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人気のある三角関数 >

tan(x)-cot(x)=2cot^2(x)

解

tan (x) - cot (x) = 2 cot^{2} (x)

解

x = 0.98930 \dots + πn

+1

度

x = 56.68315 \dots^{\circ} + 18 0^{\circ} n

解答ステップ

tan (x) - cot (x) = 2 cot^{2} (x)

両辺から

2 cot^{2} (x)

を引く

tan (x) - cot (x) - 2 cot^{2} (x) = 0

三角関数の公式を使用して書き換える

- cot (x) + tan (x) - 2 cot^{2} (x)

基本的な三角関数の公式を使用する:

tan (x) = \frac{1}{cot ( x )}

= - cot (x) + \frac{1}{cot ( x )} - 2 cot^{2} (x)

- cot (x) + \frac{1}{cot ( x )} - 2 cot^{2} (x) = 0

置換で解く

- cot (x) + \frac{1}{cot ( x )} - 2 cot^{2} (x) = 0

仮定:

cot (x) = u

- u + \frac{1}{u} - 2 u^{2} = 0

- u + \frac{1}{u} - 2 u^{2} = 0 : u \approx 0.65729 \dots

- u + \frac{1}{u} - 2 u^{2} = 0

以下で両辺を乗じる:

u

- u + \frac{1}{u} - 2 u^{2} = 0

以下で両辺を乗じる:

u

- uu + \frac{1}{u} u - 2 u^{2} u = 0 \cdot u

簡素化

- uu + \frac{1}{u} u - 2 u^{2} u = 0 \cdot u

簡素化

- uu : - u^{2}

- uu

指数の規則を適用する:

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

uu = u^{1 + 1}

= - u^{1 + 1}

数を足す:

1 + 1 = 2

= - u^{2}

簡素化

\frac{1}{u} u : 1

\frac{1}{u} u

分数を乗じる:

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

= \frac{1 \cdot u}{u}

共通因数を約分する:

u

= 1

簡素化

- 2 u^{2} u : - 2 u^{3}

- 2 u^{2} u

指数の規則を適用する:

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

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

= - 2 u^{2 + 1}

数を足す:

2 + 1 = 3

= - 2 u^{3}

簡素化

0 \cdot u : 0

0 \cdot u

規則を適用

0 \cdot a = 0

= 0

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

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

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

解く

- u^{2} + 1 - 2 u^{3} = 0 : u \approx 0.65729 \dots

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

標準的な形式で書く

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

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

ニュートン・ラプソン法を使用して

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

の解を1つ求める:

u \approx 0.65729 \dots

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

ニュートン・ラプソン概算の定義

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

発見する

f^{^{'}} (u) : - 6 u^{2} - 2 u

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

和/差の法則を適用:

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

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

\frac{d}{d u} (2 u^{3}) = 6 u^{2}

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

定数を除去:

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

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

乗の法則を適用:

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

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

簡素化

= 6 u^{2}

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

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

乗の法則を適用:

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

= 2 u^{2 - 1}

簡素化

= 2 u

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

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

定数の導関数:

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

= 0

= - 6 u^{2} - 2 u + 0

簡素化

= - 6 u^{2} - 2 u

仮定:

u_{0} = 1

Δ u_{n + 1} <

になるまで

u_{n + 1}

を計算する

0.000001

u_{1} = 0.75 : Δ u_{1} = 0.25

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

f^{^{'}} (u_{0}) = - 6 \cdot 1^{2} - 2 \cdot 1 = - 8

u_{1} = 0.75

Δ u_{1} = ∣ 0.75 - 1 ∣ = 0.25

Δ u_{1} = 0.25

u_{2} = 0.66666 \dots : Δ u_{2} = 0.08333 \dots

f (u_{1}) = - 2 \cdot 0.7 5^{3} - 0.7 5^{2} + 1 = - 0.40625

f^{^{'}} (u_{1}) = - 6 \cdot 0.7 5^{2} - 2 \cdot 0.75 = - 4.875

u_{2} = 0.66666 \dots

Δ u_{2} = ∣ 0.66666 \dots - 0.75 ∣ = 0.08333 \dots

Δ u_{2} = 0.08333 \dots

u_{3} = 0.65740 \dots : Δ u_{3} = 0.00925 \dots

f (u_{2}) = - 2 \cdot 0.66666 \dots^{3} - 0.66666 \dots^{2} + 1 = - 0.03703 \dots

