Memoirs on Differential Equations and Mathematical Physics

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1 Memoirs on Differential Equations and Mathematical Physics Volume 31, 2004, T. Tadumadze and L. Alkhazishvili FORMULAS OF VARIATION OF SOLUTION FOR NON-LINEAR CONTROLLED DELAY DIFFERENTIAL EQUATIONS WITH CONTINUOUS INITIAL CONDITION

2 Abstract. Formulas of variation of solution for controlled differential equations with variable delays are proved. The continuous initial condition means that at the initial moment the values of the initial function and the trajectory coincide Mathematics Subject Classification. 34K99. Key words and phrases: Delay differential equation, variation formulas of solution.! "$# % & % ' "(!& "! )"(*$ # % *(, & - & *( & % *$!"!. / %. % & & 0 )

3 THE FORMULAS OF VARIATION OF SOLUTION 85 Introduction In the present work the formulas of variation of solution for controlled differential equations with variable delays are proved. These formulas play an important role in proving necessary conditions of optimality for optimal problems. The formulas of variation of solution for various classes of delay differential equations are given in [1] [4]. 1. Formulation of Main Results Let J = [a, b] be a finite interval; O R n, G R r be open sets. Let the function f : J O s G R n satisfy the following conditions: for almost all t J, the function f(t, ) : O s G R n is continuously differentiable; for any (x 1,..., x s, u) O s G, the functions f(t, x 1,..., x s, u), f xi (t, x 1,..., x s, u), i = 1,..., s, f u (t, x 1,..., x s, u) are measurable on J ; for arbitrary compacts K O, M G there exists a function m K,M ( ) L(J, R ), R = [0, ), such that for any (x 1,..., x s, u) K s M and for almost all t J, the following inequality is fulfilled f(t, x 1,..., x s, u) f xi ( ) f u ( ) m K,M (t). Let the scalar functions τ i (t), i = 1,..., s, t R, be absolutely continuous and satisfy the conditions: τ i (t) t, τ i (t) > 0, i = 1,..., s. Let Φ be the set of piecewise continuous functions ϕ : J 1 = [τ, b] O with a finite number of discontinuity points of the first kind, satisfying the conditions cl ϕ(j 1 ) O, τ = min{τ 1 (a),..., τ s (a)}, ϕ = sup{ ϕ(t), t J 1 }; Ω be the set of measurable functions u : J G satisfying the condition: cl{u(t) : t J } is a compact lying in G, u = sup{ u(t) : t J }. To every element = (, ϕ, u) A = J Φ Ω, let us correspond the differential equation with the continuous initial condition ẋ(t) = f(t, x(τ 1 (t)),..., x(τ s (t)), u(t)) (1.1) x(t) = ϕ(t), t [τ, ]. (1.2) Definition 1.1. Let = (, ϕ, u) A, < b. A function x(t) = x(t; ) O, t [τ, t 1 ], t 1 (, b], is said to be a solution of the equation (1.1) with the initial condition (1.2), or a solution corresponding to the element A, defined on the interval [τ, t 1 ], if on the interval [τ, ] the function x(t) satisfies the condition (1.2), while on the interval [, t 1 ] it is absolutely continuous and almost everywhere satisfies the equation (1.1). Let us introduce the set of variation V = {δ = (δ, δϕ, δu) : δ α = const, δϕ = k λ i δϕ i, λ i α, i = 1,..., k, δu α, δu Ω ũ}, (1.3)

