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受欢迎的三角函数 >

cos^2(x)+sin^3(x)=0

解答

cos^{2} (x) + sin^{3} (x) = 0

解答

x = - 0.85546 \dots + 2 πn, x = π + 0.85546 \dots + 2 πn

+1

度数

x = - 49.01468 \dots^{\circ} + 36 0^{\circ} n, x = 229.01468 \dots^{\circ} + 36 0^{\circ} n

求解步骤

cos^{2} (x) + sin^{3} (x) = 0

使用三角恒等式改写

cos^{2} (x) + sin^{3} (x)

使用毕达哥拉斯恒等式:

cos^{2} (x) + sin^{2} (x) = 1

cos^{2} (x) = 1 - sin^{2} (x)

= 1 - sin^{2} (x) + sin^{3} (x)

1 - sin^{2} (x) + sin^{3} (x) = 0

用替代法求解

1 - sin^{2} (x) + sin^{3} (x) = 0

令

: sin (x) = u

1 - u^{2} + u^{3} = 0

1 - u^{2} + u^{3} = 0 : u \approx - 0.75487 \dots

1 - u^{2} + u^{3} = 0

改写成标准形式

a_{n} x^{n} + \dots + a_{1} x + a_{0} = 0

u^{3} - u^{2} + 1 = 0

使用牛顿-拉弗森方法找到

u^{3} - u^{2} + 1 = 0

的一个解:

u \approx - 0.75487 \dots

u^{3} - u^{2} + 1 = 0

牛顿-拉弗森近似法定义

f (u) = u^{3} - u^{2} + 1

找到

f^{^{'}} (u) : 3 u^{2} - 2 u

\frac{d}{d u} (u^{3} - u^{2} + 1)

使用微分加减法定则:

(f \pm g)^{'} = f^{'} \pm g^{'}

= \frac{d}{d u} (u^{3}) - \frac{d}{d u} (u^{2}) + \frac{d}{d u} (1)

\frac{d}{d u} (u^{3}) = 3 u^{2}

\frac{d}{d u} (u^{3})

使用幂法则:

\frac{d}{d x} (x^{a}) = a \cdot x^{a - 1}

= 3 u^{3 - 1}

化简

= 3 u^{2}

\frac{d}{d u} (u^{2}) = 2 u

\frac{d}{d u} (u^{2})

使用幂法则:

\frac{d}{d x} (x^{a}) = a \cdot x^{a - 1}

= 2 u^{2 - 1}

化简

= 2 u

\frac{d}{d u} (1) = 0

\frac{d}{d u} (1)

常数微分:

