I have to say I’m not that type of person who keeps a determined mind on a certain thing, after a month of attempt. If any words appropriate to describe my study, it should be “Always interested in everything, never about to start up with anything.” That’s a shame, indeed.
With the end of the last year and the arrival of my MacBook Pro, I’m afraid there will be many more realms awaiting my exploration. I’m finally ready to establish my first individual blog under the help of Github Pages (Perhaps as well with Google). What’s tremendous lies as the final exams, which mayhap occupy a great amount of my individual time for review. Anyway, I’m on my path.
Ah, another month of rise and fall...
A Brief Review of Calculator
A mindmap for the present study on calculate:
Concepts
CONCEPTS
FORMAT
INTRODUCTION
limit of function
lim x → x 0 f ( x ) = A \lim\limits_{x\to x_0}f(x)=A x → x 0 lim f ( x ) = A
(ϵ − δ ) \epsilon-\delta) ϵ − δ ) ∀ ϵ > 0 , ∃ δ > 0 ; \forall\epsilon > 0, \exist\delta > 0; ∀ ϵ > 0 , ∃ δ > 0 ; 0 < ∣ f ( x ) − A ∣ < ϵ : x ∈ U ˚ ( x 0 , δ ) 0<\vert f(x) - A \vert <\epsilon: x \in \mathring{U}(x_0,\delta) 0 < ∣ f ( x ) − A ∣ < ϵ : x ∈ U ˚ ( x 0 , δ )
right limit of function
f + ( x ) = f ( x + ) = lim x → x 0 + f ( x ) = A f_+(x)=f(x^+)=\lim\limits_{x\to x_0^+}f(x)=A f + ( x ) = f ( x + ) = x → x 0 + lim f ( x ) = A
(ϵ − δ ) \epsilon-\delta) ϵ − δ ) ∀ ϵ > 0 , ∃ δ > 0 ; \forall\epsilon > 0, \exist\delta > 0; ∀ ϵ > 0 , ∃ δ > 0 ; 0 < ∣ f ( x ) − A ∣ < ϵ : 0 < x − x 0 < δ 0<\vert f(x) - A \vert <\epsilon: 0<x-x_0<\delta 0 < ∣ f ( x ) − A ∣ < ϵ : 0 < x − x 0 < δ
left limit of function
f − ( x ) = f ( x − ) = lim x → x 0 − f ( x ) = A f_-(x)=f(x^-)=\lim\limits_{x\to x_0^-}f(x)=A f − ( x ) = f ( x − ) = x → x 0 − lim f ( x ) = A
(ϵ − δ ) \epsilon-\delta) ϵ − δ ) ∀ ϵ > 0 , ∃ δ > 0 ; \forall\epsilon > 0, \exist\delta > 0; ∀ ϵ > 0 , ∃ δ > 0 ; 0 < ∣ f ( x ) − A ∣ < ϵ : 0 < x 0 − x < δ 0<\vert f(x) - A \vert <\epsilon: 0<x_0-x<\delta 0 < ∣ f ( x ) − A ∣ < ϵ : 0 < x 0 − x < δ
bounded function
∣ f ( x ) ∣ < M : \vert f(x)\vert<M: ∣ f ( x ) ∣ < M : M > 0 {M>0} M > 0
infinitesimal
infinity
order
the speed of variable to infinitesimal
continuity
lim Δ x → 0 Δ y = 0 \lim\limits_{\Delta x\to0}\Delta y= 0 Δ x → 0 lim Δ y = 0
When x 0 ∈ U ( x 0 , δ ) x_0\in U(x_0,\delta) x 0 ∈ U ( x 0 , δ ) and f ( x 0 ) f(x_0) f ( x 0 ) exists, lim x → x 0 f ( x ) \lim\limits_{x\to x_0}f(x) x → x 0 lim f ( x ) exists and f ( x 0 ) = lim x → x 0 f ( x ) f(x_0) = \lim\limits_{x\to x_0}f(x) f ( x 0 ) = x → x 0 lim f ( x ) .
