Electronic Journal of Differential Equations, Vol. 2014 (2014), No. 73, pp. 1–14. ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu OSCILLATION OF MEROMORPHIC SOLUTIONS TO LINEAR DIFFERENTIAL EQUATIONS WITH COEFFICIENTS OF [p, q]-ORDER HONG-YAN XU, JIN TU Abstract. We study the relationship between “small functions” and the derivative of solutions to the higher order linear differential equation f (k) + Ak−1 f (k−1) + · · · + A0 f = 0, (k ≥ 2) Here Aj (z) (j = 0, 1, . . . , k − 1) are entire functions or meromorphic functions of [p, q]-order. 1. Introduction and statement of main results The study of oscillation theory for linear differential equations in the complex plane C was started by Bank and Laine [2, 3]. After their well-known work, many important results have been obtained, see for example [19, 20]. We assume that the reader knows the standard notations and the fundamental results of the Nevanlinna value distribution theory of meromorphic functions [12, 15]. In addition, we use σ(f ), λ(f ) and λ(f ) to denote the order, the exponent of convergence of the zero-sequence, and the exponent of convergence of the nonzero zero sequence of a meromorphic function f (z), respectively. We also denote by τ (f ) the type of an entire R function f (z) with R 0 < σ(f ) = σ < +∞ (see [15]). We use mE = E dt and ml E = E dt t to denote the linear measure and the logarithmic measure of a set E ⊂ [1, +∞), respectively. We denote by S(r, f ) any quantity satisfying S(r, f ) = o(T (r, f )), as r → +∞, possibly outside of a set with finite linear measure. A meromorphic function ψ(z) is called a small function with respect to f if T (r, ψ) = S(r, f ). For results on the growth of solutions to equations of the form f 00 + A(z)f 0 + B(z)f = 0, (1.1) with A(z) and B(z)(6≡ 0) are entire functions, the reader is referred to [1, 7, 8, 11, 14]. In 1996, Kwon [18] investigated the hyper-order of the solutions of (1.1) and obtained the following result. 2000 Mathematics Subject Classification. 34M10, 30D35. Key words and phrases. Linear differential equation; oscillation; small function; [p, q]-order. c 2014 Texas State University - San Marcos. Submitted June 20, 2013. Published March 16, 2014. 1 2 H.-Y. XU, J. TU EJDE-2014/73 Theorem 1.1 ([18]). Let A(z) and B(z) be entire functions such that σ(A) < σ(B) or σ(B) < σ(A) < 1/2. Then every solution f 6≡ 0 of (1.1) satisfies σ2 (f ) ≥ max{σ(A), σ(B)}. In 2006, Chen and Shon [9] investigated the zeros concerning small functions and fixed points of solutions of second order linear differential equations and obtained the following results. Theorem 1.2 ([9]). Let Aj (z) 6≡ 0 (j = 1, 2) be entire functions with σ(Aj ) < 1, suppose that a, b are complex numbers that satisfy ab 6= 0 and arg a 6= arg b or a = cb (0 < c < 1). If ϕ(z) 6≡ 0 is an entire function of finite order, then every non-trivial solution f of equation f 00 + A1 (z)eaz f 0 + A2 (z)ebz f = 0 satisfies λ(f − ϕ) = λ(f 0 − ϕ) = λ(f 00 − ϕ) = ∞. Theorem 1.3. [9] Let A1 (z) 6≡ 0, ϕ(z) 6≡ 0, Q(z) be entire functions with σ(A1 ) < 1, 1 < σ(Q) < ∞ and σ(ϕ) < ∞, then every non-trivial solution f of equation f 00 + A1 (z)eaz f 0 + Q(z)f = 0 satisfies λ(f − ϕ) = λ(f 0 − ϕ) = λ(f 00 − ϕ) = ∞, where a 6= 0 is a complex number. In 2012, Wu and