1 / 11

Sect. 1.6: Simple Applications of the Lagrangian Formulation

Sect. 1.6: Simple Applications of the Lagrangian Formulation. Lagrangian formulation: 2 scalar functions , T & V Newtonian formulation: MANY vector forces & accelerations. ( Advantage of Lagrangian over Newtonian! ) “Recipe” for application of the Lagrangian method:

brody
Download Presentation

Sect. 1.6: Simple Applications of the Lagrangian Formulation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Sect. 1.6: Simple Applications of the Lagrangian Formulation • Lagrangian formulation: 2scalar functions,T & V • Newtonian formulation:MANYvector forces & accelerations. (Advantage of Lagrangian over Newtonian!) • “Recipe” for application of the Lagrangian method: • Choose appropriate generalized coordinates • Write T & V in terms of these coordinates • Form the LagrangianL = T - V • Apply: Lagrange’s Eqtns: (d/dt)[(L/qj)] - (L/qj) = 0(j = 1,2,3, … n) • Equivalently D’Alembert’s Principle: (d/dt)[T/qj] - (T/qj) = Qj(j = 1,2,3, … n)

  2. Sometimes, T & V are easily obtained in generalized coordinates qj& velocities qj& sometimes not. If not, write in Cartesian coordinates & transform to generalized coordinates. Use transformation eqtns: ri = ri (q1,q2,q3,.,t) (i = 1,2,3,…n)   vi (dri/dt) = ∑j(ri/qj)(dqj/dt) + (ri/t)  T  (½)∑imi(vi)2 = (½)∑imi[∑j(ri/qj)(dqj/dt) + (ri/t)]2 • Squaring gives: T = M0 + ∑jMjqj + ∑jMjkqjqk M0  (½)∑imi(ri/t)2, Mj  ∑imi(ri/t)(ri/qj) Mjk ∑imi(ri/qj)(ri/qk)

  3. Always:T = M0 + ∑jMjqj + ∑jMjkqjqk Or: T0 +T1 + T2 T0  M0independent of generalized velocities T1  ∑jMjqjlinear in generalized velocities T2  ∑jMjkqjqk quadratic in generalized velocities NOTE: From previous eqtns, if (ri/t) = 0 (if transformation eqtns do not contain time explicitly), then T0 = T1 = 0  T = T2  If the transformation eqtns from Cartesian to generalized coords do not contain the time explicitly, the kinetic energy is a homogeneous, quadratic function of the generalized velocities.

  4. Examples • Simple examples (for some, the Lagrangian method is “overkill”): 1. A single particle in space (subject to force F): a. Cartesian coords b. Plane polar coords. 2. The Atwood’s machine 3. Time dependent constraint: A bead sliding on rotating wire

  5. Particle in Space (Cartesian Coords) • The Lagrangian method is “overkill” for this problem! • Mass m, force F: Generalized coordinates qj are Cartesian coordinates x, y, z! q1 = x, etc. Generalized forces Qjare Cartesian components of force Q1 = Fx, etc. • Kinetic energy: T = (½)m[(x)2 + (y)2 + (z)2] • Lagrange eqtns which contain generalized forces (D’Alembert’s Principle): (d[T/qj]/dt) - (T/qj) = Qj(j = 1,2,3 or x,y,z)

  6. T = (½)m[(x)2 + (y)2 + (z)2] (d[T/qj]/dt) - (T/qj) = Qj (j = 1,2,3 or x,y,z) (T/x) = (T/y) = (T/z) = 0 (T/x) = mx, (T/y) = my, (T/z) = mz d(mx)/dt = mx = Fx ; d(my)/dt = my = Fy d(mz)/dt = mz = Fz Identical results (of course!) to Newton’s 2nd Law.

  7. Particle in Plane (Plane Polar Coords) • Plane Polar Coordinates: q1 = r, q2 = θ • Transformation eqtns: x = r cosθ, y = r sinθ  x = r cosθ – rθsinθ y = r sinθ+ rθcosθ Kinetic energy: T = (½)m[(x)2 + (y)2] = (½)m[(r)2 + (rθ)2] Lagrange: (d[T/qj]/dt) - (T/qj) = Qj (j = 1,2 or r, θ) Generalized forces: Qj ∑iFi(ri/qj)  Q1 = Qr = F(r/r) = Fr = Fr Q2 = Qθ= F(r/θ) = Frθ = rFθ

  8. T = (½)m[(r)2 + (rθ)2] Forces:Qr = Fr , Qθ= rFθ Lagrange: (d[T/qj]/dt) - (T/qj) = Qj(j = r, θ) • Physical interpretation:Qr = Fr = radial force component. Qr = Fr = radial component of force. Qθ= rFθ = torque about axis  plane through origin • r: (T/r) = mr(θ)2; (T/r) = mr; (d[T/r]/dt) = mr  mr - mr(θ)2 = Fr (1) • Physical interpretation: - mr(θ)2 = centripetal force • θ: (T/θ) = 0; (T/θ) = mr2θ; (Note: L = mr2θ) (d[T/θ]/dt) = mr2θ + 2mrrθ = (dL/dt) = N  mr2θ + 2mrrθ= rFθ(2) • Physical interpretation:mr2θ = L = angular momentum about axis through origin  (2)  (dL/dt) = N = rFθ

  9. Atwood’s Machine • M1 & M2 connected over a massless, frictionless pulley by a massless, extensionless string, length . Gravity acts, of course!  Conservative system, holonomic, scleronomous constraints • 1 indep. coord. (1 deg. of freedom). Position x of M1. Constraint keeps const. length . • PE:V = -M1gx - M2g( - x) • KE:T = (½)(M1 + M2)(x)2 • Lagrangian:L =T-V = (½)(M1+M2)(x)2-M1gx- M2g( - x)

  10. L = (½)(M1+M2)(x)2-M1gx- M2g( - x) • Lagrange:(d/dt)[(L/x)] - (L/x) = 0 (L/x) = (M2 - M1)g ; (L/x) = (M1+M2)x  (M1+M2)x = (M2 - M1)g Or: x = [(M2 - M1)/(M1+M2)] g Same as obtained in freshman physics! • Force of constraint = tension. Compute using Lagrange multiplier method (later!).

More Related