... n ~ 0}, w is a string of a's and b's such that (1) the number of a's = the number of b's and (2) for any initial substrlng o f w, t h e n u m b e r of a's ~ t h e number of b ' s } -r S A ~z" ... linguistically significant With some modifications of TAG's or rather the operation of adjoinlnR, which Is linguistically motivated, it is possible to generate L2 and L3, but only in some special ways (This ... transformations essentially carry out the checking of the dependencies The PiG's and LFG's share this aspect 'of TG,i.e., tee.talon builds up a set of structures, someof w h i c h are filtered out by transfotn~atlons...
... following, we will investigate somepropertiesof the harmonic mean of the transition probability of nonhomogeneous Markov chains on the tree To First, we give the definition of nonhomogeneous Markov ... ak k 1, 2, 2 .30 If there exists a > such that lim sup n→∞ n a/ak e nk M < ∞, 2 .31 then lim n→∞ n n k Pk Xk | Xk−1 −1 N a.e 2 .32 Proof When the successor of each vertex of the tree To has ... predecessor of t Let X A {Xt , t ∈ A}, and let xA be a realization of X A and denote by |A| the number of vertices of A Definition 1.1 Let G {1, 2, , N} and P z | y, x be nonnegative functions on G3...
... operator of convex functions In this paper we study propertiesof characteristics of the Cauchy problem where H = H(p) in connection with formula (1.4) Then we present some results on the existence of ... x) and the set of minimizers of (CV )t,x is established for convex Hamiltonian H(t, x, p) in p in [5], Th 6.4.9, p.167 Regularity of Hopf formula 3. 1 Strip of differentiability of Hopf formula ... suggest a classification of characteristic curves at one point of the domain and then study the differentiability propertiesof Hopf formula u(t, x) on these curves In section 3, we present the conditions...
... (g00 )2 (v )2 + g00 g11 (v )2 (36 ) (37 ) We have from (3) : g00 g11 = −1 Substituting this and (34 ) into (37 ), we get (38 ) k − (v )2 = g00 = − rS /r + 0.015(rS )2 /r2 (39 ) (v )2 = k − + rS /r − 0.015(rS ... v ) + v = =0 ds ds ds (32 ) (33 ) This integrates to g00 v = k with k is an integration( the value of g00 where the particle starts to fall) From ds2 = gµν dxµ dxν (34 ) (35 ) We have = gµν v µ v ... + 0. 03 2 ) r c r Therefore mg G2 Mg2 mg GMg + 0. 03 ) c2 r2 c2 r3 G2 Mg2 GMg mr = mg (− + 0. 03 ) r c r Fg = (− (5) (6) (7) (8) Due to mi = mg (9) we have G2 Mg2 GMg + 0. 03 ) (10) r2 c2 r3 The...
... alphaA-crystallin J Biol Chem 275, 37 67 37 71 35 Brophy, C.M., Lamb, S & Graham, A (1999) The small heat shock-related protein-20 is an actin-associated protein J Vasc Surg 29, 32 6 33 3 36 Buchner, J., Ehrnsperger, ... (3) , 0. 13 mgÆmL)1 (4) or 0.26 mgÆmL)1 (5) of the wild-type Hsp20 (A), the S16D mutant of Hsp20 (B), or a-crystallin (C) (D) Comparison of the effect of different small heat shock proteins (0. 13 ... presence of either a-crystallin (0. 13 mgÆmL)1) (2) or wild-type Hsp20 (0. 13 mgÆmL)1) (3) The percentage of ADH in the pellet is plotted against the time of incubation (F) Co-precipitation of a-crystallin...
... 97 .3% 0.8% 22.8% 44.4% 92.6% 0.0% 2.4% 61.4% 37 .7% 85.6% 74 .3% 67.7% 85.1% 83. 0% 93. 6% 84.2% 90 .3~ 2.5% 3. 8% 3. 3% 3. 3% 2A% 30 .7% 2.4% 28 .3% 13. 4% 100% Table 1: Category properties in 7x9x Much of ... (bold face) for some category: Category vnpn vnpfi ~npn ~Ynpfi xfipx XXSX 0x6x V - A 34 5 35 441 32 554 236 lt -39 7 39 454 29 551 229 lt 237 4 34 458 36 557 224 The location of most of the best subscores ... analysis of our test data (called 7x9x) Our training sample is similar In 7x9x, 2.4% of the attachments t u r n out to be of a form that guarantees our system will fail to resolve them 83% of these...
... Parvatham, R: Propertiesof a class of functions with bounded boundary rotation Ann Polon Math 31 , 31 1 32 3 (1975) [3] Noor, KI: On radii of convexity and starlikeness ofsome classes of analytic ... Math Sci 6(2), 32 7 33 4 (19 83) [15] Ruscheweyh, S, Sheil-Small, T: Hademard product s of Schlicht functions and the Polya-Schoenberg conjecture Comment Math Helv 48, 119– 135 (19 73) 12 ... new family of integral operator using famous convolution technique We also apply this newly defined operator for investigating some interesting mapping propertiesof certain subclasses of analytic...
