functional: mapping function to number. Ex. max(f(x)=x2)
Newton’s Second Law
F=ma, is essentially stating a ordinary differential equation r¨=f(t,r,r˙) which has two degrees of freedom r(0) and r˙(0)
Stationary Point
For f(x): df=0 for any dx. Since df=f′dx, we have f′=0. For multi-variable function F(x1,x2,⋯,xn), dF=∇F⋅(dx1,dx2,⋯,dxn)T=0 Change variable dxi=ηidα dF=dαi=1∑n∂xi∂Fηi=0 Since dxi is arbitrary, ηi is also arbitrary. For the jth term, select ηi=0,i=j and ηj=0, we can obtain ∂xi∂F=0,∀i
Variation
Virtual Displacement: An imagined displacement with no time change, denoted as δx. Ex. the δy in the graph.
Virtual Path: an imagined path which is different from the right path. Ex. the pink path on the graph.
Change variable: δy(x)=η(x)dα, so that Y(x)=y(x)+δy(x)=y(x)+αη(x)
Find the right path making the following integral stationary, with start point and end point fixed. I=∫abf(y,y′,x)dx
Book’s Method
I is only dependent on α and it is stationary at α=0,Y(x)=y(x), therefore dαdI∣∣∣α=0=∫ab∂α∂f(y,y′,x)dx=0 Apply the chain rule ∫ab(∂y∂f∂α∂y+∂y′∂f∂α∂y′)dx=∫ab(∂y∂fη+∂y′∂fη′)dx=0 Treat the second term in the integral with the Law of Integral by Parts ∫ab∂y′∂fη′dx=∂y′∂fη′(x)∣∣∣ab−∫abηdxd∂y′∂fdx Since the start point and end point are fixed, the variation η(x1)=η(x2)=0, so the first term will vanish. Take the second term back into dαdI dαdI∣∣∣α=0=∫abη(x)(∂y∂f−dxd∂y′∂f)dx=0,∀η(x) Therefore, we get the Lagrange Equation ∂y∂f−dxd∂y′∂f=0
Lagrange’s Method (1755)
δI=I(α)−I(0)=∫abδf(y,y′,x)dx ∵δx=0∴δf=∂y∂fδy+∂y′∂fδy′ Use the change of variable for δy dαdδf=∂y∂fη+∂y′∂fη′ Take back to the integral. And for the stationary right path, δI should be zero for all infinitesimal dα. dαdδI=∫ab(∂y∂fη+∂y′∂fη′)dx=0 Use the same technique as in the Book’s Method, we can get the Euler-Lagrange Equation ∂y∂f−dxd∂y′∂f=0
Euler’s Method (1756)
Make partition between x0 and xn, with h=xj−xj−1=(b−a)/n. y1,y2,⋯,yn−1 are unknown variables.
By definition of Rieman Sum, I=n→∞limSn=n→∞limj=1∑nf(yj,yj′,xj)h By definition of derivatives yj′=(yj−yj−1)/h. Therefore the Rieman Sum is only function of yj,j∈{1,⋯,n}
For stationary I, ∂yk∂S=0,∀k∈{1,⋯,n} only two terms (kth and (k+1)th) are involved. Apply chain rule ∂yk∂S=h(∂yk∂f(yk,yk′,xk)+∂yk′∂f(yk,yk′,xk)ykyk′+∂yk+1′∂f(yk+1,yk+1′,xk+1)ykyk+1′)=h(∂yk∂f∣∣∣k+h1∂y′∂f∣∣∣k−h1∂y′∂f∣∣∣k+1)=h(∂yk∂f∣∣∣k−h∂y′∂f∣∣∣k+1−∂y′∂f∣∣∣k) As it is for all k, we can conclude that ∂y∂f−dxd∂y′∂f=0
Beltrami’s Identity
dxdf=∂y∂fy′+∂y′∂fdxdy′+∂x∂f=dxd(∂y′∂f)y′+∂y′∂fdxdy′+∂x∂f ∂x∂f=dxdf−dxd(∂y′∂fy′)=dxd(f−∂y′∂fy′) when f is independent of x, we have the Beltrami’s Identity: f−∂y′∂fy′=constant
Examples
Length of the curve on a plane I=∫ldl=∫l1+y′2dx Take into the Euler-Lagrange Equation 0=dxd1+y′2y′=1+y′2y′′1+y′2−1+y′2y′2y′′=(1+y′2)3/2y′′(1+y′2)−y′2y′′ Which implies y′′=0. Thus, the path that makes the length between two given point shortest is a segment of a line.