f^{^{'}} (u_{2}) = - 6 \cdot 0.66666 \dots^{2} - 2 \cdot 0.66666 \dots = - 4

u_{3} = 0.65740 \dots

Δ u_{3} = ∣ 0.65740 \dots - 0.66666 \dots ∣ = 0.00925 \dots

Δ u_{3} = 0.00925 \dots

u_{4} = 0.65729 \dots : Δ u_{4} = 0.00010 \dots

f (u_{3}) = - 2 \cdot 0.65740 \dots^{3} - 0.65740 \dots^{2} + 1 = - 0.00042 \dots

f^{^{'}} (u_{3}) = - 6 \cdot 0.65740 \dots^{2} - 2 \cdot 0.65740 \dots = - 3.90792 \dots

u_{4} = 0.65729 \dots

Δ u_{4} = ∣ 0.65729 \dots - 0.65740 \dots ∣ = 0.00010 \dots

Δ u_{4} = 0.00010 \dots

u_{5} = 0.65729 \dots : Δ u_{5} = 1.51148 E - 8

f (u_{4}) = - 2 \cdot 0.65729 \dots^{3} - 0.65729 \dots^{2} + 1 = - 5.90512 E - 8

f^{^{'}} (u_{4}) = - 6 \cdot 0.65729 \dots^{2} - 2 \cdot 0.65729 \dots = - 3.90684 \dots

u_{5} = 0.65729 \dots

Δ u_{5} = ∣ 0.65729 \dots - 0.65729 \dots ∣ = 1.51148 E - 8

Δ u_{5} = 1.51148 E - 8

u \approx 0.65729 \dots

長除法を適用する:

\frac{- 2 u ^{3} - u ^{2} + 1}{u - 0.65729 \dots} = - 2 u^{2} - 2.31459 \dots u - 1.52137 \dots

- 2 u^{2} - 2.31459 \dots u - 1.52137 \dots \approx 0

ニュートン・ラプソン法を使用して

- 2 u^{2} - 2.31459 \dots u - 1.52137 \dots = 0

の解を1つ求める:

以下の解はない:

u \in R

- 2 u^{2} - 2.31459 \dots u - 1.52137 \dots = 0

ニュートン・ラプソン概算の定義

f (u) = - 2 u^{2} - 2.31459 \dots u - 1.52137 \dots

発見する

f^{^{'}} (u) : - 4 u - 2.31459 \dots

\frac{d}{d u} (- 2 u^{2} - 2.31459 \dots u - 1.52137 \dots)

和/差の法則を適用:

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

= - \frac{d}{d u} (2 u^{2}) - \frac{d}{d u} (2.31459 \dots u) - \frac{d}{d u} (1.52137 \dots)

\frac{d}{d u} (2 u^{2}) = 4 u

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

定数を除去:

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

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

乗の法則を適用:

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

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

簡素化

= 4 u

\frac{d}{d u} (2.31459 \dots u) = 2.31459 \dots

\frac{d}{d u} (2.31459 \dots u)

定数を除去:

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

= 2.31459 \dots \frac{d u}{d u}

共通の導関数を適用:

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

= 2.31459 \dots \cdot 1

簡素化

= 2.31459 \dots

\frac{d}{d u} (1.52137 \dots) = 0

\frac{d}{d u} (1.52137 \dots)

定数の導関数:

