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Existence of quasi-static crack evolution for atomistic systems

Rufat Badal Department of Mathematics, Friedrich-Alexander Universität Erlangen-Nürnberg. Cauerstr. 11, D-91058 Erlangen, Germany rufat.badal@fau.de Manuel Friedrich Department of Mathematics, Friedrich-Alexander Universität Erlangen-Nürnberg. Cauerstr. 11, D-91058 Erlangen, Germany, & Mathematics Münster, University of Münster, Einsteinstr. 62, D-48149 Münster, Germany manuel.friedrich@fau.de  and  Joscha Seutter Department of Mathematics, Friedrich-Alexander Universität Erlangen-Nürnberg. Cauerstr. 11, D-91058 Erlangen, Germany & Competence Unit for Scientific Computing (CSC), Friedrich-Alexander Universität Erlangen-Nürnberg (FAU) joscha.seutter@fau.de
Abstract.

We consider atomistic systems consisting of interacting particles arranged in atomic lattices whose quasi-static evolution is driven by time-dependent boundary conditions. The interaction of the particles is modeled by classical interaction potentials where we implement a suitable irreversibility condition modeling the breaking of atomic bonding. This leads to a delay differential equation depending on the complete history of the deformation at previous times. We prove existence of solutions and provide numerical tests for the prediction of quasi-static crack growth in particle systems.

Key words and phrases:
Atomistic systems, delay differential equations, minimizing movements, quasi-static crack growth, irreversibility condition

1. Introduction

The theory of brittle fracture is based on the fundamental idea that the formation of cracks may be seen as the result of the competition between the elastic bulk energy of the body and the work needed to produce a new crack. Despite its long history in mechanics dating back to [29], a rigorous mathematical formulation of the problem is much more recent: in the variational model of quasi-static crack growth proposed in [22], displacements and crack paths are determined from an energy minimization principle, reflecting suitably the three foundational ingredients of Griffith’s theory: (1) a surface energy associated to discontinuities of the deformation, (2) a propagation criterion for those surfaces, and (3) an irreversibility condition for the fracture process.

The mathematical well-posedness of the variational model [22] has been the subject of several contributions over the last two decades, see e.g. [16, 17, 21, 27]. The proof of continuous-time evolutions is based on approximation by time-discretized versions resulting from a sequence of minimization problems of so-called Griffith functionals, being variants of the Mumford & Shah functional [31]. Functionals of this type comprising elastic bulk contributions for the sound regions of the body and surface terms along the crack have been studied extensively in the last years in the natural weak framework of special functions of bounded variation. We refer to [6] for a thorough overview of the variational approach to fracture. In particular, it has been shown that such continuum models can be identified as effective limits derived from atomistic systems as the interatomic distance tends to zero [12, 14, 24]. Asymptotic analysis of this kind is notoriously difficult, and is not based on simply taking pointwise limits but rather on a variational convergence, called Γ\Gamma-convergence [15], which in this setting ensures convergence of minimizers of the atomistic system to the ones of the continuum problem.

Although studies on atomistic-to-continuum passages are flourishing, most results are static and the evolutionary nature of processes is mostly neglected. Our goal is to advance this understanding by establishing a rigorous connection between atomistic and continuum models in brittle fracture for the prediction of quasi-static crack growth. In this contribution, we perform the first step in this direction by setting up a suitable quasi-static model on the atomistic level respecting the irreversibility condition of Griffith’s theory. The passage to continuum models of quasi-static crack growth will be discussed in a forthcoming work [26].

We consider atomistic systems consisting of interacting particles arranged in an atomic lattice occupying a bounded region representing the reference domain of a material. The interaction of the atoms is modeled by classical potentials in the frame of Molecular Mechanics, e.g. by Lennard-Jones potentials. Based on an energy minimization principle, the deformation of the particles is driven by time-dependent boundary conditions. This leads to an evolution of gradient-flow type. Whereas the study of interacting particles motion is classical, the novelty of our contribution lies in implementing an irreversibility condition along the evolution. As long as the length of interactions does not exceed a certain threshold, interactions are considered to be ‘elastic’ and can recover completely after removal of loading. Otherwise, interactions are supposed to be ‘damaged’, and the system is affected at the present and all future times. Here, we suitably adapt the maximal opening memory variable used in continuum models for cohesive crack evolutions [18, 28] to the atomistic setting.

This results in a delay differential equation taking the complete history of the deformation into account. Our approach is based on the assumption that the boundary loading varies slowly in time compared to the elastic wave speed of the material. Therefore, inertial effects are neglected, and the delay differential equation is a first order equation in time. Our main result consists in proving existence of solutions, see Theorem 2.2, where the strategy relies on a time-incremental scheme, the so-called minimizing movement scheme for gradient flows [4, 19, 32]. Similarly to the continuum model [21], due to the presence of an irreversibility condition and the memory effect, the main difficulty lies in the passage to the limit as the time-discretization step τ\tau tends to zero. In particular, we use an evolutionary model of rate type in order to obtain uniform convergence in time as τ0\tau\to 0. This allows to pass to the limit in the memory variable, see Remark 4.3 for some details.

Let us highlight that our approach is rather simplistic and does not reflect the physical reality of fracture in brittle substances in its whole complexity. On the one hand, our modeling of elastic and damaged interactions is not justified by formation and dissociation of chemical bonding but inspired by a continuum mechanics perspective on brittle fracture. In this sense, we believe that our model may be relevant as a discretization of quasi-static crack evolution from continuum theory. On the other hand, physically relevant interatomic potentials describing the behavior of brittle materials need to encompass multi-body contributions, at least three-body potentials [11, 35, 36]. Following the approach of several studies on variational atomistic fracture [1, 7, 8, 10, 23], we focus here on configurational energies consisting purely of pair interactions. Nevertheless, we present a possible extension of our model to three-body potentials in Subsection 2.4.

Our analysis is at the basis of a forthcoming work [26] where we study the evolution of the model in the passage to continuum problems, i.e., when the interatomic distance tends to zero. Indeed, in the static case, Γ\Gamma-limits of suitable atomistic systems can be identified as free discontinuity functionals of Griffith-type [14, 24] featuring a linearly elastic bulk energy and surface contributions proportional to the length of the crack. For these continuum models, existence results for quasi-static crack evolutions have been derived in [21, 27]. We will identify evolutions of this form as limits of the solutions to the atomistic delay differential equations in the atomistic-to-continuum limit.

The paper is organized as follows. In Section 2 we introduce the model and present the main results. Section 3 is devoted to some explicit examples of possible atomistic systems, and provides several numerical experiments of our model in one and two dimensions. Eventually, Section 4 contains the proofs of our results. We close the introduction with some notation. In the following, we denote by |||\cdot| the standard Euclidean norm in m\mathbb{R}^{m} for mm\in\mathbb{N}. For the scalar product of two vectors v,wmv,w\in\mathbb{R}^{m}, we write vwv\cdot w. We let ab:=max{a,b}a\vee b:=\max\{a,b\} for a,ba,b\in\mathbb{R}. As usual, generic constants in proofs are denoted by CC and may change from line to line.

2. The model and main results

2.1. Deformations and interaction energy

We describe the atomistic deformation of a material occupying an open, bounded set Ωd\Omega\subset\mathbb{R}^{d} in dimension d{1,2,3}d\in\{1,2,3\}. By d\mathcal{L}\subset\mathbb{R}^{d} we denote an arbitrary but fixed lattice, and let (Ω)=Ω\mathcal{L}(\Omega)=\Omega\cap\mathcal{L} be the positions of the atoms (or particles) in the specimen in the reference configuration. The deformation of the particles is described through a map y:(Ω)ny\colon\mathcal{L}(\Omega)\to\mathbb{R}^{n}, where for each x(Ω)x\in\mathcal{L}(\Omega) the vector y(x)ny(x)\in\mathbb{R}^{n} indicates the position of xx in the deformed configuration. (The typical choice is n=dn=d.)

We model the interaction of the atoms by classical potentials in the frame of Molecular Mechanics [2, 30]: given a deformation y:(Ω)ny\colon\mathcal{L}(\Omega)\to\mathbb{R}^{n}, we assign a phenomenological energy (y)\mathcal{E}(y) to the deformation by

(y)=12x,x(Ω)xxWx,x(|y(x)y(x)|),\displaystyle\mathcal{E}(y)=\frac{1}{2}\sum_{\underset{x\neq x^{\prime}}{x,x^{\prime}\in\mathcal{L}(\Omega)}}W_{x,x^{\prime}}\big{(}|y(x)-y(x^{\prime})|\big{)}, (2.1)

where Wx,x:[0,)W_{x,x^{\prime}}\colon[0,\infty)\to\mathbb{R} denotes a smooth two-body interaction potential, with Wx,x=Wx,xW_{x,x^{\prime}}=W_{x^{\prime},x}. The factor 12\frac{1}{2} accounts for the fact that every contribution is counted twice in the sum. It is also possible that the sum ranges only over a subset of all pairs by simply setting Wx,x0W_{x,x^{\prime}}\equiv 0 for certain interactions. Whenever Wx,x0W_{x,x^{\prime}}\neq 0, the potential is supposed to be repulsive for small distances and attractive for long distances, a classical choice being a potential of Lennard-Jones-type. More specifically, we assume that Wx,xW_{x,x^{\prime}} satisfies

  1. (i)

    limr0Wx,x(r)=\lim_{r\searrow 0}W_{x,x^{\prime}}(r)=\infty;

  2. (ii)

    Wx,x(r)W_{x,x^{\prime}}(r) is minimal if and only if r=|xx|r=|x-x^{\prime}| with Wx,x(|xx|)<0W_{x,x^{\prime}}(|x-x^{\prime}|)<0;

  3. (iii)

    Wx,x(r)W_{x,x^{\prime}}(r) is decreasing for r<|xx|r<|x-x^{\prime}| and increasing for r>|xx|r>|x-x^{\prime}|;

  4. (iv)

    limr+Wx,x(r)=limr+ddrWx,x(r)=limr+d2d2rWx,x(r)=0\lim_{r\to+\infty}W_{x,x^{\prime}}(r)=\lim_{r\to+\infty}\frac{{\rm d}}{{\rm d}r}W_{x,x^{\prime}}(r)=\lim_{r\to+\infty}\frac{{\rm d}^{2}}{{\rm d}^{2}r}W_{x,x^{\prime}}(r)=0.

The repulsion effect (i) describes the Pauli repulsion at short distances of the interacting particles due to overlapping electron orbitals, and (ii)-(iv) correspond to attraction at long ranged interactions vanishing at infinity. Some toy examples of lattices and possible configurational energies are given below in Section 3. Let us mention that we restrict our model to pair interactions equilibrated in the reference configuration (see Assumption (ii)) for mere simplicity. The model could be generalized to pre-stressed interactions, and multi-body, non-local, and multiscale energies could be considered, see e.g. [12] for a very general framework. We include, however, non-homogeneous interactions as all potentials Wx,xW_{x,x^{\prime}} can be different. A possible extension featuring three-body potentials is addressed in Subsection 2.4 below.

