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受欢迎的三角函数 >

sin^2(x)=sec(x)

解答

sin^{2} (x) = sec (x)

解答

x \in R 无解

求解步骤

sin^{2} (x) = sec (x)

两边进行平方

(sin^{2} (x))^{2} = sec^{2} (x)

两边减去

sec^{2} (x)

sin^{4} (x) - sec^{2} (x) = 0

用 sin, cos 表示

- sec^{2} (x) + sin^{4} (x)

使用基本三角恒等式:

sec (x) = \frac{1}{cos ( x )}

= - (\frac{1}{cos ( x )})^{2} + sin^{4} (x)

化简

- (\frac{1}{cos ( x )})^{2} + sin^{4} (x) : \frac{- 1 + sin ^{4} ( x ) cos ^{2} ( x )}{cos ^{2} ( x )}

- (\frac{1}{cos ( x )})^{2} + sin^{4} (x)

(\frac{1}{cos ( x )})^{2} = \frac{1}{cos ^{2} ( x )}

(\frac{1}{cos ( x )})^{2}

使用指数法则:

(\frac{a}{b})^{c} = \frac{a ^{c}}{b ^{c}}

= \frac{1 ^{2}}{cos ^{2} ( x )}

使用法则

1^{a} = 1

1^{2} = 1

= \frac{1}{cos ^{2} ( x )}

= - \frac{1}{cos ^{2} ( x )} + sin^{4} (x)

将项转换为分式:

sin^{4} (x) = \frac{sin ^{4} ( x ) cos ^{2} ( x )}{cos ^{2} ( x )}

= - \frac{1}{cos ^{2} ( x )} + \frac{sin ^{4} ( x ) cos ^{2} ( x )}{cos ^{2} ( x )}

因为分母相等，所以合并分式:

\frac{a}{c} \pm \frac{b}{c} = \frac{a \pm b}{c}

= \frac{- 1 + sin ^{4} ( x ) cos ^{2} ( x )}{cos ^{2} ( x )}

= \frac{- 1 + sin ^{4} ( x ) cos ^{2} ( x )}{cos ^{2} ( x )}

\frac{- 1 + cos ^{2} ( x ) sin ^{4} ( x )}{cos ^{2} ( x )} = 0

\frac{f ( x )}{g ( x )} = 0 \Rightarrow f (x) = 0

- 1 + cos^{2} (x) sin^{4} (x) = 0

分解

- 1 + cos^{2} (x) sin^{4} (x) : (sin^{2} (x) cos (x) + 1) (sin^{2} (x) cos (x) - 1)

- 1 + cos^{2} (x) sin^{4} (x)

将

- 1 + sin^{4} (x) cos^{2} (x)

改写为

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

- 1 + sin^{4} (x) cos^{2} (x)

使用指数法则:

a^{b c} = (a^{b})^{c}

sin^{4} (x) = (sin^{2} (x))^{2}

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

使用指数法则:

a^{m} b^{m} = (ab)^{m}

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

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

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

使用平方差公式:

x^{2} - y^{2} = (x + y) (x - y)

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

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

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

分别求解每个部分

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

sin^{2} (x) cos (x) + 1 = 0 :

无解

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

使用三角恒等式改写

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

使用毕达哥拉斯恒等式:

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

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

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

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

用替代法求解

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

令

: cos (x) = u

1 + (1 - u^{2}) u = 0

1 + (1 - u^{2}) u = 0 : u \approx 1.32471 \dots

1 + (1 - u^{2}) u = 0

展开

1 + (1 - u^{2}) u : 1 + u - u^{3}

1 + (1 - u^{2}) u

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

乘开

u (1 - u^{2}) : u - u^{3}

u (1 - u^{2})

使用分配律:

a (b - c) = ab - a c

a = u, b = 1, c = u^{2}

= u \cdot 1 - u u^{2}

= 1 \cdot u - u^{2} u

化简

1 \cdot u - u^{2} u : u - u^{3}

1 \cdot u - u^{2} u

1 \cdot u = u

1 \cdot u

乘以:

1 \cdot u = u

= u

u^{2} u = u^{3}

u^{2} u

使用指数法则:

a^{b} \cdot a^{c} = a^{b + c}

u^{2} u = u^{2 + 1}

= u^{2 + 1}

数字相加:

