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Finding the Equilibrium Point In Exercises \(45-48\) , find the equilibrium point of the demand and supply equations. $$ \begin{array}{ll}{\text { Demand }} & {\text { Supply }} \\ {p=140-0.00002 x} & {p=80+0.00001 x}\end{array} $$

Short Answer

Expert verified
The equilibrium quantity, x, is 2,000,000 and the equilibrium price, p, is 100.

Step by step solution

01

Set the Demand and Supply Equations Equal

Start this exercise by setting the demand and supply equations equal to each other, because at equilibrium the price from the demand function, \(p=140-0.00002x\), is equal to the price from the supply function, \(p=80+0.00001x\). So, we get \(140-0.00002x = 80+0.00001x\).
02

Simplify the Equation

Next, simplify the equation by adding \(0.00002x\) to both sides and subtracting 80 from both sides to get all x terms on one side and constants on the other. This results in \(0.00003x = 60\).
03

Solve for x

Finally, divide both sides by 0.00003 to solve for the quantity x. This gives the equilibrium quantity as \(x = 60 / 0.00003\).
04

Solve for p

Substitute the value of x into either the demand equation or the supply equation to get the equilibrium price p. For instance, using the demand equation results in \(p = 140-0.00002*60/0.00003\).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Demand Equation
The demand equation in economics helps us understand the relationship between the price of a product and the quantity demanded by consumers. It usually shows that as prices decrease, the quantity demanded increases, reflecting consumer willingness to buy more when items cost less. In this exercise, the demand equation is given by \( p = 140 - 0.00002x \), where \( p \) is the price and \( x \) is the quantity demanded. This is a linear equation with a negative slope, meaning the demand decreases as price increases. The minus sign before \( 0.00002x \) suggests a decrease in price results in an increase in demand. Understanding the structure of this equation is crucial for predicting how changes in price affect consumer behavior.
Supply Equation
The supply equation depicts the relationship between the price of a product and the quantity that producers are willing and able to supply. Typically, as prices increase, the quantity supplied also increases, reflecting producers' readiness to sell more at higher prices. In our exercise, we have the supply equation \( p = 80 + 0.00001x \). Here, \( p \) denotes price, and \( x \) represents the quantity supplied. The positive slope of \( 0.00001x \) indicates that as the price goes up, so does the supply. This equation helps sellers and businesses anticipate how their supply will change with variations in market price. A solid grasp of this equation's implications assists in making informed production and pricing decisions.
Linear Equations
Linear equations are a fundamental concept in algebra that describe a straight-line relationship between two variables. Both our demand and supply equations are linear, meaning they can be graphically represented as straight lines. A linear equation is typically in the form \( y = mx + b \) where \( m \) is the slope, and \( b \) is the y-intercept. For the demand equation \( p = 140 - 0.00002x \), the slope is \(-0.00002\), and the intercept is 140. For the supply equation \( p = 80 + 0.00001x \), the slope is \(0.00001\), and the intercept is 80. The slope dictates the steepness and direction of the line, while the intercept determines where the line crosses the vertical axis. Understanding these helps to predict changes and intersections which are key to finding equilibrium.
Price Equilibrium
Price equilibrium is a vital concept in economics where the quantity demanded by consumers equals the quantity supplied by producers. This equilibrium point is where the demand and supply curves intersect. In this exercise, the equilibrium price is found by setting the demand equation equal to the supply equation, \( 140 - 0.00002x = 80 + 0.00001x \), and solving for \( x \). This represents the market-clearing price, meaning there is no excess supply or demand. Price equilibrium helps stabilize markets, ensuring that the goods produced are exactly what consumers want to buy, at given prices. It's the point where neither a surplus nor a shortage exists.
Mathematical Solution Steps
Solving for the equilibrium involves a simple linear equation calculation, starting by equating the demand and supply equations. The first step is performing operations to collect like terms: \( 140 - 0.00002x = 80 + 0.00001x \). Simplify to \( 0.00003x = 60 \) by adding \( 0.00002x \) to both sides and subtracting 80 from both. Next, solve for \( x \) by dividing both sides by \( 0.00003 \), resulting in the equilibrium quantity. Substituting \( x \) back into either the demand or supply equation will yield the equilibrium price. These steps simplify complex market theories into manageable mathematical operations, illustrating how equations dictate real-world financial dynamics. Understanding and practicing these steps can sharpen analytical skills and provide clarity on economic balance.

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Most popular questions from this chapter

Fitting a Parabola To find the least squares regression parabola \(y = a x ^ { 2 } + b x + c\) for a set of points $$\left( x _ { 1 } , y _ { 1 } \right) , \left( x _ { 2 } , y _ { 2 } \right) , \ldots , \left( x _ { n } , y _ { n } \right)$$ you can solve the following system of linear equations for \(a , b ,\) and \(c .\) $$ \left\\{ \begin{array} { c } { n c + \left( \sum _ { i = 1 } ^ { n } x _ { i } \right) b + \left( \sum _ { i = 1 } ^ { n } x _ { i } ^ { 2 } \right) a = \sum _ { i = 1 } ^ { n } y _ { i } } \\ { \left( \sum _ { i = 1 } ^ { n } x _ { i } \right) c + \left( \sum _ { i = 1 } ^ { m } x _ { i } ^ { 2 } \right) b + \left( \sum _ { i = 1 } ^ { n } x _ { i } ^ { 3 } \right) a = \sum _ { i = 1 } ^ { n } x _ { i } y _ { i } } \\ { \left( \sum _ { i = 1 } ^ { n } x _ { i } ^ { 2 } \right) c + \left( \sum _ { i = 1 } ^ { n } x _ { i } ^ { 3 } \right) b + \left( \sum _ { i = 1 } ^ { n } x _ { i } ^ { 4 } \right) a = \sum _ { i = 1 } ^ { n } x _ { i } ^ { 2 } y _ { i } } \end{array} \right. $$ In Exercises 69 and 70 , the sums have been evaluated. Solve the given system for \(a , b ,\) and \(c\) to find the least squares regression parabola for the points. Use a graphing utility to confirm the result. $$ \left\\{ \begin{aligned} 4 c + 9 b + 29 a = & 20 \\ 9 c + 29 b + 99 a = & 70 \\\ 29 c + 99 b + 353 a = & 254 \end{aligned} \right. $$

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