What values of m maximize the utility function for a consumer buying two goods?

In summary, the consumer spends a positive amount (m) in order to buy (x) units of one good at the price of 6 per unit, and (y) units of a different good at the price of 10 per unit. The consumer chooses (x) and (y) to maximize the utility function.
  • #1
Knore88
14
0
A consumer spends a positive amount (m) in order to buy (x) units of one good at the price of 6 per unit, and (y) units of a different good at the price of 10 per unit. The consumer chooses (x) and (y) to maximize the utility function

U(x, y) = (x + y)(y + 2).

I need to find the optimal quantities x* and y*, as well as the Lagrange multiplier, all as functions of m.

FOC:

\(\displaystyle {L}_{x}\) = y + 2 - 6\(\displaystyle \lambda\) = 0 (i)

\(\displaystyle {L}_{y}\) = x + 2y + 2 - 10\(\displaystyle \lambda\) = 0 (ii)

6x + 10y - m = 0 (iii)

From (i): \(\displaystyle \lambda\) = \(\displaystyle \frac{y + 2}{6}\)

From (ii): \(\displaystyle \lambda\) = \(\displaystyle \frac{x + 2y + 2}{10}\)

\(\displaystyle \therefore\)

x*(m) = \(\displaystyle \frac{5}{3}\) - \(\displaystyle \frac{m}{24}\)

y*(m) = \(\displaystyle \frac{m}{8}\) - 1

\(\displaystyle \lambda\)*(m) = \(\displaystyle \frac{m}{48}\) + \(\displaystyle \frac{1}{6}\)

Next I need to find the maximum utility value as a function of m.

I plugged the values for x* and y* into the utility function and obtained

U(m or m*?) = \(\displaystyle \frac{m(m + 16)}{96}\) + \(\displaystyle \frac{2}{3}\) ?

Finally, I need to find for what values of m this solution is valid. I'm not quite sure how to do this part?
 
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  • #2
Okay, we have the objective function:

\(\displaystyle U(x,y)=(x+y)(y+2)=xy+2x+y^2+2y\)

Subject to the constraint:

\(\displaystyle g(x,y)=m-6x-10y=0\)

Using Lagrange multipliers, we obtain:

\(\displaystyle y+2=\lambda(-6)\)

\(\displaystyle x+2y+2=\lambda(-10)\)

From this we obtain:

\(\displaystyle -\lambda=\frac{y+2}{6}=\frac{x+2y+2}{10}\)

And this implies:

\(\displaystyle y=4-3x\)

Substituting into the constraint, we obtain:

\(\displaystyle m-6x-10(4-3x)=0\)

\(\displaystyle x(m)=\frac{40-m}{24}\)

Hence:

\(\displaystyle y(m)=4-3\left(\frac{40-m}{24}\right)=4+\frac{m-40}{8}=\frac{m-8}{8}\)

Okay, we agree so far. Now you need to compute:

\(\displaystyle U(x(m),y(m))\)

And then find another point on the constraint to make certain you have maximized $U$.
 
  • #3
U(x(m), y(m)) = U(\(\displaystyle \frac{40-m}{24}\), \(\displaystyle \frac{m-8}{8}\)) = \(\displaystyle \frac{{m}^{2}+16m+64}{96}\)

Can I choose any point on the constraint? Say

y = 10 - 2x

x(m) = \(\displaystyle \frac{100-m}{14}\)

y(m) = \(\displaystyle \frac{-30-m}{7}\)

U(x(m), y(m)) = \(\displaystyle \frac{{3m}^{2}+8m-640}{98}\)

Original is larger until a certain point?
 
  • #4
I get:

\(\displaystyle U(x(m),y(m))=\left(\frac{40-m}{24}+\frac{m-8}{8}\right)\left(\frac{m-8}{8}+2\right)=\frac{m+8}{12}\cdot\frac{m+8}{8}=\frac{(m+8)^2}{96}\)

This agrees with your result...so far so good.

Now, if we are going to pick another point on the constraint, let's examine the constraint:

\(\displaystyle m-6x-10y=0\)

Suppose we let $x=0$, then we have:

\(\displaystyle m-10y=0\implies y=\frac{m}{10}\)

And so we find:

\(\displaystyle U\left(0,\frac{m}{10}\right)=\left(0+\frac{m}{10}\right)\left(\frac{m}{10}+2\right)=\frac{m}{10}\cdot\frac{m+20}{10}=\frac{m(m+20)}{100}\)

So, what we want to do here is make certain that for $0<m$, we have:

\(\displaystyle \frac{(m+8)^2}{96}>\frac{m(m+20)}{100}\)

\(\displaystyle \frac{(m+8)^2}{24}>\frac{m(m+20)}{25}\)

\(\displaystyle 25(m+8)^2>24m(m+20)\)

\(\displaystyle 25m^2+400m+1600>24m^2+480m\)

\(\displaystyle m^2-80m+1600>0\)

\(\displaystyle (m-40)^2>0\)

This is true for $\{m\,|\,m\ne40\}$

This makes sense, because when $m=40$, then $x(m)=0$, which is the other point on the constraint we picked. Looking at $x(m)$ and $y(m)$, we see we require:

\(\displaystyle 8\le m\le40\)

Can you pick another point on the constraint that avoids being on this boundary?
 
  • #5
I tried at

\(\displaystyle y = 0\)

\(\displaystyle U(\frac{m}{6}, 0 )\)

ends at

\(\displaystyle {(m-8)}^{2}\) (So on boundary)

Also tried

\(\displaystyle x = 2\)

\(\displaystyle U(2, \frac{m-12}{10})\)

ends at

\(\displaystyle {-95m}^{2}-1536m-6080\)

both outside of the boundary?
 
  • #6
Okay, if we let $x=2$, then we have:

\(\displaystyle y=\frac{m-12}{10}\)

And we find:

\(\displaystyle U\left(2,\frac{m-12}{10}\right)=\left(2+\frac{m-12}{10}\right)\left(\frac{m-12}{10}+2\right)=\frac{(m+8)^2}{100}\)

And so we require:

\(\displaystyle \frac{(m+8)^2}{96}>\frac{(m+8)^2}{100}\)

This obviously holds for all $0<m$, and so we can state:

\(\displaystyle U_{\max}=\frac{(m+8)^2}{96}\) where $8\le m\le40$.
 
  • #7
Thank you for the help!
 

FAQ: What values of m maximize the utility function for a consumer buying two goods?

What is a utility function?

A utility function is a mathematical representation of an individual's preferences over different options. It assigns a numerical value to each possible outcome, representing the individual's level of satisfaction or happiness with that outcome.

How is a utility function used?

A utility function is used to help individuals or organizations make decisions by quantifying their preferences. It can be used to compare different choices and determine which one would result in the highest level of satisfaction or utility.

Can a utility function be maximized?

Yes, a utility function can be maximized by choosing the option that results in the highest level of utility. This is often the goal in decision-making, as it represents the best possible outcome for the individual or organization.

What factors can affect a utility function?

A utility function can be affected by a variety of factors, including personal preferences, cultural norms, and external influences. It can also change over time as an individual's priorities and values shift.

Are there any limitations to using a utility function?

While utility functions can be a useful tool in decision-making, they do have some limitations. They rely on the assumption that individuals are rational and consistent in their decision-making, which may not always be the case. Additionally, they may not accurately capture all aspects of an individual's preferences and values.

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