2 + 1 = 3

= u^{3}

= u - u^{3}

= u - u^{3}

= 1 + u - u^{3}

1 + u - u^{3} = 0

改写成标准形式

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

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

使用牛顿-拉弗森方法找到

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

的一个解:

u \approx 1.32471 \dots

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

牛顿-拉弗森近似法定义

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

找到

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

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

使用微分加减法定则:

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

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

\frac{d u}{d u}

使用常见微分定则:

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

= 1

\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} + 1 + 0

化简

= - 3 u^{2} + 1

令

u_{0} = 1

计算

u_{n + 1}

至

Δ u_{n + 1} < 0.000001

u_{1} = 1.5 : Δ u_{1} = 0.5

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

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

u_{1} = 1.5

Δ u_{1} = ∣ 1.5 - 1 ∣ = 0.5

Δ u_{1} = 0.5

u_{2} = 1.34782 \dots : Δ u_{2} = 0.15217 \dots

f (u_{1}) = - 1. 5^{3} + 1.5 + 1 = - 0.875

f^{^{'}} (u_{1}) = - 3 \cdot 1. 5^{2} + 1 = - 5.75

u_{2} = 1.34782 \dots

Δ u_{2} = ∣ 1.34782 \dots - 1.5 ∣ = 0.15217 \dots

Δ u_{2} = 0.15217 \dots

u_{3} = 1.32520 \dots : Δ u_{3} = 0.02262 \dots

f (u_{2}) = - 1.34782 \dots^{3} + 1.34782 \dots + 1 = - 0.10068 \dots

f^{^{'}} (u_{2}) = - 3 \cdot 1.34782 \dots^{2} + 1 = - 4.44990 \dots

u_{3} = 1.32520 \dots

Δ u_{3} = ∣ 1.32520 \dots - 1.34782 \dots ∣ = 0.02262 \dots

Δ u_{3} = 0.02262 \dots

u_{4} = 1.32471 \dots : Δ u_{4} = 0.00048 \dots

f (u_{3}) = - 1.32520 \dots^{3} + 1.32520 \dots + 1 = - 0.00205 \dots

f^{^{'}} (u_{3}) = - 3 \cdot 1.32520 \dots^{2} + 1 = - 4.26846 \dots

u_{4} = 1.32471 \dots

Δ u_{4} = ∣ 1.32471 \dots - 1.32520 \dots ∣ = 0.00048 \dots

Δ u_{4} = 0.00048 \dots

u_{5} = 1.32471 \dots : Δ u_{5} = 2.16754 E - 7

f (u_{4}) = - 1.32471 \dots^{3} + 1.32471 \dots + 1 = - 9.24378 E - 7

f^{^{'}} (u_{4}) = - 3 \cdot 1.32471 \dots^{2} + 1 = - 4.26463 \dots

u_{5} = 1.32471 \dots

Δ u_{5} = ∣ 1.32471 \dots - 1.32471 \dots ∣ = 2.16754 E - 7

Δ u_{5} = 2.16754 E - 7

u \approx 1.32471 \dots

使用长除法

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

- u^{2} - 1.32471 \dots u - 0.75487 \dots \approx 0

使用牛顿-拉弗森方法找到

- u^{2} - 1.32471 \dots u - 0.75487 \dots = 0

的一个解:

u \in R

无解

- u^{2} - 1.32471 \dots u - 0.75487 \dots = 0

牛顿-拉弗森近似法定义

f (u) = - u^{2} - 1.32471 \dots u - 0.75487 \dots

找到

f^{^{'}} (u) : - 2 u - 1.32471 \dots

\frac{d}{d u} (- u^{2} - 1.32471 \dots u - 0.75487 \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} (1.32471 \dots u) - \frac{d}{d u} (0.75487 \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} (1.32471 \dots u) = 1.32471 \dots

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

将常数提出:

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

= 1.32471 \dots \frac{d u}{d u}

使用常见微分定则:

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

= 1.32471 \dots \cdot 1

化简

= 1.32471 \dots

\frac{d}{d u} (0.75487 \dots) = 0

\frac{d}{d u} (0.75487 \dots)

常数微分:

