Mixed problem for a linear differential equation of parabolic type with nonlinear impulsive conditions Текст научной статьи по специальности «Математика»

NANOSYSTEMS: Yuldashev T.K., et al. Nanosystems:

PHYSICS, CHEMISTRY, MATHEMATICS Phys. Chem. Math., 2024,15 (2), 160-169.

http://nanojournal.ifmo.ru

Original article DOI 10.17586/2220-8054-2024-15-2-160-169

Mixed problem for a linear differential equation of parabolic type with nonlinear impulsive conditions

Tursun K. Yuldashev1", Aziz K. Fayziyev1'6 1Tashkent State University of Economics, Tashkent, Uzbekistan °t.yuldashev@tsue.uz, bfayziyev.a@inbox.ru Corresponding author: T. K. Yuldashev, t.yuldashev@tsue.uz

Abstract In this paper, we consider a linear parabolic type partial differential equation in the space of generalized functions as the equation of neutron diffusion in the presence of neutron absorption by the atomic nucleus with nonlinear impulsive effects. Spectral equation is obtained from the Dirichlet boundary value conditions and this spectral problem is studied. The Fourier method of variables separation is used. Countable system of nonlinear functional integral equations is obtained with respect to the Fourier coefficients of unknown function. Theorem on a unique solvability of the countable system of functional integral equations is proved. The method of successive approximations is used in combination with the method of contracting mapping. Criteria of uniqueness and existence of generalized solution of the impulsive mixed problem is obtained. Solution of the mixed problem is derived in the form of the Fourier series. It is shown that the Fourier series converges uniformly.

Keywords Mixed problem, impulsive parabolic equation, nonlinear impulsive conditions, involution, unique solvability

For citation Yuldashev T.K., Fayziyev A.K. Mixed problem for a linear differential equation of parabolic type with nonlinear impulsive conditions. Nanosystems: Phys. Chem. Math., 2024,15 (2), 160-169.

1. Formulation of the problem statement

Differential equations of mathematical physics have direct applications in the theory of nanosystems (see, for example, [1-13], and [14]). Partial differential and integro-differential equations of parabolic type with initial and boundary conditions are investigated widely by large number of scientists and have different applications in sciences and technology (see, for example, [15-28]). Note that the differential equations of parabolic type are associated with heat and diffusion processes. Neutron diffusion plays a significant role in the operation of nuclear reactors. The diffusion equation makes it possible to calculate the neutron density inside the core of a nuclear reactor, the neutron flux from the moderator surface, and the reflection and transmission of neutrons by biological protection structures.

Differential and integro-differential equations with impulse effects have applications in sciences, ecology, biotechnology, industrial robotics, pharmacokinetics, optimal control, etc. [29-38]. A lot of publications are devoted to study differential equations with impulsive effects, describing many natural and technical processes (see, for example, [39-50]). The questions of existence and uniqueness of periodic solutions of differential and integro-differential equations were studied in [51-55]. In [56-58], the Whitham type partial differential equations of the first order with impulsive effects are studied.

To date, the impulsive systems for ordinary differential and integro-differential equations have been well studied. As for the partial differential equations of mathematical physics, the authors are not aware of any work where the differential equations of mathematical physics with impulsive influences were studied. It is necessary to solve problems associated with the use of the Fourier series, the integration of impulsive countable systems in different subdomains and the definition of the class of solutions. So, in the present paper, we study the solvability of the impulsive mixed problem for a linear differential equation with involution and nonlinear impulsive conditions in the space of generalized functions.

In the domain

tt = {t e (0, T), t = tm, 0 <tm <T, m = 1, 2, ...,p, x e (-1,1)}, we consider the following differential equation of neutron diffusion in the presence of neutron absorption by the atomic nucleus

Ut(t, x) - Uxx(t, x) - £ Uxx(t, -x) = a(t)U(t, x) + f (t, x) (1)

with the Dirichlet boundary value conditions

U(t,-1) = U(t, 1) = 0, 0 < t < T; (2)

and initial value condition

U(0, x) = y>(x), -1 < x < 1, (3)

© Yuldashev T.K., Fayziyev A.K., 2024

where T is given positive number, unknown function U(t, x) characterizes the neutron density with the impulsive effects, e is the diffusion coefficient, 0 < e < 1, a(t) e C [0; T] is the function characterizing the lifetime of a neutron in a medium before absorption, the function f (t, x) e L2 characterizes the rate of the neutron production, ^>(x) is given function on the segment [-1,1]. We assume that for the initial value function y>(x) e L2[-1,1] the following conditions are fulfilled y(-1) = y(1) = 0. We also suppose that f (t, -1) = f (t, 1) = 0.

