Bourbaki

§ 1. Upper integral of a positive function

1. Upper integral of a lower semi-continuous positive function

Let X be a locally compact space, μ\mu a positive measure on X; we know that μ\mu is an increasing function on the lattice K+(X)\mathscr{K}_+(X) (which will also be denoted K+\mathscr{K}_+).

We denote by I+(X)\mathscr{I}_+(X) (or simply I+\mathscr{I}_+) the set of numerical functions on X, finite or not, that are positive and lower semi-continuous on X.\footnote{1} Recall that the sum of any family of functions in I+\mathscr{I}_+ belongs to I+\mathscr{I}_+; the product of a function in I+\mathscr{I}_+ by a finite number α>0\alpha > 0 belongs to I+\mathscr{I}_+; the upper envelope of any family of functions in I+\mathscr{I}_+ and the lower envelope of a finite family of functions in I+\mathscr{I}_+ also belong to I+\mathscr{I}_+ (GT, IV, §6, No. 2, Prop. 2 and Th. 4). We shall also make use of the following lemma:

Lemma

— Every function f∈I+f \in \mathscr{I}_+ is the upper envelope of the set (directed for the relation ≤\leq) of all functions g∈K+g \in \mathscr{K}_+ such that g≤fg \leq f.

For every x∈Xx \in X such that f(x)>0f(x) > 0, and for every real number aa such that 0<a<f(x)0 < a < f(x), there exists by hypothesis a compact neighborhood V of xx such that f(y)≥af(y) \geq a on V; on the other hand, there exists a function g∈K+g \in \mathscr{K}_+, with support contained in V, equal to aa at the point xx and ≤a\leq a

(1) 'I' as in 'inferior'; the letter L\mathscr{L} (as in 'lower') is preempted for other function spaces, to be discussed in §3.

on V (GT, IX, §1, No. 5, Th. 2); therefore 0≤g≤f0 \leq g \leq f and g(x)≥ag(x) \geq a, which proves the lemma.

Definition 1

Given a positive measure μ\mu on XX, one calls upper integral of a function f∈J+f \in \mathscr{J}_+ (with respect to μ\mu) the positive number (finite or equal to +∞+\infty)

μ∗(f)=sup⁡g∈H+,g≤fμ(g). \mu^*(f) = \sup_{g \in \mathscr{H}_+, g \leq f} \mu(g).

For every function f∈H+f \in \mathscr{H}_+, it is clear that μ∗(f)=μ(f)\mu^*(f) = \mu(f), in other words μ∗\mu^* is an extension of μ\mu to J+\mathscr{J}_+.

Example

— Let XX be a discrete space, μ\mu a positive measure on XX, and set α(x)=μ(φ{x})\alpha(x) = \mu(\varphi_{\{x\}}) for all x∈Xx \in X. Every numerical function ff defined on XX is then continuous; for such a function f≥0f \geq 0, μ∗(f)=∑x∈Xα(x)f(x)\mu^*(f) = \sum_{x \in X} \alpha(x)f(x), where we agree to set α(x)f(x)=0\alpha(x)f(x) = 0 whenever α(x)=0\alpha(x) = 0 and f(x)=+∞f(x) = +\infty. For,

∑x∈Xα(x)f(x)=sup⁡M(∑x∈Mα(x)f(x)), \sum_{x \in X} \alpha(x)f(x) = \sup_M \left( \sum_{x \in M} \alpha(x)f(x) \right),
where MM runs over the set of all finite subsets of XX. If there exists an x0∈Xx_0 \in X such that f(x0)=+∞f(x_0) = +\infty and α(x0)>0\alpha(x_0) > 0, then ∑x∈Mα(x)f(x)=+∞\sum_{x \in M} \alpha(x)f(x) = +\infty whenever x0∈Mx_0 \in M, and, on the other hand, f≥n⋅φ{x0}f \geq n \cdot \varphi_{\{x_0\}} for every integer n>0n > 0, therefore μ∗(f)≥nα(x0)\mu^*(f) \geq n \alpha(x_0) and so μ∗(f)=+∞\mu^*(f) = +\infty. If, on the contrary, α(x)=0\alpha(x) = 0 at all the points where f(x)=+∞f(x) = +\infty, then the function gg equal to ff at the points x∈Mx \in M where α(x)>0\alpha(x) > 0 and to 0 elsewhere belongs to H+\mathscr{H}_+, and so, by virtue of the conventions made, μ(g)=∑x∈Mα(x)f(x)\mu(g) = \sum_{x \in M} \alpha(x)f(x), which again proves the relation μ∗(f)=∑x∈Xα(x)f(x)\mu^*(f) = \sum_{x \in X} \alpha(x)f(x).