Brachistochrone Under gravity g, figure out the path x=x(y) between given points a and b, such that an object falls with the shortest time. T=∫abvdl=∫ab2gyx′2+1dy=2g1∫abyx′2+1dy Take into the Euler-Lagrange Equation (independent variable is y) 0=dydx′2+1yx′ So that we can find the part within the derivative should be a constant. For convenience, square it and denote it as y(x′2+1)x′2=2a1 Make a transformation x′=2a−yy Make substitution y=α(1−cosθ) and integrate. Without loss of generallity, fix initial point at (0,0), we get x=α(θ−sinθ) Which is exactly the parametric funtion for cycloid.
Lagrangian Mechanics
Lagrangian
Sometimes for system with conservation of energy and all potential force, we can obtain the equation of motion by dtdE=0. But with multiple degrees of freedom, this cannot work, which requires further technique.
D’Alembert’s Principle
In dynamics, F−ma=0. For virtual work δW=(F−ma)⋅δr=0 ∫t1t2δWdt=∫t1t2[F−dtd(mv)]δrdt For potential forces, ∫t1t2F⋅δrdt=−δ∫t1t2Udt For fixed initial and final problems, we have δr(t1)=δr(t2)=0. Thus −∫t1t2dtd(mv)δrdt=−mvδr∣∣∣t1t2+∫t1t2mvdtd(δr)dt=∫t1t2mvδvdt
Note: δ(x2)=2xδx
−∫t1t2dtd(mv)δrdt=δ∫t1t22mv2dt=δ∫t1t2Tdt Take them back into ∫t1t2δWdt, we have ∫t1t2δWdt=δ∫t1t2(T−U)dt=0 Define Lagrangian as L=T−U Define Action as A=S=∫t1t2Ldt
Generalized Coordinate
In Multi-objects system with multiple degree of freedom, Lagrangian may take the form of L=L(q1,q˙1,q2,q˙2,⋯,qn,q˙n,t) in which q1,q2,⋯,qn are generalized coordinates.
Each position vector is a function of generalized coordinates and maybe time ra=ra(q1,q2,⋯,qn,t)
Scleronomic: r is not time-dependent (nature).
Rheonomic: r is time-dependent (not nature).
Holonomic: The degree of freedom is the same as the number of coordinates needed to describe the system.
Nonholonomic: Ex. a ball rolls without sliding on a plane has 2 degree of freedom, but its orientation changes are not same when rolling along different paths.
For j∈{1,⋯,n}, define Generalized Momentum: Pj=∂q˙j∂L Generalized Force: Qj=∂qj∂L
Lagrange Equation and Hamilton’s Principle
D’Alembert’s Principle implies that the action A=∫t1t2Ldt should be stationary, which is called Hamilton’s Principle.
Apply the Euler-Lagrange Equation, we can obtain the Lagrange Equation ∂qj∂L−dtd∂q˙j∂L
Constraint System
Sometimes the system is constraint, like on some surface. For a virtual path from t1 to t2. R(t)=r(t)+ϵ(t),ϵ(t1)=ϵ(t2)=0 ϵ(t) is infinitesimal variation in the constraint surface. Therefore, δL=21m[(r˙+ϵ˙)2−r˙2]−[U(r+ϵ,t)−U(r,t)]=21m(2ϵ˙r˙+ϵ˙2)−(∇U⋅ϵ+O(ϵ2)) Omit all the higher order terms for infinitesimal variation ϵ(t), and note that −∇U is the non-conservative potential force F of the system. Thus, we have δL=mϵ˙r˙−F⋅ϵ
Hence, for the Action of the system δA=∫t1t2δLdt=∫t1t2(mϵ˙r˙−F⋅ϵ)dt=mr˙ϵ(t)∣∣∣t1t2−ϵ∫t1t2(mr¨−F)dt The first term is zero due to the boundary condition. The second term is equivalent to Fnet−F which is the constraint force of the system. As the constraint force is perpendicular to the surface. So ϵ⋅(Fnet−F) is zero as well.
