
Public opinion and opinion dynamics can have a strong effect on the transmission rate of an infectious disease for which there is no vaccine. The coupling of disease and opinion dynamics however, creates a dynamical system that is complex and poorly understood. We present a simple model in which susceptible groups adopt or give up prophylactic behaviour in accordance with the influence related to pro- and con-prophylactic communication. This influence varies with disease prevalence. We observe how the speed of the opinion dynamics affects the total size and peak size of the epidemic. We find that more reactive populations will experience a lower peak epidemic size, but possibly a larger final size and more epidemic waves, and that an increase in polarization results in a larger epidemic.
Citation: Rebecca C. Tyson, Noah D. Marshall, Bert O. Baumgaertner. Transient prophylaxis and multiple epidemic waves[J]. AIMS Mathematics, 2022, 7(4): 5616-5633. doi: 10.3934/math.2022311
[1] | Paolo Luzzini, Paolo Musolino . Perturbation analysis of the effective conductivity of a periodic composite. Networks and Heterogeneous Media, 2020, 15(4): 581-603. doi: 10.3934/nhm.2020015 |
[2] | Mohamed Camar-Eddine, Laurent Pater . Homogenization of high-contrast and non symmetric conductivities for non periodic columnar structures. Networks and Heterogeneous Media, 2013, 8(4): 913-941. doi: 10.3934/nhm.2013.8.913 |
[3] | Hakima Bessaih, Yalchin Efendiev, Florin Maris . Homogenization of the evolution Stokes equation in a perforated domain with a stochastic Fourier boundary condition. Networks and Heterogeneous Media, 2015, 10(2): 343-367. doi: 10.3934/nhm.2015.10.343 |
[4] | Zhi Mao, Dan Luo . A robust adaptive grid method for first-order nonlinear singularly perturbed Fredholm integro-differential equations. Networks and Heterogeneous Media, 2023, 18(3): 1006-1023. doi: 10.3934/nhm.2023044 |
[5] | Ciro D’Apice, Umberto De Maio, T. A. Mel'nyk . Asymptotic analysis of a perturbed parabolic problem in a thick junction of type 3:2:2. Networks and Heterogeneous Media, 2007, 2(2): 255-277. doi: 10.3934/nhm.2007.2.255 |
[6] | Dag Lukkassen, Annette Meidell, Peter Wall . On the conjugate of periodic piecewise harmonic functions. Networks and Heterogeneous Media, 2008, 3(3): 633-646. doi: 10.3934/nhm.2008.3.633 |
[7] | Fabio Camilli, Claudio Marchi . On the convergence rate in multiscale homogenization of fully nonlinear elliptic problems. Networks and Heterogeneous Media, 2011, 6(1): 61-75. doi: 10.3934/nhm.2011.6.61 |
[8] | Sara Monsurrò, Carmen Perugia . Homogenization and exact controllability for problems with imperfect interface. Networks and Heterogeneous Media, 2019, 14(2): 411-444. doi: 10.3934/nhm.2019017 |
[9] | François Murat, Ali Sili . A remark about the periodic homogenization of certain composite fibered media. Networks and Heterogeneous Media, 2020, 15(1): 125-142. doi: 10.3934/nhm.2020006 |
[10] | Timothy Blass, Rafael de la Llave . Perturbation and numerical methods for computing the minimal average energy. Networks and Heterogeneous Media, 2011, 6(2): 241-255. doi: 10.3934/nhm.2011.6.241 |
Public opinion and opinion dynamics can have a strong effect on the transmission rate of an infectious disease for which there is no vaccine. The coupling of disease and opinion dynamics however, creates a dynamical system that is complex and poorly understood. We present a simple model in which susceptible groups adopt or give up prophylactic behaviour in accordance with the influence related to pro- and con-prophylactic communication. This influence varies with disease prevalence. We observe how the speed of the opinion dynamics affects the total size and peak size of the epidemic. We find that more reactive populations will experience a lower peak epidemic size, but possibly a larger final size and more epidemic waves, and that an increase in polarization results in a larger epidemic.
