Curves of maximal slope #
Let φ : X → EReal be an energy on a metric space with an upper gradient g : X → [0, ∞], and let
p, q be conjugate exponents. Along every absolutely continuous curve u, the energy can drop by
at most the dissipation
(1/p) ∫_s^t |u'|(r) ^ p dr + (1/q) ∫_s^t g (u r) ^ q dr,
since g controls the rate of change of φ ∘ u by g (u r) |u'|(r), and Young's inequality
bounds this product by the integrand above. A p-curve of maximal slope is a curve along which
the energy is finite and which, for all times s ≤ t, is absolutely continuous on [s, t] and
drops in energy by at least the dissipation: the energy-dissipation inequality
φ (u t) + (1/p) ∫_s^t |u'| ^ p + (1/q) ∫_s^t g (u r) ^ q ≤ φ (u s)
holds. These curves are the metric replacement for the solutions of the gradient
flow u' = -∇φ(u) of a smooth energy on a Hilbert space, which are curves of maximal slope for the
descending slope (TauCeti.isCurveOfMaximalSlope_of_hasGradientAt).
When g is a strong upper gradient the two bounds meet. Along a curve of maximal slope the
energy identity holds: the energy drops by exactly the dissipation. When moreover g ∘ u is
almost everywhere measurable, the metric speed and the upper gradient are related by
|u'| ^ p = g (u) ^ q almost everywhere, and the energy drop is the p-action. Conversely, a curve
absolutely continuous on a compact interval satisfying the energy-dissipation inequality between
its endpoints, with the energy finite there, is a curve of maximal slope on the whole interval.
Main definitions #
TauCeti.dissipation p q g u s t: the dissipation(1/p) A_p + (1/q) ∫ g (u r) ^ qof the curveubetweensandt, whereA_p = TauCeti.curveAction p u s t.TauCeti.IsCurveOfMaximalSlope p q φ g u I:uis ap-curve of maximal slope forφwith respect togon the set of timesI.
Main results #
TauCeti.IsStrongUpperGradient.le_add_dissipation: along every absolutely continuous curve the energy drops by at most the dissipation.TauCeti.IsCurveOfMaximalSlope.apply_eq_add_dissipation: the energy identityφ (u s) = φ (u t) + dissipation p q g u s tfors ≤ t.TauCeti.IsCurveOfMaximalSlope.ae_metricDerivative_rpow_eq: ifg ∘ uis a.e.-measurable,|u'| ^ p = g (u) ^ qalmost everywhere, andTauCeti.IsCurveOfMaximalSlope.apply_eq_add_curveAction: the energy drop is then thep-action.TauCeti.isCurveOfMaximalSlope_Icc_iff: for a curve absolutely continuous on[a, b]it suffices to check finiteness of the energy ataandband the energy-dissipation inequality betweenaandb.TauCeti.isCurveOfMaximalSlope_of_hasGradientAt: on a Hilbert space, aC¹solution ofu' = -∇f(u)is a2-curve of maximal slope for the descending slope off;TauCeti.isCurveOfMaximalSlope_exp_neg_smulis the flowt ↦ e⁻ᵗ xof‖x‖² / 2.
Implementation notes #
Ambrosio–Gigli–Savaré define a curve of maximal slope on an open interval as a locally absolutely
continuous curve such that φ ∘ u agrees almost everywhere with a nonincreasing function ψ
satisfying ψ' ≤ -(1/p) |u'| ^ p - (1/q) g (u) ^ q almost everywhere. Here the integrated
energy-dissipation inequality is required of φ ∘ u itself, on every pair of times of an
arbitrary set I (so I may be closed, open or unbounded), together with absolute continuity of
u between them. Since φ takes values in EReal, where this inequality holds trivially once
φ (u s) = ⊤ or φ (u t) = ⊥, the energy φ ∘ u is moreover required to be finite on I,
as the real-valued ψ of Ambrosio–Gigli–Savaré is. Ruling out a modification of φ ∘ u on a
null set is a genuine restriction only for weak upper gradients: for a strong upper gradient,
Ambrosio–Gigli–Savaré show that φ ∘ u is locally absolutely continuous along their curves of
maximal slope.
