Section VIII.6

Asymptotics of High-Multiplicity Integrals

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Problem VIII.6.1

Prove that

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(a)

1αn∫Bnx12dx=1n+2\frac{1}{\alpha_{n}} \int_{B^{n}} x_{1}^{2} d x=\frac{1}{n+2};

(b)

1αn∫Bn∣xn∣dx∼n→∞2πn\frac{1}{\alpha_{n}} \int_{B^{n}}\left|x_{n}\right| d x \underset {n \rightarrow \infty }{\sim } \sqrt{\frac{2}{\pi n}};

(c)

1αn∫Bn∣x1∣pdx∼n→∞Γ(1+p2)π(2n)p/2(p>−1)\frac{1}{\alpha_{n}} \int_{B^{n}}\left|x_{1}\right|^{p} d x \underset {n \rightarrow \infty }{\sim } \frac{\Gamma \left(\frac{1+p}{2}\right)}{\sqrt{\pi }}\left(\frac{2}{n}\right)^{p / 2} \quad (p>-1).

Problem VIII.6.2

The thickness of a watermelon's rind equals 120\frac{1}{20} of the radius of the watermelon (regarded as a ball). What percentage of the volume of the watermelon does the rind constitute

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(a)

in three-dimensional space?

(b)

in 100-dimensional space?

Problem VIII.6.3

Prove that for any prescribed radius RR, in the cube [0,1]n\left[0,1\right]^{n} of sufficiently large dimension nn there is a three-dimensional section containing a three-dimensional ball of radius RR. Thus, the terrestrial globe can be placed in an "nn-dimensional cubic meter."

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Problem VIII.6.4
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(a)

The ball Bn(r)B^{n}(r) is tangent to all edges of the nn-dimensional cube [−1,1]n\left[-1,1\right]^{n}. Compare, for large nn, the volume of the cube and the volume of the ball.

(b)

The cube [−1,1]n\left[-1,1\right]^{n} is divided by the coordinate hyperplanes into 2n2^{n} cubes. In each of them we inscribe a ball, and then consider the ball Bn(ρ)B^{n}(\rho ) that is externally tangent to all the balls inscribed in the cubes. For which nn does the inclusion Bn(ρ)⊂[−1,1]nB^{n}(\rho ) \subset [-1,1]^{n} hold? Which is larger for large nn: the volume of the cube [−1,1]n\left[-1,1\right]^{n} or the volume of the ball Bn(ρ)B^{n}(\rho )?

Problem VIII.6.5

Let I=[−12,12],r∈R,ω∈Rn,ω≠0I=\left[-\frac{1}{2}, \frac{1}{2}\right], \quad r \in \mathbb {R}, \quad \omega \in \mathbb {R}^{n}, \quad \omega \neq 0. Further, let Hn−1(ω,r)={x∈In∣(x,ω)=r}H_{n-1}(\omega , r)=\left\{ x \in I^{n} \mid (x, \omega )=r\right\} be the cross-section of the cube InI^{n} by the hyperplane (x,ω)=r(x, \omega )=r.

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(a)

Prove that

λn−1(Hn−1(ω,r))=2π∥ω∥∫0+∞cos⁡(2rt)∏j=1nsin⁡(ωjt)ωjtdt \lambda _{n-1}\left(H_{n-1}(\omega , r)\right)=\frac{2}{\pi }\left\| \omega \right\| \int _{0}^{+\infty } \cos (2 r t) \prod _{j=1}^{n} \frac{\sin \left(\omega _{j} t\right)}{\omega _{j} t} d t
(b)

Find the limit as n→+∞n \rightarrow +\infty of the measure of the central cross-section orthogonal to the main diagonal of the cube, i.e., the limit of the quantity λn−1(Hn−1((1,…,1),0))\lambda_{n-1}\left(H_{n-1}((1, \ldots , 1), 0)\right).

(c)

Prove that λn−1(Hn−1(ω,r))⩽2\lambda_{n-1}\left(H_{n-1}(\omega , r)\right) \leqslant \sqrt{2} for all n=2,3,…n=2,3, \ldots, r∈Rr \in \mathbb {R} and ω∈Rn,ω≠0\omega \in \mathbb {R}^{n}, \omega \neq 0. For which cross-sections does equality hold?

Problem VIII.6.6

Alice, having found herself in a 1000-dimensional space, was asked how to make thin glass hoops (spherical belts) so that their width equals 110\frac{1}{10} of the diameter. "Nothing could be simpler," Alice replied, "one must blow spheres, and then cut off the excess" (Fig. 13). What will be the percentage of waste

Fig. 13Fig. 13

with this technology?