In the present paper we study the effective conductivity of an
(λ+,λ−)∈[0,+∞[2∗≡[0,+∞[2∖{(0,0)}. |
We note that the limit case of zero conductivity corresponds to a thermal insulator. On the other hand, if the conductivity tends to
We now introduce the geometry of the problem. If
q=(q110⋯00⋱⋯0⋮⋮⋱⋮00⋯qnn), | (1) |
and
Q≡n∏j=1]0,qjj[⊆Rn. | (2) |
The set
˜Q≡]0,1[n,˜q≡In≡(10⋯00⋱⋯0⋮⋮⋱⋮00⋯1). |
Then we take
α∈]0,1[ and a bounded open connected subset Ω of Rn of class C1,α such that Rn∖¯Ω is connected. | (3) |
The symbol '
Sq[qI[ϕ]]≡⋃z∈Zn(qz+qI[ϕ]),Sq[qI[ϕ]]−≡Rn∖¯Sq[qI[ϕ]]. |
The set
With the aim of introducing the definition of the effective conductivity, we first have to introduce a boundary value problem for the Laplace equation. If
{Δu+j=0in Sq[qI[ϕ]],Δu−j=0in Sq[qI[ϕ]]−,u+j(x+qeh)=u+j(x)+δhjqjj∀x∈¯Sq[qI[ϕ]],∀h∈{1,…,n},u−j(x+qeh)=u−j(x)+δhjqjj∀x∈¯Sq[qI[ϕ]]−,∀h∈{1,…,n},λ+∂∂νqI[ϕ]u+j−λ−∂∂νqI[ϕ]u−j=0on ∂qI[ϕ],u+j−u−j=0on ∂qI[ϕ],∫∂qI[ϕ]u+jdσ=0, | (4) |
where
Definition 1.1. Let
λeff[q,ϕ,(λ+,λ−)]≡(λeffij[q,ϕ,(λ+,λ−)])i,j=1,…,n |
is the
λeffij[q,ϕ,(λ+,λ−)]≡1|Q|n{λ+∫qI[ϕ]∂∂xiu+j[q,ϕ,(λ+,λ−)](x)dx+λ−∫Q∖¯qI[ϕ]∂∂xiu−j[q,ϕ,(λ+,λ−)](x)dx}∀i,j∈{1,…,n}. |
Remark 1.2. Under the assumptions of Definition 1.1, by applying the divergence theorem, one can verify that
λeffij[q,ϕ,(λ+,λ−)]=1|Q|n{λ+∫qI[ϕ]Du+i[q,ϕ,(λ+,λ−)](x)⋅Du+j[q,ϕ,(λ+,λ−)](x)dx+λ−∫Q∖¯qI[ϕ]Du−i[q,ϕ,(λ+,λ−)](x)⋅Du−j[q,ϕ,(λ+,λ−)](x)dx}∀i,j∈{1,…,n}. |
Indeed, if we set
˜u+k[q,ϕ,(λ+,λ−)](x)=u+k[q,ϕ,(λ+,λ−)](x)−xk∀x∈¯Sq[qI[ϕ]]˜u−k[q,ϕ,(λ+,λ−)](x)=u−k[q,ϕ,(λ+,λ−)](x)−xk∀x∈¯Sq[qI[ϕ]]−∀k∈{1,…,n}, |
then
1|Q|n{λ+∫qI[ϕ]Du+i[q,ϕ,(λ+,λ−)](x)⋅Du+j[q,ϕ,(λ+,λ−)](x)dx+λ−∫Q∖¯qI[ϕ]Du−i[q,ϕ,(λ+,λ−)](x)⋅Du−j[q,ϕ,(λ+,λ−)](x)dx}=1|Q|n{λ+∫qI[ϕ]Du+j[q,ϕ,(λ+,λ−)](x)⋅D(xi+˜u+i[q,ϕ,(λ+,λ−)](x))dx+λ−∫Q∖¯qI[ϕ]Du−j[q,ϕ,(λ+,λ−)](x)⋅D(xi+˜u−i[q,ϕ,(λ+,λ−)](x))dx}=1|Q|n{λ+∫qI[ϕ]Du+j[q,ϕ,(λ+,λ−)](x)⋅Dxidx+λ+∫qI[ϕ]Du+j[q,ϕ,(λ+,λ−)](x)⋅D˜u+i[q,ϕ,(λ+,λ−)](x)dx+λ−∫Q∖¯qI[ϕ]Du−j[q,ϕ,(λ+,λ−)](x)⋅Dxidx+λ−∫Q∖¯qI[ϕ]Du−j[q,ϕ,(λ+,λ−)](x)⋅D˜u−i[q,ϕ,(λ+,λ−)](x)dx}=1|Q|n{λ+∫qI[ϕ]∂∂xiu+j[q,ϕ,(λ+,λ−)](x)dx+λ+∫qI[ϕ]Du+j[q,ϕ,(λ+,λ−)](x)⋅D˜u+i[q,ϕ,(λ+,λ−)](x)dx+λ−∫Q∖¯qI[ϕ]∂∂xiu−j[q,ϕ,(λ+,λ−)](x)dx+λ−∫Q∖¯qI[ϕ]Du−j[q,ϕ,(λ+,λ−)](x)⋅D˜u−i[q,ϕ,(λ+,λ−)](x)dx}. |
Therefore, in order to conclude that the two definitions are equivalent, we need to show that
λ+∫qI[ϕ]Du+j[q,ϕ,(λ+,λ−)](x)⋅D˜u+i[q,ϕ,(λ+,λ−)](x)dx+λ−∫Q∖¯qI[ϕ]Du−j[q,ϕ,(λ+,λ−)](x)⋅D˜u−i[q,ϕ,(λ+,λ−)](x)dx=0. | (5) |
By an application of the divergence theorem for
∫qI[ϕ]Du+j[q,ϕ,(λ+,λ−)](x)⋅D˜u+i[q,ϕ,(λ+,λ−)](x)dx=∫∂qI[ϕ](∂∂νqI[ϕ]u+j[q,ϕ,(λ+,λ−)](x))˜u+i[q,ϕ,(λ+,λ−)](x)dσx | (6) |
and
∫Q∖¯qI[ϕ]Du−j[q,ϕ,(λ+,λ−)](x)⋅D˜u−i[q,ϕ,(λ+,λ−)](x)dx=∫∂Q(∂∂νQu−j[q,ϕ,(λ+,λ−)](x))˜u−i[q,ϕ,(λ+,λ−)](x)dσx−∫∂qI[ϕ](∂∂νqI[ϕ]u−j[q,ϕ,(λ+,λ−)](x))˜u−i[q,ϕ,(λ+,λ−)](x)dσx. | (7) |
By the periodicity of
∫∂Q(∂∂νQu−j[q,ϕ,(λ+,λ−)](x))˜u−i[q,ϕ,(λ+,λ−)](x)dσx=∫∂Q(∂∂νQxj)˜u−i[q,ϕ,(λ+,λ−)](x)dσx+∫∂Q(∂∂νQ˜u−j[q,ϕ,(λ+,λ−)](x))˜u−i[q,ϕ,(λ+,λ−)](x)dσx=∫∂Q(νQ(x)⋅ej)˜u−i[q,ϕ,(λ+,λ−)](x)dσx+∫∂Q(νQ(x)⋅D˜u−j[q,ϕ,(λ+,λ−)](x))˜u−i[q,ϕ,(λ+,λ−)](x)dσx=0, | (8) |
since contributions on opposite sides of
λ+∫qI[ϕ]Du+j[q,ϕ,(λ+,λ−)](x)⋅D˜u+i[q,ϕ,(λ+,λ−)](x)dx+λ−∫Q∖¯qI[ϕ]Du−j[q,ϕ,(λ+,λ−)](x)⋅D˜u−i[q,ϕ,(λ+,λ−)](x)dx=λ+∫∂qI[ϕ](∂∂νqI[ϕ]u+j[q,ϕ,(λ+,λ−)](x))˜u+i[q,ϕ,(λ+,λ−)](x)dσx−λ−∫∂qI[ϕ](∂∂νqI[ϕ]u−j[q,ϕ,(λ+,λ−)](x))˜u−i[q,ϕ,(λ+,λ−)](x)dσx. | (9) |
Since the validity of (4) implies that
˜u+i[q,ϕ,(λ+,λ−)](x)=˜u−i[q,ϕ,(λ+,λ−)](x)∀x∈∂qI[ϕ] |
and that
λ+∂∂νqI[ϕ]u+j[q,ϕ,(λ+,λ−)](x)−λ−∂∂νqI[ϕ]u−j[q,ϕ,(λ+,λ−)](x)=0∀x∈∂qI[ϕ], |
we then deduce by (9) that (5) holds true.
