Examples And Counterexemples In Convex Integration Theory


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Convex Integration Theory


Convex Integration Theory

Author: David Spring

language: en

Publisher: Birkhäuser

Release Date: 2012-12-06


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§1. Historical Remarks Convex Integration theory, first introduced by M. Gromov [17], is one of three general methods in immersion-theoretic topology for solving a broad range of problems in geometry and topology. The other methods are: (i) Removal of Singularities, introduced by M. Gromov and Y. Eliashberg [8]; (ii) the covering homotopy method which, following M. Gromov's thesis [16], is also referred to as the method of sheaves. The covering homotopy method is due originally to S. Smale [36] who proved a crucial covering homotopy result in order to solve the classification problem for immersions of spheres in Euclidean space. These general methods are not linearly related in the sense that succes sive methods subsumed the previous methods. Each method has its own distinct foundation, based on an independent geometrical or analytical insight. Conse quently, each method has a range of applications to problems in topology that are best suited to its particular insight. For example, a distinguishing feature of Convex Integration theory is that it applies to solve closed relations in jet spaces, including certain general classes of underdetermined non-linear systems of par tial differential equations. As a case of interest, the Nash-Kuiper Cl-isometrie immersion theorem ean be reformulated and proved using Convex Integration theory (cf. Gromov [18]). No such results on closed relations in jet spaees can be proved by means of the other two methods.

Counterexamples in Optimal Control Theory


Counterexamples in Optimal Control Theory

Author: Semen Ya. Serovaiskii

language: en

Publisher: Walter de Gruyter

Release Date: 2011-12-01


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This monograph deals with cases where optimal control either does not exist or is not unique, cases where optimality conditions are insufficient of degenerate, or where extremum problems in the sense of Tikhonov and Hadamard are ill-posed, and other situations. A formal application of classical optimisation methods in such cases either leads to wrong results or has no effect. The detailed analysis of these examples should provide a better understanding of the modern theory of optimal control and the practical difficulties of solving extremum problems.

Counterexamples in Measure and Integration


Counterexamples in Measure and Integration

Author: René L. Schilling

language: en

Publisher: Cambridge University Press

Release Date: 2021-06-17


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Explore measure and integration theory by asking 'What can go wrong if...' with this selection of over 300 counterexamples.