Frechet Derivatives and the Implicit function theorem

In this section $X,$ $X_{1},\cdots $ etc and $Y$ are Banach spaces over $\Bbbk ,$ $U=U$ MATH is an open neighbourhood of $u$.

m-linear Bounded Operators

An operator
MATH
is called $m$-linear and bounded if it is linear in each of its arguments and there exists a $C>0$ such that
MATH
The norm of $M$ is defined by
MATH
Then
MATH

Proposition

Every $m$-linear bounded operator is continuous.

In the sequel we will write MATH for MATH

Frechet Derivatives

Definition

Suppose $f:U\rightarrow Y.$

  1. The differential of $f$ at $u$ exists if there exists a bounded linear operator MATH such that
    MATH
    with
    MATH

  2. The second differential of $f$ at $u$ exists if there exists a bounded bilinear operator MATH such that
    MATH
    with
    MATH

    Inductively we define

  3. The $\left( n+1\right) $th differential of $f$ at $u$ exists if there exists a bounded $\left( n+1\right) $-linear operator MATH such that
    MATH
    with
    MATH

The differentials MATH are also dentoed by MATH We also write MATH =MATH and so on. The diferentials MATH are called the Frechet derivatives of $f$ at $u.$ To formally find the Frechet derivatives we use the formula
MATH
Once we have a formula for the derivative we proceed to prove that it is the desired one. This involves establishing two things:

  1. the resulting operator is multilinear,bounded, and

  2. the remainder is MATH

Definition

MATH is continuous at $u$ if for each $\varepsilon >0$ there exists a MATH such that
MATH

This means that for all MATH and all MATH
MATH
$\ $

Definition

MATH is called a $C^{k}$ function if MATH is continuous on $U.$

Example

If MATH has continuous paritial derivatives of order $k$ then $f$ is $C^{k}$ and
MATH
where MATH

Proof

($N=2,\ k=1$) write MATH Then

MATH for some MATH Hence, MATH where
MATH
so that
MATH
and the continuity of the partial derivatives give that MATH

Example

(Bilinear Operators)

Suppose MATH is a bilinear bounded operator. Then $B$ is $C^{\infty }.$

Proof

Set MATH MATH MATH Let's illustrate first the formal calculation of $dB\left( u\right) $ and MATH
MATH
Next, we verify that these are the required derivatives. We begin with $dB\left( u\right) $

  1. MATH Then MATH i.e., $dB\left( u\right) $ is a bounded linear operator on $X_{1}\times X_{2}$ into $Y$ .

  2. MATH where MATH Hence, MATH

Similarly, for MATH we have:

  1. MATH Then MATH MATH i.e., MATH is a bounded bilinear operator on MATH into $Y$ .

  2. MATH where $r=0.$

Next we establish the continuity of MATH
MATH
Hence, MATH i.e., $dB\left( u\right) $ is actually Lipschitz continuous. The continuity of MATH is easier to see since it is independent of $u.$ Finally, MATH

Proposition

Suppose $f,g:U\rightarrow Y$ have Frechet derivatives of order $n.$ Then
MATH

Partial Derivatives

Suppose MATH Let MATH and define the function $g$ by
MATH
If $dg\left( u\right) $ exists, we define the partial Frechet derivative MATH of $f$ at $\left( u,v\right) $ by
MATH
The partial derivative MATH of $f$ at $\left( u,v\right) $ is defined in a similar manner. Partial derivatives are also denoted by MATH

Proposition

If MATH exists then MATH and MATH both exist and
MATH

Proof

With the above definition of $g$ we have
MATH
where MATH i.e., $dg\left( u\right) $ exists and MATH Hence,
MATH
Similarly,
MATH
Using the linearity of MATH we obtain the assertion of the proposition.




Application to Analytic Operators

Power Operators

Let MATH be a $k$-linear bounded operator which is symmetric with respect ot all its arguments. This means that $M$ is invariant under any permutation of its argument. A power operator generated by $M$ is defined by
MATH
and
MATH
where $m+n=k.$

Properties of Power Operators

  1. MATH

  2. MATH

    (e.g., for MATH since $M$ is symmetric.)

  3. MATH when MATH

    To see this, we write
    MATH

  4. $Mu^{k}$ has Lipschitz continuous derivatives of all orders and
    MATH
    For example, when $j=1,$
    MATH
    where MATHwith
    MATH
    Also, MATH which shows the continuity of the operator $kMu^{k-1}.$ Hence, MATH The Lipschitz continuity of MATH can be shown as follows:
    MATH
    for MATH

Power Series

Suppose MATH is a power operator for $k=0,1,\cdots .$ Furthermore, suppose that the series
MATH
for all MATH $\rho >0.$ The operator MATH defined by
MATH
is called a power series. Note that () gurantees that $A\left( u\right) $ is a well defined element of $Y.$

Definition

An operator MATH is called analytic at the point $u_{0}\in U$ if there exists a $\rho >0$ such that $A\left( u\right) $ admits a power series representation () that is absolutely convergent (i.e., () converges) for every MATH

Theorem

If MATH is analytic at the point $u_{0}\in U$ then $A\in C^{\infty }$ on MATH for any $\varepsilon >0,$ where $\rho $ is as in Definition . Moreover, MATH $j=0,1,$ $\cdots $ can be found by term by term differentiation of ().

Proof

We will show that
MATH
For this we have
MATH
and
MATH
where
MATH
Now, for MATH
MATH
Furthermore,
MATH
where MATH Since MATH as MATH then MATH Hence,
MATH
Therefore,
MATH
where MATH It remains to show that MATH This follows from
MATH
The statement about higher derivatives can be shown in the same manner.

A Useful Formula for Calculating Higher Derivatives

Proposition

Suppose MATH is a bounded bilinear operator, MATH such that MATH exist at some point $t\in U.$ Then MATH is differentiable and
MATH   

Proof


MATH
where MATH Hence,
MATH

Example

Denote the subset of MATH of operators with bounded inverse by MATHDefine
MATH
by
MATH
Then $\Phi $ is analytic at $I$, and
MATH
for all MATH and all MATH

Proof

For MATH let $H=A-I$. Then
MATH
Since the series
MATH
converges, it follows that the series for MATH is absolutely convergent. Hence $\Phi $ is analytic at $I.$ To find MATH we use the formal calculation
MATH
Now noting that $E\mapsto EBA$ is a bilinear operator, we use formula to compute higher derivatives of $\Phi $. For the second derivative we get
MATH
This formula can, in turn, be used to obtain higher derivatives of $\Phi .$

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