Paul Gowens and Francis A. Méndez Mediavilla
August 22, 2015
A Master of Business Administration (MBA) is a graduate degree designed to develop the skills required for careers in management. Among those skills is decision-making. Decision making is often done methodically. A method usually implies the application of logical and mathematical reasoning. Therefore, having a good understanding of mathematics and logic is a valuable asset for any MBA student.
Decision-making often rely on the use of mathematical relationships to represent real-world relationships.
A basic knowledge of algebra will be applied in many courses. The basic concepts of calculus (differential and integral) provide important conceptual foundations for economics, finance, management science and statistics. You will need to understand the basic notions of optimization, rates of change, and areas under curves; for many managerial applications (e.g., marginal costs (rate of change of total cost), total revenue or probability (which are represented by areas under curves), and maximizing benefit or minimizing loss subject to operating constraints (applying optimization principles).
| Operation | Syntax |
|---|---|
| raising \( X \) to power \( n \) | \( X^n \) |
| taking \( n^{th} \) root of \( X \) | \( \sqrt[n]{X} \) or \( X^{\frac{1}{n}} \) |
| multiplication | \( \times \) |
| division | \( \div \) |
| addition | \( + \) |
| subtraction | \( - \) |
An MBA student should know the order of operations as represented in the above chart of the six basic operations.
Do the operations in the top two rows first (i.e., roots and powers).
| Operation | Syntax |
|---|---|
| raising \( X \) to power \( n \) | \( X^n \) |
| taking \( n^{th} \) root of \( X \) | \( \sqrt[n]{X} \) or \( X^{\frac{1}{n}} \) |
| multiplication | \( \times \) |
| division | \( \div \) |
| addition | \( + \) |
| subtraction | \( - \) |
Do the operations in third and fourth rows next (i.e., division and multiplication).
Finally, do the operations in the last two rows (i.e., addition and subtraction).
| Operation | Syntax |
|---|---|
| raising \( X \) to power \( n \) | \( X^n \) |
| taking \( n^{th} \) root of \( X \) | \( \sqrt[n]{X} \) or \( X^{\frac{1}{n}} \) |
| multiplication | \( \times \) |
| division | \( \div \) |
| addition | \( + \) |
| subtraction | \( - \) |
Always simplify from left to right.
If you run across two power/root operation work them in the order in which you encounter them, from left to right.
If you run across two multiplication/division operation work them in the order in which you encounter them, from left to right.
If you run across two addition/subtraction operation work them in the order in which you encounter them, from left to right.
Sample problems:
Simplify: \( 6-5[4-3^2(2-X)] \)
answer: \( 76-45X \)
Sample problem illustrating that parentheses affect the order of operations:
Say that $ X = 4$
\[ 6-5[4-3^2(2-X)]=-104 \]
\[ 6-5[4-3^2\times2-X]=96 \]
\[ 6-5\times4-3^2\times2-X=-36 \]
X = 4
6-5*(4-3^2*(2-X))
[1] -104
6-5*(4-3^2*2-X)
[1] 96
6-5*4-3^2*2-X
[1] -36
The present value of an ordinary annuity formula is: \( PVA=PMT\left(\frac{1-\frac{1}{(1+i)^n}}{i}\right) \) Suppose you win a lottery that pays $1,000 per year for 20 years and the yearly interest rate is 10%. Using the “order of operations” rules, can determine the present value of your winnings?