As a consequence, the effective conductivity matrix of Definition 1.1 coincides with the one analyzed by Ammari, Kang, and Touibi [5,p. 121] for a periodic two-phase composite and which can be deduced by classical homogenization theory (see, e.g., Allaire [1], Bensoussan, Lions, and Papanicolaou [6], Jikov, Kozlov, and Oleĭnik [27], Milton [41]). We emphasize that the justification of the expression of the effective conductivity via homogenization theory holds for 'small' values of the periodicity parameters. For further remarks on the definition of effective conductivity we refer to Gluzman, Mityushev, and Nawalaniec [24,§2.2].
The main goal of our paper is to give an answer to the following question:
What can be said on the regularity of the map(q,ϕ,(λ+,λ−))↦λeff[q,ϕ,(λ+,λ−)]? | (10) |
We answer to the above question by proving that for all
Λij:D+n(R)×(C1,α(∂Ω,Rn)∩A˜Q∂Ω)×]−1−ε,1+ε[→R |
such that
λeffij[q,ϕ,(λ+,λ−)]=δijλ−+(λ++λ−)Λij[q,ϕ,λ+−λ−λ++λ−] | (11) |
for all
In particular, in the present paper we follow the strategy of [39] where we have studied the behavior of the longitudinal flow along a periodic array of cylinders upon perturbations of the shape of the cross section of the cylinders and the periodicity structure, when a Newtonian fluid is flowing at low Reynolds numbers around the cylinders. More precisely, we transform the problem into a set of integral equations defined on a fixed domain and depending on the set of variables
Formula (11) implies that the effective conductivity
(q,ϕ,(λ+,λ−))↦λeffij[q,ϕ,(λ+,λ−)] | (12) |
from
λeffij[qδ,ϕδ,(λ+δ,λ−δ)]=∞∑k=0ckδk | (13) |
for
Furthermore, such a high regularity result can be seen as a theoretical justification which guarantees that differential calculus may be used in order to characterize critical periodicity-shape-conductivity triples
As already mentioned, our method is based on integral equations, that are derived by potential theory. However, integral equations could also be deduced by the generalized alternating method of Schwarz (cf. Gluzman, Mityushev, and Nawalaniec [24] and Drygaś, Gluzman, Mityushev, and Nawalaniec [19]), which also allows to produce expansions in the concentration.
Incidentally, we observe that the are several contributions concerning optimization of effective parameters from many different points of view. For example, one can look for optimal lattices without confining to rectangular distributions. In this direction, Kozlov [29] and Mityushev and Rylko [44] have discussed extremal properties of hexagonal lattices of disks. On the other hand, even if, in wide generality, the optimal composite does not exist (cf. Cherkaev [13]), one can discuss the dependence on the shape under some specific restrictions. For example, one could build composites with prescribed effective conductivity as described in Lurie and Cherkaev [38] (see also Gibiansky and Cherkaev [22]). In Rylko [49], the author has studied the influence of perturbations of the shape of the circular inclusion on the macroscopic conductivity properties of 2D dilute composites. Inverse problems concerning the determination of the shape of equally strong holes in elastic structures were considered by Cherepanov [12]. For an experimental work concerning the analysis of particle reinforced composites we mention Kurtyka and Rylko [30]. Also, we mention that one could apply the topological derivative method as in Novotny and Sokołowski [46] for the optimal design of microstructures.
Let
Let
Sq[ΩQ]≡⋃z∈Zn(qz+ΩQ),Sq[ΩQ]−≡Rn∖¯Sq[ΩQ]. |
If
Ckb(¯Sq[ΩQ]−)≡{u∈Ck(¯Sq[ΩQ]−):Dγu is bounded ∀γ∈Nn s. t. |γ|≤k}, |
and we endow
‖u‖Ckb(¯Sq[ΩQ]−)≡∑|γ|≤ksupx∈¯Sq[ΩQ]−|Dγu(x)|∀u∈Ckb(¯Sq[ΩQ]−), |
where
Ck,βb(¯Sq[ΩQ]−)≡{u∈Ck,β(¯Sq[ΩQ]−):Dγu is bounded ∀γ∈Nn s. t. |γ|≤k}, |
and we endow
‖u‖Ck,βb(¯Sq[ΩQ]−)≡∑|γ|≤ksupx∈¯Sq[ΩQ]−|Dγu(x)|+∑|γ|=k|Dγu:¯Sq[ΩQ]−|β∀u∈Ck,βb(¯Sq[ΩQ]−), |
where
Ckq(¯Sq[ΩQ]−)≡{u∈Ckb(¯Sq[ΩQ]−):u is q-periodic}, |
which we regard as a Banach subspace of
Ck,βq(¯Sq[ΩQ]−)≡{u∈Ck,βb(¯Sq[ΩQ]−):u is q-periodic}, |
which we regard as a Banach subspace of
Our method is based on a periodic version of classical potential theory. In order to construct periodic layer potentials, we replace the fundamental solution of the Laplace operator by a
ΔSq,n=∑z∈Znδqz−1|Q|n, |
where
Sq,n(x)=−∑z∈Zn∖{0}1|Q|n4π2|q−1z|2e2πi(q−1z)⋅x |
in the sense of distributions in
We now introduce periodic layer potentials. Let
vq[∂ΩQ,μ](x)≡∫∂ΩQSq,n(x−y)μ(y)dσy∀x∈Rn,wq,∗[∂ΩQ,μ](x)≡∫∂ΩQνΩQ(x)⋅DSq,n(x−y)μ(y)dσy∀x∈∂ΩQ, |
for all
v+q[∂ΩQ,μ]≡vq[∂ΩQ,μ]|¯Sq[ΩQ] v−q[∂ΩQ,μ]≡vq[∂ΩQ,μ]|¯Sq[ΩQ]−. |
We collect in the following theorem some properties of
Theorem 2.1. Let
(i) The map from
(ii) Let
∂∂νΩQv±q[∂ΩQ,μ]=∓12μ+wq,∗[∂ΩQ,μ]on ∂ΩQ. |
Moreover,
∫∂ΩQwq,∗[∂ΩQ,μ]dσ=(12−|ΩQ|n|Q|n)∫∂ΩQμdσ. |
(iii) Let
Δvq[∂ΩQ,μ]=0in Rn∖∂Sq[ΩQ]. |
(iv) The operator
In order to consider shape perturbations of the inclusions of the composite, we introduce a class of diffeomorphisms. Let
A˜Q∂Ω≡{ϕ∈A∂Ω:ϕ(∂Ω)⊆˜Q},A˜Q¯Ω′≡{Φ∈A¯Ω′:Φ(¯Ω′)⊆˜Q}. | (14) |
If
We conclude this section of preliminaries with some results on problem (4). By means of the following proposition, whose proof is of immediate verification, we can transform problem (4) into a
Proposition 2.2. Let
(u+j,u−j)∈C1,αloc(¯Sq[qI[ϕ]])×C1,αloc(¯Sq[qI[ϕ]]−) |
solves problem (4) if and only if the pair
(˜u+j,˜u−j)∈C1,αq(¯Sq[qI[ϕ]])×C1,αq(¯Sq[qI[ϕ]]−) |
delivered by
˜u+j(x)=u+j(x)−xj∀x∈¯Sq[qI[ϕ]],˜u−j(x)=u−j(x)−xj∀x∈¯Sq[qI[ϕ]]−, |
solves
{Δ˜u+j=0in Sq[qI[ϕ]],Δ˜u−j=0in Sq[qI[ϕ]]−,˜u+j(x+qeh)=˜u+j(x)∀x∈¯Sq[qI[ϕ]],∀h∈{1,…,n},˜u−j(x+qeh)=˜u−j(x)∀x∈¯Sq[qI[ϕ]]−,∀h∈{1,…,n},λ+∂∂νqI[ϕ]˜u+j−λ−∂∂νqI[ϕ]˜u−j=(λ–λ+)(νqI[ϕ])jon ∂qI[ϕ],˜u+j−˜u−j=0on ∂qI[ϕ],∫∂qI[ϕ]˜u+jdσ=−∫∂qI[ϕ]yjdσy. | (15) |
Next, we show that problems (4) and (15) admit at most one solution.