\frac{d}{d x} (a) = 0

= 0

= 3 u^{2} - 2 u + 0

化简

= 3 u^{2} - 2 u

令

u_{0} = - 1

计算

u_{n + 1}

至

Δ u_{n + 1} < 0.000001

u_{1} = - 0.8 : Δ u_{1} = 0.2

f (u_{0}) = (- 1)^{3} - (- 1)^{2} + 1 = - 1

f^{^{'}} (u_{0}) = 3 (- 1)^{2} - 2 (- 1) = 5

u_{1} = - 0.8

Δ u_{1} = ∣ - 0.8 - (- 1) ∣ = 0.2

Δ u_{1} = 0.2

u_{2} = - 0.75681 \dots : Δ u_{2} = 0.04318 \dots

f (u_{1}) = (- 0.8)^{3} - (- 0.8)^{2} + 1 = - 0.152

f^{^{'}} (u_{1}) = 3 (- 0.8)^{2} - 2 (- 0.8) = 3.52

u_{2} = - 0.75681 \dots

Δ u_{2} = ∣ - 0.75681 \dots - (- 0.8) ∣ = 0.04318 \dots

Δ u_{2} = 0.04318 \dots

u_{3} = - 0.75488 \dots : Δ u_{3} = 0.00193 \dots

f (u_{2}) = (- 0.75681 \dots)^{3} - (- 0.75681 \dots)^{2} + 1 = - 0.00625 \dots

f^{^{'}} (u_{2}) = 3 (- 0.75681 \dots)^{2} - 2 (- 0.75681 \dots) = 3.23195 \dots

u_{3} = - 0.75488 \dots

Δ u_{3} = ∣ - 0.75488 \dots - (- 0.75681 \dots) ∣ = 0.00193 \dots

Δ u_{3} = 0.00193 \dots

u_{4} = - 0.75487 \dots : Δ u_{4} = 3.80818 E - 6

f (u_{3}) = (- 0.75488 \dots)^{3} - (- 0.75488 \dots)^{2} + 1 = - 0.00001 \dots

f^{^{'}} (u_{3}) = 3 (- 0.75488 \dots)^{2} - 2 (- 0.75488 \dots) = 3.21930 \dots

u_{4} = - 0.75487 \dots

Δ u_{4} = ∣ - 0.75487 \dots - (- 0.75488 \dots) ∣ = 3.80818 E - 6

Δ u_{4} = 3.80818 E - 6

u_{5} = - 0.75487 \dots : Δ u_{5} = 1.47065 E - 11

f (u_{4}) = (- 0.75487 \dots)^{3} - (- 0.75487 \dots)^{2} + 1 = - 4.73444 E - 11

f^{^{'}} (u_{4}) = 3 (- 0.75487 \dots)^{2} - 2 (- 0.75487 \dots) = 3.21927 \dots

u_{5} = - 0.75487 \dots

Δ u_{5} = ∣ - 0.75487 \dots - (- 0.75487 \dots) ∣ = 1.47065 E - 11

Δ u_{5} = 1.47065 E - 11

u \approx - 0.75487 \dots

使用长除法

Eq u a t i o n 0 : \frac{u ^{3} - u ^{2} + 1}{u + 0.75487 \dots} = u^{2} - 1.75487 \dots u + 1.32471 \dots

u^{2} - 1.75487 \dots u + 1.32471 \dots \approx 0

使用牛顿-拉弗森方法找到

u^{2} - 1.75487 \dots u + 1.32471 \dots = 0

的一个解:

u \in R

无解

u^{2} - 1.75487 \dots u + 1.32471 \dots = 0

牛顿-拉弗森近似法定义

f (u) = u^{2} - 1.75487 \dots u + 1.32471 \dots

找到

f^{^{'}} (u) : 2 u - 1.75487 \dots

\frac{d}{d u} (u^{2} - 1.75487 \dots u + 1.32471 \dots)

使用微分加减法定则:

(f \pm g)^{'} = f^{'} \pm g^{'}

= \frac{d}{d u} (u^{2}) - \frac{d}{d u} (1.75487 \dots u) + \frac{d}{d u} (1.32471 \dots)

\frac{d}{d u} (u^{2}) = 2 u

\frac{d}{d u} (u^{2})

使用幂法则:

\frac{d}{d x} (x^{a}) = a \cdot x^{a - 1}

= 2 u^{2 - 1}

化简

= 2 u

\frac{d}{d u} (1.75487 \dots u) = 1.75487 \dots

\frac{d}{d u} (1.75487 \dots u)

将常数提出:

(a \cdot f)^{'} = a \cdot f^{'}

= 1.75487 \dots \frac{d u}{d u}

使用常见微分定则:

\frac{d u}{d u} = 1

= 1.75487 \dots \cdot 1

化简

= 1.75487 \dots

\frac{d}{d u} (1.32471 \dots) = 0

\frac{d}{d u} (1.32471 \dots)

常数微分:

\frac{d}{d x} (a) = 0

= 0

= 2 u - 1.75487 \dots + 0

化简

= 2 u - 1.75487 \dots

令

u_{0} = 1

计算

u_{n + 1}

至

Δ u_{n + 1} < 0.000001

u_{1} = - 1.32471 \dots : Δ u_{1} = 2.32471 \dots

f (u_{0}) = 1^{2} - 1.75487 \dots \cdot 1 + 1.32471 \dots = 0.56984 \dots

f^{^{'}} (u_{0}) = 2 \cdot 1 - 1.75487 \dots = 0.24512 \dots

u_{1} = - 1.32471 \dots

Δ u_{1} = ∣ - 1.32471 \dots - 1 ∣ = 2.32471 \dots

Δ u_{1} = 2.32471 \dots

u_{2} = - 0.09766 \dots : Δ u_{2} = 1.22705 \dots

f (u_{1}) = (- 1.32471 \dots)^{2} - 1.75487 \dots (- 1.32471 \dots) + 1.32471 \dots = 5.40431 \dots

f^{^{'}} (u_{1}) = 2 (- 1.32471 \dots) - 1.75487 \dots = - 4.40431 \dots

u_{2} = - 0.09766 \dots

Δ u_{2} = ∣ - 0.09766 \dots - (- 1.32471 \dots) ∣ = 1.22705 \dots

Δ u_{2} = 1.22705 \dots

u_{3} = 0.67437 \dots : Δ u_{3} = 0.77204 \dots

f (u_{2}) = (- 0.09766 \dots)^{2} - 1.75487 \dots (- 0.09766 \dots) + 1.32471 \dots = 1.50565 \dots

f^{^{'}} (u_{2}) = 2 (- 0.09766 \dots) - 1.75487 \dots = - 1.95021 \dots

u_{3} = 0.67437 \dots

Δ u_{3} = ∣ 0.67437 \dots - (- 0.09766 \dots) ∣ = 0.77204 \dots

Δ u_{3} = 0.77204 \dots

u_{4} = 2.14204 \dots : Δ u_{4} = 1.46766 \dots

f (u_{3}) = 0.67437 \dots^{2} - 1.75487 \dots \cdot 0.67437 \dots + 1.32471 \dots = 0.59605 \dots