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Problem VIII.6.7

Let a∈Rn,∥a∥=1a \in \mathbb {R}^{n},\left\| a\right\| =1. A point xx is chosen at random in the ball BnB^{n}. Which is more probable for large n:∣(a,x)∣<10−3n:\left|(a, x)\right|<10^{-3} or ∣(a,x)∣>10−3\left|(a, x)\right|>10^{-3} ?

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Problem VIII.6.8

Two points are chosen at random on the sphere Sn−1S^{n-1}. Let LnL_{n} be the mean value of the distance between them. Prove that lim⁡Ln→2\lim L_{n} \rightarrow \sqrt{2}. This result shows that for large nn the radii drawn to two randomly chosen points on the sphere are, "as a rule," almost orthogonal.

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Problem VIII.6.9

Let PnP_{n} be the normalized Lebesgue measure on the sphere Sn−1(n)S^{n-1}(\sqrt{n}). Prove that the coordinates on this sphere are "asymptotically normally distributed," i.e., for any a,b∈R,a<ba, b \in \mathbb {R}, a<b, the relation holds

Pn{(x1,…,xn)∈Sn−1(n)∣a<xn<b}⟶n→∞12π∫abe−t22dt. P_{n}\left\{ \left(x_{1}, \ldots , x_{n}\right) \in S^{n-1}(\sqrt{n}) \mid a<x_{n}<b\right\} \underset {n \rightarrow \infty }{\longrightarrow } \frac{1}{\sqrt{2 \pi }} \int _{a}^{b} e^{-\frac{t^{2}}{2}} d t .
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Problem VIII.6.10

Let the function ff be continuous on the closed ball B⃗n\vec{B}^{n}, M=max⁡Bn‾∣f∣M=\max_{\overline{B^{n}}}\left|f\right|, and suppose that for any ω∈Sn−1\omega \in S^{n-1} and r∈[0,1]r \in [0,1] the estimate ∣f(rω)−f(ω)∣⩽h(1−r)\left|f(r \omega )-f(\omega )\right| \leqslant h(1-r) holds, where hh is an increasing function, continuous on the interval [0,1]\left[0,1\right], vanishing at zero. Prove that the mean value of the function ff on the ball BnB^{n} and on the sphere Sn−1S^{n-1} are close in the following sense: for any ε∈(0,12)\varepsilon \in \left(0, \frac{1}{2}\right)

∣1αn∫Bnf(x)dx−1σn∫Sn−1f(ω)dμn−1(ω)∣⩽2(M(1−ε)n+h(ε)). \left|\frac{1}{\alpha _{n}} \int _{B^{n}} f(x) d x-\frac{1}{\sigma _{n}} \int _{S^{n-1}} f(\omega ) d \mu _{n-1}(\omega )\right| \leqslant 2\left(M(1-\varepsilon )^{n}+h(\varepsilon )\right) .
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Problem VIII.6.11

Prove that for any q∈Rq \in \mathbb {R} the integrals ∫Rn∣x1…xn∣qndγn(x)\int_{\mathbb {R}^{n}}\left|x_{1} \ldots x_{n}\right|^{\frac{q}{n}} d \gamma_{n}(x) have, as n→∞n \rightarrow \infty, a finite positive limit.

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Problem VIII.6.12

Prove that for any q∈R,0<p<∞q \in \mathbb {R}, 0<p<\infty

1αn∫Bn∥x∥pqdx∼n→∞1σn−1∫Sn−1∥x∥pqdμn−1(x) \frac{1}{\alpha _{n}} \int _{B^{n}}\left\| x\right\| _{p}^{q} d x \underset {n \rightarrow \infty }{\sim } \frac{1}{\sigma _{n-1}} \int _{S^{n-1}}\left\| x\right\| _{p}^{q} d \mu _{n-1}(x)
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Problem VIII.6.13

Let γ~n\tilde{\gamma }_{n} be the measure in Rn\mathbb {R}^{n} with density (n2π)n/2e−n∥x∥2/2\left(\frac{n}{2 \pi }\right)^{n / 2} e^{-n\left\| x\right\|^{2} / 2};

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(a)

verify that γ~n(Rn)=1\widetilde{\gamma }_{n}\left(\mathbb {R}^{n}\right)=1;

(b)

find the limit lim⁡n→∞γ~n(Bn)\lim_{n \rightarrow \infty } \widetilde{\gamma }_{n}\left(B^{n}\right);

