京都大学 情報学研究科 知能情報学専攻 2025年8月実施 情報学基礎 F1-2
Author
祭音Myyura
Description
In the questions below, R \mathbb{R} R is the set of all real numbers and e e e denotes Napier's constant (the base of the natural logarithm function).
Q.1
Consider the real-valued function f ( x , y , z ) = x y z f(x, y, z) = xyz f ( x , y , z ) = x yz defined on R 3 \mathbb{R}^3 R 3 . Derive the maximum and minimum values of f ( x , y , z ) f(x, y, z) f ( x , y , z ) subject to the constraint that
g ( x , y , z ) = x 2 + y 2 + z 2 − 12 = 0 g(x, y, z) = x^2 + y^2 + z^2 - 12 = 0 g ( x , y , z ) = x 2 + y 2 + z 2 − 12 = 0 . Derivations must be clearly shown.
Q.2
Answer the following questions about the real-valued functions f ( x ) = x sin ( a x ) f(x) = x \sin(ax) f ( x ) = x sin ( a x ) and g ( x ) = sin ( a x ) g(x) = \sin(ax) g ( x ) = sin ( a x ) . Let a a a be a non-zero real number and n n n be an integer greater than 0 0 0 . Here, f ( n ) ( x ) f^{(n)}(x) f ( n ) ( x ) and g ( n ) ( x ) g^{(n)}(x) g ( n ) ( x ) denote the n n n -th derivatives of f ( x ) f(x) f ( x ) and g ( x ) g(x) g ( x ) , respectively.
(1) Derive f ( 1 ) ( x ) f^{(1)}(x) f ( 1 ) ( x ) and f ( 2 ) ( x ) f^{(2)}(x) f ( 2 ) ( x ) .
(2) Derive g ( n ) ( x ) g^{(n)}(x) g ( n ) ( x ) .
(3) Derive f ( n ) ( x ) f^{(n)}(x) f ( n ) ( x ) .
Q.3
Answer the following questions. Derivations must be clearly shown.
(1) Find the following limit, if it exists. If the limit does not exist, prove it.
lim ( x , y ) → ( 0 , 0 ) x + y x 2 + y 2 \lim_{(x,y)\to(0,0)} \frac{x + y}{\sqrt{x^2 + y^2}} ( x , y ) → ( 0 , 0 ) lim x 2 + y 2 x + y
(2) Determine the set of x ∈ R x \in \mathbb{R} x ∈ R for which the following series of functions converges.
∑ n = 1 ∞ e n x 2 n 4 + 4 − n 4 + 1 \sum_{n=1}^{\infty} \frac{e^{nx}}{\sqrt{2n^4 + 4} - \sqrt{n^4 + 1}} n = 1 ∑ ∞ 2 n 4 + 4 − n 4 + 1 e n x
题目描述
以下 R \mathbb R R 表示实数集,e e e 表示自然对数的底。
考虑定义在 R 3 \mathbb R^3 R 3 上的实值函数
f ( x , y , z ) = x y z . f(x,y,z)=xyz. f ( x , y , z ) = x yz .
在约束
g ( x , y , z ) = x 2 + y 2 + z 2 − 12 = 0 g(x,y,z)=x^2+y^2+z^2-12=0 g ( x , y , z ) = x 2 + y 2 + z 2 − 12 = 0
下求 f ( x , y , z ) f(x,y,z) f ( x , y , z ) 的最大值与最小值,并清楚写出推导过程。
对实值函数 f ( x ) = x sin ( a x ) f(x)=x\sin(ax) f ( x ) = x sin ( a x ) 与 g ( x ) = sin ( a x ) g(x)=\sin(ax) g ( x ) = sin ( a x ) 回答下列问题。其中 a a a 为非零实数,n n n 为正整数,f ( n ) ( x ) f^{(n)}(x) f ( n ) ( x ) 与 g ( n ) ( x ) g^{(n)}(x) g ( n ) ( x ) 分别表示 n n n 阶导数。
(1)求 f ( 1 ) ( x ) f^{(1)}(x) f ( 1 ) ( x ) 与 f ( 2 ) ( x ) f^{(2)}(x) f ( 2 ) ( x ) 。
(2)求 g ( n ) ( x ) g^{(n)}(x) g ( n ) ( x ) 。
(3)求 f ( n ) ( x ) f^{(n)}(x) f ( n ) ( x ) 。
回答下列问题,并清楚写出推导过程。
(1)求极限
lim ( x , y ) → ( 0 , 0 ) x + y x 2 + y 2 . \lim_{(x,y)\to(0,0)}\frac{x+y}{\sqrt{x^2+y^2}}. ( x , y ) → ( 0 , 0 ) lim x 2 + y 2 x + y .