Step-by-step solution using R
1000*((1- (1/(1.10)^20))/0.10)
1000*((1- (1/(1.10)^20))/0.10)
1000*((1- (1/6.7275))/0.10)
1000*((1- 0.1486436)/0.10)
1000*(0.8513564/0.10)
1000*8.513564
[1] 8513.564
Using a pre-programmed function (R)
library(tvm) # or use programming functions
npv(i=.10,cf=rep(1000,20),ts=1:20)
[1] 8513.564
\[ a + b = b + a \]
\[ 1 \times a = a \]
\[ (a + b) + c = a + (b + c) \]
\[ {aa}^{-1} = 1 \text{ for } a \ne 0 \]
\[ a + 0 = a \]
\[ (-a)(b) = a(-b) = -ab \]
\[ a + (-0) = a \]
\[ (-a)(-b) = ab \]
\[ (ab)c = a(bc) \]
\[ a(b + c) = ab + ac \]
\[ ab = ba \]
\[ (a + b)c = ac + bc \]
In the expression, \( (-2WX^2Y^4)^3 \), the \( 3^{rd} \) power can be distributed over the factors that are being multiplied inside the parentheses, giving: \( (-2)^3(W)^3(X^2)^3(Y^4)^3 \). In simplest form, the result is: \( -8W^3X^6Y^{12} \)
In \( (X + Y)^2 \), the \( 2^{nd} \) power cannot be distributed over the terms that are being added inside the parentheses. In other words, \( (X + Y)^2 \ne X^2 + Y^2 \). The terms in parentheses can be squared as follows:
\[ (X + Y)^2 = (X + Y)(X + Y) \].
The solution, \( X^2 + 2XY + Y^2 \), is found by multiplying the first term in the first set of parentheses by the first term and then the second term in the second set of parentheses, and then the second term in the first set of parentheses is multiplied times the first term and the second term in the second set of parentheses as follows.
\[ (X+Y)^2 = (X+Y)(X+Y) \] \[ = X \times X + X \times Y + X \times Y + Y \times Y \] \[ = X^2 + 2XY + Y^2 \]
A negative fraction (i.e., minus two-thirds) can be written three different ways,\( -\frac{2}{3} \), \( \frac{-2}{3} \) or \( \frac{2}{-3} \).
Example Problem: \( \sqrt[5]{32^3}=32^{3/5}=8 \). Note: The \( 5^{th} \) root of 32 is 2 and 2 raised to the \( 3^{rd} \) power is 8.
An expression is a collection of letters, numbers, and operations. Some expressions can be simplified and some cannot. An expression can be multiplied only by the number 1, because multiplying by the number 1 doesn’t change the value of the expression.
In contrast, an equation consists of two expressions with an equal sign between them. An equation is a complete sentence, with the equal sign serving as the verb, that makes a claim—the expression on the left side of the equal sign has the same value as the expression on the right side of the equal sign. You can do things to an equation that you can’t do to an expression. For example, you can multiply both sides of an equation by 5, or 1, or divide both sides of the equation by 2 or 3. You may also be able to solve an equation, which means finding all values of the variables that, when individually substituted back into the equation, produce a true statement.
You are asked to simplify a complicated algebraic expression. After much work you correctly simplify it to \( \frac{x^3}{5}+ 2X^2 + 9X \). Then in an effort to further simplify, you multiply the expression by 5 to eliminate fractions so that you have : \( X^3 + 10X^2 + 45X \). Are you correct in doing this?
Using the letters “X” and “Y”, write an expression that represents “the square root of the sum of the squares of the two quantities.”
You are asked to simplify a complicated algebraic expression. After much work you correctly simplify it to \( 3X – 6 \). You then express your final answer as \( X = 2 \). Are you correct in doing this?
Answer: No. It isn incorrect to set the expression equal to zero and solve. An expression can’t be solved. Only an equation or an inequality can be solved. The correct simplification of the expression stops with \( 3X – 6 \).
Using the letter “X”, write an expression that represents “eight less than one-half a number.”
After working through a complicated algebraic equation, you get to a point where you have the following: \( \frac{1}{5}Y=\frac{X^3}{5}+2X^2+9X \). Next you decide to multiply both sides of the equation by 5 to eliminate fractions. Can you do this?
In mathematics, everything you write has to be written correctly; there is no room for ambiguity. You must use grouping symbols (parentheses, brackets, braces, etc.) whenever failing to use them would change the meaning of an expression or equation. It’s better to err on the side of using too many grouping symbols rather than using too few.
\[ X + 3 = \frac{4}{X+5} \] \[ (X + 5)(X + 3) = \frac{4}{X+5}(X+5) \] \[ X^2 + 8X + 15 = 4 \] \[ X^2 + 8X + 15-4 = 4 - 4 \] \[ X^2 + 8X + 11 = 0 \]
If you want to show that a negative number is being squared, you must use grouping symbols.