Proposition 1

For every finite real number α>0\alpha > 0 and every function f∈J+f \in \mathscr{J}_+,*

μ∗(αf)=αμ∗(f). \mu^*(\alpha f) = \alpha \mu^*(f).

Proposition 2

On the set J+\mathscr{J}_+, the function μ∗\mu^* is increasing.* The proofs are immediate from Def. 1.

Theorem 1

Let HH be a nonempty set of functions in J+\mathscr{J}_+, directed for the relation ≤\leq. For every positive measure μ\mu on XX,*

μ∗(sup⁡g∈Hg)=sup⁡g∈Hμ∗(g)=lim⁡g∈Hμ∗(g). \mu^*\left( \sup_{g \in H} g \right) = \sup_{g \in H} \mu^*(g) = \lim_{g \in H} \mu^*(g).

Let f=sup⁡g∈Hgf = \sup_{g \in H} g. We shall first prove the theorem for the special case that the functions g∈Hg \in H and their upper envelope ff belong to H+\mathscr{H}_+. It then follows from Dini’s theorem (GT, X, §4, No. 1, Th. 1) that the section filter of HH converges uniformly to ff on every compact subset of XX, and in particular on the support K of ff. Since 0≤g≤f0 \leq g \leq f for every function g∈Hg \in \mathbf{H}, the support of every function in H\mathbf{H} is contained in KK; but by definition μ\mu is continuous on the vector space K(X,K;C)\mathscr{K}(X, K; \mathbf{C}) of continuous functions with support contained in KK, for the topology of uniform convergence; whence the relation (2) in this case.

Let us pass to the general case. It is clear that μ∗(g)≤μ∗(f)\mu^*(g) \leq \mu^*(f) for every function g∈Hg \in \mathbf{H}. By Def. 1, it all comes down to showing that, for every function ψ∈K+\psi \in \mathscr{K}_+ such that ψ≤f\psi \leq f,

μ(ψ)≤sup⁡g∈Hμ∗(g). \mu(\psi) \leq \sup_{g \in \mathbf{H}} \mu^*(g).

For every function g∈Hg \in \mathbf{H}, let Φg\Phi_g be the set of functions φ∈K+\varphi \in \mathscr{K}_+ such that φ≤g\varphi \leq g, and let Φ\Phi be the union of the sets Φg\Phi_g as gg runs over H\mathbf{H}; since H\mathbf{H} is directed, so is Φ\Phi, and f=sup⁡φ∈Φφf = \sup_{\varphi \in \Phi} \varphi. Since ψ≤f\psi \leq f, ψ\psi is the upper envelope of the set of functions inf⁡(ψ,φ)\inf(\psi, \varphi) as φ\varphi runs over Φ\Phi; but since ψ\psi and the functions inf⁡(ψ,φ)\inf(\psi, \varphi) belong to K+\mathscr{K}_+, the first part of the proof shows that μ(ψ)=sup⁡φ∈Φμ(inf⁡(ψ,φ))\mu(\psi) = \sup_{\varphi \in \Phi} \mu(\inf(\psi, \varphi)). Now, each φ∈Φ\varphi \in \Phi belongs to a set Φg\Phi_g, therefore

μ(inf⁡(ψ,φ))≤μ(φ)≤μ∗(g)≤sup⁡g∈Hμ∗(g), \mu(\inf(\psi, \varphi)) \leq \mu(\varphi) \leq \mu^*(g) \leq \sup_{g \in \mathbf{H}} \mu^*(g),

from which it follows at once that μ(ψ)≤sup⁡g∈Hμ∗(g)\mu(\psi) \leq \sup_{g \in \mathbf{H}} \mu^*(g). We have thus proved that μ∗(f)=sup⁡g∈Hμ∗(g)\mu^*(f) = \sup_{g \in \mathbf{H}} \mu^*(g); the relation μ∗(f)=lim⁡g∈Hμ∗(g)\mu^*(f) = \lim_{g \in \mathbf{H}} \mu^*(g) is then a consequence of the monotone limit theorem (GT, IV, §5, No. 2, Th. 2).

Theorem 2

If f1f_1 and f2f_2 are two functions in I+\mathscr{I}_+ then

μ∗(f1+f2)=μ∗(f1)+μ∗(f2). \mu^*(f_1 + f_2) = \mu^*(f_1) + \mu^*(f_2).

