advanced34 min studyLesson 187 in Mathematics

Product measures and Tonelli–Fubini

Construct product integration and decide whether changing the order of integration is justified.

On this page

What you’ll understand

  • State the sigma-finite product-measure setting used in the standard theorems.
  • Apply Tonelli to nonnegative functions before assessing finite integrability.
  • Explain why unequal iterated integrals can signal failure of absolute integrability.

A double integral contains two distinct questions: what measure describes the pair of coordinates, and whether integrating one coordinate at a time gives the same answer. Rectangles suggest the product rule, but extending it to all measurable sets requires a theorem. Tonelli handles nonnegative functions, allowing infinite answers. Fubini handles absolutely integrable signed functions, permitting order changes and finite answers almost everywhere. Keeping these permissions separate is a reliable way to avoid hidden cancellation at singularities.

The rectangle rule and its domain

Take sigma-finite measure spaces (X,A,μ) and (Y,B,ν). Their product sigma algebra is generated by rectangles E×F with E in A and F in B. The product measure is characterized by assigning such a rectangle the product μ(E)ν(F), with the standard zero-times-infinity convention. Sigma-finiteness ensures the usual existence and uniqueness framework and the integration results used here. A set's sections, obtained by fixing one coordinate, are measurable when the set belongs to the product sigma algebra.

The product of two complete measure spaces need not itself be complete on the product sigma algebra. For Lebesgue integration on Euclidean product spaces, one often passes to the completion. Then section and iterated-integral statements may need almost-everywhere qualifications rather than claims about every exceptional section. In this lesson, the basic theorem is stated for product-measurable functions, and completed-space versions are interpreted through suitable representatives. Naming this convention prevents a technically false assertion that all sections of every completed measurable set are automatically measurable.

(μ⊗ν)(E×F)=μ(E)ν(F),E∈A, F∈B,A⊗B=σ{E×F}(\mu\otimes\nu)(E\times F)=\mu(E)\nu(F),\qquad E\in\mathcal A,\ F\in\mathcal B,\qquad\mathcal A\otimes\mathcal B=\sigma\{E\times F\}
The standard product theorem is used with sigma-finite μ and ν. The product sigma algebra and its completion are distinct domains.↔ Scroll wide equations horizontally.

Tonelli first, Fubini after absolute integrability

For a nonnegative product-measurable f, Tonelli identifies its product integral with either iterated integral, permitting the value infinity. The theorem is therefore useful as a test: apply it to |f| to decide whether a signed function is integrable. If that integral is finite, Fubini applies to f itself. Almost every section is then integrable, the section integral defines an integrable function of the other coordinate, and either integration order returns the same finite answer. Exceptional sections do not alter the product integral.

This logic also governs infinite sums. Counting measure on the natural numbers is sigma-finite, so summing a nonnegative array in either order is Tonelli on a discrete product space. For a signed array, absolute summability gives Fubini and permits reordering. Merely obtaining finite answers in each iterated order is not enough to establish absolute integrability. It is safer to inspect |f| before simplifying a signed expression, because cancellation can hide exactly the divergence that invalidates the exchange.

∫X×Yf d(μ⊗ν)=∫X ⁣(∫Yf(x,y) dν(y))dμ(x)=∫Y ⁣(∫Xf(x,y) dμ(x))dν(y)\int_{X\times Y}f\,d(\mu\otimes\nu)=\int_X\!\left(\int_Y f(x,y)\,d\nu(y)\right)d\mu(x)=\int_Y\!\left(\int_X f(x,y)\,d\mu(x)\right)d\nu(y)
The equality holds for nonnegative product-measurable f by Tonelli, or for f with finite integral of |f| by Fubini, under the sigma-finite setting stated above.↔ Scroll wide equations horizontally.