Chen [24] investigate the problem on the fixed-points of solutions of some second order differential equation with transcendental entire function coefficients and obtained the following theorems. Theorem 1.4 ([24, Theorem 1]). Let Aj (z) 6≡ 0(j = 0, 1) be entire functions, P (z) be a polynomial satisfying σ(A1 ) < deg P (z) and 0 < σ(A0 ) < 1/2, and let ϕ(z)(6≡ 0) be an entire function of finite order. Then every non-trivial solution f of equation f 00 + A1 (z)eP (z) f 0 + A0 (z)f = 0 satisfies λ(f − ϕ) = ∞. Theorem 1.5 ([24, Theorem 2]). Under the assumptions of Theorem 1.4, every non-trivial solution f of the equation f 00 + A1 (z)eP (z) f 0 + A0 (z)f = 0 satisfies (i) λ(f − z) = λ(f 0 − z) = λ(f 00 − z) = σ(f ) = ∞; (ii) g(z) has infinitely many fixed points and λ(g − z) = ∞, where g(z) = d0 f (z) + d1 f 0 (z) + d2 f 00 (z), d0 d2 6= 0. An interesting subject arises naturally about the problems of the zeros concerning small function and fixed points of solutions of differential equations f (k) + Ak−1 f (k−1) + · · · + A0 f = 0, (k ≥ 2) (1.2) where Aj (z) (j = 0, 1, . . . , k − 1) are entire functions. In 2000s, Belaı̈di [4], Belaı̈di and El Farissi [6] (see also [10, 22, 23]) investigated the fixed points and the relationship between small functions and differential polynomials of solutions of (1.2) and obtained some results which improve Theorem 1.3. EJDE-2014/73 OSCILLATION OF MEROMORPHIC SOLUTIONS 3 Recently, the growth of solutions of higher order linear differential equation with meromorphic coefficients of [p, q]-order was studied and some results were obtained in [5, 21]. In this article, we study the zeros of small functions and the fixed points of solutions to equation (1.2) with entire or meromorphic coefficients of [p, q]-order and obtain some results that extend the work of Chen and Belaı̈di. Before stating our theorems, we introduce the concepts of entire functions of [p, q]-order (see [16, 17, 21]). Juneja and co-authors [16, 17] introduced the concept of entire functions of [p, q]-order, and studied some of their properties for p, q integers satisfying p > q ≥ 1. Definition 1.6. If f (z) is a transcendental entire function, the [p, q]-order of f (z) is defined by σ[p,q] (f ) = lim sup r→∞ logp T (r, f ) logp+1 M (r, f ) = lim sup , logq r logq r r→∞ where p, q are two integers and p > q ≥ 1. Remark 1.7. For sufficiently large r ∈ [1, ∞), we define logi+1 r = logi (log r) (i ∈ N) and expi+1 r = exp(expi r) (i ∈ N) and exp0 r = r = log0 r, exp−1 r = log r. Definition 1.8. The [p, q]-type of an entire function f of [p, q]-order σ (0 < σ < ∞) is defined by logp M (r, f ) . τ[p,q] = τ[p,q] (f ) = lim sup (logq−1 r)σ r→∞ And the [p, q] exponent of convergence of the zero sequence of f is defined by λ[p,q] = λ[p,q] (f ) = lim sup r→∞ logp n(r, f1 ) logq r = lim sup r→∞ logp N (r, f1 ) logq r , and the [p, q] exponent of convergence of the distinct zero sequence of f is defined by logp n(r, f1 ) logp N (r, f1 ) λ[p,q] = λ[p,q] (f ) = lim sup = lim sup . logq r logq r r→∞ r→∞ Let ϕ(z) be an entire function with σ[p,q] (ϕ) < σ[p,q] (f ), the [p, q] exponent of convergence of zeros and distinct zeros of f (z) − ϕ(z) are defined to be λ[p,q] (f − ϕ) = lim sup r→∞ 1 logp N (r, f −ϕ ) logq r , λ[p,q] (f − ϕ) = lim sup