Since the equation (1) is impulsive and the unknown function U(t, x) has some discontinuity points ti, t2,..., tp on the interval (0, T), in integration processes, we need to know the difference between the right and the left side limit values of unknown function at these discontinuity points. However, in practice, it is often impossible to determine these differences explicitly. So, we use them in the form of nonlinear functions. Therefore, we consider equation (1) with the following impulsive conditions

U (t+,x) - U (tm,x) = Im (x,/ G(y)U (tm,y)dyj , m = 1, 2,...,p, (4)

i

where Im(x, •) are continuous functions on x, / | G(x) | dx < 0 < ti < ... < tp < T < U^ =

-i

lim U (tm + Z, x), U (tm, x) = lim U (tm - Z, x) are the right-hand side and the left-hand side limits of function

U(t, x) at the points t = tm, respectively.

2. Formal solution of the mixed problem

First, consider the homogeneous partial differential equation

Ut(t, x) - Uxx (t, x) - e Uxx(t, -x) = 0 (5)

with boundary value conditions of the Dirichlet type

U(t, -1) = U(t, 1) = 0, 0 < t < T. (6)

Problem (5), (6) will be solved by the method of separation of variables: U(t, x) = u(t) $(x). After separation of variables, from (5), (6), we arrive at the following spectral problem for an ordinary differential equation

■'(x) + etf"(-x) + A$(x) = 0 (7)

with boundary value conditions

■ (-1) = 0, tf(1) = 0. (8) It is obvious that for the case of even eigenfunctions, equation (7) takes the form

(1+ e)0i'(x)+ Ai^i(x) = 0. (9)

Solving differential equation (9) with conditions (8), we find the eigenvalues

Ai,n = (1+ e) n2 (n + 0.5)2 (10)

and eigenfunctions of problem (7), (8):

^i,n(x)=cosn(n + 0.5)x, n e N. (11)

In the case of odd eigenfunctions, equation (7) takes another form

(1 - e)$2'(x) + A 2^2 (x) = 0. (12)

Solving differential equation (12) with spectral (zero) conditions (8), we find the eigenvalues and the corresponding eigenfunctions of problem (12), (8):

A2,n = (1 - e) n2n2, 0 < e < 1, (13)

$2,n(x) = sinnnx, n e N. (14)

Note that the eigenfunctions ■d j,„(x) (i = 1, 2) determined by (11) and (14) form a complete system of orthonormal eigenfunctions in the space L 2 [-1,1]. Therefore, we seek desired solutions to the nonhomogeneous partial differential equation (1) in the forms U(t, x) = Ui (t, x) + U2 (t, x) of the Fourier series

Ui(t,x) = 53 Ui,n(t) ■i,n(x), i = 1, 2, (15)

=i

where Ui (t, x) and U2 (t, x) satisfy the given differential equation (1)

Uit(t, x) - Uixx(t, x) - e Uixx(t, -x) = a(t)Uj(t, x) + fj(t, x),

1

i,n(t) = J Ui(t,x) $i,n(x) dx, i = 1, 2.

x) $i,n(x) dx, i = 1, 2. (16)

-1

We also suppose that the function f (t, x) = f1(t, x) + f2(t, x) e L2(tt) expands to the Fourier series in eigenfunctions

$ i,n (x):

w

fi(t,x) = ^ fi,„(t) $i,„(x), i = 1, 2, (17)

n=1

where

1

fi,n(t) = y fi(t,x) $ i,„(x) dx, i = 1, 2. (18)

-1

By using the Fourier series (15), from the impulsive conditions (4), we obtain

w w

u i,n(t+)$ i,n(x) - ^ u i,n(tm )$ i,n(x) = ^ Im,i,n$ i,n(x), m = 1, 2, ...,p,

n=1 n=1 n=1

where

1 / 1 w

we derive that

Im,i,n = Im,i x, / G(y)^ Ui,j (tm) $ (y)dy $ ¿,n(x) dx, i = 1, 2. (19)

-1 V -1 j=1 /

Hence, due to the orthonormality of the eigenfunctions,

{1, n = j, 0, n = j,

ui,n(t+) - ui,n(tm) = /m,i,n, m = 1, 2,...,p. (20)

Substituting the Fourier series (15) into the given differential equation (1), we obtain a countable system of the first order ordinary differential equations

u'i,n(t) + Ai,n uijn(t) = a(t) uijn(t) + fi,n(t), (21)

where A i n are eigenvalues determined by (10) and (13). We rewrite the countable system of the first order ordinary differential equations (21) as

(eAi.niuij„(t))' = eA[a(t) u,,n(t) + fi,„(t)], i = 1, 2. (22)

By integration of the last equation (22) on the intervals: (0, t1], (t1, t2], .. ., (tp, tp+1], we obtain:

ti ti J eA[a(s) uijn(s) + fiin(s)] ds = J (eAi'nSuij„(s))' ds 0 0

~At- ui>n(t-) - eA-n0+ uiin(0+) = eAi-ntiui,n(t1) - ui>n(0), i = 1, 2, t e (0,t1]:

