Example:
earth rotating around the sun
place (nominal mass) object in between at nominal point close to the sun
measure the net gravitational pull (assume its toward the sun)
calculate the orbital velocity required to balance this with centripetal force
orbit time should be less than the earths
move object closer to the earth until the required orbit time matches the earth
this is one of the legrange points of this system
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Additional notes:
1. This is a L1 lagrange point (there are 5 such points on this type of arrangement).
2. The centre of gravity of the earth / sun system should be taken into account
when calculating the orbital velocity from : v = sq root ( r * net gravity)
Net gravity calcs are from sun / earth centres, but the orbital radius (r) of the object is measured from the centre of gravity of the sun / earth system.
The Lagrangian formulation for a rotating pendulum involves using the Lagrangian function to describe the system's motion. This function takes into account the kinetic and potential energy of the pendulum as it rotates, allowing for the equations of motion to be derived using the principle of least action.
Lagrangian (L) summarizes the dynamics of the system.Generally, in classical physics, the Lagrangian is defined as follows:L=T-Vwhere T is kinetic energy of the system and V is its potential energy. If the Lagrangian of a system is has been defined, then the equations of motion of the system may also be obtained.
Lagrangian constraints are used in optimization problems to incorporate constraints into the objective function, allowing for the optimization of a function subject to certain conditions.
The Lagrangian for a particle moving on a sphere is the kinetic energy minus the potential energy of the particle. It takes into account the particle's position and velocity on the sphere.
Some examples of the application of Lagrangian dynamics in physics include the study of celestial mechanics, the analysis of rigid body motion, and the understanding of fluid dynamics. The Lagrangian approach provides a powerful and elegant framework for describing the motion of complex systems in physics.
In lagrangian we use scalar quantity which is much easier to solve then vector quantites used in newtonian.also lagrangian is invariant under gauge transformation and the same not hold good for newtonian.
If a coordinate is cyclic in the Lagrangian, then the corresponding momentum is conserved. In the Hamiltonian formalism, the momentum associated with a cyclic coordinate becomes the generalized coordinate's conjugate momentum, which also remains constant. Therefore, if a coordinate is cyclic in the Lagrangian, it will also be cyclic in the Hamiltonian.
To transform the Lagrangian of a system into its corresponding Hamiltonian, you can use a mathematical process called the Legendre transformation. This involves taking the partial derivative of the Lagrangian with respect to the generalized velocities and then substituting these derivatives into the Hamiltonian equation. The resulting Hamiltonian function represents the total energy of the system in terms of the generalized coordinates and momenta.
In fluid dynamics, Eulerian fluids are described based on fixed points in space, while Lagrangian fluids are described based on moving particles. Eulerian fluids focus on properties at specific locations, while Lagrangian fluids track individual particles as they move through the fluid.
In classical mechanics, the Hamiltonian can be derived from the Lagrangian using a mathematical process called the Legendre transformation. This transformation involves taking the partial derivatives of the Lagrangian with respect to the generalized velocities to obtain the conjugate momenta, which are then used to construct the Hamiltonian function. The Hamiltonian represents the total energy of a system and is a key concept in Hamiltonian mechanics.
A function constructed in solving economic models that include maximization of a function (the "objective function") subject to constraints. It equals the objective function minus, for each constraint, a variable "Lagrange multiplier" times the amount by which the constraint is violated. In physical terms, a Lagrangian is a function designed to sum up a whole system; the appropriate domain of the Lagrangian is a phase space, and it should obey the so-called Euler-Lagrange equations. The concept was originally used in a reformulation of classical mechanics known as Lagrangian mechanics. In this context, the Lagrangian is commonly taken to be the kinetic energy of a mechanical system minus its potential energy. The concept has also proven useful as extended to quantum mechanics.
The Lagrangian method in economics is used to optimize constrained optimization problems by incorporating constraints into the objective function. This method involves creating a Lagrangian function that combines the objective function with the constraints using Lagrange multipliers. By maximizing or minimizing this combined function, economists can find the optimal solution that satisfies the constraints.