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Generating-coefficient estimate for the quadratic CQ datum

Statement

Let 0<α<1, put β=2−α, and define cm:=Γ(m+β+1)Γ(β+1)Γ(m+1)(m≥0), s1:=1,sn:=cn−1+cn−2(n≥2). There is a constant Cα<∞ such that for every n≥1, ∣sn−2nβΓ(β+1)∣≤Cαnβ−1. For n≥1, sn is the coefficient of zn in the real Taylor series about 0 of z(1+z)(1−z)α−3 on (−1,1).

Facts & Assumptions

Given: 0<α<1, β=2−α, and n≥1.

[F1]

Backward-Euler convolution quadrature for a Caputo equation: for h>0 and vn=n2, ∂ˉhαvn=h−α∑j=0nωj(n−j)2. Thus the unscaled weight convolution is hα∂ˉhαvn=∑j=0nωj(n−j)2.

[F2]

Backward-Euler fractional weights and positive partial sums and On positive reals, the principal branch power agrees with the published real power: for real z∈(−1,1), ∑j≥0ωjzj=(1−z)α in the real-power convention.

[F3]

The real Gamma functional equation Γ(s+1)=sΓ(s): Γ(x+1)=xΓ(x) for x>0.

[F4]

The real Gamma function by Euler's integral: Γ(x)>0 for x>0 and Γ(1)=1.

[F5]

Gautschi's inequality for the real Gamma function: for x>0 and 0≤q≤1, x1−q≤Γ(x+1)/Γ(x+q)≤(x+1)1−q.

[F11]

Inside the common radius the product of two power-series sums is represented by the Cauchy product of their coefficients: inside the common radius, the product of two power-series sums has the Cauchy-product coefficients.

Proof

1.1givenF3F4F6F7F8F9F12algebra

By [F3] and Γ(1)=1 in [F4], c0=1 and cm+1/cm=(m+β+1)/(m+1). These terms are positive by [F4], and for every fixed real z with 0<∣z∣<1 the ratio of successive absolute terms of ∑cmzm tends to ∣z∣. Hence [F6] gives absolute convergence there; for z=0 only the constant term remains. The coefficient recurrence yields (m+1)cm+1=(m+β+1)cm; by [F7], coefficient comparison gives (1−z)C′(z)=(β+1)C(z) for C(z):=∑m≥0cmzm. The derivative of C(z)(1−z)β+1 is therefore zero by [F8]. It equals 1 at z=0, so [F9] and [F8] give C(z)=(1−z)−(β+1) for real z∈(−1,1).

2.1F1F2F7F8F10F11F12step 1.1algebra

Starting from [F10], termwise differentiation by [F7] gives ∑m≥0mzm=z(1−z)2,∑m≥0m2zm=zddz(z(1−z)2)=z(1+z)(1−z)3 for real z∈(−1,1). Multiplying by the real symbol in [F2] and using [F8] gives z(1+z)(1−z)α−3. By [F11], its zn coefficient is the unscaled convolution ∑j=0nωj(n−j)2=hα∂ˉhαvn for vn=n2; by step 1.1 it is 1 for n=1 and cn−1+cn−2 for n≥2. This proves the coefficient assertion.

2.2step 1.1F3F5F8F9algebra

Put r=1−α=β−1∈(0,1). For n≥2, apply [F5] with x=n−α and q=α. It gives (n−α)r≤Γ(n+1−α)/Γ(n)≤(n+1−α)r. By [F3], cn−1=(n+1−α)Γ(n+1−α)Γ(β+1)Γ(n). Consequently cn−1 lies between (n+1−α)(n−α)r/Γ(β+1) and (n+1−α)r+1/Γ(β+1). For the upper endpoint, the mean value theorem gives (n+1−α)r+1−nr+1≤(r+1)(n+1)r≤Cnr. For the lower endpoint, write ∣(n+1−α)(n−α)r−nr+1∣≤(n+1−α)∣(n−α)r−nr∣+(1−α)nr. Because n≥2, n−α≥n/2; the mean value theorem bounds ∣nr−(n−α)r∣≤rα(n/2)r−1, and n+1−α≤3n/2. Thus this lower endpoint also differs from nr+1 by at most a constant depending on α times nr. Dividing by the fixed positive Γ(β+1) proves Thus ∣cn−1−nβ/Γ(β+1)∣≤Cαnβ−1 after enlarging the constant.

3.1step 2.2F8F9algebra∎

For n≥3, apply the same estimate with n−1 in place of n to cn−2. Also ∣nβ−(n−1)β∣≤βnβ−1 by the mean value theorem. Hence ∣cn−2−nβ/Γ(β+1)∣≤Cαnβ−1 after another enlargement. The cases n=1,2 have finite coefficients and are covered by enlarging Cα once more. Adding the two estimates proves the claim.

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