By ε:=min{|xx|:x,x(Ω),xx}\varepsilon:=\min\{|x-x^{\prime}|\colon x,x^{\prime}\in\mathcal{L}(\Omega),\,x\neq x^{\prime}\} we denote the minimal interatomic distance. A huge body of literature deals with effective descriptions of atomistic energies of the form (2.1) when the interatomic distance ε\varepsilon tends to 0. This passage from atomistic to continuum models is nontrivial even for simple energies and might lead to very different asymptotic behavior, see [5] for taking pointwise limits and [9] for an overview of a variational perspective. For interaction densities of the above form, it has been shown in [14, 24] that effective continuum energies lead to so-called Griffith energy functionals featuring both bulk and surface terms. In the present contribution, the number of atoms and ε\varepsilon are fixed. The study of an evolutionary model as ε0\varepsilon\to 0 is deferred to a forthcoming paper [26].

Following the discussion in [33, 24], we impose Dirichlet boundary condition on a part DΩΩ\partial_{D}\Omega\subset\partial\Omega of the boundary. More precisely, consider a neighborhood UΩU\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}\subset\Omega of DΩ\partial_{D}\Omega such that D(Ω):=(Ω)U\mathcal{L}_{D}(\Omega):=\mathcal{L}(\Omega)\cap U\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}\neq\emptyset. For a function g:D(Ω)ng\colon\mathcal{L}_{D}(\Omega)\to\mathbb{R}^{n}\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}, we define the admissible deformations by

𝒜(g):={y:(Ω)n:y(x)=g(x) for all xD(Ω);(y)<}.\mathcal{A}(g):=\big{\{}y\colon\mathcal{L}(\Omega)\to\mathbb{R}^{n}\colon\,y(x)=g(x)\ \ \text{ for all }x\in\mathcal{L}_{D}(\Omega);\,\mathcal{E}(y)<\infty\big{\}}.

Instead of (or additional to) Dirichlet boundary conditions, one could also consider body or boundary forces. However, as traction tests with body forces are ill-posed for Griffith functionals in a continuum variational formulation, we prefer to focus on boundary value problems also on the atomistic level. For a thorough discussion on the comparison of soft and hard devices in the context of the variational formulation of Griffith’s fracture, we refer the reader to [6, Section 3].

2.2. Evolutionary model: Irreversibility condition and memory variable

Based on the energy (2.1), we will now introduce an evolutionary model on a process time interval [0,T][0,T], where the evolution will be driven by time dependent boundary conditions g:[0,T]×D(Ω)ng\colon[0,T]\times\mathcal{L}_{D}(\Omega)\to\mathbb{R}^{n}. The key feature in the modeling is to implement an irreversibility condition along the fracture process for each pair interaction of (x,x)(x,x^{\prime}), once the length |y(x)y(x)||y(x)-y(x^{\prime})| of the interaction exceeds the elastic regime. As long as |y(x)y(x)||y(x)-y(x^{\prime})| does not surpass a threshold Rx,x1=Rx,x1R^{1}_{x,x^{\prime}}=R^{1}_{x^{\prime},x} satisfying Rx,x1>|xx|R^{1}_{x,x^{\prime}}>|x-x^{\prime}|, the pair interaction can recover completely after removal of loading. By contrast, if |y(x)y(x)||y(x)-y(x^{\prime})| exceeds Rx,x1R^{1}_{x,x^{\prime}} at some earlier time, the interaction is supposed to be ‘damaged’, and the system should be affected at the present time, i.e., the complete history of the deformation undergone by the atomistic system should be reflected at present time. This corresponds to a model of cohesive type energy á la Barenblatt [13].

To describe this, we fix t[0,T]t\in[0,T], a deformation yy at time tt, and suppose that a finite or infinite family of deformations (ys)s<t(y_{s})_{s<t} at previous times is given. The interaction of (x,x)(x,x^{\prime}) at time tt is considered to be elastic if |ys(x)ys(x)|Rx,x1|y_{s}(x)-y_{s}(x^{\prime})|\leq R^{1}_{x,x^{\prime}} for all s<ts<t. Otherwise, we adopt as memory variable the maximal opening as implemented, e.g. in the continuum models [18, 28], see also [6, Section 5.2]. Writing

Mx,x((ys)s<t)=sups<t|ys(x)ys(x)||xx|\displaystyle M_{x,x^{\prime}}((y_{s})_{s<t})=\sup_{s<t}|y_{s}(x^{\prime})-y_{s}(x)|\vee|x-x^{\prime}|\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0} (2.2)

for the memory variable, the energy contribution with memory reads as

Wx,x(Mx,x((ys)s<t)|y(x)y(x)|).\displaystyle W_{x,x^{\prime}}\Big{(}M_{x,x^{\prime}}((y_{s})_{s<t})\vee|y(x^{\prime})-y(x)|\Big{)}. (2.3)

Other choices, such as that of a cumulative increment, could also be made, but are not discussed in this paper. Note that by implementing the memory variable, the repulsion effect for small distances (Assumption (i)) is lost and (2.3) does not describe correctly the Pauli repulsion at short distances of the interacting particles. Therefore, for the energy contribution of a damaged interaction we rather use

Wx,x(|y(x)y(x)|)Wx,x(Mx,x((ys)s<t)|y(x)y(x)|).\displaystyle W_{x,x^{\prime}}(|y(x^{\prime})-y(x)|)\vee W_{x,x^{\prime}}\Big{(}M_{x,x^{\prime}}((y_{s})_{s<t})\vee|y(x^{\prime})-y(x)|\Big{)}.

Clearly, by Assumption (iii) this is equal to

Wx,x(|y(x)y(x)|)Wx,x(Mx,x((ys)s<t)).\displaystyle W_{x,x^{\prime}}(|y(x^{\prime})-y(x)|)\vee W_{x,x^{\prime}}\Big{(}M_{x,x^{\prime}}((y_{s})_{s<t})\Big{)}. (2.4)

This notion is rather simplistic and one drawback lies in the sharp transition between elastic and inelastic behavior. To remedy this, we introduce a second threshold Rx,x2>Rx,x1R^{2}_{x,x^{\prime}}>R^{1}_{x,x^{\prime}} and assume that in the transition zone (Rx,x1,Rx,x2)(R^{1}_{x,x^{\prime}},R^{2}_{x,x^{\prime}}) the interaction can partially recover, i.e., the energy contribution still partly depends on the current deformation. Let φx,x:[0,)[0,1]\varphi_{x,x^{\prime}}\colon[0,\infty)\to[0,1] be continuous and increasing with φx,x(r)=0\varphi_{x,x^{\prime}}(r)=0 for rRx,x1r\leq R^{1}_{x,x^{\prime}} and φx,x(r)=1\varphi_{x,x^{\prime}}(r)=1 for rRx,x2r\geq R^{2}_{x,x^{\prime}}. Define the energy contribution as

Ex,x(y;(ys)s<t):=\displaystyle{E}_{x,x^{\prime}}(y;(y_{s})_{s<t}):= (1φx,x(Mx,x((ys)s<t)))Wx,x(|y(x)y(x)|)\displaystyle\big{(}1-\varphi_{x,x^{\prime}}\big{(}M_{x,x^{\prime}}((y_{s})_{s<t})\big{)}\big{)}W_{x,x^{\prime}}\big{(}|y(x^{\prime})-y(x)|\big{)} (2.5)
+φx,x(Mx,x((ys)s<t))(Wx,x(|y(x)y(x)|)Wx,x(Mx,x((ys)s<t))).\displaystyle+\varphi_{x,x^{\prime}}\big{(}M_{x,x^{\prime}}((y_{s})_{s<t})\big{)}\Big{(}W_{x,x^{\prime}}(|y(x^{\prime})-y(x)|)\vee W_{x,x^{\prime}}(M_{x,x^{\prime}}((y_{s})_{s<t}))\Big{)}.

Note that formally this would correspond to (2.4) for the (not admissible) choice φx,x(r)=0\varphi_{x,x^{\prime}}(r)=0 for rRx,x1r\leq R^{1}_{x,x^{\prime}} and φx,x(r)=1\varphi_{x,x^{\prime}}(r)=1 for r>Rx,x1r>R^{1}_{x,x^{\prime}}. In particular, (2.5) implies

Ex,x(y;(ys)s<t)=Wx,x(|y(x)y(x)|) if Mx,x((ys)s<t)Rx,x1{E}_{x,x^{\prime}}(y;(y_{s})_{s<t})=W_{x,x^{\prime}}\big{(}|y(x^{\prime})-y(x)|\big{)}\quad\text{ if }M_{x,x^{\prime}}((y_{s})_{s<t})\leq R^{1}_{x,x^{\prime}}
Ex,x(y;(ys)s<t)=Wx,x(|y(x)y(x)|)Wx,x(Mx,x((ys)s<t)) if Mx,x((ys)s<t)Rx,x2.{E}_{x,x^{\prime}}(y;(y_{s})_{s<t})=W_{x,x^{\prime}}(|y(x^{\prime})-y(x)|)\vee W_{x,x^{\prime}}(M_{x,x^{\prime}}((y_{s})_{s<t}))\quad\text{ if }M_{x,x^{\prime}}((y_{s})_{s<t})\geq R^{2}_{x,x^{\prime}}.

We adopt the choice (2.5) for a continuous function interpolating between 0 and 11 also for technical reasons, see the discussion in Remark 4.3. Summarizing, given the history (ys)s<t(y_{s})_{s<t}, the energy of an admissible configuration y𝒜(g(t))y\in\mathcal{A}(g(t)) is given by

(y;(ys)s<t)=12x,x(Ω)xxEx,x(y;(ys)s<t).\displaystyle\mathcal{E}(y;(y_{s})_{s<t})=\frac{1}{2}\sum_{\underset{x\neq x^{\prime}}{x,x^{\prime}\in\mathcal{L}(\Omega)}}{E}_{x,x^{\prime}}(y;(y_{s})_{s<t}). (2.6)

2.3. Quasi-static evolution of atomistic systems with damageable interactions

We now present the main result of the paper on a quasi-static evolution of atomistic systems with the irreversibility condition introduced above. We introduce some further notation. Let NN be the cardinality of (Ω)\mathcal{L}(\Omega) and let N¯\bar{N} be the cardinality of ((Ω)D(Ω))(\mathcal{L}(\Omega)\setminus\mathcal{L}_{D}(\Omega)), respectively. For convenience, from now on we will denote y:(Ω)ny\colon\mathcal{L}(\Omega)\to\mathbb{R}^{n} as a single vector yNny\in\mathbb{R}^{Nn} via

y=(y(x1),y(xN))Nn,y=(y(x_{1}),\ldots y(x_{N}))\in\mathbb{R}^{Nn},

where (x1,,xN)(x_{1},\ldots,x_{N}) is a fixed numbering of (Ω)\mathcal{L}(\Omega) with {xN¯+1,,xN}=D(Ω)\{x_{\bar{N}+1},\ldots,x_{N}\}=\mathcal{L}_{D}(\Omega). In this sense, (;(ys)s<t)\mathcal{E}(\cdot;(y_{s})_{s<t}) in (2.6) is a function defined on Nn\mathbb{R}^{Nn} with variables y1,,yNy_{1},\ldots,y_{N}. We also regard boundary conditions g:[0,T]×D(Ω)ng\colon[0,T]\times\mathcal{L}_{D}(\Omega)\to\mathbb{R}^{n} as vectors g(t)Nng(t)\in\mathbb{R}^{Nn} for each t[0,T]t\in[0,T] by setting g(t,x)=0g(t,x)=0 for all x(Ω)D(Ω)x\in\mathcal{L}(\Omega)\setminus\mathcal{L}_{D}(\Omega).

