GEORGIAN MATHEMATICAL JOURNAL: Vol. 6, No. 2, 1999, 107-126 ASYMPTOTIC DISTRIBUTION OF EIGENFUNCTIONS AND EIGENVALUES OF THE BASIC BOUNDARY-CONTACT OSCILLATION PROBLEMS OF THE CLASSICAL THEORY OF ELASTICITY T. BURCHULADZE AND R. RUKHADZE Abstract. The basic boundary-contact oscillation problems are considered for a three-dimensional piecewise-homogeneous isotropic elastic medium bounded by several closed surfaces. Using Carleman’s method, the asymptotic formulas for the distribution of eigenfunctions and eigenvalues are obtained. 1. After the remarkable papers of T. Carleman [1–2] the method based on the asymptotic investigation of the resolvent kernel (or of any other function of the considered operator) with a subsequenet use of Tauberian theorems has become quite popular. By generalizing Carleman’s method (and combining it with the variational one) A. Plejel [3] derived the asymptotic formulas for the distribution of eigenfunctions and eigenvalues of the boundary value oscillation problems of classical elasticity. Mention should also be made of T. Burchuladze’s papers [4–5], where the asymptotic formulas for the distribution of eigenfunctions of the boundary value oscillation problems are obtained for isotropic and anisotropic elastic bodies using integral equations and Carleman’s method. Further progress in this direction was made by R. Dikhamindzhia [6]. He obtained the asymptotic formulas for the distribution of eigenfunctions and eigenvalues for two- and threedimensional boundary value oscillation problems of couple-stress elasticity which generalize analogous formulas of classical elasticity. In his recent work M. Svanadze [7] derived the asymptotic formulas for oscillation boundary value problems of the linear theory of mixtures of two homogeneous isotropic elastic materials. 1991 Mathematics Subject Classification. 73C02. Key words and phrases. Carleman method, boundary-contact oscillation problems of elasticity, eigenfunctions and eigenvalues, asymptotic formulas for distribution, Green’s tensor. 107 c 1999 Plenum Publishing Corporation 1072-947X/99/0300-0107$15.00/0 108 T. BURCHULADZE AND R. RUKHADZE 2. Throughout the paper we shall use the following notation: x = P3 2 1/2 (x1 , x2 , x3 ), y = (y1 , y2 , y3 ) are points of R3 ; |x − y| = k=1 (xk − yk ) is the distance between the points x and y; D0 ⊂ R3 is a finite domain bounded by closed surfaces S0 , S1 , . . . , Sm of the class Ω2 (α) 0 < α ≤ 1 [8] with S0 covering all other Sk while the latter surfaces not covering each 6 k, i, k = 0, m; the finite domain bounded by Sk other; Si ∩ Sk = ∅ for i = m (k = 1, m) will be denoted by Dk ; D0 = D0 ∪ ∪ Sk , Dk = Dk ∪ Sk , k=0 k = 1, m. If u and v are the three-component real vectors u = (u1 , u2 , u3 ) and v = P3 (v1 , v2 , v3 ), then uv = i=1 ui vi is the scalar product of these vectors; |u| = P3 2 1/2 . The matrix product is obtained by multipliing a row by a i=1 ui column; the sign [·]T denotes the operation of transposition; if A = kAij k3×3 P3 2 . Any vector u = (u1 , u2 , u3 ) is is a 3 × 3 matrix, then |A|2 = i,j=1 Aij treated as a 3 × 1 one-column matrix: u = kui k3×1 ; Ak = kAjk k3j=1 is the k-th column vector of the matrix A. The vector u = (u1 , u2 , u3 ) will be called regular in Dk if ui ∈ C 1 (Dk ) ∩ C 2 (Dk ), i = 1, 2, 3. A system of differential homogeneous equations of oscillation of classical elasticity for a homogeneous isotropic elastic medium has the form [8] µ∆u + (λ + µ) grad div u + ρω 2 u = 0, (1) where u(x) = (u1 , u2 , u3 ) is the displacement vector, ∆ is the three-dimensional Laplace operator, ρ = const > 0 is the medium density, ω is the oscillation frequency, λ and µ are the elastic Lamé constants satisfying the natural conditions