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Riemann integration of continuous curves in a complete normed space, with the fundamental theorem of calculus and coefficient functionals

Statement

Let X be a real vector space (Vector space over a field) with a norm ∥⋅∥ (A norm on a real vector space, the induced metric, and the dictionary with the metric axioms) whose metric d(x,y):=∥x−y∥ is complete (Complete metric space: every Cauchy sequence converges in the space). Let a<b be reals (Intervals of R: the nine order-convex forms, nondegeneracy, and length) and let g:[a,b]→X be continuous (Continuity of a map between metric spaces, at a point and globally, in the ε-δ form). For endpoints c,d∈[a,b], set ∫ccg:=0X and, when c>d, set ∫cdg:=−∫dcg; for c<d use the Riemann-sum construction below on the restriction to [c,d]. Then:

  1. Integral. For every sequence of tagged partitions of [a,b] whose mesh tends to 0, the Riemann sums ∑i(ti+1−ti) g(si) converge in X; the limit, written ∫abg, is independent of the sequence, and ∥∫abg∥  ≤  (b−a)sup⁡t∈[a,b]∥g(t)∥.
  2. Fundamental theorem. The curve G:[a,b]→X, G(t):=∫atg, is well defined, satisfies ∥G(t)−G(s)∥≤(t−s)sup⁡[s,t]∥g∥ for a≤s≤t≤b, and is differentiable with G′=g on [a,b] in the one-sided sense at the endpoints.
  3. Linearity. For continuous g,h:[a,b]→X and reals α,β: ∫ab(αg+βh)=α∫abg+β∫abh; and for a≤c≤b, ∫abg=∫acg+∫cbg.
  4. Bounded linear images. If Y is a normed real vector space and T:X→Y is linear with ∥Tx∥≤C∥x∥ for some C<+∞ and all x, then T∘g is continuous and T(∫abg)=∫ab(T∘g); in particular, for every real-linear functional Λ:X→R with ∣Λx∣≤C∥x∥, Λ(∫abg)=∫abΛ∘g.

Facts & Assumptions

Given: A complete normed real vector space X, reals a<b, a continuous curve g:[a,b]→X.

[F1]

A normed space is a real vector space with a norm, and d(x,y)=∥x−y∥ is a metric; scalar multiplication and addition are continuous for that metric, and ∥x∥=∥x−0∥ is 1-Lipschitz hence continuous (A norm on a real vector space, the induced metric, and the dictionary with the metric axioms, The reverse triangle inequality in a normed space).

[F2]

A metric space is complete when every Cauchy sequence converges (Complete metric space: every Cauchy sequence converges in the space, Cauchy sequence in a metric space).

[F4]

A sequence (g(τj)) converges to g(t) whenever τj→t (Continuity of a map between metric spaces, at a point and globally, in the ε-δ form).

Proof

technique · direct; uniform continuity makes the Riemann sums Cauchy in the complete metric, and the fundamental theorem is the usual quotient estimate

Given: The complete normed space X and the continuous curve g.

1.1F3F1

Since [a,b] is compact and metric, hence a uniform space, [F3] provides a modulus: for every ε>0 there is δ>0 such that ∥g(s)−g(s′)∥≤ε whenever ∣s−s′∣≤δ. Define ω(δ):=sup⁡{∥g(s)−g(s′)∥:s,s′∈[a,b], ∣s−s′∣≤δ}; then ω(δ)→0 as δ↓0 and ω is nondecreasing.

2.1F1step 1.1algebra

Let P be a tagged partition a=t0<⋯<tn=b with tags si∈[ti,ti+1] and Riemann sum SP:=∑i<n(ti+1−ti)g(si), and let R be a refinement of P with any tags. Grouping the terms of SR by the interval of P that contains them, SP−SR=∑i<n∑R∋[t′,t′′]⊆[ti,ti+1](t′′−t′)(g(si)−g(s′)), so ∥SP−SR∥≤∑i<n(ti+1−ti) ω(ti+1−ti)≤(b−a) ω(mesh(P)) by [F1].

3.1step 2.1F1F2F3

Let (P(j)) and (Q(j)) be two sequences of tagged partitions with meshes tending to 0. For each j let R(j) be a common refinement of P(j) and Q(j), so mesh(R(j))≤min⁡(mesh(P(j)),mesh(Q(j))). By step 2.1 applied twice, ∥SP(j)−SQ(j)∥≤∥SP(j)−SR(j)∥+∥SR(j)−SQ(j)∥≤2(b−a)ω(max⁡(mesh(P(j)),mesh(Q(j))))→0. For two indices j,k the same common-refinement estimate gives ∥SP(j)−SP(k)∥≤2(b−a)ω(max⁡(mesh(P(j)),mesh(P(k))))→0 as both indices tend to infinity, so (SP(j)) is Cauchy, and taking arbitrary sequences shows that any two such limits coincide; by completeness [F2] the limit ∫abg exists and is independent of the sequence. Moreover ∥SP∥≤(b−a)sup⁡[a,b]∥g∥ for every P by the triangle inequality, and the norm is continuous [F1], so the same bound holds for the limit. This is claim 1.

4.1step 3.1F1algebra

For a≤c≤b the integral over [a,b] equals the sum of those over [a,c] and [c,b]: if c=a or c=b this is the zero-integral convention, and otherwise partitions of [a,b] may be refined to contain c, and for such a partition the Riemann sum splits into the two sums; both sides converge and limits are additive because addition in X is continuous [F1]. Defining G(t):=∫atg, this additivity gives G(t)−G(s)=∫stg for a≤s≤t≤b, and claim 1 applied on [s,t] gives ∥G(t)−G(s)∥≤(t−s)sup⁡[s,t]∥g∥.

4.2step 3.1F1

Linearity: for fixed g,h,α,β and any tagged partition P, the Riemann sums satisfy SP(αg+βh)=αSP(g)+βSP(h) by finite distributivity in the vector space X [F1]; letting the mesh tend to 0 and using continuity of addition and scalar multiplication [F1] gives ∫(αg+βh)=α∫g+β∫h. This completes claim 3.

5.1step 4.1F1F4

Differentiability: for a≤t<b and 0<h≤b−t, step 4.1 gives G(t+h)−G(t)=∫tt+hg, and claim 1 gives ∥1h(G(t+h)−G(t))−g(t)∥=∥1h∫tt+h(g−g(t))∥≤sup⁡u∈[t,t+h]∥g(u)−g(t)∥→0 as h↓0 by continuity [F4]; for h<0 with a≤t+h<t, oriented additivity gives the same quotient estimate with supremum over [t+h,t], so G′=g with the usual one-sided interpretation at a and b. Together with step 4.1 this is claim 2.

6.1step 3.1F1∎

Bounded linear images: T∘g is continuous since g is and T is Lipschitz [F1]; for each tagged partition T(SP(g))=SP(T∘g) by linearity, and T is continuous, so passing to the limit in step 3.1 gives T(∫abg)=∫abT∘g. Applying this to a bounded linear functional Λ:X→R (with R in the role of Y) gives the last clause of claim 4.

Remarks

The statement is deliberately quantitative: the integral is defined by a limit of Riemann sums for partitions of mesh tending to zero, which is the only integration of curves needed for the Galerkin argument below. No Bochner measurability theory, no Radon-Nikodym theorem and no dual-space completeness is presupposed.

Depends on

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