Body adiposity index

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In mathematics, the Lyapunov–Schmidt reduction or Lyapunov–Schmidt construction is used to study solutions to nonlinear equations in the case when the implicit function theorem does not work. It allows to reduce infinite-dimensional equations in Banach spaces to finite-dimensional equations.

Problem setup

Let

f(x,λ)=0

be the given nonlinear equation, X,Λ, and Y are Banach spaces (Λ is the parameter space). f(x,λ) is the Cp-map from a neighborhood of some point (x0,λ0)X×Λ to Y and the equation is satisfied at this point

f(x0,λ0)=0.

For the case when the linear operator fx(x,λ) is invertible, the implicit function theorem assures that there exists a solution x(λ) satisfying the equation f(x(λ),λ)=0 at least locally close to λ0.

In the opposite case, when the linear operator fx(x,λ) is non-invertible, the Lyapunov–Schmidt reduction can be applied in the following way.

Assumptions

One assumes that the operator fx(x,λ) is a Fredholm operator.

kerfx(x0,λ0)=X1 and X1 has finite dimension.

The range of this operator ranfx(x0,λ0)=Y1 has finite co-dimension and is a closed subspace in Y.

Without loss of generality, one can assume that (x0,λ0)=(0,0).

Lyapunov–Schmidt construction

Let us split Y into the direct product Y=Y1Y2, where dimY2<.

Let Q be the projection operator onto Y1.

Let us consider also the direct product X=X1X2.

Applying the operators Q and IQ to the original equation, one obtains the equivalent system

Qf(x,λ)=0
(IQ)f(x,λ)=0

Let x1X1 and x2X2, then the first equation

Qf(x1+x2,λ)=0

can be solved with respect to x2 by applying the implicit function theorem to the operator

Qf(x1+x2,λ):X2×(X1×Λ)Y1

(now the conditions of the implicit function theorem are fulfilled).

Thus, there exists a unique solution x2(x1,λ) satisfying

Qf(x1+x2(x1,λ),λ)=0

Now substituting x2(x1,λ) into the second equation, one obtains the final finite-dimensional equation

(IQ)f(x1+x2(x1,λ),λ)=0

Indeed, the last equation is now finite-dimensional, since the range of (IQ) is finite-dimensional. This equation is now to be solved with respect to x1, which is finite-dimensional, and parameters :λ

References

  • Louis Nirenberg, Topics in nonlinear functional analysis, New York Univ. Lecture Notes, 1974.