Concatenation and the Sup-Convolution of a Sum in Separated Variables
lemmaAnalysisMultivariable Calculuslem:sup-convolution-separate-variables-2026aRecords that concatenation carries origins to the origin and is compatible with coordinatewise convergence, and shows that the sup-convolution of a function of the form is the sum of the sup-convolutions of and with the same parameter.
Throughout we work in the setting of Real Matrices, Symmetric Matrices and the Semidefinite Ordering: Standing Notation, whose notation is in force in the dimensions , and , for natural numbers and with and . In particular is the concatenation map, a bijection; we abbreviate . By claims 2, 3 and 4 of Concatenation Identifies a Product of Euclidean Spaces with a Euclidean Space the map is linear and satisfies
for all and .
Let and be functions whose sets of values have upper bounds and in , and let be the function determined by
which is well defined and defined at every point of because is a bijection. Let satisfy . Then the following hold.
1. (Origins and coordinatewise convergence) ¶ . Moreover, let be a sequence in , let be a sequence in , let and let . Then converges to in if and only if converges to in and converges to in .
2. (The sum is bounded above) ¶ The real number is an upper bound for the set of values of . Consequently the sup-convolutions , and of , and with parameter are all defined.
3. (The sup-convolution separates) ¶ For all and ,
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