2.1.19 · D1Analytical Mechanics

Foundations — Principle of least action — Hamilton's principle derivation

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This page is the toolbox for the parent derivation. Nothing here is assumed — we start below zero.


0. The absolute starting point: a moving thing has a position

Picture a bead sliding along a wire. At each moment in time it sits somewhere. That "somewhere" is a single number if the wire is a straight track.

Figure — Principle of least action — Hamilton's principle derivation

Look at the blue curve above: the horizontal axis is time , the vertical axis is position . A single dot is "where the bead is at that instant". String all the dots together and you get a path.


1. A path is a function

Related deeper ideas live in Newton's Second Law and Lagrangian Mechanics.


2. Speed: the derivative

The bead isn't just somewhere; it's moving. How fast?

Figure — Principle of least action — Hamilton's principle derivation

The orange line is the tangent — its slope is at that instant. This slope is the ingredient the later energies feed on; it is nothing more than "slope of the position curve".


3. Two energies: kinetic and potential

Figure — Principle of least action — Hamilton's principle derivation

The green valley is ; the red arrow shows the force pointing downhill, i.e. toward smaller . That single picture is why .


4. The Lagrangian — one number per instant


5. The integral — adding up over the whole trip

Figure — Principle of least action — Hamilton's principle derivation

The shaded area is the integral. Change the path and changes, so the area changes — that changing area is the action.


6. The action — a functional


7. Varying the path: , , and

Figure — Principle of least action — Hamilton's principle derivation

The blue curve is the true path; the dashed orange curves are wiggled versions , all pinned at the two red endpoints. The right panel shows as a function of the knob : at the true path () the curve is flat — that flatness is .


How it all feeds the topic

time t

path is a function q of t

instantaneous value q at time t

derivative q-dot the slope

kinetic energy T

potential energy V

Lagrangian L equals T minus V

integral adds L over the trip

action S a functional

vary the path with eta and epsilon

stationary delta S equals zero

Euler Lagrange equation

Hamilton principle derivation

Related destinations once you have these tools: Hamiltonian Mechanics, Noether's Theorem, Fermat's Principle, Feynman Path Integral.


Equipment checklist

Does the function (the path) mean a whole curve or a single value?
The whole curve — the complete history over time.
Does the value mean a whole curve or a single number?
A single number — the position at the one instant .
What picture is the derivative ?
The slope (steepness) of the position-vs-time curve at an instant.
What does a partial derivative measure?
The rate of change of when only is nudged and all other inputs are held frozen.
Why is always ?
Because is a square, and squares are never negative.
In one line, what is the force in terms of ?
Minus the slope of the potential, (points downhill).
Is equal to or ?
— the combination that reproduces Newton.
What does the integral picture as?
The area under the -versus- curve over the trip.
How is a functional different from a function?
A functional eats a whole function and returns one number; a function eats a number.
What smoothness must the wiggle have, and why?
(continuous with a continuous derivative), so its slope exists and integration by parts works.
What must satisfy at the endpoints and why?
, because the endpoints are fixed data and can't move.
What does mean geometrically?
The action is flat (stationary) under tiny path nudges — like the bottom of a valley.
Does "stationary" guarantee a minimum?
No — it can be a minimum, maximum, or saddle.