Theorem of projection on convex closed
In mathematics, the theorem of orthogonal projection on convex closed is a result of minimization of the distance which generalizes the orthogonal Projection on a vector space. It can be stated for a convex part closed of a Euclidean Espace, or more generally of a Espace hilbertien.
Statement of the theorem
Are a Espace of Hilbert on or and M a closed convex whole (not vacuum) of . If indicates an unspecified vector of , the problem admits a single solution . One notes then
- .
This solution is characterized by the variational inequation :
Moreover projection : is 1-lipschitzienne and consequently uniformly continues .
Like shows it the following demonstration, it is enough to suppose that is a Espace préhilbertien and that M is a convex and complete part (not vacuum) of . Indeed only the complétude of M intervenes in the proof.
When is a space of Hilbert, very closed part is complete, which gives the result stated above.
This theorem is often stated as here within the framework of spaces of Hilbert, because it is the case in the majority of the practical situations.
Demonstration
-
first of all Let us show the equivalence of the initial definition with the variational inequation.
The coefficient of is strictly positive under the terms of our assumption. For sufficiently small not no one, the term in is strictly dominated by the term in and consequently the algebraic sum of the last two terms is strictly negative. Consequently in this case , which is contradictory.
Reciprocally let us suppose that the variational inequation is true. Then for all , which is the announced result.
-
the whole of realities admits a lower limit D (it is undervalued by 0). There thus exists at least a continuation minimizing of elements of M such as . We will show that it is a Suite of Cauchy.
- Prouvons that is well single solution initial problem. So indeed, was a different solution, one would have since the second term is strictly positive and the positive last (because of the variational inequation checked by ). This would contradict the fact that is solution.
- Is now two vectors and and is and their projections respective. As one can write
But the last two terms of the second member are positive (for the last, that comes from the variational inequations implying: and ). Consequently , which proves well that projection is 1-lipschitzienne .
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