discontinuity point
derivative
one-sided derivative
inexplicit function
(accurate)derivative
A Δ x + ο ( Δ x ) A\Delta x+\omicron(\Delta x) A Δ x + ο ( Δ x )
(approximate)derivative
f ′ ( x ) d x f'(x)dx f ′ ( x ) d x
approxiamate operation
f ( x ) ≈ f ′ ( x 0 ) ( x − x 0 ) + f ( x 0 ) f(x)\approx f'(x_0)(x-x_0)+f(x_0) f ( x ) ≈ f ′ ( x 0 ) ( x − x 0 ) + f ( x 0 )
error term
R ( x ) R(x) R ( x )
Peano term
Lagrange term
point of inflection
f ′ ′ ( x ) = 0 : f + ′ ′ ( x ) + f − ′ ′ ( x ) = 0 f''(x)=0:{f''_+(x)+f''_-(x)=0} f ′ ′ ( x ) = 0 : f + ′ ′ ( x ) + f − ′ ′ ( x ) = 0
integrable
f ( x ) = F ′ ( x ) : x ∈ C ( a , b ) f(x)=F'(x):x\in C(a,b) f ( x ) = F ′ ( x ) : x ∈ C ( a , b )
integral upper limit function
Φ ( x ) = ∫ a x f ( x ) d x : \varPhi (x)=\intop^x_af(x)dx: Φ ( x ) = ∫ a x f ( x ) d x : a ⩽ x ⩽ b a\leqslant x\leqslant b a ⩽ x ⩽ b
瑕點
積分元素
積分和
積分變量
積分上限
積分下限
積分區間
被積表達式
Theorems & Formula
Squeeze Theorem 夾逼定理
φ ( x ) ⩽ f ( x ) ⩽ ψ ( x ) : x ∈ U ˚ ( x 0 , δ ) , \varphi(x)\leqslant f(x)\leqslant\psi(x):x\in \mathring{U}(x_0,\delta), φ ( x ) ⩽ f ( x ) ⩽ ψ ( x ) : x ∈ U ˚ ( x 0 , δ ) ,
lim x → x 0 φ ( x ) = lim x → x 0 ψ ( x ) = A ; \lim\limits_{x\to x_0}\varphi(x)=\lim\limits_{x\to x_0}\psi(x)=A; x → x 0 lim φ ( x ) = x → x 0 lim ψ ( x ) = A ;
∴ lim x → x 0 f ( x ) = A \therefore \lim\limits_{x\to x_0}f(x)=A ∴ x → x 0 lim f ( x ) = A
同濟大學數學系,高等教育出版社,《高等數學(第七版 上冊)》P46~P47,ISBN 978-7-04-039663-8
Zero Point Theorem & Intermediate Value Theorem零點存在定理 & 介值定理
y = f ( x ) : x ∈ C [ a , b ] , f ( a ) ⋅ f ( b ) < 0 ; y=f(x):x\in \text{C}[a,b],f(a)\cdot f(b)<0; y = f ( x ) : x ∈ C [ a , b ] , f ( a ) ⋅ f ( b ) < 0 ;
∴ f ( ξ ) = 0 : ξ ∈ [ a , b ] \therefore f(\xi)=0:\xi\in[a,b] ∴ f ( ξ ) = 0 : ξ ∈ [ a , b ]
Intermediate Value Theorem介值定理
y = f ( x ) : x ∈ C [ a , b ] , { f ( a ) = A f ( b ) = B ; y=f(x):x\in \text{C}[a,b], \begin{cases} f(a)=A \\f(b)=B \end{cases}; y = f ( x ) : x ∈ C [ a , b ] , { f ( a ) = A f ( b ) = B ;
∴ f ( ξ ) = C : ξ ∈ [ a , b ] , A ⩽ C ⩽ B \therefore f(\xi)=C:\xi\in[a,b],A\leqslant C\leqslant B ∴ f ( ξ ) = C : ξ ∈ [ a , b ] , A ⩽ C ⩽ B
y = f ( x ) : x ∈ C [ a , b ] , { f m a x ( x ) = M f m i n ( x ) = m ; y=f(x):x\in \text{C}[a,b],\begin{cases} f_{max}(x)=M \\f_{min}(x)=m \end{cases}; y = f ( x ) : x ∈ C [ a , b ] , { f m a x ( x ) = M f m i n ( x ) = m ;
∴ R f = [ m , M ] \therefore\text{R}_f=[m,M] ∴ R f = [ m , M ]
同濟大學數學系,高等教育出版社,《高等數學(第七版 上冊)》P68,ISBN 978-7-04-039663-8
Leibniz Formula萊布尼茲公式
( u v ) ( n ) = ∑ k = 0 n ( n k ) u n − k v k (uv)^{(n)}=\displaystyle\sum^n_{k=0} \begin{pmatrix}n\\k \end{pmatrix} u^{n-k}v^k ( u v ) ( n ) = k = 0 ∑ n ( n k ) u n − k v k
同濟大學數學系,高等教育出版社,《高等數學(第七版 上冊)》P99,ISBN 978-7-04-039663-8
Fermat Theorem費馬引理
Roller Mean Value Theorem
Lagrange Mean Value Theorem
Cauchy Mean Value Theorem
L’Hopital’s Rule
The Origin Function Existing Theorem
The Fundemental Theorem (Newton-Leibniz Formula)
Function
Types
Diverse functions can be divided according to various standards, yet still some extremely specialized and significant ones which have been studied of sophistication worth command, for their fundamental properties.
