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On length-preserving and area-preserving inverse curvature flow of planar curves with singularities

Yunlong Yang School of Science
Dalian Maritime University
Dalian, 116026, P. R. China
[email protected]
Yanwen Zhao School of Science
Dalian Maritime University
Dalian, 116026, P. R. China
[email protected]
Jianbo Fang School of Mathematics and Statistics
Guizhou University of Finance and Economics
Guiyang, 550025, P. R. China
[email protected]
 and  Yanlong Zhang Institute of Mathematics
Henan Academy of Sciences
Zhengzhou, 450046, P. R. China
[email protected]
Abstract.

This paper aims to investigate the evolution problem for planar curves with singularities. Motivated by the inverse curvature flow introduced by Li and Wang (Calc. Var. Partial Differ. Equ. 62 (2023), No. 135), we intend to consider the area-preserving and length-preserving inverse curvature flow with nonlocal term for \ell-convex Legendre curves. For the area-preserving flow, an \ell-convex Legendre curve with initial algebraic area A0>0A_{0}>0 evolves to a circle of radius A0π\sqrt{\frac{A_{0}}{\pi}}. For the length-preserving flow, an \ell-convex Legendre curve with initial algebraic length L0L_{0} evolves to a circle of radius L02π\frac{L_{0}}{2\pi}. As the by-product, we obtain some geometric inequalities for \ell-convex Legendre curves through the length-preserving flow.

Key words and phrases:
Area-preserving flow, Inverse curvature flow, \ell-convex curves, Length-preserving flow
2020 Mathematics Subject Classification:
53E99, 53A04
This work is supported by the Fundamental Research Funds for the Central Universities (Nos.3132023202, 3132022206).

1. Introduction

The evolution problem for curves is a fundamental problem in geometry and topology, which has gained much attention in pure mathematics and has been widely applied in fields such as computer vision, image processing, and material science. One of the most well-known models may be the curve shortening flow of planar curves which is equivalent to a nonlinear parabolic equation for curvature. Normally, the Frenet frame cannot be built at singular points, so it is quite difficult to define the evolution problem for curves with singularities even in the plane.

The aim of this paper is to study evolution problems for some planar curves with singularities. Before introducing the models of this paper, we first illustrate basic definitions and notation about curves with singularities in order to comprehend associated evolution problems.

1.1. Legendre curves

The curve γ:I2\gamma:I\rightarrow{\mathbb{R}^{2}} is referred to an Legendre curve, if there exists a unit vector field ν:I𝕊1\nu:I\rightarrow\mathbb{S}^{1} satisfying

(1.1) γ(θ),ν(θ)=0\langle\gamma^{\prime}(\theta),\nu(\theta)\rangle=0

for any θI\theta\in I. Here, γ(θ)=dγdθ\gamma^{\prime}(\theta)=\frac{d\gamma}{d\theta} and ,\langle\cdot,\cdot\rangle denotes the inner product. Notably, when the vector field ν\nu is smooth, this special class of curves is termed frontal as introduced in [9]. This definition allows us to establish the Frenet frame even at singular points.

Let γ\gamma be a frontal. In this context, the pair (ν(θ),μ(θ))({\nu(\theta),\mu(\theta)}), satisfying μ(θ)=J(ν(θ))\mu(\theta)=J(\nu(\theta)), constitutes a moving frame along the curve γ(θ)\gamma(\theta) in 2\mathbb{R}^{2}, where JJ represents a counterclockwise rotation of π2\frac{\pi}{2} on 2\mathbb{R}^{2}. The Frenet formula for γ\gamma is defined as:

(ν(θ)μ(θ))=(0(θ)(θ)0)(ν(θ)μ(θ)),\left(\begin{array}[]{c}\nu^{\prime}(\theta)\\ \mu^{\prime}(\theta)\end{array}\right)=\left(\begin{array}[]{cc}0&\ell(\theta)\\ -\ell(\theta)&0\end{array}\right)\left(\begin{array}[]{c}\nu(\theta)\\ \mu(\theta)\end{array}\right),

Here, (θ)=ν(θ),μ(θ)\ell(\theta)=\langle\nu^{\prime}(\theta),\mu(\theta)\rangle, and there exists a smooth function β\beta such that

γ(θ)=β(θ)μ(θ).\gamma^{\prime}(\theta)=\beta(\theta)\mu(\theta).

Consequently, a Legendre curve γ\gamma is regular if and only if β\beta never vanishes. The pair (,β)(\ell,\beta) serves as a crucial invariant for Legendre curves, commonly referred to as the curvature pair of Legendre curves, as discussed in [10]. A straightforward computation reveals the relationship between the conventional curvature κ\kappa and β\beta for Legendre curves, specifically, κ=|β|\kappa=\frac{\ell}{|\beta|}. Also, it is easy to see that the singular points on a Legendre curve satisfy β=0\beta=0. Furthermore, if both \ell and β\beta maintain consistent sign, the Legendre curve is convex, and vice versa, as detailed in [10]. In essence, Legendre curves can be seen as an extension of the convex curves. When >0\ell>0, an Legendre curve is denoted as an \ell-convex Legendre curve. Remarkably, as established in [33, Lemma 3.2], a Legendre curve can be transformed into one with =1\ell=1 through reparametrization. Therefore, for the sake of simplicity, we may exclusively focus on Legendre curves with =1\ell=1.

Let γ:𝕊12\gamma:\mathbb{S}^{1}\rightarrow\mathbb{R}^{2} be an \ell-convex Legendre curve with =1\ell=1. According to [33, Lemma 3.3], the curve γ\gamma can be expressed as

(1.2) γ(θ)=p(θ)(cosθ,sinθ)+p(θ)(sinθ,cosθ),\gamma(\theta)=p(\theta)(\cos\theta,\sin\theta)+p^{\prime}(\theta)(-\sin\theta,\cos\theta),

Here, (cosθ,sinθ)(\cos\theta,\sin\theta) is denoted as the unit vector field ν\nu on 𝕊1\mathbb{S}^{1}. The function p(θ)p(\theta) serves the same role as the support function for a convex curve and is still called the support function for the \ell-convex Legendre curve γ\gamma in [33]. Notably, p(θ)>0p(\theta)>0 and p(θ)+p′′(θ)>0p(\theta)+p^{\prime\prime}(\theta)>0 for any θ𝕊1\theta\in\mathbb{S}^{1}, curve γ\gamma turns into a convex curve. Moreover, in line with [33, Remark 3.5], we have

(1.3) β(θ)=p(θ)+p′′(θ).\beta(\theta)=p(\theta)+p^{\prime\prime}(\theta).

Much like convex curves, the algebraic length LL and the algebraic area AA of γ\gamma can be defined, as detailed in [33, Definition 3.4], by the following expressions

(1.4) L=𝕊1(p(θ)+p′′(θ))𝑑θ=𝕊1p(θ)𝑑θ,\displaystyle L=\int_{\mathbb{S}^{1}}(p(\theta)+p^{\prime\prime}(\theta))d\theta=\int_{\mathbb{S}^{1}}p(\theta)d\theta,
(1.5) A=12𝕊1p(θ)(p(θ)+p′′(θ))𝑑θ.\displaystyle A=\frac{1}{2}\int_{\mathbb{S}^{1}}p(\theta)(p(\theta)+p^{\prime\prime}(\theta))d\theta.

It’s worth noting that replacing pp with p-p only alters the sign of LL while keeping the sign of AA. Therefore, we may pay attention to \ell-convex curves with L0L\geq 0. Additionally, it’s important to highlight that the algebraic area AA of a Legendre curve may be positive, zero, or even negative values.

If we consider the \ell-convex curve γ\gamma with a support function expressed as

(1.6) p(θ)=a0+k1(akcoskθ+bksinkθ),p(\theta)=a_{0}+\sum_{k\geq 1}(a_{k}\cos k\theta+b_{k}\sin k\theta),

then, through integration by parts and Parseval’s identity, we obtain

(1.7) L=2πa0,\displaystyle L=2\pi a_{0},
(1.8) A=πa02+π2k2(1k2)(ak2+bk2),\displaystyle A=\pi a_{0}^{2}+\frac{\pi}{2}\sum_{k\geq 2}(1-k^{2})(a_{k}^{2}+b_{k}^{2}),

see e.g. [33]. Additionally, the coefficients a1a_{1} and b1b_{1} appeared in (1.6) own great significance in determining the position of the curve γ\gamma. Concretely,

a1=1π02πp(θ)cosθdθa_{1}=\frac{1}{\pi}\int_{0}^{2\pi}p(\theta)\cos\theta d\theta

and

b1=1π02πp(θ)sinθdθ.b_{1}=\frac{1}{\pi}\int_{0}^{2\pi}p(\theta)\sin\theta d\theta.

The point (a1,b1)(a_{1},b_{1}) is commonly referred to be the Steiner point for convex curves, see [43, p.50].

