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On nonlinear evolution equation of second order in Banach spaces

  • Kamal N. Soltanov EMAIL logo
Published/Copyright: March 31, 2018

Abstract

Here we study the existence of a solution and also the behavior of the existing solution of the abstract nonlinear differential equation of second order that, in particular, is the nonlinear hyperbolic equation with nonlinear main parts, and in the special case, is the equation of the type of equation of traffic flow.

MSC 2010: 46T20; 47J35; 35L65; 58J45

1 Introduction

In this article we study the following nonlinear evolution equation

xtt+AFx=gx,A12xt,t0,T,0<T<(1)

[1] under the initial conditions

x0=x0,xt0=x1,(2)

where A is a linear operator in a real Hilbert space H, F : XX and g : D(g) ⊆ H × HH are a nonlinear operators, X is a real Banach space. For example, operator A denotes −Δ with Dirichlet boundary conditions and F(u) = |u|ρu (see, Example in Section 2), that in the one space dimension case, we can formulate in the form

uttfuuxx=gu,t,xR+×0,l,l>0,(3)
u0,x=u0x,ut0,x=u1x,ut,0=ut,l=0,(4)

where u0 (x), u1 (x) are known functions, f(·), g(·) : RR are continouos functions and l > 0 is a number. The equation of type (3) describes a mathematical model of the problem from the theory of the flow in networks as is affirmed in articles [1,2,3,4] (e. g. Aw-Rascle equations, Antman–Cosserat model, etc.). As it is noted in the survey [2], such a study can find application in accelerating missiles and space crafts, components of high-speed machinery, manipulator arm, microelectronic mechanical structures, components of bridges and other structural elements. Balance laws are hyperbolic partial differential equations that are commonly used to express the fundamental dynamics of open conservative systems (e.g. [3]). As the survey [2] presents sufficiently exact explanations of the significance of equations of such type, we not discuss this theme.

We would like to note only the following physical interpretation (see, [5]): “Let V be the smooth elastic body and F be the force acting on V through ∂V with the mass density is unit. Newton’s law asserts the mass times the acceleration equal the net force

Vuttdx=VFνdSutt=divF

where u is the displacement in some direction of the point x at time t ≥ 0 and F is a function of the displacement gradient u; whence

utt+divFu=0.

As it is well-known, F is a nonlinear function but for the study of this equation one usually uses a local linear approximation of F. Unlike the above mentioned works, one can study some variant of this equation with the nonlinear function F by use of the general result of this article.

In this article we use different approach to study proposed problem that allows us to investigate the case when the main part of the problem actually contains the nonlinear operator. As is shown in the above mentioned examples, one can investigate the nonlinear hyperbolic equations with the use of the results of this article, which haven’t been studied earlier. We will note that in this approach we used the Galerkin approximation method.

This article is organized as follows. In Section 2, we study the solvability of the nonlinear equation of second order in the Banach spaces, for which we found the sufficient conditions and proved the existence theorem. In Section 3, we investigate the global behavior of solutions of the posed problem.

2 Solvability of problem (1)–(2)

Let A be a symmetric linear operator densely defined in a real Hilbert space H and positive, A has a self-adjoint extension. Moreover, there is linear operator B defined in H such that ABB, here f : RR is continuous as function, X is a real reflexive Banach space and XH, g : D(g) ⊆ H × HH, where g : R2R is a continuous as function and x : [0, T) ⟶ X is an unknown function. Let F(r) as a function be defined as F(r) = r0fsds. Let the inequation ‖xH ≤ ‖BxH be valid for any xD(B). We denote by V, W and by Y the spaces defined as V ≡ {yH| ByH}, W = {xH| AxH} and as Y ≡ {xX| AxX}, respectively, for which inclusions WVH are compact and YW.

Let H be the real separable Hilbert space, X be the reflexive Banach space and XHX; V is the previously defined space. It is clear that WVHVW are framed spaces by H, these inclusions are compact and XV. Then one can define the framed spaces YVHVY; then XVY are compact, with use the property of the operator A. Assume that operator A : VBVB and A : XY. Consequently, we get AF : XY and AFA : YY. Moreover, we assume that [X, Y]12V.

Since operator A is invertible, here one can set the function y(t) = A−1x(t) for any t ∈ (0, T), in other words one can assume the denotation x(t) = Ay(t).

We will interpret the solution of the problem (1) - (2) in the following manner.

