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Differentiation under the integral sign over a compact measurable set and over a compact C1 surface

Statement

Set form. Assume the Axiom of Countable Choice (ACω, The Axiom of Countable Choice (ACω)), used to establish the Lebesgue measure space of Assuming countable choice, L(Rn) is a sigma-algebra containing every elementary set and λn is a complete measure extending elementary volume. Let K⊆Rn be compact, Lebesgue measurable and of finite Lebesgue measure λn(K)<∞, let a<b, and let f be a real-valued function, defined and continuous together with its partial derivative ∂tf on an open neighbourhood of K×[a,b] in Rn+1. Then t↦∫Kf(x,t) dλn(x) is differentiable at every t∈(a,b) with

ddt∫Kf(x,t) dλn(x)=∫K∂tf(x,t) dλn(x),

and at t=a and t=b it has relative (one-sided) derivatives, taken within [a,b], both equal to the same displayed integral. Equivalently, for every t∈[a,b] and every sequence hk→0 with hk≠0 and t+hk∈[a,b],

lim⁡k→∞1hk(∫Kf(x,t+hk) dλn(x)−∫Kf(x,t) dλn(x))=∫K∂tf(x,t) dλn(x).

Surface form. Assume the Axiom of Countable Choice (ACω, The Axiom of Countable Choice (ACω)) for the surface measure of Surface integration on compact C1 hypersurfaces. Let S be a fixed compact embedded C1 hypersurface in Rm, m≥2, and let f be real-valued, defined and continuous together with ∂tf on an open neighbourhood of S×[a,b]. Then t↦∫Sf(σ,t) dS(σ) is differentiable in the same relative sense with

ddt∫Sf(σ,t) dS(σ)=∫S∂tf(σ,t) dS(σ).

The statements are pointwise in t and make no claim about moving parameter sets K(t) or S(t), about singularities crossing K or S, about differentiability of ∂tf, or about differentiation in the spatial variables; only the one-dimensional parameter t is differentiated. Integrals are Lebesgue integrals, and the surface integrals are those of the cited surface measure; the case K=∅ or λn(K)=0 is included and the two sides vanish.

Facts & Assumptions

Given: The Axiom of Countable Choice ACω for both forms; an integer n≥1; a compact measurable K⊆Rn with λn(K)<∞; reals a<b; an open N⊆Rn+1 with K×[a,b]⊆N and a real-valued f on N such that f and its partial derivative ∂tf are continuous on N; and, for the surface form, a compact embedded C1 hypersurface S in Rm with a corresponding f on a neighbourhood of S×[a,b].

[A1]

Lebesgue measure-space premise: assume ACω (The Axiom of Countable Choice (ACω)). For n≥1, (Rn,L(Rn),λn) is a complete measure space; the definition alone introduces only a family of sets and a restricted set function (Lebesgue measurable sets, the family L(Rn), and the restricted set function λn, Assuming countable choice, L(Rn) is a sigma-algebra containing every elementary set and λn is a complete measure extending elementary volume). All set-form integrals below use this measure space. The surface form retains the same choice premise for its declared finite surface measure.

[F1]

Mean value theorem: for a<c<d<b-type real intervals, a function continuous on a closed interval and differentiable in its interior attains its average rate of change at an interior point; in particular, for fixed x and s,u∈[a,b] with s≠u there is τ strictly between s and u with f(x,u)−f(x,s)=∂tf(x,τ)(u−s) (The mean value theorem, as the case g(x)=x of Cauchy's: for f continuous on [a,b] with a<b and differentiable on (a,b) there is c∈(a,b) with f(b)−f(a)=f′(c)(b−a)).

[F2]

On the Lebesgue measure space established by [A1], integrability of bounded measurable functions on finite-measure sets, and the triangle inequality for the integral: a bounded measurable real function g on measurable K with λn(K)<∞ is integrable, and ∣∫Kg dλn∣≤∫K∣g∣ dλn (Integral over a measurable subset, Integrable real and complex functions, and their integrals, The modulus of an integral is bounded by the integral of the modulus). A continuous function on the compact set K is Borel measurable on K by continuous preimages; its Borel preimages are traces of Borel sets of Rn, and these are Lebesgue measurable under [A1] (A continuous map has Borel preimages of Borel sets, The Borel sigma-algebra of a subspace is the trace of the ambient Borel sigma-algebra, Assuming countable choice, every Borel subset of Rn is Lebesgue measurable). Boundedness and the simple-integral/order rules in [F3] give integrability on the finite-measure K.

[F3]

On the measure space established by [A1], linearity, monotonicity and nonnegative homogeneity of the Lebesgue integral: ∫K(αg+βh) dλn=α∫Kg dλn+β∫Kh dλn for integrable g,h and real α,β, and for measurable 0≤g≤h one has ∫g dλ≤∫h dλ, with ∫c g dλ=c∫g dλ for c>0; moreover ∫Ec dλn=c λn(E) for c≥0 and measurable E, in particular ∫Kη dλn=η λn(K) (The Lebesgue integral is linear on L1(μ), Monotonicity and nonnegative homogeneity of the nonnegative integral, The integral of a nonnegative simple function, The nonnegative integral agrees with the simple integral on simple functions).

