MATHEMATICS
I. V. SUKHAREVSKII
Submitted 1958-01-01 | RussiaRxiv: ru-195801.86623 | Translated from Russian

Abstract

Full Text

MATHEMATICS

I. V. SUKHAREVSKII

ON (\lambda)-STABILITY OF SOLUTIONS OF OPERATOR EQUATIONS IN BANACH SPACE

(Presented by Academician V. I. Smirnov on 15 VII 1957)

Let, for each (\lambda) from a simply connected domain (\Lambda) of the complex-variable plane, there be defined a linear completely continuous operator (A_{(\lambda)}), mapping a Banach space (E) into (E_{(\lambda)} \subset E), and suppose that (A_{(\lambda)}) depends analytically on (\lambda) in the domain (\Lambda) in the sense of convergence in norm: in a neighborhood of each point (\lambda_0 \in \Lambda)

[
A_{(\lambda)}=\sum_{j=0}^{+\infty}(\lambda-\lambda_0)^j A_j,
\tag{1}
]

where (A_j) are linear (bounded) operators. Suppose that (A_{(\lambda)}) has at least one regular point in (\Lambda). Then (\left(^{1,2}\right)) (R_{(\lambda)}=(I-A_{(\lambda)})^{-1}) is a meromorphic operator in (\Lambda).

Denote by (F_\lambda) the subspace of the space (E) consisting of those elements (f) for which the equation

[
u-A_{(\lambda)}u=f
\tag{2}
]

is solvable for fixed (\lambda \in \Lambda). The solution of equation (2) at a regular point (\lambda) ((F_\lambda=E)) will be denoted by (u_\lambda).

Definition. A value (\lambda_0 \in \Lambda) will be called a stability point of the operator (A_{(\lambda)}) if, for every (f \in F_{\lambda_0}), there exists

[
\lim_{\lambda\to\lambda_0} u_\lambda = u_{(\lambda_0)}
\tag{3}
]

in the sense of strong convergence(^*).

Here, obviously, (u_{(\lambda_0)}) is a solution of equation (2) for (\lambda=\lambda_0), and if the point (\lambda_0) is regular, then (u_{(\lambda_0)}=u_{\lambda_0}). We shall call the solution (u_{(\lambda_0)}) (\lambda)-stable.

The stability points include, obviously, all regular points of the operator (A_{(\lambda)}). But spectral points may also fail to be stable in the sense indicated above. For example, if (A_{(\lambda)}=\lambda A), then no multiple pole of the resolvent is a stability point (this follows directly from Theorem 1 of the present note). The aim of the present note is to clarify criteria for stability of spectral points of the operator (A_{(\lambda)}), depending on the parameter (\lambda) in general nonlinearly, and the properties of (\lambda)-stable solutions.

Let (\lambda_0) be a spectral point of the operator (A_{(\lambda)}), in a neighborhood of which (R_{(\lambda)}) has the expansion

[
R_{(\lambda)}=\sum_{j=-m}^{+\infty}(\lambda-\lambda_0)^j R_j;
]

(^*) It is not difficult to show that, if the limit (3) does not exist in the sense of strong convergence, then it also does not exist in the sense of weak convergence.

({u_j}{j=1}^n) is a basis of the eigensubspace (E_0) of the operator (A);
({V_j}_{j=1}^n) is a basis of the eigensubspace (E_0^) of the adjoint operator (A_{(\lambda_0)}^) ((E_0^ \subset E^;\ E^*) is the space of functionals adjoint to (E)).

From the expansions (1), (4) and the equalities

[
R_{(\lambda)}(I-A_{(\lambda)})=(I-A_{(\lambda)})R_{(\lambda)}=I
\tag{4}
]

it follows that

[
(I-A_0)R_k=
\begin{cases}
0, & \text{for } k=-m;\[4pt]
I+\displaystyle\sum_{j=1}^{m} A_jR_{-j}, & \text{for } k=0;\[8pt]
\displaystyle\sum_{j=1}^{m+k} A_jR_{k-j}, & \text{for } k>-m,\ k\ne 0;
\end{cases}
\tag{5}
]

[
R_k(I-A_0)=
\begin{cases}
0, & \text{for } k=-m;\[4pt]
I+\displaystyle\sum_{j=1}^{m} R_{-j}A_j, & \text{for } k=0;\[8pt]
\displaystyle\sum_{j=1}^{m+k} R_{k-j}A_j, & \text{for } k>-m,\ k\ne 0.
\end{cases}
\tag{6}
]

From the equalities (5), (6) it is clear that the operators (R_{-1}, R_{-2}, \ldots, R_{-m}) are of finite rank, and moreover

[
R_{-m}f=\sum_{i,j=1}^{n}\gamma_{ij}u_iV_j(f)
\tag{7}
]

((\gamma_{ij}) are scalars). With the aid of the same equalities (5), (6), it is easy to establish the following proposition.