Therefore, we have proved that for the constraint system the action is stationary.
Lagrange Multiplier
In the proof above, we assume that the generalized coordinates follows the contraint conditions. Ex. in simple pendulum, fix the length of the string and use θ represents the only degree of freedom. However, when constraint condition takes the form of constraint equation, we have to modify the Lagrange Equation with Lagrange Multiplier.
If there is serveral constraint ϕk(q1,q2,⋯,qn)=0, then the Lagrange Equation is modified as ∂qj∂L−dtd∂q˙j∂L+k∑λk∂qj∂ϕk=0
Interestingly, in this modified Lagrange Equation, λk∂qj∂ϕk is the contraint force in the particular coordinate qj.
Symmetry
Following two aspects of symmetry is known as Emmy Neother theorem (1915), which indicates that when action doesn’t change symmetry leads to conservation law.
Symmetry in Space
If we move every particle in a system by δx and the Lagrangian doesn’t change, the system is symmetric in space.
δL=∑∂x˙a∂Lδx˙+∑∂xa∂Lδx=∑∂xa∂Lδx
Use the Lagrange Equation, we have δxδL=∑(dtd∂x˙a∂L)=dtd(∑Pa)=0
Therefore, the total generalized momentum is constant.
Symmetry in Time
If the Lagrangian is not time-dependent
dL=∑∂q˙j∂Ldq˙j+∑∂qj∂Ldqj+∂t∂Ldt
Use the Lagrange Equation in the second term, we have −∂t∂L=∑(∂q˙j∂Ldtdq˙j+dtd∂q˙j∂Lq˙j)−dtdL=dtd(∑∂q˙j∂Lq˙j−L)=0
Define Hamiltonian as H=∑∂q˙j∂Lq˙j−L
If every object has a position vector independent from time, T is a second order homogeneous function for q˙1,q˙2,⋯,q˙n
If function f(x1,x2,⋯,xn) has the property f(kx1,kx2,⋯,kxn)=knf(x1,x2,⋯,xn) Then it is called homogeneous function with the order of n. And it’s proved that for this function ∑∂xj∂fxj=nf(x1,x2,⋯,xn)
H=∑∂q˙j∂Tq˙j−L=2T−T+U=E
Which implies the conservation of energy.
Electro-Magnetic Modification
ma=q(E+v×B) L=21mv2−q(ϕ−v⋅A)
Non-Inertia Frame of Reference
Translational Motion
The unit vectors don’t change. Thus, r=ro′+r′ Get time derivative of both sides, a=ao′+a′ Therefore, we have the Newton’s Second Law with the Inertial Force or Frictional Force ∑F−mao′=ma′
Tidal Motion
Ignore the rotation of the Earth.