= e 1 u,

t2

J eA[a(s) uijn(s) + fi,„(s)] ds = J (eAi'nSuij„(s))' ds = ti ti eAui>n(t-) - eAi-nt+ ui>n(t+) = eAt2u^) - eA-ntiui>n(t+), t e (t1, t2] ,

tp+i tp+i

J eA[a(s) uijn(s) + fi,n(s)] ds = J (eAi'nSuij„(s))' ds = tp tp

= eAi-nt-+iuijn(t-+1) - eAi-nt+ uiin(t+) = eAi-ntp+iui>n(t) - eA-ntpuiin(t+), t e (tp, tp+i].

Here we took into account that uijn(0+) = uijn(0), uijn(t-+1) = uijn(t). So, taking the impulsive conditions (20) into account, on the interval (0, T], we have

t

J eA[a(s) uijn(s) + fi,n(s)] ds =

0

= eAi-ntiui,n(t 1) - uiin(0) + eAt2uiin(t2) - eAi-ntiuijn(t+) + eA^uiin(ts) - eAi-nt2uijn(t+) +

+ ... + eA'•"tp+iui>n(t) - eA-ntpuiin(t+) =

w

= (0) - eAi-ntl [ui,n(i+) - UiM] - eA^ [ui,„(t+) - uiin(t2)] -

- ... - eA|Ui,„(tp ) - u

[ui,n(i+) - Ui,„(tp^ + eAi'ntuij„(t)

-Ui,n(0) - ^

,--,A i,ntm

Im,i,n + e ' ui,n(t).

0<tm<t

Hence, we obtain that

,„(t) = ui,n(0) + f eAs [a(s) uiin(s) + /¿,„(s)] ds + ^ eAi-tm/mjij

0<tm<t

or

,„(t) = ui,„(0)e-A-t + i e-Ai.n(t-s) [a(s) «¿.„(s) + /¿,„(s)] ds + ]T e-A

0<tm<t

(23)

For given function ^(x) in (3), we set y(x) = ^i(x) + <£>2(x). Now, supposing that the functions yi(x) and ^2(x) are expanded in the Fourier series and using the Fourier coefficients (16), from condition (3), we obtain

i i u¿,„(0) = J Ui(0, x) â¿,„(x) dx = J ^j(x) â¿,„(x) dx = i = 1, 2.

-1 -1

(24)

To find the unknown coefficients ui n(0) in the presentations (23), we use the initial value conditions (24). Then we have

ui,„(t) = ¥>i,„e Ai,nt + I e Ai,n(t s) [a(s) u^^-r^,«

i e-Ai-n(t-s) [a(s) ui,„(s)+ /¿,„(s)] ds + ]T e-Ai-n(t-tm)/m,i,„. (25)

0<tm<t

We note that representations (25) are the Fourier coefficients of the solution to problem (1)-(4) and have been considered as a countable system of nonlinear functional and integral equations. Taking into account (18) and (19), we rewrite it as

t

ui,„(t) = A(t; ui,„) = ^¿,„e-Ai,nt + J e-Ai-n(t-s)a(s)ui,„(s)ds+

t 1 + J e-Ai-n(t-s) J /¿(s,x) â¿,„(x) dxds+

+ ^ e-Ai,n(t-tm)i /m,i | x,i G(y) ^ ui,j(tm) â¿,j(y)dy | â¿,„(x) dx.

0<tm<t -1 y -1 j = 1 y

(26)

The representation (26) is countable system of functional equations. Substituting representation (26) into the Fourier series (15), we obtain a formal solution of the problem (1)-(4) on the domain Q

Ui(t,x) = Y, âi,„(x)

t

^i,„e Ai,nt + J e 0

A i,„(t —s)

a(s) uj,„(s)ds+

+e 0

t 1

-A i,n ( t s ) f

/¿(s, x) â¿,n(x) dxds+

-1

1

+ ^ e A i-n(t tm) /" /m,J x,f G(y)^ ui,j (tm) â ij (y)dy I â ¿,„(x) dx

0<tm<t -, \ -, j=1 /

t

u

1

1

3. Solvability of the countable system of nonlinear functional equations

Let us investigate the countable system of nonlinear functional equations (26) from the point of view of its unique solvability. Consider the following well-known Banach spaces, which will be used below: the space B 2[0, T] of function sequences { u n(t) }W=1 on the segment [0, T] with the norm

I U(t)

B 2[0,T]

\

œ ( \ 2

max | un(t) M < œ;

n=ive [0-T J

the Hilbert coordinate space l2 of number sequences {^ n}n=1 with the norm

\

y I 2

1 ^ «12 < œ;

n—1

the space L 2 [-1,1] of square-integrable functions on the interval [-1,1] with the norm

II $ (x) II L 2[-1,1]

the space

\

j | û (x) |2 dx < œ;

-1

PCb2 ([0,T];R) = ju„ :[0,T] ^ R; u(t) G №[tm, W1];R), m = 0,1,...,p}

with the norm

II IIpCb2 [0,T] = II U(t) IIB2 [tm,tm+1 ] ' m = 0 1 2 ' where w„ (i+) and w„ (tm) (m = 0,1, ...,p) exist and are bounded; w„ (tm) = w„ (tm).