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

= 0

= - 4 u - 2.31459 \dots - 0

簡素化

= - 4 u - 2.31459 \dots

仮定:

u_{0} = - 1

Δ u_{n + 1} <

になるまで

u_{n + 1}

を計算する

0.000001

u_{1} = - 0.28397 \dots : Δ u_{1} = 0.71602 \dots

f (u_{0}) = - 2 (- 1)^{2} - 2.31459 \dots (- 1) - 1.52137 \dots = - 1.20678 \dots

f^{^{'}} (u_{0}) = - 4 (- 1) - 2.31459 \dots = 1.68540 \dots

u_{1} = - 0.28397 \dots

Δ u_{1} = ∣ - 0.28397 \dots - (- 1) ∣ = 0.71602 \dots

Δ u_{1} = 0.71602 \dots

u_{2} = - 1.15391 \dots : Δ u_{2} = 0.86993 \dots

f (u_{1}) = - 2 (- 0.28397 \dots)^{2} - 2.31459 \dots (- 0.28397 \dots) - 1.52137 \dots = - 1.02537 \dots

f^{^{'}} (u_{1}) = - 4 (- 0.28397 \dots) - 2.31459 \dots = - 1.17867 \dots

u_{2} = - 1.15391 \dots

Δ u_{2} = ∣ - 1.15391 \dots - (- 0.28397 \dots) ∣ = 0.86993 \dots

Δ u_{2} = 0.86993 \dots

u_{3} = - 0.49614 \dots : Δ u_{3} = 0.65777 \dots

f (u_{2}) = - 2 (- 1.15391 \dots)^{2} - 2.31459 \dots (- 1.15391 \dots) - 1.52137 \dots = - 1.51356 \dots

f^{^{'}} (u_{2}) = - 4 (- 1.15391 \dots) - 2.31459 \dots = 2.30105 \dots

u_{3} = - 0.49614 \dots

Δ u_{3} = ∣ - 0.49614 \dots - (- 1.15391 \dots) ∣ = 0.65777 \dots

Δ u_{3} = 0.65777 \dots

u_{4} = - 3.11809 \dots : Δ u_{4} = 2.62195 \dots

f (u_{3}) = - 2 (- 0.49614 \dots)^{2} - 2.31459 \dots (- 0.49614 \dots) - 1.52137 \dots = - 0.86532 \dots

f^{^{'}} (u_{3}) = - 4 (- 0.49614 \dots) - 2.31459 \dots = - 0.33003 \dots

u_{4} = - 3.11809 \dots

Δ u_{4} = ∣ - 3.11809 \dots - (- 0.49614 \dots) ∣ = 2.62195 \dots

Δ u_{4} = 2.62195 \dots

u_{5} = - 1.76452 \dots : Δ u_{5} = 1.35357 \dots

f (u_{4}) = - 2 (- 3.11809 \dots)^{2} - 2.31459 \dots (- 3.11809 \dots) - 1.52137 \dots = - 13.74928 \dots

f^{^{'}} (u_{4}) = - 4 (- 3.11809 \dots) - 2.31459 \dots = 10.15778 \dots

u_{5} = - 1.76452 \dots

Δ u_{5} = ∣ - 1.76452 \dots - (- 3.11809 \dots) ∣ = 1.35357 \dots

Δ u_{5} = 1.35357 \dots

u_{6} = - 0.99203 \dots : Δ u_{6} = 0.77249 \dots

f (u_{5}) = - 2 (- 1.76452 \dots)^{2} - 2.31459 \dots (- 1.76452 \dots) - 1.52137 \dots = - 3.66430 \dots