(c)

prove that for 0<ε<10<\varepsilon <1

∫∣∥x∥−1∣>εdγ~n(x)<2n⋅e−nε2/2 \int _{|\left\| x\right\| -1|>\varepsilon } d \widetilde{\gamma }_{n}(x)<2 \sqrt{n} \cdot e^{-n \varepsilon ^{2} / 2}
Problem VIII.6.14

Prove that for any q∈R,0<p⩽∞q \in \mathbb {R}, 0<p \leqslant \infty

∫Rn∥x∥pqdγ~n(x)∼n→∞1σn−1∫Sn−1∥x∥pqdμn−1(x) \int _{\mathbb {R}^{n}}\left\| x\right\| _{p}^{q} d \tilde{\gamma }_{n}(x) \underset {n \rightarrow \infty }{\sim } \frac{1}{\sigma _{n-1}} \int _{S^{n-1}}\left\| x\right\| _{p}^{q} d \mu _{n-1}(x)

(for the definition of the measure γ~n\tilde{\gamma }_{n} see problem 6.13).

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Problem VIII.6.15

Prove that ∫Rn∥x∥qdγn(x)∼n→∞nq/2(q∈R)\int_{\mathbb {R}^{n}}\left\| x\right\|^{q} d \gamma_{n}(x) \underset {n \rightarrow \infty }{\sim } n^{q / 2}(q \in \mathbb {R}).

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Problem VIII.6.16

Prove that for any q∈Rq \in \mathbb {R}

∫Rn∥x∥∞qdγn(x)∼n→∞(2ln⁡n)q/2 \int _{\mathbb {R}^{n}}\left\| x\right\| _{\infty }^{q} d \gamma _{n}(x) \underset {n \rightarrow \infty }{\sim }(2 \ln n)^{q / 2}
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Problem VIII.6.17

For positive sequences {an},{bn}\left\{ a_{n}\right\} ,\left\{ b_{n}\right\} the notation an≍bna_{n} \asymp b_{n} means that 0<inf⁡nanbn⩽sup⁡nanbn<∞0<\inf_{n} \frac{a_{n}}{b_{n}} \leqslant \sup_{n} \frac{a_{n}}{b_{n}}<\infty (the sequences are of the same order); the notation is used in the same sense for arbitrary families of positive numbers. Let q∈R,m,n∈N,2⩽m⩽n,m+q>0,x∈Rn\quad q \in \mathbb {R}, \quad m, n \in \mathbb {N}, \quad 2 \leqslant m \leqslant n, \quad m+q>0, \quad x \in \mathbb {R}^{n}, x=(x1,…,xn)x=\left(x_{1}, \ldots , x_{n}\right),

Ym,n=1σn−1∫Sn−1max⁡1⩽k⩽m∣xk∣qdμn−1(x) \mathcal{Y}_{m, n}=\frac{1}{\sigma _{n-1}} \int _{S^{n-1}} \max _{1 \leqslant k \leqslant m}\left|x_{k}\right|^{q} d \mu _{n-1}(x)

Prove that

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(a)

Ym,n≍(ln⁡mn)q/2\mathcal{Y}_{m, n} \asymp \left(\frac{\ln m}{n}\right)^{q / 2};

(b)

Ym,n∼m→∞(2ln⁡mn)q/2\mathcal{Y}_{m, n} \underset {m \rightarrow \infty }{\sim }\left(\frac{2 \ln m}{n}\right)^{q / 2}.

Problem VIII.6.18

For positive sequences {an},{bn}\left\{ a_{n}\right\} ,\left\{ b_{n}\right\} the notation an≍bna_{n} \asymp b_{n} means that 0<inf⁡nanbn⩽sup⁡nanbn<∞0<\inf_{n} \frac{a_{n}}{b_{n}} \leqslant \sup_{n} \frac{a_{n}}{b_{n}}<\infty (the sequences are of the same order); the notation is used in the same sense for arbitrary families of positive numbers. Prove that for any q∈R,0<p<∞q \in \mathbb {R}, 0<p<\infty

Yn(p,q)=∫Rn∥x∥pqdγn(x)≍nq/p. \mathcal{Y}_{n}(p, q)=\int _{\mathbb {R}^{n}}\left\| x\right\| _{p}^{q} d \gamma _{n}(x) \asymp n^{q / p} .