Take the Earth as the Frame of Reference
mr¨=∑F−mao′=mg−Gs2Mmms^+GL2MmmL^+Fother
In which the third term is the inertial force. And we define Ftidal=−Gs2Mmms^+GL2MmmL^ The inertial force has fixed direction and fixed magnitude, so it is potential. Thus, all the potential energy: ∴UL=−GL2Mmmx=−GL2MmmRcosϕUg=mgh(ϕ)Us=−GsMmmmU=−GsMm−GL2MmRcosϕ+gh(ϕ) With Law of Cosine and Taylor Expansion s1=L1(1+(LR)2+2(LR)cosϕ)−21=L1{1+(−21)[(LR)2+2(LR)cosϕ]+83[(LR)2+2(LR)cosϕ]2}=L1{1−21(LR)2−(LR)cosϕ+23(LR)2cos2ϕ+O(LR)3} Take this back into mU, which should be a constant for the surface of ocean. mU=−GLMm+2L3GMmR2−2L33GMmR2cos2ϕ+gh(ϕ) Select h=0 at ϕ=90°, and substitute g=GMe/R2 h(ϕ)=2MeL33MmR4cos2ϕ
Rotational Motion
For rotational motion: v=ω×r
For a changing unit vector (for example i), we have i˙=(i˙⋅i)i+(i˙⋅j)j+(i˙⋅k)k
Note: i⋅i=1, derivative of both sides: 2i˙⋅i=0. Similarly, i˙⋅j=−j˙⋅i
Any position vector can express in two frames of reference (inertial and rotational) r=xi+yj+zk=x0i0+y0j0+z0k0
If r is constant (x˙=y˙=z˙=0), we have r˙=xi˙+yj˙+zk˙=x[(i˙⋅j)j+(i˙⋅k)k]+y[(j˙⋅i)i+(j˙⋅k)k]+z[(k˙⋅i)i+(k˙⋅j)j]=[(j˙⋅i)y+(k˙⋅i)z]i+[(i˙⋅j)x+(k˙⋅j)z]j+[(i˙⋅k)x+(j˙⋅k)y]k=[(k˙⋅i)z−(i˙⋅j)y]i−[(j˙⋅k)z−(i˙⋅j)x]j+[(j˙⋅k)y−(k˙⋅i)x]k Therefore, define Ω=(j˙⋅k,k˙⋅i,i˙⋅j) r˙=∣∣∣∣∣∣ij˙⋅kxjk˙⋅iyki˙⋅jz∣∣∣∣∣∣=Ω×r
Index Notation xlel is defined as l=1∑3xlel
If r is not constant, r˙=x˙lel+xle˙l. Therefore, for any vector r, we have:
Velocity: (assume the two frames of reference share the same origin) v=r˙∣∣in=r˙∣∣rot+Ω×r=vrot+Ω×r
Acceleration: (assume Ω is constant) a=v˙∣∣in=v˙∣∣rot+Ω×v=dtd(vrot+Ω×r)∣∣∣rot+Ω×(vrot+Ω×r)=arot+2Ω×vrot+Ω×(Ω×r)
Note: Ω×(Ω×r)=Ω(Ω⋅r)−r(Ω⋅Ω)=Ω2r∥−Ω2r=−Ω2r⊥ Which is known as the centripetal acceleration. 2Ω×vrot is known as the Coriolis acceleration.
Newton’s Second Law in non-inertial frame
∑F+2mvrot×Ω+mΩ2r⊥=marot
Ficticious forces/forces of inertial: Ffict=2mvrot×Ω+mΩ2r⊥
the first term is called the Coriolis force
the second term is called the centrifugal force.