Proposition 2.3. Let
(i) Problem (4) has at most one solution in
(ii) Problem (15) has at most one solution in
Proof. By the equivalence of problems (4) and (15) of Proposition 2.2, it suffices to prove statement (ⅱ), which we now consider. By the linearity of the problem, it clearly suffices to show that if
{Δ˜u+j=0in Sq[qI[ϕ]],Δ˜u−j=0in Sq[qI[ϕ]]−,˜u+j(x+qeh)=˜u+j(x)∀x∈¯Sq[qI[ϕ]],∀h∈{1,…,n},˜u−j(x+qeh)=˜u−j(x)∀x∈¯Sq[qI[ϕ]]−,∀h∈{1,…,n},λ+∂∂νqI[ϕ]˜u+j−λ−∂∂νqI[ϕ]˜u−j=0on ∂qI[ϕ],˜u+j−˜u−j=0on ∂qI[ϕ],∫∂qI[ϕ]˜u+jdσ=0, | (16) |
then
Let
∂∂νqI[ϕ]˜u−j=0on ∂qI[ϕ]. |
Accordingly, the divergence theorem implies that
0≤∫Q∖¯qI[ϕ]|D˜u−j(y)|2dy=∫∂Q˜u−j(y)∂∂νQ˜u−j(y)dσy−∫∂qI[ϕ]˜u−j(y)∂∂νqI[ϕ]˜u−j(y)dσy=0. |
Indeed, by the
∫∂Q˜u−j(y)∂∂νQ˜u−j(y)dσy=0. |
Then, there exists
Next we consider the case
∂∂νqI[ϕ]˜u+j=0on ∂qI[ϕ]. |
By the uniqueness of the solution of the interior Neumann problem up to constants, there exists
In this section, we convert problem (4) into an equivalent integral equation. As done in [39] for the longitudinal flow along a periodic array of cylinders, we do so by representing the solution in terms of single layer potentials, whose densities solve certain integral equations. Therefore, we first start with the following proposition regarding the invertibility of an integral operator that will appear in such integral formulation of problem (4).
Proposition 3.1. Let
Kγ[μ]=12μ−γwq,∗[∂qI[ϕ],μ]on ∂qI[ϕ],∀μ∈C0,α(∂qI[ϕ]). |
Then the following statements hold.
(i)
(ii)
Proof. We first consider statement (ⅰ). If
γ=γ+−γ−γ++γ−. |
Accordingly, we have to consider only the limit cases
K1[μ]=12μ−wq,∗[∂qI[ϕ],μ]=0on ∂qI[ϕ]. |
The jump formula for the normal derivative of the single layer potential of Theorem 2.1 (ⅱ) implies that
μ=∂∂νqI[ϕ]v−q[∂qI[ϕ],μ]−∂∂νqI[ϕ]v+q[∂qI[ϕ],μ]=0on ∂qI[ϕ]. |
Next, we consider the case
K−1[μ]=12μ+wq,∗[∂qI[ϕ],μ]=0on ∂qI[ϕ]. |
The jump formula for the normal derivative of the single layer potential of Theorem 2.1 (ⅱ) implies that
μ=∂∂νqI[ϕ]v−q[∂qI[ϕ],μ]−∂∂νqI[ϕ]v+q[∂qI[ϕ],μ]=0on ∂qI[ϕ]. |
Next, we consider statement (ⅱ). The Fredholm alternative theorem and the compactness of
Kγ[μ]=12μ−γwq,∗[∂qI[ϕ],μ]=0, | (17) |
then
0=∫∂qI[ϕ]Kγ[μ]dσ={12−γ(12−|qI[ϕ]||Q|)}∫∂qI[ϕ]μdσ. |
A straightforward computation shows that
We are now ready to show that problem (4) can be reformulated in terms of an integral equation which admits a unique solution.
Theorem 3.2. Let
(u+j[q,ϕ,(λ+,λ−)],u−j[q,ϕ,(λ+,λ−)])∈C1,αloc(¯Sq[qI[ϕ]])×C1,αloc(¯Sq[qI[ϕ]]−). |
Moreover
u+j[q,ϕ,(λ+,λ−)](x)=v+q[∂qI[ϕ],μj](x)−−∫∂qI[ϕ]v+q[∂qI[ϕ],μj](y)dσy−−∫∂qI[ϕ]yjdσy+xj∀x∈¯Sq[qI[ϕ]],u−j[q,ϕ,(λ+,λ−)](x)=v−q[∂qI[ϕ],μj](x)−−∫∂qI[ϕ]v−q[∂qI[ϕ],μj](y)dσy−−∫∂qI[ϕ]yjdσy+xj∀x∈¯Sq[qI[ϕ]]−, | (18) |
where
12μj−λ+−λ−λ++λ−wq,∗[∂qI[ϕ],μj]=λ+−λ−λ++λ−(νqI[ϕ])jon ∂qI[ϕ]. | (19) |
Proof. We first note that, by Proposition 2.3 (ⅱ), problem (4) has at most one solution in
(νqI[ϕ])j∈C0,α(∂qI[ϕ])0, |
Proposition 3.1 (ⅰ) implies that there exists a unique solution
λ+(−12μj+wq,∗[∂qI[ϕ],μj])−λ−(12μj+wq,∗[∂qI[ϕ],μj])=(λ–λ+)(νqI[ϕ])jon ∂qI[ϕ],v+q[∂qI[ϕ],μj]−−∫∂qI[ϕ]v+q[∂qI[ϕ],μj]dσ−v−q[∂qI[ϕ],μj]+−∫∂qI[ϕ]v−q[∂qI[ϕ],μj]dσ=0on ∂qI[ϕ]. |
Accordingly, the properties of the single layer potential (see Theorem 2.1) together with Proposition 2.2 imply that the pair of functions defined by (18) solves problem (4).