As it is customary in both existence proofs and in numerical approximation schemes, we start with a time-discretization of the problem. Fix a discrete time step size τ>0\tau>0, which for simplicity satisfies T/τT/\tau\in\mathbb{N}. We write tkτ=kτt_{k}^{\tau}=k\tau for k{0,,T/τ}k\in\{0,\ldots,T/\tau\}, and we also define gkτ=g(tkτ)g^{\tau}_{k}=g(t^{\tau}_{k}). Suppose that an initial configuration y0𝒜(g0τ)y_{0}\in\mathcal{A}(g^{\tau}_{0}) is given. Fix a time tkτt^{\tau}_{k} and suppose that the deformations (yjτ)j<k(y^{\tau}_{j})_{j<k} at the previous times tjτt^{\tau}_{j}, j<kj<k, have already been found. Then, the deformation at time tkτt^{\tau}_{k}, denoted by ykτ𝒜(gkτ)y^{\tau}_{k}\in\mathcal{A}(g^{\tau}_{k}), is given as the minimizer of

miny𝒜(gkτ)((y;(yjτ)j<k)+ν2τ|yyk1τ|2).\displaystyle\min_{y\in\mathcal{A}(g^{\tau}_{k})}\Big{(}\mathcal{E}(y;(y^{\tau}_{j})_{j<k})+\frac{\nu}{2\tau}|y-y_{k-1}^{\tau}|^{2}\Big{)}. (2.7)

Here, |||\cdot| denotes the Euclidean norm in Nn\mathbb{R}^{Nn}, where ν>0\nu>0 is a dissipation coefficient. We remark that (2.7) corresponds to the minimizing movement scheme for gradient flows of the energy (;(yjτ)j<k)\mathcal{E}(\cdot;(y^{\tau}_{j})_{j<k}) with respect to the L2L^{2}-norm. At the end of the section, see (2.11), we present a variant of (2.7) which corresponds to a model in the Kelvin-Voigt’s rheology. Note that an essential part of our problem is the fact that the energy depends on the complete history, i.e., on the previous deformations (yjτ)j<k(y^{\tau}_{j})_{j<k}, which is usually not present in incremental schemes of the form (2.7). Let us mention that this relates to a discrete-time formulation where, in contrast to common variational approaches to fracture in the realm of rate-independent systems, in each step we do not consider absolute minimizers of the energy, but determine local minimizers by penalizing the L2L^{2}-distance between the approximate solutions at two consecutive times. This approach itself is not new and has been adopted, e.g. in [17].

Note that the existence of a minimizer is readily guaranteed since the problem is finite dimensional, the potential is continuous, and the energy is coercive. Moreover, one can also check that for τ\tau sufficiently small the problem is strictly convex, and therefore the minimizer is unique.

We now introduce piecewise constant and piecewise affine interpolations by yτ(t):=yk+1τy_{\tau}(t):=y_{k+1}^{\tau} for t(tkτ,tk+1τ]t\in(t_{k}^{\tau},t_{k+1}^{\tau}] and y^τ(t):=ykτ+(tkτ)vτ(t)\hat{y}_{\tau}(t):=y_{k}^{\tau}+(t-k\tau)v_{\tau}(t) for t(tkτ,tk+1τ]t\in(t_{k}^{\tau},t_{k+1}^{\tau}], respectively, where vτ(t):=1τ(yk+1τykτ)v_{\tau}(t):=\frac{1}{\tau}(y^{\tau}_{k+1}-y^{\tau}_{k}). Our goal is to pass to the limit τ0\tau\to 0, and to prove that yτy_{\tau} converges uniformly to a limit evolution yy, which satisfies a delay differential equation taking the irreversibility of the fracture process into account. We start with the compactness result.

Theorem 2.1 (Compactness).

Assume that gH1([0,T];Nn)g\in H^{1}([0,T];\mathbb{R}^{Nn}). Suppose that an initial datum y0𝒜(g(0))y_{0}\in\mathcal{A}(g(0)) is given, and let yτy_{\tau} and y^τ\hat{y}_{\tau} be constructed as above. Then, there exists yH1([0,T];Nn)y\in H^{1}([0,T];\mathbb{R}^{Nn}) with y(t)𝒜(g(t))y(t)\in\mathcal{A}(g(t)) for all t[0,T]t\in[0,T] such that yτy_{\tau} and y^τ\hat{y}_{\tau} converge uniformly to yy on [0,T][0,T], as well as ty^τty\partial_{t}\hat{y}_{\tau}\rightharpoonup\partial_{t}y weakly in L2([0,T];Nn)L^{2}([0,T];\mathbb{R}^{Nn}).

We are now ready to present the main result of the paper.

Theorem 2.2 (Quasi-static evolution for damageable pair interactions).

Given an initial value y0𝒜(g(0))y_{0}\in\mathcal{A}(g(0)), denote by yH1([0,T];Nd)y\in H^{1}([0,T];\mathbb{R}^{Nd}) the function identified in Theorem 2.1. Then, yy satisfies the delay differential equation

(y(t);(y(s))s<t)=νty(t)on (Ω)D(Ω) for a.e. t[0,T].\displaystyle\nabla\mathcal{E}(y(t);(y(s))_{s<t})=-\nu\partial_{t}y(t)\quad\text{on $\mathcal{L}(\Omega)\setminus\mathcal{L}_{D}(\Omega)$ for a.e.\ $t\in[0,T]$}. (2.8)

Here, \nabla is taken with respect to the variables y1,,yN¯y_{1},\ldots,y_{\bar{N}}, i.e., both sides in (2.8) are vectors in N¯n\mathbb{R}^{\bar{N}n}. More explicitly, (2.8) can be written as

yi(y(t);(y(s))s<t)=νty(t,xi)for i=1,,N¯ for a.e. t[0,T].\nabla_{y_{i}}\mathcal{E}(y(t);(y(s))_{s<t})=-\nu\partial_{t}y(t,x_{i})\quad\text{for $i=1,\ldots,\bar{N}$ for a.e.\ $t\in[0,T]$}.

Although the potentials Wx,xW_{x,x^{\prime}} are smooth, (;(y(s))s<t)\mathcal{E}(\cdot;(y(s))_{s<t}) is not necessarily differentiable due to the presence of the memory variable. Therefore, strictly speaking, \nabla has to be interpreted as the element of the subdifferential of \mathcal{E} (in the sense of λ\lambda-convex functions) with minimal norm, denoted by \partial^{\circ}\mathcal{E}. We refer to (4.16)–(4.17) for details.

Let us highlight that the resulting equation is not an ordinary differential equation of gradient flow type but a delay differential equation as the energy at time tt depends on the complete history (y(s))s<t(y(s))_{s<t}.

2.4. Variants and possible extensions

We close this section by discussing alternative modeling assumptions and possible extensions. Let us start by presenting a variant of the model where the L2L^{2}-dissipation is replaced by a dissipation depending on a (discrete) strain rate. This corresponds to a model in the Kelvin-Voigt’s rheology. For simplicity, we restrict our modeling here to the one-dimensional case (d=n=1d=n=1) as proofs are more involved in higher dimensions. Specifically, we denote the reference configuration by x1=ε,,xN=εNx_{1}=\varepsilon,\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}\ldots,x_{N}=\varepsilon N with xixi1=εx_{i}-x_{i-1}=\varepsilon for i{2,,N}i\in\{2,\ldots,N\}, and denote deformations yy by y=(y(x1),,y(xN))Ny=(y(x_{1}),\ldots,y(x_{N}))\in\mathbb{R}^{N}\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}. Let D(Ω)={x1,xN}\mathcal{L}_{D}(\Omega)=\{x_{1},x_{N}\}, where for convenience we use a different labeling of D(Ω)\mathcal{L}_{D}(\Omega) compared to Subsection 2.3. We introduce the discrete gradient by

¯y=(y(xi)y(xi1)ε)i=2,,NN1.\displaystyle\bar{\nabla}y=\Big{(}\frac{y(x_{i})-y(x_{i-1})}{\varepsilon}\Big{)}_{i=2,\ldots,N}\in\mathbb{R}^{N-1}. (2.9)

We also introduce the vector D¯yN2\bar{\rm D}y\in\mathbb{R}^{N-2} defined by

(D¯y)i=2y(xi)y(xi1)y(xi+1)ε,i{2,,N1}.(\bar{\rm D}y)_{i}=\frac{2y(x_{i})-y(x_{i-1})-y(x_{i+1})}{\varepsilon},i\in\{2,\ldots,N-1\}. (2.10)

We replace the time-incremental scheme described in (2.7) by

miny𝒜(gkτ)((y;(yjτ)j<k)+ν2τ|¯y¯yk1τ|2).\displaystyle\min_{y\in\mathcal{A}(g^{\tau}_{k})}\Big{(}\mathcal{E}(y;(y^{\tau}_{j})_{j<k})+\frac{\nu}{2\tau}|\bar{\nabla}y-\bar{\nabla}y_{k-1}^{\tau}|^{2}\Big{)}. (2.11)

In the limit of vanishing time steps τ0\tau\to 0, this leads to the delay differential equation

(y(t);(y(s))s<t)=νD¯ty(t) on {x2,,xN1} for a.e. t[0,T],\displaystyle\partial^{\circ}\mathcal{E}(y(t);(y(s))_{s<t})=-\nu\bar{\rm D}\partial_{t}y(t)\quad\text{ on $\{x_{2},\ldots,x_{N-1}\}$ \color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}for a.e.\ $t\in[0,T]$}, (2.12)

where \partial^{\circ}\mathcal{E} is explained in (4.16)–(4.17) and is taken with respect to (y2,,yN1)(y_{2},\ldots,y_{N-1}). The proof is similar to the one of Theorem 2.2 and the necessary adaptions are given in Remark 4.4. Let us mention that a more realistic modeling assumption would be that ν\nu is different for each contribution and depends on the memory variable Mx,xM_{x,x^{\prime}}, with ν(Mx,x)\nu(M_{x,x^{\prime}}) decreasing in Mx,xM_{x,x^{\prime}}.

The model developed so far was restricted to pair interactions for the sake of simplicity. However, for a realistic description of brittle materials also multi-body interactions should be taken into account. Here, we present one possible simple extension incorporating three-body interactions. Let x,x,x′′(Ω)x,x^{\prime},x^{\prime\prime}\in\mathcal{L}(\Omega) be three distinct neighboring atoms in the reference configuration with |xx|=ε|x^{\prime}-x|=\varepsilon and |xx′′|=ε|x^{\prime}-x^{\prime\prime}|=\varepsilon. Consider the angle between the two edges (x,x)(x^{\prime},x) and (x,x′′)(x^{\prime},x^{\prime\prime}) under the deformation yy, given by

θx,x,x′′(y):=arccosy(x)y(x),y(x′′)y(x)[0,π].\theta_{x,x^{\prime},x^{\prime\prime}}(y):=\arccos\big{\langle}y(x)-y(x^{\prime}),y(x^{\prime\prime})-y(x^{\prime})\big{\rangle}\in[0,\pi]\,.