µ > 0, 3λ + 2µ > 0. We introduce the matrix differential operator A(∂x) = Aij (∂x)3×3 , Aij (∂x ) = δij µρ−1 ∆ + (λ + µ)ρ−1 ∂2 , ∂xi ∂xj where δij is the Kronecker symbol. Then equation (1) can be rewritten in the vector-matrix form A(∂x )u + ω 2 u = 0. The matrix-differential operator where T (∂x , n(x)) = Tij (∂x , n(x))3×3 , Tij (∂x , n(x)) = λρ−1 ni (x) ∂ ∂ ∂ + λρ−1 nj (x) + µρ−1 δij , ∂xj ∂xi ∂n(x) (2) ASYMPTOTIC DISTRIBUTION OF EIGENFUNCTIONS 109 n(x) is an arbitrary unit vector at the point x (if x ∈ Sk , then k = 0, m is the normal unit vector external with respect to the domain D0 ) is called the stress operator. It will be assumed that the domains Dk , k = 0, m0 are filled with homogeneous isotropic elastic media with the Lamé constants λk , µk and density ρk , while the other domains Dk , k = m0 + 1, m are hollow inclusions. When the operators A and T contain λk and µk instead of λ and µ, we shall write k k A and T , respectively. We introduce the notation u+ (z) = lim D0 3x→z∈Sk u(x), k = 0, m; u− (z) = lim Dk 3x→z∈Sk u(x), k = 1, m0 . ± The notation T (∂z , n(z))u(z) has a similar meaning. 3. A Kupradze matrix of fundamental solutions of the homogeneous equation of oscillation (2) has the form [8] Γ(x − y, ω 2 ) = Γkj (x − y, ω 2 ) , 3×3 where Γkj (x − y, ω 2 ) = ρδkj eik2 r ∂2 1 eik1 r − eik2 r − , 4πµ r 4πω 2 ∂xk ∂xj r (3) i is the imaginary unit, r = |x − y|, k1 and k2 are the nonnegative numbers defined by the equalities k12 = ρω 2 ρω 2 , k22 = . λ + 2µ µ (4) Let κ0 be an arbitrary real fixed positive integer and κ > κ0 be an arbitrary number. If in (3) we replace ω = iκ, then we obtain κr κr κr ρδkj e− c2 1 ∂2 e− c1 − e− c2 + , Γkj (x − y, −κ ) = 4πµ r 4πκ 2 ∂xk ∂xj r 2 (5) where c21 = (λ + 2µ)ρ−1 , c22 = µρ−1 . Since µ > 0 and 3λ + 2µ > 0, we have −1 1 λ + µ > 0 and λ + 2µ > µ. Hence c1 > c2 and c−1 1 < c2 . Let δ < 2c1 be an arbitrary positive integer. Then (5) can be rewritten as ρδkj −ακr e−δ1 κr e + 4πµ r −δκr 1 ∂2 e−δ1 κr −ακr e + , e − 4πκ 2 ∂xk ∂xj r r Γkj (x − y, −κ 2 ) = where δ1 = c12 − α = Moreover, 1 c2 − 1 c1 + δ > 0. (6) 110 T. BURCHULADZE AND R. RUKHADZE ∂ −ακr e−δ1 κr e−ακr −δ1 κr 1 ∂r e e = − κr ; − 1 ∂xj r r2 c2 ∂xj 3 ∂ 2 −ακr e−δ1 κr e−ακr −δ1 κr 3 + κr+ e e (2) = 3 ∂xk ∂xj r r c2 −ακr ∂r ∂r 1 e ∂r 1 −δ1 κr 1 + 2 κ 2 r2 + e − − κr δkj , 3 c2 ∂xj ∂xk r c2 ∂xk (1) (3) the functions (κr)n e−δ1 κr , n = 0, 1, 2, . . . are bounded in the interval κ ∈ [0, +∞). Taking into account the above arguments, from (6) we obtain the estimates ∂ n Γ (x − y, −κ 2 ) const pq (7) ≤ n+1 e−ακr , r ∂xi1 ∂xj2 ∂xk3 i + j + k = n; n = 0, 1, 2, . . . ; p, q = 1, 3. 4. Let x, y ∈ Dk , k = 0, m0 and ly be the distance from the point y to the boundary of Dk . Denote ρy (x) = max{r, ly }. and introduce an auxiliary matrix bk rm n k Γ(x − y, −κ 2 ) = 1 − 1 − m Γ(x − y, −κ 2 ), (8) ρy (x) k where Γ(x − y, −κ 2 ) is the Kupradze matrix of fundamental solutions for k the operator A(∂x) − κ 2 I (I is the 3 × 3 unit matrix). We denote by B(y, ly ) a sphere of radius ly and center at the point m n y, and by C(y, ly ) its boundary. It is easy to verify that 1 − ρmr (x) y vanishes together with its derivatives up to the (n − 1)-th order inclusive when the point x ∈ B(y, ly ) tends to the point of the boundary C(y, ly ). For x ∈ Dk \B(y, ly ) we have r m n 1− 1− m =1 ρy (x) and lim B(y,ly )3x→z∈C(y,ly ) Thus 1− 1− r m n = 1. ρm y (x) bk k Γ(x − y, −κ 2 ) = Γ(x − y, −κ 2 ) for x ∈ Dk \B(y, ly ), while, in passing the boundary C(y, ly ), the function bk Γ and its derivatives up to the (n − 1)th order inclusive remain continuous. ASYMPTOTIC DISTRIBUTION OF EIGENFUNCTIONS 111 bk We write Γ as bk k Γ(x − y, −κ 2 ) = Γ(x − y, −κ 2 ) nrm /ρm y (x) + · · · . bk It is easy ti find that Γ and its derivatives up to the (m − 2)-th order inclusive are continuous for x = y, while for x ∈ B(y, ly ) we have, by virtue of (7), the estimates bk ∂sΓ 2 const e−ακr m−s−1 pq (x − y, −κ ) , ≤ r j lym ∂xi1 ∂x2 ∂x3k p, q = 1, 3, i + j + k = s; m ≥ s + 1. 