Theorem 1. Let the estimate | | < œ be valid for the Fourier coefficients of the function y>(x) G [—1,1].

j=i

If the following conditions are fulfilled:

max max

dx < M0ji = const < œ,

G(y)£ u0,j (t) û(y)dy

-i j=1

if ~ \ i } ~ \

Im,i x, / G(y)^ uTj (tm ) û (y)dy - /m,j x, / G(y) ^ uTj 1(tm) û (y)dy

J G(y) ^ I uT,j (tm) - uT- 1(tm) I ûi,j (y) dy

<

< Nm,j(x)

0 < Nm,i(x) G L2[-1,1],

(28)

-1 j=1

Pi = C • M2,i [M4 II Ni(x) |l2[-1,1] II G(x) |l2[-1,1] + MMM5] < 1, i = 1, 2, where C, M1,i, M4, M5, M2ji are some constants, then the countable system of nonlinear functional equations (26) is uniquely solvable in the space PCB2 [0, T]. In this case, the desired solution can be found by the following iterative process:

t 1

=-Ai.n(t-s) / f,(s,x) $in(x) dxds,

(29)

>(t) =

—A i.ni

+7e

0 —1

.T +1

(t)= A(t; uTj , i = 1, 2, T = 0,1, 2,...

Proof. We use the method of contracting maps in combination with the method of successive approximations in the space PCB2 [0, T]. We take into account that

t

f e-Ai-(t-s)ds < [1 - e-Ai-t] < ^Mi,i.

A i

Then, by virtue of conditions of the theorem and applying the Cauchy-Schwartz inequality and the Bessel inequality, we obtain from the approximations (29) that the following estimate is valid:

lu 0(t)

T] < max / ^ max 1 u 0 n (t) 1 < max y^ | ^ j n |

PCB2 [0 ,T] tG[tm , tm + l]

n—1

max i e

m—1, p , n—1

tG [tm,tm + i]

{e—A +

2

1

1

i . n

+C max ^ sup

m=i,P n=i t£(tm,tm+i]

t i ' =-A i,„(t-s) i

e

fi(s, x) ■ j,n(x) dxds

0

-i

<

< I ^ j,n I + C • Mi,j ma^y^ A— max

n=i

m=i,p

i,pn=i A j,n t^[tm,tm+1]

< 531 ^ j,n I + c • Mi,,

n=i

A2

max max

fj (t, x) ■ j,n(x) dx

-i

<

n=i

A2 n m=i,p t^[tm ,tm+1]'1

E

n=i

fi(t,x) ■ j,n (x) dx

-i

<

W

< E I ^i,n | + c • Mi,iM2,jM3,j = < TO, i =1,2,

n=i

(30)

where

M2,

WW 1

E-T", M3,j = max max || f,(t,x) ||L[-i,i] , 0 <C = const,

n=i Ai,n m=i,p t£[tm,tm + 1] '

A i,n = (1 + e) n2(n + 0.5)2, A2,n = (1 - e) n2n2, | e | < 1. Taking into account estimate (30), applying the Cauchy-Schwartz inequality and the Bessel inequality, for the first difference of approximations (29), we obtain:

w

1ui(t) -u0(t) ||PCr [0T] < maxE rmax , |ui,n(t) -<n(t) | <

11 11 PCB2 [0,T ] m=i,^^te[tm .tm+lT ' '

n=1

< C max ^3 sup

m=i,p n=i t£(tm,tm+i]

£ e-A-(t-tm) / Im J x, f G(y) £ u0,j(tm)^i,j (y)dy) ■j,n(x)d

0<tm<t -i \ -i j=i /

+

+C max sup

m=i,pn=i t£(tm,tm+l]

e Ai,n(t s)a(s)u°n[ s)ds

w 1 p 1

< C max A— sup 53

m=i,pn=i A ¿,nte(tm,tm+l] m=i

t - tm

(sK,n(sK

J Im,i ( x, J G(y)^ u0,j (t) ■ (y)dyl ■ j,n (x) dx

j=i

+

+C • Mi, max max | a(t) | - max | u0n(t) 1 <

'---1 " tdt t .,] A ¿,nte[tm,tm+l] '

m=i,p t^[tm,tm + 1]

< c • M4„

53 a2 .