Due to the isoperimetric inequality for \ell-convex Legendre curves established in [33, Theorem 4.1], if its algebraic length LL of such a curve is equal to zero, then its algebraic area AA must be a negative value, unless the curve degenerates into a single point. However, when LL is greater than zero, the situation for AA becomes notably intricate. For instance, consider the support function of γ\gamma in the form of p(θ)=2+sin2θp(\theta)=2+\sin 2\theta. In this case, the algebraic area AA equals to 5π2\frac{5\pi}{2}. Alternatively, if p(θ)=32+sin2θp(\theta)=\sqrt{\frac{3}{2}}+\sin 2\theta, the corresponding AA evaluates to zero. Lastly, for the support function p(θ)=12+sin2θp(\theta)=\frac{1}{2}+\sin 2\theta, the associated algebraic area AA becomes 5π4-\frac{5\pi}{4}; see Figure 1.

Refer to caption
(a) p(θ)=2+sin2θp(\theta)=2+\sin 2\theta
Refer to caption
(b) p(θ)=32+sin2θp(\theta)=\sqrt{\frac{3}{2}}+\sin 2\theta
Refer to caption
(c) p(θ)=12+sin2θp(\theta)=\frac{1}{2}+\sin 2\theta
Refer to caption
(d) p(θ)=2sin2θp(\theta)=2\sin 2\theta
Figure 1. Examples

1.2. Evolution problems and main theorems

Inspired by the impressive inverse curvature flow researched by Li and Wang [33], we intend to consider the evolution problem for \ell-convex Legendre curves as follows

(1.9) {γt=(βλ(t))2+β2μ+(βλ(t))ν,νt=β(βλ(t))2+β2μ,\begin{cases}\frac{\partial\gamma}{\partial t}=\frac{\ell(\beta-\lambda(t))^{\prime}}{\ell^{2}+\beta^{2}}\mu+(\beta-\lambda(t))\nu,\\ \frac{\partial\nu}{\partial t}=-\frac{\beta(\beta-\lambda(t))^{\prime}}{\ell^{2}+\beta^{2}}\mu,\end{cases}

where λ(t)\lambda(t) is a nonlocal term.

The first purpose of this paper is to study nonlocal flows with λ(t)=1L02πβ2𝑑θ\lambda(t)=\frac{1}{L}\int_{0}^{2\pi}\beta^{2}d\theta or λ(t)=L2π\lambda(t)=\frac{L}{2\pi}. From the evolution equations for LL and AA (see Lemma 2.1), the flow (1.9) is area-preserving when λ(t)=1L02πβ2𝑑θ\lambda(t)=\frac{1}{L}\int_{0}^{2\pi}\beta^{2}d\theta, and it is length-preserving when λ(t)=L2π\lambda(t)=\frac{L}{2\pi}.

For the area-preserving flow, one can get

Theorem 1.1.

Let γ0\gamma_{0} be an initial \ell-convex Legendre curve with (θ,0)=1\ell(\theta,0)=1. If the algebraic area of γ0\gamma_{0} is positive, then for λ(t)=1L02πβ2𝑑θ\lambda(t)=\frac{1}{L}\int_{0}^{2\pi}\beta^{2}d\theta, the flow (1.9) exists in the time interval [0,+)[0,+\infty). Meanwhile, the evolving curve is still \ell-convex, preserves the algebraic area, and converges to a circle of radius A0π\sqrt{\frac{A_{0}}{\pi}} in the CC^{\infty} sense as time tt goes to infinity.

Remark 1.2.

The initial algebraic area A0>0A_{0}>0, as mentioned in the area-preserving flow of Theorem 1.1, stands as an indispensable prerequisite for the evolving \ell-convex Legendre curves. In fact, if A00A_{0}\leq 0, there is the possibility that L0=0L_{0}=0. This makes nonlocal term λ(t)=1L02πβ2𝑑θ\lambda(t)=\frac{1}{L}\int_{0}^{2\pi}\beta^{2}d\theta no sense. For example, consider that the support function of γ0\gamma_{0} is p0(θ)=sinθ+2cosθp_{0}(\theta)=\sin\theta+2\cos\theta. In this case, the algebraic area A0=0A_{0}=0. And if the support function p0(θ)=sinθ+2cosθ+sin2θ+2cos2θp_{0}(\theta)=\sin\theta+2\cos\theta+\sin 2\theta+2\cos 2\theta, its algebraic area A0<0A_{0}<0. In both situations, the associated algebraic length L0=0L_{0}=0.

For the length-preserving flow, one has

Theorem 1.3.

Let γ0\gamma_{0} be an initial \ell-convex Legendre curve with (θ,0)=1\ell(\theta,0)=1. For λ(t)=L2π\lambda(t)=\frac{L}{2\pi}, the flow (1.9) exists in the time interval [0,+)[0,+\infty). Meanwhile, the evolving curve is still \ell-convex, preserves the algebraic length and converges to a circle of radius L02π\frac{L_{0}}{2\pi}. Specially, if L0=0L_{0}=0, then it converges to a point.

In essence, the flow (1.9) is an inverse flow for \ell-convex Legendre curves. In particular, when the initial curve becomes a convex curve, this flow represents Gao-Pan-Tsai’s area-preserving model [14] when λ(t)=1L02πβ2𝑑θ\lambda(t)=\frac{1}{L}\int_{0}^{2\pi}\beta^{2}d\theta, and corresponds to Pan-Yang’s length-preserving flow [38] when λ(t)=L2π\lambda(t)=\frac{L}{2\pi}. Unlike previous work on the inverse curvature flow for convex curves, see [13, 14], the long-term existence of the length-preserving and area-preserving flow for \ell-convex Legendre curves does not necessitate additional curvature conditions. More insights into the inverse curvature flow for convex curves can be found in [29], and the related literature therein.

The exploration of evolution problems for planar convex curves began with the comprehensive work of Gage and Hamilton [12]. They established the renowned result that a convex curve evolves into a point at finite time under the curve shortening flow, and the normalized of evolving curve converges to a circle as time goes to infinity. As a natural extension of this research, Gage [11] introduced a nonlocal area-preserving flow. The area-preserving flows with nonlocal speed for planar convex curves have since garnered substantial attention and undergone extensive investigations [14, 34, 35, 39, 44, 50]. Distinct from Gage’s area-preserving model, Pan and Yang [38] introduced an inverse curvature flow that is a length-preserving flow with nonlocal term. Further investigations into length-preserving flows have been undertaken in [13, 44]. For immersed curves, corresponding nonlocal area-preserving and length-preserving flows have been discussed by [41, 46, 47]. The nonlocal flows for general polygons are discussed in [17, 40]. In another significant extension, Grayson [19] demonstrated that any embedded planar curve can evolve into a convex one within finite time. This extends the Gage-Hamilton’s result to embedded curves and is known as the Gage-Hamilton-Grayson theorem. This theorem has also been studied in the context of nonlocal area-preserving and length-preserving flows, as detailed in [8, 36, 37, 15]. There is another nonlocal flow that is a gradient flow for the isoperimetirc ratio of evolving curve [28]. Research on the associated parabolic equations for evolving problems can be found in works such as [2, 3, 4, 18]. For a comprehensive understanding various aspects of evolving problems, readers can refer to the monographs [1] and [7].

For an \ell-convex Legendre curve γ\gamma with algebraic length LL and algebraic area AA, Li and Wang [33] have established a set of geometric inequalities:

(1.10) L24πA0,\displaystyle L^{2}-4\pi A\geq 0,
(1.11) 02πβ2𝑑θ2A0,\displaystyle\int_{0}^{2\pi}\beta^{2}d\theta-2A\geq 0,
(1.12) 02πβ2𝑑θ2A8(L24πA)0,\displaystyle\int_{0}^{2\pi}\beta^{2}d\theta-2A-8\left(\frac{L^{2}}{4\pi}-A\right)\geq 0,
(1.13) 11202πβ2𝑑θ2(L24πA)0.\displaystyle\frac{1}{12}\int_{0}^{2\pi}\beta^{\prime 2}d\theta-2\left(\frac{L^{2}}{4\pi}-A\right)\geq 0.

Inequality (1.10) constitutes the isoperimetric inequality for \ell-convex Legendre curves. Differing from the classical isoperimetric inequality, it remains valid even for non-simple curves. Notably, the equalities in (1.10) and (1.11) hold if and only if γ\gamma is a circle, while the equalities in (1.12) and (1.13) hold if and only if the support function of γ\gamma follows the form

(1.14) p(θ)=a0+a1cosθ+b1sinθ+a2cos2θ+b2sin2θ.p(\theta)=a_{0}+a_{1}\cos\theta+b_{1}\sin\theta+a_{2}\cos 2\theta+b_{2}\sin 2\theta.

The proofs of these inequalities rely on Fourier series. For additional geometric inequalities related to convex curves, we refer the readers to [20, 31] and the references therein. It should be noted that if the support function of an \ell-convex Legendre curve is form (1.14), it is a parallel curve of an astroid centered at (a1,b1)(a_{1},b_{1}). An example of the astroid can be seen in Figure 1(D) and the associated introduction to this kind of curve can be found in [33, Example 3.3] (see also [10]).

The second objective of this paper is to derive some geometric inequalities through the exploration of evolution problems concerning \ell-convex Legendre curves. As no geometric inequalities are employed in the discussion of the length-preserving inverse curvature flow presented in Theorem 1.3, this particular model is more advantageous in the pursuit of deriving geometric inequalities. To be specific, the length-preserving inverse curvature flow in Theorem 1.3 allows us to derive the isoperimetric inequality (1.10) and to obtain the generalizations for inequalities (1.11), (1.12), and (1.13).