f^{^{'}} (u_{3}) = 2 \cdot 0.67437 \dots - 1.75487 \dots = - 0.40612 \dots

u_{4} = 2.14204 \dots

Δ u_{4} = ∣ 2.14204 \dots - 0.67437 \dots ∣ = 1.46766 \dots

Δ u_{4} = 1.46766 \dots

u_{5} = 1.29037 \dots : Δ u_{5} = 0.85166 \dots

f (u_{4}) = 2.14204 \dots^{2} - 1.75487 \dots \cdot 2.14204 \dots + 1.32471 \dots = 2.15403 \dots

f^{^{'}} (u_{4}) = 2 \cdot 2.14204 \dots - 1.75487 \dots = 2.52920 \dots

u_{5} = 1.29037 \dots

Δ u_{5} = ∣ 1.29037 \dots - 2.14204 \dots ∣ = 0.85166 \dots

Δ u_{5} = 0.85166 \dots

u_{6} = 0.41210 \dots : Δ u_{6} = 0.87826 \dots

f (u_{5}) = 1.29037 \dots^{2} - 1.75487 \dots \cdot 1.29037 \dots + 1.32471 \dots = 0.72533 \dots

f^{^{'}} (u_{5}) = 2 \cdot 1.29037 \dots - 1.75487 \dots = 0.82587 \dots

u_{6} = 0.41210 \dots

Δ u_{6} = ∣ 0.41210 \dots - 1.29037 \dots ∣ = 0.87826 \dots

Δ u_{6} = 0.87826 \dots

u_{7} = 1.24093 \dots : Δ u_{7} = 0.82882 \dots

f (u_{6}) = 0.41210 \dots^{2} - 1.75487 \dots \cdot 0.41210 \dots + 1.32471 \dots = 0.77135 \dots

f^{^{'}} (u_{6}) = 2 \cdot 0.41210 \dots - 1.75487 \dots = - 0.93065 \dots

u_{7} = 1.24093 \dots

Δ u_{7} = ∣ 1.24093 \dots - 0.41210 \dots ∣ = 0.82882 \dots

Δ u_{7} = 0.82882 \dots

u_{8} = 0.29600 \dots : Δ u_{8} = 0.94492 \dots

f (u_{7}) = 1.24093 \dots^{2} - 1.75487 \dots \cdot 1.24093 \dots + 1.32471 \dots = 0.68694 \dots

f^{^{'}} (u_{7}) = 2 \cdot 1.24093 \dots - 1.75487 \dots = 0.72698 \dots

u_{8} = 0.29600 \dots

Δ u_{8} = ∣ 0.29600 \dots - 1.24093 \dots ∣ = 0.94492 \dots

Δ u_{8} = 0.94492 \dots

u_{9} = 1.06383 \dots : Δ u_{9} = 0.76782 \dots

f (u_{8}) = 0.29600 \dots^{2} - 1.75487 \dots \cdot 0.29600 \dots + 1.32471 \dots = 0.89288 \dots

f^{^{'}} (u_{8}) = 2 \cdot 0.29600 \dots - 1.75487 \dots = - 1.16286 \dots

u_{9} = 1.06383 \dots

Δ u_{9} = ∣ 1.06383 \dots - 0.29600 \dots ∣ = 0.76782 \dots

Δ u_{9} = 0.76782 \dots

u_{10} = - 0.51763 \dots : Δ u_{10} = 1.58147 \dots

f (u_{9}) = 1.06383 \dots^{2} - 1.75487 \dots \cdot 1.06383 \dots + 1.32471 \dots = 0.58956 \dots

f^{^{'}} (u_{9}) = 2 \cdot 1.06383 \dots - 1.75487 \dots = 0.37279 \dots

u_{10} = - 0.51763 \dots

Δ u_{10} = ∣ - 0.51763 \dots - 1.06383 \dots ∣ = 1.58147 \dots

Δ u_{10} = 1.58147 \dots

无法得出解

解是

u \approx - 0.75487 \dots

u = sin (x)

代回

sin (x) \approx - 0.75487 \dots

sin (x) \approx - 0.75487 \dots

sin (x) = - 0.75487 \dots : x = arcsin (- 0.75487 \dots) + 2 πn, x = π + arcsin (0.75487 \dots) + 2 πn

sin (x) = - 0.75487 \dots

使用反三角函数性质

sin (x) = - 0.75487 \dots

sin (x) = - 0.75487 \dots

的通解

sin (x) = - a \Rightarrow x = arcsin (- a) + 2 πn, x = π + arcsin (a) + 2 πn

x = arcsin (- 0.75487 \dots) + 2 πn, x = π + arcsin (0.75487 \dots) + 2 πn

x = arcsin (- 0.75487 \dots) + 2 πn, x = π + arcsin (0.75487 \dots) + 2 πn

合并所有解

x = arcsin (- 0.75487 \dots) + 2 πn, x = π + arcsin (0.75487 \dots) + 2 πn

以小数形式表示解

x = - 0.85546 \dots + 2 πn, x = π + 0.85546 \dots + 2 πn

作图

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