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On minimax theorems for lower semicontinuous functions in Hilbert spaces
Optimization and Control · Submitted 10 Jan 2016
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim We prove minimax theorems for lower semicontinuous functions defined on a Hilbert space.
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The abstract, sentence by sentence
We prove minimax theorems for lower semicontinuous functions defined on a Hilbert space. The main tool is the theory of $\Phi$-convex functions and sufficient and necessary conditions for the minimax equality to hold for $\Phi$-convex functions. These conditions are expressed in terms of abstract $\Phi$-subgradients.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | We prove minimax theorems for lower semicontinuous functions defined on a Hilbert space. | contribution 0.80 | 0.96 | 0.86 | asserted 1.00 |
| s1 | The main tool is the theory of $\Phi$-convex functions and sufficient and necessary conditions for the minimax equality to hold for $\Phi$-convex functions. | method 0.97 | 0.60 | 0.14 | asserted 1.00 |
| s2 | These conditions are expressed in terms of abstract $\Phi$-subgradients. | method 0.54 | 0.80 | 0.09 | asserted 1.00 |
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The paper
Original abstract
We prove minimax theorems for lower semicontinuous functions defined on a Hilbert space. The main tool is the theory of $\Phi$-convex functions and sufficient and necessary conditions for the minimax equality to hold for $\Phi$-convex functions. These conditions are expressed in terms of abstract $\Phi$-subgradients.
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