Theorem 1. Every simple pole (\lambda_0) of the resolvent is a point of stability; moreover, the (\lambda)-stable solution (u_{(\lambda_0)}) is uniquely singled out from the (n)-parameter family of solutions of the equation

[
u-A_{(\lambda_0)}u=f \qquad (f\in F_{\lambda_0})
\tag{8}
]

by the conditions

[
V_j\bigl(A_1u_{(\lambda_0)}\bigr)=0 \qquad (j=1,\ldots,n).
\tag{9}
]

If, however, (\lambda_0) is a multiple pole of the resolvent and, at the same time, the functionals (\omega_j(f)=V_j(A_1f)) ((j=1,2,\ldots,n)) are linearly independent in (E), then (\lambda_0) does not belong to the points of stability.

In connection with this theorem, it is of interest to obtain a necessary and sufficient condition under which the eigenvalue (\lambda_0) is a simple pole of the resolvent. Such a condition is contained in the following theorem.

Theorem 2. In order that the pole (\lambda_0) of the resolvent (R_{(\lambda)}) be simple ((m=1)), it is necessary and sufficient that

[
\det{V_j(A_1u_i)}\ne 0,
\tag{10}
]

or, equivalently, that the eigensubspaces (E_0) and (E_0^) have bases ({u_i^0}), ({V_i^0}), biorthogonal with respect to the operator (A_1):*

[
V_i^0(A_1u_j^0)=\delta_{ij}.
\tag{11}
]

Theorem 2 is a generalization of a known result of Goursat (³) on resolvent kernels corresponding to Fredholm equations.

Theorem 3. Let (\lambda_0) be an eigenvalue of rank (n=1) (with total multiplicity of the pole (m\geqslant 1)); let (u_1) be an eigenvector of the operator (A_{(\lambda_0)}=A_0); and let (V_1) be an eigenfunctional of the adjoint operator (A^*_{(\lambda_0)}). Then a necessary and sufficient condition for (\lambda_0) to belong to the stability points is that

[
V_1(A_su_1)\ne 0,
\tag{12}
]

where the index (s) is defined by the condition: (V_1(A_sf)) is the first functional, not identically equal to zero, in the sequence*

[
V_1(A_1f),\quad V_1(A_2f),\ldots,\quad V_1(A_kf),\ldots
\tag{13}
]

In this case, the characteristic property distinguishing the (\lambda)-stable solution (u_{(\lambda_0)}) from the family of solutions of equation (2) for (\lambda=\lambda_0) and (f\in F_{(\lambda_0)}) is the equality

[
V_1(A_su_{(\lambda_0)})=0.
\tag{14}
]

Proof. First of all, note that (\lambda_0) is a stability point if and only if (R_{-k}f=0) ((k=1,2,\ldots,m)) for every (f\in F_{\lambda_0}). But for this it is necessary and sufficient that, for all (f\in E),

[
R_{-k}f=z_{m-k}V_1(f)\quad (k=1,2,\ldots,m),
\tag{15}
]

where (z_{m-k}) are certain fixed elements of the space (E). The sufficiency of such representations of the operators (R_{-k}) is obvious. The necessity can easily be established by means of the equalities (5).

Suppose first that (s=1), i.e.

[
V_1(A_1f)\ne 0.
]

If, in addition, (V_1(A_1u_1)\ne 0), then, by Theorems 1 and 2, (\lambda_0) is a stability point and the (\lambda)-stable solution satisfies condition (14) for (s=1). Now let (V_1(A_1u_1)=0) and, consequently (by Theorem 2), (m>1). Then (see (7)) (R_{-m}f=\gamma u_1V_1(f)) ((\gamma\ne 0)) and

[
R_{-m+1}(I-A_0)f=\gamma u_1V_1(A_1f),
]

and, since (V_1(A_1f)\ne 0), (R_{-m+1}) is not representable in the form (15), and thus (\lambda_0) is not a stability point.

