4.3 Solving Equations Involving Root and Power Functions
In this section, we set about solving equations and inequalities involving power functions. Our first example demonstrates the usual sorts of strategies to employ when solving equations.
Example 4.3.1
Example 4.3.1.1
Solve the following equations analytically and verify your answers using a graph.
Solution:
Solve for .
One way to proceed to solve is to use Definition 4.3 to rewrite as either or . We opt for the former given is a perfect cube:
Thus, our solution is .
We verify our answer analytically by substituting into the original equation.
Geometrically, we are looking for where the graph of intersects the graph of . Below are those graphs and we see the intersection point of both graphs is , thereby checking our solution .
Example 4.3.1.2
Solve the following equations analytically and verify your answers using a graph.
Solution:
Solve for .
Proceeding similarly to the above, to solve , we rewrite as and solve:
From we cube both sides of each equation.
Both of and are solutions to the given equation.
In this case we are looking for where the graph of intersects the graph of – i.e., the -intercepts of the graph of . We find these are and , as predicted.
Example 4.3.1.3
Solve the following equations analytically and verify your answers using a graph.
Solution:
Solve for .
, so we may rewrite as . Using Definition 4.3, we then have . One of the square roots is already isolated, thus we can rid ourselves of it by squaring both sides.
We square both sides again and get .
We set each factor equal to zero, using the Zero Product Property to get
When we go to check these answers, we verify is a solution, but is not. Hence, is an `extraneous’ solution.[1]
We graph both and below and confirm there is only one intersection point, .
Example 4.3.1.4
Solve the following equations analytically and verify your answers using a graph.
Solution:
Solve for .
While we could approach solving as the previous example, we would encounter cubing binomials[2] which we would prefer to avoid. Instead, we take a step back and notice there are three terms here with the exponent on one term, exactly twice the exponent on another term, . We have ourselves a `quadratic in disguise.’[3]
To help us see the forest for the trees, we let so that . (Note that root here, , is odd, so we can use the properties of exponents stated in Theorem 4.3.) Hence,
We set each factor equal to zero, using the Zero Product Property
Both of and are solutions to our original equation.
Looking at the graphs of and , we find two intersection points, and as required.
Example 4.3.1.5
Solve the following equations analytically and verify your answers using a graph.
Solution:
Solve for .
Next we are to solve which, when written without negative exponents is:
The rational exponents here are and , both involve an even indexed root (the square root in this case!) which means
Moreover, the resides in the denominator meaning so our equation is really valid only for values of where or
Hence, we clear denominators and can apply Theorem 4.3:
Because , we keep it and, sure enough, it is a solution to our original equation.
Graphically we see intersects at
Example 4.3.1.6
Solve the following equations analytically and verify your answers using a graph.
Solution:
Solve for .
Our last equation to solve is , which, when rewritten without negative exponents is: . Again, the root here () is odd, so we can use the exponent properties listed in Theorem 4.3. We begin by clearing denominators:
So . While not the easiest to check analytically, both of these solutions do work in the original equation.
Graphing and below, we see the graphs intersect when .
Note that in Example 4.3.1, there are several ways to correctly solve each equation, and we endeavored to demonstrate a variety of methods. For example, for number 1, instead of converting to a radical equation, we could use Theorem 4.3. The root here () is even, thus we know or . Hence we may apply exponent properties:
from which we get . If we try this same approach to solve number 2, however, we encounter difficulty. From , we get .
Given the root here () is odd, we have no restriction on but the exponent has an even denominator. Hence, Theorem 4.3 does not apply. That is,
Note that if we weren’t careful, we’d have which gives only. We’d have missed the solution . Truth be told, you can simplify – just not using Theorem 4.3. We leave it as an exercise to show and, more generally, .
Our next example is an application of the Cobb Douglas production model of an economy. The Cobb-Douglas model states that the yearly total dollar value of the production output in an economy is a function of two variables: labor (the total number of hours worked in a year) and capital (the total dollar value of the physical goods required for manufacturing.) The equation relating the production output level , labor and capital takes the form where ; that is, the production level varies jointly with some power of the labor and capital.
Example 4.3.2
Example 4.3.2.1
In their original paper A Theory of Production[4] Cobb and Douglas modeled the output of the US Economy (using 1899 as a baseline) using the formula
where , , and were percentages of the 1899 figures for total production, labor, and capital, respectively.
For 1910, the recorded labor and capital figures for the US Economy are 144% and 208% of the 1899 figures, respectively. Compute using these figures and interpret your answer.
Solution:
For 1910, the recorded labor and capital figures for the US Economy are 144% and 208% of the 1899 figures, respectively. Compute using these figures and interpret your answer.
In this case,
which means the dollar value of the total US Production in 1920 was approximately 159% of what it was in 1899.[5]
Example 4.3.2.2
In their original paper A Theory of Production[6] Cobb and Douglas modeled the output of the US Economy (using 1899 as a baseline) using the formula
where , , and were percentages of the 1899 figures for total production, labor, and capital, respectively.
The recorded production value figure for 1920 is 231% of the 1899 figure. Use this to write as a function of , . Compute and interpret .
Solution:
The recorded production value figure for 1920 is of the 1899 figure. Use this to write as a function of , . Compute and interpret .
We are given , so to write as a function of , we need to solve this equation for . and are positive by definition, so we can employ properties of exponents:
Hence, where .
We find
meaning that in order to maintain a production level of 231% of 1889 with a labor level at 193% of 1889, the required capital is that of 1889.[7]
Example 4.3.2.3
In their original paper A Theory of Production[8] Cobb and Douglas modeled the output of the US Economy (using 1899 as a baseline) using the formula
where , , and were percentages of the 1899 figures for total production, labor, and capital, respectively.
Graph and interpret the behavior as and .
Solution:
Graph and interpret the behavior as and
The function is a Laurent Monomial (see Section 3.2) with and .
As such, as , . This means that in order to maintain the given production level, as the available labor diminishes, the capital requirement become unbounded.
As , we have meaning that as the available labor increases, the need for capital diminishes.
The graph of is called an `isoquant’ – meaning `same quantity.’ In this context, the graph displays all combinations of labor and capital, which result in the same production level, in this case, of what was produced in 1889.
4.3.1 Section Exercises
In Exercises 1 – 14, solve the equation.
- The Cobb-Douglas production model[9] for the country of Sasquatchia is . Here, represents the country’s production (measured in thousands of Bigfoot Bullion), represents the total labor (measured in thousands of hours) and represents the total investment in capital (measured in Bigfoot Bullion.) Let and solve for as a function of . If , what is ? Interpret each of the quantities in this case.
Section 4.3 Exercise Answers can be found in the Appendix … Coming soon
- We invite the reader to see at which point in our machinations does check. Knowing a solution is extraneous is one thing; understanding how it came about is another. ↵
- that is, expanding things like . ↵
- See Section 0.5.5. ↵
- available here. ↵
- This answer is remarkably accurate. Note: all the dollar values here are recorded in `1880' dollars, per the source article. ↵
- available here. ↵
- The actual recorded figure is 407. ↵
- available here. ↵
- See Example 4.3.2 for more details on these sorts of models. ↵