Unit I – Lagrangian Formulation

Mechanics of a System of Particles, Lagrangian Formulation
Detailed notes on mechanics of a system of particles and introduction to Lagrangian formulation.
Velocity-Dependent Potentials and Dissipation Function
Explanation of velocity-dependent potentials, Rayleigh dissipation function, and applications.
Conservation Theorems and Symmetry Properties
Discussion on symmetry principles leading to conservation of energy, momentum, and angular momentum.
Homogeneity and Isotropy of Space
Homogeneity of space leads to conservation of linear momentum; isotropy of space leads to conservation of angular momentum.
Homogeneity of Time and Conservation of Energy
Homogeneity of time corresponds to conservation of energy.
Calculus of Variations and Euler-Lagrange’s Equation
Proof of Euler–Lagrange Equation

Proof / Derivation of Euler–Lagrange Equation

Let all possible paths between \(A\) and \(B\) such as \(y_1, y_2, y_3, y_4, \dots\) be represented by a family of curves or paths:

\( y(x,\alpha) = y(x) + \alpha \, \eta(x) \)

Then:

  1. \( \dfrac{\partial y}{\partial \alpha} = \dfrac{\partial}{\partial \alpha} \big(y(x)+\alpha \eta(x)\big) = \eta(x) \)
  2. \( \dfrac{\partial y'}{\partial \alpha} = \dfrac{\partial}{\partial \alpha} \left(\dfrac{\partial y}{\partial x}\right) = \eta'(x) \)
  3. \( \dfrac{\partial x}{\partial \alpha} = 0 \)
  4. At \(x_1:\; y(x_1,\alpha) = y(x_1)+\alpha \eta(x_1)\;\Rightarrow\; \eta(x_1)=0\).
  5. At \(x_2:\; y(x_2,\alpha) = y(x_2)+\alpha \eta(x_2)\;\Rightarrow\; \eta(x_2)=0\).

Derivation

Now let \( f = f(y(x,\alpha), y'(x,\alpha), x) \).

\( I = \int_{x_1}^{x_2} f(y(x,\alpha), y'(x,\alpha), x) \, dx \)

Since \(I\) depends on \(\alpha\), for extremum values we require:

\[ \frac{\partial I}{\partial \alpha} = \int_{x_1}^{x_2} \left[ \frac{\partial f}{\partial y}\frac{\partial y}{\partial \alpha} + \frac{\partial f}{\partial y'}\frac{\partial y'}{\partial \alpha} + \frac{\partial f}{\partial x}\frac{\partial x}{\partial \alpha} \right] dx = 0 \]

Substituting the results:

\[ \frac{\partial I}{\partial \alpha} = \int_{x_1}^{x_2} \left[ \frac{\partial f}{\partial y}\eta(x) + \frac{\partial f}{\partial y'} \eta'(x) \right] dx \]

Integrating the second term by parts:

\[ \int_{x_1}^{x_2} \frac{\partial f}{\partial y'} \eta'(x) \, dx = \left[ \frac{\partial f}{\partial y'} \eta(x) \right]_{x_1}^{x_2} - \int_{x_1}^{x_2} \frac{d}{dx}\left(\frac{\partial f}{\partial y'}\right)\eta(x)\, dx \]

Since \(\eta(x_1) = \eta(x_2) = 0\):

\[ \frac{\partial I}{\partial \alpha} = \int_{x_1}^{x_2} \left[ \frac{\partial f}{\partial y} - \frac{d}{dx}\left(\frac{\partial f}{\partial y'}\right) \right] \eta(x) \, dx = 0 \]

Because \(\eta(x)\) is arbitrary, the integrand must vanish:

\[ \frac{d}{dx}\left(\frac{\partial f}{\partial y'}\right) - \frac{\partial f}{\partial y} = 0 \]

This is the Euler–Lagrange equation.

Brachistochrone Problem
Explanation of the Brachistochrone problem as a classic application of variational calculus.
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