Let Wx,x,x′′:[0,π]W_{x,x^{\prime},x^{\prime\prime}}\colon[0,\pi]\to\mathbb{R} be a continuous three-body interaction potential, see [11, 35, 36] for possible choices. We then assume that the three-body energy contribution of x,x,x′′(Ω)x,x^{\prime},x^{\prime\prime}\in\mathcal{L}(\Omega) has the form

Ex,x,x′′(y,(ys)s<t):=Wx,x,x′′(θx,x,x′′(y))[1(φ(Mx,x((ys)s<t))φ(Mx,x′′((ys)s<t)))].E_{x,x^{\prime},x^{\prime\prime}}(y,(y_{s})_{s<t}):=W_{x,x^{\prime},x^{\prime\prime}}\big{(}\theta_{x,x^{\prime},x^{\prime\prime}}(y)\big{)}\Big{[}1-\big{(}\varphi\big{(}M_{x,x^{\prime}}((y_{s})_{s<t})\big{)}\vee\varphi\big{(}M_{x^{\prime},x^{\prime\prime}}((y_{s})_{s<t})\big{)}\big{)}\Big{]}\,.

This reflects the assumption that the three-body-interaction is only active as long as the two interactions (x,x)(x,x^{\prime}) and (x,x′′)(x^{\prime},x^{\prime\prime}) are not ’damaged’. The total energy in (2.6) then changes to

(y;(ys)s<t)=12x,x(Ω)xxEx,x(y;(ys)s<t)+x,x,x′′(Ω),xx′′|xx|=|x′′x|=εEx,x,x′′(y,(ys)s<t).\displaystyle\mathcal{E}(y;(y_{s})_{s<t})=\frac{1}{2}\sum_{\underset{x\neq x^{\prime}}{x,x^{\prime}\in\mathcal{L}(\Omega)}}{E}_{x,x^{\prime}}(y;(y_{s})_{s<t})+\sum_{\underset{|x-x^{\prime}|=|x^{\prime\prime}-x^{\prime}|=\varepsilon}{x,x^{\prime},x^{\prime\prime}\in\mathcal{L}(\Omega),x\neq x^{\prime\prime}}}E_{x,x^{\prime},x^{\prime\prime}}(y,(y_{s})_{s<t})\,. (2.13)

Note that Theorem 2.2 stated above still holds for this extended model, as we briefly indicate after the proof of Theorem 2.2, see Remark 4.5.

3. Examples and numerical experiments

The proposed model for discrete crack evolution captures a variety of possible atomic interactions. In preparation for our numerical experiments, we discuss here simple models in 1D and 2D.

The easiest case consists in a one-dimensional set-up described at the end of Subsection 2.3 with nearest neighbor interactions. If |xx|ε|x-x^{\prime}|\neq\varepsilon it holds Wx,x0W_{x,x^{\prime}}\equiv 0, and for |xx|=ε|x-x^{\prime}|=\varepsilon the interaction takes the form

Wx,x(|y(x)y(x)|):=W(|y(x)y(x)|),where W(r):=4((ε26r)12(ε26r)6).\displaystyle W_{x,x^{\prime}}(|y(x)-y(x^{\prime})|):=W(|y(x)-y(x^{\prime})|),\qquad\text{where }W(r):=4\left(\Big{(}\frac{\varepsilon}{\sqrt[6]{2}r}\Big{)}^{12}-\Big{(}\frac{\varepsilon}{\sqrt[6]{2}r}\Big{)}^{6}\right). (3.1)

We also choose some parameters ε<R1<R2\varepsilon<R^{1}<R^{2} for the memory variable independently of (x,x)(x,x^{\prime}).

In two dimensions, an important mathematical model is given by a triangular lattice =εA2=ε(112032)2\mathcal{L}=\varepsilon\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}A\mathbb{Z}^{2}=\varepsilon\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}\begin{pmatrix}1&\frac{1}{2}\\ 0&\frac{\sqrt{3}}{2}\end{pmatrix}\mathbb{Z}^{2} and nearest neighbor interactions of the form (3.1). This model was considered in [24]. Here, the deformations yy are assumed to locally preserve their orientation, i.e., affine interpolation should have nonnegative determinant on each triangle of the lattice \mathcal{L}, cf. [33]. Additionally, one could also add next-to-nearest neighbors to the energy, i.e., the interaction of points xx, xx^{\prime} of the lattice opposite to the same edge (with distance 3ε\sqrt{3}\varepsilon). In this case, we add

Wx,x(|y(x)x(x)|)=ηW(13|y(x)y(x)|)\displaystyle W_{x,x^{\prime}}(|y(x)-x(x^{\prime})|)=\eta W(\tfrac{1}{\sqrt{3}}|y(x)-y(x^{\prime})|) (3.2)

to the energy for each such pair, where η>0\eta>0 and WW is given by (3.1).

Refer to caption
(a) L2L^{2}
Refer to caption
(b) Kelvin-Voigt
Figure 1. Evolution of a chain of atoms. The blue dots in each column describe the deformed configuration of atoms for one specific step of the scheme with time progressing towards the right. A green line is drawn between each nearest-neighbor pair until their distance goes beyond the elastic threshold.

We now describe numerical experiments for the 1D and the 2D case. In dimension one, we consider a chain of NN equally spaced atoms with interatomic distance ε\varepsilon. To ease numerical computations, we only consider interaction energies (2.6) of nearest-neighbor type as given in (3.1). We set R1=1.2εR^{1}=1.2\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}\varepsilon, and for simplicity R2=R1R^{2}=R^{1}. As dissipation, we consider both cases mentioned above, i.e., the L2L^{2}-distance and the Kelvin-Voigt-dissipation. We set τ=1/60\tau=1/60 and ν=0.1\nu=0.1. The numerical computation of each step of the minimizing movements schemes in (2.7) and (2.11) is performed via an interior point optimizer [34] accessed through the JuMP modeling language [20].

In Figure 1, one can see 13 steps of both schemes. The evolution starts with the chain of atoms with distance ε\varepsilon to each other. The boundary condition fixes one of the endpoints while driving the other endpoint in sinusoidal motion stretching and compressing the chain in the process. In both cases, the chain first extends elastically and at some point one of the bonds between neighboring atoms breaks. While in the case of Kelvin-Voigt, by symmetry, any of the bonds is equally likely to break (in the specific case above it is the 33-th bond), the L2L^{2}-dissipation always favors the very last bond since already for small loading this bond is stretched the most. After compression, in the second turn of extension, no elastic stretching can be observed since one bond is already broken.

Refer to caption
(a) Step 11
Refer to caption
(b) Step 15
Refer to caption
(c) Step 45
Refer to caption
(d) Step 16
Refer to caption
(e) Step 24
Refer to caption
(f) Step 30
Figure 2. Evolution of a triangular lattice for large ν=1\nu=1. Green lines again correspond to bonds in the elastic regime.
Refer to caption
(a) Step 1
Refer to caption
(b) Step 18
Refer to caption
(c) Step 23
Refer to caption
(d) Step 25
Refer to caption
(e) Step 26
Refer to caption
(f) Step 27
Refer to caption
(g) Step 60
Refer to caption
(h) Step 180
Refer to caption
(i) Step 225
Figure 3. Evolution for sinusoidal boundary conditions with angle π/8\pi/8.
Refer to caption
(a) Step 15
Refer to caption
(b) Step 17
Refer to caption
(c) Step 45
Figure 4. Evolution for horizontal stretching.

We continue by showing several examples in two dimensions. In all cases, we consider the triangular lattice with nearest neighbors and next-to-nearest neighbors as described in (3.1)–(3.2) with η=0.25\eta=0.25. The evolution starts with a finite amount of atoms arranged in a lattice of equilateral triangles. The left-most atoms are fixed along the evolution while the right-most atoms are stretched horizontally or with respect to some angle.

Figure 2 shows the case of a large value ν=1\nu=1 for horizontal stretching. Figures 2(a)2(c) depict three steps of the scheme with L2L^{2}-dissipation, where the right-most layer of atoms detaches from the material. Figures 2(d)LABEL:sub@fig:square_kv_3 shows steps arising from a Kelvin-Voigt-type dissipation. In this case, the material does not develop a sharp crack interface. Instead, starting from the center more and more horizontal bonds are broken. This suggests that ν\nu should be chosen much smaller.

Figure 3 shows several steps of the respective minimizing movement scheme with L2L^{2}-dissipation and small dissipation coefficient ν=0.01\nu=0.01. In contrast to Figure 2, we use sinusoidal boundary conditions that move the right-most points of the lattice upwards in direction (cos(π/8),sin(π/8))(\cos(\pi/8),\sin(\pi/8)). As predicted in [23, 25] for the static case, the lattice breaks apart along a crystallographic line, see Figures 3(f) and 3(g). The two components are stopped from colliding into each other in the subsequent compression phase (see Figure 3(h)). After stretching once more, the components separate from each other reaching the final state in Figure 3(i). Although not shown here, the evolution arising from a dissipation of Kelvin-Voigt type does essentially not differ from the one shown in Figure 3. Furthermore, Figure 4 shows an experiment with boundary conditions in horizontal direction. Due to the symmetry of the lattice, the crack line can be kinked, in accordance to [23, 25].

Eventually, in Figure 5 we plot the stress-strain curve that corresponds to the stretching phase in a tension-compression experiment similar to the one shown in Figure 3. More precisely, we computed the total stress |i=1Nyi(y(t);(y(s))s<t)||\sum_{i=1}^{N}\nabla_{y_{i}}\mathcal{E}(y(t);(y(s))_{s<t})|, suitably normalized by the number of boundary interactions. As the material is stretched, the stress increases almost linearly until the formation of a crack where the stress drops to zero. The flattening of the curve for higher strains is due to the nonlinearity of the interaction potentials. In case of a smaller crack-threshold RR, the material breaks already at a smaller loading. Accordingly, the flattening of the curve is less pronounced and the maximal value of the stress, which corresponds to the transition from the elastic to the fracture phase, is smaller.

Refer to caption
(a) threshold R=1.2εR=1.2\varepsilon
Refer to caption
(b) threshold R=1.07εR=1.07\varepsilon
Figure 5. Stress-Strain curves for different thresholds.

