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5.2. The case j k = 0 : uniform estimates and asymptotics [053M]

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5.2. The case jk=0j_{k}=0: uniform estimates and asymptotics

In this subsection, we consider the case jk=0j_{k}=0 so (5.17) reduces to the homogeneous ODE

(5.30) d2​uk​(z)d​z2−n​λk⋅zn−2​uk​(z)=0,z≥1.\frac{d^{2}u_{k}(z)}{dz^{2}}-n\lambda_{k}\cdot z^{n-2}u_{k}(z)=0,z\geq 1.

When λk=0\lambda_{k}=0 the equation has trivial solutions given by linear functions. In this subsection we always assume λk≠0\lambda_{k}\neq 0. As discussed in Section 5.1 under the change of variables given by (5.21) and (5.23), we are lead to study the modified Bessel equation.

(5.31) y2⋅d2​ℬ​(y)d​y2+y⋅d​ℬ​(y)d​y−(y2+ν2)⋅ℬ⁡(y)=0,ν∈ℝ.y^{2}\cdot\frac{d^{2}\mathcal{B}(y)}{dy^{2}}+y\cdot\frac{d\mathcal{B}(y)}{dy}-(y^{2}+\nu^{2})\cdot\mathcal{B}(y)=0,\ \nu\in\mathbb{R}.

There are two linearly independent solutions Iν​(y)I_{\nu}(y) and Kν​(y)K_{\nu}(y) called the modified Bessel functions, whose definition is given in Appendix A. These yield two linearly independent solutions to the original equation (5.17), given by

(5.32) {𝒢k​(z)≡z12⋅I1n​(2​λkn⋅zn2),𝒟k​(z)≡z12⋅K1n​(2​λkn⋅zn2).\begin{cases}\mathcal{G}_{k}(z)\equiv z^{\frac{1}{2}}\cdot I_{\frac{1}{n}}\Big(2\sqrt{\frac{\lambda_{k}}{n}}\cdot z^{\frac{n}{2}}\Big),\\ \mathcal{D}_{k}(z)\equiv z^{\frac{1}{2}}\cdot K_{\frac{1}{n}}\Big(2\sqrt{\frac{\lambda_{k}}{n}}\cdot z^{\frac{n}{2}}\Big).\end{cases}

First by the definition of IνI_{\nu} and KνK_{\nu} we can compute its Wronskian

Proposition 5.3.

Let ν>0\nu>0 and y>0y>0, then

(5.33) 𝒲⁡(Iν​(y),Kν​(y))=−1y.\mathcal{W}(I_{\nu}(y),K_{\nu}(y))=-\frac{1}{y}.
Proof.

Since IνI_{\nu} and KνK_{\nu} satisfy

(5.34) dd​y​(y⋅Iν′​(y))−(y+ν2y)​Iν​(y)=0,\displaystyle\frac{d}{dy}(y\cdot I_{\nu}^{\prime}(y))-(y+\frac{\nu^{2}}{y})I_{\nu}(y)=0,
(5.35) dd​y​(y⋅Kν′​(y))−(y+ν2y)​Kν​(y)=0.\displaystyle\frac{d}{dy}(y\cdot K_{\nu}^{\prime}(y))-(y+\frac{\nu^{2}}{y})K_{\nu}(y)=0.

This implies that

(5.36) Kν​(y)⋅dd​y​(y⋅Iν′​(y))−Iν​(y)⋅dd​y​(y⋅Kν′​(y))=0,K_{\nu}(y)\cdot\frac{d}{dy}(y\cdot I_{\nu}^{\prime}(y))-I_{\nu}(y)\cdot\frac{d}{dy}(y\cdot K_{\nu}^{\prime}(y))=0,

and hence

(5.37) dd​y​(y⋅𝒲⁡(Iν​(y),Kν​(y)))=0.\frac{d}{dy}\Big(y\cdot\mathcal{W}(I_{\nu}(y),K_{\nu}(y))\Big)=0.