The previous theorem provides an integral equation formulation of problem (4) and a representation formula for its solution. We conclude this section by writing the effective conductivity in a form which makes use of the density
∫qI[ϕ]∂∂xiu+j[q,ϕ,(λ+,λ−)](x)dx=∫∂qI[ϕ]u+j[q,ϕ,(λ+,λ−)](y)(νqI[ϕ](y))idσy=∫∂qI[ϕ](v+q[∂qI[ϕ],μj](y)−−∫∂qI[ϕ]v+q[∂qI[ϕ],μj](z)dσz−−∫∂qI[ϕ]zjdσz+yj)(νqI[ϕ](y))idσy=∫∂qI[ϕ]v+q[∂qI[ϕ],μj](y)(νqI[ϕ](y))idσy−∫∂qI[ϕ](νqI[ϕ](y))idσy−∫∂qI[ϕ]v+q[∂qI[ϕ],μj](z)dσz−∫∂qI[ϕ](νqI[ϕ](y))idσy−∫∂qI[ϕ]zjdσz+δij|qI[ϕ]|n. |
Similarly, we have
∫Q∖¯qI[ϕ]∂∂xiu−j[q,ϕ,(λ+,λ−)](x)dx=∫∂Qu−j[q,ϕ,(λ+,λ−)](y)(νQ(y))idσy−∫∂qI[ϕ]u−j[q,ϕ,(λ+,λ−)](y)(νqI[ϕ](y))idσy=δij|Q|n−∫∂qI[ϕ]v−q[∂qI[ϕ],μj](y)(νqI[ϕ](y))idσy+∫∂qI[ϕ](νqI[ϕ](y))idσy−∫∂qI[ϕ]v−q[∂qI[ϕ],μj](z)dσz+∫∂qI[ϕ](νqI[ϕ](y))idσy−∫∂qI[ϕ]zjdσz−δij|qI[ϕ]|n. |
Indeed
∫∂Q(v−q[∂qI[ϕ],μj](y)−−∫∂qI[ϕ]v−q[∂qI[ϕ],μj](z)dσz−−∫∂qI[ϕ]zjdσz+yj)(νQ(y))idσy=∫∂Qyj(νQ(y))idσy=δij|Q|n. |
Moreover, by the divergence theorem, we have
∫∂qI[ϕ](νqI[ϕ](y))idσy=0∀i∈{1,…,n}. |
Accordingly, by the continuity of the single layer potential, we have that
λeffij[q,ϕ,(λ+,λ−)]=1|Q|n{λ+∫qI[ϕ]∂∂xiu+j[q,ϕ,(λ+,λ−)](x)dx+λ−∫Q∖¯qI[ϕ]∂∂xiu−j[q,ϕ,(λ+,λ−)](x)dx}=1|Q|n{δijλ−|Q|n+(λ+−λ−)(∫∂qI[ϕ]vq[∂qI[ϕ],μj](y)(νqI[ϕ](y))idσy−∫∂qI[ϕ](νqI[ϕ](y))idσy−∫∂qI[ϕ]vq[∂qI[ϕ],μj](z)dσz−∫∂qI[ϕ](νqI[ϕ](y))idσy−∫∂qI[ϕ]zjdσz+δij|qI[ϕ]|n)}=δijλ−+(λ++λ−){1|Q|n(λ+−λ−)(λ++λ−)(∫∂qI[ϕ]vq[∂qI[ϕ],μj](y)(νqI[ϕ](y))idσy+δij|qI[ϕ]|n)}. | (20) |
Thanks to Theorem 3.2, the study of problem (4) can be reduced to the study of the boundary integral equation (19). Therefore, our first step in order to study the dependence of the solution of problem (4) upon the triple
Before starting with this plan, we note that equation (19) is defined on the
Lemma 4.1. Let
12θj(t)−λ+−λ−λ++λ−∫qϕ(∂Ω)DSq,n(qϕ(t)−s)⋅νqI[ϕ](qϕ(t))(θj∘ϕ(−1))(q−1s)dσs=λ+−λ−λ++λ−(νqI[ϕ](qϕ(t)))j∀t∈∂Ω, | (21) |
if and only if the function
μj(x)=(θj∘ϕ(−1))(q−1x)∀x∈∂qI[ϕ] | (22) |
solves equation (19). Moreover, equation (21) has a unique solution in
Proof. The equivalence of equation (21) in the unknown
Inspired by Lemma 4.1, for all
Mj:D+n(R)×(C1,α(∂Ω,Rn)∩A˜Q∂Ω)×]−2,2[×C0,α(∂Ω)→C0,α(∂Ω) |
by setting
Mj[q,ϕ,γ,θ](t)≡12θ(t)−γ∫qϕ(∂Ω)DSq,n(qϕ(t)−s)⋅νqI[ϕ](qϕ(t))(θ∘ϕ(−1))(q−1s)dσs−γ(νqI[ϕ](qϕ(t)))j∀t∈∂Ω, | (23) |
for all
Mj[q,ϕ,λ+−λ−λ++λ−,θ]=0 on ∂Ω. | (24) |
Our aim is to recover the regularity of the solution
Lemma 4.2. Let
(i) The map from
V[q,ϕ,θ](t)≡∫qϕ(∂Ω)Sq,n(qϕ(t)−s)(θ∘ϕ(−1))(q−1s)dσs∀t∈∂Ω, |
is real analytic.
(ii) The map from
W∗[q,ϕ,θ](t)≡∫qϕ(∂Ω)DSq,n(qϕ(t)−s)⋅νqI[ϕ](qϕ(t))(θ∘ϕ(−1))(q−1s)dσs∀t∈∂Ω, |
is real analytic.