The inverse curvature flow plays a pivotal role in the derivation of geometric inequalities, and there exists a body of research dedicated to this topic, with notable contributions found in [6, 23, 27], among others. The locally constrained inverse curvature flow, introduced by Brendle et al. [5] (see also Guan and Li [21]), was designed to ensure the monotonicity of certain geometric quantities and weaken the initial condition in some cases. The earliest investigations into the inverse curvature flow for hypersurfaces in Euclidean space can be traced back to Gerhardt [16] and Urbas [45]. Building upon these foundational works, Guan and Li [22] demonstrated the monotonicity of the ratio of quermassintegrals under the associated inverse curvature flow. They also provided a proof for Alexandrov-Fenchel inequalities applicable to kk-convex and star-shaped domains. In recent times, a lot of research efforts have been dedicated to locally constrained inverse curvature flows, as evidenced by works such as [24, 25, 26, 32, 42, 48, 49], among others. For the latest developments focused on the inverse curvature flow for convex curves, readers can explore in [13, 14, 29, 50], and the literature therein.

This paper is organized as follows. In Section 2, we present some basic concepts and results about geometric flows for \ell-convex Legendre curves. In Section 3, we deal with the area-preserving flow. In Section 4, we research the length-preserving inverse curvature flow. In Section 5, we can get some geometric inequalities for \ell-convex Legendre curves through the length-preserving inverse curvature flow.

2. Some facts and basic lemmas

As mentioned in [33], in order to investigate the inverse curve flow for \ell-convex curves while preserving the Legendrian condition (1.1), the pair (γ,ν)(\gamma,\nu) must be considered, as opposed to solely γ\gamma. This involves the following equations

(2.1) {γt=f2+β2μ+fν,νt=βf2+β2μ,\begin{cases}\frac{\partial\gamma}{\partial t}=\frac{\ell f^{\prime}}{\ell^{2}+\beta^{2}}\mu+f\nu,\\ \frac{\partial\nu}{\partial t}=-\frac{\beta f^{\prime}}{\ell^{2}+\beta^{2}}\mu,\end{cases}

where ff is a smooth function about the evolving Legendre curve γ\gamma. It is worth noting that, since altering the tangential vector field does not affect the flow, for the sake of simplifying the associated analysis, one can introduce an appropriate tangential vector field (β2f(2+β2)μ,βf(2+β2)μ)(\frac{\beta^{2}f^{\prime}}{\ell(\ell^{2}+\beta^{2})}\mu,\frac{\beta f^{\prime}}{(\ell^{2}+\beta^{2})}\mu) (see [33, p.20]) such that

(2.2) {γt=fμ+fν,νt=0.\begin{cases}\frac{\partial\gamma}{\partial t}=\frac{f^{\prime}}{\ell}\mu+f\nu,\\ \frac{\partial\nu}{\partial t}=0.\end{cases}

Following some straightforward calculations, one can deduce

(2.3) μt=0,\displaystyle\frac{\partial\mu}{\partial t}=0,
(2.4) t=0,\displaystyle\frac{\partial\ell}{\partial t}=0,
(2.5) βt=(f)+f.\displaystyle\frac{\partial\beta}{\partial t}=\left(\frac{f^{\prime}}{\ell}\right)^{\prime}+f\ell.

As a direct consequence of (2.4), it follows that (θ,t)=1\ell(\theta,t)=1 if the initial curve is with (θ,0)=1\ell(\theta,0)=1. Without loss of generality, we can assume (θ,0)=1\ell(\theta,0)=1. Based on the discussions above and through elementary computations, similar to those outlined in [33, pp.133-135], we can derive the evolution equations for essential geometric quantities.

Lemma 2.1.

The evolution equations for the support function pp, algebraic length LL, algebraic area AA and the quantity β\beta are

(2.6) pt=f,\displaystyle\frac{\partial p}{\partial t}=f,
(2.7) dLdt=02πf𝑑θ,\displaystyle\frac{dL}{dt}=\int_{0}^{2\pi}fd\theta,
(2.8) dAdt=02πβf𝑑θ,\displaystyle\frac{dA}{dt}=\int_{0}^{2\pi}\beta fd\theta,
(2.9) βt=fθθ+f.\displaystyle\frac{\partial\beta}{\partial t}=f_{\theta\theta}+f.
Lemma 2.2.

Under flow (2.2) when f=βλ(t)f=\beta-\lambda(t) and λ(t)\lambda(t) is a nonlocal term, the evolving curve is always \ell-convex.

Proof.

In order to show that γ(θ,t)\gamma(\theta,t) is still \ell-convex, by [33, Remark 3.5], we only need to check

(2.10) 02πβ(θ,t)cosθdθ=02πβ(θ,t)sinθdθ=0.\int_{0}^{2\pi}\beta(\theta,t)\cos\theta d\theta=\int_{0}^{2\pi}\beta(\theta,t)\sin\theta d\theta=0.

By (2.9), one has

ddt02πβcosθdθ\displaystyle\frac{d}{dt}\int_{0}^{2\pi}\beta\cos\theta d\theta =02πβtcosθdθ\displaystyle=\int_{0}^{2\pi}\beta_{t}\cos\theta d\theta
=02π(βθθ+βλ(t))cosθdθ\displaystyle=\int_{0}^{2\pi}\left(\beta_{\theta\theta}+\beta-\lambda(t)\right)\cos\theta d\theta
=02πβcosθdθ+02πβcosθdθλ(t)02πcosθdθ=0.\displaystyle=-\int_{0}^{2\pi}\beta\cos\theta d\theta+\int_{0}^{2\pi}\beta\cos\theta d\theta-\lambda(t)\int_{0}^{2\pi}\cos\theta d\theta=0.

Similarly, ddt02πβsinθdθ=0\frac{d}{dt}\int_{0}^{2\pi}\beta\sin\theta d\theta=0. Again from the fact that γ0\gamma_{0} is \ell-convex, it yields

02πβ(θ,t)cosθdθ=02πβ(θ,0)cosθdθ=0,\displaystyle\int_{0}^{2\pi}\beta(\theta,t)\cos\theta d\theta=\int_{0}^{2\pi}\beta(\theta,0)\cos\theta d\theta=0,
02πβ(θ,t)sinθdθ=02πβ(θ,0)sinθdθ=0,\displaystyle\int_{0}^{2\pi}\beta(\theta,t)\sin\theta d\theta=\int_{0}^{2\pi}\beta(\theta,0)\sin\theta d\theta=0,

which concludes the desired result. ∎

Corollary 2.3.

Under flow (2.2) when f=βλ(t)f=\beta-\lambda(t) and λ(t)\lambda(t) is a nonlocal term, then

(2.11) 02πβ(i)cosθdθ=02πβ(i)sinθdθ=0\int_{0}^{2\pi}\beta^{(i)}\cos\theta d\theta=\int_{0}^{2\pi}\beta^{(i)}\sin\theta d\theta=0

holds for i1i\geq 1, where β(i)\beta^{(i)} represents the ii-th derivative of β\beta.

Proof.

For i=1i=1, from integration by parts and (2.10), it yields

02πβθcosθdθ=02πβsinθdθ=0,\displaystyle\int_{0}^{2\pi}\beta_{\theta}\cos\theta d\theta=\int_{0}^{2\pi}\beta\sin\theta d\theta=0,
02πβθsinθdθ=02πβcosθdθ=0.\displaystyle\int_{0}^{2\pi}\beta_{\theta}\sin\theta d\theta=-\int_{0}^{2\pi}\beta\cos\theta d\theta=0.

Assume that the assertion of (2.11) holds for i1i-1. By the induction hypothesis, one can compute

02πβ(i)cosθdθ=02πβ(i1)sinθdθ=0.\displaystyle\int_{0}^{2\pi}\beta^{(i)}\cos\theta d\theta=\int_{0}^{2\pi}\beta^{(i-1)}\sin\theta d\theta=0.

In the same way, 02πβ(i)sinθdθ=0\int_{0}^{2\pi}\beta^{(i)}\sin\theta d\theta=0. ∎

Lemma 2.4.

Under flow (2.2) when f=βλ(t)f=\beta-\lambda(t), if λ(t)\lambda(t) has uniform bounds, then this flow exists in the time interval [0,+)[0,+\infty).

Proof.

Since γ0\gamma_{0} is an \ell-convex Legendre curve, |β(θ,0)|M0|\beta(\theta,0)|\leq M_{0} holds for a constant M0M_{0} only depending on γ0\gamma_{0}. Equation (2.9) is uniformly parabolic when λ(t)\lambda(t) is uniformly bounded. By the maximum principle for uniformly parabolic equations, one has |β(θ,t)|M0|\beta(\theta,t)|\leq M_{0} on 𝕊1×[0,T)\mathbb{S}^{1}\times[0,T). From the standard regularity theory for uniformly parabolic equations (see Krylov [30]), it yields that

|β(i)|Mi|\beta^{(i)}|\leq M_{i}

holds for i1i\geq 1, where MiM_{i} is a constant independent of time. Hence, the flow (2.2) exists in the time interval [0,+)[0,+\infty). ∎

Lemma 2.5.