f^{^{'}} (u_{5}) = - 4 (- 1.76452 \dots) - 2.31459 \dots = 4.74350 \dots

u_{6} = - 0.99203 \dots

Δ u_{6} = ∣ - 0.99203 \dots - (- 1.76452 \dots) ∣ = 0.77249 \dots

Δ u_{6} = 0.77249 \dots

u_{7} = - 0.27025 \dots : Δ u_{7} = 0.72177 \dots

f (u_{6}) = - 2 (- 0.99203 \dots)^{2} - 2.31459 \dots (- 0.99203 \dots) - 1.52137 \dots = - 1.19348 \dots

f^{^{'}} (u_{6}) = - 4 (- 0.99203 \dots) - 2.31459 \dots = 1.65353 \dots

u_{7} = - 0.27025 \dots

Δ u_{7} = ∣ - 0.27025 \dots - (- 0.99203 \dots) ∣ = 0.72177 \dots

Δ u_{7} = 0.72177 \dots

u_{8} = - 1.11489 \dots : Δ u_{8} = 0.84464 \dots

f (u_{7}) = - 2 (- 0.27025 \dots)^{2} - 2.31459 \dots (- 0.27025 \dots) - 1.52137 \dots = - 1.04192 \dots

f^{^{'}} (u_{7}) = - 4 (- 0.27025 \dots) - 2.31459 \dots = - 1.23356 \dots

u_{8} = - 1.11489 \dots

Δ u_{8} = ∣ - 1.11489 \dots - (- 0.27025 \dots) ∣ = 0.84464 \dots

Δ u_{8} = 0.84464 \dots

u_{9} = - 0.44970 \dots : Δ u_{9} = 0.66519 \dots

f (u_{8}) = - 2 (- 1.11489 \dots)^{2} - 2.31459 \dots (- 1.11489 \dots) - 1.52137 \dots = - 1.42683 \dots

f^{^{'}} (u_{8}) = - 4 (- 1.11489 \dots) - 2.31459 \dots = 2.14500 \dots

u_{9} = - 0.44970 \dots

Δ u_{9} = ∣ - 0.44970 \dots - (- 1.11489 \dots) ∣ = 0.66519 \dots

Δ u_{9} = 0.66519 \dots

u_{10} = - 2.16551 \dots : Δ u_{10} = 1.71580 \dots

f (u_{9}) = - 2 (- 0.44970 \dots)^{2} - 2.31459 \dots (- 0.44970 \dots) - 1.52137 \dots = - 0.88496 \dots

f^{^{'}} (u_{9}) = - 4 (- 0.44970 \dots) - 2.31459 \dots = - 0.51576 \dots

u_{10} = - 2.16551 \dots

Δ u_{10} = ∣ - 2.16551 \dots - (- 0.44970 \dots) ∣ = 1.71580 \dots

Δ u_{10} = 1.71580 \dots

解を見つけられない

解は

u \approx 0.65729 \dots

u \approx 0.65729 \dots

解を検算する

未定義の (特異) 点を求める:

u = 0

- u + \frac{1}{u} - 2 u^{2}

の分母をゼロに比較する

u = 0

以下の点は定義されていない

u = 0

未定義のポイントを解に組み合わせる:

u \approx 0.65729 \dots

代用を戻す

u = cot (x)

cot (x) \approx 0.65729 \dots

cot (x) \approx 0.65729 \dots

cot (x) = 0.65729 \dots : x = arccot (0.65729 \dots) + πn

cot (x) = 0.65729 \dots

三角関数の逆数プロパティを適用する

cot (x) = 0.65729 \dots

以下の一般解

cot (x) = 0.65729 \dots

cot (x) = a \Rightarrow x = arccot (a) + πn

x = arccot (0.65729 \dots) + πn

x = arccot (0.65729 \dots) + πn

すべての解を組み合わせる

x = arccot (0.65729 \dots) + πn

10進法形式で解を証明する

x = 0.98930 \dots + πn

グラフ

人気の例

cot((-x+3n)/4)=0

sin(x)+sin^2(x)+sin^3(x)=1

(cos(a))/(1+sin(a))=sec(a)

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

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