4. Proofs

4.1. Incremental minimization scheme

In this subsection, we analyze the scheme (2.7) for a given family of deformations (yjτ)j<k=(yjτ)jk1(y^{\tau}_{j})_{j<k}=(y^{\tau}_{j})_{j\leq k-1}. For convenience, we denote the memory variable Mx,x((yjτ)j<k)M_{x,x^{\prime}}((y^{\tau}_{j})_{j<k}) simply by Mk1x,xM^{x,x^{\prime}}_{k-1}. In a similar fashion, we express the energy for fixed x,x(Ω),xxx,x^{\prime}\in\mathcal{L}(\Omega),x\neq x^{\prime}, by

Ek1x,x():=Ex,x(;(yjτ)j<k),\displaystyle E^{x,x^{\prime}}_{k-1}(\cdot):=E_{x,x^{\prime}}(\;\cdot\;;(y^{\tau}_{j})_{j<k}), (4.1)

and for the sum over all contributions we write

k1():=(;(yjτ)j<k).\displaystyle\mathcal{E}_{k-1}(\cdot):=\mathcal{E}(\;\cdot\;;(y^{\tau}_{j})_{j<k})\,. (4.2)

Furthermore, in this subsection we drop the superscript τ\tau, i.e., we write yky_{k} and tkt_{k} in place of ykτy_{k}^{\tau} and tkτt_{k}^{\tau}, respectively. By convention, in proofs we often drop the index x,xx,x^{\prime} for Wx,xW_{x,x^{\prime}}, φx,x\varphi_{x,x^{\prime}}, Ek1x,xE^{x,x^{\prime}}_{k-1}, Mk1x,xM^{x,x^{\prime}}_{k-1}, Rx,x1R^{1}_{x,x^{\prime}}, Rx,x2R^{2}_{x,x^{\prime}} if no confusion arises.

We begin by proving a lemma that follows from the very definition of the potential in (2.5) and the incremental minimization scheme described in (2.7).

Lemma 4.1.

Given a time step tkt_{k} and deformations (yj)j<k(y_{j})_{j<k} at previous time steps, let yky_{k} be defined as in (2.7). Then,

k1(yk)=k(yk).\mathcal{E}_{k-1}(y_{k})=\mathcal{E}_{k}(y_{k}).
Proof.

It suffices to show that Ek1x,x(yk)=Ekx,x(yk)E^{x,x^{\prime}}_{k-1}(y_{k})=E^{x,x^{\prime}}_{k}(y_{k}) for all x,x(Ω)x,x^{\prime}\in\mathcal{L}(\Omega), xxx\neq x^{\prime}. For simplicity, we drop the superscript x,xx,x^{\prime} in the proof. Recall that by definition (2.5) we have

Ek1(yk):=(1φ(Mk1))W(|yk(x)yk(x)|)+φ(Mk1)(W(Mk1)W(|yk(x)yk(x)|)),\displaystyle E_{k-1}(y_{k}):=(1-\varphi(M_{k-1}))W(|y_{k}(x^{\prime})-y_{k}(x)|)+\varphi(M_{k-1})\big{(}W(M_{k-1})\vee W(|y_{k}(x^{\prime})-y_{k}(x)|)\big{)}\,, (4.3)

where φ(Mk1)=0\varphi(M_{k-1})=0 for Mk1R1M_{k-1}\leq R^{1} and φ(Mk1)=1\varphi(M_{k-1})=1 for Mk1R2M_{k-1}\geq R^{2}. Note that by the definition of the memory variable in (2.2) we obtain

Mk=Mk1|yk(x)yk(x)|.M_{k}=M_{k-1}\vee|y_{k}(x^{\prime})-y_{k}(x)|\,.

Case 1: We first consider pairs x,x(Ω)x,x^{\prime}\in\mathcal{L}(\Omega), xxx\neq x^{\prime}, that fulfill Mk1=MkM_{k-1}=M_{k}. Then Ek1(yk)=Ek(yk)E_{k-1}(y_{k})=E_{k}(y_{k}) trivially holds.
Case 2: Let x,x(Ω)x,x^{\prime}\in\mathcal{L}(\Omega), xxx\neq x^{\prime}, be such that Mk1<MkM_{k-1}<M_{k}. Then, we have

Mk=|yk(x)yk(x)|=Mk1|yk(x)yk(x)|,M_{k}=|y_{k}(x)-y_{k}(x^{\prime})|=M_{k-1}\vee|y_{k}(x)-y_{k}(x^{\prime})|\,,

and since WW is increasing on [|xx|,)[|x-x^{\prime}|,\infty) by Assumption (iii) and Mk1|xx|M_{k-1}\geq|x-x^{\prime}| we get

W(Mk1)W(|yk(x)yk(x)|)=W(|yk(x)yk(x)|)=W(Mk)W(|yk(x)yk(x)|).W(M_{k-1})\vee W(|y_{k}(x^{\prime})-y_{k}(x)|)=W(|y_{k}(x^{\prime})-y_{k}(x)|)=W(M_{k})\vee W(|y_{k}(x^{\prime})-y_{k}(x)|)\,.

Hence, by (4.3) we obtain

Ek1(yk)=W(|yk(x)yk(x)|)=Ek(yk),E_{k-1}(y_{k})=W(|y_{k}(x^{\prime})-y_{k}(x)|)=E_{k}(y_{k})\,,

which proves the assertion. ∎

As a next step, we prove an estimate that will enable us to control the time derivative of the deformation. As a preparation, consider gi=giτ=g(tiτ)g_{i}=g_{i}^{\tau}=g(t_{i}^{\tau}) for every i{0,,T/τ}i\in\{0,\dots,T/\tau\}. Then, using gH1([0,T];Nn)g\in H^{1}([0,T];\mathbb{R}^{Nn}), the fundamental theorem of calculus, and Jensen’s inequality it follows that

i=1T/τ|gigi1|2τ=i=1T/ττ|1τ(i1)τiτtg(s)ds|20T|tg(s)|2ds=tgL2([0,T];Nn)2,\sum_{i=1}^{T/\tau}\frac{|g_{i}-g_{i-1}|^{2}}{\tau}=\sum_{i=1}^{T/\tau}\tau\left|\frac{1}{\tau}\int_{(i-1)\tau}^{i\tau}\partial_{t}g(s)\,{\rm d}s\right|^{2}\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}\leq\int_{0}^{T}|\partial_{t}g\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}(s)|^{2}\,{\rm d}s=\|\partial_{t}g\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}\|^{2}_{L^{2}([0,T];\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}\mathbb{R}^{Nn})}\,, (4.4)

and with Hölder’s inequality

i=1T/τ|gigi1|τ(i=1T/τ|gigi1|2τ)12T/τTtgL2([0,T];Nn).\sum_{i=1}^{T/\tau}|g_{i}-g_{i-1}|\leq\sqrt{\tau}\left(\sum_{i=1}^{T/\tau}\frac{|g_{i}-g_{i-1}|^{2}}{\tau}\right)^{\frac{1}{2}}\sqrt{T/\tau}\leq\sqrt{T}\|\partial_{t}g\|_{L^{2}([0,T];\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}\mathbb{R}^{Nn})}. (4.5)

We thus have the estimates

i=1T/τ|gigi1|2τC,i=1T/τ|gigi1|C,\displaystyle\sum_{i=1}^{T/\tau}\frac{|g_{i}-g_{i-1}|^{2}}{\tau}\leq C,\qquad\sum_{i=1}^{T/\tau}|g_{i}-g_{i-1}|\leq C\,, (4.6)

for a constant CC independent of τ\tau.

Lemma 4.2.

There exists C>0C>0 such that for each j{0,,T/τ}j\in\{0,\ldots,T/\tau\} it holds that

j(yj)+i=1jν|yiyi1|22τCi=1j|gigi1|+i=1jν|gigi1|22τ+0(y0).\displaystyle\mathcal{E}_{j}(y_{j})+\sum_{i=1}^{j}\frac{\nu|y_{i}-y_{i-1}|^{2}}{2\tau}\leq C\sum_{i=1}^{j}|g_{i}-g_{i-1}|+\sum_{i=1}^{j}\frac{\nu|g_{i}-g_{i-1}|^{2}}{2\tau}+\mathcal{E}_{0}(y_{0}). (4.7)
Proof.

We prove the statement by induction. The case j=0j=0 is trivial. Suppose that the estimate holds for 0jk10\leq j\leq k-1. In particular, by (4.6) we get

j(yj)C^ for 0jk1\displaystyle\mathcal{E}_{j}(y_{j})\leq\hat{C}\quad\text{ for $0\leq j\leq k-1$} (4.8)

for some C^>0\hat{C}>0 depending on gg and y0y_{0} but independent of jj. By choosing yk1+gkgk1y_{k-1}+g_{k}-g_{k-1} as a test function in the minimization problem (2.7) we get

k1(yk)+ν|ykyk1|22τk1(yk1+gkgk1)+ν|gkgk1|22τ.\mathcal{E}_{k-1}\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}(y_{k})+\frac{\nu|y_{k}-y_{k-1}|^{2}}{2\tau}\leq\mathcal{E}_{k-1}\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}(y_{k-1}+g_{k}-g_{k-1})+\frac{\nu|g_{k}-g_{k-1}|^{2}}{2\tau}\,.\\ (4.9)

We aim at estimating k1(yk1+gkgk1)\mathcal{E}_{k-1}(y_{k-1}+g_{k}-g_{k-1}). As before, this can be reduced to considering each x,x(Ω)x,x^{\prime}\in\mathcal{L}(\Omega), xxx\neq x^{\prime}. First, by Assumption (i) and (4.8) we get

|yk1(x)yk1(x)|c¯x,x\displaystyle|y_{k-1}(x)-y_{k-1}(x^{\prime})|\geq\bar{c}_{x,x^{\prime}} (4.10)

for a constant c¯x,x>0\bar{c}_{x,x^{\prime}}>0 depending on Wx,xW_{x,x^{\prime}}, gg, and y0y_{0}, but independent of kk. By the regularity of Wx,xW_{x,x^{\prime}} and Assumption (iv) we find that Wx,xW_{x,x^{\prime}} is Lipschitz continuous on [c¯x,x/2,)[\bar{c}_{x,x^{\prime}}/2,\infty). Therefore, also yWx,x(|y|)y\mapsto W_{x,x^{\prime}}(|y|) is Lipschitz continuous on {yn:|y|c¯x,x/2}\{y\in\mathbb{R}^{n}\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}\colon|y|\geq\bar{c}_{x,x^{\prime}}/2\}. We denote the Lipschitz constant by Lx,xL_{x,x^{\prime}} which is independent of kk.

We again drop subscripts and write Ek1(yk1+gkgk1)E_{k-1}(y_{k-1}+g_{k}-g_{k-1}), WW, LL, and c¯\bar{c} for convenience. Note that for z1,z2nz_{1},z_{2}\in\mathbb{R}^{n}\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0} with |z1|c¯|z_{1}|\geq\bar{c} and |z2|c¯/2|z_{2}|\leq\bar{c}/2 we have |W(z1+z2)W(z1)|L|z2||W(z_{1}+z_{2})-W(z_{1})|\leq L|z_{2}|. Let z1:=yk1(x)yk1(x)z_{1}:=y_{k-1}(x)-y_{k-1}(x^{\prime}) and z2:=(gkgk1)(x)(gkgk1)(x)z_{2}:=(g_{k}-g_{k-1})(x)-(g_{k}-g_{k-1})(x^{\prime}). Observe that |z1|c¯|z_{1}|\geq\bar{c} by (4.10), and that |z2|c¯/2|z_{2}|\leq\bar{c}/2 for τ\tau small enough since (4.6) implies

|(gkgk1)(x)(gkgk1)(x)||(gkgk1)(x)|+|(gkgk1)(x)|2|gkgk1|Cτ.|(g_{k}-g_{k-1})(x)-(g_{k}-g_{k-1})(x^{\prime})|\leq|(g_{k}-g_{k-1})(x)|+|(g_{k}-g_{k-1})(x^{\prime})|\leq\sqrt{2}|g_{k}-g_{k-1}|\leq C\sqrt{\tau}.