Therefore, y⋅𝒲⁡(Iν​(y),Kν​(y))y\cdot\mathcal{W}(I_{\nu}(y),K_{\nu}(y)) is a constant.

Next, we will compute this constant which equals the limit of y⋅𝒲⁡(Iν​(y),Kν​(y))y\cdot\mathcal{W}(I_{\nu}(y),K_{\nu}(y)) as y→0y\to 0. By definition,

(5.38) limy→0Iν​(y)/(yνΓ⁡(ν+1)⋅2ν)=1,limy→0Kν​(y)/(π2​sin⁡(ν​π)⋅2ν⋅y−νΓ⁡(1−ν))=1.\lim\limits_{y\to 0}I_{\nu}(y)\Big/\Big(\frac{y^{\nu}}{\Gamma(\nu+1)\cdot 2^{\nu}}\Big)=1,\ \lim\limits_{y\to 0}K_{\nu}(y)\Big/\Big(\frac{\pi}{2\sin(\nu\pi)}\cdot\frac{2^{\nu}\cdot y^{-\nu}}{\Gamma(1-\nu)}\Big)=1.

Notice that

(5.39) Γ⁡(ν+1)​Γ​(1−ν)=ν​Γ​(ν)​Γ​(1−ν)=ν​πsin⁡(ν​π),\Gamma(\nu+1)\Gamma(1-\nu)=\nu\Gamma(\nu)\Gamma(1-\nu)=\frac{\nu\pi}{\sin(\nu\pi)},

then it is straightforward that

(5.40) limy→0y⋅(Iν​(y)​Kν′​(y)−Kν​(y)​Iν′​(y))=−1.\lim\limits_{y\to 0}y\cdot(I_{\nu}(y)K_{\nu}^{\prime}(y)-K_{\nu}(y)I_{\nu}^{\prime}(y))=-1.

This completes the proof. ∎

Corollary 5.3.1.

For any z>0z>0, we have

(5.41) 𝒲⁡(𝒢k​(z),𝒟k​(z))=−n2.\mathcal{W}(\mathcal{G}_{k}(z),\mathcal{D}_{k}(z))=-\frac{n}{2}.
Proof.

Applying Lemma 5.3 and the chain rule,

(5.42) 𝒲(𝒢k(z),𝒟k(z))=−z⋅n(λkn)12⋅zn2−1⋅12​(λkn)12​zn2=−n2.\mathcal{W}(\mathcal{G}_{k}(z),\mathcal{D}_{k}(z))=-z\cdot n(\frac{\lambda_{k}}{n})^{\frac{1}{2}}\cdot z^{\frac{n}{2}-1}\cdot\frac{1}{2(\frac{\lambda_{k}}{n})^{\frac{1}{2}}z^{\frac{n}{2}}}=-\frac{n}{2}.

∎

By Corollary A.8.1, we also have the asymptotics of the solutions for each fixed kk.

Lemma 5.4.

As z→∞z\rightarrow\infty we have

(5.43) 𝒢k​(z)\displaystyle\mathcal{G}_{k}(z) ∼12​π⋅(λkn)14⋅e2​λkn⋅zn2zn−24,\displaystyle\sim\frac{1}{2\sqrt{\pi}\cdot(\frac{\lambda_{k}}{n})^{\frac{1}{4}}}\cdot\frac{e^{2\sqrt{\frac{\lambda_{k}}{n}}\cdot z^{\frac{n}{2}}}}{z^{\frac{n-2}{4}}},
(5.44) 𝒟k​(z)\displaystyle\mathcal{D}_{k}(z) ∼π2​(λkn)14⋅e−2λkn⋅zn2zn−24.\displaystyle\sim\frac{\sqrt{\pi}}{2(\frac{\lambda_{k}}{n})^{\frac{1}{4}}}\cdot\frac{e^{-2\sqrt{\frac{\lambda_{k}}{n}}\cdot z^{\frac{n}{2}}}}{z^{\frac{n-2}{4}}}.