Consider successively the cases

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(a)

q>0,0<p⩽2q>0, \quad 0<p \leqslant 2;

(b)

0<q⩽p,p⩾20<q \leqslant p, \quad p \geqslant 2;

(c)

2⩽p⩽q2 \leqslant p \leqslant q;

(d)

q<0q<0.

Problem VIII.6.19

For positive sequences {an},{bn}\left\{ a_{n}\right\} ,\left\{ b_{n}\right\} the notation an≍bna_{n} \asymp b_{n} means that 0<inf⁡nanbn⩽sup⁡nanbn<∞0<\inf_{n} \frac{a_{n}}{b_{n}} \leqslant \sup_{n} \frac{a_{n}}{b_{n}}<\infty (the sequences are of the same order); the notation is used in the same sense for arbitrary families of positive numbers. Prove that for any q∈R,0<p<∞q \in \mathbb {R}, 0<p<\infty

1σn−1∫Sn−1∥x∥pqdμn−1(x)≍nqp−q2 \frac{1}{\sigma _{n-1}} \int _{S^{n-1}}\left\| x\right\| _{p}^{q} d \mu _{n-1}(x) \asymp n^{\frac{q}{p}-\frac{q}{2}}
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Problem VIII.6.20
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(a)

Prove that the radius of the ball Bn(rn)B^{n}\left(r_{n}\right) whose volume equals one is expressed by the formula

rn=n2πe(1+aln⁡nn+bn+o(1n)), r_{n}=\sqrt{\frac{n}{2 \pi e}}\left(1+a \frac{\ln n}{n}+\frac{b}{n}+o\left(\frac{1}{n}\right)\right),

and find the coefficients aa and bb. What does the Lebesgue measure (of dimension n−1n-1) of the section of this ball by a hyperplane passing through its center tend to?

(b)

Find the asymptotics of the radius ρn\rho_{n} of the ball Bn(ρn)B^{n}\left(\rho_{n}\right) whose Gaussian volume equals 12\frac{1}{2}.

Problem VIII.6.21

Let AA and BB be convex centrally symmetric (with center at zero) compacta in Rn\mathbb {R}^{n}. Can one assert that λn(A)⩽λn(B)\lambda_{n}(A) \leqslant \lambda_{n}(B), if every central section of the set AA by a hyperplane has Lebesgue measure (of dimension n−1n-1) smaller than the corresponding section of the set BB? (Compare, for large nn, the sections of the unit cube and of the ball having unit volume.)

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Problem VIII.6.22

For positive sequences {an},{bn}\left\{ a_{n}\right\} ,\left\{ b_{n}\right\} the notation an≍bna_{n} \asymp b_{n} means that 0<inf⁡nanbn⩽sup⁡nanbn<∞0<\inf_{n} \frac{a_{n}}{b_{n}} \leqslant \sup_{n} \frac{a_{n}}{b_{n}}<\infty (the sequences are of the same order); the notation is used in the same sense for arbitrary families of positive numbers. Let an,bn,cna_{n}, b_{n}, c_{n} be the average values of the function 1∥x∥1\frac{1}{\left\| x\right\|_{1}} on the sets On,Bn,[−1,1]nO_{n}, B^{n},\left[-1,1\right]^{n}, where OnO_{n} is the nn-dimensional octahedron: On={(x1,…,xn)∣∑1⩽k⩽n∣xk∣⩽1}O_{n}=\left\{ \left(x_{1}, \ldots , x_{n}\right) \mid \sum_{1 \leqslant k \leqslant n}\left|x_{k}\right| \leqslant 1\right\}. Prove that

an=nn−1,bn≍1n,cn≍1n. a_{n}=\frac{n}{n-1}, \quad b_{n} \asymp \frac{1}{\sqrt{n}}, \quad c_{n} \asymp \frac{1}{n} .
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Problem VIII.6.23

For positive sequences {an},{bn}\left\{ a_{n}\right\} ,\left\{ b_{n}\right\} the notation an≍bna_{n} \asymp b_{n} means that 0<inf⁡nanbn⩽sup⁡nanbn<∞0<\inf_{n} \frac{a_{n}}{b_{n}} \leqslant \sup_{n} \frac{a_{n}}{b_{n}}<\infty (the sequences are of the same order); the notation is used in the same sense for arbitrary families of positive numbers. Let In,Jn,KnI_{n}, J_{n}, K_{n} be the average values of the function ∥x∥22∥x∥1\frac{\left\| x\right\|_{2}^{2}}{\left\| x\right\|_{1}} on the octahedron OnO_{n}, the ball BnB^{n}, and the cube [−1,1]n\left[-1,1\right]^{n} respectively. Prove that

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(a)

In∼2nI_{n} \sim \frac{2}{n};

(b)

Jn≍1nJ_{n} \asymp \frac{1}{\sqrt{n}};

(c)

Kn≍1K_{n} \asymp 1.

