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About Bellman Principle and Solution Properties for Navier–Stokes Equations in the 3D Cauchy Problem

Written By

Vladimir I. Semenov

Submitted: 14 May 2024 Reviewed: 18 May 2024 Published: 09 July 2024

DOI: 10.5772/intechopen.1005758

Vortex Dynamics - Theoretical, Experimental and Numerical Approaches IntechOpen
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Vortex Dynamics - Theoretical, Experimental and Numerical Approaches [Working Title]

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Abstract

Without belittling the achievements of many mathematicians in the studying of the Navier-Stokes equations, the real ways opened J. Leray and O.A. Ladyzhenskaya. The main goal of this work is to compare the smoothness property of a weak solution in the Cauchy problem after some moment if it is known solution regularity until this moment with the optimality property in the Bellman principle. Naturally, all these are connected with the existence problem of blow up solution in the Cauchy problem for Navier-Stokes equations in space attracting a lot of attention up to now. The smoothness control and controlling parameters can be varied. It is important to control the dissipation of kinetic energy to the fix moment or rate of change of kinetic energy square or the summability of velocity gradient to the fixed point in time and so on. There are possible other control parameters due to a weak solution.

Keywords

  • Navier-Stokes equations
  • blow up solution
  • regular solution
  • turbulent flow
  • dissipation of kinetic energy

1. Introduction

The well-known principle of dynamic programming (Bellman principle) postulates that whatever the state of the system at any step and the control at this step selected, subsequent controls should be selected optimal relative to the state to which the system will arrive at the end of this step. We would like to get something similar for the smoothness properties of a weak solution in the Cauchy problem for the Navier-Stokes equations in space, i.e., we would like to find out the conditions under which the existing regularity of the solution in a short time interval (see Refs. [1, 2]), and some important parameters (control parameters) of this solution at a certain point in time, while this smoothness is still preserved, it will be able to ensure the existence of a global smooth extension of this solution, or at least of a local smooth extension for some guaranteed longer time interval. Let us explain this. The most important characteristic of a fluid flow is kinetic energy at every point in time. If kinetic energy changing at the fixed point in time is not large, then we have no phenomenon collapse. Hence, we obtain the one from the controlling parameters. We can also control a rate of change of kinetic energy square. Here, the situation is the same. If at the initial time or the later point in time this rate of change is not large, then we have no phenomenon blow up again. Really, instead of the point time controlling, we can apply some new characteristics which are described as the mean value of some quantity over the fixed time interval. The result will be the same. This generality shows that comparison with Bellman principle is relevant.

In this way, the first steps were undertaken in Ref. [3] where numerical parameters were introduced as control parameters. Indirectly, they control the solution smoothness over a longer time interval. This point of view differs from the classical methods in studying the smoothness properties of weak solutions (see Refs. [1, 2, 4, 5, 6]) where the main tools are connected with embedding lemmas and multiplicative inequalities. In fact, embedding lemmas and multiplicative inequalities are the main tools up to now.

Here, another interesting aspect should be noted. It is related to the asymptotics of smooth solutions at infinity and integral identities for solenoid fields (see, for example, [7]). It may be a new tool for new apriori estimates.

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2. Notations

We consider a motion of an ideal incompressible fluid and the simplest problem that is Cauchy problem in space n=3 which is described by equations:

ut+i=13uiuxi=νΔuP,divu=0,u0x=φx,E1

where u=utx=u1txu2txu3tx is velocity vector. Symbols t and x=x1x2x3 are time and spatial variables, respectively. A function P=Ptx is pressure function and a vector field φx=φ1xφ2xφ3x is initial data; a constant ν is viscosity coefficient.

By symbols Δ and , we denote Laplace operator and gradient operator on spatial variables, respectively. In particular, u is Jacobi matrix on spatial variables.

Next, we apply the following notation:

φ=i=13φi2,φ=i=13φi2,utpp=R3u(tx)pdx,utpp=R3u(tx)pdx,p>1.E2

Lebesgue class LpR3 is defined as a set of vector fields in R3 with finite norm v2. In particular, and this is very important, for solutions u of problem (1), the kinetic energy at moment t is expressed by mean (energy integral) ut22 (see Refs. [1, 6]).

In addition, we suppose that initial data φ, as vector field φC6/5,3/2R3, that is, φ is infinitely differentiable mapping. It belongs to Lebesgue class L6/5R3, and the first partial derivatives φL3/2R3 and the rest derivatives belong to class LrR3 for any r>1 (class C6/5,3/2R3, its properties, and usefulness are described in Ref. [3]). In particular, it implies the following inclusions φL2R3,φL2R3 (see Ref. [3], Lemma 32). For us, this class is interesting only because for any fixed t solution ut of Cauchy problem (1) belongs to class C6/5,3/2R3 (see Ref. [3], Theorems 2, 6).