In our proof of Theorem 5.2, we need uniform estimates (with respect to kk and zz) on 𝒢k\mathcal{G}_{k} and 𝒟k\mathcal{D}_{k}. So in the following, we will prove uniform estimates for Iν​(y)I_{\nu}(y) and Kν​(y)K_{\nu}(y) for all y≥1y\geq 1. Notice that, in this subsection we are interested in the case jk=0j_{k}=0 which corresponds to ν=1n\nu=\frac{1}{n}. However, the following formulae and estimates work for general ν∈ℝ\nu\in\mathbb{R}, and we shall need the case ν=−1n\nu=-\frac{1}{n} in Section 5.3. We will apply appropriate integral representations of Iν​(y)I_{\nu}(y) and Kν​(y)K_{\nu}(y) to study their upper bounds and asymptotic behaviors. The following integral formulae will play a fundamental role in our estimates: Let y>0y>0, then by Lemma A.1, we have

(5.45) Iν​(y)=1π​∫0πey​cos⁡θ​cos⁡(ν​θ)​𝑑θ−sin⁡(ν​π)π​∫0∞e−y​cosh⁡t−ν​t​𝑑tI_{\nu}(y)=\frac{1}{\pi}\int_{0}^{\pi}e^{y\cos\theta}\cos(\nu\theta)d\theta-\frac{\sin(\nu\pi)}{\pi}\int_{0}^{\infty}e^{-y\cosh t-\nu t}dt

and

(5.46) Kν​(y)=∫0∞e−y​cosh⁡t​cosh⁡(ν​t)​𝑑t.K_{\nu}(y)=\int_{0}^{\infty}e^{-y\cosh t}\cosh(\nu t)dt.
Proposition 5.5.

The following hold

  1. (1)

    For all ν∈ℝ\nu\in\mathbb{R}, there is a constant C⁡(ν)>1C(\nu)>1 such that

    (5.47) C−1​(ν)⋅e−yy≤Kν​(y)≤C⁡(ν)⋅e−yy,y≥1;\displaystyle C^{-1}(\nu)\cdot\frac{e^{-y}}{\sqrt{y}}\leq K_{\nu}(y)\leq C(\nu)\cdot\frac{e^{-y}}{\sqrt{y}},\qquad y\geq 1;
    (5.48) Iν​(y)≤{C⁡(ν)⋅eyy,y≥1,C⁡(ν)⋅yν,0<y≤1.\displaystyle I_{\nu}(y)\leq\begin{cases}C(\nu)\cdot\frac{e^{y}}{\sqrt{y}},&y\geq 1,\\ C(\nu)\cdot y^{\nu},&0<y\leq 1.\end{cases}
  2. (2)

    For all ν>−1\nu>-1, we have

    (5.49) Iν​(y)≥{C​(ν)−1⋅eyy,y≥1,C​(ν)−1⋅yν,0<y≤1.\displaystyle I_{\nu}(y)\geq\begin{cases}C(\nu)^{-1}\cdot\frac{e^{y}}{\sqrt{y}},&y\geq 1,\\ C(\nu)^{-1}\cdot y^{\nu},&0<y\leq 1.\end{cases}
Proof.

In the proof the constant C⁡(ν)C(\nu) may vary from line to line. First we prove Item (1). To start with, we prove the upper bound estimate for the solution Kν​(y)K_{\nu}(y). Notice that cosh⁡(t)≥1+t22\cosh(t)\geq 1+\frac{t^{2}}{2} for every t≥0t\geq 0, then

