Take the same segment length and a large common number of steps. The ideal walks have size proportional to ; excluded volume swells a three-dimensional chain to approximately and a two-dimensional chain to . Projection changes an isotropic walk's prefactor, rather than its exponent. The projected three-dimensional ideal walk has a smaller planar size than an otherwise equal two-dimensional ideal walk. Therefore the asymptotic ordering is
The following subparts make the size and projection factors explicit. Comparing root-mean-square sizes gives the same ordering as comparing mean distance magnitudes here.
For the planar random walk with independent steps of length , cross terms vanish and . Thus . At large , the planar Gaussian end distribution gives .
A planar self-avoiding walk cannot revisit its occupied sites. In the good-solvent scaling regime, the two-dimensional Flory approximation gives , larger at large than either ideal walk and the projected three-dimensional self-avoiding walk. This is a scaling statement, with microscopic prefactors dependent on the walk model.
For an isotropic three-dimensional ideal walk, each Cartesian component contributes to the mean square. Keeping two components gives . The planar projection of an isotropic random vector therefore has , smaller than the unprojected planar ideal walk by . The corresponding two-dimensional Gaussian mean distance has the same ratio.
A three-dimensional self-avoiding walk has swollen size , with ; the three-dimensional Flory approximation gives the nearby estimate . Isotropic projection gives , preserving this exponent. For the mean distance rather than its root mean square, the orientation average instead gives . Neither prefactor changes its position between the ideal walks and the planar swollen walk.

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