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Verizon [17]
3 years ago
15

What is the domain of the function? Domain: x

Mathematics
1 answer:
aleksley [76]3 years ago
8 0

Answer:

Domain of a function as the possible values of x.

Step-by-step explanation:

When we define a function, we state to types of variable, the dependent variable and the independent variable.

If we have a function of the form y = f(x), here, x is the independent variable and y is the dependent variable, that is, y depends on x.

We define domain of a function as the possible values of x that is the independent variable. Thus, it is a set of all possible values of x such that  the value of function f(x) or the value of y is defined.

To find the domain of a function, we should try to find all possible values x can take such that y is defined.

Example: In a function consisting of fraction we should choose the domain in such a manner that the denominator is not zero.

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Given that cos(30°) = cos(45°)cos(15°) + sin(45°)sin(15°), it follows that cos(30°) =
mario62 [17]

Answer:

cos(30\°) = cos(45\°-15\°)

Step-by-step explanation:

To solve this problem you must know the formula of subtraction of angles for the function cosx.

The formula is:

cos(h-d) = cos(h)cos(d) + sin(h)sin(d)

We can write 30° as: 45° - 15°

Then:

cos(30\°) = cos(45\°-15\°)

Using the formula for subtraction of angles we have:

cos(45\°-15\°) = cos(45\°)cos(15\°) + sin(45\°)sin(15\°)

Notice that we have achieved the expression shown in the statement

Finally:

cos(30\°) = cos(45\°-15\°)

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3 years ago
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During a seven day winter storm, snow fall levels were recorded in this table. What was the average snowfall for those days?
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Answer:

45.98

Step-by-step explanation:

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3 years ago
Let production be given by P = bLαK1−α where b and α are positive and α < 1. If the cost of a unit of labor is m and the cost
Nana76 [90]

Answer:

The proof is completed below

Step-by-step explanation:

1) Definition of info given

We have the function that we want to maximize given by (1)

P(L,K)=bL^{\alpha}K^{1-\alpha}   (1)

And the constraint is given by mL+nK=p

2) Methodology to solve the problem

On this case in order to maximize the function on equation (1) we need to calculate the partial derivates respect to L and K, since we have two variables.

Then we can use the method of Lagrange multipliers and solve a system of equations. Since that is the appropiate method when we want to maximize a function with more than 1 variable.

The final step will be obtain the values K and L that maximizes the function

3) Calculate the partial derivates

Computing the derivates respect to L and K produce this:

\frac{dP}{dL}=b\alphaL^{\alpha-1}K^{1-\alpha}

\frac{dP}{dK}=b(1-\alpha)L^{\alpha}K^{-\alpha}

4) Apply the method of lagrange multipliers

Using this method we have this system of equations:

\frac{dP}{dL}=\lambda m

\frac{dP}{dK}=\lambda n

mL+nK=p

And replacing what we got for the partial derivates we got:

b\alphaL^{\alpha-1}K^{1-\alpha}=\lambda m   (2)

b(1-\alpha)L^{\alpha}K^{-\alpha}=\lambda n   (3)

mL+nK=p   (4)

Now we can cancel the Lagrange multiplier \lambda with equations (2) and (3), dividing these equations:

\frac{\lambda m}{\lambda n}=\frac{b\alphaL^{\alpha-1}K^{1-\alpha}}{b(1-\alpha)L^{\alpha}K^{-\alpha}}   (4)

And simplyfing equation (4) we got:

\frac{m}{n}=\frac{\alpha K}{(1-\alpha)L}   (5)

4) Solve for L and K

We can cross multiply equation (5) and we got

\alpha Kn=m(1-\alpha)L

And we can set up this last equation equal to 0

m(1-\alpha)L-\alpha Kn=0   (6)

Now we can set up the following system of equations:

mL+nK=p   (a)

m(1-\alpha)L-\alpha Kn=0   (b)

We can mutltiply the equation (a) by \alpha on both sides and add the result to equation (b) and we got:

Lm=\alpha p

And we can solve for L on this case:

L=\frac{\alpha p}{m}

And now in order to obtain K we can replace the result obtained for L into equations (a) or (b), replacing into equation (a)

m(\frac{\alpha P}{m})+nK=p

\alpha P +nK=P

nK=P(1-\alpha)

K=\frac{P(1-\alpha)}{n}

With this we have completed the proof.

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