(5.50) Kν​(y)\displaystyle K_{\nu}(y) =\displaystyle= ∫0∞e−y​cosh⁡t​cosh⁡(ν​t)​𝑑t\displaystyle\int_{0}^{\infty}e^{-y\cosh t}\cosh(\nu t)dt
≤\displaystyle\leq ∫0∞e−y⁡(1+t22)​cosh⁡(ν​t)​𝑑t\displaystyle\int_{0}^{\infty}e^{-y(1+\frac{t^{2}}{2})}\cosh(\nu t)dt
=\displaystyle= e−y2​(∫0∞e−y​t22+ν​t​𝑑t+∫0∞e−y​t22−ν​t​𝑑t).\displaystyle\frac{e^{-y}}{2}\Big(\int_{0}^{\infty}e^{-\frac{yt^{2}}{2}+\nu t}dt+\int_{0}^{\infty}e^{-\frac{yt^{2}}{2}-\nu t}dt\Big).

Now we prove that, for y≥1y\geq 1 and ν∈ℝ\nu\in\mathbb{R},

(5.51) ∫0∞e−y​t22+ν​t​𝑑t≤C⁡(ν)⋅1y.\int_{0}^{\infty}e^{-\frac{yt^{2}}{2}+\nu t}dt\leq C(\nu)\cdot\frac{1}{\sqrt{y}}.

It is by straightforward computation that

(5.52) ∫0∞e−y​t22+ν​t​𝑑t\displaystyle\int_{0}^{\infty}e^{-\frac{yt^{2}}{2}+\nu t}dt =\displaystyle= ∫0∞e−(y2​t−ν2​2y)2+ν22​y​𝑑t\displaystyle\int_{0}^{\infty}e^{-(\sqrt{\frac{y}{2}}t-\frac{\nu}{2}\sqrt{\frac{2}{y}})^{2}+\frac{\nu^{2}}{2y}}dt
=\displaystyle= 2y⋅eν22​y∫−ν2​2y∞e−τ2dτ,\displaystyle\sqrt{\frac{2}{y}}\cdot e^{\frac{\nu^{2}}{2y}}\int_{-\frac{\nu}{2}\sqrt{\frac{2}{y}}}^{\infty}e^{-\tau^{2}}d\tau,

where τ=y2​t−ν2​2y\tau=\sqrt{\frac{y}{2}}t-\frac{\nu}{2}\sqrt{\frac{2}{y}}. Notice that

(5.53) ∫−ν2​2y∞e−τ2​𝑑τ≤∫−∞∞e−τ2​𝑑τ=π.\int_{-\frac{\nu}{2}\sqrt{\frac{2}{y}}}^{\infty}e^{-\tau^{2}}d\tau\leq\int_{-\infty}^{\infty}e^{-\tau^{2}}d\tau=\sqrt{\pi}.

Moreover, the assumption y≥1y\geq 1 implies eν22​y≤eν22e^{\frac{\nu^{2}}{2y}}\leq e^{\frac{\nu^{2}}{2}}, so it holds that

(5.54) ∫0∞e−y​t22+ν​t​𝑑t≤C⁡(ν)⋅1y.\int_{0}^{\infty}e^{-\frac{yt^{2}}{2}+\nu t}dt\leq C(\nu)\cdot\frac{1}{\sqrt{y}}.

Similarly,

(5.55) ∫0∞e−y​t22−ν​t​𝑑t≤C⁡(ν)⋅1y.\int_{0}^{\infty}e^{-\frac{yt^{2}}{2}-\nu t}dt\leq C(\nu)\cdot\frac{1}{\sqrt{y}}.

Therefore, we have

(5.56) Kν​(y)≤C⁡(ν)⋅e−yy,K_{\nu}(y)\leq C(\nu)\cdot\frac{e^{-y}}{\sqrt{y}},

where C⁡(ν)>0C(\nu)>0 depends only on ν\nu.