Basic Primary Function
There are 6 basic primary functions in total with their derivatives, differentials and integrals ready to employ anywhere and anytime.
constant function
f ( x ) = C : C ∈ R f(x)=C:C\in R f ( x ) = C : C ∈ R
power function
f ( x ) = x n : n ∈ R f(x)=x^n:n\in R f ( x ) = x n : n ∈ R
exponential function
ordinary state
f ( x ) = a x : a ∈ R f(x)=a^x:a\in R f ( x ) = a x : a ∈ R
natural constant state
f ( x ) = e x f(x)=e^x f ( x ) = e x
logarithmic function
ordinary state
f ( x ) = log a x : a ∈ R f(x)=\log_a x:a\in R f ( x ) = log a x : a ∈ R
natural constant state
f ( x ) = ln x f(x)=\ln x f ( x ) = ln x
decuple state
f ( x ) = lg x f(x)=\lg x f ( x ) = lg x
trigonometric functions
sine f ( x ) = sin x f(x)=\sin x f ( x ) = sin x
tangent f ( x ) = tan x f(x)=\tan x f ( x ) = tan x
secant f ( x ) = sec x f(x)=\sec x f ( x ) = sec x
cosine f ( x ) = cos x f(x)=\cos x f ( x ) = cos x
cotangent f ( x ) = cot x f(x)=\cot x f ( x ) = cot x
cosecant f ( x ) = csc x f(x)=\csc x f ( x ) = csc x
inverse trigonometric functions
arcsine f ( x ) = arcsin x f(x)=\arcsin x f ( x ) = arcsin x
illustration:
arc cosine f ( x ) = arccos x f(x)=\arccos x f ( x ) = arccos x
illustration:
arctangent f ( x ) = arctan x f(x)=\arctan x f ( x ) = arctan x
illustration:
Hyperbolic Trigonometric Functions
hyperbolic sine
f ( x ) = sh x = e x − e − x 2 f(x)=\sh x=\frac{\text{e}^x-\text{e}^{-x}}{2} f ( x ) = sh x = 2 e x − e − x
illustration:
hyperbolic cosine
f ( x ) = ch x = e x + e − x 2 f(x)=\ch x=\frac{\text{e}^x+\text{e}^{-x}}{2} f ( x ) = ch x = 2 e x + e − x
illustration:
hyperbolic tangent
f ( x ) = th x = e x − e − x e x + e − x f(x)=\th x=\frac{\text{e}^x-\text{e}^{-x}}{\text{e}^x+\text{e}^{-x}} f ( x ) = th x = e x + e − x e x − e − x
illustration:
Inverse Hyperbolic Trigonometric Functions
inverse hyperbolic sine
f ( x ) = arsh x = ln ( x + x 2 + 1 ) f(x)=\text{arsh}\ x=\ln\Big(x+\sqrt{x^2+1}\Big) f ( x ) = arsh x = ln ( x + x 2 + 1 )
illustration:
inverse hyperbolic cosine
f ( x ) = arch x = ln ( x + x 2 − 1 ) f(x)=\text{arch}\ x=\ln\Big(x+\sqrt{x^2-1}\Big) f ( x ) = arch x = ln ( x + x 2 − 1 )
illustration:
inverse hyperbolic tangent
f ( x ) = arth x = 1 2 ln 1 + x 1 − x f(x)=\text{arth}\ x=\frac{1}{2}\ln\frac{1+x}{1-x} f ( x ) = arth x = 2 1 ln 1 − x 1 + x
illustration:
Limit
Substitution of Equivalent Infinitesimal
x ∼ sin x ∼ arcsin x ∼ tan x ∼ arctan x ∼ ln ( 1 + x ) ∼ e x − 1 x \sim \sin x \sim \arcsin x\sim \tan x\sim \arctan x\sim\ln(1+x)\sim\text{e}^x-1 x ∼ sin x ∼ arcsin x ∼ tan x ∼ arctan x ∼ ln ( 1 + x ) ∼ e x − 1
1 − cos x ∼ x 2 2 1-\cos x\sim\frac{x^2}{2} 1 − cos x ∼ 2 x 2
1 + x n − 1 ∼ x n \sqrt[n]{1+x}-1\sim\frac{x}{n} n 1 + x − 1 ∼ n x
a x − 1 ∼ x ln a a^x-1\sim x\ln a a x − 1 ∼ x ln a
( 1 + x ) m − 1 ∼ m x (1+x)^m-1\sim mx ( 1 + x ) m − 1 ∼ m x
tan x − sin x ∼ x 3 2 \tan x-\sin x\sim\frac{x^3}{2} tan x − sin x ∼ 2 x 3
Major Limits
lim x → 0 sin x x = 1 \lim\limits_{x\to0}\frac{\sin x}{x}=1 x → 0 lim x sin x = 1
lim x → ∞ ( 1 + 1 x ) x = e \lim\limits_{x\to\infin}(1+\frac{1}{x})^x=e x → ∞ lim ( 1 + x 1 ) x = e
Continuity
Discontinuity Point
Llimit and Rlimit exist
else
Llimit equivalent to Rlimit
else
limit equivalent to Infinite
infinitely oscillating limit
Discontinuity Point
The First Class
The Seconde Class
Removable Discontinuity Point
Jump Discontinuity Point
Infinite Discontinuity Point
Oscillating Discontinuity Point
TYPE
DEFINATION
LEFT LIMIT & RIGHT LIMIT
Jump Discontinuity Point
Defined
f + ( x ) ≠ f − ( x ) f_+(x)\neq f_-(x) f + ( x ) ̸ = f − ( x )
Removable Discontinuity Point
Defined
f + ( x ) = f − ( x ) f_+(x)=f_-(x) f + ( x ) = f − ( x )
Infinite Discontinuity Point
NOT Defined
lim x → x 0 f ( x ) = ∞ \lim\limits_{x\to x_0} f(x)=\infty x → x 0 lim f ( x ) = ∞
Oscillating Discontinuity Point
NOT Defined
~
Discontinuity Point of the First Class
Defined
Discontinuity Point of the Second Class
NOT Defined
Derivative & Differential
Method
Basic Derivative and Differential Formula
Warning: differential employed for its transformation with ease to derivative as the following.