[F5]

Surface measure: the surface integral on a compact embedded C1 hypersurface defines a finite Borel measure, independent of the finite charts and partitions used, continuous and monotone on nonnegative functions, and linear on signed functions integrable against it (Surface integration on compact C1 hypersurfaces, Chart and partition independence of surface measure, The Axiom of Countable Choice (ACω)).

Proof

technique · direct; represent the difference quotient by the mean value theorem as an average of $\partial_tf$ and estimate it by uniform continuity on the compact product
1.1givenA1F2algebra

The function F(t):=∫Kf(x,t) dλn(x) is defined and finite for every t∈[a,b]: for fixed t the map x↦f(x,t) is continuous on K, hence bounded and Borel measurable, and λn(K)<∞, so it is integrable by [F2].

2.1step 1.1F1F2F3algebra

Fix s,t∈[a,b] with s≠t and put g(x):=f(x,s)−f(x,t)s−t for x∈K; then g is continuous on K, hence bounded, Borel measurable and integrable by [F2]. For every x∈K the mean value theorem [F1] applied to the one-variable function u↦f(x,u) on the closed interval with endpoints t and s supplies a point τ strictly between t and s with f(x,s)−f(x,t)=∂tf(x,τ)(s−t), that is, g(x)=∂tf(x,τ); no point τ is selected as a function of x anywhere below, only the pointwise inequality ∣g(x)−∂tf(x,t)∣<η that such an existential τ yields, together with the separately defined continuous function g. By linearity of the integral [F3] applied to the integrable functions f(⋅,s) and f(⋅,t) of step 1.1, F(s)−F(t)=∫K(f(x,s)−f(x,t))dλn(x)=(s−t)∫Kg dλn(x), so the difference quotient is ∫Kg dλn.

3.1step 2.1F2F3F4algebra

Given ε>0, put η:=ε/(1+λn(K))>0; the function ∂tf is uniformly continuous on the compact set K×[a,b] by [F4], so there is δ>0 such that ∣∂tf(x,u)−∂tf(x,v)∣<η whenever (x,u),(x,v)∈K×[a,b] with ∣u−v∣<δ. Fix s,t∈[a,b] with 0<∣s−t∣<δ and let g be the continuous function of step 2.1. For every x∈K the mean value point τ supplied by [F1] lies strictly between t and s, so ∣τ−t∣<∣s−t∣<δ and therefore ∣g(x)−∂tf(x,t)∣=∣∂tf(x,τ)−∂tf(x,t)∣<η; the function h:=g−∂tf(⋅,t) is continuous on K, hence bounded and Borel measurable, so by [F2] and [F3] ∣F(s)−F(t)s−t−∫K∂tf(x,t) dλn(x)∣=∣∫Kh dλn∣≤∫K∣h∣ dλn≤∫Kη dλn=η λn(K)=ελn(K)1+λn(K)<ε; the case λn(K)=0 is covered by the same chain, both sides vanishing. No mean-value point is selected as a function of x in this estimate; ACω has already supplied the Lebesgue measure-space premise [A1].

4.1step 3.1algebra

Step 3.1 shows that for every t∈[a,b] and every sequence hk→0 with hk≠0 and t+hk∈[a,b] the difference quotients converge to ∫K∂tf(x,t) dλn(x): for interior t this is differentiability with the stated derivative, and at t=a (respectively t=b), where only hk>0 (respectively hk<0) is admissible, it is the relative derivative there; because N is open, ∂tf(x,t) is the genuine two-sided partial derivative, so the relative endpoint derivative exists and equals the displayed integral. This proves the set form.

5.1step 3.1step 4.1F1F4F5algebra∎

Surface form: let G(t):=∫Sf(σ,t) dS(σ), a finite real number for each t by [F5]. Fix s,t∈[a,b] with s≠t and put g(σ):=f(σ,s)−f(σ,t)s−t; g is continuous on the compact S, hence σ↦g(σ)−∂tf(σ,t) is continuous, bounded and integrable against dS, and by linearity of the surface integral [F5] on the integrable functions G(s)−G(t)=∫S(f(σ,s)−f(σ,t))dS(σ)=(s−t)∫Sg dS(σ). For every σ∈S the mean value theorem [F1] supplies τ strictly between t and s with g(σ)=∂tf(σ,τ), and again no τ is selected as a function; uniform continuity of ∂tf on the compact set S×[a,b] by [F4], the finiteness of the surface measure S(S) and the monotonicity and triangle inequality for the surface integral [F5] then give, for 0<∣s−t∣<δ with the δ of step 3.1 applied to η:=ε/(1+S(S)), the pointwise bound ∣g(σ)−∂tf(σ,t)∣<η and hence ∣[G(s)−G(t)]/(s−t)−∫S∂tf(σ,t) dS(σ)∣=∣∫S(g−∂tf(⋅,t))dS∣≤η S(S)<ε, exactly as in steps 2.1 and 3.1 with S in place of K and dS in place of dλn. Passing to the limit as in step 4.1 gives the surface form, including the relative endpoint derivatives.

Remarks

  • The proof is the difference-quotient argument of the published rectangle theorem in the more general setting of a compact measurable parameter set and of a fixed compact C1 surface; the finite measure (or finite surface measure) of the parameter set is what makes the uniform error bound convert into an integral error bound.
  • No moving set is treated. For a moving surface the parametrization itself depends on t and additional terms appear; that transport identity is proved separately using the moving-patch definition on this page.

Depends on

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