Fubini's Theorem and Tonelli's Theorem

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integration fubini-theorem

Core Idea

Fubini's theorem: for integrable f on X × Y, ∫∫f d(μ⊗ν) = ∫(∫f(x,y) dν(y)) dμ(x). Tonelli's version handles non-negative functions without integrability, allowing interchange of iteration under more general conditions.

Explainer

From your work with product measures, you know how to build a measure μ⊗ν on the Cartesian product X × Y from component measures μ and ν, and you know the Lebesgue integral of a function on that product space. Fubini's theorem answers the practical question: must you integrate over X × Y as a single inseparable entity, or can you compute the double integral by integrating one variable at a time? The answer, under the right conditions, is that iterated integration always works and always gives the same result regardless of the order.

The key condition in Fubini's theorem is that f must be integrable — meaning ∫|f| d(μ⊗ν) < ∞. When this holds, three things are simultaneously true: for μ-almost every x the function y ↦ f(x, y) is ν-integrable; the function x ↦ ∫f(x, y) dν(y) defined almost everywhere is μ-integrable; and the resulting iterated integral equals the double integral. The same holds with the order of x and y reversed. Crucially, Fubini does not merely say the iterated integrals exist — it guarantees they agree with the integral over the product space.

Tonelli's theorem is the companion result for non-negative measurable functions, and its role is to let you *verify* integrability when you don't know it in advance. For f ≥ 0, Tonelli allows iterated integration in either order even without the L¹ hypothesis — the iterated integrals are always equal (possibly both infinite). In practice, the two theorems work in tandem: use Tonelli on |f| to confirm it is integrable, then apply Fubini to f itself to switch the order. This combination is the standard tool in measure theory for computing or bounding integrals on product spaces.

Why can the order matter for non-integrable functions? The classic cautionary example is a function on [0,1]×[0,1] that integrates to different values when the order of integration is swapped. Fubini's integrability hypothesis rules these out. The deeper reason is that the product measure μ⊗ν distributes mass uniformly across the product in a way that fails to "see" cancellation between positive and negative parts unless the total variation is finite. This is precisely the L¹ condition. Understanding this failure mode clarifies why Fubini is a theorem requiring proof, not a tautology: the structure of the Lebesgue integral on product spaces is nontrivial, and the theorem says that integrability is exactly what makes everything coherent.

Practice Questions 5 questions

Prerequisite Chain

Counting to 10Counting to 20Understanding ZeroThe Number ZeroCounting to FiveOne-to-One CorrespondenceCombining Small Groups Within 5Addition Within 10Addition Within 20Two-Digit Addition Without RegroupingTwo-Digit Addition with RegroupingAddition Within 100Repeated Addition as MultiplicationMultiplication 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 100Two-Digit by One-Digit DivisionDivision with RemaindersRemainders and Quotients in DivisionDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueReading and Writing DecimalsComparing and Ordering DecimalsAdding and Subtracting DecimalsMultiplying DecimalsDividing DecimalsDividing FractionsMixed Number ArithmeticOrder of OperationsInteger Order of OperationsVariable ExpressionsCombining Like TermsOne-Step EquationsTwo-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 DefinitionEpsilon-Delta ContinuityRigorous Definition of the DerivativeRiemann Integral via Darboux SumsCriteria for Riemann IntegrabilityProperties of the Riemann IntegralFundamental Theorem of Calculus (Rigorous)Introduction to the Lebesgue IntegralLebesgue Integral for Simple FunctionsLebesgue Integral for Non-Negative FunctionsLebesgue Integral: General DefinitionFubini's Theorem and Tonelli's Theorem

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