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Mathematics Applied to Economics 2023-2024 Prof. dr. Paula Curt Faculty of Economics and Business Administration, UBB Cluj-Napoca Statistics, Forecasts and Mathematics Department paula.curt@econ.ubbcluj.ro Course 1 Linear Functions Real Functions (one variable) Definition Let D ⊂ R, f : D −→ R. I f function= a rule which assigns to each number x (from the domain of definition) a unique number y=f(x) (in the range of the function) I x = independent variable; y = dependent variable Linear functions: y=f(x)= Prof. dr. Paula Curt (UBB FSEGA) Mathematics Applied to Economics Course 1 2 / 11 Linear Functions Linear functions Equations of a straight line: I slope-intercept form I point-slope form; the line passes through the point (x1, y1) I point-point form; is the equation of the line that passes through the points (x1, y1) and (x2, y2) Prof. dr. Paula Curt (UBB FSEGA) Mathematics Applied to Economics Course 1 3 / 11 Linear Functions Linear functions: example Example 1. Find the relationship between Celsius (C) and Fahrenheit (F) scales, by knowing that: the relationship is linear; water boils at 100 C and 212F; water freezes at 0C and 32F. Is there any temperature measured by the same number in both scales? Prof. dr. Paula Curt (UBB FSEGA) Mathematics Applied to Economics Course 1 4 / 11 Derivatives Derivatives Prof. dr. Paula Curt (UBB FSEGA) Mathematics Applied to Economics Course 1 5 / 11 Derivatives Derivatives. Linear Approximation Definition Let D ⊂ R, a ∈ R and f : D −→ R. The derivative of the function f at the point a is f ′(a) = lim x→a f(x)− f(a) x− a . Remark 1. f ′(a) ∼= f(x)− f(a) x− a , x close to a 2. f(x) ∼= f(a) + f ′(a)(x− a), x close to a; linear (1st order) approximation formula Prof. dr. Paula Curt (UBB FSEGA) Mathematics Applied to Economics Course 1 6 / 11 Derivatives Derivatives. Linear Approximation Example 2. I Use linear approximation (2) to show that ln(1 + x) ∼= x for x close to 0 Prof. dr. Paula Curt (UBB FSEGA) Mathematics Applied to Economics Course 1 7 / 11 Derivatives Derivatives. Linear and Quadratic Approximation Example 3. I Find an approximate value for 1.00150 Prof. dr. Paula Curt (UBB FSEGA) Mathematics Applied to Economics Course 1 8 / 11 Economic applications Derivatives. Economic Applications. Example 4. It is determined that a certain country’s gross domestic product (GDP) can be approximated by f(x) = 432x1/4 where f(x) is measured in billions of dollars and x is the capital expenditure in billions of dollars. Approximate the change in GDP if the country’s capital expenditure changes from $81 billion to $83 billion. Prof. dr. Paula Curt (UBB FSEGA) Mathematics Applied to Economics Course 1 9 / 11 Economic applications Derivatives. Economic Applications Example 5. Suppose C(x) = 8000 + 200x− 0.2x2, (0 ≤ x ≤ 400) is the total cost that a company incurs in producing x units of a certain commodity. I What is the cost of producing the 251st unit of that product? I C ′(250) =? I Compare the results obtained at the previous parts. Prof. dr. Paula Curt (UBB FSEGA) Mathematics Applied to Economics Course 1 10 / 11 Economic applications Derivatives. Economic Applications. Marginal cost Remark Marginal cost is the derivative of the cost function (can be approximated by the cost of producing one aditional unit) C ′(x) ∼= C(x + 1)− C(x) Example 6. Let C(Q) denote the cost of producing Q units per month of a commodity. What is the interpretation of C ′(1000) = 25? Suppose the price obtained per unit is fixed at 30 and that the current output per month is 1000. Is it profitable to increase production? Prof. dr. Paula Curt (UBB FSEGA) Mathematics Applied to Economics Course 1 11 / 11 Linear Functions Derivatives Economic applications
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