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

= 0

= - 2 u - 1.32471 \dots - 0

化简

= - 2 u - 1.32471 \dots

令

u_{0} = - 1

计算

u_{n + 1}

至

Δ u_{n + 1} < 0.000001

u_{1} = - 0.36299 \dots : Δ u_{1} = 0.63700 \dots

f (u_{0}) = - (- 1)^{2} - 1.32471 \dots (- 1) - 0.75487 \dots = - 0.43015 \dots

f^{^{'}} (u_{0}) = - 2 (- 1) - 1.32471 \dots = 0.67528 \dots

u_{1} = - 0.36299 \dots

Δ u_{1} = ∣ - 0.36299 \dots - (- 1) ∣ = 0.63700 \dots

Δ u_{1} = 0.63700 \dots

u_{2} = - 1.04072 \dots : Δ u_{2} = 0.67772 \dots

f (u_{1}) = - (- 0.36299 \dots)^{2} - 1.32471 \dots (- 0.36299 \dots) - 0.75487 \dots = - 0.40577 \dots

f^{^{'}} (u_{1}) = - 2 (- 0.36299 \dots) - 1.32471 \dots = - 0.59873 \dots

u_{2} = - 1.04072 \dots

Δ u_{2} = ∣ - 1.04072 \dots - (- 0.36299 \dots) ∣ = 0.67772 \dots

Δ u_{2} = 0.67772 \dots

u_{3} = - 0.43374 \dots : Δ u_{3} = 0.60697 \dots

f (u_{2}) = - (- 1.04072 \dots)^{2} - 1.32471 \dots (- 1.04072 \dots) - 0.75487 \dots = - 0.45931 \dots

f^{^{'}} (u_{2}) = - 2 (- 1.04072 \dots) - 1.32471 \dots = 0.75672 \dots

u_{3} = - 0.43374 \dots

Δ u_{3} = ∣ - 0.43374 \dots - (- 1.04072 \dots) ∣ = 0.60697 \dots

Δ u_{3} = 0.60697 \dots

u_{4} = - 1.23950 \dots : Δ u_{4} = 0.80576 \dots

f (u_{3}) = - (- 0.43374 \dots)^{2} - 1.32471 \dots (- 0.43374 \dots) - 0.75487 \dots = - 0.36842 \dots

f^{^{'}} (u_{3}) = - 2 (- 0.43374 \dots) - 1.32471 \dots = - 0.45723 \dots

u_{4} = - 1.23950 \dots

Δ u_{4} = ∣ - 1.23950 \dots - (- 0.43374 \dots) ∣ = 0.80576 \dots

Δ u_{4} = 0.80576 \dots

u_{5} = - 0.67703 \dots : Δ u_{5} = 0.56247 \dots

f (u_{4}) = - (- 1.23950 \dots)^{2} - 1.32471 \dots (- 1.23950 \dots) - 0.75487 \dots = - 0.64925 \dots

f^{^{'}} (u_{4}) = - 2 (- 1.23950 \dots) - 1.32471 \dots = 1.15429 \dots

u_{5} = - 0.67703 \dots

Δ u_{5} = ∣ - 0.67703 \dots - (- 1.23950 \dots) ∣ = 0.56247 \dots

Δ u_{5} = 0.56247 \dots

u_{6} = 10.09982 \dots : Δ u_{6} = 10.77686 \dots

f (u_{5}) = - (- 0.67703 \dots)^{2} - 1.32471 \dots (- 0.67703 \dots) - 0.75487 \dots = - 0.31637 \dots

f^{^{'}} (u_{5}) = - 2 (- 0.67703 \dots) - 1.32471 \dots = 0.02935 \dots

u_{6} = 10.09982 \dots

Δ u_{6} = ∣ 10.09982 \dots - (- 0.67703 \dots) ∣ = 10.77686 \dots

Δ u_{6} = 10.77686 \dots

u_{7} = 4.70404 \dots : Δ u_{7} = 5.39578 \dots

f (u_{6}) = - 10.09982 \dots^{2} - 1.32471 \dots \cdot 10.09982 \dots - 0.75487 \dots = - 116.14080 \dots