Problem VIII.6.24

Let On+εBn−εO_{n}+\varepsilon B^{n}-\varepsilon be the neighborhood of the octahedron OnO_{n}.

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(a)

Find the limit lim⁡n→+∞(λn(On+εBn)αn)1/n\lim_{n \rightarrow +\infty }\left(\frac{\lambda_{n}\left(O_{n}+\varepsilon B^{n}\right)}{\alpha_{n}}\right)^{1 / n}.

(b)

Find the asymptotics of the ratio λn(On+εBn)αn\frac{\lambda_{n}\left(O_{n}+\varepsilon B^{n}\right)}{\alpha_{n}} as n→+∞n \rightarrow +\infty.

Problem VIII.6.25

Prove that λn(An)∼2(2π)n+1\lambda_{n}\left(A_{n}\right) \sim 2\left(\frac{2}{\pi }\right)^{n+1}, where

An={(x1,…,xn)∈Rn∣xk+xk+1⩽1(1⩽k<n); x1⩾0,…,xn⩾0}. A_{n}=\left\{ \left(x_{1}, \ldots , x_{n}\right) \in \mathbb {R}^{n} \mid x_{k}+x_{k+1} \leqslant 1 \quad (1 \leqslant k<n) ; \, x_{1} \geqslant 0, \ldots , x_{n} \geqslant 0\right\} .
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Problem VIII.6.26

Let VnV_{n} be a convex set, centrally symmetric about zero, contained in the cube (−1,1)n(-1,1)^{n}. Prove that if λn(Vn)>(32)n\lambda_{n}\left(V_{n}\right)>\left(\frac{3}{2}\right)^{n}, then for sufficiently large nn the set 2Vn2 V_{n} contains a point a=(a1,…,an)a=\left(a_{1}, \ldots , a_{n}\right) with integer coordinates such that ∑1⩽k⩽n∣ak∣>n10\sum_{1 \leqslant k \leqslant n}\left|a_{k}\right|>\frac{n}{10}.

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Problem VIII.6.27

Find the asymptotics of the integrals

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(a)

∫[1n,1]nmin⁡xkmax⁡xkdx\int_{\left[\frac{1}{n}, 1\right]^{n}} \frac{\min x_{k}}{\max x_{k}} d x;

(b)

∫[1n,1]nmax⁡min⁡‾xkdx\int_{\left[\frac{1}{n}, 1\right]^{n}} \max_{\overline{\min } x_{k}} d x.

Problem VIII.6.28

Prove that as n→+∞n \rightarrow +\infty

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(a)

1n∫[0,1]n∥x∥dx→13\frac{1}{\sqrt{n}} \int_{\left[0,1\right]^{n}}\left\| x\right\| d x \rightarrow \frac{1}{\sqrt{3}};

(b)

∫[0,1]nf(x1+…+xnn)dx→f(12)(f∈C([0,1]))\int_{\left[0,1\right]^{n}} f\left(\frac{x_{1}+\ldots +x_{n}}{n}\right) d x \rightarrow f\left(\frac{1}{2}\right) \quad (f \in C(\left[0,1\right]));

(c)

∫[0,1]nf(x1…xnn)dx→f(1e)(f∈C([0,1]))\int_{\left[0,1\right]^{n}} f\left(\sqrt[n]{x_{1} \ldots x_{n}}\right) d x \rightarrow f\left(\frac{1}{e}\right) \quad (f \in C(\left[0,1\right]));

(d)

∫Rnf(∣x1∣+…+∣xn∣n)dγn(x)→f(2π)(f∈C(Rn),sup⁡∣f∣<∞)\int_{\mathbb {R}^{n}} f\left(\frac{\left|x_{1}\right|+\ldots +\left|x_{n}\right|}{n}\right) d \gamma_{n}(x) \rightarrow f\left(\sqrt{\frac{2}{\pi }}\right)\left(f \in C\left(\mathbb {R}^{n}\right), \sup \left|f\right|<\infty \right).

