Smoothness and convexity of the gamma function

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Prove that the Γ\Gamma function Γ(x)\Gamma (x) is continuous on the domain x>0x>0, and has continuous derivatives of every order.

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Prove that Γ(p)\Gamma (p) is an infinitely differentiable function, and moreover

Γ(m)(p)=∫0+∞xp−1(ln⁡x)me−xdx \Gamma ^{(m)}(p) = \int _{0}^{+\infty } x^{p-1}(\ln x)^{m} e^{-x} d x
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Prove that

Γ(α)∼1/α\Gamma (\alpha ) \sim 1 / \alpha as α→+0\alpha \rightarrow +0 and Γ(α)→+∞\Gamma (\alpha ) \rightarrow +\infty as α→+∞\alpha \rightarrow +\infty.

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Prove that the function Γ(α)\Gamma (\alpha ) is strictly convex upward on the interval (0;+∞)(0 ;+\infty ).

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(a)

Let an,λn⩾0(n∈N),f(x)=∑ane−λnxa_{n}, \lambda_{n} \geqslant 0 \quad (n \in \mathbb {N}), f(x)=\sum a_{n} e^{-\lambda_{n} x}. Prove that ln⁡f\ln f is a convex function on R\mathbb {R}.

(b)

A positive function ff is called logarithmically convex if the function ln⁡f\ln f is convex. Prove that a logarithmically convex function is convex and that the sum of logarithmically convex functions is logarithmically convex.

(c)

Prove that the Euler Gamma function is logarithmically convex on (0,+∞)(0,+\infty ).

(d)

Let ff be a logarithmically convex solution on (0,+∞)(0,+\infty ) of the functional equation f(x+1)=xf(x)(x>0)f(x+1)=x f(x)(x>0). Prove that f(x)=f(1)Γ(x)f(x)=f(1) \Gamma (x) for all x>0x>0.

Euler's gamma function is defined for positive tt by Γ(t)=∫0∞xt−1e−xdx\Gamma (t)=\int_{0}^{\infty } x^{t-1} e^{-x} d x.

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(a)

Prove that Γ(k)(t)=∫0∞xt−1(log⁡x)ke−xdx\Gamma^{(k)}(t)=\int_{0}^{\infty } x^{t-1}(\log x)^{k} e^{-x} d x.

(b)

Show by partial integration that Γ(t+1)=tΓ(t)\Gamma (t+1)=t \Gamma (t) and hence that Γ(n+1)=n!\Gamma (n+1) =n! for integral nn.

(c)

From (18.10) deduce Γ(12)=π\Gamma \left(\frac{1}{2}\right)=\sqrt{\pi }.

(d)

Show that the unit sphere in RkR^{k} has volume (see Example 18.5)

Vk=πk/2Γ((k/2)+1).(18.19) V_{k}=\frac{\pi ^{k / 2}}{\Gamma ((k / 2)+1)}. \tag {18.19}

References

[Dem97] Demidovich B.P. Сборник задач и упражнений по математическому анализу. 13-е изд., Издательство Московского университета / Издательство "ЧеРо", 1997.
[ККЧ+03] Кудрявцев Л.Д., Кутасов А.Д., Чехлов В.И., Шабунин М.И. Функции многих переменных. 2-е изд., ФИЗМАТЛИТ, 2003.
[МГЛ+04] Макаров Б.М., Голузина М.Г., Лодкин А.А., Подкорытов А.Н. Избранные задачи по вещественному анализу. 2-е изд., Невский Диалект; БХВ-Петербург, 2004.
[Bil95] Billingsley P. Probability and Measure. 3rd ed., Wiley-Interscience, 1995.