How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
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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 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 is complete (Complete metric space: every Cauchy sequence converges in the space). Let be reals (Intervals of : the nine order-convex forms, nondegeneracy, and length) and let be continuous (Continuity of a map between metric spaces, at a point and globally, in the - form). For endpoints , set and, when , set ; for use the Riemann-sum construction below on the restriction to . Then:
- Integral. For every sequence of tagged partitions of whose mesh tends to , the Riemann sums converge in ; the limit, written , is independent of the sequence, and
- Fundamental theorem. The curve , , is well defined, satisfies for , and is differentiable with on in the one-sided sense at the endpoints.
- Linearity. For continuous and reals : ; and for , .
- Bounded linear images. If is a normed real vector space and is linear with for some and all , then is continuous and ; in particular, for every real-linear functional with , .
Facts & Assumptions
Given: A complete normed real vector space , reals , a continuous curve .
A normed space is a real vector space with a norm, and is a metric; scalar multiplication and addition are continuous for that metric, and is -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).
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).
is compact and Hausdorff (Heine-Borel by bisection: every closed bounded interval is compact), and every continuous map from a nonempty compact Hausdorff space to a uniform space is uniformly continuous (Every continuous map from a nonempty compact Hausdorff space to a uniform space is uniformly continuous, Uniform continuity of a map of metric spaces: one serving every point).
A sequence converges to whenever (Continuity of a map between metric spaces, at a point and globally, in the - form).
Proof
Given: The complete normed space and the continuous curve .
Since is compact and metric, hence a uniform space, [F3] provides a modulus: for every there is such that whenever . Define ; then as and is nondecreasing.
Let be a tagged partition with tags and Riemann sum , and let be a refinement of with any tags. Grouping the terms of by the interval of that contains them, , so by [F1].
Let and be two sequences of tagged partitions with meshes tending to . For each let be a common refinement of and , so . By step 2.1 applied twice, . For two indices the same common-refinement estimate gives as both indices tend to infinity, so is Cauchy, and taking arbitrary sequences shows that any two such limits coincide; by completeness [F2] the limit exists and is independent of the sequence. Moreover for every by the triangle inequality, and the norm is continuous [F1], so the same bound holds for the limit. This is claim 1.
For the integral over equals the sum of those over and : if or this is the zero-integral convention, and otherwise partitions of may be refined to contain , and for such a partition the Riemann sum splits into the two sums; both sides converge and limits are additive because addition in is continuous [F1]. Defining , this additivity gives for , and claim 1 applied on gives .
Linearity: for fixed and any tagged partition , the Riemann sums satisfy by finite distributivity in the vector space [F1]; letting the mesh tend to and using continuity of addition and scalar multiplication [F1] gives . This completes claim 3.
Differentiability: for and , step 4.1 gives , and claim 1 gives as by continuity [F4]; for with , oriented additivity gives the same quotient estimate with supremum over , so with the usual one-sided interpretation at and . Together with step 4.1 this is claim 2.
Bounded linear images: is continuous since is and is Lipschitz [F1]; for each tagged partition by linearity, and is continuous, so passing to the limit in step 3.1 gives . Applying this to a bounded linear functional (with in the role of ) 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
A norm on a real vector space, the induced metric, and the dictionary with the metric axioms
Complete metric space: every Cauchy sequence converges in the space
Cauchy sequence in a metric space
Uniform continuity of a map of metric spaces: one serving every point
Every continuous map from a nonempty compact Hausdorff space to a uniform space is uniformly continuous
Heine-Borel by bisection: every closed bounded interval is compact
Intervals of : the nine order-convex forms, nondegeneracy, and length
Continuity of a map between metric spaces, at a point and globally, in the - form
The reverse triangle inequality in a normed space
Vector space over a field
Dependency tree · 2 levels
Sources
- E. Wiedemann (ed. J. Skipper), Lecture Notes: Navier-Stokes Equations (Universität Ulm, WS 2018/19), Section 4.1 (Bochner spaces and integration of curves with values in a Banach space)
- A. J. Majda and A. L. Bertozzi, Vorticity and Incompressible Flow (CUP 2002), Theorem 3.1 (the Picard theorem on a Banach space) and Subsections 3.2.2-3.2.3 (integral equations and limits of curves in Sobolev spaces)