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The demand for \( q \) units of a product depends on the price \( p \) (in dollars) according to \( q=\frac{256}{\sqrt{p}}-1 \), for \( p>0 \). Find and explain the meaning of the instantaneous rate of change of demand with respect to price when the price is as follows. (a) \( \$ 16 \) 1.1378 Interpret the instantaneous rate of change. If price increases by \( \$ 1 \), the demand will drop by the absolute value of this number of units. If price decreases by the absolute value of this amount, the demand will drop by 1 unit. If price decreases by \( \$ 1 \), the demand will drop by the absolute value of this number of units. If price increases by \( \$ 1 \), the demand will increase by the absolute value of this number of units. (b) 64 Interpret the instantaneous rate of change. If price increases by \( \$ 1 \), the demand will drop by the absolute value of this number of units. If price increases by the absolute value of this amount, the demand will drop by 1 unit. If price decreases by the absolute value of this amount, the demand will drop by 1 unit. If price decreases by \( \$ 1 \), the demand will drop by the absolute value of this number of units. If price increases by \( \$ 1 \), the demand will increase by the absolute value of this number of units. (b)

Ask by Tyler Savage. in the United States
Feb 03,2025

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Answer

When the price is \$16, increasing the price by \$1 decreases demand by 2 units. When the price is \$64, increasing the price by \$1 decreases demand by 0.25 units.

Solution

To find the instantaneous rate of change of demand with respect to price, we need to calculate the derivative of the demand function \( q \) with respect to the price \( p \). The demand function is given by: \[ q = \frac{256}{\sqrt{p}} - 1 \] ### Step 1: Differentiate the Demand Function We will differentiate \( q \) with respect to \( p \): \[ \frac{dq}{dp} = \frac{d}{dp} \left( \frac{256}{\sqrt{p}} - 1 \right) \] Using the power rule and the chain rule, we can rewrite \( \frac{256}{\sqrt{p}} \) as \( 256p^{-1/2} \): \[ \frac{dq}{dp} = 256 \cdot \left(-\frac{1}{2} p^{-3/2}\right) = -\frac{128}{p^{3/2}} \] ### Step 2: Evaluate the Derivative at Given Prices Now we will evaluate the derivative at the specified prices. #### (a) For \( p = 16 \): \[ \frac{dq}{dp} \bigg|_{p=16} = -\frac{128}{16^{3/2}} \] Calculating \( 16^{3/2} \): \[ 16^{3/2} = (16^{1/2})^3 = 4^3 = 64 \] Thus, \[ \frac{dq}{dp} \bigg|_{p=16} = -\frac{128}{64} = -2 \] **Interpretation**: The instantaneous rate of change of demand with respect to price at \( p = 16 \) is \(-2\). This means that if the price increases by \( \$1 \), the demand will drop by 2 units. Conversely, if the price decreases by \( \$1 \), the demand will increase by 2 units. #### (b) For \( p = 64 \): \[ \frac{dq}{dp} \bigg|_{p=64} = -\frac{128}{64^{3/2}} \] Calculating \( 64^{3/2} \): \[ 64^{3/2} = (64^{1/2})^3 = 8^3 = 512 \] Thus, \[ \frac{dq}{dp} \bigg|_{p=64} = -\frac{128}{512} = -\frac{1}{4} \] **Interpretation**: The instantaneous rate of change of demand with respect to price at \( p = 64 \) is \(-\frac{1}{4}\). This means that if the price increases by \( \$1 \), the demand will drop by \( \frac{1}{4} \) units. Conversely, if the price decreases by \( \$1 \), the demand will increase by \( \frac{1}{4} \) units. ### Summary of Interpretations: - For \( p = 16 \): If price increases by \( \$1 \), demand drops by 2 units. - For \( p = 64 \): If price increases by \( \$1 \), demand drops by \( \frac{1}{4} \) units.

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Mind Expander

Did you know that the relationship between price and demand is quite old, dating back to the foundations of economics in the 18th century? Adam Smith’s “The Wealth of Nations” first introduced concepts of how price influences consumer behavior. The beauty of demand functions like the one given is they allow businesses to predict how adjustments in pricing might sway the number of units sold! Understanding this relationship can help companies set pricing strategies that maximize sales while still ensuring profitability. Fast forward to today, many companies leverage such mathematical models to optimize their inventory management and pricing strategies. They analyze how price changes will affect demand and adjust their marketing and sales tactics accordingly. For instance, during holiday sales, retailers might reduce prices, knowing that demand will surge, thereby allowing them to sell off their inventory quickly while satisfying customer demand! This model is not just a theoretical exercise—it's vital for making informed business decisions in the real world.

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