Proof of A Linear Perturbation Producing a Sequentially Strict Maximum under a Coercive Bound
corollarycor:perturbed-maximum-linear-hilbert-2026aThe coercive bound makes the function obtained by adding a small multiple of the squared norm bounded above, with a near-maximiser whose norm is bounded independently of the multiple; applying the perturbed maximum principle to it and expanding the square turns the quadratic perturbation into a linear one of small norm.
Let be positive and fix , which is possible because is nonempty.
Preliminaries. The map is continuous on , since by The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §reverse-triangle; hence, by Continuity Between Metric Spaces is Equivalent to Sequential Continuity and claims 2 and 3 of Arithmetic of Limits of Real Sequences, for every the map is continuous on .
Put . From the hypothesis, , and by claim 5 of Elementary Arithmetic in an Ordered Field, so and hence by claim 3 of Elementary Arithmetic in an Ordered Field; since by claim 8 of Elementary Order Arithmetic in an Ordered Field, claim 2 of that lemma gives . Let be the nonnegative real number with , given by Existence and Uniqueness of the Nonnegative Square Root. Then is positive, and we may choose a positive with
for instance the least of and , which is one of them and hence positive, by claim 9 of Elementary Order Arithmetic in an Ordered Field.
The auxiliary function. Let be given by . By the preliminaries the map , , is continuous, and , so has closed superlevel sets in by claim 3 of Functions with Closed Superlevel Sets: Sequential Characterisation, Semicontinuity, Perturbation and Limits. Moreover, for ,
since and , using claim 5 of Elementary Arithmetic in an Ordered Field. So is bounded above and exists.
A near-maximiser of bounded norm. By claim 3 of Approximation Property of the Supremum and the Infimum in there is with
Since and , we get . Combining with the displayed bound gives
hence and therefore , both numbers being nonnegative, by claim 1 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field and trichotomy.
Applying the perturbed maximum principle. Apply A Perturbed Maximum Principle of Borwein-Preiss Type in a Real Hilbert Space to , , , the positive numbers and , and the point , whose defining inequality is the displayed one above since . It yields and such that and such that the function attains a sequentially strict maximum on at .
By The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §triangle, . Set . Then, by Elementary Identities in a Real Inner Product Space §homogeneity,
Identifying the perturbation. By Elementary Identities in a Real Inner Product Space §expansion, , so for
where the last step uses , by conditions (a) and (c) of Real Inner Product Space §inner-product.
Thus the function differs from by the constant , and therefore attains a sequentially strict maximum on at by claim 3 of Elementary Properties of Sequentially Strict Extrema. Since , this proves the corollary.
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Prerequisites
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