0.412\end{pmatrix}](https://tex.z-dn.net/?f=P%5E3%3D%5Cbegin%7Bpmatrix%7D0.804%260.196%5C%5C%200.588%260.412%5Cend%7Bpmatrix%7D)
Therefore, the probability that a system initially in the down-state is running
is 0.588.
(c)The steady-state probability of a Markov Chain is a matrix S such that SP=S.
Since we have two states, ![S=[s_1$ s_2]](https://tex.z-dn.net/?f=S%3D%5Bs_1%24%20%20s_2%5D)
![[s_1$ s_2]\left(\begin{array}{ccc}0.90&0.10\\0.30&0.70\end{array}\right)=[s_1$ s_2]](https://tex.z-dn.net/?f=%5Bs_1%24%20%20s_2%5D%5Cleft%28%5Cbegin%7Barray%7D%7Bccc%7D0.90%260.10%5C%5C0.30%260.70%5Cend%7Barray%7D%5Cright%29%3D%5Bs_1%24%20%20s_2%5D)
Using a calculator to raise matrix P to large numbers, we find that the value of
approaches [0.75 0.25]:
Furthermore,
![[0.75$ 0.25]\left(\begin{array}{ccc}0.90&0.10\\0.30&0.70\end{array}\right)=[0.75$ 0.25]](https://tex.z-dn.net/?f=%5B0.75%24%20%200.25%5D%5Cleft%28%5Cbegin%7Barray%7D%7Bccc%7D0.90%260.10%5C%5C0.30%260.70%5Cend%7Barray%7D%5Cright%29%3D%5B0.75%24%20%200.25%5D)
The steady-state probabilities of the system being in the running state and in the down-state is therefore:
![[s_1$ s_2]=[0.75$ 0.25]](https://tex.z-dn.net/?f=%5Bs_1%24%20s_2%5D%3D%5B0.75%24%20%200.25%5D)