Simplify \( 48X^2Y^0 \) .
Simplify \( (48X^2Y)^0 \) .
Let X be cost in US dollars. If you are given n=3 values of X: \( X_1=10 \), \( X_2=30 \) and \( X_3=5 \), then:
\[ \sum \limits_{i=1}^{n=3} X_i \]
\[ \sum \limits_{i=1}^n X_i = X_1+X_2+X_3=10+30+5 \]
\[ \frac{0}{\text{non-zero}}=0 \]
\[ \frac{\text{non-zero}}{0} \text{ undefined } \]
\[ \frac{0}{0} \text{ is undefined} \]
We take as a definition:
Some equations can be solved easily. Consider, for example, the equation \( 3X + 10 = 28 \). This is a simplistic equation that could be solved by asking ourselves, “What must be added to 10 to get 28?”
In more complicated cases, we need a more systematic procedure for solving equations. Two equations that have exactly the same solution are called equivalent. The main principle to remember is the Golden Rule of mathematics — whatever thou doest unto the left side of the equation, thou must also do unto the right side of the equation. These action include, but are not limited to, the following:
Examples:
\( 3X + 10 = X + 4 \)
\( 3X + 10-10 = X + 4-10 \) [subtract 10 from both sides of equation]
\( 3X = X-6 \)
\( 3X-X = X-X-6 \) [subtract X from both sides of equation]
\( 2X = -6 \)
\( \frac{2X}{2} = \frac{-6}{2} \) [divide both sides of equation by 2]
\( X = -3 \)
Note that the equation in the first paragraph of this section could have been solved using the same principles.
\( 3X + 10 = 28 \)
\( 3X + 10 - 10 = 28 - 10 \text{ [subtract 10 from both sides of equation]} \)
\( 3X = 18 \)
\( \frac{3X}{3} = \frac{18}{3} \text{ [divide both sides of equation by 3]} \)
\( X = 6 \)
Quadratic equations are even more complex. Suppose we encounter the equation \( 12X^2-16X-3 = 0 \). We could try to find the values of X that satisfy the equation by trial and error. However, it would not be easy to find the solutions which are \( X = \frac{3}{2} \) and \( X = -\frac{1}{6} \). Assuming the equation cannot be factored (more about that later), or at least we don't recognize the factors, then we can substitute into the general quadratic formula:\( x=\frac{-b\pm\sqrt{b^2-4ac}}{2a} \), where “a” is the coefficient of the squared term, “b” is the coefficient of the linear term, and “c” is the constant to determine the two values of X (i.e., \( X = \frac{3}{2} \) and \( X = -\frac{1}{6} \)).
Sometimes we have two equations with two unknowns (or three equations with three unknowns, and so on). These types of equations can be solved simultaneously by substitution of by using the Gauss-Jordan reduction method. Suppose we have the following two equations in two unknowns.
\[ 2X + 3Y = 18 \]
\[ 3X-4Y = -7 \]
We could solve the first equation for X by subtracting \( 3Y \) from both sides of the equation and then dividing both sides of the equation by 2 as follows.
\[ 2X + 3Y = 18 \]
\[ 2X + 3Y-3Y = 18-3Y \]
\[ 2X = 18-3Y \]
\[ \frac{2X}{2} = \frac{18}{2}-\frac{3Y}{2} \]
\[ X = 9-\frac{3}{2}Y \]
Next we can substitute this value of X for \( X \) in the second equation.