f^{^{'}} (u_{6}) = - 2 \cdot 10.09982 \dots - 1.32471 \dots = - 21.52437 \dots

u_{7} = 4.70404 \dots

Δ u_{7} = ∣ 4.70404 \dots - 10.09982 \dots ∣ = 5.39578 \dots

Δ u_{7} = 5.39578 \dots

u_{8} = 1.99138 \dots : Δ u_{8} = 2.71265 \dots

f (u_{7}) = - 4.70404 \dots^{2} - 1.32471 \dots \cdot 4.70404 \dots - 0.75487 \dots = - 29.11445 \dots

f^{^{'}} (u_{7}) = - 2 \cdot 4.70404 \dots - 1.32471 \dots = - 10.73280 \dots

u_{8} = 1.99138 \dots

Δ u_{8} = ∣ 1.99138 \dots - 4.70404 \dots ∣ = 2.71265 \dots

Δ u_{8} = 2.71265 \dots

u_{9} = 0.60494 \dots : Δ u_{9} = 1.38644 \dots

f (u_{8}) = - 1.99138 \dots^{2} - 1.32471 \dots \cdot 1.99138 \dots - 0.75487 \dots = - 7.35852 \dots

f^{^{'}} (u_{8}) = - 2 \cdot 1.99138 \dots - 1.32471 \dots = - 5.30749 \dots

u_{9} = 0.60494 \dots

Δ u_{9} = ∣ 0.60494 \dots - 1.99138 \dots ∣ = 1.38644 \dots

Δ u_{9} = 1.38644 \dots

u_{10} = - 0.15344 \dots : Δ u_{10} = 0.75838 \dots

f (u_{9}) = - 0.60494 \dots^{2} - 1.32471 \dots \cdot 0.60494 \dots - 0.75487 \dots = - 1.92221 \dots

f^{^{'}} (u_{9}) = - 2 \cdot 0.60494 \dots - 1.32471 \dots = - 2.53460 \dots

u_{10} = - 0.15344 \dots

Δ u_{10} = ∣ - 0.15344 \dots - 0.60494 \dots ∣ = 0.75838 \dots

Δ u_{10} = 0.75838 \dots

u_{11} = - 0.71852 \dots : Δ u_{11} = 0.56507 \dots

f (u_{10}) = - (- 0.15344 \dots)^{2} - 1.32471 \dots (- 0.15344 \dots) - 0.75487 \dots = - 0.57515 \dots

f^{^{'}} (u_{10}) = - 2 (- 0.15344 \dots) - 1.32471 \dots = - 1.01783 \dots

u_{11} = - 0.71852 \dots

Δ u_{11} = ∣ - 0.71852 \dots - (- 0.15344 \dots) ∣ = 0.56507 \dots

Δ u_{11} = 0.56507 \dots

u_{12} = 2.12427 \dots : Δ u_{12} = 2.84279 \dots

f (u_{11}) = - (- 0.71852 \dots)^{2} - 1.32471 \dots (- 0.71852 \dots) - 0.75487 \dots = - 0.31931 \dots

f^{^{'}} (u_{11}) = - 2 (- 0.71852 \dots) - 1.32471 \dots = 0.11232 \dots

u_{12} = 2.12427 \dots

Δ u_{12} = ∣ 2.12427 \dots - (- 0.71852 \dots) ∣ = 2.84279 \dots

Δ u_{12} = 2.84279 \dots

无法得出解

解是

u \approx 1.32471 \dots

u = cos (x)

代回

cos (x) \approx 1.32471 \dots

cos (x) \approx 1.32471 \dots

cos (x) = 1.32471 \dots :

无解

cos (x) = 1.32471 \dots

- 1 \leq cos (x) \leq 1

无解

合并所有解

无解

sin^{2} (x) cos (x) - 1 = 0 :

无解

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

使用三角恒等式改写

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

使用毕达哥拉斯恒等式:

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

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

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

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

用替代法求解

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

令

: cos (x) = u

- 1 + (1 - u^{2}) u = 0

- 1 + (1 - u^{2}) u = 0 : u \approx - 1.32471 \dots

- 1 + (1 - u^{2}) u = 0

展开

- 1 + (1 - u^{2}) u : - 1 + u - u^{3}

- 1 + (1 - u^{2}) u

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

乘开

u (1 - u^{2}) : u - u^{3}

u (1 - u^{2})

