Introduction
In economics and business mathematics, the demand function shows the relationship between the price of a product and the quantity demanded. In this problem, we are asked to construct a demand function based on the sales behavior of a businessman. We are given how quantity sold changes with price and need to develop a linear equation connecting these variables.
Given Information
- Initial price per item = Rs. 10
- Initial quantity sold = 2000 items
- For every Re. 0.25 reduction in price, monthly sales increase by 250 items
Step 1: Let Variables
- Let p be the price per item
- Let x be the number of items sold per month
We need to express x in terms of p. This is our demand function: x = f(p)
Step 2: Understand the Relationship
We are told that:
- At price Rs. 10, sales = 2000 items
- Each time the price decreases by Rs. 0.25, sales go up by 250 items
This is a linear relationship. Let’s find the slope first.
Step 3: Use Two Points to Form the Equation
We are given two points on the (p, x) plane:
- Point A: (10, 2000)
- Point B: (9.75, 2250) — since reducing price by Rs. 0.25 increases sales by 250
We will now find the slope (m) of the demand function:
m = (x₂ – x₁)/(p₂ – p₁) = (2250 – 2000)/(9.75 – 10) = 250 / -0.25 = -1000
Step 4: Use Point-Slope Form
We know:
x – x₁ = m(p – p₁)
Using point (10, 2000) and m = -1000:
x – 2000 = -1000(p – 10)
⇒ x = -1000p + 10000 + 2000 = -1000p + 12000
Step 5: Final Demand Function
x = -1000p + 12000
This is the required demand function.
Interpretation
- The negative slope (-1000) means that as price increases, demand decreases — which aligns with the law of demand.
- The constant 12000 is the intercept — the estimated maximum number of items that could be sold at a price of Rs. 0.
Verification
Let’s verify the function for price = Rs. 10:
x = -1000×10 + 12000 = -10000 + 12000 = 2000 ✅
For price = Rs. 9.75:
x = -1000×9.75 + 12000 = -9750 + 12000 = 2250 ✅
Conclusion
The demand function that relates the number of items sold per month (x) to the price per item (p) is:
x = -1000p + 12000
This linear function helps the businessman understand how changes in price affect the number of items sold. It is a valuable tool in pricing strategy and revenue optimization in business mathematics.