\[ 3X-4Y = -7 \]
\[ 3[9-\frac{3}{2}Y]-4Y = -7 \]
\[ 27-\frac{9}{2}Y-4Y = -7 \]
\[ 2[27-\frac{9}{2}Y-4Y] = 2(-7) \]
\[ 54 - 9Y - 8Y = -14 \]
\[ 54 - 17Y = -14 \]
\[ 54 - 54 - 17Y = -14 - 54 \]
\[ -17Y = -68 \]
\[ \frac{-17Y}{-17} = \frac{-68}{-17} \]
\[ Y = 4 \]
Now we can substitute \( Y = 4 \) into either of the equations to solve for X.
\[ 2X + 3Y = 18 \]
\[ 2X + 3(4) = 18 \]
\[ 2X + 12 = 18 \]
\[ 2X + 12-12 = 18-12 \]
\[ 2X = 6 \]
\[ \frac{2X}{2} = \frac{6}{2} \]
\[ X = 3 \]
Or, alternatively…
\[ 3X-4Y = -7 \]
\[ 3X - 4(4) = -7 \]
\[ 3X - 16 = -7 \]
\[ 3X - 16 + 16 = -7 + 16 \]
\[ 3X = 9 \]
\[ \frac{3X}{3} = \frac{9}{3} \]
\[ X = 3 \]
Example: \( \frac{-5}{2X+3}=\frac{6}{7X-1} \)
\( \frac{-5}{2X+3}=\frac{6}{7X-1}\\ \) \( -5(7X-1) = 6(2X + 3) \text{ [Cross multiply]} \) \( -35X + 5 = 12X + 18 \)
\( -35X + 5-5 = 12X + 18-5 \) \( -35X = 12X + 13 \)
\( -35X - 12X = 12X - 12X + 13 \)
\( -47X = 13 \)
\( \frac{-47X}{-47X} = \frac{13}{-47} \)
\( X = -\frac{13}{47} \)
Solve for X in the equation: \( aX + 3Y = X + 7 \)
Answer: First, get all the X terms on the left side of the equation and all the other terms on the right side of the equation.
\( aX + 3Y = X + 7 \)
\( aX - X + 3Y = X - X + 7 \)
\( aX - X + 3Y - 3Y = 7 - 3Y \)
\( aX - X = 7 - 3Y \)
\( X(a - 1) = 7 - 3Y \)
\( \frac{X(a-1)}{(a-1)} = \frac{(7 - 3Y)}{(a-1)} \)
\( X = \frac{(7 - 3Y)}{(a-1)} \)
Solve the equation \( 5X^2 - 3X = 4 \)
Answer:
\( 5X^2 - 3X - 4 = 4 - 4 \)
\( 5X^2-3X-4 = 0 \)
This equation cannot be factored; therefore, substitute coefficients into general quadratic formula where coefficient of squared term is “a”, coefficient of linear term is “b”, and constant is “c”.
\( x=\frac{-b\pm\sqrt{b^2-4ac}}{2a} \)
\( x=\frac{-(-3)\pm\sqrt{(-3)^2-4(5)(-4)}}{2(5)} \)
\( x=\frac{3\pm\sqrt{9+80}}{10} \)
\( x=\frac{3\pm\sqrt{89}}{10} \)
Alternatively, we could have created linear combinations of the two equations to eliminate one of the variables. This procedure is usually best if the solutions may involve fractions or decimals. Let’s identify the two equations as equation I and equation II as follows.
\[ \text{[I] } 2X + 3Y = 18 \]
\[ \text{[II] } 3X-4Y = -7 \]
If we multiply the first equation by 4 and the second equation by 3 then we will have \( 12Y \) in the first equation and \( -12Y \) in the second equation. By adding the two equations the Y’s would add out.
\[ \text{ 4(I) } \rightarrow 8X + 12Y = 72 \]
\[ \text{+ 3(II) } \rightarrow 9X-12Y = -21 \] \[ --------------------- \] \[ 17X = 51 \]
\[ 17\frac{X}{17} = \frac{51}{17} \]
\[ X = 3 \]
Substitute \( X = 3 \) into either of the equations to obtain the value of Y.