Next, we state the following technical lemma about the real analyticity upon the diffeomorphism
Lemma 4.3. Let
(i) For each
∫ϕ(∂Ω)w(s)dσs=∫∂Ωw∘ϕ(y)˜σ[ϕ](y)dσy,∀ω∈L1(ϕ(∂Ω)). |
Moreover, the map
(ii) The map from
We are now ready to prove that the solutions of (24) depend real analytically upon the triple 'periodicity-shape-contrast'. We do so by means of the following.
Proposition 4.4. Let
(i) For each
Mj[q,ϕ,γ,θj]=0on ∂Ω, |
and we denote such a function by
(ii) There exist
D+n(R)×(C1,α(∂Ω,Rn)∩A˜Q∂Ω)×]−1−ε,1+ε[ |
to
θj[q,ϕ,γ]=Θj[q,ϕ,γ]∀(q,ϕ,γ)∈D+n(R)×(C1,α(∂Ω,Rn)∩A˜Q∂Ω)×[−1,1]. |
Proof. The proof of statement (ⅰ) is a straightforward modification of the proof of Lemma 4.1. Indeed, it suffices to replace
Next we turn to consider statement (ⅱ). As a first step we have to study the regularity of the map
∂θMj[q,ϕ,γ,θj[q,ϕ,γ]](ψ)(t)=12ψ(t)−γ∫qϕ(∂Ω)DSq,n(qϕ(t)−s)⋅νqI[ϕ](qϕ(t))(ψ∘ϕ(−1))(q−1s)dσs∀t∈∂Ω, |
for all
In this section we prove our main result that answers to question (10) on the behavior of the effective conductivity upon the triple 'periodicity-shape-conductivity'. To this aim, we exploit the representation formula in (20) of the effective conductivity and the analyticity result of Proposition 4.4.
Theorem 5.1. Let
λeffij[q,ϕ,(λ+,λ−)]≡δijλ−+(λ++λ−)Λij[q,ϕ,λ+−λ−λ++λ−] | (25) |
for all
Proof. Let
Λij[q,ϕ,γ]≡1|Q|nγ{∫∂qI[ϕ]vq[∂qI[ϕ],(Θj[q,ϕ,γ]∘ϕ(−1))(q−1⋅)](y)(νqI[ϕ](y))idσy+δij|qI[ϕ]|n} |
for all
Λij[q,ϕ,γ]=1|Q|nγ{∫∂ΩV[q,ϕ,Θj[q,ϕ,γ]](y)(νqI[ϕ](qϕ(y)))i˜σ[qϕ](y)dσy+δij|qI[ϕ]|n} |
for all
|Q|n=n∏l=1qll∀q∈D+n(R), |
clearly
|qI[ϕ]|n=∫qI[ϕ]1dy=|Q|n∫I[ϕ]1dy=|Q|n1n∫ϕ(∂Ω)y⋅νI[ϕ](y)dσy=|Q|n1n∫∂Ωϕ(y)⋅νI[ϕ](ϕ(y))˜σ[ϕ](y)dσy. |
Then, by taking into account that the pointwise product in Schauder spaces is bilinear and continuous, and that the integral in Schauder spaces is linear and continuous, Lemma 4.3 implies that the map from
In the present paper we considered the effective conductivity of a two or three dimensional periodic two-phase composite material. The composite is obtained by introducing into a homogeneous matrix a periodic set of inclusions of a large class of sufficiently smooth shapes. We proved a regularity result for the effective conductivity of such a composite upon perturbations of the periodicity structure, of the shape of the inclusions, and of the conductivities of each material. Namely, we showed the real analytic dependence of the effective conductivity as a functional acting between suitable Banach spaces.
The consequences of our result are twofold. First, this high regularity result represents a theoretical justification to guarante that differential calculus may be used in order to characterize critical periodicity-shape-conductivity triples
λeffij[qδ,ϕδ,(λ+δ,λ−δ)]=∞∑k=0ckδk |
for
Both the authors are members of the 'Gruppo Nazionale per l'Analisi Matematica, la Probabilità e le loro Applicazioni' (GNAMPA) of the 'Istituto Nazionale di Alta Matematica' (INdAM) and acknowledge the support of the Project BIRD191739/19 'Sensitivity analysis of partial differential equations in the mathematical theory of electromagnetism' of the University of Padova. P.M. acknowledges the support of the grant 'Challenges in Asymptotic and Shape Analysis - CASA' of the Ca' Foscari University of Venice. The authors wish to thank the anonymous referees for many valuable comments that have improved the presentation of the paper.