Under flow (2.2) when f=βλ(t)f=\beta-\lambda(t), if the evolving curve is always \ell-convex and the flow exists in the time interval [0,+)[0,+\infty), then

|βL2π|Λ1e3t,\displaystyle\left|\beta-\frac{L}{2\pi}\right|\leq\Lambda_{1}e^{-3t},

where Λ1\Lambda_{1} is a constant only depending on γ0\gamma_{0}.

Proof.

It follows from (2.9) and integration by parts that

ddt02π(βL2π)2𝑑θ\displaystyle\frac{d}{dt}\int_{0}^{2\pi}\left(\beta-\frac{L}{2\pi}\right)^{2}d\theta
=\displaystyle= 202π(βL2π)(βtLt2π)𝑑θ\displaystyle 2\int_{0}^{2\pi}\left(\beta-\frac{L}{2\pi}\right)\left(\beta_{t}-\frac{L_{t}}{2\pi}\right)d\theta
=\displaystyle= 202π(βL2π)(βtLt2π)𝑑θ\displaystyle 2\int_{0}^{2\pi}\left(\beta-\frac{L}{2\pi}\right)\left(\beta_{t}-\frac{L_{t}}{2\pi}\right)d\theta
=\displaystyle= 202π(βL2π)(βθθ+βλ(t)Lt2π)𝑑θ\displaystyle 2\int_{0}^{2\pi}\left(\beta-\frac{L}{2\pi}\right)\left(\beta_{\theta\theta}+\beta-\lambda(t)-\frac{L_{t}}{2\pi}\right)d\theta
=\displaystyle= 202π(βL2π)θ2𝑑θ+202π(βL2π)2𝑑θ\displaystyle-2\int_{0}^{2\pi}\left(\beta-\frac{L}{2\pi}\right)_{\theta}^{2}d\theta+2\int_{0}^{2\pi}\left(\beta-\frac{L}{2\pi}\right)^{2}d\theta
+2(L2πλ(t)Lt2π)02π(βL2π)𝑑θ\displaystyle+2\left(\frac{L}{2\pi}-\lambda(t)-\frac{L_{t}}{2\pi}\right)\int_{0}^{2\pi}\left(\beta-\frac{L}{2\pi}\right)d\theta

Note that

02π(βL2π)𝑑θ=0,\displaystyle\int_{0}^{2\pi}\left(\beta-\frac{L}{2\pi}\right)d\theta=0,
02π(βL2π)cosθdθ=0,\displaystyle\int_{0}^{2\pi}\left(\beta-\frac{L}{2\pi}\right)\cos\theta d\theta=0,
02π(βL2π)sinθdθ=0,\displaystyle\int_{0}^{2\pi}\left(\beta-\frac{L}{2\pi}\right)\sin\theta d\theta=0,

one has

(2.12) 02π(βL2π)θ2𝑑θ402π(βL2π)2𝑑θ.\displaystyle\int_{0}^{2\pi}\left(\beta-\frac{L}{2\pi}\right)_{\theta}^{2}d\theta\geq 4\int_{0}^{2\pi}\left(\beta-\frac{L}{2\pi}\right)^{2}d\theta.

Together with (2.12), it has

ddt02π(βL2π)2𝑑θ602π(βL2π)2𝑑θ,\displaystyle\frac{d}{dt}\int_{0}^{2\pi}\left(\beta-\frac{L}{2\pi}\right)^{2}d\theta\leq-6\int_{0}^{2\pi}\left(\beta-\frac{L}{2\pi}\right)^{2}d\theta,

which deduces that

02π(βL2π)2𝑑θ02π(β0(θ)L02π)2𝑑θe6t.\displaystyle\int_{0}^{2\pi}\left(\beta-\frac{L}{2\pi}\right)^{2}d\theta\leq\int_{0}^{2\pi}\left(\beta_{0}(\theta)-\frac{L_{0}}{2\pi}\right)^{2}d\theta\cdot e^{-6t}.

From the above expression and the Sobolev inequality in [12, p.90], the desired estimate is achieved. ∎

3. The area-preserving flow

When the algebraic area of initial curve A0>0A_{0}>0, taking λ(t)=1L02πβ2𝑑θ\lambda(t)=\frac{1}{L}\int_{0}^{2\pi}\beta^{2}d\theta in (1.9) which is equivalent to letting f=βλ(t)f=\beta-\lambda(t) in (2.2), we can deal with the equivalent evolution problem to (1.9) as follows

(3.1) {γt=(βλ(t))μ+(βλ(t))ν,νt=0.\begin{cases}\frac{\partial\gamma}{\partial t}=(\beta-\lambda(t))^{\prime}\mu+(\beta-\lambda(t))\nu,\\ \frac{\partial\nu}{\partial t}=0.\end{cases}
Lemma 3.1.

Under flow (3.1), the algebraic length of γ(θ,t)\gamma(\theta,t) is decreasing and the associated algebraic area is fixed.

Proof.

From (1.4) and (1.3), it follows that

dLdt\displaystyle\frac{dL}{dt} =02πβ𝑑θ2πL02πβ2𝑑θ\displaystyle=\int_{0}^{2\pi}\beta d\theta-\frac{2\pi}{L}\int_{0}^{2\pi}\beta^{2}d\theta
=1L((02πβ𝑑θ)22π02πβ2𝑑θ).\displaystyle=\frac{1}{L}\left(\left(\int_{0}^{2\pi}\beta d\theta\right)^{2}-2\pi\int_{0}^{2\pi}\beta^{2}d\theta\right).

Combining with the Cauchy-Schwarz inequality, it yields dLdt0\frac{dL}{dt}\leq 0, which implies that the algebraic length of γ(θ,t)\gamma(\theta,t) is decreasing. By (2.7), direct calculation shows that the algebraic area of γ(θ,t)\gamma(\theta,t) is fixed. ∎

Proposition 3.2.

Under flow (3.1), the nonlocal term λ(t)\lambda(t) is uniformly bounded.

Proof.

Lemma 3.1 and (1.10) tell us

L0L(t)2πA(t)=2πA0.\displaystyle L_{0}\geq L(t)\geq 2\sqrt{\pi A(t)}=2\sqrt{\pi A_{0}}.

To show the bounds for the term λ(t)\lambda(t), consider the quantity F=02πβ2𝑑θF=\int_{0}^{2\pi}\beta^{2}d\theta. From integration by parts, (2.9), (1.4) and (1.3), it yields

dFdt\displaystyle\frac{dF}{dt} =202πββt𝑑θ\displaystyle=2\int_{0}^{2\pi}\beta\beta_{t}d\theta
=202πβ(βθθ+βλ(t))𝑑θ\displaystyle=2\int_{0}^{2\pi}\beta\left(\beta_{\theta\theta}+\beta-\lambda\left(t\right)\right)d\theta
=202πβθ2𝑑θ+202πβ2𝑑θ2λ(t)L\displaystyle=-2\int_{0}^{2\pi}\beta_{\theta}^{2}d\theta+2\int_{0}^{2\pi}\beta^{2}d\theta-2\lambda\left(t\right)L
=202πβθ2𝑑θ+202πβ2𝑑θ202πβ2𝑑θ0.\displaystyle=-2\int_{0}^{2\pi}\beta_{\theta}^{2}d\theta+2\int_{0}^{2\pi}\beta^{2}d\theta-2\int_{0}^{2\pi}\beta^{2}d\theta\leq 0.

This implies that 02πβ2𝑑θ02πβ2(θ,0)𝑑θ\int_{0}^{2\pi}\beta^{2}d\theta\leq\int_{0}^{2\pi}\beta^{2}(\theta,0)d\theta. Together with the inequality (1.11) and the fact that the algebraic area of the evolving curve is fixed, the desired bounds for λ(t)\lambda(t) is achieved. ∎

Proposition 3.3.

If the initial \ell-convex Legendre curve γ0\gamma_{0} is of algebraic area A0>0A_{0}>0, then the limiting curve is a circle with radius A0π\sqrt{\frac{A_{0}}{\pi}} under flow (3.1).

Proof.

Step 1. βA0π\beta\rightarrow\sqrt{\frac{A_{0}}{\pi}} as tt\rightarrow\infty

By (2.9) and integration by parts, one has

d2Fdt2\displaystyle\frac{d^{2}F}{dt^{2}} =402πβθβtθ𝑑θ\displaystyle=-4\int_{0}^{2\pi}\beta_{\theta}\beta_{t\theta}d\theta
=402πβθ(βθθ+βλ(t))θ𝑑θ\displaystyle=-4\int_{0}^{2\pi}\beta_{\theta}\left(\beta_{\theta\theta}+\beta-\lambda\left(t\right)\right)_{\theta}d\theta
=402πβθθ2𝑑θ402πβθ2𝑑θ.\displaystyle=4\int_{0}^{2\pi}\beta_{\theta\theta}^{2}d\theta-4\int_{0}^{2\pi}\beta_{\theta}^{2}d\theta.

Together with (2.11) and the Wirtinger inequality, it has

d2Fdt2\displaystyle\frac{d^{2}F}{dt^{2}} 1202πβθ2𝑑θ=6dFdt.\displaystyle\geq 12\int_{0}^{2\pi}\beta_{\theta}^{2}d\theta=-6\frac{dF}{dt}.