\[ 2X + 3Y = 18 \]
\[ 2(3) + 3Y = 18 \]
\[ 6 + 3Y = 18 \]
\[ 6-6 + 3Y = 18-6 \]
\[ 3Y = 12 \]
\[ \frac{3Y}{3} = \frac{12}{3} \]
\[ Y = 4 \]
OR
\[ 3X-4Y = -7 \]
\[ 3(3)-4Y = -7 \]
\[ 9-4Y = -7 \]
\[ 9-9-4Y = -7-9 \]
\[ -4Y = -16 \]
\[ \frac{-4Y}{-4} = \frac{-16}{-4} \]
\[ Y = 4 \]
In the general form of a straight line, \( Y = a + bX \), is frequently referred Y to as the slope-intercept form of a straight line because the constant, a, is the vertical axis intercept of the straight line and the coefficient, b, is the slope of the line where slope is defined as: \( Slope = \frac{(\text{vert} \Delta)}{(\text{horz} \Delta)} \).
You may also see slope described as “rise divided by run” or by “\( \frac{\Delta Y}{\Delta X}. \)” So, in the equation, \( Y = 5-\frac{1}{4}X \), the vertical axis intercept is 5 and the \( \frac{1}{4} \) equation has a slope of which means for every 1 unit of vertical change 1 there are 4 units of horizontal change. The line is graphed to the right.
Given a linear equation, the vertical axis intercept can be found by substituting 0 for X in the equation since at \( X=0 \) is where the line crosses the vertical axis. The horizontal axis intercept can be found by substituting 0 for Y in the equation and solving for X since at \( Y=0 \) is where the line crosses the horizontal axis.
The convention in economics of placing price, the independent variable, on the vertical axis and quantity, the dependent variable on the horizontal axis is generally credited to Alfred Marshall who began this practice in 1890 in Principles of Economics, arguably the most popular book of the times for teaching economics. Of particular note to today’s students who are familiar with seeing demand and supply diagrams in nearly every page of the textbook, the demand and supply diagrams appeared only in footnotes in this forerunner to today’s principles of economics textbooks.
Since the variables are on the wrong axes (i.e., the independent variable is on the vertical axis and the dependent variable is on the horizontal axis), whenever the general form of a straight line equation is used to write the equation of a demand curve, it is referred to as the “inverse” form of the demand curve.
To put the demand curve in “standard” form (i.e., a form where the dependent variable is to the left of the equal sign, the inverse form of the demand equation must be solved for “Q”. Note in the diagram to the right, another convention in economics is to label the axes with letters that identify the variables. So, rather than “X” and “Y”, “P” is used for Price on the vertical axis and “Q” is used for Quantity on the horizontal axis. In this case, using the general form of a straight line, \( P = a + bQ \), to determine the “inverse” form of the demand curve, we have \( P = 5 - \frac{1}{8}Q \). To determine the “standard” form of the demand curve, we must solve for Q as follows.
\[ P = 5 - \frac{1}{8}Q \text{ ["inverse" form of the demand equation]} \] \[ P + \frac{1}{8}Q = 5 - \frac{1}{8}Q + \frac{1}{8}Q \] \[ P + \frac{1}{8}Q = 5 \text{ [subtract P from both sides of the equation]} \]
\[ \frac{1}{8}Q +P-P = 5-P \] \[ \frac{1}{8}Q = 5-P \] \[ 8\frac{1}{8}Q = 8(5-P) \text{ [multiply both sides of the equation by 8]} \]
\[ Q = 40-8P \text{ ["standard" form of the demand equation]} \]
Notice that we began with the “inverse” form of the demand equation in which the independent variable, P, was to the left of the equal sign and we ended with the “standard” form of the demand equation with the dependent variable, Q, on the left side of the equal sign.
Without using a calculator, simplify the following:
Without using a calculator, simplify the following:
For the answers check the pdf document on my webpage
Canceling (reducing) in a fraction is allowable if both the numerator and denominator are in factored form. So-called “partial canceling” is incorrect.