4 86 T. Tadumadze and L. Alkhazishvili where δϕ i Φ ϕ, i = 1,..., k, ϕ Φ, ũ Ω are fixed functions, α > 0 is a fixed number. Let x(t) be a solution corresponding to the element = (, ϕ, ũ) A, defined on the interval [τ, t 1 ], t i (a, b), i = 0, 1. There exist numbers ε 1 > 0, δ 1 > 0 such that for an arbitrary (ε, δ ) [0, ε 1 ] V, to the element εδ A there corresponds a solution x(t; εδ ) defined on [τ, t 1 δ 1 ] J 1 (see Lemma 2.2). Due to uniqueness, the solution x(t, ) is a continuation of the solution x(t) on the interval [τ, t 1 δ 1 ]. Therefore the solution x(t) in the sequel is assumed to be defined on the interval [τ, t 1 δ 1 ]. Let us define the increment of the solution x(t) = x(t; ) x(t) = x(t; εδ ) = x(t; εδ ) x(t), (t, ε, δ ) [τ, t 1 δ 1 ] [0, ε 1 ] V. (1.4) Theorem 1.1. Let the function ϕ(t) be absolutely continuous in some left semi-neighborhood of the point and let there exist the finite limits lim ω ω 0 ϕ = ϕ( ), f[ω] = f, ω = (t, x 1,..., x s ) (a, ] O s, f[ω] = f(ω, ũ(t)), ω 0 = (, ϕ(τ 1 ( )),..., ϕ(τ s ( ))). Then there exist numbers ε 2 > 0, δ 2 > 0 such that for an arbitrary (t, ε, δ ) [, t 1 δ 2 ] [0, ε 2 ] V, V = {δ V : δ 0}, the formula is valid, where x(t; εδ ) = εδx(t; δ ) o(t; εδ ) 1 (1.5) δx(t; δ ) = Y ( ; t) [ ( ϕ f )δ δϕ( ) ] β(t; δ ), (1.6) β(t; δ )= τ i() Y (γ i (ξ); t) f xi [γ i (ξ)] γ i (ξ)δϕ(ξ)dξ Y (ξ; t) f u [ξ]δu(ξ)dξ, γ i (t) = τi 1 (t), fxi [t] = f xi (t, x(τ 1 (t),..., x(τ s (t)), Y (ξ; t) is the matrix-function satisfying the equation Y (ξ; t) ξ = Y (γ i (ξ); t) f xi [γ i (ξ)] γ i (ξ), ξ [, t], (1.7) 1 Here and in the sequel, the values (scalar or vector) which have the corresponding order of smallness uniformly for (t, δ ), will be denoted by O(t; εδ ), o(t; εδ ).

5 THE FORMULAS OF VARIATION OF SOLUTION 87 and the condition Y (ξ; t) = { I, ξ = t, Θ, ξ > t. Here I is the identity matrix, Θ is the zero matrix. (1.8) Theorem 1.2. Let the function ϕ(t) be absolutely continuous in some right semi-neighborhood of the point and let there exist the finite limits lim ω ω 0 ϕ = ϕ( ), f[ω] = f, ω = (t, x 1,..., x s ) [, b) O s, ω 0 = (, ϕ(τ 1 ( )),..., ϕ(τ s ( ))). Then for any s 0 (, t 1 ) there exist numbers ε 2 > 0, δ 2 > 0 such that for an arbitrary (t, ε, δ ) [s 0, t 1 δ 2 ] [0, ε 2 ] V, V = {δ V : δ 0}, the formula (1.5) is valid, where δx(t; δ ) has the form δx(t; δ ) = Y ( ; t) [ ( ϕ f )δ δϕ( ) ] β(t; δ ). (1.9) The following theorem follows from Theorems 1.1 and 1.2. Theorem 1.3. Let the conditions of Theorems 1.1 and 1.2 be fulfilled. Moreover, let ϕ f = ϕ f = f 0, and the functions δϕ i (t), i = 1,..., k be continuous at the point (see (1.3)). Then for any s 0 (, t 1 ) there exist numbers ε 2 > 0, δ 2 > 0 such that for an arbitrary (t, ε, δ ) [s 0, t 1 δ 2 ] [0, ε 2 ] V the formula (1.5) is valid, where δx(t; εδ ) has the form δx(t; δ ) = Y (, t) [ f 0 δ δϕ( ) ] β(t; δ ). 2. Auxiliary Lemmas To every element = (, ϕ, u) A, let us correspond the functionaldifferential equation ẏ(t) = f(, ϕ, u, y)(t) = = f ( t, h(, ϕ, y)(τ 1 (t)),..., h(, ϕ, y)(τ s (t)), u(t) ) (2.1) with the initial condition y( ) = ϕ( ), (2.2) where the operator h( ) is defined by the formula { ϕ(t), t [τ, ], h(, ϕ, y)(t) = y(t), t [, b]. (2.3)