This deduces that

dFdt(θ,t)dFdt(θ,0)e6t,\displaystyle\frac{dF}{dt}(\theta,t)\geq\frac{dF}{dt}(\theta,0)\ e^{-6t},

which combining with dFdt0\frac{dF}{dt}\leq 0 yields dFdt0\frac{dF}{dt}\rightarrow 0 as time tt\rightarrow\infty, Thus, βθ0\beta_{\theta}\rightarrow 0 and β\beta tends to a constant rr as time tt goes to infinite.

Combining with (1.4), (1.5) and the fact that βr\beta\rightarrow r as tt\rightarrow\infty, it yields r=A0πr=\sqrt{\frac{A_{0}}{\pi}}.

Step 2. The limiting curve is a circle

Let p(θ,t)p(\theta,t) be the support function of the evolving curve γ(θ,t)\gamma(\theta,t). Set

a1(t)=1π02πp(θ,t)cosθdθandb1(t)=1π02πp(θ,t)sinθdθ.a_{1}(t)=\frac{1}{\pi}\int_{0}^{2\pi}p(\theta,t)\cos\theta d\theta\quad\text{and}\quad b_{1}(t)=\frac{1}{\pi}\int_{0}^{2\pi}p(\theta,t)\sin\theta d\theta.

By (2.6) and integration by parts, one has

da1(t)dt\displaystyle\frac{da_{1}(t)}{dt} =1π02πptcosθdθ\displaystyle=\frac{1}{\pi}\int_{0}^{2\pi}p_{t}\cos\theta d\theta
=1π02π(pθθ+pλ(t))cosθdθ\displaystyle=\frac{1}{\pi}\int_{0}^{2\pi}(p_{\theta\theta}+p-\lambda(t))\cos\theta d\theta
=1π02πpcosθdθ+1π02πpcosθdθ=0.\displaystyle=-\frac{1}{\pi}\int_{0}^{2\pi}p\cos\theta d\theta+\frac{1}{\pi}\int_{0}^{2\pi}p\cos\theta d\theta=0.

In exactly the same way, db1(t)dt=0\frac{db_{1}(t)}{dt}=0. These results deduce that a1(t)a_{1}(t) and b1(t)b_{1}(t) are constants independent of time, that is, point (a1(t),b1(t))(a_{1}(t),b_{1}(t)) is fixed under flow (3.1), denoted by (a1,b1)(a_{1},b_{1}).

Suppose that p~(θ,t)=p(θ,t)a1cosθb1sinθ\widetilde{p}(\theta,t)=p(\theta,t)-a_{1}\cos\theta-b_{1}\sin\theta, then

(3.2) 02πp~(θ,t)cosθdθ=02πp~(θ,t)sinθdθ=0.\displaystyle\int_{0}^{2\pi}\widetilde{p}(\theta,t)\cos\theta d\theta=\int_{0}^{2\pi}\widetilde{p}(\theta,t)\sin\theta d\theta=0.

Again by (2.6), one has

(3.3) p~t=pt\displaystyle\widetilde{p}_{t}={p}_{t} =pθθ+pλ(t)=p~θθ+p~λ(t).\displaystyle={p}_{\theta\theta}+p-\lambda\left(t\right)=\widetilde{p}_{\theta\theta}+\widetilde{p}-\lambda(t).

Consider the quantity G=02πp~2𝑑θG=\int_{0}^{2\pi}\widetilde{p}^{2}d\theta. It follows from (3.3), integration by parts and the fact β=β~\beta=\widetilde{\beta} that

dGdt\displaystyle\frac{dG}{dt} =202πp~p~t𝑑θ\displaystyle=2\int_{0}^{2\pi}\widetilde{p}\widetilde{p}_{t}d\theta
=202πp~(p~θθ+p~λ(t))𝑑θ\displaystyle=2\int_{0}^{2\pi}\widetilde{p}\left(\widetilde{p}_{\theta\theta}+\widetilde{p}-\lambda\left(t\right)\right)d\theta
=202πp~θ2𝑑θ+202πp~2𝑑θ202πβ2𝑑θ\displaystyle=-2\int_{0}^{2\pi}\widetilde{p}_{\theta}^{2}d\theta+2\int_{0}^{2\pi}\widetilde{p}^{2}d\theta-2\int_{0}^{2\pi}\beta^{2}d\theta
=202πp~θ2𝑑θ+202πp~2𝑑θ202π(p~+p~θθ)2𝑑θ\displaystyle=-2\int_{0}^{2\pi}\widetilde{p}_{\theta}^{2}d\theta+2\int_{0}^{2\pi}\widetilde{p}^{2}d\theta-2\int_{0}^{2\pi}\left(\widetilde{p}+\widetilde{p}_{\theta\theta}\right)^{2}d\theta
=202πp~θ2𝑑θ+202πp~2𝑑θ202πp~2𝑑θ202πp~θθ2𝑑θ+402πp~θ2𝑑θ\displaystyle=-2\int_{0}^{2\pi}\widetilde{p}_{\theta}^{2}d\theta+2\int_{0}^{2\pi}\widetilde{p}^{2}d\theta-2\int_{0}^{2\pi}\widetilde{p}^{2}d\theta-2\int_{0}^{2\pi}\widetilde{p}_{\theta\theta}^{2}d\theta+4\int_{0}^{2\pi}\widetilde{p}_{\theta}^{2}d\theta
=202πp~θθ2𝑑θ+202πp~θ2𝑑θ.\displaystyle=-2\int_{0}^{2\pi}\widetilde{p}_{\theta\theta}^{2}d\theta+2\int_{0}^{2\pi}\widetilde{p}_{\theta}^{2}d\theta.

Together with the Wirtinger inequality, this yields dGdt0\frac{dG}{dt}\leq 0.

Let p~(i)\widetilde{p}^{(i)} be the ii-th derivative of p~\widetilde{p}. Next, we show that p~(i)\widetilde{p}^{(i)} has uniform bounds. Indeed, equation (3.3) is uniformly parabolic since λ(t)\lambda(t) is uniformly bounded. By the maximum principle for uniformly parabolic equations, |p~(θ,t)|C0|\widetilde{p}(\theta,t)|\leq C_{0} holds for a constant C0C_{0} only depending on γ0\gamma_{0}. From the standard regularity theory for uniformly parabolic equations (see Krylov [30]), it yields |p~(i)|Ci|\widetilde{p}^{(i)}|\leq C_{i} holds for i1i\geq 1, where CiC_{i} is a constant independent of time.

One can compute

d2Gdt2=402πp~θθθ2𝑑θ802πp~θθ2𝑑θ+402πp~θ2𝑑θ.\displaystyle\frac{d^{2}G}{dt^{2}}=4\int_{0}^{2\pi}\widetilde{p}_{\theta\theta\theta}^{2}d\theta-8\int_{0}^{2\pi}\widetilde{p}_{\theta\theta}^{2}d\theta+4\int_{0}^{2\pi}\widetilde{p}_{\theta}^{2}d\theta.

Since all the terms of d2Gdt2\frac{d^{2}G}{dt^{2}} have bounds independent of time,

|d2Gdt2|M\left|\frac{d^{2}G}{dt^{2}}\right|\leq M

holds for a constant MM independent of time tt.

Noticing that dGdt\frac{dG}{dt} is nonpositive, the quantity

0dGdt𝑑t=G()G(0)\int_{0}^{\infty}\frac{dG}{dt}dt=G(\infty)-G(0)

has a uniformly lower bound. Then it follows that

limtdGdt=0.\lim_{t\rightarrow\infty}\frac{dG}{dt}=0.

Hence, again by (1.4) and (1.5), one can get limtp~=A0π\lim\limits_{t\rightarrow\infty}\widetilde{p}=\sqrt{\frac{A_{0}}{\pi}}, that is, the limiting curve is a circle centered at (a1,b1)(a_{1},b_{1}) with radius A0π\sqrt{\frac{A_{0}}{\pi}}. ∎

Remark 3.4.

The asymptotic behavior of β\beta for the area-preserving flow (3.1) can be also achieved by the quantity dLdt\frac{dL}{dt}. In fact, the boundedness for high order derivatives of β\beta can deduce d2Ldt2\frac{d^{2}L}{dt^{2}} is uniformly bounded. Together with the fact dLdt0\frac{dL}{dt}\leq 0 and

0dLdt𝑑t=L()L(0)\int_{0}^{\infty}\frac{dL}{dt}dt=L(\infty)-L(0)

has a uniformly lower bound, it yields limtdLdt=0\lim\limits_{t\rightarrow\infty}\frac{dL}{dt}=0. This implies that β\beta tends to a constant as time tt goes to infinity due to the Cauchy-Schwarz inequality.

Lemma 3.5.

Under flow (3.1), |β(i)||\beta^{(i)}| exponentially decays for i1i\geq 1.

Proof.