r→∞ 1 logp N (r, f −ϕ ) logq r , especially if ϕ(z) = z, we use λ[p,q] (f − z) and λ[p,q] (f − z) to denote the [p, q] exponent of convergence of fixed points and distinct fixed points of f (z), respectively. Next we state our main results. Theorem 1.9. It Aj (z) (j = 0, 1, . . . , k − 1) are entire functions and satisfy one of the following two conditions: (i) max{σ[p,q] (Aj ) : j = 1, 2, . . . , k − 1} < σ[p,q] (A0 ) < ∞; (ii) max{σ[p,q] (Aj ) : j = 1, 2, . . . , k − 1} ≤ σ[p,q] (A0 ) < ∞ and max{τ[p,q] (Aj )|σ[p,q] (Aj ) = σ[p,q] (A0 ) > 0} = τ1 < τ[p,q] (A0 ) = τ , 4 H.-Y. XU, J. TU EJDE-2014/73 then for every solution f ≡ 6 0 of (1.2) and for any entire function ϕ(z) 6≡ 0 satisfying σ[p+1,q] (ϕ) < σ[p,q] (A0 ). Moreover λ[p+1,q] (f − ϕ) = λ[p+1,q] (f 0 − ϕ) = λ[p+1,q] (f 00 − ϕ) = λ[p+1,q] (f (i) − ϕ) = σ[p+1,q] (f ) = σ(A0 ), (i ∈ N). Throughout this paper we assume that A0 does not vanish identically. Theorem 1.10. If Aj (z), j = 0, 1, . . . , k − 1 are meromorphic functions satisfying max{σ[p,q] (Aj ) : j = 1, 2, . . . , k − 1} < σ[p,q] (A0 ) and δ(∞, A0 ) > 0, then for every meromorphic solution f 6≡ 0 of (1.2) and for any meromorphic function ϕ(z) 6≡ 0 satisfying σ[p+1,q] (ϕ) < σ[p,q] (A0 ), we have λ[p+1,q] (f (i) − ϕ) = λ[p+1,q] (f (i) − ϕ) ≥ σ[p,q] (A0 )(i = 0, 1, . . . ), where f (0) = f . Example 1.11. For the equation −e2z e2z + ez − 1 0 f + f = 0, (1.3) z 1−e 1 − ez z we can easily see that this equation has a solution f (z) = ee + ez . The func2z z 2z 2z z +e −1 −e +e −1 −e2z tions e 1−e , 1−ez are meromorphic and satisfy σ( e 1−e ) = σ( 1−e z z z ) = 1 and 1 −e2z −e2z z δ ∞, 1−ez = 2 . Taking ϕ(z) = e , then σ[2,1] (ϕ) < σ[1,1] ( 1−ez ). Thus, we get that f 00 + 2z z −e λ[2,1] (f 0 − ϕ) = λ[2,1] (ee ez ) = 0 6= 1 = σ[1,1] ( 1−e z ). For p > q ≥ 1, we have the following example. Example 1.12. Consider the equation f 00 + A1 f 0 + A0 f = 0, where z z z z 1 + ez − 2ee + e2e − 2ee ez + e3e ez , A1 = − (1 − eez )2 z z e3e e2z − e2e e2z A0 = . (1 − eez )2 Obviously, A0 , A1 are meromorphic functions, σ[2,1] (A1 ) = σ[2,1] (A0 ) = 1 and ez δ(∞, A0 ) > 0. By calculating, the equation (1.12) has a solution f (z) = ee + z z ee . Taking ϕ(z) = ee ez , then σ[3,1] (ϕ) < σ[2,1] (A0 ). Thus, we can get that ez z λ[3,1] (f 0 − ϕ) = λ[3,1] (ee ee ez ) = 0 6= 1 = σ[2,1] (A0 ). From Theorems 1.9 and 1.10, we obtain the following corollaries. Corollary 1.13. Under the assumptions of Theorem 1.9, if ϕ(z) = z, for every solution f 6≡ 0 of (1.2), we have λ[p+1,q] (f − z) = λ[p+1,q] (f 0 − z) = λ[p+1,q] (f 00 − z) = λ[p+1,q] (f (i) − z) = σ[p+1,q] (f ) = σ[p,q] (A0 ), (i ∈ N). Corollary 1.14. Under the assumptions of Theorem 1.10, if ϕ(z) = z, for every meromorphic solution f 6≡ 0 of (1.2), we have λ[p+1,q] (f (i) −z) = λ[p+1,q] (f (i) −z) ≥ σ[p+1,q] (A0 ), (i = 0, 1, . . . ), where f (0) = f . EJDE-2014/73 OSCILLATION OF MEROMORPHIC SOLUTIONS 5 2. Preliminary results To prove our theorems, we require the following lemmas. Lemma 2.1 ([25, Lemma 2.1]). Assume f 6≡ 0 is a solution of (1.2), set g = f −ϕ, then g satisfies the equation g (k) + Ak−1 g (k−1) + · · · + A0 g = −[ϕ(k) + Ak−1 ϕ(k−1) + · · · + A0 ϕ]. (2.1) Lemma 2.2 ([25, Lemma 2.2]). Assume f 6≡ 0 is a solution of equation (1.2), set g1 = f 0 − ϕ , then g1 satisfies