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Real and complex ell one have the Schur property
Statement
Both and have the Schur property: every weakly convergent sequence in either space converges in the norm.
Facts & Assumptions
Given: and a sequence in , with coordinates indexed by .
The Schur property is the implication from weak convergence to norm convergence, equivalently the same implication for weakly null sequences (Schur property). Weak convergence is convergence under every bounded scalar-linear functional (Weak convergence of nets and sequences).
By the definitions of and (The sequence spaces c_0 and ell-infinity, Finite truncations approximate null and summable sequences), for either scalar field, if and , then
Thus the absolutely convergent series defines a bounded scalar-linear functional, with no conjugation in the complex pairing. Coordinate evaluation is the special case (The sequence spaces c_0 and ell-infinity, Finite truncations approximate null and summable sequences).
If and retains coordinates , then (Finite truncations approximate null and summable sequences).
Every nonempty subset of has a least element (The well-ordering principle), and a deterministic successor rule can be iterated along (The recursion theorem).
A strictly increasing index map satisfies (A strictly increasing index map satisfies ).
Real and complex scalar Cauchy sequences converge (The reals are complete, The complex plane is complete, and convergence is equivalent to convergence of real and imaginary parts), and a nonnegative real series converges exactly when its partial sums are bounded above (A series of nonnegative terms converges iff its partial sums are bounded, and then the sum is their supremum).
Proof
First verify the Banach-space condition. Let be Cauchy in . Each coordinate sequence is Cauchy because ; let be its scalar limit by [F6]. Given , take such that for . For fixed and , passage to the limit in the finite sum gives . Hence [F6] gives , so and . In particular . Thus both scalar versions of are complete and hence Banach.
Put . For every , , so is weakly null. By [F1] and step 1.1 it is enough to prove .
Suppose otherwise. Negating the definition of convergence supplies an such that is cofinal in : for every it contains an . In particular is nonempty.
We recursively define strictly increasing indices and strictly increasing finite cutoffs . Let be the least element of , and let be the least for which ; the latter set is nonempty by [F3]. Given , coordinate evaluation is a bounded functional by [F2], so for each . Because this head is finite, eventually . The cofinal set therefore contains an satisfying this inequality. Take the least such as , then take the least with , again using [F3]. Each least value is unique by [F4]. On the set of pairs with and , these rules therefore define a total deterministic successor function; [F4] iterates it from and assembles the entire sequence without a choice axiom.
Define disjoint finite blocks and for . For , the construction and give . For there is no old head, so the same block sum is greater than .
Define one scalar sequence blockwise. If and , put when , and put when ; put when that coordinate is zero. Because is strictly increasing, [F5] gives ; hence every natural lies in exactly one of the disjoint blocks. Thus , so , and the no-conjugation pairing from [F2] satisfies on in both scalar fields.
Let be the bounded functional supplied by [F2]. For , the triangle inequality, step 5.1, and the head and tail estimates in step 4.1 give . For , the block exceeds and the only complementary tail is below , so the stronger bound holds.
On the other hand, weak nullity in step 2.1 gives . The indices are strictly increasing, and [F5] gives , so the scalar subsequence also tends to zero. This contradicts its uniform lower bound in step 7.1. Therefore , hence ; [F1] and the completeness proved in step 1.1 establish the Schur property over both and . The construction used only least natural numbers, scalar completeness and recursion, not Countable Choice or any stronger choice principle.
Depends on
- Schur property
- Weak convergence of nets and sequences
- The sequence spaces c_0 and ell-infinity
- Finite truncations approximate null and summable sequences
- The reals are complete
- The complex plane is complete, and convergence is equivalent to convergence of real and imaginary parts
- A series of nonnegative terms converges iff its partial sums are bounded, and then the sum is their supremum
- The well-ordering principle
- The recursion theorem
- A strictly increasing index map satisfies $n_k \ge k$
Used by
- Ell one is not reflexive Corollary
- Weak and norm topologies differ on ℓ¹ despite identical convergent sequences Counterexample
Dependency tree · two levels
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Sources
- Gerald Teschl, Topics in Real and Functional Analysis (2017) (standard reference, not scraped)