使用分配律:

a (b - c) = ab - a c

a = u, b = 1, c = u^{2}

= u \cdot 1 - u u^{2}

= 1 \cdot u - u^{2} u

化简

1 \cdot u - u^{2} u : u - u^{3}

1 \cdot u - u^{2} u

1 \cdot u = u

1 \cdot u

乘以:

1 \cdot u = u

= u

u^{2} u = u^{3}

u^{2} u

使用指数法则:

a^{b} \cdot a^{c} = a^{b + c}

u^{2} u = u^{2 + 1}

= u^{2 + 1}

数字相加:

2 + 1 = 3

= u^{3}

= u - u^{3}

= u - u^{3}

= - 1 + u - u^{3}

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

改写成标准形式

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

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

使用牛顿-拉弗森方法找到

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

的一个解:

u \approx - 1.32471 \dots

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

牛顿-拉弗森近似法定义

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

找到

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

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

使用微分加减法定则:

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

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

\frac{d u}{d u}

使用常见微分定则:

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

= 1

\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} + 1 - 0

化简

= - 3 u^{2} + 1

令

u_{0} = - 1

计算

u_{n + 1}

至

Δ u_{n + 1} < 0.000001

u_{1} = - 1.5 : Δ u_{1} = 0.5

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

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

u_{1} = - 1.5

Δ u_{1} = ∣ - 1.5 - (- 1) ∣ = 0.5

Δ u_{1} = 0.5

u_{2} = - 1.34782 \dots : Δ u_{2} = 0.15217 \dots

f (u_{1}) = - (- 1.5)^{3} + (- 1.5) - 1 = 0.875

f^{^{'}} (u_{1}) = - 3 (- 1.5)^{2} + 1 = - 5.75

u_{2} = - 1.34782 \dots

Δ u_{2} = ∣ - 1.34782 \dots - (- 1.5) ∣ = 0.15217 \dots

Δ u_{2} = 0.15217 \dots

u_{3} = - 1.32520 \dots : Δ u_{3} = 0.02262 \dots

f (u_{2}) = - (- 1.34782 \dots)^{3} + (- 1.34782 \dots) - 1 = 0.10068 \dots

f^{^{'}} (u_{2}) = - 3 (- 1.34782 \dots)^{2} + 1 = - 4.44990 \dots

u_{3} = - 1.32520 \dots

Δ u_{3} = ∣ - 1.32520 \dots - (- 1.34782 \dots) ∣ = 0.02262 \dots

Δ u_{3} = 0.02262 \dots

u_{4} = - 1.32471 \dots : Δ u_{4} = 0.00048 \dots

f (u_{3}) = - (- 1.32520 \dots)^{3} + (- 1.32520 \dots) - 1 = 0.00205 \dots

f^{^{'}} (u_{3}) = - 3 (- 1.32520 \dots)^{2} + 1 = - 4.26846 \dots

u_{4} = - 1.32471 \dots

Δ u_{4} = ∣ - 1.32471 \dots - (- 1.32520 \dots) ∣ = 0.00048 \dots

Δ u_{4} = 0.00048 \dots

u_{5} = - 1.32471 \dots : Δ u_{5} = 2.16754 E - 7

f (u_{4}) = - (- 1.32471 \dots)^{3} + (- 1.32471 \dots) - 1 = 9.24378 E - 7

f^{^{'}} (u_{4}) = - 3 (- 1.32471 \dots)^{2} + 1 = - 4.26463 \dots

u_{5} = - 1.32471 \dots

Δ u_{5} = ∣ - 1.32471 \dots - (- 1.32471 \dots) ∣ = 2.16754 E - 7

Δ u_{5} = 2.16754 E - 7

u \approx - 1.32471 \dots

使用长除法

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

- u^{2} + 1.32471 \dots u - 0.75487 \dots \approx 0

使用牛顿-拉弗森方法找到

- u^{2} + 1.32471 \dots u - 0.75487 \dots = 0

的一个解:

u \in R

无解

- u^{2} + 1.32471 \dots u - 0.75487 \dots = 0

牛顿-拉弗森近似法定义

f (u) = - u^{2} + 1.32471 \dots u - 0.75487 \dots

找到

f^{^{'}} (u) : - 2 u + 1.32471 \dots

\frac{d}{d u} (- u^{2} + 1.32471 \dots u - 0.75487 \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} (1.32471 \dots u) - \frac{d}{d u} (0.75487 \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} (1.32471 \dots u) = 1.32471 \dots