若极限不存在,则证明其不存在。
(2)确定使函数项级数
∑ n = 1 ∞ e n x 2 n 4 + 4 − n 4 + 1 \sum_{n=1}^{\infty}
\frac{e^{nx}}
{\sqrt{2n^4+4}-\sqrt{n^4+1}} n = 1 ∑ ∞ 2 n 4 + 4 − n 4 + 1 e n x
收敛的所有 x ∈ R x\in\mathbb R x ∈ R 。
约束极值 :使用 Lagrange 乘数法求球面上三元乘积的全局最大值与最小值。
高阶导数 :结合三角函数导数周期与 Leibniz 公式推导 x sin ( a x ) x\sin(ax) x sin ( a x ) 的一般阶导数。
二元函数极限 :沿不同趋近路径检验多元极限是否存在。
无穷级数收敛性 :分析一般项的渐近阶,并用根值或比值判别法确定参数范围。
Kai
Q.1
Let
f ( x , y , z ) = x y z , g ( x , y , z ) = x 2 + y 2 + z 2 − 12. f(x,y,z)=xyz,
\qquad
g(x,y,z)=x^2+y^2+z^2-12. f ( x , y , z ) = x yz , g ( x , y , z ) = x 2 + y 2 + z 2 − 12.
Since the constraint set is compact, f f f attains both a maximum and a minimum.
Using Lagrange multipliers,
∇ f = λ ∇ g , \nabla f=\lambda \nabla g, ∇ f = λ ∇ g ,
so
y z = 2 λ x , x z = 2 λ y , x y = 2 λ z . yz=2\lambda x,\qquad
xz=2\lambda y,\qquad
xy=2\lambda z. yz = 2 λ x , x z = 2 λ y , x y = 2 λ z .
If x y z ≠ 0 xyz\neq 0 x yz = 0 , multiplying these equations by x , y , z x,y,z x , y , z , respectively, gives
x 2 = y 2 = z 2 . x^2=y^2=z^2. x 2 = y 2 = z 2 .
Together with
x 2 + y 2 + z 2 = 12 , x^2+y^2+z^2=12, x 2 + y 2 + z 2 = 12 ,
we obtain
x 2 = y 2 = z 2 = 4. x^2=y^2=z^2=4. x 2 = y 2 = z 2 = 4.
Thus x , y , z ∈ { ± 2 } x,y,z\in\{\pm2\} x , y , z ∈ { ± 2 } , and hence
Points with one or more zero coordinates give f = 0 f=0 f = 0 , so they are not global extrema.
Therefore,
max f = 8 \boxed{\max f=8} max f = 8
at
( 2 , 2 , 2 ) , ( 2 , − 2 , − 2 ) , ( − 2 , 2 , − 2 ) , ( − 2 , − 2 , 2 ) , (2,2,2),\quad
(2,-2,-2),\quad
(-2,2,-2),\quad
(-2,-2,2), ( 2 , 2 , 2 ) , ( 2 , − 2 , − 2 ) , ( − 2 , 2 , − 2 ) , ( − 2 , − 2 , 2 ) ,
and
min f = − 8 \boxed{\min f=-8} min f = − 8
at the remaining four points with coordinates ± 2 \pm2 ± 2 .
Q.2
Let
f ( x ) = x sin ( a x ) , g ( x ) = sin ( a x ) , a ≠ 0. f(x)=x\sin(ax),
\qquad
g(x)=\sin(ax),
\qquad a\neq0. f ( x ) = x sin ( a x ) , g ( x ) = sin ( a x ) , a = 0.
(1)
By direct differentiation,
f ′ ( x ) = sin ( a x ) + a x cos ( a x ) \boxed{
f'(x)=\sin(ax)+ax\cos(ax)
} f ′ ( x ) = sin ( a x ) + a x cos ( a x )
and
f ′ ′ ( x ) = 2 a cos ( a x ) − a 2 x sin ( a x ) . \boxed{
f''(x)=2a\cos(ax)-a^2x\sin(ax)
}. f ′′ ( x ) = 2 a cos ( a x ) − a 2 x sin ( a x ) .