d ( f ( x ) ) d x = f ′ ( x ) ⋅ d x d x = f ′ ( x ) \frac{\text{d}\big(f(x)\big)}{\text{d}x}=\frac{f'(x)\cdot \text{d}x}{\text{d}x}=f'(x) d x d ( f ( x ) ) = d x f ′ ( x ) ⋅ d x = f ′ ( x )
constant differential
d ( C ) = 0 \text{d}(C)=0 d ( C ) = 0
power differential
d ( x a ) = a ⋅ x a − 1 d x \text{d}(x^a)=a\cdot x^{a-1}\text{d}x d ( x a ) = a ⋅ x a − 1 d x
exponential differential
d ( a x ) = a x ⋅ ln a d x \text{d}(a^x)=a^x\cdot \ln a\text{d}x d ( a x ) = a x ⋅ ln a d x
d ( e x ) = e x d x \text{d}(\text{e}^x)=\text{e}^x\text{d}x d ( e x ) = e x d x
logarithm differential
d ( log a x ) = d x x ⋅ ln a \text{d}(\log _ax)=\frac{\text{d}x}{x\cdot \ln a} d ( log a x ) = x ⋅ ln a d x
d ( ln x ) = 1 x \text{d}(\ln x)=\frac{1}{x} d ( ln x ) = x 1
trigonometric differentials
d ( sin x ) = cos x d x \text{d}(\sin x)=\cos x\text{d}x d ( sin x ) = cos x d x
d ( cos x ) = − sin x d x \text{d}(\cos x)=-\sin x\text{d}x d ( cos x ) = − sin x d x
d ( tan x ) = sec 2 x d x \text{d}(\tan x)=\sec ^2x\text{d}x d ( tan x ) = sec 2 x d x
d ( cot x ) = − csc 2 x d x \text{d}(\cot x)=-\csc ^2x\text{d}x d ( cot x ) = − csc 2 x d x
d ( csc x ) = cot x ⋅ csc x d x \text{d}(\csc x)=\cot x\cdot\csc x\text{d}x d ( csc x ) = cot x ⋅ csc x d x
d ( sec x ) = − tan x ⋅ sec x d x \text{d}(\sec x)=-\tan x\cdot\sec x\text{d}x d ( sec x ) = − tan x ⋅ sec x d x
inverse trigonometric differentials
d ( arcsin x ) = d x 1 − x 2 \text{d}(\arcsin x)=\frac{\text{d}x}{\sqrt{1-x^2}} d ( arcsin x ) = 1 − x 2 d x
d ( arccos x ) = − d x 1 − x 2 \text{d}(\arccos x)=-\frac{\text{d}x}{\sqrt{1-x^2}} d ( arccos x ) = − 1 − x 2 d x
d ( arctan x ) = d x 1 + x 2 \text{d}(\arctan x)=\frac{\text{d}x}{1+x^2} d ( arctan x ) = 1 + x 2 d x
Characteristics of differential
additive
d ( u ± v ) = d u ± d v \text{d}(u\pm v)=\text{d}u\pm \text{d}v d ( u ± v ) = d u ± d v
multiplicative
d ( u ⋅ v ) = v d u + u d v \text{d}(u\cdot v)=v\text{d}u+u\text{d}v d ( u ⋅ v ) = v d u + u d v
d ( u v ) = d ( u ⋅ 1 v ) = 1 v d u − u v 2 d v = v d u − u d v v 2 \text{d}\bigg(\frac{u}{v}\bigg)=\text{d}(u\cdot \frac{1}{v})=\frac{1}{v}\text{d}u-\frac{u}{v^2}\text{d}v=\frac{v\text{d}u-u\text{d}v}{v^2} d ( v u ) = d ( u ⋅ v 1 ) = v 1 d u − v 2 u d v = v 2 v d u − u d v
scalar multipliable
( a ⋅ x ) = a ⋅ d x : a ∈ R \text(a\cdot x)=a\cdot\text{d}x:a\in R ( a ⋅ x ) = a ⋅ d x : a ∈ R
Characteristics of derivative
additive
( f ( x ) ± g ( x ) ) ′ = f ′ ( x ) ± g ′ ( x ) \big( f(x)\pm g(x)\big)'=f'(x)\pm g'(x) ( f ( x ) ± g ( x ) ) ′ = f ′ ( x ) ± g ′ ( x )
multiplicative
