In :
from sympy import * r,phi,A,A_r = symbols('r,phi,A,A_r') x,y= symbols('x,y') R=symbols('R') Integral(r,A_r) #Integral(1,x,y) #Integral(1,(r,0,R),(phi,0,2*pi)).doit()
Out:
$\displaystyle \int r\, dA_{r}$
In :
(Matrix([r*cos(phi), r*sin(phi)]).jacobian([r,phi]))
Out:
$\displaystyle \left[\begin{matrix}\cos{\left(\phi \right)} & - r \sin{\left(\phi \right)}\\\sin{\left(\phi \right)} & r \cos{\left(\phi \right)}\end{matrix}\right]$
In :
(Matrix([r*cos(phi), r*sin(phi)]).jacobian([r,phi])).det()
Out:
$\displaystyle r \sin^{2}{\left(\phi \right)} + r \cos^{2}{\left(\phi \right)}$
In :
Integral(r,(r,0,R),(phi,0,2*pi)).doit()
Out:
$\displaystyle \pi R^{2}$
In :
V,H=symbols('V,H') Integral(1,V)
Out:
$\displaystyle \int 1\, dV$
In :
In :
Integral(H*r,(r,0,R),(phi,0,2*pi)).doit()
Out:
$\displaystyle \pi H R^{2}$
In :

$\int^{R}_0 \int^{2 \pi}_0 \int^{H}_0 1 dr d \varphi dz$

$\pi H R^{2}$

In :
expr=Integral(H*r,(r,0,R),(phi,0,2*pi)).doit() print(latex(expr))
Out:
\pi H R^{2}
In :
t=symbols('t') (t**2 + t +10).diff(t) x=Function('x') x(t).diff(t).diff(t)
Out:
$\displaystyle \frac{d^{2}}{d t^{2}} x{\left(t \right)}$

Single Degree of Freedom system  In :
# Newtown's second law
In :
m,a,F, F_k,F_c,k,c,F0=symbols('m_12,a,F, F_k,F_c,k,c,F_0') Eq(m*a,F)
Out:
$\displaystyle a m_{12} = F$
In :
# Hooke's Law - dependency which describes force of the connetor, where x is distance(displacement, exact posistion of mass place in the space, coordinate system), k is coeficient of stiffness
In :
# For the spring eq_hook=Eq(F_k,k*x(t)) eq_hook
Out:
$\displaystyle F_{k} = k x{\left(t \right)}$
In :
# formula for acceleration Eq(a,x(t).diff(t,2))
Out:
$\displaystyle a = \frac{d^{2}}{d t^{2}} x{\left(t \right)}$
In :
eom=Eq(m*x(t).diff(t,2),-x(t)*k ) eom
Out:
$\displaystyle m_{12} \frac{d^{2}}{d t^{2}} x{\left(t \right)} = - k x{\left(t \right)}$
In :
Out:
$\displaystyle k x{\left(t \right)} + m_{12} \frac{d^{2}}{d t^{2}} x{\left(t \right)} = 0$  In :
Omg=Symbol('\Omega') eom=Eq(m*x(t).diff(t,2),-x(t)*k-c*x(t).diff(t) +F0*sin(Omg*t)) eom
Out:
$\displaystyle m_{12} \frac{d^{2}}{d t^{2}} x{\left(t \right)} = F_{0} \sin{\left(\Omega t \right)} - c \frac{d}{d t} x{\left(t \right)} - k x{\left(t \right)}$
In :
In :
# Describe the force of disconector, dumper, (C-element), c - dissipative property and this formula describes velocity with respect to c, dissipative(drag, ressistant) force - # force which acts in opposite direction with respect to the main force. # If the velocity is higher the higher drag(dumper) force # spring tries to keep system equivalent, # dumper just transfers the energy Eq(F_c,c*x(t).diff(t))
Out:
$\displaystyle F_{c} = c \frac{d}{d t} x{\left(t \right)}$ In :
# As x might represent the distance, to find the speed we need just to find derivative, Formula for kinetic energy, labor T=S.One/2 * m * x(t).diff(t)**2 V= Integral(k*x(t),x(t)) T
Out:
$\displaystyle \frac{m_{12} \left(\frac{d}{d t} x{\left(t \right)}\right)^{2}}{2}$
In :
# https://en.wikipedia.org/wiki/Work_(physics) #formula for potential energy V.doit()
Out:
$\displaystyle \frac{k x^{2}{\left(t \right)}}{2}$
In :
# wrong approach - just for explanation W=F_k *x(t) #application of Hooke's law W.subs(eq_hook.lhs,eq_hook.rhs)
Out:
$\displaystyle k x^{2}{\left(t \right)}$
In :
# amount of motion is kinetic energy, capacity of energy is the potential energy.
In :
In :
v=x(t).diff(t) V=S.One/2*k* x(t)**2 + S.One/2*k*(-1*sin(Omg*t)+x(t))**2 #Solution using the lagrangian mechanics application, difference between kinetic energy and potential energy solution for the out with the first picture(out 8), picture with single degree L=(T-V).doit() #dissipative potential D = S.One /2 * c * v**2 Eq(L.diff(v).diff(t)-L.diff(x(t)) + D.diff(v),0).expand().doit()
Out:
$\displaystyle c \frac{d}{d t} x{\left(t \right)} + 2 k x{\left(t \right)} - k \sin{\left(\Omega t \right)} + m_{12} \frac{d^{2}}{d t^{2}} x{\left(t \right)} = 0$
In :
eom
Out:
$\displaystyle m_{12} \frac{d^{2}}{d t^{2}} x{\left(t \right)} = F_{0} \sin{\left(\Omega t \right)} - c \frac{d}{d t} x{\left(t \right)} - k x{\left(t \right)}$ In :
# in this case u is the displacement, in general it is given by the data, and aslo it can be understood from the case for the letter eom_u0=Eq(m*x(t).diff(t,2),-x(t)*k-c*x(t).diff(t) + k*(1*sin(Omg*t)-x(t)) ) eom_u0.expand()
Out:
$\displaystyle m_{12} \frac{d^{2}}{d t^{2}} x{\left(t \right)} = - c \frac{d}{d t} x{\left(t \right)} - 2 k x{\left(t \right)} + k \sin{\left(\Omega t \right)}$
In :