It follows from (2.9) and integration by parts that

ddt02π(β(i))2𝑑θ=\displaystyle\frac{d}{dt}\int_{0}^{2\pi}\left(\beta^{\left(i\right)}\right)^{2}d\theta= 202πβ(i)βt(i)𝑑θ\displaystyle 2\int_{0}^{2\pi}\beta^{\left(i\right)}\beta_{t}^{\left(i\right)}d\theta
=\displaystyle= 202πβ(i)(βθθ+βλ(t))(i)𝑑θ\displaystyle 2\int_{0}^{2\pi}\beta^{\left(i\right)}\left(\beta_{\theta\theta}+\beta-\lambda\left(t\right)\right)^{\left(i\right)}d\theta
=\displaystyle= 202πβ(i)β(i+2)𝑑θ+202π(β(i))2𝑑θ\displaystyle 2\int_{0}^{2\pi}\beta^{\left(i\right)}\beta^{\left(i+2\right)}d\theta+2\int_{0}^{2\pi}\left(\beta^{(i)}\right)^{2}d\theta
=\displaystyle= 202π(β(i+1))2𝑑θ+202π(β(i))2𝑑θ.\displaystyle-2\int_{0}^{2\pi}\left(\beta^{(i+1)}\right)^{2}d\theta+2\int_{0}^{2\pi}\left(\beta^{(i)}\right)^{2}d\theta.

Together with the inequality

02π(β(i+1))2𝑑θ402π(β(i))2𝑑θfor i1\displaystyle\int_{0}^{2\pi}\left(\beta^{(i+1)}\right)^{2}d\theta\geq 4\int_{0}^{2\pi}\left(\beta^{(i)}\right)^{2}d\theta\qquad\text{for $i\geq 1$ }

derived from the Wirtinger inequality and (2.11), it yields

ddt02π(β(i))2𝑑θ602π(β(i))2𝑑θ.\displaystyle\frac{d}{dt}\int_{0}^{2\pi}\left(\beta^{\left(i\right)}\right)^{2}d\theta\leq-6\int_{0}^{2\pi}\left(\beta^{(i)}\right)^{2}d\theta.

This implies that

02π(β(i)(θ,t))2𝑑θ02π(β(i)(θ,0))2𝑑θe6t.\displaystyle\int_{0}^{2\pi}\left(\beta^{(i)}(\theta,t)\right)^{2}d\theta\leq\int_{0}^{2\pi}\left(\beta^{(i)}(\theta,0)\right)^{2}d\theta\cdot e^{-6t}.

Thus, by the Sobolev inequality appearing in [12, p.90], |β(i)||\beta^{(i)}| exponentially decays for i1i\geq 1. ∎

In order to show that the evolving curve γ(,t)\gamma(\cdot,t) cannot escape to infinity, we need to prove the next necessary lemma.

Lemma 3.6.

Under flow (3.1), one can get

|L22π02πβ2𝑑θ|Λ2e6t,\displaystyle\left|\frac{L^{2}}{2\pi}-\int_{0}^{2\pi}\beta^{2}d\theta\right|\leq\Lambda_{2}e^{-6t},

where Λ2\Lambda_{2} is a constant only depending on γ0\gamma_{0}.

Proof.

Consider the quantity Q=L22π02πβ2𝑑θQ=\frac{L^{2}}{2\pi}-\int_{0}^{2\pi}\beta^{2}d\theta. We first claim that Q0Q\leq 0. Taking F(x)=x2F(x)=x^{2} in the Green-Osher inequality for \ell-convex Legendre curves (see [33, (1.10)]), it has

02πβ2𝑑θL22πAπ.\displaystyle\int_{0}^{2\pi}\beta^{2}d\theta\geq\frac{L^{2}-2\pi A}{\pi}.

From the isoperimetric inequality for \ell-convex Legendre curves, it yields

QL22πL22πAπL24πA2π0.\displaystyle Q\leq\frac{L^{2}}{2\pi}-\frac{L^{2}-2\pi A}{\pi}\leq-\frac{L^{2}-4\pi A}{2\pi}\leq 0.

By (2.9), (1.4), (1.3) and (2.7), one can compute

dQdt\displaystyle\frac{dQ}{dt} =LπLt202πββt𝑑θ\displaystyle=\frac{L}{\pi}L_{t}-2\int_{0}^{2\pi}\beta\beta_{t}d\theta
=LπLt202πβ(βθθ+βλ(t))𝑑θ\displaystyle=\frac{L}{\pi}L_{t}-2\int_{0}^{2\pi}\beta(\beta_{\theta\theta}+\beta-\lambda(t))d\theta
=Lπ02π(βλ(t))𝑑θ+202πβθ2𝑑θ202πβ2𝑑θ+2λ(t)02πβ𝑑θ\displaystyle=\frac{L}{\pi}\int_{0}^{2\pi}(\beta-\lambda(t))d\theta+2\int_{0}^{2\pi}\beta_{\theta}^{2}d\theta-2\int_{0}^{2\pi}\beta^{2}d\theta+2\lambda(t)\int_{0}^{2\pi}\beta d\theta
=Lπ(L2πλ(t))+202πβθ2𝑑θ202πβ2𝑑θ+2Lλ(t)\displaystyle=\frac{L}{\pi}(L-2\pi\lambda(t))+2\int_{0}^{2\pi}\beta_{\theta}^{2}d\theta-2\int_{0}^{2\pi}\beta^{2}d\theta+2L\lambda(t)
=2(L22π02πβ2𝑑θ)+202πβθ2𝑑θ\displaystyle=2\left(\frac{L^{2}}{2\pi}-\int_{0}^{2\pi}\beta^{2}d\theta\right)+2\int_{0}^{2\pi}\beta_{\theta}^{2}d\theta
=2Q+202πβθ2𝑑θ.\displaystyle=2Q+2\int_{0}^{2\pi}\beta_{\theta}^{2}d\theta.

Since inequality (2.12) holds, this can be written as

dQdt\displaystyle\frac{dQ}{dt} 2Q+802π(βL2π)2𝑑θ\displaystyle\geq 2Q+8\int_{0}^{2\pi}\left(\beta-\frac{L}{2\pi}\right)^{2}d\theta
=2Q+802πβ2𝑑θ8Lπ02πβ𝑑θ+4L2π\displaystyle=2Q+8\int_{0}^{2\pi}\beta^{2}d\theta-\frac{8L}{\pi}\int_{0}^{2\pi}\beta d\theta+\frac{4L^{2}}{\pi}
=2Q+802πβ2𝑑θ4L2π\displaystyle=2Q+8\int_{0}^{2\pi}\beta^{2}d\theta-\frac{4L^{2}}{\pi}
=2Q8Q=6Q,\displaystyle=2Q-8Q=-6Q,

which together with Q0Q\leq 0 deduces that

dQ2dt=2QdQdt12Q2.\displaystyle\frac{dQ^{2}}{dt}=2Q\frac{dQ}{dt}\leq-12Q^{2}.

This gives |Q||Q(0)|e6t|Q|\leq|Q(0)|e^{-6t}, the desired result is concluded. ∎

Proposition 3.7.

Under flow (3.1), the evolving curve converges to a limiting circle as time goes to infinity.

Proof.

From the isoperimetric inequality for \ell-convex Legendre curves, it yields

|β1L02πβ2𝑑θ|=\displaystyle\left|\beta-\frac{1}{L}\int_{0}^{2\pi}\beta^{2}d\theta\right|= |βL2π+L2π1L02πβ2𝑑θ|\displaystyle\left|\beta-\frac{L}{2\pi}+\frac{L}{2\pi}-\frac{1}{L}\int_{0}^{2\pi}\beta^{2}d\theta\right|
\displaystyle\leq |βL2π|+|L2π1L02πβ2𝑑θ|\displaystyle\left|\beta-\frac{L}{2\pi}\right|+\left|\frac{L}{2\pi}-\frac{1}{L}\int_{0}^{2\pi}\beta^{2}d\theta\right|
=\displaystyle= |βL2π|+1L|L22π02πβ2𝑑θ|\displaystyle\left|\beta-\frac{L}{2\pi}\right|+\frac{1}{L}\left|\frac{L^{2}}{2\pi}-\int_{0}^{2\pi}\beta^{2}d\theta\right|
\displaystyle\leq |βL2π|+14πA0|L22π02πβ2𝑑θ|.\displaystyle\left|\beta-\frac{L}{2\pi}\right|+\frac{1}{\sqrt{4\pi A_{0}}}\left|\frac{L^{2}}{2\pi}-\int_{0}^{2\pi}\beta^{2}d\theta\right|.

Using Lemma 2.5, Lemma 3.5 and Lemma 3.6, there exists positive constants Λ\Lambda and α\alpha such that

(3.4) |γt|Λeαt.\displaystyle\left|\frac{\partial\gamma}{\partial t}\right|\leq\Lambda e^{-\alpha t}.

This implies that the evolving curve γ(,t)\gamma(\cdot,t) cannot escape to infinity. Due to the Blaschke selection theorem, there exists a subsequence {ti}\{t_{i}\} such that γ(,ti)\gamma(\cdot,t_{i}) converges to a circle with radius A0π\sqrt{\frac{A_{0}}{\pi}} denoted by γ\gamma_{\infty} as tit_{i}\rightarrow\infty. Integrating the first equation in (3.1), we get

γ=0γt𝑑t+γ0\displaystyle\gamma_{\infty}=\int_{0}^{\infty}\frac{\partial\gamma}{\partial t}dt+\gamma_{0} 0|γt|𝑑t+γ0\displaystyle\leq\int_{0}^{\infty}\left|\frac{\partial\gamma}{\partial t}\right|dt+\gamma_{0}
Λα+γ0.\displaystyle\leq\frac{\Lambda}{\alpha}+\gamma_{0}.

This tells us the limit curve γ\gamma_{\infty} will not escape to infinity as time tt\rightarrow\infty.

