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Python solves advanced mathematics problems, and my mother no longer has to worry about my learning
Use Python to solve limits and derivatives in advanced mathematics , partial derivatives, definite integrals, indefinite integrals, double integrals and other problems
Sympy is a Python scientific computing library, which aims to become a fully functional computer algebra system. SymPy includes functions from basic symbolic arithmetic to calculus, algebra, discrete mathematics and quantum physics. It can display the results in LaTeX.
Sympy official website
Article directory
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from sympy import *import sympy
Enter the "x= symbols("x")" command to define a symbol
x = Symbol("x")y = Symbol("y")
1. Practical tips
1.1 Symbol function
sympy provides a lot of mathematical symbols, summarized as follows
sympy.I
sympy.E
sympy.oo
sympy.pi
sympy.root(8,3)
sympy.log(1024,2)
sympy.factorial(4)
sympy.sin(sympy.pi)sympy.tan(sympy.pi/4)sympy.cos(sympy.pi/2)
1.2 Expand expression expand
f = (1+x)**3expand(f)
x 3 + 3 x 2 + 3 x + 1 \displaystyle x^{3} + 3 x^{2} + 3 x + 1 x3+3x2+3x+1
1.3 泰勒展开公式series
ln(1+x).series(x,0,4)
x − x 2 2 + x 3 3 + O ( x 4 ) \displaystyle x - \frac{x^{2}}{2} + \frac{x^{3}}{3} + O\left(x^{4}\right) x−2x2 3x3 O(x4)
sin(x).series(x,0,8)
x − x 3 6 + x 5 120 − x 7 5040 + O ( x 8 ) \displaystyle x - \frac{x^{3}}{6} + \frac{x^{5}}{120} - \frac{x^{7}}{5040} + O\left(x^{8}\right) x−6x3 120x5−5040x7 O(x8)
cos(x).series(x,0,9)
1 − x 2 2 + x 4 24 − x 6 720 + x 8 40320 + O ( x 9 ) \displaystyle 1 - \frac{x^{2}}{2} + \frac{x^{4}}{24} - \frac{x^{6}}{720} + \frac{x^{8}}{40320} + O\left(x^{9}\right) 1−2x2 24x4−720x6 40320x8 O(x9)
(1/(1+x)).series(x,0,5)
1 − x + x 2 − x 3 + x 4 + O ( x 5 ) \displaystyle 1 - x + x^{2} - x^{3} + x^{4} + O\left(x^{5}\right) 1−x x2−x3 x4 O(x5)
tan(x).series(x,0,4)
x + x 3 3 + O ( x 4 ) \displaystyle x + \frac{x^{3}}{3} + O\left(x^{4}\right) x+3x3+O(x4)
(1/(1-x)).series(x,0,4)
1 + x + x 2 + x 3 + O ( x 4 ) \displaystyle 1 + x + x^{2} + x^{3} + O\left(x^{4}\right) 1+x+x2+x3+O(x4)
(1/(1+x)).series(x,0,4)
1 − x + x 2 − x 3 + O ( x 4 ) \displaystyle 1 - x + x^{2} - x^{3} + O\left(x^{4}\right) 1−x+x2−x3+O(x4)
1.4 符号展开
a = Symbol("a")b = Symbol("b")#simplify( )普通的化简simplify((x**3 + x**2 - x - 1)/(x**2 + 2*x + 1))#trigsimp( )三角化简trigsimp(sin(x)/cos(x))#powsimp( )指数化简powsimp(x**a*x**b)
x a + b \displaystyle x^{a + b} xa+b
2. 求极限limit
limit(sin(x)/x,x,0)
1 \displaystyle 1 1
f2=(1+x)**(1/x)
f2
( x + 1 ) 1 x \displaystyle \left(x + 1\right)^{\frac{1}{x}} (x+1)x1
重要极限
f1=sin(x)/x f2=(1+x)**(1/x)f3=(1+1/x)**x lim1=limit(f1,x,0)lim2=limit(f2,x,0)lim3=limit(f3,x,oo)print(lim1,lim2,lim3)
1 E E
dir可以表示极限的趋近方向
f4 = (1+exp(1/x))f4
e 1 x + 1 \displaystyle e^{\frac{1}{x}} + 1 ex1+1
lim4 = limit(f4,x,0,dir="-")lim4
1 \displaystyle 1 1
lim5 = limit(f4,x,0,dir="+")lim5
∞ \displaystyle \infty ∞
3. 求导diff
diff(函数,自变量,求导次数)
3.1 一元函数
求导问题
diff(sin(2*x),x)
2 cos ( 2 x ) \displaystyle 2 \cos{\left(2 x \right)} 2cos(2x)
diff(ln(x),x)
1 x \displaystyle \frac{1}{x} x1
3.2 多元函数
求偏导问题
diff(sin(x*y),x,y)
− x y sin ( x y ) + cos ( x y ) \displaystyle - x y \sin{\left(x y \right)} + \cos{\left(x y \right)} −xysin(xy)+cos(xy)
4. 积分integrate
4.1 定积分
f = x**2 + 1integrate(f,(x,-1.1))
− 1.54366666666667 \displaystyle -1.54366666666667 −1.54366666666667
integrate(exp(x),(x,-oo,0))
1 \displaystyle 1 1
4.2 不定积分
f = 1/(1+x*x)integrate(f,x)
atan ( x ) \displaystyle \operatorname{atan}{\left(x \right)} atan(x)
4.3 双重积分
f = (4/3)*x + 2*y integrate(f,(x,0,1),(y,-3,4))
11.6666666666667 \displaystyle 11.6666666666667 11.6666666666667
5. 求解方程组solve
#解方程组#定义变量f1=x+y-3f2=x-y+5solve([f1,f2],[x,y])
{x: -1, y: 4}
6. 计算求和式summation
计算求和式可以使用sympy.summation函数,其函数原型为sympy.summation(f, *symbols, **kwargs)
**
sympy.summation(2 * n,(n,1,100))
10100
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