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Demand Systems and Integrability Conditions

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Duality in Consumer Theory: Utility and ExpenditureIntegrability and Preference Recovery+2 more→
demand integrability consistency rationality

Core Idea

Not all demand functions can come from maximizing a utility function; they must satisfy integrability conditions (Slutsky symmetry, negative semi-definiteness). These conditions ensure the demand system is consistent with optimization. Testing whether observed demand satisfies integrability reveals whether consumer behavior is rational without knowing preferences.

Explainer

From your work on duality, you know that a utility-maximizing consumer generates demand through two equivalent routes: direct utility maximization (Marshallian demands) and expenditure minimization (Hicksian demands), linked by the Slutsky equation. The integrability question inverts this: given an observed demand function x(p, w), does there exist a utility function that rationalizes it? The answer is: not always. Integrability conditions are the set of restrictions that a demand function must satisfy to be consistent with utility maximization.

The key object is the Slutsky matrix — the matrix of compensated price effects, with entry (i, j) equal to ∂x_i/∂p_j + x_j·(∂x_i/∂w). For demand generated by utility maximization, this matrix must satisfy two conditions. First, Slutsky symmetry: the (i, j) entry must equal the (j, i) entry, meaning the compensated cross-price effect of good j on good i equals the compensated cross-price effect of good i on good j. Second, negative semi-definiteness: the matrix can have no positive eigenvalues, meaning compensated own-price effects are non-positive. Both conditions follow directly from the properties of the expenditure function you derived in your duality study.

These conditions have concrete economic content. Symmetry says that how coffee consumption responds to a compensated increase in tea prices must equal how tea consumption responds to a compensated increase in coffee prices. This is an observable, testable implication of rationality — not an assumption about any particular preference shape, but a structural requirement of optimization itself. Negative semi-definiteness says that compensated demand slopes downward: hold utility constant, raise a price, and the consumer buys no more of that good.

The power of integrability conditions is that they let you test rationality from demand data without ever observing preferences directly. If you estimate a demand system from household expenditure surveys and find that the Slutsky matrix is asymmetric or has a positive eigenvalue, you have evidence against utility-maximizing behavior — without specifying what utility function the consumer "should" have. This is the bridge between the axiomatic revealed preference framework you studied and empirical demand analysis: integrability conditions are how you check whether a system of observed demand functions is consistent with a coherent underlying optimization problem.

Practice Questions 5 questions

Prerequisite Chain

Understanding Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Dividing Integers → Unit Rates → Proportions → Percent Concept → Converting Between Fractions, Decimals, and Percents → Operations with Rational Numbers → Two-Step Equations → Solving Multi-Step Equations → Equations with Variables on Both Sides → Literal Equations → Slope-Intercept Form → Point-Slope Form → Writing Linear Equations → Parallel and Perpendicular Line Slopes → Graphing Linear Equations → Piecewise Functions → One-Sided Limits → Continuity Definition → Limits and Continuity in Multiple Variables → Functions of Several Variables → Continuity in Multiple Variables → Partial Derivatives: Definition and Computation → Differentiability in Multiple Variables → Differentiability in Multivariable Functions → Total Differential and Linear Approximation → Chain Rule for Multivariable Functions → Implicit Differentiation → Related Rates → Optimization Problems → Critical Points of Multivariable Functions → Critical Points and Classification of Extrema → Second Partial Test for Local Extrema (Hessian) → The Hessian Matrix and Second Derivative Test → Unconstrained Optimization: Finding Extrema → Optimization in Multiple Variables → Lagrange Multipliers → Constrained Optimization and Lagrange Multipliers → Utility and Preferences → Marginal Utility and Diminishing Returns → Budget Constraint → Indifference Curves → Consumer Optimum → Consumer Duality: Expenditure and Indirect Utility Functions → Hicksian Demand (Compensated Demand) → The Slutsky Equation → Hicksian (Compensated) Demand → Integrability and Preference Recovery → Demand Systems and Integrability Conditions

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