Next we prove the lower bound estimate for Kν​(y)K_{\nu}(y). The integral representation of Kν​(y)K_{\nu}(y) can be written as follows,

(5.57) Kν​(y)\displaystyle K_{\nu}(y) =e−y2​(∫0∞e−y⁡(cosh⁡t−1)+ν​t​𝑑t+∫0∞e−y⁡(cosh⁡t−1)−ν​t​𝑑t).\displaystyle=\frac{e^{-y}}{2}\Big(\int_{0}^{\infty}e^{-y(\cosh t-1)+\nu t}dt+\int_{0}^{\infty}e^{-y(\cosh t-1)-\nu t}dt\Big).

We will give lower bound estimates for the above two integrals respectively. It is straightforward that

(5.58) ∫0∞e−y⁡(cosh⁡t−1)+ν​t​𝑑t≥∫01e−y⁡(cosh⁡t−1)+ν​t​𝑑t=∫01e−y⋅cosh⁡(θt)​t22+ν​t​𝑑t\int_{0}^{\infty}e^{-y(\cosh t-1)+\nu t}dt\geq\int_{0}^{1}e^{-y(\cosh t-1)+\nu t}dt=\int_{0}^{1}e^{-\frac{y\cdot\cosh(\theta_{t})t^{2}}{2}+\nu t}dt

for some 0≤θt≤10\leq\theta_{t}\leq 1, which implies that

(5.59) ∫0∞e−y⁡(cosh⁡t−1)+ν​t​𝑑t≥∫01e−2​y​t2+ν​t​𝑑t.\int_{0}^{\infty}e^{-y(\cosh t-1)+\nu t}dt\geq\int_{0}^{1}e^{-2yt^{2}+\nu t}dt.

The calculations in the last step imply that for y≥1y\geq 1,

(5.60) C−1​(ν)y≤∫01e−2​y​t2+ν​t≤C⁡(ν)y.\frac{C^{-1}(\nu)}{\sqrt{y}}\leq\int_{0}^{1}e^{-2yt^{2}+\nu t}\leq\frac{C(\nu)}{\sqrt{y}}.

Therefore,

(5.61) ∫01e−y⁡(cosh⁡t−1)+ν​t​𝑑t≥C−1​(ν)y.\int_{0}^{1}e^{-y(\cosh t-1)+\nu t}dt\geq\frac{C^{-1}(\nu)}{\sqrt{y}}.

By the same calculations,

(5.62) ∫01e−y⁡(cosh⁡t−1)−ν​t​𝑑t≥C−1​(ν)y.\int_{0}^{1}e^{-y(\cosh t-1)-\nu t}dt\geq\frac{C^{-1}(\nu)}{\sqrt{y}}.

This completes the proof of (5.47).

To see (5.48) we first assume y≥1y\geq 1. We use the integral representation

(5.63) Iν​(y)=1π​∫0πey​cos⁡θ​cos⁡(ν​θ)​𝑑θ−sin⁡(ν​π)π​∫0∞e−y​cosh⁡t−ν​t​𝑑t.I_{\nu}(y)=\frac{1}{\pi}\int_{0}^{\pi}e^{y\cos\theta}\cos(\nu\theta)d\theta-\frac{\sin(\nu\pi)}{\pi}\int_{0}^{\infty}e^{-y\cosh t-\nu t}dt.

To estimate the second term, we use the integral estimate

(5.64) ∫0∞e−y​cosh⁡t−ν​t​𝑑t≤e−y​∫0∞e−y​t22−ν​t​𝑑t≤C⁡(ν)⋅e−yy.\int_{0}^{\infty}e^{-y\cosh t-\nu t}dt\leq e^{-y}\int_{0}^{\infty}e^{-\frac{yt^{2}}{2}-\nu t}dt\leq C(\nu)\cdot\frac{e^{-y}}{\sqrt{y}}.