6 88 T. Tadumadze and L. Alkhazishvili Definition 2.1. Let = (, ϕ, u) A. An absolutely continuous function y(t) = y(t; ) O, t [r 1, r 2 ] J, is said to be a solution of the equation (2) with the initial condition (2.2), or a solution corresponding to the element A, defined on the interval [r 1, r 2 ], if [r 1, r 2 ], y( ) = ϕ( ) and the function y(t) satisfies the equation (2) almost everywhere on [r 1, r 2 ]. Remark 2.1. Let y(t; ), t [r 1, r 2 ], A, be a solution of the equation (2) with the initial condition (2.2). Then the function x(t; ) = h(, ϕ, y( ; ))(t), t [r 1, r 2 ], (2.4) is a solution of the equation (1.1) with the initial condition (1.2) (see Definition 1.1, (2.3)). Lemma 2.1. Let ỹ(t), t [r 1, r 2 ] (a, b), be a solution corresponding to the element A; let K 1 O be a compact which contains some neighborhood of the set cl ϕ(j 1 ) ỹ([r 1, r 2 ]) and let M 1 G be a compact which contains some neighborhood of the set cl ũ(j ). Then there exist numbers ε 1 > 0, δ 1 > 0 such that for an arbitrary (ε, δ ) [0, ε 1 ] V, to the element εδ A there corresponds a solution y(t; εδ ) defined on [r 1 δ 1, r 2 δ 1 ] J. Moreover, ϕ(t) = ϕ(t) εδϕ(t) K 1, t J 1, u(t) = ũ(t) εδu(t) M 1, t J, y(t; εδ ) K 1, t [r 1 δ 1, r 2 δ 1 ], lim y(t; εδ ) = y(t; ) ε 0 uniformly for (t, δ ) [r 1 δ 1, r 2 δ 1 ] V. This lemma is analogous to Lemma 2.1 in [1, p. analogously. (2.5) 21] and it is proved Lemma 2.2. Let x(t), t [τ, t 1 ] be a solution corresponding to the element A, t i (a, b), i = 0, 1; let K 1 O be a compact which contains some neighborhood of the set cl ϕ(j 1 ) x([, t 1 ]) and let M 1 G be a compact which contains some neighborhood of the set cl ũ(j ). Then there exist numbers ε 1 > 0, δ 1 > 0 such that for any (ε, δ ) [0, ε 1 ] V, to the element εδ A there corresponds the solution x(t; εδ ), t [τ, t 1 δ 1 ] J 1. Moreover, x(t; εδ ) K 1, t [τ, t 1 δ 1 ], u(t) = ũ(t) εδu(t) M 1, t J. (2.6) It is easy to see that if in Lemma 2.1 r 1 =, r 2 = t 1, then ỹ(t) = x(t), t [, t 1 ]; x(t; εδ ) = h(, ϕ, y( ; εδ ))(t), (t, ε, δ ) [τ, t 1 δ 1 ] [0, ε 1 ] V (see (2.4)). Thus Lemma 2.2 is a simple corollary (see (2.5)) of Lemma 2.1.

