Variational Principles Flashcards
What are 2 things which variational principles give us?
- Let us extremise quantities such as path lengths or functions
- Give us global view of path a system adapts e.g. to minimise time taken to get from A to B
What is the lifeguard example of a variational principle?
Want to rescue swimmer so need to take quickest path, which is not necessarily a straight line to swimmer, and you are slower in the water.
What is the optics example of a variational principle?
Light does not travel in a straight line, it extremises the optical path.
What is Fermat’s principle?
total optical path length L = integral of n(r) ds, where n is the refractive index, r is the position and s is the unit of length.
What are the steps to derive Snells law using variational principals?
- Path length of light = n1d1+n2d2, where d is the length of the path
- Use pythagoras to split d into h and x
- Look for minima in L as we vary x by finding dL/dx and set = 0
- Use trig to find sin terms
- Snells law
How do we find the actual path something takes when it moves from A to B?
A = integral of L dt, where L is the Lagrangian
State Hamilton’s principle.
Of all the possible paths along which a dynamical system may move from one point to another within a specified time interval, the actual path followed is that which minimises the time integral of the difference between the kinetic and potential energies.
What is the classical mechanics example of the Lagrangian?
L = T-V
What is the relativistic motion example of the Lagrangian?
L = -m0c^2/γ = -m0c^2*sqrt(1-(v^2/c^2))
What is a good example of minimising the path A?
Mass m, moving in 1D, under influence of gravity. Launched upwards at time t=0 from x=0.
What are the first two steps in minimising the path A for the mass under gravity problem?
- Find the Lagrangian (T-V = 1/2mv^2 - mgx)
- Define start and end position: x(t=0) = 0, x(t=τ) = X
What are the 3rd and 4th steps in minimising the path A for the mass under gravity problem?
- Construct path that satisfies boundary conditions and is physical: e.g. x(t) = X/τ * t, so try x(t) = X/τ * t + b(τ-t)t
- Use x(t) to get Lagrangian (by differentiating x(t) to get velocity)
What are the 5th and 6th steps in minimising the path A for the mass under gravity problem?
- Use L to get A by integrating from 0 to τ
- Minimise A by finding the constant b which minimises the action (set dA/db = 0 and rearrange for b), then sub b back in