E.x. of Coriolis force:
Cyclon
Foucalt Pendulum
Foucalt Pendulum
With the Newton’s Second Law: mx¨=−TLx+2my˙Ωcosθandmy¨=−TLy−2mx˙Ωcosθ Take T≈mg, and multiply the second expression by i and make it imaginary, we have η¨=−Lgη˙−2iΩcosθη,with η=x+iy
Denote ω12=g/L and ω22=Ωcosθ while ω2<<ω1
Therefore, we have the solution η=eiωt,with ω=−ω2±ω1[1+(ω1ω2)2]21≈−ω2±ω1(1+21ω12ω22)=−ω2±ω±21ω1ω22
For approximation, we have ω=−ω2±ω1. Thus η(t)=e−iω2t(C1eiω1t+C2e−iω1t)
If ω2=0 (ignore earth rotation), we have η~=C1eiω1t+C2e−iω1t=x~+iy~
Hence, [xy]=[cosω2t−sinω2tsinω2tcosω2t][x~y~] which is clearly a rotational matrix with angle ω2=Ωcosθ T′=ω22π=Ωcosθ2π=cosθT0,with T0=24h
Rigid Body Motion
Johan König (1712-1751) L=rcm×pcm+L′=Lorb+Lspin T=21Mr˙cm2+T′=Tcm+Trel In which T′=21∑mva2=21∑m(ω×ra)2
Note (a×b)2=a2b2−(a⋅b)2 T′=21∑m[ω2ra2−(ω⋅ra)2] Use the index notation, T′=21∑m[ωiωixajxaj−ωixaiωjxaj]=21∑mωiωj[δijxakxak−xaixaj] Define Iij=∑m(δijxakxak−xaixaj) we have T′=21Iijωiωj
Tensor of Inertia
In the last part, we defined the Tensor of Inertia I=⎣⎡∑m(y2+z2)−∑myx−∑mzx−∑mxy∑m(x2+z2)−∑mzy−∑mxz−∑myz∑m(x2+y2)⎦⎤ On the diagonal line, Ixx is called Moment of Inertia, while the others are called Product of Inertia.
Similar to the rotational kinetic energy, we have L′=IωandT′=21L′⋅ω
For integral, Iij=∭ρ(r)(δijxakxak−xaixaj)dxdydz
Principle Axis
For the Matrix of Tensor of Inertia, if we find the eigenvector ω~ of it Iω~=Iω~ then the direction of ω~ is the Principle Axis of the object, with the eigenvalue I as the Principle Moment of Inertia. The principle axis must exist, as the matrix of inertia tensor is symmetric and therefore orthogonally diagonalizable.
The Euler’s Equations
Let the rotational frame take the coordinates of the principle axes e1,e2,e3, with the moment of inertia I1,I2,I3 respectively. L=(I1ω1,I2ω2,I3ω3) Γ=dtdL∣∣∣in=dtdL∣∣∣rot+ω×L Then we get the Euler’s Equations ⎩⎪⎨⎪⎧Γ1=I1ω˙1−(I2−I3)ω2ω3Γ2=I2ω˙2−(I3−I1)ω3ω1Γ3=I3ω˙3−(I1−I2)ω1ω2 Use the tensor operator k=1∑3ϵijkIkω˙k−(Ii−Ij)ωiωj=k=1∑3ϵijkΓk
Types of Rigid Body
I1=I2=I3: Spherical
I1=I2=I3: Symmetrical
I1=I2<I3: Oblate symmetrical (disk shaped)
I3<I1=I2: Prolate symmetrical (cigar shaped)
I3<<I1=I2: Linear rotor
I1=I2=I3: Asymmetrical
Examples of motion
Type
Torque
Angular Velocity
Conclusion
Γ1=0,Γ2=Γ3=0
ω2=ω3=0
ω˙2=ω˙3=0
Spherical
Γ=0
ω=0
Symmetrical
Γ=0
ω˙3=0 and below
Asymmetrical
Γ=0
(ϵ1,ϵ2,ω)
below
Symmetrical Free: (Γ=0) By the Euler’s Equations ω˙1=Ωω2andω˙2=−Ωω1whereΩ=II−I3ω3 Solve it by η=ω1+iω2 and ignore phares ω=(∣η0∣cosΩt,−∣η0∣sinΩt,ω3) Particularly, (e3×ω)⋅L=0, which means these three vectors are coplanar.