( f ( x ) ⋅ g ( x ) ) = f ′ ( x ) ⋅ g ( x ) + f ( x ) ⋅ g ′ ( x ) \big( f(x)\cdotp g(x)\big)=f'(x)\cdotp g(x)+f(x)\cdotp g'(x) ( f ( x ) ⋅ g ( x ) ) = f ′ ( x ) ⋅ g ( x ) + f ( x ) ⋅ g ′ ( x )
( f ( x ) g ( x ) ) ′ = ( f ( x ) ⋅ 1 g ( x ) ) ′ = f ′ ( x ) ⋅ 1 g ( x ) − f ( x ) ⋅ g ′ ( x ) g 2 ( x ) = f ′ ( x ) ⋅ g ( x ) − f ( x ) ⋅ g ′ ( x ) g 2 ( x ) \Bigg(\frac{f(x)}{g(x)}\Bigg)'=\big( f(x)\cdotp \frac{1}{g(x)}\big)'=f'(x)\cdotp \frac{1}{g(x)}-f(x)\cdotp \frac{g'(x)}{g^2(x)}=\frac{f'(x)\cdotp g(x)-f(x)\cdotp g'(x)}{g^2(x)} ( g ( x ) f ( x ) ) ′ = ( f ( x ) ⋅ g ( x ) 1 ) ′ = f ′ ( x ) ⋅ g ( x ) 1 − f ( x ) ⋅ g 2 ( x ) g ′ ( x ) = g 2 ( x ) f ′ ( x ) ⋅ g ( x ) − f ( x ) ⋅ g ′ ( x )
scalar multiplication
( a ⋅ f ( x ) ) ′ = a ⋅ f ′ ( x ) : a ∈ R \big(a\cdot f(x)\big)'=a\cdot f'(x):a\in R ( a ⋅ f ( x ) ) ′ = a ⋅ f ′ ( x ) : a ∈ R
Advanced Derivative & Differential Formula
Warning: derivative employed for appropriate simplification, and it could be transformed with ease to differential as the following.
d ( f ( x ) ) = f ′ ( x ) ⋅ d x \text{d}\big(f(x)\big)=f'(x)\cdot \text{d}x d ( f ( x ) ) = f ′ ( x ) ⋅ d x
( x e x ) ′ = ( x + 1 ) e x (x\text{e}^x)'=(x+1)\text{e}^x ( x e x ) ′ = ( x + 1 ) e x
( x ln x ) ′ = 1 + ln x (x\ln x)'=1+\ln x ( x ln x ) ′ = 1 + ln x
Application
Major Estimation of Differential
( 1 + x ) a ≈ 1 + a x (1+x)^a \approx 1+ax ( 1 + x ) a ≈ 1 + a x
sin x ≈ x \sin x \approx x sin x ≈ x (radian x x x )
tan x ≈ x \tan x \approx x tan x ≈ x (radian x x x )
e x ≈ 1 + x \text{e}^x\approx 1+x e x ≈ 1 + x
ln ( 1 + x ) ≈ x \ln (1+x)\approx x ln ( 1 + x ) ≈ x
The Mean Value Theorem
Roller Mean Value Theorem 羅爾中值定理
Lagrange Mean Value Theorem 拉格朗日中值定理
Cauchy Mean Value Theorem 柯西中值定理
Taylor Mean Value Theorem 泰勒中值定理
Integral
Definition of Infinite Integral
∫ f ( x ) d x = F ( x ) + C \int f(x)\text{d}x=F(x)+C ∫ f ( x ) d x = F ( x ) + C
The equation above matters under the following conditions:
F ′ ( x ) = f ( x ) F'(x)=f(x) F ′ ( x ) = f ( x )
which is to say,
Definition of Definite Integral
∫ a b f ( x ) d x = ∑ i = 1 n S i = ∑ i = 1 n f ( ξ i ) Δ x i \int _a^bf(x)\text{d}x=\sum_{i=1}^{n}S_i=\sum_{i=1}^{n}f(\xi_i)\Delta x_i ∫ a b f ( x ) d x = i = 1 ∑ n S i = i = 1 ∑ n f ( ξ i ) Δ x i
Major Trigonometric Substitution
sin 2 x + cos 2 x = 1 \sin^2 x+\cos^2 x=1 sin 2 x + cos 2 x = 1
tan 2 x + 1 = sec 2 x \tan^2 x+1=\sec^2 x tan 2 x + 1 = sec 2 x
( tan x ) ′ = sec 2 x (\tan x)'=\sec^2 x ( tan x ) ′ = sec 2 x
Method
Basic Integral Formula
Warning: The following integral formulas are divided according to the left value.
