21.7. LYAPUNOV SCHMIDT PROCEDURE 565

Then

X2 = kerD1f ((0,0) ,0) ={(

): β ∈ R

}and X1 =

{(α

0

): α ∈ R

}and clearly D1f ((0,0) ,0) is indeed one to one on X1.

D1f (0,0)(X1) =

{(yy

): y ∈ R

}= Y1

In this case, let

Q(

α

β

)=

(α+β

2α+β

2

)=

(1/2 1/21/2 1/2

)(α

β

)

so (I−Q) =

(1/2 −1/2−1/2 1/2

). Thus the equations are

Qf (x,λ ) = 0(I−Q)f (x,λ ) = 0

This reduces to (− 1

2 x2 + 12 xy+ x+ y2 + 1

2 λ + 12 sinλ

− 12 x2 + 1

2 xy+ x+ y2 + 12 λ + 1

2 sinλ

)=

(00

)( 1

2 x2 + 12 yx− 1

2 λ + 12 sinλ

− 12 x2− 1

2 yx+ 12 λ − 1

2 sinλ

)=

(00

)Note how in both the top and the bottom, there is only one equation and one can solvefor x in terms of y,λ near (0,0,0) which is what the above general argument shows. Ofcourse you can see this directly using the implicit function theorem. Then can you solve fory = y(λ )? This would involve trying to solve for y as a function of λ in the following wherex(y,λ ) comes from the first equations.

12

x2 (y,λ )+12

yx(y,λ )− 12

λ +12

sinλ = 0

If you can do this, then you would have found (x,y) as a function of λ for small λ .

In this example, in the top equation, at (0,0,0) ,xy = 0. Also xλ =−1 so x(y,λ )≈−λ

other than higher order terms for small y,λ . Then in the bottom equation, for all variablesvery small, you would have λ

2 +y(−λ )−λ + sin(λ ) = 0, y(λ ) =−1+ sin(λ )λ

+λ at leastapproximately. Thus it seems there is a nonzero solution to the equation f (x,y,λ ) = 0which is valid for small λ ,x,y, this in addition to the zero solution. Note that for smallnonzero λ ,−1 + sin(λ )

λ+ λ ̸= 0. It equals approximately λ − λ

2

3! for small λ from thepower series for sin .

In the next example, the same procedure gives a solution to a problem

f ((x,y) ,λ ) = 0

such that for small λ , (x,y) is a function of λ which is nonzero and

f ((0,0) ,λ ) = 0

Thus for small λ , there are two solutions to the nonlinear system of equations.

21.7. LYAPUNOV SCHMIDT PROCEDURE 565Thenand x1 = { (X> =kerD, f ((0,0),0) = {( 5 ) :B er}OR) [aE Rh and clearly D, f ((0,0) ,0) is indeed one to one on X\.ri(0.0)(x) = { ( : ) yer} =¥;op) (ee) (8 ta )(5)so (I—Q) = ( M ‘0 th ) Thus the equations areIn this case, letOf(#,A) = 0U-Q)f(#,A) = 0px tgaytaty’ + aA +3 sind _ 05x + 5xy+xt+y?+5A455inA ~ 05x7 + Syx— 5A 45 sind _ 05x" — gyx+5A—4sind 7 0Note how in both the top and the bottom, there is only one equation and one can solvefor x in terms of y,A near (0,0,0) which is what the above general argument shows. Ofcourse you can see this directly using the implicit function theorem. Then can you solve fory=y(A)? This would involve trying to solve for y as a function of d in the following wherex(y,A) comes from the first equations.This reduces toI 5 1 1 1.3° (yA) + sx (y,A)—5A+ 5 sind =0If you can do this, then you would have found (x,y) as a function of A for small 1.In this example, in the top equation, at (0,0,0) ,x, = 0. Also xy = —1 so x(y,A) %—Aother than higher order terms for small y, 2. Then in the bottom equation, for all variablesvery small, you would have A? + y(—A) —A +sin(A) =0, y(A) =—14+ sin() +A at leastapproximately. Thus it seems there is a nonzero solution to the equation f (x,y,A) =0which is valid for small A,x,y, this in addition to the zero solution. Note that for smallnonzero A2,—1+ sin() +A #0. It equals approximately A — a for small A from thepower series for sin.In the next example, the same procedure gives a solution to a problemf ((x%,y),4) =0such that for small A, (x,y) is a function of A which is nonzero andf ((0,0),4) =0Thus for small /, there are two solutions to the nonlinear system of equations.