Suppose that ti>tt_{i}>t, then by (3.4), it has

|γ(,t)γ(,ti)|tti|γτ|𝑑τΛα(eαteαti).\displaystyle|\gamma(\cdot,t)-\gamma(\cdot,t_{i})|\leq\int_{t}^{t_{i}}\left|\frac{\partial\gamma}{\partial\tau}\right|d\tau\leq\frac{\Lambda}{\alpha}(e^{-\alpha t}-e^{-\alpha t_{i}}).

This deduces that

|γ(,t)γ|Λαeαt\displaystyle|\gamma(\cdot,t)-\gamma_{\infty}|\leq\frac{\Lambda}{\alpha}e^{-\alpha t}

as time tit_{i}\rightarrow\infty, which shows that the evolving curve cannot oscillate indefinitely and converges to a limit circle. ∎

Proof of Theorem 1.1 Since adding the tangential vector field for flow (1.9) when λ(t)=1L02πβ2𝑑θ\lambda(t)=\frac{1}{L}\int_{0}^{2\pi}\beta^{2}d\theta does not affect the geometric shape of the evolving curve, flow (1.9) can be equivalently reduced to (3.1). Proposition 3.2 shows that the term λ(t)\lambda(t) is uniformly bounded. Lemma 2.2 and Lemma 2.4 implies that an \ell-convex Legendre curve evolving according to (3.1) remains so and the long time existence for this flow is obtained. Proposition 3.7 deduces that the evolving curve γ(,t)\gamma(\cdot,t) cannot escape to infinity. Meanwhile, Proposition 3.3 implies that the evolving curve converges to a circle of radius A0π\sqrt{\frac{A_{0}}{\pi}}. Finally, Lemma 3.5 says that the flow (3.1) converges in the CC^{\infty} sense as time tt goes to infinity.∎

4. The length-preserving flow

Choosing λ(t)=L2π\lambda(t)=\frac{L}{2\pi} in (1.9) that is equivalent to letting f=βL2πf=\beta-\frac{L}{2\pi} in (2.2), the flow (1.9) becomes the following equivalent evolution problem

(4.1) {γt=(βL2π)μ+(βL2π)ν,νt=0.\begin{cases}\frac{\partial\gamma}{\partial t}=(\beta-\frac{L}{2\pi})^{\prime}\mu+(\beta-\frac{L}{2\pi})\nu,\\ \frac{\partial\nu}{\partial t}=0.\end{cases}
Lemma 4.1.

Under flow (4.1), the algebraic length of γ(θ,t)\gamma(\theta,t) keeps fixed and the associated algebraic area is increasing.

Proof.

The algebraic length of γ(θ,t)\gamma(\theta,t) is fixed derived from (2.7). By (2.8), (1.4) and (1.3), it yields that

(4.2) dAdt=02πβ2𝑑θL22π,\displaystyle\frac{dA}{dt}=\int_{0}^{2\pi}\beta^{2}d\theta-\frac{L^{2}}{2\pi},

Together with the Cauchy-Schwarz inequality, it yields dAdt0\frac{dA}{dt}\geq 0, which deduces that the algebraic area of γ(θ,t)\gamma(\theta,t) is increasing. ∎

Proposition 4.2.

Suppose that the initial \ell-convex Legendre curve is of algebraic length L0L_{0}. Under flow (4.1), the evolving curve converges to a circle with radius L02π\frac{L_{0}}{2\pi}. Specially, if L0=0L_{0}=0, then the limiting circle becomes a point.

Proof.

Step 1. βL02π\beta\rightarrow\frac{L_{0}}{2\pi} as tt\rightarrow\infty

Since flow (4.1) is length-preserving, by Lemma 2.4 and Lemma 2.5, βL02π\beta\rightarrow\frac{L_{0}}{2\pi} as tt\rightarrow\infty.

Step 2. The limiting curve is a circle

Let p(θ,t)p(\theta,t) be the support function of the evolving curve γ(θ,t)\gamma(\theta,t). Set

a1(t)=1π02πp(θ,t)cosθdθandb1(t)=1π02πp(θ,t)sinθdθ.a_{1}(t)=\frac{1}{\pi}\int_{0}^{2\pi}p(\theta,t)\cos\theta d\theta\quad\text{and}\quad b_{1}(t)=\frac{1}{\pi}\int_{0}^{2\pi}p(\theta,t)\sin\theta d\theta.

A simple computation as in Proposition 3.3 tells us a1(t)a_{1}(t) and b1(t)b_{1}(t) are constants independent of time, denoted by (a1,b1)(a_{1},b_{1}).

Assume that p¯(θ,t)=p(θ,t)a1cosθb1sinθ\overline{p}(\theta,t)=p(\theta,t)-a_{1}\cos\theta-b_{1}\sin\theta, then β¯=β\overline{\beta}=\beta and

p¯t=p¯θθ+p¯L2π.\displaystyle\overline{p}_{t}=\overline{p}_{\theta\theta}+\overline{p}-\frac{L}{2\pi}.

Noticing that

02π(p¯L2π)𝑑θ=02π(p¯L2π)cosθdθ=02π(p¯L2π)sinθdθ=0,\displaystyle\int_{0}^{2\pi}\left(\overline{p}-\frac{L}{2\pi}\right)d\theta=\int_{0}^{2\pi}\left(\overline{p}-\frac{L}{2\pi}\right)\cos\theta d\theta=\int_{0}^{2\pi}\left(\overline{p}-\frac{L}{2\pi}\right)\sin\theta d\theta=0,

one has

02π(p¯L2π)θ2𝑑θ402π(p¯L2π)2𝑑θ.\displaystyle\int_{0}^{2\pi}\left(\overline{p}-\frac{L}{2\pi}\right)_{\theta}^{2}d\theta\geq 4\int_{0}^{2\pi}\left(\overline{p}-\frac{L}{2\pi}\right)^{2}d\theta.

Then,

ddt02π(p¯L2π)2𝑑θ\displaystyle\frac{d}{dt}\int_{0}^{2\pi}\left(\overline{p}-\frac{L}{2\pi}\right)^{2}d\theta =202π(p¯L2π)p¯t𝑑θ\displaystyle=2\int_{0}^{2\pi}\left(\overline{p}-\frac{L}{2\pi}\right)\overline{p}_{t}d\theta
=202π(p¯L2π)(p¯θθ+p¯L2π)𝑑θ\displaystyle=2\int_{0}^{2\pi}\left(\overline{p}-\frac{L}{2\pi}\right)\left(\overline{p}_{\theta\theta}+\overline{p}-\frac{L}{2\pi}\right)d\theta
=202π(p¯L2π)2𝑑θ202π(p¯L2π)θ2𝑑θ\displaystyle=2\int_{0}^{2\pi}\left(\overline{p}-\frac{L}{2\pi}\right)^{2}d\theta-2\int_{0}^{2\pi}\left(\overline{p}-\frac{L}{2\pi}\right)_{\theta}^{2}d\theta
602π(p¯L2π)2𝑑θ,\displaystyle\leq-6\int_{0}^{2\pi}\left(\overline{p}-\frac{L}{2\pi}\right)^{2}d\theta,

which implies that p¯L02π\overline{p}\rightarrow\frac{L_{0}}{2\pi} as tt\rightarrow\infty, that is, the limiting curve is a circle of radius L02π\frac{L_{0}}{2\pi} centered at (a1,b1)(a_{1},b_{1}).

Specially, if L0=0L_{0}=0, then the limit circle turns into a point (a1,b1)(a_{1},b_{1}) that is circle of radius zero. ∎

By a similar proof as in Lemma 3.5, one can get

Lemma 4.3.

Under flow (4.1), |β(i)||\beta^{(i)}| exponentially decays for i1i\geq 1.

Combining Lemma 2.4 and Lemma 4.3, we have

Proposition 4.4.

Under flow (4.1), the evolving curve converges to a limiting circle as time goes to infinity.

Proof.

Since the proof is alomst the same as Proposition 3.7, we omit the detailed reasoning procession. ∎

Proof of Theorem 1.3 Since adding the tangential vector field for flow (1.9) when λ(t)=2πL\lambda(t)=\frac{2\pi}{L} does not affect the geometric shape of the evolving curve, flow (1.9) can be equivalently reduced to (4.1). Since flow (4.1) is length-preserving, Lemma 2.2 and Lemma 2.4 implies that an \ell-convex Legendre curve evolving according to (4.1) remains so and the long time existence for this flow is achieved. Proposition 4.4 deduces that the evolving curve γ(,t)\gamma(\cdot,t) cannot escape to infinity. Then, Proposition 4.2 implies that the evolving curve converges to a circle of radius L02π\frac{L_{0}}{2\pi} and the limit circle becomes a point when L0=0L_{0}=0. At last, Lemma 4.3 says that the flow (4.1) converges in the CC^{\infty} sense as time tt goes to infinity. ∎

5. Some applications

In this section, we obtain some geometric inequalities for \ell-convex Legendre curves via the length-preserving inverse curvature flow (4.1).

First, we show the isoperimetric inequality for \ell-convex curves.

Theorem 5.1.

Let γ\gamma be an \ell-convex curve with algebraic length LL and algebraic area AA, then

(5.1) L24πA0L^{2}-4\pi A\geq 0

with equality if and only if γ\gamma is a circle.