constant function
∫ 0 d x = C \int 0\text{d}x=C ∫ 0 d x = C
power function
∫ x a d x = x a + 1 a + 1 + C \int x^a\text{d}x=\frac{x^{a+1}}{a+1}+C ∫ x a d x = a + 1 x a + 1 + C
exponential function
∫ a x d x = a x ln a + C \int {a^x} \text{d}x=\frac{a^x}{\ln a}+C ∫ a x d x = ln a a x + C
∫ e x d x = e x + C \int {\text{e}^x} \text{d}x=\text{e}^x+C ∫ e x d x = e x + C
logarithm function (natural constant state)
∫ 1 x d x = ln ∣ x ∣ + C \int \frac{1}{x}\text{d}x=\ln \vert x\vert+C ∫ x 1 d x = ln ∣ x ∣ + C
trigonometric functions
∫ cos x d x = sin x + C \int \cos x\text{d}x=\sin x+C ∫ cos x d x = sin x + C
∫ sin x d x = − cos x + C \int \sin x\text{d}x=-\cos x +C ∫ sin x d x = − cos x + C
∫ sec 2 x d x = tan x + C \int \sec ^2x\text{d}x=\tan x+C ∫ sec 2 x d x = tan x + C
∫ csc 2 x d x = − cot x + C \int \csc ^2x\text{d}x=-\cot x+C ∫ csc 2 x d x = − cot x + C
∫ csc x cot x d x = csc x + C \int \csc x\cot x\text{d}x=\csc x+C ∫ csc x cot x d x = csc x + C
∫ sec x tan x d x = − sec x + C \int \sec x\tan x\text{d}x=-\sec x+C ∫ sec x tan x d x = − sec x + C
inverse trigonometric functions
∫ d x 1 − x 2 = arcsin x + C = − arccos x + C \int \frac{\text{d}x}{\sqrt{1-x^2}}=\arcsin x+C=-\arccos x+C ∫ 1 − x 2 d x = arcsin x + C = − arccos x + C
∫ d x a 2 − x 2 = ∫ d ( x a ) 1 − ( x a ) 2 = arcsin x a + C = − arccos x a + C \int \frac{\text{d}x}{\sqrt{a^2-x^2}}=\int \frac{\text{d}\big(\frac{x}{a}\big)}{\sqrt{1-\big(\frac{x}{a}\big)^2}}=\arcsin\frac{x}{a}+C=-\arccos\frac{x}{a}+C ∫ a 2 − x 2 d x = ∫ 1 − ( a x ) 2 d ( a x ) = arcsin a x + C = − arccos a x + C
∫ d x 1 + x 2 = arctan x + C \int \frac{\text{d}x}{1+x^2}=\arctan x+C ∫ 1 + x 2 d x = arctan x + C
∫ d x a 2 + x 2 = 1 a ∫ d ( x a ) 1 + ( x a ) 2 = 1 a arctan x + C \int \frac{\text{d}x}{a^2+x^2}=\frac{1}{a}\int \frac{{\text{d}\big(\frac{x}{a}\big)}}{1+\big(\frac{x}{a}\big)^2}=\frac{1}{a}\arctan x+C ∫ a 2 + x 2 d x = a 1 ∫ 1 + ( a x ) 2 d ( a x ) = a 1 arctan x + C
Characteristics of Integral
Substitution of the First Class
∫ f ( x ) d x → u = φ ( x ) ∫ f ( φ − 1 ( u ) ) ⋅ φ ′ ( x ) d x φ ′ ( x ) = 1 φ ′ ( x ) ∫ g ( u ) d u \int f(x)\text{d}x\xrightarrow{u=\varphi(x)}\int f(\varphi ^{-1}(u))\cdot\frac{\varphi'(x)\text{d}x}{\varphi'(x)}=\frac{1}{\varphi '(x)}\int g(u)\text{d}u ∫ f ( x ) d x u = φ ( x ) ∫ f ( φ − 1 ( u ) ) ⋅ φ ′ ( x ) φ ′ ( x ) d x = φ ′ ( x ) 1 ∫ g ( u ) d u
∫ a b f ( x ) d x → α = φ ( a ) , β = φ ( b ) u = φ ( x ) ( x = φ − 1 ( u ) ) ∫ α β f ( φ − 1 ( u ) ) ⋅ φ ′ ( x ) d x φ ′ ( x ) = 1 φ ′ ( x ) ∫ α β g ( u ) d u \int_a^b f(x)\text{d}x\xrightarrow[\alpha=\varphi(a),\beta=\varphi(b)]{u=\varphi(x)\big(x=\varphi^{-1}(u)\big)}\int_{\alpha}^{\beta} f(\varphi ^{-1}(u))\cdot\frac{\varphi'(x)\text{d}x}{\varphi'(x)}=\frac{1}{\varphi '(x)}\int_{\alpha}^{\beta} g(u)\text{d}u ∫ a b f ( x ) d x u = φ ( x ) ( x = φ − 1 ( u ) ) α = φ ( a ) , β = φ ( b ) ∫ α β f ( φ − 1 ( u ) ) ⋅ φ ′ ( x ) φ ′ ( x ) d x = φ ′ ( x ) 1 ∫ α β g ( u ) d u