5. We determine the limit hk i k lim Γ(x − y, −κ 2 ) − Γ(x − y, −κ02 ) , x, y ∈ Dk , k = 0, m0 . x→y Taking into consideration the expansion κr κ3 2 1 κ κ2 e− c1 r− r + ··· , = − + 2 r r c1 2! c1 3! c31 we obtain κ0 r κr − e c2 κ0 − κ κ 2 − κ02 e − c2 + (1) r + ···, − = r r c2 2! c22 κr κr 1 1 1 1 e− c1 e− c2 − =κ − + κ2 − r+ (2) + r r c1 c2 2! c12 2! c22 1 1 +κ 3 − + r2 + · · · , 3 3! c1 3! c32 κr κr 1 1 ∂2r ∂2 e− c1 − e− c2 = κ2 − (3) + 2 ∂xk ∂xj r 2! c1 2! c22 ∂xk ∂xj 1 1 ∂ 2 r2 − +κ 3 + ··· , 6c23 6c13 ∂xk ∂xj (4) ∂ 2 r2 = 2δkj . ∂xk ∂xj By virtue of the above relations we have hk i k lim Γpq (x − y, −κ 2 ) − Γpq (x − y, −κ02 ) = x→y 3/2 = (κ0 − κ)ρk 3/2 4πµk δpq + 3/2 (κ0 − κ)ρk 12π 1 1 − δpq = 3/2 (λk + 2µk )3/2 µk (9) 112 T. BURCHULADZE AND R. RUKHADZE = 3/2 (κ0 − κ)ρk 12π 1 2 + δpq , 3/2 (λk + 2µk )3/2 µk p, q = 1, 3. (10) 6. Our further investigation will be carried out for the first problem. The other problems are treated analogously. We apply the term “Green’s tensor of the first basic boundary-contact k problem of the operator A(∂x) − κ02 I ” to the 3 × 3 matrix G(x, y, −κ02 ) = k m0 6 y, k ∈ 0, m0 which satisfies G(x, y, −κ02 ), x ∈ Dk , y ∈ D D = ∪ Dk , x = k=0 the following conditions: (1) ∀x ∈ Dk , ∀y ∈ D, x 6= y : k k k A(∂x)G(x, y, −κ02 )−κ02 G(x, y, −κ02 ) = 0, k = 0, m0 , ◦ k (2) ∀z ∈ Sk , ∀y ∈ D : G+ (x, y, −κ02 ) = G − (x, y, −κ02 ), ◦ k ◦ + k − T (∂z , n(z))G(z, y, −κ02 ) = T (∂z , n(z))G(z, y, −κ02 ) , k = 1, m0 , ◦ (3) ∀z ∈ Sk , ∀y ∈ D : G+ (z, y, −κ02 ) = 0, k = 0, m0 + 1, . . . , m; k k k (4) G(x, y, −κ02 ) = Γ(x − y, −κ02 )− g(x, y, −κ02 ), x ∈ Dk , y ∈ D, k = 0, m0 , k where g(x, y, −κ02 ) is a regular in Dk solution of the following problem: k k k (1) ∀x ∈ Dk , ∀y ∈ D : A(∂x)g(x, y, −κ02 )−κ02 g(x, y, −κ02 ) = 0, k = 0, m0 ; ◦ k (2) ∀z ∈ Sk , ∀y ∈ D : g + (z, y, −κ02 ) − g − (z, y, −κ02 ) = ◦ k = Γ(z − y, −κ02 ) − Γ(z − y, −κ02 ), ◦ + k − ◦ k T (∂z , n(z))g(z, y, −κ02 ) − T (∂z , n(z))g(z, y, −κ02 ) = ◦ ◦ k k = T (∂z , n(z))Γ(z − y, −κ02 ) − T (∂z , n(z))Γ(z − y, −κ02 ), k = 1, m0 ; ◦ ◦ (3) ∀z ∈ Sk , ∀y ∈ D : g + (z, y, −κ02 ) = Γ(z − y, −κ02 ), k = 0, m0 + 1, . . . , m; The solvability of this problem is shown in [8] and thereby the existence of G(x, y, −κ02 ) is proved. As is known [8], G(x, y, −κ02 ) possesses a symmetry property of the form G(x, y, −κ02 ) = GT (y, x, −κ02 ). (11) Moreover, we have the estimates [9] ∀(x, y) ∈ Dk × Dk : Gpq (x, y, −κ02 ) = O(|x − y|−1 ), ∂ Gpq (x, y, −κ02 ) = O(|x − y|−2 ), m, n, j = 1, 3; ∂xj k = 0, m0 . (12) ASYMPTOTIC DISTRIBUTION OF EIGENFUNCTIONS k 113 k 7. Let u(x) = u(x) and v(x) = v(x), x ∈ Dk , be arbitrary (regular) vectors of the class C 1 (Dk ) ∩ C 2 (Dk ), k = 0, m0 . Then the following Green formula is valid [8]: m0 Z X kkk k k k (v Au + E(v, u))dx = k=0D k Z ◦ ◦◦ v + (T u)+ ds + S m0 Z X ◦+ ◦ ◦ + k− k k − + v (T u) − v (T u) ds, (13) k=1S k where S = S0 m ∪ k=m0 +1 k k k E(v, u) = Sk , k ρ−1 µk X ∂ v p ρk−1 (3λk + 2µk ) k k + div v div u + k 3 2 ∂xq p6=q k k X ∂ vp ∂ uq ρ−1 ∂ v q ∂ up ∂ uq ∂ v q ∂ up k µk + + . (14) + − − ∂xp ∂xq ∂xp 3 ∂xp ∂xq ∂xp ∂xq p,q k k k k k k k k k k k k k k It follows from (14) that E(v, u) = E(u, v) and E(v, v) ≥ 0. For the regular in Dk , k = 0, m0 vector u(x) the following general integral representation is valid [8]: ∀y ∈ Dk : uj (y) = − + Z S m0 Z X k=0D k k k k k Γj (x − y, −κ 2 )(A(∂x)u(x) − κ 2 u(x))dx + ◦ k ◦ Γj (z − y, −κ 2 )(T (∂z , n(z))u(z))+ − ◦ ◦ ◦ −u+ (z)T (∂z , n(z))Γj (z − y, −κ 2 ) dz S + m0 