A polymer is a random walk with N steps
The simplest model of a polymer — the freely-jointed chain — treats it as N rigid bonds of fixed length b, each pointing in a completely random, uncorrelated direction. It ignores chemistry entirely: no bond angles, no steric clashes, no solvent. Despite that, it gets the single most important scaling law in polymer physics right, which is why it is still the first model every course teaches.
Root-mean-square end-to-end distance
Because each bond vector is independent and random, the cross terms in the end-to-end vector average to zero, exactly as they do for ordinary Brownian motion. What survives is a simple sum of squared bond lengths:
R = ∑ bⁱ (end-to-end vector, sum of N bond vectors) ⟨R²⟩ = N·b² (freely-jointed chain, ideal/theta conditions) R_rms = b·√N (grows as the SQUARE ROOT of chain length)
The √N scaling is the headline result: double the number of monomers and the coil's typical size grows by only √2 ≈ 1.41×, not 2×. A polymer coil is a fractal, sparse object — most of the volume it spans is solvent, not chain.
Radius of gyration and what an experiment actually measures
You cannot directly see the two chain ends in a real sample, so experiments (light scattering, SANS, viscometry) report the radius of gyration R_g, the root-mean-square distance of every monomer from the chain's centre of mass. For an ideal chain it is related to R² by a clean numerical factor:
⟨R_g²⟩ = ⟨R²⟩ / 6 = N·b² / 6 (ideal chain) R_g ~ N⊃ν (real chain, ν the Flory exponent)
That second line generalises the result to chains where the freely-jointed assumption breaks down.
Excluded volume and the Flory exponent
Real monomers cannot occupy the same point in space — a chain cannot cross itself. In a good solvent (one that prefers contact with the polymer over contact with itself) this excluded-volume effect systematically swells the coil beyond the ideal √N prediction. Paul Flory's mean-field argument balances two competing free energies: the entropic cost of stretching the chain against the repulsive energy of overlapping monomers, and minimising their sum gives a single exponent that has proven remarkably accurate:
R ~ Nν ν = 3/5 good solvent (Flory's mean-field value; renormalisation group: ν ≈ 0.588) ν = 1/2 theta solvent (ideal chain — excluded volume exactly cancelled by solvent) ν = 1/3 poor solvent (chain collapses into a dense globule)
The theta point is the special temperature at which monomer-monomer and monomer-solvent interactions balance so perfectly that the chain behaves as if excluded volume did not exist, recovering the ideal ν = 1/2 scaling even though individual monomers still physically exclude each other — a remarkable cancellation, not an approximation.
Why the scaling law matters
The exponent ν controls nearly every macroscopic property of a polymer solution or melt: how viscosity scales with molecular weight, how quickly a polymer diffuses, how densely chains can pack, and how a gel swells. Measuring R_g as a function of molecular weight by light scattering is, in effect, a direct measurement of ν, and hence of how good a solvent is for that particular polymer — the same reasoning that tells a chemist which solvent to use to process a plastic or which conditions will make a protein's unfolded state expand or collapse.
Frequently asked questions
Why does chain size grow with the square root of N and not linearly?
Because the bonds point in random, uncorrelated directions, so the end-to-end displacement behaves like a random walk. Random-walk displacement grows with the square root of the number of steps, exactly as it does for a diffusing particle in Brownian motion.
What is special about the theta solvent condition?
At the theta temperature, the entropic tendency of the chain to avoid itself is exactly cancelled by an attractive monomer-monomer interaction, so the polymer behaves statistically like an ideal, non-interacting freely-jointed chain even though real excluded-volume effects are still physically present.
Is the Flory exponent exact?
Flory's original derivation is a mean-field approximation that gives ν = 3/5 in three dimensions. More rigorous renormalisation-group and simulation results give ν ≈ 0.588, remarkably close given how simple the original argument is.
Try it live
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