An order-dependent singular example is a warning

On (0,1)² consider f(x,y)=(x²−y²)/(x²+y²)². For fixed positive x, integrating in y uses the derivative of y/(x²+y²) and gives 1/(1+x²). The resulting integral in x is pi/4. Reversing the roles uses the negative derivative of x/(x²+y²), yielding negative pi/4 instead. Both iterated answers exist, but they disagree. That disagreement cannot occur under Fubini's absolute-integrability hypothesis, so a singularity has defeated the proposed permission.

Polar coordinates explain the obstruction. Near the origin, the absolute value behaves as |cos(2θ)|/r² while area contributes r dr dθ. On an angular sector where the cosine stays bounded away from zero, the remaining radial integral is a positive multiple of the divergent integral of 1/r. Thus |f| is not integrable. A symmetric cutoff may suggest a principal value, but that is a different object with a specified limiting prescription, not the ordinary signed Lebesgue product integral.

Two legal orders over a triangle

Compute ∫01∫01xy1{0<y<x<1} dy dx\int_0^1\int_0^1xy\mathbf 1_{\{0<y<x<1\}}\,dy\,dx and reverse the order with justification.

  1. The integrand is nonnegative and product measurable on a finite square, so Tonelli permits either order. It is also bounded by one, making its absolute integral finite.

  2. At fixed x, integrate y from zero to x: the inner result is x·x²/2=x³/2. Integrating x from zero to one gives 1/8.

  3. At fixed y, x runs from y to one. The inner integral is y(1−y²)/2, whose integral over y in (0,1) is 1/4−1/8=1/8.

The result

Both orders give 1/8. Measurability and nonnegativity justify the exchange before any calculation is performed.

Explore the model

Interactive lab

Interactive lab · probability

Finite products behind binomial masses

Change p and n in the exact binomial distribution. Predict the probability of n successes as p to the nth power before inspecting the final bar. This uses products of independent Bernoulli probabilities and a finite sum over outcomes, illustrating a discrete product calculation. The lab does not approximate a two-dimensional singular integral or test Fubini numerically.

Finite products behind binomial massesThese are exact binomial probabilities for independent trials with one fixed success probability. Playback tours the distribution; it does not resample outcomes. Current readings: Mean · np: 5; Variance · np(1−p): 2.5; Total probability: 1. All parameters are adjustable with the labeled controls below.03581000.070.150.220.3Successes kP(X = k)k = 0 · P = 9.77e-4
Exact probabilityHighlighted outcomeMean np
Mean · np
5
Variance · np(1−p)
2.5
Total probability
1
t = 0 s

These are exact binomial probabilities for independent trials with one fixed success probability. Playback tours the distribution; it does not resample outcomes. Parameter changes pause playback and recompute the model at the current elapsed time. Reset restores both parameters and returns time to zero. Playback starts paused. Adjust either parameter, then choose Play or Step.

Look forFinite independent products motivate the measure construction; infinite or signed order changes still require their own hypotheses.

Check your understanding

A signed measurable function has finite iterated integrals in both orders, but they disagree. What follows?

Try it yourself

On (0,∞)², evaluate the product integral of e−x−ye^{-x-y} and explain which theorem permits separating the coordinates.

Take a moment to make a prediction or work it out on paper. Open a hint when you need one.

Give me a hint

The function is nonnegative and factors into an x term and a y term.

Compare with the solution

Lebesgue measure on each positive half-line is sigma-finite, and the function is nonnegative and continuous. Tonelli permits integrating one coordinate first. The inner integral of e⁻ʸ is one, leaving the integral of e⁻ˣ, also one. The product integral is therefore one. The finite result simultaneously proves absolute integrability, so Fubini is also applicable afterward. Nonnegativity supplied the initial permission without first knowing the final value.

Take it with you

  • The standard product and order-exchange theorems here use sigma-finite measures.
  • Tonelli permits nonnegative extended values; Fubini needs absolute integrability for signed functions.
  • Finite but unequal iterated answers reveal a failed order-exchange hypothesis.

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