the equation (k) (k−1) 1 g1 + Uk−1 g1 1 + · · · + U01 g1 = −[ϕ(k) + Uk−1 ϕ(k−1) + · · · + U01 ϕ], where Uj1 = A0j+1 + Aj − A00 A0 Aj+1 , (2.2) j = 0, 1, 2, . . . , k − 1 and Ak ≡ 1. Lemma 2.3 ([25, Lemma 2.5]). Assume f 6≡ 0 is a solution of equation (1.2), set gi = f (i) − ϕ, then gi satisfies the equation (k) gi (k−1) i + Uk−1 gi 0 i + · · · + U0i gi = −[ϕ(k) + Uk−1 ϕ(k−1) + · · · + U0i ϕ], i−1 where Uji = Uj+1 + Uji−1 − 0 U0i−1 i−1 U0 (2.3) i−1 Uj+1 , j = 0, 1, 2, . . . , k − 1, Uki−1 ≡ 1 and i ∈ N. Lemma 2.4 ([21, Lemma 3.9]). Let f (z) be an entire function of [p, q]-order, then σ[p,q] (f ) = σ[p,q] (f 0 ). Lemma 2.5 ([21, Lemma 3.10]). Let f (z) be an entire function of [p, q]-order satisfying σ[p,q] (f ) = σ2 , then there exists a set E ⊂ [1, +∞) with infinite logarithmic measure such that for all r ∈ E, we have logp T (r, f ) lim = σ2 , r ∈ E. r→∞ logq r Lemma 2.6. Let A0 (z), A1 (z), . . . , Ak−1 (z) be entire functions with [p, q]-order and satisfy max{σ[p,q] (Aj ) : j = 1, 2, . . . , k − 1} = σ1 < σ[p,q] (A0 ) < ∞, and set Uj1 = A0j+1 + Aj − A00 Aj+1 A0 and 0 U0i−1 i−1 Uj+1 , U0i−1 where j = 0, 1, 2, . . . , k − 1, Ak ≡ 1, Uki−1 ≡ 1 and i ∈ N. Then there exists a set E with infinite logarithmic measure such that for r ∈ E, we have 0 i−1 Uji = Uj+1 + Uji−1 − logp m(r, U0i ) r→∞ logq r σ[p,q] (A0 ) = lim max1≤j≤k−1 {logp m(r, Uji )} > lim sup = σ1 . logq r r→∞ (2.4) Proof. We will use the inductive method to prove it. A0 First, when i = 1, it follows that Uj1 = A0j+1 +Aj − A00 Aj+1 for j = 0, 1, 2, . . . , k−1 and Ak ≡ 1. When j = 0, that is, U01 = A01 + A0 − m(r, U01 ) ≤ m(r, A1 ) + m(r, A0 ) + m r, A01 A1 A00 A 0 A1 . + m r, Then, we have A00 + O(1). A0 (2.5) 6 H.-Y. XU, J. TU From A0 = −A01 + U01 + A00 A 0 A1 , EJDE-2014/73 we have m(r, A0 ) ≤ m(r, A1 ) + m(r, U01 ) + m r, A01 A0 + m r, 0 + O(1). A1 A0 (2.6) When j 6= 0, from the definitions of Uj1 (j = 1 . . . , k), we have A0 m r, Uj1 ≤ m(r, Aj+1 ) + m(r, Aj ) + m r, 0 A0 0 Aj+1 + m r, + O(1), j = 1, 2, . . . , k − 1. Aj+1 (2.7) Since A0 (z), . . . , Ak−1 (z) are entire functions with max{σ[p,q] (Aj ) : j = 1, 2, . . . , k − 1} < σ[p,q] (A0 ) < ∞ and (2.7), we have max {m(r, Uj1 )t} 1≤j≤k−1 ≤ max {m(r, Aj ) + o(m(r, A0 ) + O(log(rT (r, f )))} + O(1), (2.8) 1≤j≤k−1 holds for all r ∈ E1 − E2 (where E1 is a set of infinite logarithmic measure and E2 is a set of finite linear measure). From (2.5), (2.6), (2.8) and Lemma 2.5, there exists a set E ⊂ [1, +∞) with infinite logarithmic measure such that logp m(r, U01 ) r→∞ logq r σ[p,q] (A0 ) = lim > σ1 = lim sup r→∞ ≥ lim sup r→∞ max1≤j≤k−1 {logp m(r, Aj )} logq r (2.9) max1≤j≤k−1 {logp m(r, Uj1 )} , r ∈ E. logq r Now, suppose that (2.4) holds for i ≤ n(n ∈ N), thus, there exists a set E with infinite logarithmic measure such that logp m(r, U0n ) r→∞ logq r σ[p,q] (A0 ) = lim > lim sup r→∞ max1≤j≤k−1 {logp m(r, Ujn )} = σ1 . logq r (2.10) Next, we prove that (2.4) holds for i = n + 1. From the assumptions of this lemma, U n0 n n 0 we have Ujn+1 = Uj+1 + Ujn − U0n Uj+1 , (j = 0, 1, 2, . . . , k − 1) and Ukn ≡ 1 for 0 i = n + 1. Thus, when j = 0, it follows that U0n+1 = U1n 0 + U0n − have U0n 0 n U0n U1 . U n0 U n0 m r, U0n+1 ≤ m (r, U0n ) + m(r, U1n ) + m(r, 0n ) + m(r, 1n ) + O(1). U0 U1 And since U0n = −U1n 0 + U0n+1 + U0n 0 n U0n U1 , Then, we (2.11) we have m(r, U0n ) ≤ m(r, U0n+1 ) + m(r, U1n ) + m(r, U0n 0 U n0 ) + m(r, 1n ) + O(1). n U0 U1 (2.12) EJDE-2014/73 OSCILLATION OF MEROMORPHIC SOLUTIONS 7 When j 6= 0, it follows from the definitions of Ujn+1 (j = 1, 2, . . . , k − 1) and Ukn ≡ 1 that n 0 Uj+1 U n0 n m(r, Ujn+1 ) ≤ m(r, Uj+1 ) + m(r, Ujn ) + m(r, n ) + m(r, 0n ) + O(1). (2.13) Uj+1 U0 From (2.10)–(2.13), there exists a set E with infinite logarithmic measure such that logp m r, U0n+1 logp m (r, U0n ) lim = lim = σ[p,q] (A0 ) r→∞ r→∞ logq r logq r max1≤j≤k−1 {logp m r, Ujn } (2.14) > σ1 = lim sup logq r r→∞ = lim sup r→∞ max1≤j≤k−1 {logp m(r, Ujn+1 )} , logq r r ∈ E. Thus, the proof is complete. Lemma 2.7. Let Hj (z) (j = 0, 1, . . . , k − 1) be meromorphic functions of finite [p, q]-order. If max1≤j≤k−1 {logp m(r, Hj )} lim sup = β1 logq r r→∞ and there exists a set E1 with infinite logarithmic measure such that logp m(r, H0 ) = β2 > β1 r→∞ logq r lim holds for all r ∈ E1 , then every meromorphic solution f 6≡ 0 of f (k) + Hk−1 f (k−1) + · · · + H1 f 0 + H0 f = 0 (2.15) satisfies σ[p+1,q] (f ) ≥ β2 . Proof. Assume that f (z) 6≡ 0 is a meromorphic solution of (2.15). From (2.15), we have m(r, H0 ) ≤ m(r, k−1 X f (k) f0 ) + · · · + m(r, ) + m(r, Hj ) + O(1). f f j=1 (2.16) By the logarithmic derivative lemma and (2.16), we have m(r, H0 ) ≤ O{log rT (r, f )} + k−1 X m(r, Hj ), r 6∈ E2 , (2.17) j=1 where E2 ⊂ [1, +∞) is a set with finite linear measure. From the assumptions of Lemma 2.7, there exists a set E1 with infinite logarithmic measure such that for all |z| = r ∈ E1 − E2 , we have expp {(β2 − ε) logq r} ≤ O{log rT (r, f )} + (k − 1) expp {(β1 + ε) logq r}, where 0 < 2ε < β2 − β1 . From (20), we have σ[p+1,q] (f ) ≥ β2 . (2.18) Lemma 2.8 ([13]). Let f (z) be a transcendental meromorphic function and α > 1 be a given constant. Then for any given ε > 0, there exists a set E7 ⊂ [1, ∞) that has finite logarithmic measure and a constant M > 0 that depends only on α 8 H.-Y. XU, J. TU EJDE-2014/73 and (m, n)(m, n ∈ {0, . . . , k} with m < n) such that for all z satisfying |z| = r 6∈ [0, 1] ∪ E7 , we have n−m f (n) (z) ≤ M T (αr, f ) (logα r) log T (αr, f ) . r f (m) (z) Lemma 2.9 ([21, Lemma 3.13]). Let f (z) be an entire function of [p, q]-order satisfying σ[p,q] (f ) = σ, τ[p,q] (f ) = τ , 0 < σ < ∞, 0 < τ < ∞, then for any given β < τ , there exists a set E4 ⊂ [1, +∞) that has infinite logarithmic measure such that for all r ∈ E4 , we have logp M (r, f ) > β(logq−1 r)σ . Lemma 2.10. Let A0 (z), A1 (z), . . . , Ak−1 (z) be entire functions with finite [p, q]order and satisfy max{σ[p,q] (Aj ) : j = 1, 2, . . . , k − 1} ≤ σ[p,q] (A0 ) = σ2 < ∞ and max{τ[p,q] (Aj ) |σ[p,q] (Aj ) = σ[p,q] (A0 ) > 0} = τ1 < τ[p,q] (A0 ) = τ , and let Uj1 , Uji be as stated in Lemma 2.6. Then for any given ε(0 < 2ε < τ − τ1 ), there exists a set E5 with infinite logarithmic measure such that |Uji | ≤ expp {(τ1 + ε)(logq−1 r)σ2 }, |U0i | ≥ expp {(τ − ε)(logq−1 r)σ2 }, (2.19) where i ∈ N and j = 1, 2, . . . , k − 1. Proof. We will use the induction method for this proof. (i) First, we prove that Uji (j = 0, 1, . . . , k − 1) satisfy (2.19) when i = 1. From the definition Uj1 = A0j+1 + Aj − have A00 A0 Aj+1 (j 6= 0) and U01 = A01 + A0 − 0 A A0 |U01 | ≥ −|A1 | | 1 | + | 0 | + |A0 | A1 A0 A00 A 0 A1 , we (2.20) and |Uj1 | ≤ |Aj+1 | | A0j+1 A0 | + | 0 | + |Aj |, Aj+1 A0 j = 1, 2, . . . , k − 1; Ak ≡ 1. (2.21) From Lemma 2.8, Lemma 2.9 and (2.20)–(2.21), for any ε(0 < 4ε < τ − τ1 ), there exists a set E5 with infinite logarithmic measure such that ε |U01 | ≥ −2M expp {(τ1 + )(logq−1 r)σ2 }(T (2r, A0 ))2 8 ε + expp {(τ − )(logq−1 r)σ2 } 4 2 ε ε ≥ −2M expp {(τ1 + )(logq−1 r)σ2 } expp {(σ2 + )(logq 2r)} 8 8 ε σ2 (logq−1 r) } + expp { τ − 4 ε ≥ expp { τ − (logq−1 r)σ2 } 2 (2.22) EJDE-2014/73 OSCILLATION OF MEROMORPHIC SOLUTIONS 9 and ε |Uj1 | ≤ 2M expp {(τ1 + )(logq−1 r)σ2 }(T (2r, A0 ))2 4 ε + expp {(τ1 + )(logq−1 r)σ2 } 4 2 ε ε ≤ 2M expp {(τ1 + )(logq−1 r)σ2 } expp {(σ2 + )(logq 2r)} (2.23) 4 8 ε + expp {(τ1 + )(logq−1 r)σ2 } 4 ε ≤ expp {(τ1 + )(logq−1 r)σ2 }, j 6= 0, 2 where M > 0 is a constant, not necessarily the same at each occurrence. (ii) Next, we show that Uji (j = 0, 1, 2, . . . , k − 1) satisfy (2.19) when i = 2. From 0 U02 = U11 + U01 − Uk1 ≡ 1, we have and 0 U01 U01 0 1 U11 and Uj2 = Uj+1 + Uj1 − 0 U01 U01 1 Uj+1 (j = 0, 1, . . . , k − 1) and 0 U 10 U1 |U02 | ≥ |U01 | − |U11 | | 11 | + | 01 | U1 U0 0 U1 0 U1 j+1 1 |Uj2 | ≤ |Uj1 | + |Uj+1 | | 1 | + | 01 | , Uj+1 U0 (2.24) j = 1, 2, . . . , k − 1. (2.25) By the conclusions in (i), Lemma 2.8 and Lemma 2.9, (2.22)–(2.23), for all |z| = r ∈ E5 , we have 2 ε ε |U02 | ≥ −2M expp (τ1 + )(logq−1 r)σ2 expp (σ2 + )(logq 2r) 2 8 ε σ2 (2.26) + expp { τ − (logq−1 r) } 2 ≥ expp {(τ − ε)(logq−1 r)σ2 } and ε ε |Uj2 | ≤ 2M expp {(τ1 + )(logq−1 r)σ2 } expp {(σ2 + )(logq 2r)} 2 8 ε σ2 + expp {(τ1 + )(logq−1 r) } 2 ≤ expp {(τ1 + ε)(logq−1 r)σ2 }, j 6= 0. (2.27) (iii) Now, suppose that (2.19) holds for i ≤ n(n ∈ N). Thus, for any given ε(0 < 4ε < τ − τ1 ), there exists a set E5 with infinite logarithmic measure such that |Uji | ≤ expp {(τ1 + ε)(logq−1 r)σ2 }, |U0i | ≥ expp {(τ − ε)(logq−1 r)σ2 }, where i ≤ n and j = 1, 2, . . . , k − 1. From U0n+1 = U1n 0 + U0n − n 0 Ujn+1 = Uj+1 + Ujn − U0n 0 U0n U0n 0 U0n (2.28) U1n and n Uj+1 (j = 0, 1, . . . , k − 1) and Ukn ≡ 1, we have U n0 U n0 |U0n+1 | ≥ |U0n | − |U1n | | 1n | + | 0n | U1 U0 (2.29) and Un 0 U n0 j+1 n |Ujn+1 | ≤ |Ujn | + |Uj+1 | | n | + | 0n | , Uj+1 U0 j = 1, 2, . . . , k − 1. (2.30) 10 H.-Y. XU, J. TU EJDE-2014/73 Then, from Lemma 2.8, Lemma 2.9 and (2.28)–(2.30), for all |z| = r ∈ E5 , we have 2 ε |Ujn+1 | ≤ 2M expp {(τ1 + ε)(logq−1 r)σ2 } expp {(σ2 + )(logq 2r)} 8 (2.31) + expp {(τ1 + ε)(logq−1 r)σ2 } ≤ expp {(τ1 + 2ε)(logq−1 r)σ2 }, j 6= 0, and ε |U0n+1 | ≥ −2M exp{(τ1 + ε)(logq−1 r)σ2 }(expp {(σ2 + )(logq 2r)})2 8 + expp {(τ − ε)(logq−1 r)σ2 } (2.32) σ2 ≥ expp {(τ − 2ε)(logq−1 r) }. Thus, the proof is complete. Lemma 2.11. Let Bj (z) (j = 0, 1, . . . , k − 1) be meromorphic functions such that max{σ[p,q] (Bj ) : j = 1, 2, . . . , k − 1} = σ4 < σ[p,q] (B0 ) = σ3 and δ := δ(∞, B0 ) = 0) limr→∞ m(r,B T (r,B0 ) > 0. Then every meromorphic solution f 6≡ 0 of equation f (k) + Bk−1 f (k−1) + · · · + B1 f 0 + B0 f = 0 (2.33) satisfies σ[p+1,q] (f ) ≥ σ3 . Proof. Let f 6≡ 0 be a meromorphic solution of equation (2.33). Then from (2.33), we have k−1 X f (k) f (k−1) f0 m(r, Bj ) + O(1) m(r, B0 ) ≤ m(r, ) + m(r, ) + · · · + m(r, ) + f f f j=1 ≤ O{log rT (r, f )} + k−1 X T (r, Bj ), r 6∈ E6 , j=1 (2.34) where E6 ⊂ [1, +∞) is a set with finite linear measure. By Lemma 2.5, there exists a set E with infinite logarithmic measure such that for all |z| = r ∈ E, we have logp T (r, B0 ) = σ3 . r→∞ logq r lim (2.35) Since δ := δ(∞, B0 ) > 0, then for any given ε(0 < 2ε < min{δ, σ3 − σ4 }) and for all r ∈ E, by (37), we have m(r, B0 ) ≥ (δ − ε) expp {(σ3 − ε) logq r}. (2.36) From (2.34) and (2.36), we have (δ −ε) expp {(σ3 −ε) logq r} ≤ O{log rT (r, f )}+(k −1) expp {(σ4 +ε) logq r}, (2.37) where r ∈ E − E6 . From (2.37), we obtain σ[p+1,q] (f ) ≥ σ3 = σ[p,q] (B0 ). Lemma 2.12. Let Bj (z), j = 0, 1, . . . , k − 1 be meromorphic functions of finite [p, q] order. If there exist positive constants σ5 , β3 , β4 (0 < β3 < β4 ) and a set E8 with infinite logarithmic measure such that max{|Bj (z)| : j = 1, 2, . . . , k − 1} ≤ expp {β3 (logq−1 r)σ5 }, and |B0 (z)| ≥ expp {β4 (logq−1 r)σ5 } EJDE-2014/73 OSCILLATION OF MEROMORPHIC SOLUTIONS 11 hold for all |z| = r ∈ E8 , then every meromorphic solution f 6≡ 0 of (2.33) satisfies σ[p+1,q] (f ) ≥ σ5 . Proof. Suppose that f 6≡ 0 is a meromorphic function of (2.33). Then it follows that k−1 X f (k) f (j) |B0 (z)| ≤ | |+ |. (2.38) |Bj (z)|| f f j=1 By Lemma 2.8, there exists a set E7 with finite logarithmic measure such that for all |z| = r 6∈ E7 , we have | f (j) | ≤ M [T (2r, f )]2j , f j = 1, 2, . . . , k. (2.39) By (2.38), (2.39) and the assumptions of Lemma 2.12, for all |z| = r ∈ E8 − E7 , we have expp {β4 (logq−1 r)σ5 } ≤ M k[T (2r, f )]2k expp {β3 (logq−1 r)σ5 }. Since 0 < β3 < β4 and by (2.40), we have σ[p+1,q] (f ) ≥ σ5 . (2.40) Lemma 2.13 ([21, Lemma 3.12]). Let A0 , A1 , . . . , Ak−1 , F 6≡ 0 be meromorphic functions, if f is a meromorphic solution of the equation f (k) + Ak−1 f (k−1) + · · · + A0 f = F, satisfying max{σ[p,q] (F ), σ[p,q] (Aj ); j = 0, 1, . . . , k − 1} < σ[p,q] (f ), then we have σ[p,q] (f ) = λ[p,q] (f ) = λ[p,q] (f ). Lemma 2.14 ([21, Theorem 2.3]). Let Aj (z) (j = 0, 1, . . . , k−1) be entire functions satisfying max{σ[p,q] (Aj ) : j = 1, 2, . . . , k − 1} ≤ σ[p,q] (A0 ) < ∞ and max{τ[p,q] (Aj )|σ[p,q] (Aj ) = σ[p,q] (A0 ) > 0} < τ[p,q] (A0 ). Then every nontrivial solution f of (1.2) satisfies σ[p+1,q] (f ) = σ[p,q] (A0 ). 3. Proofs of Theorems Proof of Theorem 1.9. We will consider two cases as follows. Case 1. Suppose that max{σ[p,q] (Aj ) : j = 1, 2, . . . , k − 1} < σ[p,q] (A0 ) < ∞. (i) First, we prove that λ[p+1,q] (f −ϕ) = σ[p+1,q] (f ). Assume that f is a nontrivial solution of (1.2), from [21, Theorem 2.2], we have σ[p+1,q] (f ) = σ[p,q] (A0 ). Set g = f − ϕ. Since σ[p+1,q] (ϕ) < σ[p,q] (A0 ), then σ[p+1,q] (g) = σ[p+1,q] (f ) = σ[p,q] (A0 ) and λ[p+1,q] (g) = λ[p+1,q] (f −ϕ). By Lemma 2.1, we get that g satisfies the equation (2.1). Set F = ϕ(k) + Ak−1 ϕ(k−1) + · · · + A0 ϕ. If F ≡ 0, then from [21], we have σ[p+1,q] (ϕ) = σ[p,q] (A0 ), a contradiction. Then F 6≡ 0. From Lemma 2.4 and assumption of Case 1, we have σ[p+1,q] (F ) ≤ max{σ[p+1,q] (ϕ), σ[p+1,q] (A0 )} = max{σ[p+1,q] (ϕ), 0}. Since σ[p+1,q] (ϕ) < σ[p,q] (A0 ), we have max{σ[p+1,q] (F ), σ[p+1,q] (Aj ) : j = 0, 1, 2, . . . , k − 1} < σ[p+1,q] (f ). By Lemma 2.13, we have λ[p+1,q] (g) = λ[p+1,q] (g) = σ[p+1,q] (g) = σ[p,q] (A0 ). Thus, we have λ[p+1,q] (f − ϕ) = λ[p+1,q] (f − ϕ) = σ[p+1,q] (f ) = σ[p,q] (A0 ). 