Linear Algebra for Economists

This textbook introduces students of economics to the fundamental notions and instruments in linear algebra. Linearity is used as a first approximation to many problems that are studied in different branches of science, including economics and other social sciences. Linear algebra is also the most suitable to teach students what proofs are and how to prove a statement. The proofs that are given in the text are relatively easy to understand and also endow the student with different ways of thinking in making proofs. Theorems for which no proofs are given in the book are illustrated via figures and examples. All notions are illustrated appealing to geometric intuition. The book provides a variety of economic examples using linear algebraic tools. It mainly addresses students in economics who need to build up skills in understanding mathematical reasoning. Students in mathematics and informatics may also be interested in learning about the use of mathematics in economics.

Sommario

Some Basic Concepts.- Vectors and Matrices.- Square Matrices and Determinants.- Inverse Matrix.- Systems of Linear Equations.- Linear Spaces.- Euclidean Spaces.- Linear Transformations.- Eigenvectors and Eigenvalues.- Linear Model of Production in a Classical Setting.- Linear Programming.- Natural Numbers and Induction.- Methods of Evaluating Determinants.- Complex Numbers.- Pseudoinverse.- Answers and Solutions.

Dettagli sul prodotto

• Autori: Fuad Aleskerov, Hasan Ersel, National Research University Higher School of Economics, Dmitri Piontkovski
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 11.11.2013
• EAN: 9783642270024
• ISBN: 978-3-642-27002-4
• Pagine: 280
• Dimensioni: 178 mm x 17 mm x 235 mm
• Peso: 447 g
• Illustrazioni: XII, 280 p.
• Serie: Springer Texts in Business and Economics
• Categorie: Scienze sociali, diritto, economia > Economia > Economia politica; Algebra, Operations Research, C, Economics and Finance, Economic Theory, Operations Research/Decision Theory, Operations Research and Decision Theory, Game Theory, Economics, Social and Behav. Sciences, Philosophy of Mathematics, game theory, Linear Algebra, Management decision making, Management science, Operational research, Decision Making, Quantitative Economics, Matrix theory, Linear and Multilinear Algebras, Matrix Theory, Economic Theory/Quantitative Economics/Mathematical Methods