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

将常数提出:

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

= 1.32471 \dots \frac{d u}{d u}

使用常见微分定则:

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

= 1.32471 \dots \cdot 1

化简

= 1.32471 \dots

\frac{d}{d u} (0.75487 \dots) = 0

\frac{d}{d u} (0.75487 \dots)

常数微分:

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

= 0

= - 2 u + 1.32471 \dots - 0

化简

= - 2 u + 1.32471 \dots

令

u_{0} = 1

计算

u_{n + 1}

至

Δ u_{n + 1} < 0.000001

u_{1} = 0.36299 \dots : Δ u_{1} = 0.63700 \dots

f (u_{0}) = - 1^{2} + 1.32471 \dots \cdot 1 - 0.75487 \dots = - 0.43015 \dots

f^{^{'}} (u_{0}) = - 2 \cdot 1 + 1.32471 \dots = - 0.67528 \dots

u_{1} = 0.36299 \dots

Δ u_{1} = ∣ 0.36299 \dots - 1 ∣ = 0.63700 \dots

Δ u_{1} = 0.63700 \dots

u_{2} = 1.04072 \dots : Δ u_{2} = 0.67772 \dots

f (u_{1}) = - 0.36299 \dots^{2} + 1.32471 \dots \cdot 0.36299 \dots - 0.75487 \dots = - 0.40577 \dots

f^{^{'}} (u_{1}) = - 2 \cdot 0.36299 \dots + 1.32471 \dots = 0.59873 \dots

u_{2} = 1.04072 \dots

Δ u_{2} = ∣ 1.04072 \dots - 0.36299 \dots ∣ = 0.67772 \dots

Δ u_{2} = 0.67772 \dots

u_{3} = 0.43374 \dots : Δ u_{3} = 0.60697 \dots

f (u_{2}) = - 1.04072 \dots^{2} + 1.32471 \dots \cdot 1.04072 \dots - 0.75487 \dots = - 0.45931 \dots

f^{^{'}} (u_{2}) = - 2 \cdot 1.04072 \dots + 1.32471 \dots = - 0.75672 \dots

u_{3} = 0.43374 \dots

Δ u_{3} = ∣ 0.43374 \dots - 1.04072 \dots ∣ = 0.60697 \dots

Δ u_{3} = 0.60697 \dots

u_{4} = 1.23950 \dots : Δ u_{4} = 0.80576 \dots

f (u_{3}) = - 0.43374 \dots^{2} + 1.32471 \dots \cdot 0.43374 \dots - 0.75487 \dots = - 0.36842 \dots

f^{^{'}} (u_{3}) = - 2 \cdot 0.43374 \dots + 1.32471 \dots = 0.45723 \dots

u_{4} = 1.23950 \dots

Δ u_{4} = ∣ 1.23950 \dots - 0.43374 \dots ∣ = 0.80576 \dots

Δ u_{4} = 0.80576 \dots

u_{5} = 0.67703 \dots : Δ u_{5} = 0.56247 \dots

f (u_{4}) = - 1.23950 \dots^{2} + 1.32471 \dots \cdot 1.23950 \dots - 0.75487 \dots = - 0.64925 \dots

f^{^{'}} (u_{4}) = - 2 \cdot 1.23950 \dots + 1.32471 \dots = - 1.15429 \dots

u_{5} = 0.67703 \dots

Δ u_{5} = ∣ 0.67703 \dots - 1.23950 \dots ∣ = 0.56247 \dots

Δ u_{5} = 0.56247 \dots

u_{6} = - 10.09982 \dots : Δ u_{6} = 10.77686 \dots

f (u_{5}) = - 0.67703 \dots^{2} + 1.32471 \dots \cdot 0.67703 \dots - 0.75487 \dots = - 0.31637 \dots

f^{^{'}} (u_{5}) = - 2 \cdot 0.67703 \dots + 1.32471 \dots = - 0.02935 \dots

u_{6} = - 10.09982 \dots

Δ u_{6} = ∣ - 10.09982 \dots - 0.67703 \dots ∣ = 10.77686 \dots

Δ u_{6} = 10.77686 \dots

u_{7} = - 4.70404 \dots : Δ u_{7} = 5.39578 \dots

f (u_{6}) = - (- 10.09982 \dots)^{2} + 1.32471 \dots (- 10.09982 \dots) - 0.75487 \dots = - 116.14080 \dots