Then, we get

|W(|yk1(x)yk1(x)+\displaystyle\big{|}W(|y_{k-1}(x)-y_{k-1}(x^{\prime})+ (gkgk1)(x)(gkgk1)(x)|)W(|yk1(x)yk1(x)|)|\displaystyle(g_{k}-g_{k-1})(x)-(g_{k}-g_{k-1})(x^{\prime})|)-W(|y_{k-1}(x)-y_{k-1}(x^{\prime})|)\big{|}
L|(gkgk1)(x)(gkgk1)(x)|\displaystyle\leq L|(g_{k}-g_{k-1})(x)-(g_{k}-g_{k-1})(x^{\prime})|
L(|gk(x)gk1(x)|+|gk(x)gk1(x)|).\displaystyle\leq L\bigl{(}|g_{k}(x)-g_{k-1}(x)|+|g_{k}(x^{\prime})-g_{k-1}(x^{\prime})|\bigr{)}\,. (4.11)

As (a+b)c(ac)+b(a+b)\vee c\leq(a\vee c)+b for a,b,c0a,b,c\geq 0, we can also infer that

W(|(yk1+gkgk1)(x)(yk1+gkgk1)(x)|)W(Mk1)\displaystyle W(|(y_{k-1}+g_{k}-g_{k-1})(x)-(y_{k-1}+g_{k}-g_{k-1})(x^{\prime})|)\vee W(M_{k-1})\leq (4.12)
(W(|yk1(x)yk1(x)|)W(Mk1))+L(|gk(x)gk1(x)|+|gk(x)gk1(x)|).\displaystyle\bigl{(}W(|y_{k-1}(x)-y_{k-1}(x^{\prime})|)\vee W(M_{k-1})\bigr{)}\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}+L\big{(}|g_{k}(x)-g_{k-1}(x)|+|g_{k}(x^{\prime})-g_{k-1}(x^{\prime})|\big{)}\,.

Putting (4.1) and (4.12) together we derive for the energy contribution Ek1(yk1+gkgk1){E}_{k-1}(y_{k-1}+g_{k}-g_{k-1}) (see definition (4.3)) the estimate

Ek1(yk1+gkgk1)Ek1(yk1)+L(|gk(x)gk1(x)|+|gk(x)gk1(x)|).{E}_{k-1}(y_{k-1}+g_{k}-g_{k-1})\leq{E}_{k-1}(y_{k-1})+L\big{(}|g_{k}(x)-g_{k-1}(x)|+|g_{k}(x^{\prime})-g_{k-1}(x^{\prime})|\big{)}\,. (4.13)

From this estimate, summing over all pairs x,xx,x^{\prime}, we conclude

k1(yk1+gkgk1)=12x,x(Ω)xxEk1x,x(yk1+gkgk1)\displaystyle\mathcal{E}_{k-1}(y_{k-1}+g_{k}-g_{k-1})=\frac{1}{2}\sum_{\underset{x\neq x^{\prime}}{x,x^{\prime}\in\mathcal{L}(\Omega)}}{E}^{x,x^{\prime}}_{k-1}(y_{k-1}+g_{k}-g_{k-1})
\displaystyle\leq\; 12x,x(Ω)xxEk1x,x(yk1)+12x,x(Ω)xxLx,x(|gk(x)gk1(x)|+|gk(x)gk1(x)|)\displaystyle\frac{1}{2}\sum_{\underset{x\neq x^{\prime}}{x,x^{\prime}\in\mathcal{L}(\Omega)}}{E}^{x,x^{\prime}}_{k-1}(y_{k-1})+\frac{1}{2}\sum_{\underset{x\neq x^{\prime}}{x,x^{\prime}\in\mathcal{L}(\Omega)}}L_{x,x^{\prime}}\,\big{(}|g_{k}(x)-g_{k-1}(x)|+|g_{k}(x^{\prime})-g_{k-1}(x^{\prime})|\big{)}
\displaystyle\leq\; k1(yk1)+L¯(N1)x(Ω)|gk(x)gk1(x)|,\displaystyle\mathcal{E}_{k-1}(y_{k-1})+\bar{L}(N-1)\sum_{x\in\mathcal{L}(\Omega)}|g_{k}(x)-g_{k-1}(x)|,

where L¯\bar{L} is the maximum of the involved Lipschitz constants. Eventually, we get by Hölder’s inequality

k1(yk1+gkgk1)k1(yk1)+L¯(N1)N|gkgk1|.\mathcal{E}_{k-1}(y_{k-1}+g_{k}-g_{k-1})\leq\mathcal{E}_{k-1}(y_{k-1})+\bar{L}(N-1)\sqrt{N}\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}|g_{k}-g_{k-1}|. (4.14)

Note that L¯\bar{L} can be chosen independently of kk as the constants c¯x,x\bar{c}_{x,x^{\prime}} in (4.10) are independent of kk. Putting (4.9) and (4.14) together and rearranging terms yields

k1(yk)k1(yk1)+ν|ykyk1|22τC|gkgk1|+ν|gkgk1|22τ\mathcal{E}_{k-1}(y_{k})-\mathcal{E}_{k-1}(y_{k-1})+\frac{\nu|y_{k}-y_{k-1}|^{2}}{2\tau}\leq C|g_{k}-g_{k-1}|+\frac{\nu|g_{k}-g_{k-1}|^{2}}{2\tau}

for some C>0C>0 large enough. By Lemma 4.1 this becomes

k(yk)k1(yk1)+ν|ykyk1|22τC|gkgk1|+ν|gkgk1|22τ.\mathcal{E}_{k}(y_{k})-\mathcal{E}_{k-1}(y_{k-1})+\frac{\nu|y_{k}-y_{k-1}|^{2}}{2\tau}\leq C|g_{k}-g_{k-1}|+\frac{\nu|g_{k}-g_{k-1}|^{2}}{2\tau}.

This inequality added to (4.7) for j=k1j=k-1 gives the desired estimate (4.7) for j=kj=k. ∎

4.2. Compactness

In this subsection, we prove Theorem 2.1. For this reason, we again include the time step τ\tau in our notation. After the preparation in Lemma 4.2 the proof is standard. We perform it here, however, for convenience of the reader.

Proof of Theorem 2.1.

The right-hand side of (4.7) for j=T/τj=T/\tau can be expressed in terms of gg as in (4.4)–(4.5). Thus, from (4.7) we obtain

i=1T/τν|yiτyi1τ|22τCTtgL2([0,T];Nn)+12tgL2([0,T];Nn)2+0(y0τ)T/τ(yT/ττ)C^\sum_{i=1}^{T/\tau}\frac{\nu|y^{\tau}_{i}-y^{\tau}_{i-1}|^{2}}{2\tau}\leq C\sqrt{T}\|\partial_{t}g\|_{L^{2}([0,T];\mathbb{R}^{Nn})}+\frac{1}{2}\|\partial_{t}g\|_{L^{2}([0,T];\mathbb{R}^{Nn})}^{2}+\mathcal{E}_{0}(y^{\tau}_{0})-\mathcal{E}_{T/\tau}(y^{\tau}_{T/\tau})\leq\hat{C}

for some C^>0\hat{C}>0, where in the last step we used the regularity of gg and the fact that T/τ\mathcal{E}_{T/\tau} is bounded from below. Considering the interpolation y^τ\hat{y}_{\tau} as introduced before Theorem 2.1, we derive

ν20T|ty^τ|2ds=i=1T/τν|yiτyi1τ|22τC^.\frac{\nu}{2}\int_{0}^{T}|\partial_{t}\hat{y}_{\tau}|^{2}\,{\rm d}s=\sum_{i=1}^{T/\tau}\frac{\nu|y^{\tau}_{i}-y^{\tau}_{i-1}|^{2}}{2\tau}\leq\hat{C}\,.

Therefore, ty^τ\partial_{t}\hat{y}_{\tau} is uniformly bounded in L2([0,T];Nn)L^{2}([0,T];\mathbb{R}^{Nn}). By weak compactness we have, up to a subsequence,

y^τyinH1([0,T];Nn)for someyH1([0,T];Nn).\hat{y}_{\tau}\rightharpoonup y\quad\text{in}\;H^{1}([0,T];\mathbb{R}^{Nn})\quad\text{for some}\;y\in H^{1}([0,T];\mathbb{R}^{Nn})\,.

In particular, yy is Hölder-continuous by the well-known inclusion H1(0,T)C0,1/2(0,T)H^{1}(0,T)\subset C^{0,1/2}(0,T) and the convergence is uniform. In fact, by the fundamental theorem of calculus we get

|y^τ(t)y^τ(t)|=|tttyτ(s)ds|tt|tyτ(s)|ds,|\hat{y}_{\tau}(t^{\prime})-\hat{y}_{\tau}(t)|=\Big{|}\int_{t}^{t^{\prime}}\partial_{t}y_{\tau}(s)\,{\rm d}s\Big{|}\leq\int_{t}^{t^{\prime}}|\partial_{t}y_{\tau}(s)|\,{\rm d}s\,,

and using Hölder’s inequality we deduce

|y^τ(t)y^τ(t)|(tt|tyτ(s)|2ds)1/2(tt1𝑑s)1/2C|tt|1/2.|\hat{y}_{\tau}(t^{\prime})-\hat{y}_{\tau}(t)|\leq\Bigl{(}\int_{t}^{t^{\prime}}|\partial_{t}y_{\tau}(s)|^{2}\,{\rm d}s\Bigr{)}^{1/2}\Bigl{(}\int_{t}^{t^{\prime}}1\,ds\Bigr{)}^{1/2}\leq C|t^{\prime}-t|^{1/2}\,.