Next, we estimate the first term of Iν​(y)I_{\nu}(y). Since for every θ∈[0,π3]\theta\in[0,\frac{\pi}{3}],

(5.65) cos⁡θ≤1−θ22+θ424≤1−θ24,\cos\theta\leq 1-\frac{\theta^{2}}{2}+\frac{\theta^{4}}{24}\leq 1-\frac{\theta^{2}}{4},

then

(5.66) |1π​∫0πey​cos⁡θ​cos⁡(ν​θ)​𝑑θ|\displaystyle\Big|\frac{1}{\pi}\int_{0}^{\pi}e^{y\cos\theta}\cos(\nu\theta)d\theta\Big| ≤\displaystyle\leq 1π​∫0π3ey​cos⁡θ​𝑑θ+1π​∫π3πey​cos⁡θ​𝑑θ\displaystyle\frac{1}{\pi}\int_{0}^{\frac{\pi}{3}}e^{y\cos\theta}d\theta+\frac{1}{\pi}\int_{\frac{\pi}{3}}^{\pi}e^{y\cos\theta}d\theta

Estimating the right hand side separately, we get

|1π​∫0πey​cos⁡θ​cos⁡(ν​θ)​𝑑θ|\displaystyle\Big|\frac{1}{\pi}\int_{0}^{\pi}e^{y\cos\theta}\cos(\nu\theta)d\theta\Big| ≤\displaystyle\leq eyπ​∫0π3e−y⋅θ24​𝑑θ+2​ey23≤2​eyπ⋅y+2​ey23≤10​eyy.\displaystyle\frac{e^{y}}{\pi}\int_{0}^{\frac{\pi}{3}}e^{-\frac{y\cdot\theta^{2}}{4}}d\theta+\frac{2e^{\frac{y}{2}}}{3}\leq\frac{2e^{y}}{\sqrt{\pi}\cdot\sqrt{y}}+\frac{2e^{\frac{y}{2}}}{3}\leq\frac{10e^{y}}{\sqrt{y}}.

Therefore,

(5.67) Iν​(y)≤10​eyy+C⁡(ν)⋅e−yy≤C⁡(ν)⋅eyy.I_{\nu}(y)\leq\frac{10e^{y}}{\sqrt{y}}+\frac{C(\nu)\cdot e^{-y}}{\sqrt{y}}\leq\frac{C(\nu)\cdot e^{y}}{\sqrt{y}}.

Now we assume y∈(0,1]y\in(0,1]. Since IνI_{\nu} is smooth, we only need to analyze the behavior of Iν​(y)I_{\nu}(y) as y→0y\to 0. By the definition of Iν​(y)I_{\nu}(y) we see if ν≥0\nu\geq 0 or ν\nu is a negative integer, limy→0Iν​(y)=0\lim\limits_{y\rightarrow 0}I_{\nu}(y)=0. For any ν<0\nu<0, we have

(5.68) limy→0Iν​(y)/(y2)νΓ⁡(ν+1)=1.\lim\limits_{y\to 0}I_{\nu}(y)\Big/\frac{(\frac{y}{2})^{\nu}}{\Gamma(\nu+1)}=1.

Therefore, for any y∈(0,1]y\in(0,1],

(5.69) Iν​(y)≤C⁡(ν)⋅yν.I_{\nu}(y)\leq C(\nu)\cdot y^{\nu}.

Now we prove Item (2). First we observe that by the definition of IνI_{\nu} using power series, when ν∈(−1,0)\nu\in(-1,0), Iν​(y)I_{\nu}(y) is positive for all y∈(0,∞)y\in(0,\infty). So the lower bound of IνI_{\nu} for y∈(0,1]y\in(0,1] follows just as before. Now we assume y≥1y\geq 1. To get the lower bound on IνI_{\nu}, it suffices to get the lower bound on the first term of (5.63). Suppose ν≠0\nu\neq 0, denote ην=min⁡(π,π3​|ν|)\eta_{\nu}=\min(\pi,\frac{\pi}{3|\nu|}), then we divide the integral into two parts

(5.70) ∫0πey​cos⁡θ​cos⁡(ν​θ)​𝑑θ=∫0ηνey​cos⁡θ​cos⁡(ν​θ)​𝑑θ+∫ηνπey​cos⁡θ​cos⁡(ν​θ)​𝑑θ.\int_{0}^{\pi}e^{y\cos\theta}\cos(\nu\theta)d\theta=\int_{0}^{\eta_{\nu}}e^{y\cos\theta}\cos(\nu\theta)d\theta+\int_{\eta_{\nu}}^{\pi}e^{y\cos\theta}\cos(\nu\theta)d\theta.