[1] |
S. Ghosh, J. Heffernan, Influenza Pandemic Waves under Various Mitigation Strategies with 2009 H1N1 as a Case Study, PLoS One, 5 (2010), e14307. http://dx.doi.org/10.1371/journal.pone.0014307 doi: 10.1371/journal.pone.0014307
![]() |
[2] | A. R. Tuite, D. N. Fisman, A. L. Greer, Mathematical modelling of COVID-19 transmission and mitigation strategies in the population of Ontario, Canada, Cmaj, 192 (2020), E497–E505. |
[3] |
B. M. Althouse, S. V. Scarpino, L. A. Meyers, J. W. Ayers, M. Bargsten, J. Baumbach, et al., Enhancing disease surveillance with novel data streams: challenges and opportunities, EPJ Data Sci., 4 (2015), 1–8. http://dx.doi.org/10.1140/epjds/s13688-015-0054-0 doi: 10.1140/epjds/s13688-015-0054-0
![]() |
[4] | M. Roser, H. Ritchie, E. Ortiz-Ospina, J. Hasell, Coronavirus Pandemic (COVID-19), Our World in Data, 2020. Available from: https://ourworldindata.org/covid-cases |
[5] |
T. Oraby, O. Vasilyeva, D. Krewski, F. Lutscher, Modeling seasonal behavior changes and disease transmission with application to chronic wasting disease, J. Theor. Biol., 340 (2014), 50–59. http://dx.doi.org/10.1016/j.jtbi.2013.09.003 doi: 10.1016/j.jtbi.2013.09.003
![]() |
[6] |
A. Mummert, H. Weiss, L.-P. Long, J. M. Amigo, X.-F. Wan, A Perspective on Multiple Waves of Influenza Pandemics, PLoS One, 8 (2013), e60343. http://dx.doi.org/10.1371/journal.pone.0060343 doi: 10.1371/journal.pone.0060343
![]() |
[7] |
N. C. Grassly, C. Fraser, Seasonal infectious disease epidemiology, P. Roy. Soc. B - Biol. Sci., 273 (2006), 2541–2550. http://dx.doi.org/10.1098/rspb.2006.3604 doi: 10.1098/rspb.2006.3604
![]() |
[8] |
W. P. London, J. A. Yorke, Recurrent outbreaks of measles, chickenpox, and mumps.1. Seasonal-variation in contact rates, Am. J. Epidemiol., 98 (1973), 453–468. http://dx.doi.org/10.1093/oxfordjournals.aje.a121575 doi: 10.1093/oxfordjournals.aje.a121575
![]() |
[9] |
D. Glabska, D. Skolmowska, D. Guzek, Population-based study of the influence of the COVID-19 pandemic on hand hygiene behaviors - Polish adolescents' COVID-19 experience (PLACE-19) study, Sustainability, 12 (2020), 4930. https://doi.org/10.3390/su12124930 doi: 10.3390/su12124930
![]() |
[10] | C. O'Connor, J. O. Weatherall, The misinformation age: How false beliefs spread, Yale University Press, 2019. https://doi.org/10.2307/j.ctv8jp0hk |
[11] |
E. Dubois, G. Blank, The echo chamber is overstated: the moderating effect of political interest and diverse media, Inf., commun. soc., 21 (2018), 729–745. https://doi.org/10.1080/1369118X.2018.1428656 doi: 10.1080/1369118X.2018.1428656
![]() |
[12] |
D. M. Kahan, A risky science communication environment for vaccines, Science, 342 (2013), 53–54. https://doi.org/10.1126/science.1245724 doi: 10.1126/science.1245724
![]() |
[13] |
B. Baumgaertner, B. J. Ridenhour, F. Justwan, J. E. Carlisle, C. R. Miller, Risk of disease and willingness to vaccinate in the United States: A population-based survey, PLoS med., 17 (2020), e1003354. https://doi.org/10.1371/journal.pmed.1003354 doi: 10.1371/journal.pmed.1003354
![]() |
[14] |
I. C.-H. Fung, S. Cairncross, How often do you wash your hands? A review of studies of hand-washing practices in the community during and after the SARS outbreak in 2003, Int. J. Environ. Heal. R., 17 (2007), 161–183. https://doi.org/10.1080/09603120701254276 doi: 10.1080/09603120701254276
![]() |
[15] |
S. Jamshidi, M. Baniasad, D. Niyogi, Global to USA country scale analysis of weather, urban density, mobility, homestay, and mask use on COVID-19, Int. J. Env. Res. Pub. Heal., 17 (2020), 7847. http://dx.doi.org/10.3390/ijerph17217847 doi: 10.3390/ijerph17217847
![]() |
[16] |
A. Matakos, E. Terzi, P. Tsaparas, Measuring and moderating opinion polarization in social networks, Data Min. Knowl. Disc., 31 (2017), 1480–1505. https://doi.org/10.1007/s10618-017-0527-9 doi: 10.1007/s10618-017-0527-9
![]() |
[17] |
J.-M. Esteban, D. Ray, On the mesaurement of polarization, econometrica, 62 (1994), 819–851. https://doi.org/10.2307/2951734 doi: 10.2307/2951734
![]() |
[18] | P. Manfredi, A. d'Onofrio, Modeling the Interplay Between Human Behavior and the Spread of Infectious Diseases, Springer, New York, 2017. http://dx.doi.org/10.1007/978-1-4614-5474-8 |
[19] |
N. Perra, D. Balcan, B. Gonçalves, A. Vespignani, Towards a characterization of behavior-disease models, PloS one, 6 (2011), e23084. https://doi.org/10.1371/journal.pone.0023084 doi: 10.1371/journal.pone.0023084
![]() |
[20] |
L. Mao, Predicting self-initiated preventive behavior against epidemics with an agent-based relative agreement model, J. Artif. Soc. Social S., 18 (2015), 6. https://doi.org/10.18564/jasss.2892 doi: 10.18564/jasss.2892
![]() |
[21] |
A. Mummert, H. Weiss, Get the news out loudly and quickly: the influence of the media on limiting emerging infectious disease outbreaks, PloS one, 8 (2013), e71692. https://doi.org/10.1371/journal.pone.0071692 doi: 10.1371/journal.pone.0071692
![]() |
[22] |
P. Poletti, B. Caprile, M. Ajelli, A. Pugliese, S. Merler, Spontaneous behavioural changes in response to epidemics, J. Theor. Biol., 260 (2009), 31–40. https://doi.org/10.1016/j.jtbi.2009.04.029 doi: 10.1016/j.jtbi.2009.04.029
![]() |
[23] |
P. Poletti, M. Ajelli, S. Merler, Risk perception and effectiveness of uncoordinated behavioral responses in an emerging epidemic, Math. Biosci., 238 (2012), 80–89. https://doi.org/10.1016/j.mbs.2012.04.003 doi: 10.1016/j.mbs.2012.04.003
![]() |
[24] |
S. Maharaj, A. Kleczkowski, Controlling epidemic spread by social distancing: Do it well or not at all, BMC Public Health, 12 (2012), 1–16. https://doi.org/10.1186/1471-2458-12-679 doi: 10.1186/1471-2458-12-679
![]() |
[25] | M. Martcheva, An Introduction to Mathematical Epidemiology, Vol. 61, Springer, 2015. https://doi.org/10.1007/978-1-4899-7612-3 |