Substitution of the Second Class
∫ f ( x ) d x → x = ψ ( t ) ∫ f ( ψ ( t ) ) d ( ψ ( t ) ) = ψ ′ ( t ) ∫ g ( t ) d t \int f(x)\text{d}x\xrightarrow{x=\psi(t)}\int f\big(\psi(t)\big)\text{d}\big(\psi(t)\big)=\psi'(t)\int g(t)\text{d}t ∫ f ( x ) d x x = ψ ( t ) ∫ f ( ψ ( t ) ) d ( ψ ( t ) ) = ψ ′ ( t ) ∫ g ( t ) d t
∫ κ ζ f ( x ) d x → κ = ψ ( k ) , ζ = ψ ( l ) ( k = ψ − 1 ( κ ) , l = ψ − 1 ( ζ ) ) x = ψ ( t ) ∫ k l f ( ψ ( t ) ) d ( ψ ( t ) ) = ψ ′ ( t ) ∫ k l g ( t ) d t \int_{\kappa}^{\zeta}
f(x)\text{d}x\xrightarrow[\kappa=\psi(k),\zeta=\psi(l) \big(k=\psi^{-1}(\kappa),l=\psi^{-1}(\zeta)\big)]{x=\psi(t)}\int_{k}^{l} f\big(\psi(t)\big)\text{d}\big(\psi(t)\big)=\psi'(t)\int_{k}^{l} g(t)\text{d}t ∫ κ ζ f ( x ) d x x = ψ ( t ) κ = ψ ( k ) , ζ = ψ ( l ) ( k = ψ − 1 ( κ ) , l = ψ − 1 ( ζ ) ) ∫ k l f ( ψ ( t ) ) d ( ψ ( t ) ) = ψ ′ ( t ) ∫ k l g ( t ) d t
* Indetermined Coefficient for Fraction
Separation of Multiplicative Integral
∫ u d v = u v + ∫ v d u \int u\text{d}v=uv+\int v\text{d}u ∫ u d v = u v + ∫ v d u
Advanced Integral Formula
∫ x d x = ∫ x 1 2 d x = 2 3 ∫ 3 2 x 1 2 d x = 2 3 ∫ ( x 3 2 ) ′ d x = 2 3 x 3 2 d x + C \int\sqrt x\text{d}x=\int x^{\frac{1}{2}}\text{d}x=\frac{2}{3}\int \frac{3}{2}x^{\frac{1}{2}}\text{d}x=\frac{2}{3}\int (x^{\frac{3}{2}})'\text{d}x=\frac{2}{3}x^{\frac{3}{2}}\text{d} x+C ∫ x d x = ∫ x 2 1 d x = 3 2 ∫ 2 3 x 2 1 d x = 3 2 ∫ ( x 2 3 ) ′ d x = 3 2 x 2 3 d x + C
∫ d x x = ∫ x − 1 2 d x = 2 ∫ 1 2 x − 1 2 = 2 ∫ ( x 1 2 ) ′ d x = 2 x 1 2 d x + C \int\frac{\text{d} x}{\sqrt x}=\int x^{-\frac{1}{2}}\text{d}x=2\int \frac{1}{2}x^{-\frac{1}{2}}=2\int(x^{\frac{1}{2}})'\text{d}x=2x^{\frac{1}{2}}\text{d}x+C ∫ x d x = ∫ x − 2 1 d x = 2 ∫ 2 1 x − 2 1 = 2 ∫ ( x 2 1 ) ′ d x = 2 x 2 1 d x + C
∫ tan x d x = ∫ sin x cos x d x = ∫ − d ( cos x ) cos x = − ln ∣ cos x ∣ + C \int \tan x\text{d}x=\int \frac{\sin x}{\cos x}\text{d}x=\int -\frac{\text{d}(\cos x)}{\cos x}=-\ln\vert\cos x\vert+C ∫ tan x d x = ∫ cos x sin x d x = ∫ − cos x d ( cos x ) = − ln ∣ cos x ∣ + C
∫ cot x d x = ∫ cos x sin x d x = ∫ d ( sin x ) sin x = ln ∣ sin x ∣ + C \int \cot x\text{d}x=\int \frac{\cos x}{\sin x}\text{d}x=\int \frac{\text{d}(\sin x)}{\sin x}=\ln \vert\sin x\vert+C ∫ cot x d x = ∫ sin x cos x d x = ∫ sin x d ( sin x ) = ln ∣ sin x ∣ + C
∫ d x 1 − x 2 = ∫ 1 2 ( 1 1 − x + 1 1 + x ) d x = 1 2 ( ∫ − d ( 1 − x ) 1 − x + ∫ d ( 1 + x ) 1 + x ) = 1 2 ( − ln ( 1 − x ) + ln ( 1 + x ) ) + C = 1 2 ln ∣ 1 + x 1 − x ∣ + C \int \frac{\text{d}x}{1-x^2}=\int\frac{1}{2}\Bigg(\frac{1}{1-x}+\frac{1}{1+x}\Bigg)\text{d}x=\frac{1}{2}\Bigg(\int-\frac{\text{d}(1-x)}{1-x}+\int\frac{\text{d}(1+x)}{1+x}\Bigg)=\frac{1}{2}\Big(-\ln(1-x)+\ln(1+x)\Big)+C=\frac{1}{2}\ln\vert\frac{1+x}{1-x}\vert+C ∫ 1 − x 2 d x = ∫ 2 1 ( 1 − x 1 + 1 + x 1 ) d x = 2 1 ( ∫ − 1 − x d ( 1 − x ) + ∫ 1 + x d ( 1 + x ) ) = 2 1 ( − ln ( 1 − x ) + ln ( 1 + x ) ) + C = 2 1 ln ∣ 1 − x 1 + x ∣ + C