f^{^{'}} (u_{6}) = - 2 (- 10.09982 \dots) + 1.32471 \dots = 21.52437 \dots

u_{7} = - 4.70404 \dots

Δ u_{7} = ∣ - 4.70404 \dots - (- 10.09982 \dots) ∣ = 5.39578 \dots

Δ u_{7} = 5.39578 \dots

u_{8} = - 1.99138 \dots : Δ u_{8} = 2.71265 \dots

f (u_{7}) = - (- 4.70404 \dots)^{2} + 1.32471 \dots (- 4.70404 \dots) - 0.75487 \dots = - 29.11445 \dots

f^{^{'}} (u_{7}) = - 2 (- 4.70404 \dots) + 1.32471 \dots = 10.73280 \dots

u_{8} = - 1.99138 \dots

Δ u_{8} = ∣ - 1.99138 \dots - (- 4.70404 \dots) ∣ = 2.71265 \dots

Δ u_{8} = 2.71265 \dots

u_{9} = - 0.60494 \dots : Δ u_{9} = 1.38644 \dots

f (u_{8}) = - (- 1.99138 \dots)^{2} + 1.32471 \dots (- 1.99138 \dots) - 0.75487 \dots = - 7.35852 \dots

f^{^{'}} (u_{8}) = - 2 (- 1.99138 \dots) + 1.32471 \dots = 5.30749 \dots

u_{9} = - 0.60494 \dots

Δ u_{9} = ∣ - 0.60494 \dots - (- 1.99138 \dots) ∣ = 1.38644 \dots

Δ u_{9} = 1.38644 \dots

u_{10} = 0.15344 \dots : Δ u_{10} = 0.75838 \dots

f (u_{9}) = - (- 0.60494 \dots)^{2} + 1.32471 \dots (- 0.60494 \dots) - 0.75487 \dots = - 1.92221 \dots

f^{^{'}} (u_{9}) = - 2 (- 0.60494 \dots) + 1.32471 \dots = 2.53460 \dots

u_{10} = 0.15344 \dots

Δ u_{10} = ∣ 0.15344 \dots - (- 0.60494 \dots) ∣ = 0.75838 \dots

Δ u_{10} = 0.75838 \dots

u_{11} = 0.71852 \dots : Δ u_{11} = 0.56507 \dots

f (u_{10}) = - 0.15344 \dots^{2} + 1.32471 \dots \cdot 0.15344 \dots - 0.75487 \dots = - 0.57515 \dots

f^{^{'}} (u_{10}) = - 2 \cdot 0.15344 \dots + 1.32471 \dots = 1.01783 \dots

u_{11} = 0.71852 \dots

Δ u_{11} = ∣ 0.71852 \dots - 0.15344 \dots ∣ = 0.56507 \dots

Δ u_{11} = 0.56507 \dots

u_{12} = - 2.12427 \dots : Δ u_{12} = 2.84279 \dots

f (u_{11}) = - 0.71852 \dots^{2} + 1.32471 \dots \cdot 0.71852 \dots - 0.75487 \dots = - 0.31931 \dots

f^{^{'}} (u_{11}) = - 2 \cdot 0.71852 \dots + 1.32471 \dots = - 0.11232 \dots

u_{12} = - 2.12427 \dots

Δ u_{12} = ∣ - 2.12427 \dots - 0.71852 \dots ∣ = 2.84279 \dots

Δ u_{12} = 2.84279 \dots

无法得出解

解是

u \approx - 1.32471 \dots

u = cos (x)

代回

cos (x) \approx - 1.32471 \dots

cos (x) \approx - 1.32471 \dots

cos (x) = - 1.32471 \dots :

无解

cos (x) = - 1.32471 \dots

- 1 \leq cos (x) \leq 1

无解

合并所有解

无解

合并所有解

无解

将解代入原方程进行验证

将它们代入

sin^{2} (x) = sec (x)

检验解是否符合

去除与方程不符的解。

x \in R 无解

作图

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