
2 KEATON NAFF AND JONATHAN J. ZHU
latter monotonicity formula is a proper (unweighted) area monotonicity, whereas all of the new
monotonicity formulae in this paper require a weight similar to the one in Theorem 1.1. We note
that even in the classical setting, y=o, it is not known whether an area-monotonicity holds in
the sphere. Nevertheless, there is a very natural weighted monotonicity (Theorem 3.3) that holds
for every space form. Theorem 1.1 can be thought of as a generalisation of this classical weighted
monotonicity. There is also a related boundary monotonicity that holds in the classical setting
(Theorem 3.4), but we do not know if an analogue holds here. We remark that there seem to be
fewer settings in extrinsic geometry where monotonicity formulae are known to hold, compared
with the intrinsic setting (where, for instance, versions of the Bishop-Gromov monotonicity are
known to hold under a variety of general settings).
In all of our monotonicity formulae, the integrand in the numerator is always bounded above
by 1, and converges to 1 as f→0. For small tthe sublevel sets Etapproximate geodesic balls
around y. When M∈ {Hn,Rn}, we have E1=Bn
R. Thus, one may deduce the sharp area bound
|Σ|≥|Σ0∩Bn
R|if Σ passes through the prescribed point y(see Corollary 4.7).
The sets Etbehave slightly differently if M=Snand in general we only have E1=Bn
R∩Bn
π
2(y).
The domain Bn
R∩Bn
π
2(y) also appeared as an obstruction to the vector field approach used in
[NZ22] to prove the sharp area estimate in Snfor certain values of Rand y(see Section 5 there for
more discussion). In our main theorem, we are only able to establish the monotonicity of Q(t) if
cos(R+d(o, y))2≥2
kand this implies that Bn
R⊂Bn
π
2(y), hence E1=Bn
R. Note that this condition
means the monotonicity does not hold for any Rand yif k= 2. When the monotonicity does
hold, we can also deduce the sharp area estimate in the sphere. We note that the direct vector field
method in [NZ22] gave the sharp area estimate under somewhat more general conditions on R, y.
The proof of Theorem 1.1 originates from ideas from [Zhu18], but with two key conceptual
realisations: that the moving-centre balls should be replaced by a suitable family of sublevel sets,
and that the area should be replaced by a suitable weight. These developments give rise to several
conditions that needs to be delicately balanced against each other. First, we extend the notion of
moving-centre balls to the sublevel sets of f=A(ry)
A(us). This is motivated by the vector field used to
solve the prescribed point problem in [NZ22] as well as the fact that it agrees with the known case
in [Zhu18]. Partly motivated by the classical weighted monotonicity which holds in all space forms,
we also introduce a weight wt, which we additionally allow to depend on t. A monotonicity for the
energy-like quantity RΣ∩Etwtfollows so long as one can find a family of vector fields Wtsatisfying:
(1) (boundary condition) hWt,∇>f
fi ≤ wton Σ ∩∂Et
(2) (divergence condition) divΣ(Wt)≥wt−t∂twton Σ ∩Et.
(See Lemma 4.1). In order to deduce the desired sharp area estimates from this monotonicity, the
weight wtand the sets Etmust satisfy a number of additional constraints. Most importantly, we
should have that:
•wt≤1 (with equality on the totally geodesic disks orthogonal to γ);
•wt→1 as t→0;
•E1=Bn
R;
•Etapproximates balls about yas t→0.
One of the main difficulties in discovering a suitable monotonicity formula is to simultaneously
produce the three families Et, wt, Wt, which satisfy the interdependent conditions above.