7 THE FORMULAS OF VARIATION OF SOLUTION 89 Due to uniqueness, the solution y(t; ) on the interval [r 1 δ 1, r 2 δ 1 ] is a continuation of the solution ỹ(t); therefore the solution ỹ(t) in the sequel is assumed to be defined on the whole interval [r 1 δ 1, r 2 δ 1 ]. Let us define the increment of the solution ỹ(t) = y(t; ), y(t) = y(t; εδ ) = y(t; εδ ) ỹ(t), It is obvious (see Lemma 2.1) that (t, ε, δ ) [r 1 δ 1, r 2 δ 1 ] [0, ε 1 ] V. (2.7) lim y(t; εδ ) = 0 uniformly for (t, δ ) [r 1 δ 1, r 2 δ 1 ] V. (2.8) ε 0 Lemma 2.3 ([1, p. 35]). For arbitrary compacts K O, M G there exists a function L K,M ( ) L(J, R ) such that for an arbitrary x i, x i K, i = 1,..., s, u, u M and for almost all t J, the inequality f(t, x 1,..., x s, u ) f(t, x 1,..., x s, u ) ( ) L K,M (t) x i x i u u (2.9) is valid. Lemma 2.4. Let the conditions of Theorem 1.1 be fulfilled. Then there exist numbers ε 2 > 0, δ 2 > 0 such that for any (ε, δ ) [0, ε 2 ] V the inequality max y(t) O(εδ ) (2.10) t [,r 2δ 2] is valid. Moreover, y( ) = ε [ δϕ( ) ( ϕ f )δ ] o(εδ ). (2.11) Proof. Let us define the following sets I 1 = { i {1,..., s} : τ i ( ) <, γ i ( ) > r 2 }, I 2 = { i {1,..., s} : τ i ( ) <, γ i ( ) r 2 }, I 3 = { i {1,..., s} : τ i ( ) = }. Let ε 2 (0, ε 1 ], δ 2 (0, δ 1 ] be so small that for any (ε, δ ) [0, ε 2 ] V the following relations are fulfilled: γ i ( ) > r 2 δ 2, i I 1, τ i ( ) <, i I 2. The function y(t) on the interval [, r 2 δ 1 ] satisfies the equation y(t) = a(t; εδ ), (2.12) where a(t; εδ ) = f(, ϕ, u, ỹ y)(t) f(, ϕ, ũ, ỹ)(t). (2.13)

8 90 T. Tadumadze and L. Alkhazishvili Now let us rewrite the equation (2.13) in the integral form y(t) = y( ) Hence y(t) y( ) a(ξ, εδ ) dξ, t [, r 2 δ 1 ]. a(ξ; εδ ) dξ = y( ) a 1 (t; εδ ). (2.14) Now let us prove the equality (2.11). It is easy to see that y( ) = y( ; εδ ) ỹ( ) = ϕ( ) Next, So, f(, ϕ, u, ỹ y)(t) dt ϕ( ). lim δϕ() = δϕ( ), uniformly for δ V. ε 0 (2.15) ϕ( ) ϕ( ) = It is clear that 0 ϕ(t) dt εδϕ( ) ε(δϕ( ) δϕ( )) = = ε[ ϕ δ δϕ( )] o(εδ ). lim h(, ϕ, ỹ y)(τ i (t)) = ϕ(τ i ( )), i = 1,..., s, (ε,t) (0, ) (see (2.3), (2.8)). Consequently, lim sup ε 0 t [,] From (2.17) it follows that (2.16) f(, ϕ, ỹ y)(t) f = 0 (2.17) f(t0, ϕ, u, ỹ y)(t) dt = εf δ [ f(, ϕ, u, ỹ y)(t) f ] dt = εf δ o(εδ ). (2.18) From (2.15), by virtue of (2.16), (2.18), we obtain (2.11). Now, to prove the inequality (2.10), let us estimate the function a 1 (t, εδ ), t [, r 2 δ 2 ]. We