Proof.

Under flow (4.1), since it is length-preserving, from Lemma 4.1 and the Cauchy-Schwarz inequality, the quantity U=L24πAU=L^{2}-4\pi A is strict decreasing unless the evolving curve is a circle. Thus, U(t)U()=0U(t)\geq U(\infty)=0 and equality holds if and only if the evolving curve is a circle. This deduces the desired result. ∎

Next, we show the generalizations for inequalities (1.11), (1.12) and (1.13).

Proposition 5.2.

Let γ\gamma be an \ell-convex curve of algebraic length LL and algebraic area AA, then

(5.2) 02πβ2(θ)𝑑θ2A+τ(L24πA)\int_{0}^{2\pi}\beta^{2}(\theta)d\theta\geq 2A+\tau\left(\frac{L^{2}}{4\pi}-A\right)

holds for any τ8\tau\leq 8, and the equality holds if γ\gamma is a circle. Moreover, for any τ<8\tau<8, if the equality in (5.2) holds, then γ\gamma is a circle, and for τ=8\tau=8, if the equality holds, then the support function of γ\gamma is of the form p(θ)=a0+a1cosθ+b1sinθ+a2cos2θ+b2sin2θp(\theta)=a_{0}+a_{1}\cos\theta+b_{1}\sin\theta+a_{2}\cos 2\theta+b_{2}\sin 2\theta.

Proof.

Consider the quantity W=02πβ2𝑑θ2Aτ(L24πA)W=\int_{0}^{2\pi}\beta^{2}d\theta-2A-\tau\left(\frac{L^{2}}{4\pi}-A\right). Compute that

dWdt=202πββt𝑑θ+(τ2)At.\displaystyle\frac{dW}{dt}=2\int_{0}^{2\pi}\beta\beta_{t}d\theta+(\tau-2)A_{t}.

From (2.5), integration by parts and (4.2), the above expression can be rewritten as

dWdt=202πβθ2𝑑θ+τAt.\displaystyle\frac{dW}{dt}=-2\int_{0}^{2\pi}\beta_{\theta}^{2}d\theta+\tau A_{t}.

Together with (2.12), (1.4) and (4.2), this yields

dWdt(τ8)At=(τ8)(02πβ2𝑑θL22π).\displaystyle\frac{dW}{dt}\leq(\tau-8)A_{t}=(\tau-8)\left(\int_{0}^{2\pi}\beta^{2}d\theta-\frac{L^{2}}{2\pi}\right).

When τ<8\tau<8, due to the Cauchy-Schwarz inequality, the quantity WW is strict decreasing unless the evolving curve is a circle. Thus, W(t)W()=0W(t)\geq W(\infty)=0, which deduces inequality (5.2) and with equality holds if and only if the evolving curve is a circle.

Note that the inequality (2.12) is strict unless the support function of evolving curve is of form p(θ,t)=L2π+a1(t)cosθ+b1(t)sinθ+a2(t)cos2θ+b2(t)sin2θp(\theta,t)=\frac{L}{2\pi}+a_{1}(t)\cos\theta+b_{1}(t)\sin\theta+a_{2}(t)\cos 2\theta+b_{2}(t)\sin 2\theta. This implies that the quantity WW is strict decreasing in the case τ=8\tau=8. Hence, W(t)W()=0W(t)\geq W(\infty)=0, that is, (5.2) holds and with equality if and only if the support function of evolving curve is of form p(θ,t)=L2π+a1(t)cosθ+b1(t)sinθ+a2(t)cos2θ+b2(t)sin2θp(\theta,t)=\frac{L}{2\pi}+a_{1}(t)\cos\theta+b_{1}(t)\sin\theta+a_{2}(t)\cos 2\theta+b_{2}(t)\sin 2\theta. ∎

By (5.2) and (1.7), we have

Corollary 5.3.

Let γ\gamma be an \ell-convex curve with algebraic length L=0L=0 and algebraic area AA, then

(5.3) 02πβ2(θ)𝑑θ+τA0\int_{0}^{2\pi}\beta^{2}(\theta)d\theta+\tau A\geq 0

holds for any τ6\tau\leq 6, and the equality holds if γ\gamma is a point. Moreover, for any τ<6\tau<6, if the equality in (5.3) holds, then γ\gamma is a point, and for τ=6\tau=6, if the equality holds, then the support function of γ\gamma is of the form p(θ)=a1cosθ+b1sinθ+a2cos2θ+b2sin2θp(\theta)=a_{1}\cos\theta+b_{1}\sin\theta+a_{2}\cos 2\theta+b_{2}\sin 2\theta.

Theorem 5.4.

If γ\gamma is an \ell-convex curve, then

(5.4) 02πβθ2𝑑θξ(L24πA)\int_{0}^{2\pi}\beta_{\theta}^{2}d\theta\geq\xi\left(\frac{L^{2}}{4\pi}-A\right)

holds for ξ24\xi\leq 24, and the equality holds if γ\gamma is a circle. Moreover, for any ξ<24\xi<24, if the equality in (5.4) holds, then γ\gamma is a circle, and for ξ=24\xi=24, if the equality in (5.4) holds if and only if γ\gamma is of support function

p(θ)=a0+a1cosθ+b1sinθ+a2cos2θ+b2sin2θ.p(\theta)=a_{0}+a_{1}\cos\theta+b_{1}\sin\theta+a_{2}\cos 2\theta+b_{2}\sin 2\theta.
Proof.

Consider the quantity V=02πβθ2𝑑θξ(L24πA)V=\int_{0}^{2\pi}\beta_{\theta}^{2}d\theta-\xi\left(\frac{L^{2}}{4\pi}-A\right). It follows from (2.5), integration by parts and (4.2) that

dVdt=202πβθθ2𝑑θ+02πβθ2𝑑θ+ξAt.\displaystyle\frac{dV}{dt}=-2\int_{0}^{2\pi}\beta_{\theta\theta}^{2}d\theta+\int_{0}^{2\pi}\beta_{\theta}^{2}d\theta+\xi A_{t}.

Due to (2.11),

02πβθ𝑑θ=0,\displaystyle\int_{0}^{2\pi}\beta_{\theta}d\theta=0,
02πβθcosθdθ=02πβθsinθdθ=0,\displaystyle\int_{0}^{2\pi}\beta_{\theta}\cos\theta d\theta=\int_{0}^{2\pi}\beta_{\theta}\sin\theta d\theta=0,

we have

(5.5) 02πβθθ2𝑑θ402πβθ2𝑑θ.\displaystyle\int_{0}^{2\pi}\beta_{\theta\theta}^{2}d\theta\geq 4\int_{0}^{2\pi}\beta_{\theta}^{2}d\theta.

Combine (2.12), (1.4) and (4.2), it yields

dVdt(ξ24)At=(ξ24)(02πβ2𝑑θL22π).\displaystyle\frac{dV}{dt}\leq(\xi-24)A_{t}=(\xi-24)\left(\int_{0}^{2\pi}\beta^{2}d\theta-\frac{L^{2}}{2\pi}\right).

For the case ξ<24\xi<24, from the Cauchy-Schwarz inequality, the quantity VV is strict decreasing unless the evolving curve is a circle. Hence, V(t)V()=0V(t)\geq V(\infty)=0, which deduces (5.4) holds and with equality if and only if the evolving curve is a circle.

Since the inequalities (2.12) and (5.5) are strict unless the support function of evolving curve is of form p(θ,t)=L2π+a1(t)cosθ+b1(t)sinθ+a2(t)cos2θ+b2(t)sin2θp(\theta,t)=\frac{L}{2\pi}+a_{1}(t)\cos\theta+b_{1}(t)\sin\theta+a_{2}(t)\cos 2\theta+b_{2}(t)\sin 2\theta, the quantity VV is strict decreasing for the case ξ=24\xi=24. This leads to V(t)V()=0V(t)\geq V(\infty)=0, and thus, (5.4) holds and with equality if and only if the support function of evolving curve is of form p(θ,t)=L2π+a1(t)cosθ+b1(t)sinθ+a2(t)cos2θ+b2(t)sin2θp(\theta,t)=\frac{L}{2\pi}+a_{1}(t)\cos\theta+b_{1}(t)\sin\theta+a_{2}(t)\cos 2\theta+b_{2}(t)\sin 2\theta. ∎

As a natural corollary of inequality (5.4), we have

Corollary 5.5.

Let γ\gamma be an \ell-convex curve with algebraic length L=0L=0 and algebraic area AA, then

(5.6) 02πβθ2𝑑θ+ξA0\int_{0}^{2\pi}\beta_{\theta}^{2}d\theta+\xi A\geq 0

holds for any ξ24\xi\leq 24, and the equality holds if γ\gamma is a point. Moreover, for any ξ<24\xi<24, if the equality in (5.6) holds, then γ\gamma is a point, and for ξ=24\xi=24, if the equality holds, then the support function of γ\gamma is of the form p(θ)=a1cosθ+b1sinθ+a2cos2θ+b2sin2θp(\theta)=a_{1}\cos\theta+b_{1}\sin\theta+a_{2}\cos 2\theta+b_{2}\sin 2\theta.

Data availability  Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

Conflict of interest  On behalf of all authors, the corresponding author states that there is no conflict of interest.

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