Definition 2.1

A functionx : (0, T) ⟶ X, xC0(0, T; X) ∩ C1(0, T; V) ∩ C2(0, T; Y), x = Ay, is called a weak solution of problem (1) - (2) ifxa. e. t ∈ (0, T) satisfies the following equation

d2dt2x,z+AFx,z=gx,Byt,z(5)

for anyzYand the initial conditions (2) (here and further the expression 〈·, ·〉 denotes the dual form for the pair: the Banach space and its dual).

Consider the following conditions

  1. Let A : WHH be the selfadjoint and positive operator, moreover, A : VV, A : XY, there exists a linear operator B : VH that satisfies the equation Ax ≡ (BB) x for any xD(A) and |x|H ≤ |Bx|H = |x|V.

  2. Let F : XX be the continuously differentiable and monotone operator with the potential Φ that is the functional defined on X (its Frechet derivative is the operator F). Moreover, for any xX the following inequalities hold

    FxXa0xXp1+a1xH;Fx,xb0xXp+b1xH2,

    where a0, b0 > 0, a1, b1 ≥ 0, p > 2 are numbers.

  3. Assume g : H × VH is a continuous operator that satisfies the condition

    gx,ygx1,y1,zg1xx1,z+g2yy1,z,

    for any (x, y), (x1, y1) ∈ H × H, zH and consequently for any (x, y) ∈ H × H the inequation

    gx,yHg1xH+g2yH+g0,g0g0,0H

    holds, where g0 is a number.

Theorem 2.2

Let spaces H, V, W, X, Ythat are defined above satisfy all above mentioned conditions and conditions (i)-(iii) are fulfilled, then problem (1) - (2) is solvable in the space C0(0, T; X) ∩ C1(0, T; V) ∩ C2(0, T; Y) for anyx0V ∩ [X, Y] 12andx1Hin the sense of Definition 2.1.

At the beginning for the investigation of the posed problem we set the following expression in order to obtain of the a priori estimations

xtt,yt+AFx,yt=gx,Byt,yt,

where element y is defined as the solution of the equation Ay(t) = x(t), i.e. y(t) = A−1x(t) for any t ∈ (0, T) as was already mentioned above.

Hence follow

Bytt,Byt+Fx,xt=gx,Byt,yt,

or

12ddtBytH2+ddtΦx=gx,Byt,yt,(6)

where Φ (x) is the functional defined as Φx=10Fsx,xds (see, [6]).

Then using condition (iii) on g(x, Byt) in (6) one can obtain

12ddtBytH2+ddtΦxgx,BytH2+ytH22g12xH2+g22BytH2+g02+ytH2C~xH2+12BytH2+g02,

where one can use the estimation xH2c~Φx+1(ifb1>0thenxH2c~Φx) as 2 < p by virtue of the condition (ii). Consequently, we get to the Cauchy problem for the inequation

ddt12BytH2t+ΦxtC012BytH2t+Φxt+C1(7)

with the initial conditions

xtt=0=x0;yttt=0=A1xtt=0=A1x1,(8)

where Cj ≥ 0 are constants independent of x(t). From here follows

12BytH2t+ΦxtetC0By122+2Φx0+C1C0etC01.

This gives the following estimations for every T ∈ (0, ∞)

BytH2tCx0,x1eC0T,ΦxtCx0,x1eC0T,(9)

for a. e. t ∈ (0, T), i.e. y = A−1x is contained in the bounded subset of the space yC1(0, T; V) ∩ C0(0, T; Y), consequently, we obtain that if the weak solution x(t) exists then it belongs to a bounded subset of the space C0(0, T; X) ∩ C1(0, T; V).

Hence one can see, that the following inclusion

yC20,T;XHC10,T;XVC00,T;Y

holds by virtue of (5) in the assumption that x = Ay is a solution of the posed problem in the sense of Definition 2.1.

Proof of Theorem 2.2

In order to prove of the solvability theorem we will use the Faedo-Galerkin approach. Let the system ykk=1Y be total in Y such that it is complete in the spaces Y, V, and also in the spaces X, H. We will seek out of the approximative solutions ym(t), and consequently xm(t), in the form

xmtAymt=k=1mcitAyk or xmtspany1,...,ym

as the solutions of the considered problem, where ci(t) are the unknown functions that will be defined as solutions of the following Cauchy problem for system of ODE

d2dt2xm,yj+Fxm,Ayj=gxm,Bymt,yj,j=1,2,...,mxm0=x0m,xtm0=x1m,

where x0m and x1m are contained in span{y1,…, ym}, m = 1, 2, …, moreover,

x0mx0in X,Y12V;x1mx1in X,m.