As φ1\varphi_1 (resp. φ2\varphi_2) runs over the set of functions in K+\mathscr{K}_+ such that φ1≤f1\varphi_1 \leq f_1 (resp. φ2≤f2\varphi_2 \leq f_2), the functions φ1+φ2\varphi_1 + \varphi_2 form a directed set (for ≤\leq) whose upper envelope is f1+f2f_1 + f_2. Therefore, by Th. 1,

μ∗(f1+f2)=sup⁡μ(φ1+φ2)=sup⁡(μ(φ1)+μ(φ2)), \mu^*(f_1 + f_2) = \sup \mu(\varphi_1 + \varphi_2) = \sup (\mu(\varphi_1) + \mu(\varphi_2)),

where (φ1,φ2)(\varphi_1, \varphi_2) runs over the set of pairs of functions in K+\mathscr{K}_+ such that φ1≤f1\varphi_1 \leq f_1 and φ2≤f2\varphi_2 \leq f_2; since

sup⁡(μ(φ1)+μ(φ2))=sup⁡μ(φ1)+sup⁡μ(φ2) \sup (\mu(\varphi_1) + \mu(\varphi_2)) = \sup \mu(\varphi_1) + \sup \mu(\varphi_2)

(GT, IV, §5, No. 7, Cor. 2 of Prop. 12), the theorem is proved.

Proposition 3

— For every family (fι)ι∈I(f_\iota)_{\iota \in I} of functions in J+J_+,

μ∗(∑ι∈Ifι)=∑ι∈Iμ∗(fι). \mu^*\left( \sum_{\iota \in I} f_\iota \right) = \sum_{\iota \in I} \mu^*(f_\iota).

For every finite subset JJ of II, it follows from Th. 2 (by induction on the number of elements of JJ) that μ∗(∑ι∈Jfι)=∑ι∈Jμ∗(fι)\mu^*\left( \sum_{\iota \in J} f_\iota \right) = \sum_{\iota \in J} \mu^*(f_\iota); as JJ runs over the set of finite subsets of II, the functions gJ=∑ι∈Jfιg_J = \sum_{\iota \in J} f_\iota belong to J+J_+ and form a directed set for the relation ≤\leq, whose upper envelope is the function ∑ι∈Ifι\sum_{\iota \in I} f_\iota; the proposition therefore follows from Th. 1.

Proposition 4

— Let ff be a function in J+J_+. The mapping μ↦μ∗(f)\mu \mapsto \mu^*(f) of the set M+(X)\mathscr{M}_+(X) of positive measures on XX, into the extended real line R‾\overline{\mathbf{R}}, is lower semi-continuous for the vague topology on M+(X)\mathscr{M}_+(X) (Ch. III, §1, No. 9).

For, this mapping is by definition the upper envelope of the mappings μ↦μ(g)\mu \mapsto \mu(g), where gg runs over the set of functions in K+\mathscr{K}_+ such that g≤fg \leq f; and by definition of the vague topology, the mappings μ↦μ(g)\mu \mapsto \mu(g) are continuous on M(X)\mathscr{M}(X).

2. Outer measure of an open set

Given an open set G⊂XG \subset X, its characteristic function φG\varphi_G is lower semi-continuous on XX (GT, IV, §6, No. 2, Cor. of Prop. 1). We may therefore make the following definition:

Definition 2

— Given a positive measure μ\mu on XX, for every open set G⊂XG \subset X the upper integral μ∗(φG)\mu^*(\varphi_G) is called the outer measure of GG and is denoted μ∗(G)\mu^*(G).

The outer measure of an open set GG is thus a number ≥0\geq 0, finite or equal to +∞+\infty. Clearly μ∗(∅)=0\mu^*(\varnothing) = 0. Moreover, μ∗(X)=∥μ∥,\mu^*(X) = \| \mu \|, as is shown by formula (22) of Ch. III, §1, No. 8.

Proposition 5

— The outer measure of a relatively compact open set GG is finite.

For, there exists in this case a function f∈K+f \in \mathscr{K}_+ such that φG≤f\varphi_G \leq f (Ch. III, §1, No. 2, Lemma 1), whence

μ∗(G)=μ∗(φG)≤μ∗(f)=μ(f)<+∞. \mu^*(G) = \mu^*(\varphi_G) \leq \mu^*(f) = \mu(f) < +\infty.

An open set of finite outer measure is not always relatively compact (Exer. 3).

Proposition 6

— If G₁ and G₂ are two open sets such that G₁ ⊂ G₂, then μ*(G₁) ≤ μ*(G₂). For, the relation G₁ ⊂ G₂ is equivalent to φG₁ ≤ φG₂.