E

n=1

2=i Ai,n m=i,pte[tm,tm + 1] \

+C • Mi,jM5

f Im,A x, / G(y)^ Mj (t)$(y)dy I ■i,n(x) dx

-i V -i j=i )

+

w1

E 1 u0(t) Ipcb2 [0,T] -

n=i i,n

<

< C • M4M2ji max

m=i,p

Im,i (x,-i G(y) £ ■ (y)dy

+ C • Mi,iM2,iM5^i,j <

L2[-i,i]

< C • M2,i [M4M0, + Mi.jM^i.j] < TO,

(31)

M4 = sup V -, M5 = max max | a(t) |.

4 r , ^t - t-- 5--7-ptdt t ,]' Wl

t£(tm,tm+1]

+ 1] m=i

i,p t^[tm,tm+1]

Continuing this process, similarly to the estimate (31), we obtain

u T +i(t) - u T (t) |PCb [0T] < maxE rmax , 1 u T,n(t) - MiTni(t) 1 < B2 L J J m=i,p tG[tm,tm+1]

^ n=i

< C max

m=i,p

sup e

n=i 0<tm<t t£(tm,tm+1]

e-A.,n(t-tm) f Nm,j(x)x

w

i

w

w

2

i

w

w

w

w

w

2

w

i

1 d

I [uTj (tm) - uT- $i,j (y)dy

-1 j=1

$dx

+

+C max ^^ sup

m=1.P n=1 t£(tm,tm+i]

t

| e-A-(t-s) a(s) luT,.(t) - uT- 1(t) |ds

<

< C ■ M4 -— Nm,i(x)$i,„(x)dx^ max ^Tj(t) - uT-1 (t) G(y)$i,j(y)dy

m=1,p _.. — i,n 7 t£[tmitm+1] ' ' J

n=1 —1 j = 1 —1

D 1

+C ■ M1i max max | a(t) | -- max 1 ujj (t) - u]~- 1(t) 1 <

'--1P tC[t t 1]' Wl — i ,nt£[tm , tm+ir

+

= 1 tG[tm , tm + l]

n=1

where

< C ■ M4M2,i || Ni(x) ||l2[-M] II uT(t) - uT-1(t) ||POb2[0,T] II G(x) ||l2[-1,1] + +C ■ M1,iM5M2,i || uT(t) - uT-1(t) |pCB2[o t] < Pi || uT(t) - <-1(t) ||pCB2 [o t], (32)

Pi = C ■ M2,i [M4 || Ni(x) ||l2[-1,1] II G(x) ||L2[-1,1] + M^],

11 Ni(x) 11 L2 [-1,1] = 11 Nm,i (x) y L2[-1,1] , « = 1 2.

According to (28), P' < 1. Consequently, it follows from estimate (32) that the operator on the right-hand side of countable system of nonlinear functional equations (26) is contracting. It follows from estimates (30)-(32) that there is the unique fixed point, which is a solution to the countable system of functional equations (26) in space PCB2 [0, T]. Theorem 1 is proved. □

4. Uniform convergence of the Fourier series

Theorem 2. Let the conditions of the Theorem 1 be fulfilled. Then the unknown function U(t, x) = U1 (t, x) + U2(t, x) of the mixed impulsive problem (1)-(4) is determined by the Fourier series (27). The series (27) are convergent on the domain Q.

Proof. Let ui(t) e PCB2 [0, T] be the unique solution of the countable system (26). As in the case of estimates (30) and (31), we obtain

| Ui(t,x) | <^| $i,„(x) |

+E

n=1

t 1 ' e-Ai,„(t-s) f

Vi,n I e-Ai,nt+

e

/i(s, x) $ i,n(x) dxds

0

1

+

+ ^^ max

n=1 t^[tm,tm + 1]

E <

0<tm<t

-A i,„(t-tm)

+C sup

n=1 tE(tm,tm + 1]

J Im,i |x, J G(y) j=1 Mi,j(tm) $i,j(y)dyj $i,„(x) dx (s) Mi,n(s) ds

+

e Ai,n(t s)a( s) Mi,„v

< El V i,n I + M1,i

n=1

\

n=1 i,n

+M4.

^ -1

max max

1 —i,n m=1,p t^[tm!tm + 1]

+C ■ M1,iM5

max max y fi(t,x) yL2[-1,1]

—i,n m=1,p tfc[tm,tm+1] ( 1 ~

Im,i x, / G(y)^ Mi,j(t) $i,j (y)dy

+

j=1

+

L2 [ 1,1]

E —~ 11 ui(t) yPCB2 [0,T] <

(33)

Due to the estimate (33) one obtains the absolute and uniform convergence of the series (27). Theorem 2 is proved. □

x

DO

1

1

DO

DO

1

D

5. Conclusion

Neutron diffusion plays a significant role in the operation of nuclear reactors. The diffusion equation makes it possible to calculate the neutron density inside the core of a nuclear reactor, the neutron flux from the moderator surface, and the reflection and transmission of neutrons by biological protection structures.