9 THE FORMULAS OF VARIATION OF SOLUTION 91 have a 1 (t; εδ ) = ( ) L K1,M 1 (ξ) h(, ϕ, ỹ y)(τ i (ξ)) h(, ϕ, ỹ)(τ i (ξ)) ε δu(ξ) dξ i I 1 r 2δ 2 L K1,M 1 (ξ)δϕ(τ i (ξ)) dξ i I 2 τ i() L K1,M 1 (γ i (ξ)) h(, ϕ, ỹ y)(ξ) h(, ϕ, ỹ)(ξ) γ i (ξ) dξ L K1,M 1 (ξ) y(ξ) γ i (ξ) dξ O(εδ ) O(εδ ) i I 3 i I 2 τ i() L K1,M 1 (γ i (t)) h(, ϕ, ỹ y)(t) ϕ(t) γ i (t) dt L(ξ) y(ξ) dξ, where L(ξ) = χ(γ i (ξ))l K1,M 1 (γ i (ξ)) γ i (ξ), and χ(t) is the characteristic function of the interval J. If I k =, we assume that i I k α i = 0. Let I 2, and i I 2, β i = τ i() L K1,M 1 (γ i (t)) h(, ϕ, ỹ y)(t) ϕ(t) γ i (t) dt = = ε 0 L K1,M 1 (γ i (t)) δϕ(t) γ i (t) dt τ i() L K1,M 1 (γ i (t)) y(t, εδ ) ϕ(t) γ i (t) dt.

10 92 T. Tadumadze and L. Alkhazishvili It is obvious that when t [, ], y(t, εδ ) ϕ(t) = ϕ( ) O(εδ ) ϕ(t) dt f(, ϕ, u, ỹ y)(ξ) dξ ϕ(t) f(, ϕ, u, ỹ y)(t) dt. (2.19) For sufficiently small ε 2 the integrands are bounded, hence β i = O(εδ ) (see (2.18)). Thus, a 1 (t; εδ ) O(εδ ) L(ξ) y(ξ) dξ. (2.20) From (2.14), on account of (2.11), (2.20), on the interval t [, r 2 δ 2 ] we have y(t) O(εδ ) L(ξ) y(ξ) dξ. From which, by virtue of Gronwall s lemma, we obtain (2.10). Lemma 2.5. Let the conditions of Theorem 2 be fulfilled. Then there exist numbers ε 2 > 0, δ 2 > 0 such that for any (ε, δ ) [0, ε 2 ] V the inequality max y(t) O(εδ ) (2.21) t [,r 2δ 2] is valid. Moreover, ] y( ) = ε [δϕ( ) ( ϕ f )δ o(εδ ). (2.22) This lemma is proved analogously to lemma 2.4. Let r 1 =, r 2 = t 1, A, then 3. Proof of Theorem 1.1 ỹ(t) = x(t), t [, t 1 δ 1 ], y(t; εδ ) = x(t; εδ ), t [, t 1 δ 1 ], (εδ ) [0, ε 1 ] V (see Lemmas 2.1 and 2.2). Thus εδϕ(t), t [τ, ), x(t) = y(t; εδ ) ϕ(t), t [, ], y(t), t [, t 1 δ 1 ] (see (1.4), (2.7)).