Proposition 7

— Let B\mathfrak{B} be a set of open subsets of X that is directed for the relation ⊂; *then

μ∗(⋃G∈BG)=sup⁡G∈Bμ∗(G). \mu^*\left(\bigcup_{G \in \mathfrak{B}} G\right) = \sup_{G \in \mathfrak{B}} \mu^*(G).

The functions φ_G form a directed set (for ≤) in I+\mathscr{I}_+ and their upper envelope is the characteristic function of the union of the sets G ∈ B\mathfrak{B}; the proposition is thus a consequence of Th. 1.

Proposition 8

— Let (G_ι)_{ι \in I} *be any family of open sets; then

μ∗(⋃ι∈IGι)≤∑ι∈Iμ∗(Gι). \mu^*\left(\bigcup_{\iota \in I} G_\iota\right) \leq \sum_{\iota \in I} \mu^*(G_\iota).

Moreover, if the G_ι are pairwise disjoint then

μ∗(⋃ι∈IGι)=∑ι∈Iμ∗(Gι). \mu^*\left(\bigcup_{\iota \in I} G_\iota\right) = \sum_{\iota \in I} \mu^*(G_\iota).

For, if G = ⋃ι∈IGι\bigcup_{\iota \in I} G_\iota then φ_G = sup_{ι \in I} φ_{G_ι} ≤ ∑ι∈IφGι\sum_{\iota \in I} \varphi_{G_\iota}; when the G_ι are pairwise disjoint, φ_G = ∑ι∈IφGι\sum_{\iota \in I} \varphi_{G_\iota}; the proposition is therefore a consequence of Props. 2 and 3.

Example

— Let X = \mathbf{R} and let μ be Lebesgue measure on \mathbf{R} (Ch. III, §1, No. 3); we are going to determine the outer measure of an open interval G = ]a, b[ (−∞ ≤ a < b ≤ +∞). Suppose first that a and b are finite. For every function f in K+\mathscr{K}_+ such that f ≤ φ_G, we have, by the theorem of the mean (FRV, II, §1, No. 5, Prop. 6),

∫−∞+∞f(x) dx=∫abf(x) dx≤b−a, \int_{-\infty}^{+\infty} f(x)\, dx = \int_a^b f(x)\, dx \leq b - a,

whence μ∗(G)≤b−a\mu^*(G) \leq b - a. On the other hand, for every ε>0\varepsilon > 0 there exists a function f∈K+f \in \mathscr{K}_+ such that f≤φGf \leq \varphi_G and f(x)=1f(x) = 1 for a+ε≤x≤b−εa + \varepsilon \leq x \leq b - \varepsilon, whence μ∗(G)≥b−a−2ε\mu^*(G) \geq b - a - 2\varepsilon; since ε\varepsilon is arbitrary, μ∗(G)=b−a\mu^*(G) = b - a; in other words, the outer measure of GG is equal to its length. This result extends at once to the case that GG is an unbounded open interval, since it then contains bounded open intervals of arbitrarily large length; thus μ∗(G)=+∞\mu^*(G) = +\infty in this case.

Now let GG be any open set in R\mathbf{R}; GG is the union of a countable set (finite or infinite) of pairwise disjoint open intervals ]ak,bk[]a_k, b_k[ (GT, IV, §2, No. 5, Prop. 2), consequently

μ∗(G)=∑k(bk−ak) \mu^*(G) = \sum_k (b_k - a_k)

(Prop. 8); in other words:

Proposition 9

For Lebesgue measure on R\mathbf{R}, the outer measure of an open set in R\mathbf{R} is equal to the sum of the lengths of its connected components.

Note in particular that if GG is an open set in R\mathbf{R} such that μ∗(G)=0\mu^*(G) = 0, then GG is empty.

3. Upper integral of a positive function

For every numerical function f≥0f \geq 0 (finite or not) defined on XX, there exist functions h∈I+h \in \mathscr{I}_+ such that f≤hf \leq h, if none other then the constant +∞+\infty.

Definition 3

Let μ\mu be a positive measure on XX; for every numerical function f≥0f \geq 0 (finite or not) defined on XX, the positive number

μ∗(f)=inf⁡h≥f,h∈I+μ∗(h) \mu^*(f) = \inf_{h \geq f, h \in \mathscr{I}_+} \mu^*(h)

(*finite or equal to +∞+\infty) is called the upper integral of ff (with respect to μ\mu).