In the domain Q — {t e (0,T), t — tm, 0 < tm < T, m — 1,2, x e (-1,1)}, we consider a parabolic type linear differential equation (1) of neutron diffusion in the presence of neutron absorption by the atomic nucleus with nonlinear impulsive effects and involution. The Dirichlet boundary value conditions, initial value condition and nonlinear impulsive conditions are used in solving the mixed problem.

The countable system of nonlinear functional equations (26) is obtained. Theorem 1 on unique solvability of countable system of nonlinear functional integral equations (26) is proved. The Picar iteration process is constructed. The generalized solution of the mixed problem (1)-(4) is obtained in the form of the Fourier series (27). The uniform convergence of the Fourier series (27) is proved (Theorem 2). Note that the Fourier series (27) characterizes the neutron density function with the first kind discontinuities. The results of this work will make it possible to determine the neutron density inside the core of a nuclear reactor and its change in the presence of a moderator and reflectors.

Moreover, the results obtained in this work will allow us to investigate direct and inverse problems for other kinds of partial differential equations of mathematical physics with impulsive actions. Differential equations with impulsive effects often allow one to reveal common features of phenomena in different branches of science. In [29], impulsive differential equations are used for solving boundary value problems on time scales. In [30], impulsive differential equations are used in studying pulse mass measles vaccination across age cohorts. In [38], impulsive differential equations are used in studying biological problems. Parabolic type differential equations as the heat equations or as the diffusion equations have different applications. In [14], the problem of fast forward evolution of the processes described in terms of the heat equation is considered. The matter is considered on an adiabatically expanding time-dependent box. Attention is paid to acceleration of heat transfer processes. As the physical implementation, the heat transport in harmonic crystals is considered.

References

[1] Blinova I.V., Grishanov E.N., Popov A.I., Popov I.Y., Smolkina M.O. On spin flip for electron scattering by several delta-potentials for 1D Hamiltonian with spin-orbit interaction. Nanosystems: Phys. Chem. Math., 2023, 14(4), P. 413-417.

[2] Deka H., Sarma J. A numerical investigation of modified Burgers' equation in dusty plasmas with non-thermal ions and trapped electrons. Nanosystems: Phys. Chem. Math., 2023, 14(1), P. 5-12.

[3] Dweik J., Farhat H., Younis J. The Space Charge Model. A new analytical approximation solution of Poisson-Boltzmann equation: the extended homogeneous approximation. Nanosystems: Phys. Chem. Math., 2023,14(4), P. 428-437.

[4] FedorovE.G., Popov I.Yu. Analysis of the limiting behavior of a biological neurons system with delay. J. Phys.: Conf. Ser., 2021, 2086, P. 012109.

[5] Fedorov E.G., Popov I.Yu. Hopf bifurcations in a network of Fitzhigh-Nagumo biological neurons. International Journ. Nonlinear Sciences and Numerical Simulation, 2021.

[6] Fedorov E.G. Properties of an oriented ring of neurons with the FitzHugh-Nagumo model. Nanosystems: Phys. Chem. Math., 2021, 12(5), P. 553562.

[7] Irgashev B.Yu. Boundary value problem for a degenerate equation with a Riemann-Liouville operator. Nanosystems: Phys. Chem. Math., 2023, 14(5), P. 511-517.

[8] Kuljanov U.N. On the spectrum of the two-particle Schrödinger operator with point potential: one dimensional case. Nanosystems: Phys. Chem. Math., 2023,14(5), P. 505-510.

[9] Parkash C, Parke W.C., Singh P. Exact irregular solutions to radial Schrödinger equation for the case of hydrogen-like atoms. Nanosystems: Phys. Chem. Math., 2023,14(1), P. 28-43.

[10] Popov I.Y. A model of charged particle on the flat Möbius strip in a magnetic field. Nanosystems: Phys. Chem. Math., 2023, 14(4), P. 418-420.

[11] Sibatov R.T., Svetukhin V.V. Subdiffusion kinetics of nanoprecipitate growth and destruction in solid solutions. Theor. Math. Phys., 2015, 183, P. 846-859.

[12] Vatutin A.D., Miroshnichenko G.P., Trifanov A.I. Master equation for correlators of normalordered field mode operators. Nanosystems: Phys. Chem. Math., 2022,13(6), P. 628-631.

[13] Uchaikin V.V., Sibatov R.T. Fractional kinetics in solids: Anomalous charge transport in semiconductors, dielectrics and nanosystems. CRC Press, Boca Raton, FL, 2013.

[14] Matrasulov J., Yusupov J.R., Saidov A.A. Fast forward evolution in heat equation: Tunable heat transport in adiabatic regime. Nanosystems: Phys. Chem. Math., 2023,14(4), P. 421-427.