By Arzelà-Ascoli, y^τ\hat{y}_{\tau} converges uniformly to the limit function yy. For k{1,,T/τ}k\in\{1,\ldots,T/\tau\} and t((k1)τ,kτ]t\in((k-1)\tau,k\tau] we define the piecewise affine interpolation g^τ(t):=gk1τ+τ1(t(k1)τ)(gkτgk1τ)\hat{g}_{\tau}(t):=g_{k-1}^{\tau}+\tau^{-1}(t-(k-1)\tau)(g_{k}^{\tau}-g_{k-1}^{\tau}). Then, by the fundamental theorem of calculus and Hölder’s inequality, for any t[0,T]t\in[0,T] it follows

|g^τ(t)g(t)||g^τ(t)g((k1)τ)|+|g((k1)τ)g(t)|2tgL2([0,T];Nn)τ,|\hat{g}_{\tau}(t)-g(t)|\leq|\hat{g}_{\tau}(t)-g((k-1)\tau)|+|g((k-1)\tau)-g(t)|\leq 2\|\partial_{t}g\|_{L^{2}([0,T];\mathbb{R}^{Nn})}\sqrt{\tau},

where kk is the smallest natural number such that kτtk\tau\geq t. This shows g^τg\hat{g}_{\tau}\to g in L([0,T];Nn)L^{\infty}([0,T];\mathbb{R}^{Nn}). Note also that we have g^τ(t)=y^τ(t)\hat{g}_{\tau}(t)=\hat{y}_{\tau}(t) in D(Ω)\mathcal{L}_{D}(\Omega) for all t[0,T]t\in[0,T] since by construction ykτ=gkτy^{\tau}_{k}=g^{\tau}_{k} on D(Ω)\mathcal{L}_{D}(\Omega) for all kk. This yields y(t)𝒜(g(t))y(t)\in\mathcal{A}(g(t)) for all t[0,T]t\in[0,T]. It remains to observe that also the piecewise constant interpolation yτy_{\tau} converges uniformly to yy. Indeed, we know that for every t[0,T]t\in[0,T] we have yτ(t)=y^τ(s)y_{\tau}(t)=\hat{y}_{\tau}(s) for a certain s=kτs=k\tau with |st|τ|s-t|\leq\tau. In particular, we get

|y^τ(t)yτ(t)|=|y^τ(t)y^τ(s)|C|ts|Cτ.|\hat{y}_{\tau}(t)-y_{\tau}(t)|=|\hat{y}_{\tau}(t)-\hat{y}_{\tau}(s)|\leq C\sqrt{|t-s|}\leq C\sqrt{\tau}\,.

This shows that also yτy_{\tau} converges uniformly to yy (along the same subsequence). ∎

4.3. The limiting delay differential equation

Next, we consider the limiting evolution yy identified in Theorem 2.1, and give the proof of Theorem 2.2. We first introduce some additional notation. Recalling (4.1)–(4.2) we let

Eτx,x(t,):=Ekx,x()=Ex,x(;(yj)jk)andτ(t,):=k()=(;(yj)jk)E^{x,x^{\prime}}_{\tau}(t,\cdot):=E^{x,x^{\prime}}_{k}(\cdot)=E_{x,x^{\prime}}(\,\cdot\,;(y_{j})_{j\leq k})\quad\text{and}\quad\mathcal{E}_{\tau}(t,\cdot):=\mathcal{E}_{k}(\cdot)=\mathcal{E}(\cdot;(y_{j})_{j\leq k})\,

and Mτx,x(t):=Mkx,xM^{x,x^{\prime}}_{\tau}(t):=M^{x,x^{\prime}}_{k} for t(τk,τ(k+1)]t\in(\tau k,\tau(k+1)]. Although the potentials Wx,xW_{x,x^{\prime}} are smooth, the function vEτx,x(t,v)v\mapsto E^{x,x^{\prime}}_{\tau}(t,v) is possibly not differentiable if W(Mτx,x(t))=Wx,x(|v(x)v(x)|)W(M^{x,x^{\prime}}_{\tau}(t))=W_{x,x^{\prime}}(|v(x)-v(x^{\prime})|). Therefore, we need to introduce the concept of subdifferential for λ\lambda-convex functions, see e.g. [32]. As before, for convenience we drop x,xx,x^{\prime} in the notation. Recall that

Eτ(t,v)=(1φ(Mτ(t)))W(|v(x)v(x)|)+φ(Mτ(t))(W(Mτ(t))W(|v(x)v(x)|))E_{\tau}(t,v)=(1-\varphi(M_{\tau}(t)))\,W(|v(x^{\prime})-v(x)|)+\varphi(M_{\tau}(t))\big{(}W(M_{\tau}(t))\vee W(|v(x^{\prime})-v(x)|)\big{)}

for t[0,T]t\in[0,T]\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}, see (4.3). In fact, by Assumption (iv) one observes that Eτ(t,)E_{\tau}(t,\cdot) is λ\lambda-convex for some λ<0\lambda<0, i.e., vEτ(t,v)λ2|v|2v\mapsto E_{\tau}(t,v)-\frac{\lambda}{2}|v|^{2} is convex. In this case, the subdifferential is defined as

Eτ(t,v):={pN¯n:Eτ(t,y)Eτ(t,v)+p(y¯v¯)+λ2|y¯v¯|2for all yNn},\displaystyle\partial E_{\tau}(t,v):=\{p\in\mathbb{R}^{\bar{N}n}:E_{\tau}(t,y)\geq E_{\tau}(t,v)+p\cdot(\bar{y}-\bar{v})+\tfrac{\lambda}{2}|\bar{y}-\bar{v}|^{2}\ \text{for all $y\in\mathbb{R}^{Nn}$}\}\,, (4.15)

where y¯N¯n\bar{y}\in\mathbb{R}^{\bar{N}n} and v¯N¯n\bar{v}\in\mathbb{R}^{\bar{N}n} denote the vectors of images of x(Ω)D(Ω)x\in\mathcal{L}(\Omega)\setminus\mathcal{L}_{D}(\Omega) under yy and vv, respectively. By the theory of subdifferentials we compute that

Eτ(t,v)={{(1φ(Mτ(t)))W(|v(x)v(x)|)zx,x}W(Mτ(t))>W(|v(x)v(x)|){W(|v(x)v(x)|)zx,x}W(Mτ(t))<W(|v(x)v(x)|)[1φ(Mτ(t)),1]W(|v(x)v(x)|)zx,xW(Mτ(t))=W(|v(x)v(x)|),\partial E_{\tau}(t,v)=\begin{cases}\{(1-\varphi(M_{\tau}({t})))W^{\prime}(|v(x)-v(x^{\prime})|)z_{x,x^{\prime}}\}&W(M_{\tau}({t}))>W(|v(x)-v(x^{\prime})|)\\ \{W^{\prime}(|v(x)-v(x^{\prime})|)z_{x,x^{\prime}}\}&W(M_{\tau}({t}))<W(|v(x)-v(x^{\prime})|)\\ [1-\varphi(M_{\tau}({t})),1]\,\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}W^{\prime}(|v(x)-v(x^{\prime})|)z_{x,x^{\prime}}&W(M_{\tau}({t}))=W(|v(x)-v(x^{\prime})|)\end{cases}\,,

where zx,x:=(vi|v(x)v(x)|)i=1,,N¯N¯nz_{x,x^{\prime}}:=(\nabla_{v_{i}}|v(x)-v(x^{\prime})|)_{i=1,\ldots,\bar{N}}\in\mathbb{R}^{\bar{N}n} whose entries are given by vi|v(x)v(x)|=v(x)v(x)|v(x)v(x)|n\nabla_{v_{i}}|v(x)-v(x^{\prime})|=\frac{v(x)-v(x^{\prime})}{|v(x)-v(x^{\prime})|}\in\mathbb{R}^{n} if x=xix=x_{i}, vi|v(x)v(x)|=v(x)v(x)|v(x)v(x)|\nabla_{v_{i}}|v(x)-v(x^{\prime})|=\frac{v(x^{\prime})-v(x)}{|v(x)-v(x^{\prime})|} if x=xix^{\prime}=x_{i}, and vi|v(x)v(x)|=0\nabla_{v_{i}}|v(x)-v(x^{\prime})|=0 if xix,xx_{i}\neq x,x^{\prime}. Here, we use the notation W=ddrWW^{\prime}=\frac{\rm d}{{\rm d}r}W. Note that for W(Mτ(t))W(|v(x)v(x)|)W(M_{\tau}({t}))\neq W(|v(x)-v(x^{\prime})|), the function is differentiable and therefore the subdifferential only consists of one element, whereas in the case W(Mτ(t))=W(|v(x)v(x)|)W(M_{\tau}({t}))=W(|v(x)-v(x^{\prime})|) it is given by an interval. If Eτ(t,v)\partial E_{\tau}(t,v) is not single valued, we denote by Eτ(t,v)\partial^{\circ}E_{\tau}(t,v) the element of minimal norm. In our case, this is

Eτ(t,v)={(1φ(Mτ(t)))W(|v(x)v(x)|)zx,xW(Mτ(t))W(|v(x)v(x)|)W(|v(x)v(x)|)zx,xW(Mτ(t))<W(|v(x)v(x)|).\displaystyle\partial^{\circ}E_{\tau}(t,v)=\begin{cases}(1-\varphi(M_{\tau}({t})))W^{\prime}(|v(x)-v(x^{\prime})|)z_{x,x^{\prime}}&W(M_{\tau}({t}))\geq W(|v(x)-v(x^{\prime})|)\\ W^{\prime}(|v(x)-v(x^{\prime})|)z_{x,x^{\prime}}&W(M_{\tau}({t}))<W(|v(x)-v(x^{\prime})|)\end{cases}\,. (4.16)

For the entire energy, this reads as

τ(t,v)=12x,x(Ω)xxEτx,x(t,v),τ(t,v)=12x,x(Ω)xxEτx,x(t,v)\displaystyle\partial\mathcal{E}_{\tau}(t,v)=\frac{1}{2}\sum_{\underset{x\neq x^{\prime}}{x,x^{\prime}\in\mathcal{L}(\Omega)}}\partial E^{x,x^{\prime}}_{\tau}(t,v),\quad\partial^{\circ}\mathcal{E}_{\tau}(t,v)=\frac{1}{2}\sum_{\underset{x\neq x^{\prime}}{x,x^{\prime}\in\mathcal{L}(\Omega)}}\partial^{\circ}E^{x,x^{\prime}}_{\tau}(t,v) (4.17)

for t[0,T]t\in[0,T]\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}, where as before τ(t,v)\partial^{\circ}\mathcal{E}_{\tau}(t,v) denotes the element of minimal norm. After these preparations, we proceed with the proof of Theorem 2.2.

Proof of Theorem 2.2.

Since by construction yk+1τargminvk(v)+ν|vyk|22τy^{\tau}_{k+1}\in\mathrm{arg}\min_{v}\mathcal{E}_{k}(v)+\frac{\nu|v-y_{k}|^{2}}{2\tau}, for times t(kτ,(k+1)τ)t\in(k\tau,(k+1)\tau) we obtain

νty^τ(t)τ(t,yτ(t))on (Ω)D(Ω),\displaystyle\nu\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}\partial_{t}\hat{y}_{\tau}(t)\in-\partial\mathcal{E}_{\tau}(t,y_{\tau}(t))\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}\quad\text{on $\mathcal{L}(\Omega)\setminus\mathcal{L}_{D}(\Omega)$}\,, (4.18)

where \partial is again taken with respect to the variables y1,,yN¯y_{1},\ldots,y_{\bar{N}}, cf. (4.15). We aim to pass to the limit in this equation. The term on the left-hand side converges weakly to νty\nu\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}\partial_{t}y by Theorem 2.1. We thus consider the limit of the right-hand side.

Because of the uniform convergence yτyy_{\tau}\to y, we particularly know that for an arbitrary pair of lattice points (x,x)(x,x^{\prime}) we have

|yτ(t,x)yτ(t,x)||y(t,x)y(t,x)| as τ0 for all t[0,T].|y_{\tau}(t,x^{\prime})-y_{\tau}(t,x)|\to|y(t,x)-y(t,x^{\prime})|\quad\text{ as $\tau\to 0$ for all $t\in[0,T]$\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}}\,.

