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CALC FORMULAS 2009r1- 12e

Calculus for business 12th ed. Barnett [reference pages]

Cost: = fixed cost + variable cost (C= 270 + .15x) [51]

Price : p(x) = 300 – .50x [51]

Revenue: (x) = x[p(x)] => (x)( 300 – .50x) = 300x – .50x2 [51]

Profit: P = Revenue (R) – Cost (C) [51]

Price-Demand (p): is usually given as some P(x) = –ax + However, sometimes you have to create P(x) from price information. • P(x) can be calculated using point slope equation given: Price is $14 for 200 units sold. A decrease in price to $12 increases units sold to 300. ∆ price (12 −14) − 2.00 = = = = − 0.02 ∆units (300 − 200) 100

p(x) = m(x – x1) + p1 substitute the calculated m and one of the units (x1) and price (p1) p(x) = –.02(x – 200) + $14 = – .02x + 4 + 14 = − .02x + 18

Break Even Point: R(x) = C(x) Where P(x) and R(x) . In this case there are two intersect points. Generally we are only interested in the first one where we initially break even.

C(x) ( C ) = is the cost per unit item [199] x p(x) Average Price ( p ) = is the price per unit item x

Marginal (Maximum) Revenue: R’(x) = R(x) solve for x at R’(x) = 0 [199] dx d : C’(x) = C(x) solve for x at C’(x) = 0 [199] dx d Marginal : P’(x) = P(x) solve for x at P’(x) = 0 [199] dx

Marginal Average Cost: C ’(x) [199]

Jul 2010 James

BUSINESS CALC FORMULAS 2009r1- 12e

p p(x) − p '( p) : (p) = = = [258] p' xp' f ( p)

Demand as a function of price: x = f (p)

E(p) = 1 unit elasticity (demand change equal to price change) [259] E(p) > 1 elastic (large demand change with price) E(p) < 1 inelastic (demand not sensitive to price change)

x = f(p) = 10000 – 25p2 Find domain of p: set f(p) ≥ 0 10000 – 25p2 ≥ 0 p2 ≤ 400 0 ≤ p ≤ 20

( ) = 50 ′ Find where E(p)𝑓𝑓 is𝑝𝑝 1: − 𝑝𝑝

( ) ( )( 50( )) 50 2 E(p) = = = = 1 (′ ) 10000 25( )2 10000 25( )2 −𝑝𝑝𝑓𝑓 𝑝𝑝 − 𝑝𝑝 − 𝑝𝑝 𝑝𝑝 => 50p2 = 10000–25p2 => 75p2 = 10000 => p2 = 133.3 � 𝑓𝑓 𝑝𝑝 � � − 𝑝𝑝 � � − 𝑝𝑝 � p = 133.3 = 11.55 (remember there is no negative for p)

p 0 √ 20 E(p) <1 =1 >1

Relative Rate of Change (RRC) [256] ( ) (find the derivative of f(x) and divide by f(x)) ′( ) 𝑓𝑓 𝑥𝑥 Also can be found with the dx( ln (f(p)) 𝑓𝑓 𝑥𝑥 1 Demand RRC = dp [ ln (f(p)) ] dx [ ln x ] = Price RRC = f(x) = 10x+500 ln f(x) = ln [10x+500] = ln 10 + ln (x+50) 𝑥𝑥 𝑑𝑑 𝑑𝑑 (log expansion) 1 1 dx [f(x)] = +50 = +50 ( ln10 is a constant so dx ln(10) = 0 )

𝑥𝑥 𝑑𝑑𝑑𝑑 𝑥𝑥

Jul 2010 James S

BUSINESS CALC FORMULAS 2009r1- 12e

Future Value of a continuous income stream: [424] ( ) ( ) = 0 Continuous𝑟𝑟𝑟𝑟 𝑇𝑇 income−𝑟𝑟𝑟𝑟 flow ( ) = 500 0.04 𝐹𝐹𝐹𝐹 Future𝑒𝑒 ∫ value:𝑓𝑓 𝑡𝑡 𝑒𝑒 12% 𝑑𝑑𝑑𝑑 𝑡𝑡 Time: 5 yrs 𝑓𝑓 𝑡𝑡 𝑒𝑒 5 .08 5 = 500 (.12)(5) 0.04( ) .12( ) = 500 .6 −.08𝑡𝑡 0 𝑡𝑡 − 𝑡𝑡 𝑒𝑒 0 FV𝐹𝐹𝐹𝐹 = $3754𝑒𝑒 � 𝑒𝑒 𝑒𝑒 𝑑𝑑𝑑𝑑 𝑒𝑒 � � − Surplus:

PS (producer’s surplus) = 0 [ ( )] 𝑥𝑥̅ [426] (consumer’s surplus) =∫ [𝑝𝑝 ̅ −( 𝑆𝑆) 𝑥𝑥 𝑑𝑑] 𝑑𝑑 0 𝑥𝑥̅ Equilibrium is when: =∫ CS 𝐷𝐷 𝑥𝑥 − 𝑝𝑝̅ 𝑑𝑑𝑑𝑑

x is the current supply p is the current price

𝑦𝑦� 𝑦𝑦�

𝑥𝑥̅ 𝑥𝑥̅ Case A Case B ( ) The surplus is the area between the curve [ 0 ] and the area of the box created by the equilibrium point ( ( ( ) ). In Case𝑥𝑥̅ A it is the (area of the box) – ( the area under the curve); in Case B it is the (area under the curve)∫ 𝑓𝑓 𝑥𝑥– ( area of the box). 𝑥𝑥̅ 𝑡𝑡𝑡𝑡𝑡𝑡𝑡𝑡𝑡𝑡 𝑓𝑓 𝑥𝑥̅ 1 1 1 2 ( ) = 2 2 ( ) Gini : 0 0 0 You can solve the integral [416] 1 1 of f(x) separately and then subtract it from 2 which = 1. So essentially it is 1 2 ( ). ∫ �𝑥𝑥 − 𝑓𝑓 𝑥𝑥 � ∫ 𝑥𝑥 − ∫0 𝑓𝑓 𝑥𝑥 𝑑𝑑𝑑𝑑 0 Index is between 0 and 1. ∫ 𝑥𝑥 − ∫ 𝑓𝑓 𝑥𝑥

Jul 2010 James S