11 THE FORMULAS OF VARIATION OF SOLUTION 93 By virtue of Lemma 2.4 and (2.19), there exist numbers ε 2 (0, ε 1 ], δ 2 (0, δ 1 ] such that x(t) O(εδ ) (t, ε, δ ) [τ, t 1 δ 2 ] [0, ε 2 ] V, (3.1) } x( ) = ε {δϕ( ) ( ϕ f )δ o(εδ ). (3.2) The function x(t) on the interval [, t 1 δ 2 ] satisfies the following equation x(t) = f xi [t] x(τ i (t)) ε f u [t]δu(t) R(t; εδ ), (3.3) where R(t; εδ )=f(t, x(τ 1 (t)) x(τ 1 (t)),..., x(τ s (t)) x(τ s (t)), ũ(t)εδu(t)) f[t] f xi [t] x(τ i (t)) ε f u [t]δu(t). (3.4) By means of the Cauchy formula, the solution of the equation (3.3) can be represented in the form where x(t) = Y ( ; t) x( ) ε Y (ξ; t) f u [ξ]δu(ξ) dξ 1 h i (t;, εδ ), t [, t 1 δ 1 ], (3.5) i=0 h 0 (t;, εδ ) = h 1 (t;, εδ ) = τ i() Y (γ i (ξ); t) f xi [γ i (ξ)] γ i (ξ) x(ξ) dξ, Y (ξ; t)r(ξ; εδ ) dξ. (3.6) The matrix function Y (ξ; t) satisfies the equation (1.7) and the condition (1.8). By virtue of Lemma 3.4 [1, p. 37], the function Y (ξ; t) is continuous on the set Π = {(ξ, t) : a ξ t, t J }. Hence } Y ( ; t) x( ) = εy ( ; t) {δϕ( ) ( ϕ f )δ o(t; εδ ) (3.7) (see (3.3)).

12 94 T. Tadumadze and L. Alkhazishvili Now we transform h 0 (t;, εδ ). We have h 0 (t;, εδ ) = [ ε 0 Y (γ i (ξ); t) f xi [γ i (ξ)] γ i (ξ)δϕ(ξ) dξ i I 1 I 2 τ i() ] Y (γ i (ξ); t) f xi [γ i (ξ)] γ i (ξ) x(ξ) dξ = [ ] εα i (t) β i (t). It is easy to see that i I 1 I 2 α i (t) = τ i() Y (γ i (ξ); t) f xi [γ i (ξ)] γ i (ξ)δϕ(ξ) dξ Y (γ i (ξ); t) f xi [γ i (ξ)] γ i (ξ)δϕ(ξ) dξ, (see (2.19). Thus, β i (t) = o(t; εδ ) h 0 (t;, εδ ) = = ε τ i() Y (γ i (ξ); t) f xi [γ i (ξ)] γ i (ξ)δϕ(ξ) dξ o(t; εδ ). (3.8) Finally we estimate h 1 (t;, εδ ). We have: t 1δ 2 1 [ h 1 (t;, εδ ) Y d dξ f(t, x(τ 1(t)) ξ x(τ 1 (t)),..., Y 0 x(τ s (t)) ξ x(τ s (t)), u(t) ξεδu(t)) ] f xi [t] x(τ i (t)) ε f u [t]δu(t) dξ dt t 1δ 2 { 1 0 [ f xi (t, x(τ 1 (t)) ξ x(τ 1 (t)),..., ) f xi [t] x(τ i (t)) ] } ε f u (t, x(τ 1 (t)) ξ x(τ 1 (t)),..., ) f u [t] δu(t) dξ dt ( Y O(εδ ) ) σ i (εδ ) εασ 0 (εδ ), (3.9)

13 THE FORMULAS OF VARIATION OF SOLUTION 95 where Thus σ i (εδ ) = σ 0 (εδ ) = t 1δ 2 [ 1 0 t 1δ 2 [ 1 By Lebesgue s theorem 0 Y = sup Y (ξ; t), (ξ,t) Π f xi (t, x(τ 1 (t)) ξ x(τ 1 (t)),... ) f xi [t] ] dξ dt, fu (t, x(τ 1 (t)) ξ x(τ 1 (t)),... ) f u [t] dξ ]dt. lim σ i(εδ ) = 0, i = 0,..., s, uniformly for δ V. ε 0 h 1 (t;, εδ ) o(t; εδ ). (3.10) From (3.5), taking into account (3.7), (3), (3.10), we obtain (1.5), where δx(t; δ ) has the form (1.6). 4. Proof of Theorem 1.2 Analogously to the proof of Theorem 1.1, by virtue of Lemma 2.5 we obtain x(t) O(εδ ) (t, εδ ) [τ, t 1 δ 2 ] (0, ε 2 ] V, (4.1) x( ) = ε[δϕ( ) ( ϕ f )δ ] o(εδ ). (4.2) Let s 0 (, t 1 ) be the fixed point and let a number ε 2 (0, ε 1 ] be so small that for an arbitrary(ε, δ ) [0, ε 2 ] V the inequalities < s 0, τ i ( ) <, i I 1 I 2 are valid. The function x(t) satisfies the equation (3.3) on the interval [, t 1 δ 2 ], which by means of the Cauchy formula can be represented in the form x(t) = Y ( ; t) x( ) ε Y (ξ, t) f u [ξ]δu(ξ) dξ 1 h i (t;, εδ ), t [, t 1 δ 2 ], (4.3) i=0 where the functions h i (t;, εδ ), i = 0, 1, have the form (3.6) By virtue of Lemma 3.4 [1, p. 37], the function Y (ξ; t) is continuous on the set [, s 0 ] [s 0, t 1 δ 2 ]. Hence Y ( ; t) x( ) = εy ( ; t)[δϕ( ) ( ϕ f )δ ] o(t; εδ ). (4.4)

