Why Write Demand in Inverse Form?
A demand equation is often written to calculate quantity from price. But a question may instead specify a quantity and ask for the price associated with it. In that case, rearranging the equation to make price the subject is direct and useful. The resulting equation is called inverse demand.
For an actuarial candidate, the key skill is not just moving symbols across an equals sign. It is also checking that the price and quantity use the units stated in the problem, and that the answer lies in a range where the model describes nonnegative prices and quantities. This tutorial develops that method for a linear demand equation. The material is aligned with the SOA VEE Economics (Validation by Educational Experience) syllabus.
Rearranging a Linear Demand Equation
Let \(P\) denote price per unit and \(Q\) denote quantity demanded per stated period. Consider the linear model
Here \(\alpha\) and \(\beta\) are fixed parameters for the demand relationship being used. The equation says that each one-unit increase in price is associated with a decrease of \(\beta\) units in quantity, as long as the linear model is being applied. To recover price from quantity, isolate \(P\):
This form shows explicitly how to calculate the price associated with a given quantity. The coefficient on \(Q\) is negative, so a higher specified quantity corresponds to a lower price in this model. The rearrangement works because \(\beta>0\), so division by \(\beta\) is defined and does not reverse any inequalities.
The units provide a useful check. If \(Q\) is measured in boxes per week and \(P\) in dollars per box, then \(\beta\) must have units of boxes per week per dollar per box. The ratio \((\alpha-Q)/\beta\) therefore has units of dollars per box. Always convert a stated quantity into the units used in the equation before substituting it.
Worked Example: Recovering Price From a Weekly Quantity
A hypothetical supplier uses the demand equation \(Q=120-4P\), where \(Q\) is the number of units demanded per week and \(P\) is the price in dollars per unit. Find the price associated with 68 units per week, and check the result.
Method. Rearrange the equation to solve for \(P\), rather than substituting the specified quantity into the original equation and treating the result as a price.
Starting with \(Q=120-4P\), move the price term to the left and the quantity term to the right:
Substitute \(Q=68\):
The associated price is $13 per unit. Check it in the original equation: \(Q=120-4(13)=120-52=68\) units per week, as required. Since \(120>0\) and the quantity is between 0 and 120, this price and quantity also fall within the model’s nonnegative range described below.
Common mistake avoided: The number 68 is a quantity, not a price. Substituting it into the original equation gives a quantity calculation only if it is used as a price; it does not answer the question.
Feasibility and the Model’s Range
An algebraic answer is not automatically an economically feasible price. A price and quantity are commonly required to be nonnegative. The feasible range depends on the value of \(\alpha\), so it is important not to assume that every linear equation has a positive-price, positive-quantity segment.
If \(\alpha>0\), setting \(Q=0\) gives the price \(P=\alpha/\beta\). Setting \(P=0\) gives \(Q=\alpha\). Thus, within this linear equation, both price and quantity are nonnegative exactly on the segment
If \(\alpha=0\), the only point with both \(P\geq0\) and \(Q\geq0\) is \(P=Q=0\). If \(\alpha<0\), there is no point with both \(P\geq0\) and \(Q\geq0\): for any \(P\geq0\), \(Q=\alpha-\beta P<0\). Therefore, the interval above must only be used under its stated condition \(\alpha>0\). A negative inverse-demand price can be an algebraic result, but it is outside the usual nonnegative-price interpretation of the model.
Some applications define quantity to be zero once price is above the point where the linear expression reaches zero. That convention creates a piecewise model: the linear equation applies only on its specified segment, and quantity is set to zero beyond it. Unless the problem states such a convention, do not silently extend or modify the equation. Use the equation and domain given in the problem.
Worked Example: Checking the Feasible Range
A hypothetical demand model is \(Q=210-7P\), where \(Q\) is cartons per week and \(P\) is dollars per carton. Find the price associated with 84 cartons per week, then identify the feasible range and verify the answer.
Step 1: Rearrange. From \(Q=210-7P\), obtain \(7P=210-Q\), so
Step 2: Substitute the specified quantity.
The price is $18 per carton. Here \(\alpha=210>0\) and \(\beta=7\), so nonnegative prices and quantities occur for \(0\leq P\leq210/7=30\), equivalently \(0\leq Q\leq210\). The requested quantity of 84 is in that range, and the calculated price of 18 is also in its corresponding price range.
Step 3: Check in the original equation. \(Q=210-7(18)=210-126=84\) cartons per week. The substitution reproduces the specified quantity.