References #
- L. Ambrosio, N. Gigli, G. Savaré, Gradient Flows in Metric Spaces and in the Space of Probability Measures, 2nd ed., Birkhäuser 2008, Chapter 1, Section 1.3.
For conjugate exponents p, q, splitting a ∈ [0, ∞] as a / p + a / q recovers a.
The dissipation of a curve u between s and t for exponents p, q and an upper gradient
g: (1/p) ∫ |u'|(r) ^ p dr + (1/q) ∫ g (u r) ^ q dr over the interval between s and t, with
the first term the p-action TauCeti.curveAction p u s t.
Instances For
The defining formula of the dissipation.
The dissipation does not depend on the orientation of the interval.
The dissipation over a degenerate interval vanishes.
The dissipation is additive over adjacent intervals.
Along a curve absolutely continuous on [s, t], the dissipation is the integral of
|u'| ^ p / p + g (u) ^ q / q.
Young's inequality along a curve: the integral of g (u r) |u'|(r) is at most the
dissipation.
Along an absolutely continuous curve, an energy with strong upper gradient g drops by at most
the dissipation: φ (u s) ≤ φ (u t) + dissipation p q g u s t.
u is a p-curve of maximal slope for the energy φ with respect to the upper gradient g
on the set of times I if the energy φ (u s) is finite for every s ∈ I, and for all s ≤ t
in I the curve is absolutely continuous on [s, t] and satisfies the energy-dissipation
inequality φ (u t) + (1/p) ∫_s^t |u'| ^ p + (1/q) ∫_s^t g (u r) ^ q ≤ φ (u s). Here q is meant
to be the conjugate exponent of p.
Instances For
The defining property of a curve of maximal slope.
The energy is not ⊤ along a curve of maximal slope.
The energy is not ⊥ along a curve of maximal slope.
A curve of maximal slope is absolutely continuous between any two of its times.
The energy-dissipation inequality along a curve of maximal slope.
A curve of maximal slope on I is a curve of maximal slope on every subset of I.
The energy is nonincreasing along a curve of maximal slope.
The energy identity: if g is a strong upper gradient, the energy drops along a curve of
maximal slope by exactly the dissipation, φ (u s) = φ (u t) + dissipation p q g u s t.
Along a curve of maximal slope for a strong upper gradient g, if g ∘ u is a.e.-measurable
between s and t, the metric speed and the upper gradient satisfy |u'| ^ p = g (u) ^ q almost
everywhere there.
The energy identity in terms of the action: along a curve of maximal slope for a strong
upper gradient g, if g ∘ u is a.e.-measurable between s and t, the energy drops by exactly
the p-action, φ (u s) = φ (u t) + A_p(u).
The energy identity in terms of the upper gradient: along a curve of maximal slope for a
strong upper gradient g, if g ∘ u is a.e.-measurable between s and t, then
φ (u s) = φ (u t) + ∫_s^t g (u r) ^ q dr.
For a strong upper gradient g, a curve absolutely continuous on [a, b] is a curve of
maximal slope on [a, b] as soon as φ (u a) < ∞, φ (u b) > -∞ and the energy-dissipation
inequality holds between a and b.
On a Hilbert space, a solution u' = -∇f(u) of the gradient flow of f with continuous
velocity is a 2-curve of maximal slope for f with respect to its descending slope: along it the
energy drops at rate ‖∇f(u)‖² = (1/2) |u'| ^ 2 + (1/2) |∂f| (u) ^ 2.
The flow t ↦ e⁻ᵗ x of the energy ‖x‖² / 2 on a Hilbert space is a 2-curve of maximal
slope for the descending slope of the energy.