Algebraic Optimization: Marginal Analysis Without Calculus
Abstract
Teaching students to conduct marginal analysis before they have studied calculus is a major challenge in introductory economics courses. This paper offers a simple algebraic approach to optimization that allows students to extract explicit marginal revenue and marginal cost functions from quadratic total revenue and total cost functions. For first- or second-degree polynomials, the algebraic results are identical to those derived from differential calculus. The technique offers students a deeper understanding of the profit maximization process than can be obtained from spreadsheets and other conventional teaching methods. The resulting functions can be used to develop related insights regarding issues such as deadweight loss and competitive market adjustments. Numerical examples of monopoly and perfect competition are used to illustrate the algebraic optimization technique.
Downloads
Published
Issue
Section
License
By making research freely available, we help support the greater global exchange of knowledge. There are no article submission or processing charges. Each journal volume is preserved via the Walker Library's three level preservation methods including local and cloud storage. The author(s) retains/retain the copyright to the work, but grants the Journal the right to publish, display, and distribute the work in print and electronic format. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons CC BY-NC-ND 4.0 license that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal. For more information on this license go to https://creativecommons.org/licenses/by-nc-nd/4.0.