Asymmetrical Free: (Γ=0) For a rotational motion w.r.t. the third principle axis with a little variation ω=(ϵ1,ϵ2,ω). With the Euler’s Equation, we have ω≈constantwithϵ˙1=I1I2−I3ωϵ2andϵ˙2=I2I3−I1ωϵ1 Take the time derivative to the third equation and substitute by the second equation, we get ϵ¨2=I1I2(I3−I1)(I2−I3)ω2ϵ2
I3<I1,I2 or I3>I1,I2: oscillation, stable
I1<I3<I2: exponentially growth, instable
Euler’s Angle
A way to describe the orientation of object by rotation from the lab frame
Rotate around z-axis by ϕ
Rotate around new x-axis by θ
Rotate around new z-axis by ψ
Mathematically, we have the transformation from the lab frame coordinates ⎣⎡xyz⎦⎤=⎣⎡cosψ−sinψ0sinψcosψ0001⎦⎤⎣⎡1000cosθ−sinθ0sinθcosθ⎦⎤⎣⎡cosϕ−sinϕ0sinϕcosϕ0001⎦⎤⎣⎡xLyLzL⎦⎤
Therefore, ω=ϕ˙+θ˙+ψ˙
In the there step, we have three rotation. Transform there angular velocity individually into the final rotational frame and add the results together, we get ω=(ϕ˙sinθsinψ+θ˙cosψ,ϕ˙sinθcosψ−θ˙sinψ,ϕ˙cosθ+ψ˙)
Hamiltonian Dynamics
Legendre Transformation
For a function f(x,y), if we choose a new independent variable u=∂f/∂x, and write x=x(u,y). Now introduce a new function g(u,y)=ux(u,y)−f(x(u,y),y) Therefore, ∂u∂g=x+u∂u∂x−∂x∂f∂u∂x=x ∂y∂g=u∂y∂x−∂x∂f∂y∂x−∂y∂f=−∂y∂f Thus, dg=xdu−∂y∂fdy
Hamiltonian
From Lagrangian Mechanics dL=∑∂q˙j∂Ldq˙j+∑∂qj∂Ldqj+∂t∂Ldt,∂q˙j∂L=pj Follow the Legendre Transformation (q˙j→pj), define Hamiltonian as H(pj,qj,t)=∑pjqj−L(q˙j,qj,t) And therefore dH=∑q˙jdpj+∑∂qj∂Ldqj−∂t∂Ldt which implies ∂pj∂H=q˙j∂qj∂H=−∂qj∂L∂t∂H=−∂t∂L
Dynamics
From the Lagrange Equations ∂qj∂L=dtd∂q˙j∂L Bring this into the derivatives of Hamiltonian, we get the equation of motion for Hamiltonian: Canonical Equations q˙j=∂pj∂Hp˙j=−∂qj∂H
Hence, dtdH=∑∂qj∂H∂pj∂H−∑∂pj∂H∂qj∂H+∂t∂H=∂t∂H If H is independent of t, Hamiltonian is conserved. In scleronomic system, energy is constant.
For a function f=f(q,p,t), we have dtdf=∑∂qj∂f∂pj∂H−∑∂pj∂f∂qj∂H+∂t∂f=[f,H]+∂t∂f
Note: Poissom’s Bracket [f,g]=∑(∂qj∂f∂pj∂g−∂pj∂f∂qj∂g) Jacobi Identity: [[f,g],h]+[[h,f],g]+[[g,h],f]=0 Poissom’s Theorem: if f,g are constant w.r.t. time and is not explicit dependent on time, [f,g]=constant
If f,g is constant w.r.t. time and is not explicit dependent on time, then [g,H]=[f,H]=0[[f,g],H]+[[H,f],g]+[[g,H],f]=0
Lagrangian from Hamiltonian
For H=p2/2m+A(q)p+B(q), we can obtain p=m[q˙−A(q)] from the Hamiltonian Equations. Therefore, L=pq˙−H=2m[q˙−A(q)]2−B(q)
Continuity Equation
From fluid dynamics, For a infinitesimal cube with volume dτ=dxdydz, ∂t∂dm=∂t∂ρdt=dt∂t∂ρ
For fluid travels from face A to face B (opposite sides), with Taylor expansion, we have (ρvx)B=(ρvx)A+∂x∂(ρvx)dx and therefore ΔdmA−ΔdmB=−∂x∂(ρvx)dτdt Similarly for the other two pairs of faces, so dtdm=−∇⋅(ρv)dτ From another aspect, any geometric shape G dtdm=−∭G∂t∂ρdτ when reduced to infinitesimal cube, we can get the continuity equation ∂t∂ρ+∇⋅(ρv)=0 With divergence theorem ∂t∂ρ=−∬Sρv⋅dA
Liouville’s Theorem
Imagine N copies of system in p-q 2N dimensional space form a “gas” following the continuity equation (N→∞) ∂t∂ρ+j∑(∂qj∂(ρq˙j)+∂pj∂(ρp˙j))=0,where ρ=volumenumber of points By the product law ∂t∂ρ+j∑(∂qj∂ρq˙j+∂pj∂ρp˙j+ρ(∂qj∂q˙j+∂pj∂p˙j))=0 From the Hamiltonian Equation, the third term in the summation vanishes, and the first two terms change into a Poissom’s Bracket ∂t∂ρ+[ρ,H]=0=dtdρ With the evolusion of the system, the points occupy the same spacial “volume” in the p-q space.