[15] Galaktionov V.A., Mitidieri E., Pohozaev S. Global sign-changing solutions of a higher order semilinear heat equation in the subcritical Fujita range. Advanced Nonlinear Studies, 2012,12(3), P. 569-596.

[16] Galaktionov V.A., Mitidieri E., Pohozaev S.I. Classification of global and blow-up sign-changing solutions of a semilinear heat equation in the subcritical Fujita range: second-order diffusion. Advanced Nonlinear Studies, 2014, 14(1), P. 1-29.

[17] Denk R., Kaip M. Application to parabolic differential equations. In: General Parabolic Mixed Order Systems in Lp and Applications. Operator Theory: Advances and Applications, 239. Birkhauser, Cham., 2013.

[18] Van Dorsselaer H., Lubich C. Inertial manifolds of parabolic differential equations under high-order discretizations. Journ. of Numer. Analysis, 1099,19(3), P. 455-471.

[19] Ivanchov N.I. Boundary value problems for a parabolic equation with integral conditions. Differen. Equat., 2004, 40(4), P. 591-609.

[20] Mulla M., Gaweash A., Bakur H. Numerical solution of parabolic in partial differential equations (PDEs) in one and two space variable. Journ. Applied Math. and Phys., 2022, 10(2), P. 311-321.

[21] Nguyen H., Reynen J. A space-time least-square finite element scheme for advection-diffusion equations. Computer Methods in Applied Mech. andEngin., 1984, 42(3), P. 331-342.

[22] Pinkas G. Reasoning, nonmonotonicity and learning in connectionist networks that capture propositional knowledge. Artificial Intelligence, 1995, 77(2), P. 203-247.

[23] Pohozaev S.I. On the dependence of the critical exponent of the nonlinear heat equation on the initial function. Differ. Equat., 2011, 47(7), P. 955962.

[24] Pokhozhaev S.I. Critical nonlinearities in partial differential equations. Russ. J. Math. Phys., 2013, 20 (4), P. 476-491.

[25] Yuldashev T.K. Mixed value problem for a nonlinear differential equation of fourth order with small parameter on the parabolic operator. Comput. Math. Math. Phys., 2011, 51 (9), P. 1596-1604.

[26] Yuldashev T.K. Mixed value problem for nonlinear integro-differential equation with parabolic operator of higher power. Comput. Math. Math. Phys., 2012, 52(1), P. 105-116.

[27] Yuldashev T.K. Nonlinear optimal control of thermal processes in a nonlinear Inverse problem. Lobachevskii Journ. Math., 2020, 41(1), P. 124-136.

[28] Zonga Y., Heb Q., Tartakovsky A.M. Physics-informed neural network method for parabolic differential equations with sharply perturbed initial conditions. arXiv:2208.08635[math.NA], 2022, P. 1-50.

[29] Agarwal R.P., O'Regan D., Triple solutions to boundary value problems on time scales. Applied Mathematics Letters, 2000,13(4), P. 7-11.

[30] Agur Z., Cojocaru L., Mazaur G., Anderson R.M., Danon Y.L. Pulse mass measles vaccination across age cohorts. Proceedings of the National Academy of Sciences of the USA, 1993, 90, P. 11698-11702.

[31] Benchohra M., Henderson J., Ntouyas S.K. Impulsive differential equations and inclusions. Contemporary mathematics and its application. Hin-dawi Publishing Corporation, New York, 2006.

[32] Catlla J., Schaeffer D.G., Witelski Th.P., Monson E.E., Lin A.L. On spiking models for synaptic activity and impulsive differential equations. SIAM Review, 2008, 50(3), P. 553-569.

[33] Halanay A., Veksler D. Qualitative theory of impulsive systems. Mir, Moscow, 1971, 309 p. (in Russian).

[34] Lakshmikantham V., Bainov D.D., Simeonov P.S. Theory of impulsive differential equations. World Scientific, Singapore, 1989, 434 p.

[35] Milman V.D., Myshkis A.D. On the stability of motion in the presence of impulses. Sibirskiy Matemat. Zhurnal, 1960,1(2), P. 233-237.

[36] Perestyk N.A., Plotnikov V.A., Samoilenko A.M., Skripnik N.V. Differential equations with impulse effect: multivalued right-hand sides with discontinuities. DeGruyter Stud. 40, Math. Walter de Gruter Co., Berlin, 2011.

[37] Samoilenko A.M., Perestyk N.A. Impulsive differential equations. World Sci., Singapore, 1995.

[38] Stamova I., Stamov G. Impulsive biological models. In: Applied impulsive mathematical models. CMS Books in Mathematics. Springer, Cham., 2016.

[39] Anguraj A., Arjunan M.M. Existence and uniqueness of mild and classical solutions of impulsive evolution equations. Elect. J. of Differen. Equat., 2005, 2005(111), P. 1-8.