[26] |
S. C. Anderson, A. M. Edwards, M. Yerlanov, N. Mulberry, J. E. Stockdale, S. A. Iyaniwura, et al., Estimating the impact of COVID-19 control measures using a Bayesian model of physical distancing, medRxiv, 2020. https://doi.org/10.1101/2020.04.17.20070086 doi: 10.1101/2020.04.17.20070086
![]() |
[27] |
N. M. Ferguson, D. Laydon, G. Nedjati-Gilani, N. Imai, K. Ainslie, M. Baguelin, et al., Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand, Imperial College London, (2020). https://doi.org/10.25561/77482 doi: 10.25561/77482
![]() |
[28] |
L. G. Nardin, C. R. Miller, B. J. Ridenhour, S. M. Krone, P. Joyce, B. O. Baumgaertner, Planning horizon affects prophylactic decision-making and epidemic dynamics, PeerJ, 4 (2016), e2678. https://doi.org/10.7717/peerj.2678 doi: 10.7717/peerj.2678
![]() |
[29] |
D. Weston, K. Hauck, R. Amlôt, Infection prevention behaviour and infectious disease modelling: a review of the literature and recommendations for the future, BMC Public Health, 18 (2018), 336–351. https://doi.org/10.1186/s12889-018-5223-1 doi: 10.1186/s12889-018-5223-1
![]() |
[30] |
R. C. Tyson, S. D. Hamilton, A. S. Lo, B. O. Baumgaertner, S. M. Krone, The Timing and Nature of Behavioural Responses Affect the Course of an Epidemic, B. Math. Biol., 82 (2020), 1–28. https://doi.org/10.1007/s11538-019-00684-z doi: 10.1007/s11538-019-00684-z
![]() |
[31] |
A. K. Misra, R. K. Rai, Y. Takeuchi, Modeling the control of infectious diseases: Effects of TV and social media advertisements, Math. Biosci. Eng., 15 (2018), 1315–1343. https://doi.org/10.3934/mbe.2018061 doi: 10.3934/mbe.2018061
![]() |
[32] | MATLAB, 9.8.0.1323502 (R2020a), The MathWorks Inc., Natick, Massachusetts, 2020. |
[33] |
M. J. Keeling, L. Danon, Mathematical modelling of infectious diseases, Brit. Med. Bull., 92 (2009), 33–42. https://doi.org/10.1093/bmb/ldp038 doi: 10.1093/bmb/ldp038
![]() |
[34] |
A. Huppert, G. Katriel, Mathematical modelling and prediction in infectious disease epidemiology, Clin. Microbiol. Infec., 19 (2013), 999–1005. https://doi.org/10.1111/1469-0691.12308 doi: 10.1111/1469-0691.12308
![]() |
[35] |
M. W. Fong, H. Gao, J. Y. Wong, J. Xiao, E. Y. C. Shiu, S. Ryu, et al., Nonpharmaceutical Measures for Pandemic Influenza in Nonhealthcare Settings—Social Distancing Measures, Emerg. Infect. Dis., 26 (2020), 976–984. https://doi.org/10.3201/eid2605.190995 doi: 10.3201/eid2605.190995
![]() |
[36] |
A. E. Aiello, R. M. Coulborn, V. Perez, E. L. Larson, Effect of Hand Hygiene on Infectious Disease Risk in the Community Setting: A Meta-Analysis, Am. J. Public Health, 98 (2008), 1372–1381. https://doi.org/10.2105/ajph.2007.124610 doi: 10.2105/ajph.2007.124610
![]() |
[37] |
T. Jefferson, R. Foxlee, C. Del Mar, L. Dooley, E. Ferroni, B. Hewak, et al., Physical interventions to interrupt or reduce the spread of respiratory viruses: systematic review, BMJ, 336 (2007), 77–80. https://doi.org/10.1136/bmj.39393.510347.be doi: 10.1136/bmj.39393.510347.be
![]() |
[38] | F. Chen, A. Griffith, A. Cottrell, Y.-L. Wong, Behavioral Responses to Epidemics in an Online Experiment: Using Virtual Diseases to Study Human Behavior, PLoS ONE, 8 (2013), e52814. https://doi.org/10.1371/journal.pone.0052814 |
[39] | YouGov, Personal measures taken to avoid COVID-19, 2020. Available from: https://today.yougov.com/topics/international/articles-reports/2020/03/17/personal-measures-taken-avoid-covid-19 |
[40] | AP-NORC, Coronavirus Concerns on the Rise Again Amid Spike in New Cases, 2020. Available from: https://apnorc.org/projects/coronavirus-concerns-on-the-rise-again-amid-spike-in-new-cases/?doing_wp_cron=1598305841.2085039615631103515625 |
1. | Wojciech Nawalaniec, Katarzyna Necka, Vladimir Mityushev, Effective Conductivity of Densely Packed Disks and Energy of Graphs, 2020, 8, 2227-7390, 2161, 10.3390/math8122161 | |
2. | Matteo Dalla Riva, Paolo Luzzini, Paolo Musolino, Multi-parameter analysis of the obstacle scattering problem, 2022, 38, 0266-5611, 055004, 10.1088/1361-6420/ac5eea | |
3. | Matteo Dalla Riva, Massimo Lanza de Cristoforis, Paolo Musolino, 2021, Chapter 13, 978-3-030-76258-2, 513, 10.1007/978-3-030-76259-9_13 | |
4. | Matteo Dalla Riva, Riccardo Molinarolo, Paolo Musolino, Existence results for a nonlinear nonautonomous transmission problem via domain perturbation, 2022, 152, 0308-2105, 1451, 10.1017/prm.2021.60 | |
5. | Yu. V. Obnosov, Analytical Evaluation of the Effective Electric Resistivity and Hall Coefficient in the Rectangular and Triangular Checkerboard Composites, 2022, 43, 1995-0802, 2989, 10.1134/S1995080222130352 | |
6. | Vladimir Mityushev, Dmytro Nosov, Ryszard Wojnar, 2022, 9780323905435, 63, 10.1016/B978-0-32-390543-5.00008-6 | |
7. | Matteo Dalla Riva, Paolo Luzzini, Paolo Musolino, Roman Pukhtaievych, 2022, 9780323905435, 271, 10.1016/B978-0-32-390543-5.00019-0 | |
8. | Matteo Dalla Riva, Paolo Luzzini, Paolo Musolino, Shape analyticity and singular perturbations for layer potential operators, 2022, 56, 2822-7840, 1889, 10.1051/m2an/2022057 | |
9. | Natalia Rylko, Pawel Kurtyka, Olesia Afanasieva, Simon Gluzman, Ewa Olejnik, Anna Wojcik, Wojciech Maziarz, Windows Washing method of multiscale analysis of the in-situ nano-composites, 2022, 176, 00207225, 103699, 10.1016/j.ijengsci.2022.103699 | |
10. | Matteo Dalla Riva, Paolo Luzzini, Paolo Musolino, 2023, Chapter 20, 978-3-031-36374-0, 271, 10.1007/978-3-031-36375-7_20 | |
11. | Riccardo Molinarolo, Existence result for a nonlinear mixed boundary value problem for the heat equation, 2025, 543, 0022247X, 128878, 10.1016/j.jmaa.2024.128878 | |
12. | Natalia Rylko, Michał Stawiarz, Pawel Kurtyka, Vladimir Mityushev, Study of anisotropy in polydispersed 2D micro and nano-composites by Elbow and K-Means clustering methods, 2024, 276, 13596454, 120116, 10.1016/j.actamat.2024.120116 |