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In Mathematical, the inequality of Cauchy-Schwarz , also called inequality of Schwarz , or inequality of Cauchy-Bunyakovski-Simart-Schwarz , meets in many fields such as the Linear algebra with the Vecteur S, the analyzes with the series and in Intégration with the integrals of products.
It owes its name with Hermann Amandus Schwarz and Augustin Louis Cauchy.
The inequality is stated in the following way:
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For all X and there elements of a real Space préhilbertien or complex
The two members are equal if and only if X and is there linearly dependant S.
Consequences
A consequence of the inequality of Cauchy-Schwarz is that the scalar Produit is a continuous function .
In the case of the Euclidean Space provided with the canonical scalar product, the inequality of Cauchy-Schwarz is written:
In the case of the functions with complex values of Square integrable, the inequality of Cauchy-Schwarz is written:
These two last formulations are generalized by the Inégalité of Hölder.
Demonstration
Let us show the result in the case of a complex préhilbertien.
Inequality
That is to say (X, there) a couple of vectors. Even if it means to multiply X by a scalar of the form , with real, one can suppose that the product is real there, and one obtains:
Thus, the polynomial with real coefficients of unknown factor X, is positive on according to the preceding relation. It cannot thus have two distinct real roots. This implies that its discriminant is negative. One obtains:
Case of equality
If vectors X and are bound there, one can without loss general information suppose that . One from of deduced immediately:
Reciprocally, let us suppose that one has the equality If y=0, the vectors are dependant. If y 0, the polynomial above is written:
Real case
In the case of a real space the demonstration is similar. One can also propose a slightly different proof:
The proof for is commonplace, one thus considers . For one a:
\ langle X, X \ rangle -2 \ lambda \ langle X, there \ rangle + \ lambda^2 \ langle there, there \ rangle.
Let us take so that:
Thus
Then
This proof can easily be adapted to the complex case.
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