[
Prev
] [
Index
] [
Next
] SMART handout for AGEC618
AGEC618
AGEC618 From analytical solution to linearized system
AGEC618 Lecture 1
AGEC618 Lecture 2
AGEC618 Lecture 3
AGEC618 Lecture 4
AGEC618 Lecture 5
AGEC618 Lecture 6
Philosophy of SMART
Supplementary concepts
Adjoint Matrix
Basis
Bundle
Cartesian Product
CIF price
Cobb-Douglas Function
Cofactor
Commodity
Comparative Statics
Compensated Price Change
Competitive Budget
Complement
Composite Function
Concave (function)
Conditional Factor Demand
Constant Elasticity of Substitution Function
Constant Elasticity of Transformation Function
Continuity (function)
Continuously Differentiable
Convex (function)
Convex (preference)
Convex (set)
Convex Combination (Vector)
Convex Program
Cost Function
Cost Minimization Problem
Cournot Aggregation
Definiteness of Matrix
Demand Change as Price and Wealth Change
Derivative
Determinant of matrix
Differentiability
Differential
Dimension (Space)
Duality
Elasticity of Demand
Elasticity of Substitution
Engel Aggregation
Envelope Theorem
Euclidean Distance
Euler's Theorem
Expenditure Function
Expenditure Minimization Problem
FOB price
Frequently Used Symbols
Giffen Good
Hessian Matrix
Hicksian Demand Function
Homogeneity
Homothetic (Function)
Hotelling's Lemma
Hyperplane
Indirect Utility Function
Inferior Good
Interior
Interior point
Inverse Matrix
Kronecker Product
Kuhn-Tucker Theorem
Lagrange Multiplier
Law of Demand
Law of Supply
Leading Principal Minor
Limit (Function)
Linearization in Economic Models
Linearization of CES function
Linearly Independent Set
Local-nonsatiation
Logarithm and Proportional Change
Marginal Rate of Substitution
Marginal Rate of Technical Substitution
Marginal Rate of Transformation
Minor
Monotonicity (Preference)
Neighborhood
Non-Saturating (Preference)
Normal
Normal Good
Open Set
Orthogonal
Principal Minor
Production Function
Production Set
Production Vector
Profit Function
Profit Maximization Problem
Quasi-concave (function)
Quasi-convex (function)
Quasi-linear Utility
Return to Scale
Roy's Identity
Scalar Product
Shephard's Lemma
Singleton
Singular Matrix
Slutsky matrix
Span
Square Matrix
Stone-Geary Function
Strict Complementary Slackness
Subspace
Supply Correspondence
Symmetric Matrix
Total Derivative
Transformation Frontier
Transformation Function
Transpose of Matrix
Utility Maximization Problem
Walrasian Demand
Walras's Law
WARP (Demand Function)
Dimension (Space)
Definition
Every
basis
of L must contain the same number of vectors. This is called the
dimension
of L.
Note
Example