Mathematical economics: prelude to the neoclassical model/ Kam Yu
Series: Springer Texts in Business and EconomicsPublication details: Switzerland: Springer Nature, 2019Description: xiii, 214 pages, 23 cm. figs, tablesISBN:- 9783030272913
- 23 330.0151 Y94
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 330.0151 Y94 (Browse shelf(Opens below)) | Available | 138587 |
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| 330.0151 V888 Advanced mathematical economics | 330.0151 W195 Evolvodynamics - the mathematical theory of economic evolution : | 330.0151 W436 Income, wealth, and the maximum principle | 330.0151 Y94 Mathematical economics: prelude to the neoclassical model/ | 330.01511352 H249 Recursive models of dynamic linear economies / | 330.015118 Modeling Aggregate Behavior and Fluctuations in Economics: Stochastic Views of Interacting Agents | 330.015129434 Se439 Matrix algebra for applied economics |
Includes bibliography and index
Logic and proof -- Sets and relations -- Basic topology -- Linear algebra -- Vector calculus -- Convex analysis -- Optimization -- Probability -- Dynamic modelling
This textbook provides a one-semester introduction to mathematical economics for first year graduate and senior undergraduate students. Intended to fill the gap between typical liberal arts curriculum and the rigorous mathematical modeling of graduate study in economics, this text provides a concise introduction to the mathematics needed for core microeconomics, macroeconomics, and econometrics courses. Chapters 1 through 5 builds students’ skills in formal proof, axiomatic treatment of linear algebra, and elementary vector differentiation. Chapters 6 and 7 present the basic tools needed for microeconomic analysis. Chapter 8 provides a quick introduction to (or review of) probability theory. Chapter 9 introduces dynamic modeling, applicable in advanced macroeconomics courses. The materials assume prerequisites in undergraduate calculus and linear algebra. Each chapter includes in-text exercises and a solutions manual, making this text ideal for self-study.
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