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A summability matrix failing exactly one Silverman-Toeplitz condition and transforming a convergent sequence to a divergent one
Statement refuted
Refuted claim: a summability matrix whose columns tend to and whose row sums tend to is regular; equivalently, the uniform bound on the row absolute sums in A summability matrix with only finitely many nonzero entries per row is regular iff each column tends to , the row sums tend to , and the row absolute sums are uniformly bounded is redundant.
The witness is the matrix with exactly two nonzero entries in each row,
together with the null sequence , where is the alternating sequence of The even and odd index maps and the alternating sequence: strictly increasing with their disjoint union, and the unique with , , which satisfies , and . Every column of is eventually ; every row sum is exactly ; the row absolute sums are and are unbounded. The transform of is
which does not converge although . So is not regular, and the third condition of A summability matrix with only finitely many nonzero entries per row is regular iff each column tends to , the row sums tend to , and the row absolute sums are uniformly bounded is not redundant.
Facts & Assumptions
Given: The matrix above, the alternating sequence with and , and the sequence .
Summability matrices, the transform, row sums, row absolute sums and regularity (A summability (Toeplitz) matrix, the transformed sequence , and regularity, Sequences of reals: bounded, eventually, frequently, tails, subsequences); finite sums and their laws (Finite sums and finite products, by recursion, Laws of finite sums and finite products).
The Silverman-Toeplitz conditions and the theorem that they characterise regularity (A summability matrix with only finitely many nonzero entries per row is regular iff each column tends to , the row sums tend to , and the row absolute sums are uniformly bounded).
The alternating sequence: , (The even and odd index maps and the alternating sequence: strictly increasing with their disjoint union, and the unique with , , which satisfies , and ); it does not converge (FALSE: every bounded sequence converges).
Convergence of real sequences (Limits and Cauchy sequences of reals); a sequence that is eventually converges to ; the reciprocal Archimedean property (For every in a complete ordered field there is a natural with ); no real bounds every canonical natural (Every complete ordered field is Archimedean, Lower bound, bounded below, bounded set).
Algebra of limits, in particular the scalar-multiple rule (Algebra of limits: sums, scalar multiples, products and quotients).
Order arithmetic: (Canonical naturals are positive and strictly increasing) hence invertible with positive inverse, and reciprocation reverses the order (Inverses of positives are positive, and reciprocation reverses order); and (Basic properties of the absolute value); the order is total and transitive (Complete ordered field (least-upper-bound property), Ordered field).
Counterexample
is a summability matrix: row vanishes at every , so is an admissible bound for row .
Every column of converges to : for fixed , the entry is nonzero only when or , so for every and the column is eventually .
Every row sum is : , so the row sums form the constant sequence and converge to .
The row absolute sums are not bounded above: , and no real exceeds every canonical natural.
converges to : , and given a real and a natural with , every has .
The transform of by is .
does not converge: were , then would converge to by the scalar-multiple rule, contradicting [L3].
So has null columns and row sums tending to , yet transforms the convergent sequence into a divergent one and is therefore not regular; the claim is false, and by A summability matrix with only finitely many nonzero entries per row is regular iff each column tends to , the row sums tend to , and the row absolute sums are uniformly bounded what fails is exactly the uniform bound on the row absolute sums, as step 1.4 confirms.
Remarks
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Exactly one condition fails, and the counterexample is arranged so. The columns are eventually and the row sums are constantly , so conditions 1 and 2 of A summability matrix with only finitely many nonzero entries per row is regular iff each column tends to , the row sums tend to , and the row absolute sums are uniformly bounded hold outright; only the uniform bound fails, and the failure is visible in a single line, being unbounded.
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How the failure is exploited. The two entries of row are large and of opposite sign, so they nearly cancel on a slowly varying input and do not cancel at all on an alternating one. The input is chosen so that the large factors and exactly cancel the small factors and , leaving the undamped oscillation . That is the gliding hump of the necessity proof in A summability matrix with only finitely many nonzero entries per row is regular iff each column tends to , the row sums tend to , and the row absolute sums are uniformly bounded, in its simplest possible instance.
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The failure is the stronger of the two possible ones. A matrix can be irregular by changing a limit, for instance and all other entries , whose row sums tend to rather than and which sends to . The matrix above destroys convergence altogether.
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Contrast with the Cesaro matrix, whose rows are nonnegative and sum to , so its row absolute sums are constantly and it is regular (The Cesaro matrix satisfies the Silverman-Toeplitz conditions, giving a second proof of the Cesaro mean theorem). Uniform boundedness of the row absolute sums is what stops a weighting from amplifying, and it is the only one of the three conditions that is not tested by a single fixed input.
Depends on
A summability matrix with only finitely many nonzero entries per row is regular iff each column tends to , the row sums tend to , and the row absolute sums are uniformly bounded
A summability (Toeplitz) matrix, the transformed sequence , and regularity
Limits and Cauchy sequences of reals
Sequences of reals: bounded, eventually, frequently, tails, subsequences
Finite sums and finite products, by recursion
Laws of finite sums and finite products
The even and odd index maps and the alternating sequence: strictly increasing with their disjoint union, and the unique with , , which satisfies , and
FALSE: every bounded sequence converges
Algebra of limits: sums, scalar multiples, products and quotients
For every in a complete ordered field there is a natural with
Every complete ordered field is Archimedean
Lower bound, bounded below, bounded set
Basic properties of the absolute value
Inverses of positives are positive, and reciprocation reverses order
Canonical naturals are positive and strictly increasing
Complete ordered field (least-upper-bound property)
Ordered field