When f∈I+f \in \mathscr{I}_+, the number μ∗(f)\mu^*(f) thus defined is equal to the upper integral defined in Def. 1, since μ∗\mu^* is increasing in I+\mathscr{I}_+.

In place of the notation μ∗(f)\mu^*(f), we shall also employ the notations ∫∗fdμ\int^* f d\mu, ∫∗f(x)dμ(x)\int^* f(x) d\mu(x), ∫∗fμ\int^* f \mu and ∫∗f(x)μ(x)\int^* f(x) \mu(x).

Example

— If XX is a discrete space, μ\mu a positive measure on XX, and if one sets α(x)=μ(φ{x})\alpha(x) = \mu(\varphi_{\{x\}}), then μ∗(f)=∑x∈Xα(x)f(x)\mu^*(f) = \sum_{x \in X} \alpha(x) f(x) for every numerical function f≥0f \geq 0 defined on XX, since such a function is continuous (No. 1, Example).

Proposition 10

— *If f and g are two numerical functions ⩾0\geqslant 0 defined on X such that f⩽gf \leqslant g, then μ∗(f)⩽μ∗(g)\mu^*(f) \leqslant \mu^*(g).

Proposition 11

— *For every finite real number α>0\alpha > 0 and every numerical function f⩾0f \geqslant 0 defined on X,

μ∗(αf)=αμ∗(f). \mu^*(\alpha f) = \alpha \mu^*(f).

Proposition 12

— *If f1f_1 and f2f_2 are two numerical functions ⩾0\geqslant 0 defined on X, then

μ∗(f1+f2)⩽μ∗(f1)+μ∗(f2). \mu^*(f_1 + f_2) \leqslant \mu^*(f_1) + \mu^*(f_2).

For every function h1∈I+h_1 \in \mathscr{I}_+ such that f1⩽h1f_1 \leqslant h_1 and every function h2∈I+h_2 \in \mathscr{I}_+ such that f2⩽h2f_2 \leqslant h_2, we have, by Th. 2,

μ∗(f1+f2)⩽μ∗(h1+h2)=μ∗(h1)+μ∗(h2), \mu^*(f_1 + f_2) \leqslant \mu^*(h_1 + h_2) = \mu^*(h_1) + \mu^*(h_2),
whence (GT, IV, §5, No. 7, Cor. 2 of Prop. 12)

μ∗(f1+f2)⩽inf⁡h1⩾f1,h1∈I+μ∗(h1)+inf⁡h2⩾f2,h2∈I+μ∗(h2), \mu^*(f_1 + f_2) \leqslant \inf_{h_1 \geqslant f_1, h_1 \in \mathscr{I}_+} \mu^*(h_1) + \inf_{h_2 \geqslant f_2, h_2 \in \mathscr{I}_+} \mu^*(h_2),
which is none other than the inequality (9).

Props. 10, 11 and 12 express that μ∗\mu^* is an increasing, positively homogeneous and convex function on the set of numerical functions ⩾0\geqslant 0 defined on X (Ch. I, No. 1). Note that if f1f_1 and f2f_2 are any two positive functions, the two members of (9) are not necessarily equal (§ 4, Exer. 8 d)); in §5, No. 6 we shall give conditions under which equality holds.

Theorem 3

— *For every increasing sequence (fn)(f_n) of numerical functions ⩾0\geqslant 0 defined on X,

μ∗(sup⁡nfn)=sup⁡nμ∗(fn). \mu^*\left( \sup_n f_n \right) = \sup_n \mu^*(f_n).

Since each of the functions fnf_n is less than or equal to sup⁡nfn\sup_n f_n, everything comes down to proving that μ∗(sup⁡nfn)⩽sup⁡nμ∗(fn)\mu^*(\sup_n f_n) \leqslant \sup_n \mu^*(f_n); this is obvious if the second member of the inequality is +∞+\infty. In the contrary case, μ∗(fn)<+∞\mu^*(f_n) < +\infty for all nn; we are going to show that, for every ε>0\varepsilon > 0, there exists an increasing sequence (gn)(g_n) of functions in I+\mathscr{I}_+ such that fn⩽gnf_n \leqslant g_n and μ∗(gn)⩽μ∗(fn)+ε\mu^*(g_n) \leqslant \mu^*(f_n) + \varepsilon. If gg is the upper envelope of the sequence (gn)(g_n), we will then have μ∗(g)=sup⁡nμ∗(gn)\mu^*(g) = \sup_n \mu^*(g_n) (No. 1, Th. 1), whence μ∗(g)⩽sup⁡μ∗(fn)+ε\mu^*(g) \leqslant \sup \mu^*(f_n) + \varepsilon; since sup⁡fn⩽g\sup f_n \leqslant g and ε\varepsilon is arbitrary, the theorem will then have been proved.

