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  2. Inverse demand function - Wikipedia

    en.wikipedia.org/wiki/Inverse_demand_function

    The inverse demand function is the same as the average revenue function, since P = AR. [4] To compute the inverse demand function, simply solve for P from the demand function. For example, if the demand function has the form = then the inverse demand function would be =. [5]

  3. Demand - Wikipedia

    en.wikipedia.org/wiki/Demand

    For example, if the demand equation is Q = 240 - 2P then the inverse demand equation would be P = 120 - .5Q, the right side of which is the inverse demand function. [13] The inverse demand function is useful in deriving the total and marginal revenue functions. Total revenue equals price, P, times quantity, Q, or TR = P×Q. Multiply the inverse ...

  4. Demand curve - Wikipedia

    en.wikipedia.org/wiki/Demand_curve

    A demand curve is a graph depicting the inverse demand function, [1] ... buy the good or service in question can be a non-price determinant of demand. As an example ...

  5. Law of demand - Wikipedia

    en.wikipedia.org/wiki/Law_of_demand

    In microeconomics, the law of demand is a fundamental principle which states that there is an inverse relationship between price and quantity demanded. In other words, "conditional on all else being equal , as the price of a good increases (↑) , quantity demanded will decrease (↓) ; conversely, as the price of a good decreases (↓ ...

  6. Markup rule - Wikipedia

    en.wikipedia.org/wiki/Markup_rule

    P(Q) = inverse demand function, and thereby the price at which Q can be sold given the existing demand C(Q) = total cost of producing Q. = economic profit. Profit maximization means that the derivative of with respect to Q is set equal to 0: ′ + ′ = where

  7. Logistic function - Wikipedia

    en.wikipedia.org/wiki/Logistic_function

    The standard logistic function is the logistic function with parameters =, =, =, which yields = + = + = / / + /.In practice, due to the nature of the exponential function, it is often sufficient to compute the standard logistic function for over a small range of real numbers, such as a range contained in [−6, +6], as it quickly converges very close to its saturation values of 0 and 1.

  8. Marginal revenue - Wikipedia

    en.wikipedia.org/wiki/Marginal_revenue

    This can also be represented as a derivative when the change in quantity sold becomes arbitrarily small. Define the revenue function to be [13] = (), where Q is output and P(Q) is the inverse demand function of customers. By the product rule, marginal revenue is then given by

  9. Marshallian demand function - Wikipedia

    en.wikipedia.org/wiki/Marshallian_demand_function

    In some cases, there is a unique utility-maximizing bundle for each price and income situation; then, (,) is a function and it is called the Marshallian demand function. If the consumer has strictly convex preferences and the prices of all goods are strictly positive, then there is a unique utility-maximizing bundle.