Common mistake avoided: Checking only that the algebra works is not enough if the answer falls outside the model’s nonnegative range. Here both the quantity and the calculated price are feasible under the stated linear model.
Units Must Match the Equation
Demand equations may measure quantity in units, dozens, hundreds, or another stated scale. If a problem gives a quantity in a different scale, convert it before solving. The numerical value of \(Q\) in the equation is not necessarily the number of physical items.
Worked Example: Converting Quantity Units Before Solving
A hypothetical demand equation is \(Q=50-2P\), where \(Q\) is measured in hundreds of packages per week and \(P\) is dollars per package. What price is associated with 1,800 packages per week?
Step 1: Convert to the equation’s quantity units. Since \(Q\) is in hundreds of packages, 1,800 packages correspond to
Step 2: Rearrange and substitute. From \(Q=50-2P\), \(2P=50-Q\), so \(P=(50-Q)/2\). With \(Q=18\),
The price is $16 per package. Check: at that price, \(Q=50-2(16)=50-32=18\) hundreds of packages, which is \(18\times100=1{,}800\) packages per week. Since \(\alpha=50>0\), the feasible range is \(0\leq Q\leq50\) hundreds; the specified 18 is within it.
Common mistake avoided: Substituting 1,800 directly for \(Q\) would mix packages with hundreds of packages. The resulting calculation would not have a meaningful interpretation in this equation.
Why the Inverse Equation Works
The inverse-demand formula is a rearrangement, so its justification follows directly from the original equation. Starting with \(Q=\alpha-\beta P\), add \(\beta P\) to both sides and subtract \(Q\) from both sides. This gives \(\beta P=\alpha-Q\). Because \(\beta>0\), divide both sides by \(\beta\) to get \(P=(\alpha-Q)/\beta\). Substituting this expression back into the original equation confirms that it recovers the specified quantity:
This check establishes that the rearranged expression returns a price whose original-equation quantity is exactly \(Q\). It does not, by itself, establish that the price or quantity is feasible; that still depends on the parameters and the domain of the model.
Common Exam Traps
A frequent error is to swap the labels \(P\) and \(Q\) without solving the equation. For example, from \(Q=90-3P\), it is incorrect to write \(P=90-3Q\). The correct rearrangement is
At \(Q=30\), this gives \(P=(90-30)/3=60/3=20\). Checking in the original equation gives \(Q=90-3(20)=30\). The incorrect swapped expression would give \(P=90-3(30)=0\), which fails the check: \(90-3(0)=90\), not 30.
- Do not treat quantity as price. Keep the variable meanings attached to their symbols throughout the calculation.
- Do not ignore units. Convert the specified quantity to the units used in the demand equation before substituting.
- Do not assume a feasible range without checking \(\alpha\). The usual nonnegative segment \(0\leq Q\leq\alpha\) requires \(\alpha>0\).
- Do not stop after algebra. Substitute the calculated price into the original equation and verify that it yields the requested quantity.
Inverse demand is useful whenever a quantity is specified and the associated price is sought. The answer is a price implied by the stated model and its conditions; it is not automatically an observed market price or a claim about a particular supplier or customer.
Check Your Understanding
For each problem, rearrange the equation, keep the units consistent, and check whether the result is feasible under the stated linear model.
- A hypothetical demand equation is \(Q=96-4P\), with \(Q\) in units per day and \(P\) in dollars per unit. Find the price associated with 44 units per day. (Answer: $13 per unit.)
- A demand equation is \(Q=250-10P\), with quantity measured in cases per month and price in dollars per case. Find the price associated with 170 cases per month. (Answer: $8 per case.)
- A demand equation is \(Q=72-1.5P\), with \(Q\) in kilograms per week and \(P\) in dollars per kilogram. Find the price associated with 30 kilograms per week and verify that the requested quantity is within the nonnegative range. (Answer: $28 per kilogram; the feasible quantity range is 0 to 72 kilograms per week.)
- A hypothetical equation is \(Q=84-3P\), where \(Q\) is measured in dozens of items per week. Find the price associated with 360 items per week. (Answer: $18 per item.)
- A model is \(Q=40-5P\), with nonnegative price and quantity. State the feasible ranges, then decide whether \(Q=50\) has a feasible nonnegative price in this model. (Answer: \(0\leq P\leq8\), \(0\leq Q\leq40\); no, \(Q=50\) is outside the feasible range.)