Problem VIII.6.29

Let f⩾0,∫−∞+∞f(t)dt=1,0<p<∞f \geqslant 0, \int_{-\infty }^{+\infty } f(t) d t=1,0<p<\infty. Prove that as n→+∞(n \rightarrow +\infty \left(\right. hereafter x=(x1,…,xn)∈Rn)\left.x=\left(x_{1}, \ldots , x_{n}\right) \in \mathbb {R}^{n}\right)

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(a)

∫∥x∥p⩽cf(x1)⋅f(x2)…f(xn)dx→0\quad \int_{\left\| x\right\|_{p} \leqslant c} f\left(x_{1}\right) \cdot f\left(x_{2}\right) \ldots f\left(x_{n}\right) d x \rightarrow 0 for any c>0c>0;

(b)

∫∥x∥p⩽nθf(x1)⋅f(x2)…f(xn)dx→0\int_{\left\| x\right\|_{p} \leqslant n^{\theta }} f\left(x_{1}\right) \cdot f\left(x_{2}\right) \ldots f\left(x_{n}\right) d x \rightarrow 0 for any θ∈(0,1p)\theta \in \left(0, \frac{1}{p}\right).

(c)

Can nθn^{\theta } in part b) be replaced by (nωn)1/p\left(n \omega_{n}\right)^{1 / p}, where ωn>0,ωn→0\omega_{n}>0, \omega_{n} \rightarrow 0?

Problem VIII.6.30

For positive sequences {an},{bn}\left\{ a_{n}\right\} ,\left\{ b_{n}\right\} the notation an≍bna_{n} \asymp b_{n} means that 0<inf⁡nanbn⩽sup⁡nanbn<∞0<\inf_{n} \frac{a_{n}}{b_{n}} \leqslant \sup_{n} \frac{a_{n}}{b_{n}}<\infty (the sequences are of the same order); the notation is used in the same sense for arbitrary families of positive numbers. Let p>1,f∈Lp(0,1),∥f∥p≠0p>1, f \in \mathscr {L}^{p}(0,1),\left\| f\right\|_{p} \neq 0. Prove that as n→∞n \rightarrow \infty

In=∫(0,1)n(∑k=1n∣f(xk)∣p)1/pdx≍n1/p I_{n}=\int _{(0,1)^{n}}\left(\sum _{k=1}^{n}\left|f\left(x_{k}\right)\right|^{p}\right)^{1 / p} d x \asymp n^{1 / p}

(the coefficients of the relation ≍\asymp depend on ff and pp).

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Problem VIII.6.31

For positive sequences {an},{bn}\left\{ a_{n}\right\} ,\left\{ b_{n}\right\} the notation an≍bna_{n} \asymp b_{n} means that 0<inf⁡nanbn⩽sup⁡nanbn<∞0<\inf_{n} \frac{a_{n}}{b_{n}} \leqslant \sup_{n} \frac{a_{n}}{b_{n}}<\infty (the sequences are of the same order); the notation is used in the same sense for arbitrary families of positive numbers. Let FF be the decreasing distribution function of a measurable function ff on (0,1)(0,1). As is known, if f∈Lp(0,1)f \in \mathscr {L}^{p}(0,1), then F(t)=o(1/tp)F(t)=o\left(1 / t^{p}\right) as t→+∞t \rightarrow +\infty (see problem 3.13). Suppose that FF satisfies only the weaker condition: F(t)=O(1/tp)F(t)=O\left(1 / t^{p}\right) as t→+∞t \rightarrow +\infty. Prove that in this case, for p>1p>1,

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(a)

the integral InI_{n} from the previous problem admits the estimate

In=O((nln⁡(n+1))1/p); I_{n}=O\left((n \ln (n+1))^{1 / p}\right) ;
(b)

this estimate is sharp in the following sense:

 if F(t)≍1/tp as t→+∞, then In≍(nln⁡(n+1))1/p. \text{ if } \quad F(t) \asymp 1 / t^{p} \quad \text{ as } \quad t \rightarrow +\infty , \quad \text{ then } \quad I_{n} \asymp (n \ln (n+1))^{1 / p} .
Problem VIII.6.32

Prove that for any nn and any vector a∈Rna \in \mathbb {R}^{n} the inequality

Ap∥a∥⩽(2−n∫[−1,1]n∣(x,a)∣pdx)1/p⩽Bp∥a∥ A_{p}\left\| a\right\| \leqslant \left(2^{-n} \int _{\left[-1,1\right]^{n}}\left|(x, a)\right|^{p} d x\right)^{1 / p} \leqslant B_{p}\left\| a\right\|

holds, where Ap,BpA_{p}, B_{p} are positive constants depending only on p>0p>0 (cf. Problem 3.37 a)).

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