Z X ◦ ◦ ◦ + Γj (z − y, −κ 2 )(T (∂z , n(z))u(z))+ − k=1S k k k k −Γj (z − y, −κ 2 )(T (∂z , n(z))u(z))− dz S − m0 Z X ◦ ◦ ◦+ − u (z)(T (∂z , n(z))Γj (z − y, −κ 2 ) − k=1S k k k k −u− (z)(T (∂z , n(z))Γj (z − y, −κ 2 ) dz S, j = 1, 2, 3. (15) 114 T. BURCHULADZE AND R. RUKHADZE 8. To establish the asymptotic behavior of eigenfunctions and eigenvalues we have to estimate the regular part of Green’s tensor g(x, y, −κ 2 ) as κ → ∞. To this end we consider the functional m0 Z m0 Z X X k k k ◦+ ◦ k L[u] = E(u, u) + κ 2 u2 dx − 2 u (z)T (∂z , n(z)) × k=0 D k=1S k k ◦ k k k ×Γj (z − y, −κ 2 ) − u− (z)(T (∂z , n(z))Γj (z − y, −κ 2 ) dz S, (16) where j = 1, 2, 3 is the fixed number and y is an arbitrary fixed point in Dk , k = 0, m0 , which is defined in the class of regular in Dk , k = 0, m0 , vector functions satisfying the conditions: k ◦ k ◦ (1) ∀z ∈ Sk : u+ (z) − u− (z) = Γj (z − y, −κ 2 ) − Γj (z − y, −κ 2 ), kk ◦◦ ◦ ◦ (T u(z))+ − (T u(z))− = T (∂z , n(z))Γj (z − y, −κ 2 )− k k T (∂z , n(z))Γj (z − y, −κ 2 ), k = 1, m0 , ◦ ◦ (2) ∀z ∈ Sk : u+ (z) = Γj (z − y, −κ 2 ), k = 0, m0 + 1, . . . , m. Theorem 1. The functional L takes a minimal value for u = gj (x, y,−κ 2 ). Proof. Let u be an arbitrary vector from the domain of definition of the functional L, and let v = u − gj . Then, with (14) taken into account, (16) implies m0 Z X k k k k k k k L[u] = L[v + gj ] = E(v + g j , v + g j ) + κ 2 (v + g j )2 dx − −2 = m0 Z X k=1S k k=0D k kk k k ◦ ◦ ◦◦ (v + g j )T Γj − (v − + g j − )T Γj ds = k k k k k k k k k k kk k E(v, v) + 2E(v, g j ) + E(g j , g j ) + κ 2 (v 2 + 2v g j + g j 2 ) dx − k=0D k m0 Z X − m0 Z X k=1S k m0 X ◦+ ◦ ◦ k kk v T Γj − v − T Γj ds − 2 = L[gj ] + m0 Z X k=0D k Z k=1S k kk ◦ + ◦ ◦ k g j T Γj − g j − T Γj ds = m0 X k k k k E(v, v) + κ 2 v 2 dx + 2 kk +κ 2 v g j dx − 2 m0 Z X k=1S k Z k=0D k k k k E(v, g j ) + ◦+ ◦ ◦ k kk v T Γj − v − T Γj ds. (17) ASYMPTOTIC DISTRIBUTION OF EIGENFUNCTIONS 115 Using the Green formula (13) for v = u − gj , u = gj and taking into kk k ◦ account that Ag j = κ 2 g j , v + (z) = 0 for z ∈ Sk , k = 0, m0 + 1, . . . , m, we obtain m0 Z m0 Z X X k k k ◦+ ◦ ◦ + k− k k − kk E(v, g j ) + κ 2 v g j dx = v (T g j ) − v (T g j ) ds. (18) k=0D k k=1S k ◦ ◦◦ k ◦◦ kk kk Now, since v + (z) = v − (z), (T g j )+ − (T g j )− = T Γj − T Γj for z ∈ Sk , k = 1, m0 (17) by virtue of (18) takes the form m0 Z X k k k k E(v, v) + κ 2 v 2 dx ≥ L[gj ]. L[u] = L[gj ] + k=0D k Theorem 2. The estimate gjj (y, y, −κ 2 ) − gjj (y, y, −κ02 ) ≤ const , y ∈ D, ly1+δ δ > 0, (19) holds for the function gjj (y, y, −κ 2 ). Proof. We write formula (15) for uj (x) = gjj (x, y, −κ 2 ) and Γj (x−y, −κ 2 ) = Gj (x − y, −κ 2 ). Then taking into account the boundary and contact conditions for g and G, we get =− Z ◦ ∀(x, y) ∈ Dk : gjj (x, y, −κ 2 ) = ◦ ◦ Γj (z − x, −κ 2 )(T (∂z , n(z))Gj (z, y, −κ 2 ))+ dz S − S m0 Z X ◦ ◦ ◦ + Gj (z, x, −κ 2 )T (∂z , n(z))Γj (z − y, −κ 2 ) − + k=1S k k k k −Gj − (z, x, −κ 2 )T (∂z , n(z))Γj (z − y, −κ 2 ) dz S − m0 Z X ◦ ◦ ◦ − Γj (z − x, −κ 2 )(T (∂z , n(z))Gj (z, y, −κ 2 ))+ − k=1S k k k k −Γj (z − x, −κ 2 )(T (∂z , n(z))Gj (z, y, −κ 2 ))− dz S. (20) Using formula (13) for u = v, (16) can be rewritten as Z m0 Z X ◦◦ k k ◦ k k u A(∂x )u(x) − κ 2 u(x) dx + u+ (z)(T u(z))+ dz S + L[u] = − k=0D k S 116 T. BURCHULADZE AND R. RUKHADZE + m0 Z X kk ◦◦ ◦+ k u (z)(T u(z))+ − u− (z)(T u(z))− dz S − k=1S k m0 Z X −2 k=1S k ◦ ◦+ ◦ u (z)T (∂z , n(z))Γj (z − y, −κ 2 ) − k k k −u− (z)T (∂z , n(z))Γj (z − y, −κ 2 ) dz S. (21) which for u(x) = gj (x, y, −κ 2 ) = Γj (x − y, −κ 2 ) − Gj (x, y, −κ 2 ) implies Z ◦ ◦ ◦ L[gj ] = Γj (z − y, −κ 2 )T (∂z , n(z))Γj (z − y, −κ 2 )dz S − − Z S ◦ + ◦ Γj (z − y, −κ 2 ) T (∂z , n(z))Gj (z, y, −κ 2 ) dz S + ◦ S m0 Z X + k=1S k ◦ ◦ ◦ Γj (z − y, −κ 2 )T (∂z , n(z))Γj (z − y, −κ 2 ) − k k k −Γj (z − y, −κ 2 )T (∂z , n(z))Γj (z − y, −κ 2 ) dz S + m0 Z X ◦ ◦ ◦ + Gj (z, y, −κ 2 )T (∂z , n(z))Γj (z − y, −κ 2 ) − + k=1S k k k k −Gj − (z, y, −κ 2 )T (∂z , n(z))Γj (z − y, −κ 2 ) dz S − m0 Z X ◦ ◦ ◦ Γj (z − y, −κ 2 )(T (∂z , n(z))Gj (z, y, −κ 2 ))+ − − k=1S k k k k −Γj (z − y, −κ 2 )(T (∂z , n(z))Gj (z, y, −κ 2 ))− dz S. (22) On the basis of (22), from (20) we obtain Z ◦ ◦ ◦ 2 gjj (y, y, −κ ) = L[gj ] − Γj (z − y, −κ 2 )T (∂z , n(z))Γj (z − y, −κ 2 )dz S + S m0 Z X ◦ ◦ ◦ + Γj (z − y, −κ 2 )T (∂z , n(z))Γj (z − y, −κ 2 ) − k=1S k k k k −Γj (z − y, −κ 2 )T (∂z , n(z))Γj (z − y, −κ 2 ) dz S. (23) ASYMPTOTIC DISTRIBUTION OF EIGENFUNCTIONS 117 bk The vector Γj (x − y, −κ 2 ) defined by (8) belongs to the domain of definition of the functional L and, since gj (x, y, −κ 2 ) imparts a minimal value to the functional L, it is obvious that b j ]. L[gj ] ≤ L[Γ Now (23) implies bj ] − gjj (y, y, −κ ) ≤ L[Γ 2 + m0 Z X ◦ ◦◦ (Γj T Γj k=1S k − Z ◦ ◦◦ Γj T Γj ds + S k kk Γj T Γj )ds, y ∈ Dk . (24) b from (21) we obtain By virtue of the properties of Γ, Z Z ◦ ◦◦ b j )dx + Γj T Γj ds − b j (AΓ bj − κ2 Γ bj ] = − Γ L[Γ S B(y,ly ) − m0 Z X k=1S k ◦ ◦◦ k kk (Γj T Γj − Γj T Γj )ds. (25) By (25) and (24) we have Z b j )dx, y ∈ Dk , k = 0, m0 . (26) b j (AΓ bj − κ2 Γ gjj (y, y, −κ 2 ) ≤ − Γ B(y,ly ) Taking into account estimates (9), for m = 5 we obtain const b Γmj (x, y, −κ 2 ) ≤ for s = 0, ly −ακr 2 b ij (x, y, −κ 2 ) ≤ κ 2 const e κ Γ r4 = ly5 const const = 5 r2 (κ 2 r2 )e−ακr ≤ 3 for s = 0, ly ly b j (x, y, −κ 2 ) ≤ const for s = 2. AΓ ly3 Hence (26) implies gjj (y, y, −κ 2 ) ≤ const const 4 3 const · πly ≤ ≤ 1+δ , ly4 3 ly ly where δ > 0 is an arbitrary integer. (27) 118 T. BURCHULADZE AND R. RUKHADZE Let us estimate gjj (y, y, −κ 2 ) from below. For this we introduce the notation: m0 Z m0 Z X X k k k k k k k k M [u] = E(u, u) + κ 2 u2 dx, M0 [u] = E(u, u) + κ02 u2 dx, k=0D k m0 Z X N [u] = k=1S k k=0D k kk ◦+ ◦ ◦ k u (z)T Γj (z − y, −κ 2 ) − u− (z)T Γj (z − y, −κ 2 ) dz S. Since κ02 ≤ κ 2 , we have L[gj (x, y, −κ 2 )] = min L[u] = min(M [u] − 2N [u]) ≥ min(Mo [u] − 2N [u]). Let the vector function ϕ(x, y) impart a minimal value to the functional M0 [u] − 2N [u]. Then ϕ(x, y) is a regular in Dk (k = 0, m0 ) solution of the following problem: k k k (1) ∀x ∈ Dk , ∀y ∈ D : A(∂x)ϕ(x, y) − κ02 ϕ(x, y) = 0, k = 0, m0 ; ◦ ◦ k k (2) ∀z ∈ Sk , ∀y ∈ D : ϕ+ (z, y)− ϕ− (z, y) = Γ(z −y, −κ 2 )− Γ(z −y, −κ 2 ), ◦◦ kk ◦◦ kk (T ϕ(z, y))+ − (T ϕ(z, y))− = T Γ(z − y, −κ 2 ) − T Γ(z − y, −κ 2 ); ◦ ◦ (3) ∀z ∈ Sk , ∀y ∈ D : ϕ+ (z, y) = Γ(z − y, −κ 2 ), k = 0, m0 + 1, . . . , m. Rewriting formula (15) for ϕ(x, y) with Γ = G, we obtain Z ◦ ◦ ◦ ∀(x, y) ∈ Dk : ϕ(x, y) = − Γj (z − x, −κ 2 )T Gj (z, y, −κ02 )dz s + S m0 Z X k ◦◦ ◦ Gj (z, x, −κ02 )T Γj (z, y, −κ 2 ) − Gj − (z, x, −κ02 ) × + k=1S k m0 X kk ×T Γj (z − y, −κ 2 ) dz s − Z k=1S k ◦ ◦ ◦ Γj (z − x, −κ 2 )(T Gj (z, y, −κ02 ))+ − k k k −Γj (z − x, −κ 2 )(T Gj (z, y, −κ02 )) dz s. (28) By (7) and (12) and the theorem on kernel composition [10] it follows from (28) that ∀(x, y) ∈ Dk × Dk : |ϕ(x, y)| ≤ const , k = 0, m0 , rxy = |x − y|. (29) rxy In that case L[gj (x, y, −κ 2 ) ≥ M0 [ϕ] − 2N [ϕ] ≥ −2N [ϕ] = ASYMPTOTIC DISTRIBUTION OF EIGENFUNCTIONS = −2 119 m0 Z X kk ◦◦ ◦+ k ϕ (z, y)T Γj (z −y,−κ 2 ) − ϕ− (z, y)T Γj (z −y,−κ 2 ) dz s. (30) k=1S k Now taking into account that const 1 ≤ , rzy ly const const ∀(z, y) ∈ Sk × Dk : |T Γj (z − y, −κ 2 )| ≤ 2 = ≤ 2−δ δ rzy rzy rzy ∀(z, y) ∈ Sk × Dk : |ϕ(z, y)| ≤ ≤ 1 1 · 2−δ , δ > 0, δ ly rzy from (30) we obtain L[gj ] ≥ − const , ly1+δ δ > 0. By virtue of representation (23) we can easily conclude that the estimate ∀y ∈ D : gjj (y, y, −κ 2 ) ≥ − const ly1+δ (31) holds. (27) and (31) imply (19). 