(2)
The derivatives of sin ( a x ) \sin(ax) sin ( a x ) repeat with period four. Hence
g ( n ) ( x ) = a n sin ( a x + n π 2 ) . \boxed{
g^{(n)}(x)
=
a^n\sin\left(ax+\frac{n\pi}{2}\right)
}. g ( n ) ( x ) = a n sin ( a x + 2 nπ ) .
(3)
Using Leibniz's rule and the fact that derivatives of x x x of order at least two vanish,
f ( n ) ( x ) = x g ( n ) ( x ) + n g ( n − 1 ) ( x ) . f^{(n)}(x)
=
xg^{(n)}(x)+n g^{(n-1)}(x). f ( n ) ( x ) = x g ( n ) ( x ) + n g ( n − 1 ) ( x ) .
Therefore,
f ( n ) ( x ) = a n x sin ( a x + n π 2 ) + n a n − 1 sin ( a x + ( n − 1 ) π 2 ) . \boxed{
f^{(n)}(x)
=
a^n x\sin\left(ax+\frac{n\pi}{2}\right)
+
na^{n-1}\sin\left(ax+\frac{(n-1)\pi}{2}\right)
}. f ( n ) ( x ) = a n x sin ( a x + 2 nπ ) + n a n − 1 sin ( a x + 2 ( n − 1 ) π ) .
Q.3
(1)
Consider the path y = 0 y=0 y = 0 . Then
x + y x 2 + y 2 = x ∣ x ∣ . \frac{x+y}{\sqrt{x^2+y^2}}
=
\frac{x}{|x|}. x 2 + y 2 x + y = ∣ x ∣ x .
As x → 0 + x\to0^+ x → 0 + ,
x ∣ x ∣ → 1 , \frac{x}{|x|}\to1, ∣ x ∣ x → 1 ,
whereas as x → 0 − x\to0^- x → 0 − ,
x ∣ x ∣ → − 1. \frac{x}{|x|}\to-1. ∣ x ∣ x → − 1.
Since the two values are different, the limit does not exist:
lim ( x , y ) → ( 0 , 0 ) x + y x 2 + y 2 does not exist . \boxed{
\lim_{(x,y)\to(0,0)}
\frac{x+y}{\sqrt{x^2+y^2}}
\text{ does not exist}
}. ( x , y ) → ( 0 , 0 ) lim x 2 + y 2 x + y does not exist .
(2)
Consider
∑ n = 1 ∞ e n x 2 n 4 + 4 − n 4 + 1 . \sum_{n=1}^{\infty}
\frac{e^{nx}}
{\sqrt{2n^4+4}-\sqrt{n^4+1}}. n = 1 ∑ ∞ 2 n 4 + 4 − n 4 + 1 e n x .
Let
d n = 2 n 4 + 4 − n 4 + 1 . d_n=\sqrt{2n^4+4}-\sqrt{n^4+1}. d n = 2 n 4 + 4 − n 4 + 1 .
Then
d n n 2 = 2 + 4 n 4 − 1 + 1 n 4 ⟶ 2 − 1. \frac{d_n}{n^2}
=
\sqrt{2+\frac{4}{n^4}}
-
\sqrt{1+\frac{1}{n^4}}
\longrightarrow
\sqrt2-1. n 2 d n = 2 + n 4 4 − 1 + n 4 1 ⟶ 2 − 1.
Hence
d n ∼ ( 2 − 1 ) n 2 . d_n\sim(\sqrt2-1)n^2. d n ∼ ( 2 − 1 ) n 2 .
If x < 0 x<0 x < 0 , the root test gives
lim n → ∞ e n x d n n = e x < 1 , \lim_{n\to\infty}
\sqrt[n]{
\frac{e^{nx}}{d_n}
}
=e^x<1, n → ∞ lim n d n e n x = e x < 1 ,
so the series converges.
1 d n ∼ 2 + 1 n 2 , \frac{1}{d_n}
\sim
\frac{\sqrt2+1}{n^2}, d n 1 ∼ n 2 2 + 1 ,
so the series converges by comparison with ∑ 1 / n 2 \sum 1/n^2 ∑ 1/ n 2 .
e n x d n ∼ ( 2 + 1 ) e n x n 2 , \frac{e^{nx}}{d_n}
\sim
(\sqrt2+1)\frac{e^{nx}}{n^2}, d n e n x ∼ ( 2 + 1 ) n 2 e n x ,
which does not tend to zero. Therefore, the series diverges.
Thus the set of convergence is
( − ∞ , 0 ] . \boxed{(-\infty,0]}. ( − ∞ , 0 ] .