Consider the case (s>1). Then (m>1) and

[
R_{-m+j}f=z_jV_1(f)\quad [1\leqslant j<\mu=\min{s,m}].
\tag{16}
]

Indeed,

[
(I-A_0)R_{-m+1}f=\gamma A_1u_1\cdot V_1(f),
]

whence

[
R_{-m+1}f=u_1V(f)+x_1V_1(f)\quad (V\in E^*,\ x_1\in E).
]

But

[
R_{-m+1}(I-A_0)f=\gamma u_1V_1(A_1f)=0,
]

therefore (V=\alpha V_1) ((\alpha) is a scalar), and representation (16) for (j=1) holds. Similarly, if (\mu>2), then

[
(I-A_0)R_{-m+2}f=\gamma A_2u_1\cdot V_1(f)+A_1z_1\cdot V_1(f)=x_2\cdot V_1(f),
]

[
R_{-m+2}(I-A_0)f=\gamma u_1\cdot V_1(A_2f)+z_1\cdot V_1(A_1f)=0,
]

whence it follows that (16) is also valid for (j=2), and so on.

* It is easy to see that such an index (s) always exists: if, for all (k=1,2,\ldots) and every (f\in E), (V_1(A_kf)=0), then in some disk (|\lambda-\lambda_0|<\rho) one would have (V_1(A_{(\lambda)}f)=V_1(A_{(\lambda_0)}f)=V_1(f)), which is impossible, since the spectrum of the operator (A_{(\lambda)}) is discrete.

We shall now show that (m \ge s) and, consequently, (\mu=s).
If it were the case that (m<s), then from (6) and (16) it would follow that

[
R_0^\circ (I-A_0)u_1
=
u_1+\sum_{j=1}^{m} R_{-j}A_j u_1
=
u_1+\sum_{j=1}^{m} z_{m-j}V_1(A_j u_1)
=
u_1,
]

which is impossible, since ((I-A_0)u_1=0). Thus, (m \ge s).

If (m=s), then

[
0=R_0(I-A_0)u_1
=
u_1+\sum_{j=1}^{m-1} z_{m-j}V_1(A_j u_1)+R_{-m}A_m u_1
]

[

u_1{1+\gamma V_1(A_m u_1)},
]

whence

[
\gamma V_1(A_m u_1)=\gamma V_1(A_s u_1)=-1,
]

i.e. (V_1(A_s u_1)\ne 0).

If, however, (m>s), then

[
0=R_{-m+s}(I-A_0)u_1
=
\sum_{j=0}^{s-1} R_{-m+j}A_{s-j}u_1
]

[

\gamma u_1 V_1(A_s u_1)+\sum_{j=1}^{s-1} z_j V_1(A_{s-j}u_1)

\gamma u_1 V_1(A_s u_1),
]

and thus (V_1(A_s u_1)=0).

Thus, if (V_1(A_s u_1)\ne 0), then (m=s); if (V_1(A_s u_1)=0), then (m>s). In the first case, as is seen from (16), (\lambda_0) is a point of stability. In the second case ((m>s)),

[
R_{-m+s}(I-A_0)\hat f=\gamma u_1 V_1(A_s\hat f)\ne 0.
]

Consequently, (R_{-m+s}) cannot be represented in the form (15), and (\lambda_0) is not a point of stability.
Further, if (m=s), then, obviously,

[
u_{(\lambda_0)}=R_0\hat f \qquad (\hat f\in F_{\lambda_0}).
]

Moreover, from (5) it follows that

[
(I-A_0)R_s f
=
\sum_{j=1}^{2s} A_j R_{s-j} f
=
\sum_{j=1}^{s-1} A_j R_{s-j} f + A_s R_0^\circ f
\qquad (f\in F_{\lambda_0}),
]

whence

[
V_1(A_sR_0 f)
=
V_1((I-A_0)R_s f)
-
\sum_{j=1}^{s-1} V_1(A_jR_{s-j}f)
=
0
\qquad (f\in F_{\lambda_0}).
]

Thus, (V_1(A_su_{(\lambda_0)})=0), and, since (V_1(A_su_1)\ne 0), this condition uniquely singles out the (\lambda)-stable solution (u_{(\lambda_0)}) from the one-parameter family of solutions, which completes the proof of the theorem.

Kharkov Polytechnic Institute
named after V. I. Lenin

Received
12 VII 1957

REFERENCES CITED

  1. I. Ts. Gokhberg, DAN, 78, No. 4, 629 (1951).
  2. D. R. Kharazov, Tr. Tbilissk. matem. inst. AN GruzSSR, 19, 163 (1953).
  3. E. Goursat, Course of Mathematical Analysis, 3, part II, 1934, pp. 83–84.

Submission history

MATHEMATICS