By hypothesis, there exists a function hn∈J+h_n \in \mathscr{J}_+ such that fn≤hnf_n \leq h_n and μ∗(fn)≤μ∗(hn)≤μ∗(fn)+ε/2n\mu^*(f_n) \leq \mu^*(h_n) \leq \mu^*(f_n) + \varepsilon/2^n; let us show that the functions gn=sup⁡(h1,h2,…,hn)g_n = \sup(h_1, h_2, \ldots, h_n) meet the requirements. They belong to J+\mathscr{J}_+, form an increasing sequence, and satisfy fn≤gnf_n \leq g_n for all nn; we shall prove that

μ∗(gn)≤μ∗(fn)+ε(1−12n). \mu^*(g_n) \leq \mu^*(f_n) + \varepsilon \left( 1 - \frac{1}{2^n} \right).

Let us argue by induction on nn; the case n=1n = 1 is trivial. On the other hand gn+1=sup⁡(gn,hn+1)g_{n+1} = \sup(g_n, h_{n+1}), gn≥fng_n \geq f_n and hn+1≥fn+1≥fnh_{n+1} \geq f_{n+1} \geq f_n, whence inf⁡(gn,hn+1)≥fn\inf(g_n, h_{n+1}) \geq f_n; since

inf⁡(gn,hn+1)+sup⁡(gn,hn+1)=gn+hn+1, \inf(g_n, h_{n+1}) + \sup(g_n, h_{n+1}) = g_n + h_{n+1},

it follows from Th. 2 of No. 1 that

μ∗(gn+1)=μ∗(gn)+μ∗(hn+1)−μ∗(inf⁡(gn,hn+1))≤μ∗(gn)+μ∗(hn+1)−μ∗(fn)≤μ∗(fn+1)+ε(1−12n)+ε2n+1=μ∗(fn+1)+ε(1−12n+1). \begin{align*} \mu^*(g_{n+1}) &= \mu^*(g_n) + \mu^*(h_{n+1}) - \mu^*(\inf(g_n, h_{n+1})) \\ &\leq \mu^*(g_n) + \mu^*(h_{n+1}) - \mu^*(f_n) \\ &\leq \mu^*(f_{n+1}) + \varepsilon \left( 1 - \frac{1}{2^n} \right) + \frac{\varepsilon}{2^{n+1}} \\ &= \mu^*(f_{n+1}) + \varepsilon \left( 1 - \frac{1}{2^{n+1}} \right). \end{align*}

Q.E.D.

Corollary

— Let F\mathfrak{F} be a set of numerical functions ≥0\geq 0, directed for the relation ≤\leq, such that there exists a countable cofinal subset G\mathfrak{G} of F\mathfrak{F} (S, III, §1, No. 7); then

μ∗(sup⁡f∈Ff)=sup⁡f∈Fμ∗(f). \mu^*\left( \sup_{f \in \mathfrak{F}} f \right) = \sup_{f \in \mathfrak{F}} \mu^*(f).

For, there exists an increasing sequence of functions in G\mathfrak{G} having the same upper envelope as F\mathfrak{F}: if (fn)(f_n) is the sequence of functions of G\mathfrak{G}, arranged in any order, let (fnk)(f_{n_k}) be a subsequence defined recursively by the conditions n1=1n_1 = 1, fnk+1≥sup⁡(fnk,fk)f_{n_{k+1}} \geq \sup(f_{n_k}, f_k); it is clear that this subsequence has the indicated properties.

Remark

— 1) The relation (11) does not necessarily hold when F\mathfrak{F} is an uncountable directed set of functions ≥0\geq 0 that are not lower semi-continuous. Take for example X=RX = \mathbf{R}, μ\mu being Lebesgue measure on R\mathbf{R}, and consider the directed (for ≤\leq) set F\mathfrak{F} of characteristic functions φM\varphi_M of all the finite subsets M of R\mathbf{R}. Then μ∗(φM)=0\mu^*(\varphi_M) = 0 for every finite subset M, because a point is contained in an open interval of arbitrarily small length, and the characteristic function of a set reduced to a point therefore has upper integral zero by Def. 3 and Prop. 9 of No. 2. But the upper envelope of F\mathscr{F} is the constant function equal to 1, and μ∗(1)=+∞\mu^*(1) = +\infty.