Since cos⁡θ≥1−θ22\cos\theta\geq 1-\frac{\theta^{2}}{2} we get

(5.71) ∫0ηνey​cos⁡θ​cos⁡(ν​θ)​𝑑θ≥12​ey​∫0ηνe−θ22​y​𝑑θ≥C⁡(ν)​eyy,\int_{0}^{\eta_{\nu}}e^{y\cos\theta}\cos(\nu\theta)d\theta\geq\frac{1}{2}e^{y}\int_{0}^{\eta_{\nu}}e^{-\frac{\theta^{2}}{2}y}d\theta\geq C(\nu)\frac{e^{y}}{\sqrt{y}},

and for the second term we have

(5.72) |∫ηνπey​cos⁡θ​cos⁡(ν​θ)​𝑑θ|≤∫ηνπey​cos⁡θ​𝑑θ≤(π−ην)​ecos⁡(ην)​y.\Big|\int_{\eta_{\nu}}^{\pi}e^{y\cos\theta}\cos(\nu\theta)d\theta\Big|\leq\int_{\eta_{\nu}}^{\pi}e^{y\cos\theta}d\theta\leq(\pi-\eta_{\nu})e^{\cos(\eta_{\nu})y}.

So we get

(5.73) Iν​(y)≥C−1​(ν)​eyy.I_{\nu}(y)\geq C^{-1}(\nu)\frac{e^{y}}{\sqrt{y}}.

For ν=0\nu=0 the argument is similar. This completes the proof of Item (1).

∎

Converting the above back to 𝒢k\mathcal{G}_{k} and 𝒟k\mathcal{D}_{k}, we obtain

Corollary 5.5.1.

There is a dimensional constant C⁡(n)>0C(n)>0 such that z≥2−2n​n1n​λ¯−1nz\geq 2^{-\frac{2}{n}}n^{\frac{1}{n}}\underline{\lambda}^{-\frac{1}{n}}, we have

(5.74) C−1​(n)λk14⋅e−2λkn⋅zn2zn−24\displaystyle\frac{C^{-1}(n)}{\lambda_{k}^{\frac{1}{4}}}\cdot\frac{e^{-2\sqrt{\frac{\lambda_{k}}{n}}\cdot z^{\frac{n}{2}}}}{z^{\frac{n-2}{4}}} ≤𝒟k​(z)≤C⁡(n)λk14⋅e−2λkn⋅zn2zn−24,\displaystyle\leq\mathcal{D}_{k}(z)\leq\frac{C(n)}{\lambda_{k}^{\frac{1}{4}}}\cdot\frac{e^{-2\sqrt{\frac{\lambda_{k}}{n}}\cdot z^{\frac{n}{2}}}}{z^{\frac{n-2}{4}}},
(5.75) C−1​(n)λk14⋅e2​λkn⋅zn2zn−24\displaystyle\frac{C^{-1}(n)}{\lambda_{k}^{\frac{1}{4}}}\cdot\frac{e^{2\sqrt{\frac{\lambda_{k}}{n}}\cdot z^{\frac{n}{2}}}}{z^{\frac{n-2}{4}}} ≤𝒢k​(z)≤C⁡(n)λk14⋅e2​λkn⋅zn2zn−24.\displaystyle\leq\mathcal{G}_{k}(z)\leq\frac{C(n)}{\lambda_{k}^{\frac{1}{4}}}\cdot\frac{e^{2\sqrt{\frac{\lambda_{k}}{n}}\cdot z^{\frac{n}{2}}}}{z^{\frac{n-2}{4}}}.

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