∫ d x a 2 − x 2 = 1 a ∫ d ( x a ) 1 − ( x a ) 2 = 1 a ∫ 1 2 ( 1 1 − x a + 1 1 + x a ) d ( x a ) = 1 2 a ( ∫ d ( x a ) 1 − x a + ∫ d ( x a ) 1 + x a ) = 1 2 a ( ∫ − d ( 1 − x a ) 1 − x a + ∫ d ( 1 + x a ) 1 + x a ) = 1 2 a ( − ln ∣ 1 − x a ∣ + ln ∣ 1 + x a ∣ ) + C = 1 2 a ln ∣ 1 + x a 1 − x a ∣ + C = 1 2 a ln ∣ a + x a − x ∣ + C \int \frac{\text{d}x}{a^2-x^2}=\frac{1}{a}\int\frac{\text{d}\big(\frac{x}{a}\big)}{1-\big(\frac{x}{a}\big)^2}=\frac{1}{a}\int\frac{1}{2}\Bigg(\frac{1}{1-\frac{x}{a}}+\frac{1}{1+\frac{x}{a}}\Bigg)\text{d}\Bigg(\frac{x}{a}\Bigg)=\frac{1}{2a}\Bigg(\int\frac{\text{d}\big(\frac{x}{a}\big)}{1-\frac{x}{a}}+\int\frac{\text{d}\big(\frac{x}{a}\big)}{1+\frac{x}{a}}\Bigg)=\frac{1}{2a}\Bigg(\int-\frac{\text{d}\big(1-\frac{x}{a}\big)}{1-\frac{x}{a}}+\int\frac{\text{d}\big(1+\frac{x}{a}\big)}{1+\frac{x}{a}}\Bigg)=\frac{1}{2a}\Bigg(-\ln\vert 1-\frac{x}{a}\vert+\ln\vert 1+\frac{x}{a}\vert\Bigg)+C=\frac{1}{2a}\ln\vert\frac{1+\frac{x}{a}}{1-\frac{x}{a}}\vert+C=\frac{1}{2a}\ln\vert\frac{a+x}{a-x}\vert+C ∫ a 2 − x 2 d x = a 1 ∫ 1 − ( a x ) 2 d ( a x ) = a 1 ∫ 2 1 ( 1 − a x 1 + 1 + a x 1 ) d ( a x ) = 2 a 1 ( ∫ 1 − a x d ( a x ) + ∫ 1 + a x d ( a x ) ) = 2 a 1 ( ∫ − 1 − a x d ( 1 − a x ) + ∫ 1 + a x d ( 1 + a x ) ) = 2 a 1 ( − ln ∣ 1 − a x ∣ + ln ∣ 1 + a x ∣ ) + C = 2 a 1 ln ∣ 1 − a x 1 + a x ∣ + C = 2 a 1 ln ∣ a − x a + x ∣ + C
∫ sec x d x = ∫ ln ∣ sec x + tan x ∣ + C \int \sec x\text{d}x=\int \ln\vert\sec x+\tan x\vert +C ∫ sec x d x = ∫ ln ∣ sec x + tan x ∣ + C
∫ csc x d x = ∫ ln ∣ csc x − cot x ∣ + C \int \csc x\text{d}x=\int \ln\vert\csc x-\cot x\vert +C ∫ csc x d x = ∫ ln ∣ csc x − cot x ∣ + C
∫ d x x 2 ± a 2 = 1 a ln ∣ x + x 2 + a 2 ∣ + C \int \frac{\text{d}x}{\sqrt{x^2\pm a^2}}=\frac{1}{a}\ln\vert x+\sqrt{x^2+a^2}\vert +C ∫ x 2 ± a 2 d x = a 1 ln ∣ x + x 2 + a 2 ∣ + C
∫ x e x d x = ( x − 1 ) e x + C \int x\text{e}^x\text{d}x=(x-1)\text{e}^x+C ∫ x e x d x = ( x − 1 ) e x + C
∫ x e − x d x = − ( x + 1 ) e x + C \int x\text{e}^{-x}\text{d}x=-(x+1)\text{e}^x+C ∫ x e − x d x = − ( x + 1 ) e x + C
∫ sin x e x d x = 1 2 ( sin x − cos x ) e x + C \int \sin x\text{e}^x\text{d}x=\frac{1}{2}({\sin x-\cos x})\text{e}^x+C ∫ sin x e x d x = 2 1 ( sin x − cos x ) e x + C
I n = x n e x − I n − 1 : I n = ∫ x n e x d x , I 1 = ∫ x e x d x = ( x − 1 ) e x + C I_n=x^n\text{e}^x-I_{n-1}:I_n=\int x^n\text{e}^x\text{d}x,I_1=\int x\text{e}^x\text{d}x=(x-1)\text{e}^x+C I n = x n e x − I n − 1 : I n = ∫ x n e x d x , I 1 = ∫ x e x d x = ( x − 1 ) e x + C
∫ ln x d x = x ln x − x + C \int \ln x\text{d}x=x\ln x-x+C ∫ ln x d x = x ln x − x + C