2) Note that for a decreasing sequence (fn)(f_n) of functions ⩾0\geqslant 0, one does not necessarily have μ∗(inf⁡nfn)=inf⁡nμ∗(fn)\mu^*(\inf_n f_n) = \inf_n \mu^*(f_n), even if μ∗(fn)<+∞\mu^*(f_n) < +\infty for all nn (cf. §4, Exer. 8 c)).

Proposition 13

For every sequence* (fn)(f_n) of numerical functions ⩾0\geqslant 0 defined on XX,

μ∗(∑n=1∞fn)⩽∑n=1∞μ∗(fn). \mu^*\left( \sum_{n=1}^\infty f_n \right) \leqslant \sum_{n=1}^\infty \mu^*(f_n).

It suffices to apply the relation (10) to the increasing sequence of functions gn=∑k=1nfkg_n = \sum_{k=1}^n f_k while taking into account that, by (9),

μ∗(gn)⩽∑k=1nμ∗(fk). \mu^*(g_n) \leqslant \sum_{k=1}^n \mu^*(f_k).

In §5, No. 6, we will give conditions under which the two members of (12) are equal.

Proposition 14 (Fatou’s lemma)

— For every sequence (fn)(f_n) of numerical functions ⩾0\geqslant 0,

μ∗(lim inf⁡n→∞fn)⩽lim inf⁡n→∞μ∗(fn). \mu^*\left( \liminf_{n \to \infty} f_n \right) \leqslant \liminf_{n \to \infty} \mu^*(f_n).

For every integer nn, set gn=inf⁡p⩾0fn+pg_n = \inf_{p \geqslant 0} f_{n+p}; the sequence (gn)(g_n) is increasing and lim inf⁡n→∞fn=sup⁡ngn\liminf_{n \to \infty} f_n = \sup_n g_n, whence, by (10),

μ∗(lim inf⁡n→∞fn)=sup⁡nμ∗(gn); \mu^*(\liminf_{n \to \infty} f_n) = \sup_n \mu^*(g_n);

but since gn⩽fn+pg_n \leqslant f_{n+p} for p⩾0p \geqslant 0, we have μ∗(gn)⩽μ∗(fn+p)\mu^*(g_n) \leqslant \mu^*(f_{n+p}), whence μ∗(gn)⩽inf⁡p⩾0μ∗(fn+p)\mu^*(g_n) \leqslant \inf_{p \geqslant 0} \mu^*(f_{n+p}) and finally

μ∗(lim inf⁡n→∞fn)⩽sup⁡n(inf⁡p⩾0μ∗(fn+p))=lim inf⁡n→∞μ∗(fn). \mu^*\left( \liminf_{n \to \infty} f_n \right) \leqslant \sup_n \left( \inf_{p \geqslant 0} \mu^*(f_{n+p}) \right) = \liminf_{n \to \infty} \mu^*(f_n).

Corollary

Let* (fn)(f_n) be a sequence of numerical functions ⩾0\geqslant 0 such that, for every x∈Xx \in X, lim⁡n→∞fn(x)=+∞\lim_{n \to \infty} f_n(x) = +\infty. If μ\mu is not the zero measure, then lim⁡n→∞μ∗(fn)=+∞\lim_{n \to \infty} \mu^*(f_n) = +\infty.

If f0f_0 is the constant function equal to +∞+\infty, then f0f_0 is the upper envelope of all the functions of K+\mathscr{K}_+, and, since μ≠0\mu \neq 0, we have μ∗(f0)>0\mu^*(f_0) > 0; but since f0=αf0f_0 = \alpha f_0 for every α>0\alpha > 0, necessarily μ∗(f0)=+∞\mu^*(f_0) = +\infty (Prop. 11). The inequality (13) then shows that μ∗(fn)\mu^*(f_n) tends to +∞+\infty with nn.

Proposition 15

For every scalar α>0\alpha > 0 and every pair of positive measures μ,ν\mu, \nu on XX,

(αμ)∗=αμ∗ (\alpha \mu)^* = \alpha \mu^*
(μ+ν)∗=μ∗+ν∗. (\mu + \nu)^* = \mu^* + \nu^*.

Moreover, the relation μ≤ν\mu \leq \nu implies μ∗≤ν∗\mu^* \leq \nu^*.