Thus we obtain the following problem

d2dt2xm,yj+Fxm,Ayj=gxm,Bymt,yj,j=1,2,...,mxmt,yjt=0=x0m,yj,ddtxmt,yjt=0=x1m,yj(10)

that is solvable by virtue of estimates (9) on (0, T) for any m = 1,2,…, j = 1,2,… and T > 0. Hence we set

d2dt2xm,z+Fxm,Az=gxm,Bymt,z(11)

for any zY and m = 1,2,….

Consequently, with use of the known procedure ([7, 8, 9]) we obtain, ymtC0 (0, T; V), ymC0 (0, T; Y) and xmC0 (0, T; X), xmtC0 (0, T; V), moreover, they are contained in the bounded subset of these spaces for any m = 1, 2,…. Hence from (9) we get

xmttC00,T;YorxmC20,T;Y,(VY).

Thus we obtain, that the sequence xmm=1 of the approximated solutions of the problem is contained in a bounded subset of the space

C00,T;XC10,T;VC20,T;Y

or xmm=1 such that for a. e. t ∈ (0, T) the following inclusions take place ymtm=1YXH, ymttm=1V,ymtttm=1X. So we have

ymtm=1C00,T;YC10,T;VC20,T;X.

Therefore, ymtm=1 possess a precompact subsequence in C10,T;X,Y12 and in C1 (0, T; V), as X,Y12V by virtue of conditions on X and A (by virtue of well known results, see, e. g. [10, 11] etc.). From here follows ym (t) ⟶ y(t) in C1 (0, T; V) for m ↗ ∞ (Here and hereafter in order to abate the number of index we don’t change the indexes of subsequences). Then the sequence FAymtm=1X and bounded for a. e. t ∈ (0, T); the sequence

gxmt,xmttm=1gAymt,Bymttm=1H

and bounded for a. e. t ∈ (0, T) also, by virtue of the condition (iii). Indeed, for any m the estimation

gAym,BymtHtAymtH+BymttH+g0,0H

holds and, therefore, gAymt,Bymttm=1 is contained in a bounded subset of H for a. e. t ∈ (0, T). Consequently, FAymm=1andgAymt,Bymttm=1 have weakly converging subsequences to η(t) and θ (t) in X and H, respectively, for a. e. t ∈ (0, T). Hence one can pass to the limit in (11) with respect tom↗ ∞. Then we obtain the following equation

d2dt2x,z+Aηt,z=θt,z.(12)

It remained to show the following: if the sequence xmtm=1Aymtm=1 is weakly converging to x (t) = Ay (t) then η (t) = F (x (t)) and θ (t) = g (x (t), Byt (t)). In order to show these equations are fulfilled we will use the monotonicity of F and the condition (iii).

We start by showing θ (t) = g ((t), Byt (t)) as xXH and ytV, BytH therefore g (x, Byt) is defined for a. e. t ∈ (0, T). Consequently, one can consider of the expression

gAymt,BymttgAyt,Bytt,y^

for any Ŷ ∈ C0 (0, T; Y) ∩ C1 (0, T; V). So we set this expression and investigate this for any Ŷ ∈ C0 (0, T; Y) ∩ C1 (0, T; V); then we have

gAymt,BymttgAyt,Bytt,y^
g1AymtAyt,y^t+g2BymttBytt,y^t(13)

that takes place by virtue of the condition (iii). Using here the weak convergences of Aym (t) ⇀ Ay (t) and Bymt (t) ⟶ Byt (t) and by passing to the limit in the inequation (13) with respect to m : m ↗ ∞ we get

θtgAyt,Bytt,y^0

for any Ŷ ∈ C0 (0, T; H). Consequently, the equation θ (t) = g ((t), Byt (t)) holds, then the following equation is valid

d2dt2x,z+Aηt,z=gxt,Bytt,z

for any zY, as ykk=1 is complete in Y that display fulfilling of equation

Aηt=gxt,Byttd2xdt2(14)

in the sense of Y.

In order to show the equation η (t) = F (x(t)) one can use the monotonicity of F. So the following inequation holds

AFAzAFAy,zy=FAzFAy,AzAy=Fx~Fx,x~x0

for any y, zY, Ay = x and Az = x̃ by condition (i). Then one can write

0FxmFx~,xmx~=FAymFAz,AymAz=

take account here the equation (9)

FAym,Aymd2dt2xmgxm,Bymt,zFAz,AymAz=Fxm,xmd2dt2xmgxm,Bymt,zFx~,xmx~.(15)

Here one can use the well-known inequation

limsupFxm,xmη,x=η,Ay=Aη,y.