With the continuity of Wx,xW^{\prime}_{x,x^{\prime}}, we thus obtain

Wx,x(|yτ(t,x)yτ(t,x)|)Wx,x(|y(t,x)y(t,x)|) for all t[0,T].\displaystyle W^{\prime}_{x,x^{\prime}}(|y_{\tau}(t,x)-y_{\tau}(t,x^{\prime})|)\to W^{\prime}_{x,x^{\prime}}(|y(t,x)-y(t,x^{\prime})|)\quad\text{ for all }t\in[0,T]\,. (4.19)

Due to the fact that the convergence is uniform in time, we also get the continuity of Mτ(t)M_{\tau}(t) with respect to τ\tau, i.e., we get

Mτx,x(t)=supstτ|yτ(s,x)yτ(s,x)|sups<t|y(s,x)y(s,x)|\displaystyle M^{x,x^{\prime}}_{\tau}(t)=\sup_{s\leq t-\tau}|y_{\tau}(s,x)-y_{\tau}(s,x^{\prime})|\to\sup_{s<t}|y(s,x)-y(s,x^{\prime})| (4.20)

as τ0\tau\to 0 for each pair (x,x)(x,x^{\prime}) and all t[0,T]t\in[0,T]. With the definition in (2.2), this means

Mτx,x(t)Mx,x((y(s))s<t)=:Mx,x(t).\displaystyle M^{x,x^{\prime}}_{\tau}(t)\to M_{x,x^{\prime}}((y(s))_{s<t}\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0})=:M^{x,x^{\prime}}(t). (4.21)

The convergences (4.19)–(4.20) and the continuity of φ\varphi allow us to go to the limit in Eτx,x(t,yτ(t))\partial E^{x,x^{\prime}}_{\tau}(t,y_{\tau}(t)), i.e.,

limτ0Eτx,x(t,yτ(t))=Ex,x(y(t);(y(s))s<t)\displaystyle\lim_{\tau\to 0}\partial E^{x,x^{\prime}}_{\tau}(t,y_{\tau}(t))=\partial{E}_{x,x^{\prime}}(y(t);(y(s))_{s<t})\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0} (4.22)

for all (x,x)(x,x^{\prime}) and all t[0,T]t\in[0,T], where

Ex,x(y(t);(y(s))s<t)={{(1φ(Mx,x(t)))Wx,x(|y(t,x)y(t,x)|)zx,x}{Wx,x(|y(t,x)y(t,x)|)zx,x}[1φ(Mx,x(t)),1]Wx,x(|y(t,x)y(t,x)|)zx,x,\partial{E}_{x,x^{\prime}}(y(t);(y(s))_{s<t})\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}=\begin{cases}\{(1-\varphi(M^{x,x^{\prime}}(t)))W^{\prime}_{x,x^{\prime}}(|y(t,x)-y(t,x^{\prime})|)z_{x,x^{\prime}}\}\\ \{W^{\prime}_{x,x^{\prime}}(|y(t,x)-y(t,x^{\prime})|)z_{x,x^{\prime}}\}\\ [1-\varphi(M^{x,x^{\prime}}(t)),1]\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}\,W^{\prime}_{x,x^{\prime}}(|y(t,x)-y(t,x^{\prime})|)z_{x,x^{\prime}},\end{cases}

depending on whether Wx,x(Mx,x(t))W_{x,x^{\prime}}(M^{x,x^{\prime}}(t)) is bigger, smaller, or equal to Wx,x(|y(t,x)y(t,x)|)W_{x,x^{\prime}}(|y(t,x)-y(t,x^{\prime})|). Summing over all pairs (x,x)(x,x^{\prime}) and recalling the definition of the energy in (2.6) we conclude

limτ0τ(t,yτ(t))=(y(t);(y(s))s<t)on (Ω)D(Ω).{\lim_{\tau\to 0}\partial\mathcal{E}_{\tau}(t,y_{\tau}(t))=\partial\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}\mathcal{E}(y(t);(y(s))_{s<t})\quad\text{on $\mathcal{L}(\Omega)\setminus\mathcal{L}_{D}(\Omega)$}.}

Now, passing to the limit in (4.18) we conclude

νty(t)(y(t);(y(s))s<t)on (Ω)D(Ω)\nu\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}\partial_{t}{y}(t)\in-\partial\mathcal{E}(y(t);(y(s))_{s<t})\quad\text{on $\mathcal{L}(\Omega)\setminus\mathcal{L}_{D}(\Omega)$}

for almost every t[0,T]t\in[0,T]. Recalling the argumentation in [32, Proposition 2.2] we deduce that

νty(t)=(y(t);(y(s))s<t)on (Ω)D(Ω)\nu\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}\partial_{t}{y}(t)=-\partial^{\circ}\mathcal{E}(y(t);(y(s))_{s<t})\quad\text{on $\mathcal{L}(\Omega)\setminus\mathcal{L}_{D}(\Omega)$}

for almost every t[0,T]t\in[0,T]. This concludes the proof. ∎

Remark 4.3 (Role of φ\varphi and viscosity ν\nu).

The delicate part in the above proof is the limiting passage τ0\tau\to 0 in τ(t,)\partial\mathcal{E}_{\tau}(t,\cdot). In particular, the continuity of φ\varphi is essential in (4.22): if φ\varphi was not continuous instead, as in the possible modeling assumption φ(r)=0\varphi(r)=0 for rR1r\leq R^{1} and φ(r)=1\varphi(r)=1 for r>R1r>R^{1} discussed in Subsection 2.2, it would not be clear how to obtain convergence as τ0\tau\to 0. We also mention that we consider a model of rate type with viscosity in order to control ty\partial_{t}y and thus to obtain uniform convergence. This is crucial in order to obtain continuity of the memory variable, see (4.21). For a model in the realm of rate-independent processes, uniform convergence cannot be guaranteed, and thus we possibly do not have continuity in (4.21).

Remark 4.4 (Proof of existence for (2.12)).

We briefly indicate the necessary adaptations in the proof in order to derive existence of solutions to (2.12). First, by an argument analogous to the one in Lemma 4.2 one can show that

k=1T/τν|¯yk¯yk1|22τC.\displaystyle\sum_{k=1}^{T/\tau}\frac{\nu|\bar{\nabla}y_{k}-\bar{\nabla}y_{k-1}|^{2}}{2\tau}\leq C. (4.23)

By the triangle inequality we find for each j{1,N}j\in\{1,\ldots N\} that

|yk(xj)yk1(xj)||yk(x1)yk1(x1)|+i=2j|(yk(xi)yk1(xi))(yk(xi1)yk1(xi1))|.|y_{k}(x_{j})-y_{k-1}(x_{j})|\leq|y_{k}(x_{1})-y_{k-1}(x_{1})|+\sum_{i=2}^{j}|(y_{k}(x_{i})-y_{k-1}(x_{i}))-(y_{k}(x_{i-1})-y_{k-1}(x_{i-1}))|.

By a discrete Hölder’s inequality we then find

|yk(xj)yk1(xj)|2Cj(|yk(x1)yk1(x1)|2+i=2j|(yk(xi)yk1(xi))(yk(xi1)yk1(xi1))|2).|y_{k}(x_{j})-y_{k-1}(x_{j})|^{2}\leq Cj\Big{(}|y_{k}(x_{1})-y_{k-1}(x_{1})|^{2}+\sum_{i=2}^{j}|(y_{k}(x_{i})-y_{k-1}(x_{i}))-(y_{k}(x_{i-1})-y_{k-1}(x_{i-1}))|^{2}\Big{)}.

Summation over all atoms and using yk(x1)=gk(x1)y_{k}(x_{1})=g_{k}(x_{1}) for all time steps yields

j=1N|yk(xj)yk1(xj)|2\displaystyle\sum\nolimits_{j=1}^{N}|y_{k}(x_{j})-y_{k-1}(x_{j})|^{2} CN2(|gk(x1)gk1(x1)|2\displaystyle\leq CN^{2}\big{(}|g_{k}(x_{1})-g_{k-1}(x_{1})|^{2}\vspace{-0.2cm}
+i=2N|(yk(xi)yk1(xi))(yk(xi1)yk1(xi1))|2)\displaystyle\ \ \ \ \ +\sum\nolimits_{i=2}^{N}|(y_{k}(x_{i})-y_{k-1}(x_{i}))-(y_{k}(x_{i-1})-y_{k-1}(x_{i-1}))|^{2}\big{)}
CN2(|gk(x1)gk1(x1)|2+ε2|¯yk¯yk1|2),\displaystyle\leq CN^{2}\big{(}|g_{k}(x_{1})-g_{k-1}(x_{1})|^{2}+\varepsilon^{2}|\bar{\nabla}y_{k}-\bar{\nabla}y_{k-1}|^{2}\big{)},

where the last step follows from the definition in (2.9). This along with (4.23) as well as (4.6) shows

k=1T/τ|ykyk1|22τ=k=1T/τj=1N|yk(xj)yk1(xj)|22τC,\sum_{k=1}^{T/\tau}\frac{|y_{k}-y_{k-1}|^{2}}{2\tau}=\sum_{k=1}^{T/\tau}\sum_{j=1}^{N}\frac{|y_{k}(x_{j})-y_{k-1}(x_{j})|^{2}}{2\tau}\leq C,

and at this point the compactness proof in Theorem 2.1 can be repeated. Concerning the passage τ0\tau\to 0, we only need to replace the inclusion (4.18) by

νD¯ty^τ(t)τ(t,yτ(t)),\nu\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}\bar{\rm D}\partial_{t}\hat{y}_{\tau}(t)\in-\partial\mathcal{E}_{\tau}(t,y_{\tau}(t))\,,

where D¯\bar{\rm D} is defined as in (2.10), and then we can pass to the limit on both sides as before.

Remark 4.5 (Extended model (2.13)).

We briefly comment on the fact that the proof also works for the enhanced energy (2.13). In fact, the continuity of φ\varphi and Wx,x,x′′W_{x,x^{\prime},x^{\prime\prime}} as well as the continuity of the time-discrete memory variable Mx,xτM^{\tau}_{x,x^{\prime}} (see (4.21)), which follows from the uniform convergence yτyy_{\tau}\to y, ensure the validity of (4.22) also in this setting.

5. Conclusion and future work

In this paper, we have developed a mathematically sound framework for the evolutionary description of brittle fracture on the atomistic level. The proposed model features an energy that comprises a memory variable for each pair interaction accounting for the irreversibility of the fracture process. We have proven the existence of a quasi-static evolution driven by this energy resulting in a delay-differential equation. Furthermore, our analysis is supplemented with numerical experiments in 1D and 2D. Here, we observed a crack evolving along crystallographic lines, in accordance with previous experimental and mathematical results.
As mentioned before, this study forms the foundation of a forthcoming work [26] where we will investigate the atomistic-to-continuum passage for crack evolution. Additionally, it would be of interest to further examine possible extensions of the model to non-local and multi-body energies. In regard to numerics, one could consider the effects of different lattice structures on the crack evolution.

Acknowledgements

This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 377472739/GRK 2423/1-2019. The authors are very grateful for this support. This work was supported by the DFG project FR 4083/3-1 and by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy EXC 2044 -390685587, Mathematics Münster: Dynamics–Geometry–Structure.

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