[40] Antunes D., Hespanha J., Silvestre C. Stability of networked control systems with asynchronous renewal links: An impulsive systems approach. Automatica, 2013, 49(2), P. 402-413.

[41] Bai Ch., Yang D. Existence of solutions for second-order nonlinear impulsive differential equations with periodic boundary value conditions. Boundary Value Problems (Hindawi Publishing Corporation), 2007, 2007(41589), P. 1-13.

[42] Bin L., Xinzhi L., Xiaoxin L. Robust global exponential stability of uncertain impulsive systems. Acta Mathematica Scientia, 2005, 25(1), P. 161169.

[43] Benchohra M., Salimani B.A. Existence and uniqueness of solutions to impulsive fractional differential equations. Elect. Journ. Differen. Equat., 2009, 2009(10), P. 1-11.

[44] Chen J., Tisdell Ch.C., Yuan R. On the solvability of periodic boundary value problems with impulse. J. of Math. Anal. and Appl., 2007, 331, P. 902-912.

[45] Fecken M., Zhong Y., Wang J. On the concept and existence of solutions for impulsive fractional differential equations. Communications in Non-Linear Science and numerical Simulation, 2012, 17(7), P. 3050-3060.

[46] Mardanov M.J., Sharifov Ya.A., Habib M.H. Existence and uniqueness of solutions for first-order nonlinear differential equations with two-point and integral boundary conditions. Electr. J. of Differen. Equat., 2014, 2014(259), P. 1-8.

[47] Yuldashev T.K., Fayziev A.K. On a nonlinear impulsive system of integro-differential equations with degenerate kernel and maxima. Nanosystems: Phys. Chem. Math., 2022, 13(1), P. 36-44.

[48] Yuldashev T.K., Fayziev A.K. Integral condition with nonlinear kernel for an impulsive system of differential equations with maxima and redefinition vector. Lobachevskii Journ. Math., 2022, 43(8), P. 2332-2340.

[49] Yuldashev T.K., Fayziyev A.K. Inverse problem for a second order impulsive system of integro-differential equations with two redefinition vectors and mixed maxima. Nanosystems: Phys. Chem. Math., 2023, 14(1), P. 13-21.

[50] Gao Z., Yang L., Liu G. Existence and uniqueness of solutions to impulsive fractional integro-differential equations with nonlocal conditions. Applied Mathematics, 2013, 4(6), P. 859-863.

[51] Cooke C.H., Kroll J. The existence of periodic solutions to certain impulsive differential equations. Computers and Mathematics with Applications, 2002, 44(5-6), P. 667-676.

[52] Li X., Bohner M., Wang C.-K. Impulsive differential equations: Periodic solutions and applications. Automatica, 2015, 52, P. 173-178.

[53] Yuldashev T.K. Periodic solutions for an impulsive system of nonlinear differential equations with maxima. Nanosystems: Phys. Chem. Math., 2022,13(2), P. 135-141.

[54] Yuldashev T.K. Periodic solutions for an impulsive system of integro-differential equations with maxima. Vestnik Sam. Gos. Universiteta. Seria: Fiz.-Mat. Nauki, 2022, 26(2), P. 368-379.

[55] Yuldashev T.K., Sulaimonov F.U. Periodic solutions of second order impulsive system for an integro-differential equations with maxima. Lobachevskii Journ. Math., 2022, 43(12), P. 3674-3685.

[56] Fayziyev A.K., Abdullozhonova A.N., Yuldashev T.K. Inverse problem for Whitham type multi-dimensional differential equation with impulse effects. Lobachevskii Journ. Math., 2023, 44(2), P. 570-579.

[57] Yuldashev T.K., Fayziyev A.K. Determination of the coefficient function in a Whitham type nonlinear differential equation with impulse effects. Nanosystems: Phys. Chem. Math., 2023,14(3), P. 312-320.

[58] Yuldashev T.K., Ergashev T.G., Fayziyev A.K. Coefficient inverse problem for Whitham type two-dimensional differential equation with impulse effects. Chelyab. Fiz-Mat. Zhurn., 2023, 8(2), P. 238-248.

Submitted 19 December 2023; revised 13 January 2024, 17 January 2024; accepted 2 February 2024

Information about the authors:

Tursun K. Yuldashev - Tashkent State University of Economics, Karimov street, 49, TSUE, Tashkent, 100066, Uzbekistan; ORCID 0000-0002-9346-5362; t.yuldashev@tsue.uz

AzizK. Fayziyev - Tashkent State University of Economics, Karimov street, 49, TSUE, Tashkent, 100066, Uzbekistan; ORCID 0000-0001-6798-3265; fayziyev.a@inbox.ru

Conflict of interest: the authors declare no conflict of interest.