Then passing to the limit in (15) with respect to m : m ↗ ∞ we obtain

0Aη,yd2dt2xgx,Byt,zFx~,xx~=Aη,yAη,zFx~,AyAz=AηAFx~,yz

by virtue of (14).

Consequently, we obtain that the equation (t) = AF (x) holds since z is arbitrary element of Y.

Now it remains to show that the obtained function x(t) = Ay(t) satisfies the initial conditions. Consider the following equation

ymt,Aymt=t0d2ds2Aym,ymds+t0ddsBym,ddsBymds+y1m,Ay0m=t0d2ds2ym,Aymds+t0ddsBymH2ds+y1m,Ay0m

for m = 1, 2,…, here xm(t) = Aym(t). Hence we get: the left side is bounded as far as all added items in the right side are bounded by virtue of the obtained estimations. Therefore, one can pass to limit with respect to m as here ymt is continous with respect to t for any m; then ymt strongly converges to yt and Aym weakly converges to Ay in H. It must be noted the equation

limm0tddsBymH2dxds=t0ddsByH2ds

holds by virtue of the above reasonings that ymtm=1 is a precompact subset in C1 (0, T; V). Consequently, the left side converges to the expression of such type, i.e. to 〈yt, Ay〉 (t). The obtained results show that the following convergences are just: xm (t) = Aym (t) ⇀ Ay (t) = x (t) in X, xmt (t) = AymtAyt = xt (t) in V. From here follows, that the initial conditions are fulfilled in the sense of X and V, respectively.

Thus the existence theorem is fully proved.  □

Remark 2.3

This theorem shows that there exists a flow S (t) defined in V × X and the solution of the problem(1) - (2)can be represented as x (t) = S (t) ∘ (x0, x1).

Example 2.4

LetΩRn(n ≥ 3) be a bounded domain with sufficiently smooth boundary ∂Ω. Consider onQ = (0, T) × Ω of the following problem

uttup2u=au+bΩutt,yxyn1dy,p>2,u0,x=u0x,ut0,x=u1x,uΩ×0,T=0,

where a (τ) satisfies the Lipschitz condition, bR.

It is clear that all conditions of Theorem 2.2 are fulfilled for this problem under above conditions of this example.

We would like to note the equation with main part of such type hasn’t been studied earlier.

3 Behavior of solutions of problem (1)–(2)

Here we consider a problem under the following complementary conditions:

(iv) Let g (x, Byt) = 0 and xHptc0Φxt for some c0 > 0.

We set a function E(t) = BwH2(t) and consider this function on the solution of problem (1) - (2), then for E(t) = ByH2(t) we have

Et=2Byt,ByByt22t+By22t,(16)

where y = A−1x. Here we will use equation (9). For this we need the following equation

12BysH2s+Φxs0t=0

as g (x, Byt) = 0.[2] Hence

12BysH2t+Φxt=12By1H2t+Φx0

and

BytH2t=2Φxt+By1H2+2Φx0.

Granting this by (16) we get

EtEtErt+By1H2+2Φx0

by virtue of the condition Φxc0xXp and of the continuity of embedding XH, r = p/2.

So denoted by z (t) = E (t) we have the Cauchy problem for differential inequality

z´tztczrt+Cx0,x1,z0=By0H2,(17)

that we will investigate. Inequation (17) can be rewritten in the form

zt+kCx0,x1´zt+kCx0,x1δzt+kCx0,x1r,

where k > 1 is a number and δ = δ (c, C, k, r) > 0 is sufficiently small number. Then solving this problem we get

zt+kCx0,x1e1rtz0+kCx0,x11r+δ1e1rt11r

or

Ete1rtBy0H2+kCx0,x11r+δ1e1rt11rkCx0,x1ByH2(t)etBy0H2+kCx0,x11+δBy0H2+kCx0,x1r1er1t11r1kCx0,x1.(18)

Here the right side is greater than zero, because δk1krCr and 2r = p > 2.

Thus the result is proved.

Theorem 3.1

Under conditions (i), (ii), (iv) the function y(t), defined by the solution of problem (5)-(6), for any t > 0 is contained in ballBlXV (0) ⊂ XV depending on the initial values (x0, x1) ∈ (XV) × H, herel = l (x0, x1, p) > 0.