... A1/2 B3/2 A1/2 B3/2 ≤ 2 (A + B)2 Proof Let X = A1/2 B1/2 Then, by Theorem 2.4, we have 2 AB + A3/2 B1/2 − ≤ A3/2 B1/2 + A1/2 B3/2 (2:6) It follows form (2.5) and (2.6) that 2 AB + A3/2 B1/2 ... doi:10.1 137 / S089547989 832 38 23 Bhatia, R: Matrix Analysis Springer-Verlag, New York (1997) Bhatia, R, Kittaneh, F: Notes on matrix arithmetic–geometric mean inequalities Linear Algebra Appl 30 8, 2 03 211 ... Chinese) Bhatia, R, Davis, C: More matrix forms of the arithmetic-geometric mean inequality SIAM J Matrix Anal Appl 14, 132 – 136 (19 93) doi:10.1 137 /0614012 Zhan, X: Inequalities for unitarily invariant...
... 3 |z| > 2 3 − 2 .32 In view of 2.24 , 2 .30 , and 2 .32 , we deduce that R z − μ Qλ f z α,β λ 1−μ R ψ z λ 1−μ 1− μQλ f z α,β 1 uλ/ 1−μ −1 R ψ1 ∗ ψ2 uz du 0 A1 − B1 A2 − B2 − B1 − B2 2 .33 − 3 ... 2. 13 it follows from 2.12 that zQλ f z −→ α,β λ 1−μ 1 − Au du − Bu uλ/ 1−μ −1 This evidently completes the proof of Theorem 2.1 In view of 1.19 , by similarly applying the method of proof of ... t dt 2 .30 By noting that ψ1 ∈ P γ1 and ψ2 ∈ P γ2 , it follows from Lemma 1.2 that ψ1 ∗ ψ2 z ∈ P 33 − − γ1 − γ2 2 .31 Journal of Inequalities and Applications Furthermore, by Lemma 1 .3, we know...
... Mathematical Journal, vol 10, no 3, pp 241–252, 19 63 [10] C He and Y Cui, Someproperties concerning Milman’s moduli,” Journal of Mathematical Analysis and Applications, vol 32 9, no 2, pp 1260–1272, ... (X) = sup E (Y ) : Y subspace of X, dim Y = (3. 3) The case for the modulus f ( ) is similar Theorem 3. 1 X is uniformly convex if and only if f ( ) > for any < ≤ Proof Since f ( )/2 − ≤ d( ), it ... + x − y ≥ ϕ(1 − ) (3. 7) which in view of the definition of ρ( ) implies that ρ( ) ≥ ϕ(1 − ) − 2c − − c2 = 2(1 + c )2 − (1 − )2 + + (3. 8) Letting →0, we get lim ρ( )/ ≥ c > (3. 9) →0 which contradicts...
... and 3. 6 and 3. 7 thus we establish Theorem 3. 2 We note that many special cases can be derived from Theorem 3. 2 For example, in order to see that inequality 3. 6 is an extension of inequality 3. 2 ... in −1, Now by using 3. 4 , 3. 5 and inequality 2.26 we can establish Theorem 3. 1 8 Journal of Inequalities and Applications Further, Theorem 3. 1 can be extended to the case of Hadamard convolution ... A t •C t is of order m × n The following two theorems are easily proved by using the definition of the convolution product and Kronecker product of matrices, respectively Journal of Inequalities...
... ϕ(m) Proof By the multiplicative propertiesof the Euler function ϕ(t) divides ϕ(n), if t is a divisor of n [ 13] Therefore, (9) implies that the nonzero eigenvalues of Xn are divisors of ϕ(n) ... #R45 The multiplicity of zero as an eigenvalue of Xn is n − m If α(λ) is the multiplicity of the eigenvalue λ of Xn , then λα(λ) is a multiple of ϕ(n) ˜ Proof The number of terms in the resulting ... The eigenvalues of a graph G are the eigenvalues of an arbitrary adjacency matrix of G In Section we show that all nonzero eigenvalues of Xn are divisors of ϕ(n) The definition of Xn is extended...
... spin resonance behavior (30 ,31 ") electrical properties (32 -35 ), and tensile strength and ultimate elongation in elastomers (36 ,37 ) In view of the great practical importance of the glass transition ... understanding of the molecular origin of polymer mechanical behavior (3, 4,6 ,35 ,42-45) and plays a central role in establishing the framework, mentioned above, which relates the propertiesof different ... constant of Equation ( ) becomes equation (38 ) if K = and it is often close to equation (39 ) it" K = An equation that usually f i t s experimental d a t a belter t h a n equations (38 ) or {39 ) is...