This is the heart of the chapter. We build everything from scratch.
Setup (WHAT). Take the true path q(t) and perturb it:
qε(t)=q(t)+εη(t)
where η(t) is an arbitrary smooth "wiggle" and ε is a small number.
Step 1 — Write the action of the varied path.S(ε)=∫t1t2L(q+εη,q˙+εη˙,t)dtWhy this step? The true path corresponds to ε=0. Stationarity means S(ε) has a flat tangent there: dεdSε=0=0.
Step 2 — Differentiate under the integral (chain rule).dεdS=∫t1t2(∂q∂Lη+∂q˙∂Lη˙)dtWhy this step?L depends on ε only through q+εη and q˙+εη˙. Chain rule gives factors ∂qε/∂ε=η and ∂q˙ε/∂ε=η˙.
Step 3 — Integrate the second term by parts. This is the crucial move: it converts η˙ into η so we can factor η out.
∫t1t2∂q˙∂Lη˙dt==0[∂q˙∂Lη]t1t2−∫t1t2dtd(∂q˙∂L)ηdtWhy this step? The boundary term vanishes becauseη(t1)=η(t2)=0. That's why endpoint-fixing mattered.
Step 5 — Apply the Fundamental Lemma of Calculus of Variations. Since η(t) is arbitrary, the bracket must vanish at every t (if it were nonzero anywhere, pick an η bumped there and the integral wouldn't be zero).
Take a 1D particle: T=21mx˙2, V=V(x), so L=21mx˙2−V(x).
∂x˙∂L=mx˙ ⟹ dtd(∂x˙∂L)=mx¨
∂x∂L=−dxdV=F
Euler–Lagrange: mx¨−F=0⇒mx¨=F. ✅ Newton's second law falls out.Why this matters: it proves L=T−V was the right choice and that Hamilton's principle is equivalent to Newtonian mechanics.
Imagine you're walking from home to school and you have a "tiredness score" you collect along the way. The score adds up your running energy but subtracts a bonus you get for being in nice low places. Out of every possible route and pace, you naturally take the one whose total score can't be lowered by any tiny tweak — nudging the path a little doesn't change the score at all (it's "flat" at the bottom, like the bottom of a valley). That special "flat" route is the path nature picks, and when you do the math, it turns out to be exactly the same as obeying push-and-pull forces. One lazy rule replaces a thousand force calculations.
Dekho, Newton ki mechanics bolti hai ki har instant pe force batata hai ki particle kaise accelerate karega. Lekin Hamilton ka principle ek alag, zyada elegant kahani sunata hai: poora ka poora path jo system start se end tak leta hai, wahi path choose hota hai jo ek single number — actionS=∫(T−V)dt — ko stationary bana de. Yaani path ko thoda sa idhar-udhar hilao to action mein first-order change zero ho jata hai. Isi liye isko "least action" kehte hain, par sach mein "stationary action" zyada accurate hai.
Derivation ka core simple hai. True path ko thoda perturb karo: q+εη, jahan η ek arbitrary wiggle hai jo endpoints pe zero hai (kyunki start aur end fixed hain). Phir action ko ε ke respect mein differentiate karo, chain rule lagao, aur jo η˙ wala term aata hai usko by parts integrate karo. By-parts ke baad ek boundary term aata hai jo endpoints pe η=0 hone ki wajah se mar jaata hai. Bachta hai ∫[…]ηdt=0, aur kyunki η arbitrary hai, woh bracket har time zero hona chahiye. Yahi hai Euler–Lagrange equation: dtd(∂L/∂q˙)−∂L/∂q=0.
Sabse pyaari baat: agar L=21mx˙2−V(x) daalo, to EL equation seedha mx¨=−V′=F de deta hai — yaani Newton ka F=ma wapas aa jaata hai! Iska matlab Hamilton's principle Newtonian mechanics ke barabar hai, bas ek scalar (energy) ki bhasha mein. Yaad rakhna: Lagrangian T−V hota hai (minus), T+V nahi — woh to conserved energy hai jo baad mein Hamiltonian ban jaata hai. Yeh principle aage chal ke Lagrangian/Hamiltonian mechanics, optics (Fermat), aur quantum mechanics (Feynman path integral) tak le jaata hai, isi liye yeh poori advanced physics ki neev hai.