4 Conclusion

In this article, the existence of a very weak solution for differential-operator equations of second order with nonlinear operator in the main part is proved. We would like to note that, in particular, if A is the differential operator this equation becomes a hyperbolic equation. Consequently, one can investigate previously not studied nonlinear hyperbolic equations with the use of results and the approach presented in this article. The following work will be focused on nonlinear hyperbolic equations with the nonlinearity of the same type as studied here.

Moreover, here the long-time behavior of the very weak solution of the problem is proved, and also the dependence of the behavior of the solution from initial datums is shown. In other words, here we show the behavior of the weak semi-flow (in some sense), defined by the considered problem, with respect to t when t → +∞.

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Received: 2017-06-06
Accepted: 2018-02-09
Published Online: 2018-03-31

© 2018 Soltanov, published by De Gruyter

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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  86. Two asymptotic expansions for gamma function developed by Windschitl’s formula
  87. State maps on semihoops
  88. 𝓜𝓝-convergence and lim-inf𝓜-convergence in partially ordered sets
  89. Stability and convergence of a local discontinuous Galerkin finite element method for the general Lax equation
  90. New topology in residuated lattices
  91. Optimality and duality in set-valued optimization utilizing limit sets
  92. An improved Schwarz Lemma at the boundary
  93. Initial layer problem of the Boussinesq system for Rayleigh-Bénard convection with infinite Prandtl number limit
  94. Toeplitz matrices whose elements are coefficients of Bazilevič functions
  95. Epi-mild normality
  96. Nonlinear elastic beam problems with the parameter near resonance
  97. Orlicz difference bodies
  98. The Picard group of Brauer-Severi varieties
  99. Galoisian and qualitative approaches to linear Polyanin-Zaitsev vector fields
  100. Weak group inverse
  101. Infinite growth of solutions of second order complex differential equation
  102. Semi-Hurewicz-Type properties in ditopological texture spaces
  103. Chaos and bifurcation in the controlled chaotic system
  104. Translatability and translatable semigroups
  105. Sharp bounds for partition dimension of generalized Möbius ladders
  106. Uniqueness theorems for L-functions in the extended Selberg class
  107. An effective algorithm for globally solving quadratic programs using parametric linearization technique
  108. Bounds of Strong EMT Strength for certain Subdivision of Star and Bistar
  109. On categorical aspects of S -quantales
  110. On the algebraicity of coefficients of half-integral weight mock modular forms
  111. Dunkl analogue of Szász-mirakjan operators of blending type
  112. Majorization, “useful” Csiszár divergence and “useful” Zipf-Mandelbrot law
  113. Global stability of a distributed delayed viral model with general incidence rate
  114. Analyzing a generalized pest-natural enemy model with nonlinear impulsive control
  115. Boundary value problems of a discrete generalized beam equation via variational methods
  116. Common fixed point theorem of six self-mappings in Menger spaces using (CLRST) property
  117. Periodic and subharmonic solutions for a 2nth-order p-Laplacian difference equation containing both advances and retardations
  118. Spectrum of free-form Sudoku graphs
  119. Regularity of fuzzy convergence spaces
  120. The well-posedness of solution to a compressible non-Newtonian fluid with self-gravitational potential
  121. On further refinements for Young inequalities
  122. Pretty good state transfer on 1-sum of star graphs
  123. On a conjecture about generalized Q-recurrence
  124. Univariate approximating schemes and their non-tensor product generalization
  125. Multi-term fractional differential equations with nonlocal boundary conditions
  126. Homoclinic and heteroclinic solutions to a hepatitis C evolution model
  127. Regularity of one-sided multilinear fractional maximal functions
  128. Galois connections between sets of paths and closure operators in simple graphs
  129. KGSA: A Gravitational Search Algorithm for Multimodal Optimization based on K-Means Niching Technique and a Novel Elitism Strategy
  130. θ-type Calderón-Zygmund Operators and Commutators in Variable Exponents Herz space
  131. An integral that counts the zeros of a function
  132. On rough sets induced by fuzzy relations approach in semigroups
  133. Computational uncertainty quantification for random non-autonomous second order linear differential equations via adapted gPC: a comparative case study with random Fröbenius method and Monte Carlo simulation
  134. The fourth order strongly noncanonical operators
  135. Topical Issue on Cyber-security Mathematics
  136. Review of Cryptographic Schemes applied to Remote Electronic Voting systems: remaining challenges and the upcoming post-quantum paradigm
  137. Linearity in decimation-based generators: an improved cryptanalysis on the shrinking generator
  138. On dynamic network security: A random decentering algorithm on graphs
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