9. Consider the first boundary-contact problem on eigenvalues: In the k domain Dk (k = 0, m0 ), find a regular vector w(x) = w(x), x ∈ Dk , which is a nontrivial solution of the equations k k k ∀x ∈ Dk : A(∂x)w(x) + γ w(x) = 0, k = 0, m0 , satisfying the contact conditions ◦ k ∀z ∈ Sk : w+ (z) = w− (z), ◦ ◦ k k (T w(z))+ = (T w(z))− , k = 1, m0 , and the boundary condition ◦ ∀z ∈ Sk : w+ (z) = 0, k = 0, m0 + 1, . . . , m. We denote this problem by Iγ . In the same manner as in [8] we can show that problem Iγ is equivalent to a system of integral equations Z 2 (32) w(x) = (γ + κ0 ) G(x, y, −κ02 )w(y)dy. D 120 T. BURCHULADZE AND R. RUKHADZE By virtue of (11) and (12) equation (32) is an integral equation with a symmetric kernel of the class L2 (D). Hence it follows that there exists a countable system of eigenvalues (γn + κ02 )∞ n=1 and the corresponding k (n) orthonormal in D system of eigenvectors {w(n) (x)}∞ (x)}∞ n=1 = {w n=1 , (n) ∞ x ∈ Dk , k = 0, m0 , of equation (32). Therefore (γn )n=1 and {w (x)}∞ n=1 are respectively the eigenvalues and eigenvectors of problem Iγ . As established in [8], all γn > 0. Moreover, it is proved in [11] that the system {w(n) (x)}∞ n=1 is complete in L2 (D). The properties of the volume potential [8] imply that eigenvectors are regular. 10. Hardy and Littlewood’s theorem of the Tauber type [12] plays the major part in deriving asymptotic formulas. Theorem 3. If a nondecreasing function Φ(t) is Stieltjes summable, and for x → ∞ the asymptotic representation Z∞ 0 dΦ(t) p ∼ m, l (x + t) x where l, m, p satisfy the conditions 0 < m < l, p = 6 0, is fulfilled, then Φ(t) ∼ Here Γ is the Euler function. pΓ(l) tl−m . Γ(m)Γ(l − m + 1) Write the kernel expansion in terms of the eigenfunctions G(x, y, −κ 2 ) = G(x, y, −κ02 ) = ∞ X w(n) (x) × w(n) (y) , γn + κ 2 n=1 ∞ X w(n) (x) × w(n) (y) , γn + κ02 n=1 (33) (34) where x, y ∈ Dk , k = 0, m0 , and the symbol × denotes the matrix product of a column vector by a row vector (dyadic product) w(n) (x) × w(n) (y) = (n) (n) kwi (x) · wj (y)k i, j = 1, 2, 3. From (33) and (34) we obtain G(x, y, −κ 2 ) − G(x, y, −κ02 ) = (κ02 − κ 2 ) ∞ X w(n) (x) × w(n) (y) . (35) (γn + κ 2 )(γn + κ02 ) n=1 Passage in equality (35) to the limit as x → y results in ∞ X (n) [wj (y)]2 = lim Γjj (x − y, −κ 2 ) − 2 2 (γn + κ )(γn + κ0 ) x→y n=1 −Γjj (x − y, −κ02 ) − lim gjj (x, y, −κ 2 ) − gjj (x, y, −κ02 ) , (κ02 − κ 2 ) x→y (36) ASYMPTOTIC DISTRIBUTION OF EIGENFUNCTIONS 121 x, y ∈ Dk , k = 0, m0 , j = 1, 3. Taking into account (10) and (19), we find from (36) that (n) ∞ 3/2 X [wj (y)]2 ρk 2 1 ∼ + , (37) 3/2 (γn + κ 2 )(γn + κ02 ) 12π(κ + κ0 ) (λk + 2µk )3/2 µk n=1 y ∈ Dk , k = 0, m0 , j = 1, 3. Consider the function X [wj(n) (y)]2 γn + κ02 Φj (t) = γn ≤t y ∈ Dk , k = 0, m0 , j = 1, 3. It is easy to observe that Z∞ (n) ∞ [wj (y)]2 dΦj (t) X = . t + κ2 (γn + κ 2 )(γn + κ02 ) n=1 0 By (37) we have Z∞ 0 dΦj (t) Ak ∼ , t + κ2 κ (38) where 3/2 ρk 1 2 Ak = + 3/2 . 12π (λk + 2µk )3/2 µk By Theorem 3 with regard for (38) we obtain X [wj(n) (y)]2 2 Ak Γ(1) 1/2 Φj (t) = ∼ = Ak t1/2 . 3 t 1 γn + κ02 π Γ( 2 )Γ( 3 ) γ ≤t (39) n Obviously, X (n) [wj (y)]2 γn ≤t = Zt (ξ + 0 κ02 )dΦj (ξ) = (ξ + t κ02 )Φj (ξ)0 − Zt Φj (ξ)dξ. 0 Taking into account (39), we obtain X (n) 2 Ak t3/2 , y ∈ Dk , k = 0, m0 , j = 1, 3. [wj (y)]2 ∼ 3π γn ≤t If we sum these relations with respect to j = 1, 2, 3, then we shall have X (n) 2 [wj (y)]2 ∼ Ak t3/2 , y ∈ D, π γn ≤t 122 T. BURCHULADZE AND R. RUKHADZE or X k [wj (n) (y)]2 γn≤t 3/2 ρk 2 1 + t3/2 , y ∈ Dk , k = 0, m0 . (40) ∼ 6π 2 (λk +2µk )3/2 µ3/2 k The above expression provides the asymptotic distribution of eigenfunctions. 