A complex fraction is a fraction that has other fractions in it. You should be able to simplify a complex fraction so that there are no more than two faction “levels” in it. One approach is to multiply the numerator and denominator by the common denominator of all the “little” fractions.
Note: Multiplying by \( \frac{X^2}{X^2} \) is a convenient way of multiplying by 1 which is a permissible operation when working with expressions.
Next, factor the numerator and denominator so that you have \( \frac{X(X+2)}{(X-2)(X+2)} \). Next, cancel \( (X + 2) \) which is a factor in both the numerator and denominator. Finally, the initial expression, is simplest form, is \( \frac{X}{X+2} \).
You should have memorized some special forms and be able to write the results from memory without having to multiply out all the pieces and then simplifying.
\[ X^4-16 \]
\[ (X^2 – 4)(X^2 + 4) \text{ [difference of two squares] } \]
\[ (X-2)(X + 2)(X^2 + 4) \]
\[ (a + b)^2 = a^2 + 2ab + b^2 \]
\[ (a-b)^2 = a^2 - 2ab + b^2 \]
Example: Doing only mental calculations, can you write the results of squaring \( (3X-2Y) \)?
A function, \( y = f(X) \), is a rule that specifies the relationship between two variables, where Y is the dependent variable and X is the independent variable. The set of values from which the independent variable is drawn is called the domain of the function, while the set of values assigned to the dependent variable is called the range. The function \( Y = f(X) \) specifies a unique value in the range of Y for each value in the domain of X. In business applications the domain and the range are usually real-values as opposed to imaginary numbers. For example, variables such as prices, quantities, etc., are non-negative. Thus, the domain and range may be limited to non-negative real numbers.
| Function | Description |
|---|---|
| \( Y = a \) | constant function |
| \( Y = aX \) | linear function |
| \( Y = aX^2 + bX + C \) | quadratic function |
| \( Y = a_0 + a_1X + a_2X^2 + a_3X^3 + ... + a_nX^n \) | polynomial function of degree \( n \) |
| \( Y = ae^x \) | exponential function |
| \( Y = \text{a } ln(X) \) | logarithmic function |
Differential calculus, despite its complex sounding name, is really nothing more than “slope finding.” The slope of a function at a point \( Y_0 = f(X_0) \) is the slope of the line that is tangent to the function \( Y = f(X) \) at the point \( (X_0, Y_0) \). If \( \Delta Y \) and \( \Delta X \) denote the changes in variables Y and X, respectively, then the approximate value of the slope of a function at a point \( (X_0, Y_0) \) is given by:
\[ \frac{\Delta Y}{\Delta X} = \frac{f(X_0+\Delta X)-f(X_0)}{\Delta X} \]
This slope is approximate because a tangent line slope is defined at a single point \( (X_0, Y_0) \), where X and Y are fixed and do not change, whereas the formula allows X and Y to vary away from point \( (X_0, Y_0) \). The degree of discrepancy between a tangent line slope and the slope formula will depend on the size of \( \Delta X \). As \( \Delta X \) becomes smaller, the slope formula and the tangent line slope converge on the same value.
The derivative of a function at a point \( Y_0 = f(X_0) \) is the rate of change, or slope of the tangent line, of \( Y = f(X_0) \) at the point \( (X_0, Y_0) \). The value of the derivative is given by the limit of the slope function, which is denoted either by \( \frac{dY}{dX} \) or by \( f'(X) \). Thus, we have:
\[ \frac{dY}{dX} = \lim_{\Delta X \to 0} \frac{f(X_0+\Delta X)-f(X_0)}{\Delta X} \]
If this limit exists (from both sides), the function is said to be a differentiable function.