Let us prove the relation (15). Set λ=μ+ν\lambda = \mu + \nu; thus λ(f)=μ(f)+ν(f)\lambda(f) = \mu(f) + \nu(f) for f∈K+f \in \mathscr{K}_+; for f∈J+f \in \mathscr{J}_+, the value of λ∗(f)\lambda^*(f) (resp. μ∗(f)\mu^*(f), ν∗(f)\nu^*(f)) is the limit of λ(g)\lambda(g) (resp. μ(g)\mu(g), ν(g)\nu(g)) as gg runs over the directed set (for ≤\leq) of all g∈K+g \in \mathscr{K}_+ such that g≤fg \leq f; therefore λ∗(f)=μ∗(f)+ν∗(f)\lambda^*(f) = \mu^*(f) + \nu^*(f). Finally, if ff is any function ≥0\geq 0 defined on XX, then λ∗(f)\lambda^*(f) (resp. μ∗(f)\mu^*(f), ν∗(f)\nu^*(f)) is the limit of λ∗(h)\lambda^*(h) (resp. μ∗(h)\mu^*(h), ν∗(h)\nu^*(h)) as hh runs over the directed set (for ≥\geq) of all functions h∈J+h \in \mathscr{J}_+ such that h≥fh \geq f; again, by passage to the limit, we therefore have λ∗(f)=μ∗(f)+ν∗(f)\lambda^*(f) = \mu^*(f) + \nu^*(f), which proves (15). The relation (14) is established similarly. Finally, if μ≤ν\mu \leq \nu one can write ν=μ+(ν−μ)\nu = \mu + (\nu - \mu), where ν−μ≥0\nu - \mu \geq 0, therefore ν∗=μ∗+(ν−μ)∗\nu^* = \mu^* + (\nu - \mu)^*, which shows that μ∗≤ν∗\mu^* \leq \nu^*.

4. Outer measure of an arbitrary set

Definition 4

Let μ\mu be a positive measure on XX; for every subset AA of XX, the upper integral μ∗(φA)\mu^*(\varphi_A) is called the outer measure of AA (with respect to the measure μ\mu) and is denoted μ∗(A)\mu^*(A).

The outer measure of a set is thus a number ≥0\geq 0, finite or equal to +∞+\infty, that, for an open set, coincides with the outer measure defined in Def. 2 of No. 2.

Proposition 16

If AA and BB are two subsets of XX such that A⊂BA \subset B, then μ∗(A)≤μ∗(B)\mu^*(A) \leq \mu^*(B).

Corollary

Every relatively compact set in XX has finite outer measure.

For, such a set is contained in a relatively compact open set (GT, I, §9, No. 7, Prop. 10), whose outer measure is finite (No. 2, Prop. 5).

Proposition 17

— If (An)(A_n) is an increasing sequence of subsets of X, then μ∗(⋃nAn)=sup⁡nμ∗(An)\mu^*(\bigcup_n A_n) = \sup_n \mu^*(A_n).

Proposition 18

— For every sequence (An)(A_n) of subsets of X,

μ∗(⋃nAn)≤∑nμ∗(An). \mu^*\left(\bigcup_n A_n\right) \leq \sum_n \mu^*(A_n).

These propositions are the translations of Props. 10 and 13 and of Th. 3 of No. 3 for characteristic functions of sets.

Proposition 19

— For every subset A of X, μ∗(A)\mu^*(A) is the infimum of the outer measures of the open sets containing A.

The proposition is obvious if μ∗(A)=+∞\mu^*(A) = +\infty. In the contrary case, for every ε\varepsilon such that 0<ε<10 < \varepsilon < 1, there exists a function f∈J+f \in \mathscr{J}_+ such that φA≤f\varphi_A \leq f and μ∗(A)≤μ∗(f)≤μ∗(A)+ε\mu^*(A) \leq \mu^*(f) \leq \mu^*(A) + \varepsilon. Let G be the set of x∈Xx \in X such that f(x)>1−εf(x) > 1 - \varepsilon. Since ff is lower semi-continuous, G is open (GT, IV, §6, No. 2, Prop. 1) and contains A; on the other hand f≥(1−ε)φGf \geq (1 - \varepsilon)\varphi_G, whence

μ∗(G)≤11−εμ∗(f)≤11−ε(μ∗(A)+ε); \mu^*(G) \leq \frac{1}{1 - \varepsilon} \mu^*(f) \leq \frac{1}{1 - \varepsilon} (\mu^*(A) + \varepsilon);

since ε\varepsilon is arbitrary, we see that μ∗(G)\mu^*(G) differs as little as we please from μ∗(A)\mu^*(A), whence the proposition.

Exercises

See the exercises for § 1.

Transcribed from the printed volume. Not translated.