Euler–Lagrange equation and standard functionals
Why this is asked: Write the Euler–Lagrange equation; use the Beltrami identity when F has no explicit x. Terms that are exact derivatives (null Lagrangians) do not change the extremals.
The equation
For ᵇ F(x, y, y′) dx with fixed endpoints: dx
Two first integrals
- F independent of const (momentum conservation).
- F independent of x ⇒ **Beltrami const (energy conservation).
Standard functionals
| J[y] | Euler–Lagrange | Extremals |
|---|---|---|
| y″ = 0 | straight lines | |
| arc length) | y″ = 0 | straight lines |
| brachistochrone) | — | cycloid |
| surface of revolution) | — | catenary |
| y″ + y = 0 | sines | |
| d/dx |
Null Lagrangians — the trap
A term that is a total derivative d/dx G(x, y) contributes only boundary terms and does not affect the Euler–Lagrange equation. In |y|y′ + xy] dx the middle term is −d/dx(|y|, so the equation reduces to 2y″ = x.
Several unknowns and constraints
- Vector case: one Euler–Lagrange equation per component. For and 2z″ + y″ = 0 ⇒ y″ = z″ = 0.
- **Isoperimetric constraint: extremise ; the multiplier is fixed by the constraint.
- Higher derivatives: dxdx.
Weak vs strong extrema
A weak minimum compares y′ too neighbourhood); a strong minimum only compares neighbourhood has y ≡ 0 as a weak minimum but not a strong one — in ball, y′ can be huge and make J negative.
Key takeaways
- No x ⇒ Beltrami; no y ⇒ momentum constant.
- Exact-derivative terms drop out of the Euler–Lagrange equation.
- Weak vs strong extremum is decided by which norm the neighbourhood uses.
See it move
The trap here
“A weak minimum of a functional is a strong minimum” — false
dx at y ≡ 0
In the ball the integrand is non-negative so J ≥ 0; in the ball a steeply oscillating small y makes J negative.
Next: Isoperimetric problems
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Open this in the full syllabus view · Unit 3