| Derivative | Description |
|---|---|
| \( Y = aX^0 \rightarrow \frac{dY}{dX} = 0 \) | constant rule |
| \( Y = aX^b \rightarrow \frac{dY}{dX} = baX^{b-1} \) if \( b\ne 0 \) | Power function rule |
| \( Y = g(X) + h(X) \rightarrow \frac{dY}{dX} = g'(X) + h'(X) \) | Sum-difference rule |
| \( Y = g(X) \times h(X) \rightarrow \frac{dY}{dX} = g'(X) \times h(X) + g(X) \times h'(X) \) | Product Rule |
| \( Y =\frac{g(X)}{h(X)} \rightarrow \frac{dY}{dX} = \frac{g'(X) \times h(X)-g(X) \times h'(X)}{h(X)^2} \) | Quotient rule |
One of the most widely used mathematical tools in economics and business is optimization analysis. For a single-variable function, \( Y = f(X) \), the local maximum or minimum will be found where the first derivative is equal to zero. This is called the first-order condition. First-order conditions are necessary for a local extreme point, but they are not sufficient to indicate whether the extreme point is a minimum or a maximum. To check whether a zero value of a derivative is a maximum or a minimum, we need to check the second-order condition. The second-order condition is the sign of the second derivative of the original function.
\[ \frac{dY}{dX} = 0 \]
\[ \frac{d^2Y}{dX^2} < 0 \]
\[ \frac{dY}{dX} = 0 \]
\[ \frac{d^2Y}{dX^2} > 0 \]
Suppose Fellini's Fabric Shop sells discount material. Its demand and cost functions are \( Q = 40-2P \) and \( TC = 0.5Q^2 \) where \( Q \) is expressed in linear yards and price is in dollars per linear yard. Determine the profit-maximizing quantity and price, and maximum profit.
First, convert the demand function which is in standard form to inverse form by solving for P.
\[ P = 20-0.5Q \]
Second, find total revenue by multiplying price by quantity.
\( TR = P \times Q \)
\( TR = (20-0.5Q)Q \)
\( TR = 20Q-0.5Q^2 \)
Third, find profit by subtracting total cost from total revenue.
\( \pi = TR – TC \)
\( \pi = 20Q – 0.5Q^2 – 0.5Q^2 \)
\( \pi = 20Q – Q^2 \)
Fourth, take the first derivative of the profit function, set it equal to zero, and solve for Q to determine the quantity that maximizes (or minimizes) the function.
\( \pi = 20Q – Q^2 \)
\( \frac{d\pi}{dQ} = 20 – 2Q \)
\( 0 = 20 – 2Q \)
\( 2Q = 20 \)
\( Q = 10 \)
Therefore, 10 is the quantity that maximizes, or minimizes, profit.
Fifth, find the value of the second derivative. If negative, then \( \pi \) is maximum; if positive, \( \pi \) in minimum.
\( \frac{d\pi}{dQ} = 20-2Q \)
\( \frac{d^2\pi}{dQ^2} = -2 \)
Since the second derivative is negative, \( \pi \) is maximum at \( Q = 10 \). What price will Fellini’s charge at the profit maximizing quantity? First, substitute the profit-maximizing quantity into the inverse form of the demand equation to determine the price that Fellini will charge at the profit-maximizing quantity.
\( P = 20-0.5Q \)
\( P = 20-0.5(10) \)
\( P = 20-5 \)
\( P = 15 \)
Therefore, price at the profit-maximizing quantity is $15.
What is Fellini's maximum profit for the specified time period? First, substitute the profit-maximizing quantity into the profit function to determine maximum profit.
\( \pi = 20Q-Q^2 \)
\( \pi = 20(10)-(10)^2 \)
\( \pi = 200-100 \)
\( \pi = 100 \)
Therefore, Fellini's maximum profit for the specified time period is $100.
Suppose Fellini's Fabric Shop, rather than maximizing profits, wants to maximize total revenue. Again, Fellini's demand and cost functions are \( Q = 40 - 2P \) and \( TC = 0.5Q^2 \) where \( Q \) is expressed in linear yards and price is in dollars per linear yard. Determine the total revenue-maximizing quantity, the price that must be charged to sell that quantity. Also, let's determine Fellini’s profits when it maximizes total revenue to see how they compare to profits when Fellini’s is attempting to maximize profits.
First, we are attempting to maximize total revenue, so we only need to begin with the total revenue function from the previous problem.