11. Taking into account (10), from (36) we obtain (κ 2 − κ02 ) ∞ X [w(n) (y)]2 = 3(κ − κ0 )Ak + (γn + κ02 )(γn + κ 2 ) n=1 3 X gjj (y, y, −κ02 ) − gjj (y, y, −κ 2 ) . + (41) j=1 Denote ϕ(y, κ) = 3(κ − κ0 )Ak + 3 X gjj (y, y, −κ02 ) − gjj (y, y, −κ 2 ) . j=1 Now (41) yields ∞ ∞ X X ϕ(y, κ) [w(n) (y)]2 [w(n) (y)]2 ≤ . = κ 2 − κ02 (γn + κ02 )(γn + κ 2 ) n=1 (γn + κ02 )2 n=1 By virtue of the Bessel inequality we have Z ∞ X [w(n) (x)]2 ≤ |G(x, y, −κ02 )|2 dy, 2 )2 (γ + κ n 0 n=1 x ∈ Dk , k = 0, m0 . (42) (43) D By estimate (8) it follows from (42) that the sum of the series ∞ X [w(n) (x)]2 (γn + κ02 )2 n=1 exists and is uniformly bounded in Dk . This and (42) imply ∀y ∈ Dk : |ϕ(y, κ)| ≤ const(κ 2 − κ02 ), k = 0, m0 . (44) Integrating equality (42) in D and using the fact that the vectors [w(n) (x)]∞ n=1 are orthonormal in D, we obtain Z ∞ X 1 , ϕ(y, κ)dy = (κ 2 − κ02 ) (45) 2 (γn + κ0 )(γn + κ 2 ) n=1 D Z D ϕ(y, κ)dy = Z D Z X 3 gjj (y, y, −κ02 ) − 3(κ − κ0 )Ak dy + D j=1 ASYMPTOTIC DISTRIBUTION OF EIGENFUNCTIONS 123 m0 X −gjj (y, y, −κ 2 ) dy = 3(κ − κ0 ) Ak mes Dk + k=0 + 3 Z X j=1 D gjj (y, y, −κ02 ) − gjj (y, y, −κ 2 ) dy. (46) By (46), from (45) we have m0 X 3 1 Ak mes Dk = − (γn + κ02 )(γn + κ 2 ) κ + κ0 n=1 k=0 3 Z X 1 = 2 gjj (y, y, −κ02 ) − gjj (y, y, −κ 2 ) dy. 2 κ − κ0 j=1 ∞ X (47) D Denote by Dkη that part of Dk , k = 0, m0 , whose points lie from the m0 boundary Dk at a distance less than η. Dη = ∪ Dkη . Then k=0 Z D gjj (y, y, −κ02 ) − gjj (y, y, −κ 2 ) dy = −gjj (y, y, −κ 2 ) dy + Z Z D\Dη ϕ(y, κ)dy − Z gjj (y, y, −κ02 ) − 3(κ − κ0 )Ak dy. Dη Dη This and (47) imply ∞ m0 X X 3 1 mes D − A k ≤ k 2 2 (γn + κ0 )(γn + κ ) κ + κ0 n=1 k=0 Z Z 3 X 1 1 ϕ(y, κ)dy + ≤ 2 gjj (y, y, −κ02 ) − 2 2 2 κ − κ0 κ − κ0 j=1 Dη −gjj (y, y, −κ) dy + D\Dη Z 3 A dy k . κ + κ0 (48) Dm The following estimates are valid: Z m0 Z 3 3 X 3 Ak dy = η, Ak dy ≤ const κ + κ0 κ + κ0 κ + κ0 (49) k=0D kη Dη Z 1 ϕ(y, κ)dy ≤ const (κ 2 − κ02 )η = const η, 2 κ2 − κ2 2 κ − κ0 0 Dη (50) 124 T. BURCHULADZE AND R. RUKHADZE 3 Z X 1 2 2 κ −κ0 j=1 D\Dη const 1 dy ≤ 2 . (51) κ −κ02 η δ gjj (y, y,−κ02 )−gjj (y, y,−κ) The validity of (49) is obvious. (50) and (51) hold by virtue of (44) and (19), respectively. It is important to remark here that the constants appearing in (49), (50) and (51) do not depend on κ and y. Consider the function X 1 Φ(t) = . γn + κ02 γn ≤t It is easy to verify that Z∞ 0 ∞ X dΦ(t) 1 = 2 )(γ + κ 2 ) . + κ t + κ2 (γ n n 0 n=1 By of (49), (50) and (51) we find from (48) that Z∞ 0 for η = 1 . κ 2 −κ02 3 dΦ(t) ∼ t + κ2 Pm0 Ak mes Dk κ k=0 According to Theorem 3 we have Φ(t) ∼ Denoting 6 Pm0 k=0 N (t) = Ak mes Dk 1/2 t . π X (52) 1, γn ≤t for a number of eigenvalues not higher than t, we get N (t) = Zt (ξ + κ02 )dΦ(ξ) = (ξ + 0 Hence with regard for (52) we obtain N (t) ∼ t κ02 )Φ(ξ)0 − Zt Φ(ξ)dξ. 0 m0 2X Ak mes Dk · t3/2 , π k=0 or, finally, m0 1 X 2 1 3/2 + 3/2 ρk mes Dk · t3/2 . N (t) ∼ 3/2 6π 2 + 2µ ) (λ k k µk k=0 Thus the results of this paper can be formulated as (53) ASYMPTOTIC DISTRIBUTION OF EIGENFUNCTIONS 125 Theorem 4. The asymptotic distribution of eigenvector-functions and eigenvalues of the basic boundary-contact problems of oscillation of classical elasticity is given by formulas (40) and (53), respectively. Remark 1. The results obtained remain valid (a) when the boundary conditions on Sk (k = 0, m0 + 1, . . . , m) are replaced by those of the second basic problem [8] (i.e., with elastic stresses given on the boundary) and (b) when the conditions of the first problem are given on some part of the boundary Sk (k = 0, m0 + 1, . . . , m), and the conditions of the second problem on the remainder of the boundary (a mixed problem). Thus we have considered the case of the main contact conditions. The results remain valid for other