Material Derivative
Stream Line is a continuous line that a particle travels, following the velocity field. Derivative w.r.t. time along the stream line is called Material Derivative.
For function ϕ(r,t), the partial derivative w.r.t. time is ∂t∂ϕ=dtϕ(r,t+dt)−ϕ(r,t) but the Material Derivative should be DtDϕ=dtϕ(r+vdt,t+dt)−ϕ(r,t)=(v⋅∇)ϕ+∂t∂ϕ The expression is same when ϕ is a vector-value function.
For fluid dynamics, we can write the acceleration and the continuity equation as a=DtDvDtDρ+ρ∇⋅v=0
Fluid Dynamic
With dτ=dxdydz, the Newton’s Second Law dma=dFnet→ρa=fnet,wherefnet=dτdFnet For force due to pressure or gravity, we have fp=−∇pfg=ρg Therefore, we get the Euler’s Equation for fluid ρ(v⋅∇)ϕ+ρ∂t∂v=−∇p+ρg
Emmy Neother’s Theorem
For symmetry, i.e. spacial or time shifting with the action stays still
dq~j=dqj+ϵdψj=dqj+ϵdtdψjdt dt~=dt+ϵdχ=(1+ϵdtdχ)dt Therefore, with the Taylor Expansion to the first order, dt~dq~j=(q˙j+ϵdtdψj)(1−ϵdtdχ)=q˙j(1−ϵdtdχ)+ϵdtdψj Omit subscript j, write the action of the system S~=∫t~1t~2L(q~,q˙~,t~)dt~=∫t1t2L(q~,q˙~,t~)(1+ϵdtdχ)dt=∫t1t2L(q+ϵψ,q˙+ϵ(dtdχ−q˙dtdχ),t+ϵχ)(1+ϵdtdχ)dt where the second term is the substitution of dq~/dt. Thus, S~−S=ϵ∫t1t2[∂q∂Lψ+∂q˙∂Ldtdψ−∂q˙∂Lq˙dtdχ+∂t∂Lχ+Ldtdχ]dt
Use the integral by part, we can deal with several terms, ∫t1t2∂q˙∂Ldtdψdt=∂q˙∂Lψ∣∣∣t1t2−∫t1t2dtd(∂q˙∂L)ψdt ∫t1t2∂q˙∂Lq˙dtdχdt=∂q˙∂Lq˙χ∣∣∣t1t2−∫t1t2dtdLχdt ∫t1t2Ldtdχdt=Lχ∣∣∣t1t2−∫t1t2dtdLχdt
Take these together, and for the contant action, we have 0=ϵS~−S=[∂q˙∂Lψ−∂q˙∂Lq˙χ+Lχ]t1t2+∫t1t2ψ(∂q∂L−dtd∂q˙∂L)dt+∫t1t2χ(dtd(q˙∂q˙∂L)+∂t∂L−dtdL)dt From the Lagrangian Equation, we can prove that the integral term equals to zero. Hence,
[∂q˙∂Lψ−∂q˙∂Lq˙χ+Lχ]t1t2=0 which can be rewrited as the Emmy Neother’s Theorem (1915) Hχ+∑pψ=constant