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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 ZeroThe Number ZeroCounting to FiveCounting to 10Counting to 20Counting a Set of Objects Up to 20Cardinality: The Last Number CountedMatching Numerals to QuantitiesSubitizing Small QuantitiesAddition Within 10Number Bonds to 10Addition Within 20Doubles and Near DoublesDoubles Facts Within 10Near Doubles Facts Within 20Mental Math Strategies for AdditionMental Math: Adding and Subtracting TensAddition Within 100Repeated Addition as MultiplicationMultiplication as Equal GroupsMultiplication: ArraysBasic Multiplication Facts (0s, 1s, 2s, 5s, 10s)Multiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Multiplication and Division Fact FamiliesRelationship Between Multiplication and DivisionDivision Facts as Inverse of MultiplicationRemainders and Quotients in DivisionDivision Word ProblemsMulti-Step Word ProblemsSolving Multi-Step Word ProblemsMultiplication Word ProblemsDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueIntegers and the Number LineComparing and Ordering IntegersAbsolute ValueAdding IntegersSubtracting IntegersMultiplying IntegersDividing IntegersUnit RatesProportionsPercent ConceptConverting Between Fractions, Decimals, and PercentsOperations with Rational NumbersTwo-Step EquationsSolving Multi-Step EquationsEquations with Variables on Both SidesLiteral EquationsSlope-Intercept FormPoint-Slope FormWriting Linear EquationsParallel and Perpendicular Line SlopesGraphing Linear EquationsPiecewise FunctionsOne-Sided LimitsContinuity DefinitionLimits and Continuity in Multiple VariablesFunctions of Several VariablesContinuity in Multiple VariablesPartial Derivatives: Definition and ComputationDifferentiability in Multiple VariablesDifferentiability in Multivariable FunctionsTotal Differential and Linear ApproximationChain Rule for Multivariable FunctionsImplicit DifferentiationRelated RatesOptimization ProblemsCritical Points of Multivariable FunctionsCritical Points and Classification of ExtremaSecond Partial Test for Local Extrema (Hessian)The Hessian Matrix and Second Derivative TestUnconstrained Optimization: Finding ExtremaOptimization in Multiple VariablesLagrange MultipliersConstrained Optimization and Lagrange MultipliersUtility and PreferencesMarginal Utility and Diminishing ReturnsBudget ConstraintIndifference CurvesConsumer OptimumConsumer Duality: Expenditure and Indirect Utility FunctionsHicksian Demand (Compensated Demand)The Slutsky EquationHicksian (Compensated) DemandIntegrability and Preference RecoveryDemand Systems and Integrability Conditions

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