14 96 T. Tadumadze and L. Alkhazishvili Now we transform h 0 (t;, εδ ): h 0 (t;, εδ ) = [ ε Y (γ i (ξ); t) f xi [γ i (ξ)] γ i (ξ)δϕ(ξ) dξ 0 i I 1 I 2 τ i() ] Y (γ i (ξ); t) f xi [γ i (ξ)] γ i (ξ) x(ξ) dξ i I 3 0 Y (γ i (ξ); t) f xi [γ i (ξ)] γ i (ξ) x(ξ) dξ = τ i() = (εα i (t) β i (t)) σ i (t). i I 1 I 2 i I 3 It is obvious that β i (t) = o(t; εδ ), σ i (t) = o(t; εδ ). Next, α i (t) = Y (γ i (ξ); t) f xi [γ i (ξ)] γ i (ξ)δϕ(ξ) dξ τ i() τ i() Y (γ i (ξ); t) f xi [γ i (ξ)] γ i (ξ)δϕ(ξ) dξ. τ i() Consequently = ε τ i() h 0 (t;, εδ ) = Y (γ i (ξ); t) f xi [γ i (ξ)] γ i (ξ)δϕ(ξ) dξ o(t; εδ ). (4.5) The following estimation is proved analogously (see (3.9)). Finally we note that ε Y (ξ; t) f u [ξ]δu(ξ)dξ = ε h 1 (t;, εδ ) o(t; εδ ) (4.6) Y (ξ; t) f u [ξ]δu(ξ)dξ o(t; εδ ) (4.7) From (4.3), taking into account (4.4) (4.7), we obtain (1.5), where δx(t; δ ) has the form (1.9).

15 THE FORMULAS OF VARIATION OF SOLUTION 97 References 1. G. Kharatishvili, T. Tadumadze, and N. Gorgodze, Continuous dependence and differentiability of solution with respect to initial data and right-hand side for differential equations with deviating argument. Mem. Differential Equations Math. Phys. 19(2000), T. Tadumadze, Local representations for the variation of solutions of delay differential equations. Mem. Differential Equations Math. Phys. 21(2000), L. Alkhazishvili, About local representations of the variation of solutions for one class controlled system with delays. Rep. Enlarged Sess. Semin. I. Vekua Inst. Appl. Math. 15, (2000), No. 1 3, T. Tadumadze and L. Alkhazishvili, Formulas of variation of solution for nonlinear controlled delay differential equations with discontinuous initial condition. Mem. Differential Equations Math. Phys. 29(2003), Authors addresses: (Received ) T. Tadumadze I. Vekua Institute of Applied Mathematics I. Javakhishvili Tbilisi State University 2, University St., Tbilisi 0143 Georgia L. Alkhazishvili Department of Applied Mathematics and Computer Sciences I. Javakhishvili Tbilisi State University 2, University St., Tbilisi 0143 Georgia

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