admissible contact conditions [13]. Remark 2. If λk = λ, µk = µ, ρk = ρ (k = 0, m0 ) i.e., if a homogeneous m0 m0 elastic medium D0 ∪ ( ∪ Dk ) ∪ ( ∪ Sk ) is considered, then, as can readily k=1 [w(n) (x)]∞ n=1 and k=1 (γn )∞ n=1 will be the eigenvector-functions and be verified, eigenvalues of equation (2) the corresponding boundary value problem and the obtained asymptotic formulas will coincide with the well-known formulas of Weyl, Plejel, Burchuladze and others. Remark 3. Note that the above asymptotic formulas with certain modifications are also fulfilled for two-dimensional problems. For example, in the two-dimensional case formula (53) takes the form m0 1 1 X 1 + ρk mes Dk · t, N (t) ∼ 4π λk + 2µk µk k=0 where mes Dk is a space of the domain Dk . References 1. T. Carleman, Proprietes asymptotiques des fonctions fondamentales des membranes vibrantes. 8th Scand. Math. Congress, 1934; Stockholm 1934, Collected works, Malmö, 1960, 471–483. 2. T. Carleman, Über die asymptotische Verteilung der Eigenwerte partieller Differentialgleichungen. Ber. der Sächs. Akad. d. Wiss. Leipzig, 1936, 119–132; Collected works, Malmö, 1960, 483–496. 3. A. Plejel, Proprietes asymptotiques des fonctions et vareurs propres de certains problems de vibrations. Arkiv für Math., Astr. Och Fysik. 27 A(1940), 1–100. 4. T.V. Burchuladze, To the theory of boundary value problems of oscillation for an elastic body. (Russian)Trudy Tbiliss. Gos. Univ., Mat. Mekh. Astron. 64(1957), 215–240. 126 T. BURCHULADZE AND R. RUKHADZE 5. T. V. Burchuladze, On the asymptotic behavior of eigenfunctions of some boundary value problems of an anisotropic elastic body. (Russian) Soobshch. Akad. Nauk Gruz. SSR 23(1959), No. 3, 265–272. 6. R. G. Dikhamindzhia, Asymptotic distribution of eigenfunctions and eigenvalues of some basic problems of vibration of the moment theory of elasticity. (Russian) Trudy Tbiliss. Mat. Inst. Razmadze 73(1983), 64–71. 7. M. Svanadze, Asymptotic behavior of eigenfunctions and eigenfrequiencies of oscillation boundary value problems of the linear theory of elastic mixtures. Georgian Math. J. 3(1996), No. 2, 177–200. 8. V. D. Kupradze, T. G. Gegelia, M. O. Basheleishvili, and T. V. Burchuladze, Three-dimensional problems of the mathematical theory of elasticity and thermoelasticity. (Translated from Russian) North–Holland series in applied mathematics and mechanics, v. 25, North–Holland Publishing Company, Amsterdam–New York–Oxford, 1979; Russian original: Nauka, Moscow, 1976. 9. D. G. Natroshvili and A. Ya. Jagmaidze, Dynamic problems of the classical theory of elasticity for piecewise-homogeneous bodies. (Russian) Tbilisi University Press, Tbilisi, 1978. 10. D. G. Natroshvili, Estimation of Green’s tensors of the theory of elasticity and some of their applications. (Russian) Tbilisi University Press, Tbilisi, 1978. 11. T. Burchuladze and R. Rukhadze, The Fourier method in threedimensional boundary-contact dynamic problems of elasticity. Georgian Math. J. 2(1995), No. 6, 559–576. 12. G. Hardy and I. Littlewood, Tauberian theorems concerning power series and Dirichlet series whose coefficients are positive. Proc. Lond. Math. Soc. 2(1914), No. 13, 174–191. 13. L. Jentsch, Sur Existenz von regulären Lösungen der Elastostatik stückweise homogener Körper mit neuen Kontaktbedingungen an den Trennflächen zwischen zwei homogenen Teilen. Abh. d. Sächs. Akad. d. Wiss. Leipzig Band 53, Heft 2, Akademie-Verlag, Berlin, 1977. (Received 15.05.1997) Authors’ addresses: Tengiz Burchuladze A. Razmadze Mathematical Institute Georgian Academy of Sciences 1, M. Aleksidze St., Tbilisi 380093 Georgia Roland Rukhadze Georgian Technical University Department of Mathematics (3) 77, M. Kostava St., Tbilisi 380075 Georgia