12 H.-Y. XU, J. TU EJDE-2014/73 (ii) Second, we prove that λ[p+1,q] (f 0 − ϕ) = σ[p+1,q] (f ). Set g1 = f 0 − ϕ, then σ[p+1,q] (g1 ) = σ[p+1,q] (f ) = σ[p,q] (A0 ). From Lemma 2.2, we get that g1 1 satisfies the equation (2.2). Set F1 = ϕ(k) + Uk−1 ϕ(k−1) + · · · + U01 ϕ, where Uj1 (j = 0, 1, . . . , k − 1) are stated as in Lemma 2.2. If F1 ≡ 0, from Lemma 2.6 and Lemma 2.7, we have σ[p+1,q] (ϕ) ≥ σ[p,q] (A0 ), a contradiction with σ[p+1,q] (ϕ) < σ[p,q] (A0 ). Hence F1 6≡ 0. From the definition of Uj1 (j = 0, 1, . . . , k − 1), we have σ[p+1,q] (Uj1 ) ≤ σ[p+1,q] (Aj ) j = 0, 1, . . . , k − 1. Thus, we can get σ[p+1,q] (F1 ) ≤ max{σ[p+1,q] (ϕ), σ[p+1,q] (Uj1 ) : j = 0, 1, . . . , k−1}. Since σ[p+1,q] (ϕ) < σ[p,q] (A0 ), we have max{σ[p+1,q] (F1 ), σ[p+1,q] (Uj1 ) : j = 0, 1, . . . , k − 1} < σ[p,q] (A0 ) = σ[p+1,q] (g1 ). By Lemma 2.13, we obtain λ[p+1,q] (f 0 − ϕ) = λ[p+1,q] (f 0 − ϕ) = σ[p+1,q] (f ). (iii) We will prove that λ[p+1,q] (f (i) − ϕ) = σ[p+1,q] (f ), (i > 1, i ∈ N). Set gi = f (i) − ϕ, then σ[p+1,q] (gi ) = σ[p+1,q] (f ) = σ[p,q] (A0 ). From Lemma 2.3, we i have gi satisfies equation (2.3). Set Fi = ϕ(k) + Uk−1 ϕ(k−1) + · · · + U0i ϕ, where i Uj (j = 0, 1, . . . , k −1; i ∈ N) are stated as in Lemma 2.3. If Fi ≡ 0, from Lemma 2.6 and Lemma 2.7, we have σ[p+1,q] (ϕ) ≥ σ[p,q] (A0 ), a contradiction with σ[p+1,q] (ϕ) < σ[p,q] (A0 ). Hence Fi 6≡ 0. By using the same argument as in Case 1(ii), we can get λ[p+1,q] (f (i) − ϕ) = λ[p+1,q] (f (i) − ϕ) = σ[p+1,q] (f ). Case 2. Suppose that max{σ[p,q (Aj ) : j = 1, 2, . . . , k − 1} ≤ σ[p,q] (A0 ) < ∞ and max{τ[p,q] (Aj )|σ[p,q] (Aj ) = σ[p,q] (A0 ) > 0} < τ[p,q] (A0 ). (i) We first prove that λ[p+1,q] (f −ϕ) = σ[p+1,q] (f ). Since f is a nontrivial solution of (1.2), by Lemma 2.14, we have σ[p+1,q] (f ) = σ[p,q] (A0 ) > 0. Set g = f − ϕ. Since ϕ 6≡ 0 is an entire function satisfying σ[p+1,q] (ϕ) < σ[p,q] (A0 ), then we have σ[p+1,q] (g) = σ[p+1,q] (f ) = σ[p,q] (A0 ) and λ[p+1,q] (g) = λ[p+1,q] (f −ϕ). From Lemma 2.1, we get that g satisfies equation (2.1). We will affirm F 6≡ 0. If F ≡ 0, by Lemma 2.14, we get σ[p+1,q] (ϕ) = σ[p,q] (A0 ), a contradiction. Hence F 6≡ 0. From the assumptions of Case 2, we get max{σ[p+1,q] (F ), σ[p+1,q] (Aj ) : j = 0, 1, . . . , k − 1} < σ[p+1,q] (g) = σ[p,q] (A0 ). From Lemma 2.13, we have λ[p+1,q] (f − ϕ) = λ[p+1,q] (f − ϕ) = σ[p+1,q] (f ) = σ[p,q] (A0 ). (ii) Now we prove that λ[p+1,q] (f 0 − ϕ) = σ[p+1,q] (f ). Let g1 = f 0 − ϕ. Since σ[p+1,q] (ϕ) < σ[p,q] (A0 ), we have σ[p+1,q] (g1 ) = σ[p+1,q] (f ) = σ[p,q] (A0 ). By Lemma 2.2, we get that g1 satisfies equation (2.2). If F1 ≡ 0, from Lemma 2.10 and Lemma 2.12, we have σ[p+1,q] (ϕ) ≥ σ[p,q] (A0 ). Then we can get a contradiction with σ[p+1,q] (ϕ) < σ[p,q] (A0 ). Therefore, we have F1 6≡ 0. By (2.2) and Lemma 2.13, we have λ[p+1,q] (f 0 − ϕ) = λ[p+1,q] (f 0 − ϕ) = σ[p+1,q] (f ) = σ[p,q] (A0 ). 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Hong-Yan Xu Department of Informatics and Engineering, Jingdezhen Ceramic Institute, Jingdezhen, Jiangxi 333403, China E-mail address: xhyhhh@126.com Jin Tu Institute of Mathematics and informatics, Jiangxi Normal University, Nanchang, Jiangxi 330022, China E-mail address: tujin2008@sina.com