\( TR = P \times Q \)
\( TR = (20-0.5Q)Q \)
\( TR = 20Q-0.5Q^2 \)
Second, find the first derivative, set it equal to 0, and solve for Q to determine the quantity that maximizes (or minimizes) the function.
\( TR = 20Q - 0.5Q^2 \)
\( \frac{dTR}{dQ} = 20 - Q \)
\( 0 = 20 - Q \)
\( Q = 20 \)
Therefore, 20 is the quantity that maximizes (or minimizes) the function.
Third, let's determine the price that we must charge to be able to sell 20 units of output by substituting the total revenue-maximizing (or minimizing) quantity into the demand function.
\( P = 20 - 0.5Q \)
\( P = 20 - 0.5(20) \)
\( P = 20 - 10 \)
\( P = 10 \)
Note that the price of $10 necessary to maximize (or minimize) total revenue is different from the price of $15 that was charged to maximize profit.
Fourth, substitute \( Q = 20 \) into the total revenue function to determine maximum (or minimum) total revenue.
\( TR = 20Q - 0.5Q^2 \)
\( TR = 20(20) - 0.5(20)^2 \)
\( TR = 400 - 0.5(400) \)
\( TR = 400 - 200 \)
\( TR = 200 \)
Therefore, 200 is either the maximum or minimum value for total revenue.
Fifth, determine the value of the second derivative of the total revenue function. If negative, the function has a maximum value of 200; if positive, the function has a minimum value of 200.
\( TR = 20Q-0.5Q^2 \)
\( \frac{dTR}{dQ} = 20 - Q \)
\( \frac{d^2TR}{dQ^2} = -1 \)
Since the second derivative is negative, the function is maximum.
Sixth, let's determine profit at the total revenue-maximizing quantity to see how it compares to maximum profit. Obviously, since we previously determined the quantity that maximizes profit, and the quantity that maximizes total revenue is a different quantity, we expect the profit to be less.
\( \pi = 20Q-Q^2 \)
\( \pi = 20(20) - (20)^2 \)
\( \pi = 400 - 400 \)
\( \pi = 0 \)
Therefore, profit is 0 at the total revenue-maximizing quantity whereas profit was 100 at the profit-maximizing quantity.
Now, let’s summarize these two examples. First, if the firm attempts to maximize profits, it needs to sell 10 units, and can do so at a price of $15, which will then generate maximum profits of $100. Second, if the firm attempts to maximize total revenue, it needs to sell 20 units, and can do so by charging a price of $10, but the firm will earn $0 profits.
Probability theory is fundamental part of modern statistics. One of the most important notions comes from integral calculus. Integral calculus serves us to compute area under the probability functions, \( f(x) \). This area under the probability function constitutes the probability of an event.
\( P(X=0)=0.10 \), \( P(X=1)=0.20 \), and \( P(X=2)=0.30 \)
then
\( P(0 \le X \le 2)=P(X=0)+P(X=1)+P(X=2)= \) \( \sum_{i=0}^{2} P(X=i) \)
\[ P(X<27 \text{ ounces | } \mu = 24, \sigma =2)=\int_{-\infty}^{27} P(x)dx \]
where,
\[ P(x) = \frac{1}{ \sigma \sqrt{2\pi}} e^{\frac{-\left(x-\mu\right)^2}{2\sigma ^2}} \]
pnorm(27,mean=24, sd=2)
[1] 0.9331928
R Laguage: The software used for the computer-calculated examples shown in the previous text is R. R is an open source language for statistical programming: https://www.r-project.org/.
Maxima & wxMaxima: If you need a symbolic mathematical package, there is an open source package called Maxima. Maxima is a system for the manipulation of symbolic and numerical expressions, including differentiation, integration, Taylor series, Laplace transforms, ordinary differential equations, systems of linear equations, polynomials, sets, lists, vectors, matrices and tensors: http://maxima.sourceforge.net and http://andrejv.github.io/wxmaxima/.