The well-known classical results belonging to O. A. Ladyzhenskaya and J. Serrin (see Refs. [1, 2]) show an existence of time interval 0T where the solution of problem (1) is regular in zone 0T×R3. Denote by T the least upper bound of these T. If T<, then the solution of problem (1) is called a blow up solution, and the fluid flow describing of this solution is called a turbulent flow. In this case, we have the collapse phenomenon.

Now, describe the control parameters knowing the values of which we can be sure that there will be no collapse or it will not be in a guaranteed time interval. Following [3] (see formulae (68), (69), (87), and (5) from [3] respectively), we define these parameters λ,μ,ε as parameters, which control solution smoothness and a number T0 by equalities:

lφ=φ2φ2,λ=4343a12ν2lφ=81ν28lφ,λt=81ν28lut,E3

where utx is the solution of Cauchy problem (1),

μ=TT0,E4
uT022=φ221ελ2,E5
T0=944ν3φ24.E6

Here, 0T0 is that time interval (it is not necessarily optimal) where every weak solution (see definition in Refs. [1, 4, 6]) of problem (1) is regular (i.e., smooth) and it satisfies condition:

ut22φ221tT0E7

(see Lemma 39 from Ref. [3]).

If T is finite (see Ref. [3], Lemma 50, Theorems 6–7), then for these parameters, there are fulfilled inequalities: λ<1,0<ε<1 and

τ2ε=14ε+1ε2<μ<λ4.E8

From Leray’s estimates (see Ref. [8]), it follows that every blow up solution of problem (1) satisfies the condition:

0Tut24dt=+E9

for finite T. Nevertheless, this weak solution for every T<T,T>0, satisfies the inequality:

0Tut24dt<+,E10

that implies solution smoothness on set 0T×R3 (see Ref. [2].)

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3. Main results

If initial data φC6/5,3/2R3 and parameter λ1, then Cauchy problem (1) has a global regular solution (see Theorem 7 from Ref. [3]). In other words, we have no any collapse in this case. Note, from the definition of parameter λ, condition λ1 means that the rate of change of kinetic energy square at initial point t=0 is negligible. It implies the determinism from the begining. If it is not there, we introduce new parameters and tools. Therefore, the following two results are very useful to compare with formula (9). The first of them it gives the sufficient condition of determinism by another tool. Moreover, it is important to note here that we do not require finiteness of mixed norm

up,q=0Tutpqdt1/q,p3,q2,3/p+2/q1.E11

over time interval 0T, where Lebesgue norm is defined by formula (2). Every weak solution of problem (1) with finite mixed norm is smooth and unique (see Refs. [1, 2, 4, 6]).

Theorem 1. Let φC6/5,3/2R3 be initial data of problem (1). Parameter λ<1 and mean T0 are defined by formulae (3) and (6), respectively. Suppose that

1T00T0ut24dtφ24ln11λ4,E12

where u is a smooth solution of problem (1) on the time interval 0T0. Then, this solution has a global regular extension on the set 0×R3. Moreover, the following estimates are fulfilled:

uT022λ2φ221λ4,λT0>1,ut22λ2T0λ2T01uT022E13

for all t>T0, where λT0 is defined in formula (3).

Proof. For the first time, we note that there exists a number ξ0T0 satisfying inequality

uξ22λ2φ221λ4ξT0.E14

Let us suppose the opposite. Then, on interval 0T0, we have the following inequality:

ut24>λ4φ241λ4tT0.E15

Integrating it over this interval, we obtain the estimate contradicting theorem condition for the mean value.

Therefore, Eq. (14) is true. Rewriting it by the following way:

T0λ4ξ+cν3uξ24=τ1ξ,c=944,E16

we note that, for all tξ,t<T, τ1ξτ1t because function τ1 is not decreasing (see Lemma 45, formula (85) from Ref. [3]).

Therefore, if T is finite, then we obtain inequality 1λ4μ. This contradicts to inequality (8). Hence, μ=. Then, solution u of problem (1) is global and regular.

From formula (16) and monotonicity of function τ1, it follows immediately that, for all t,ξt<T, the next inequality is fulfilled:

ut22λ2φ221λ4tT0.E17

Hence, we have the first inequality of Theorem 1.

Let us prove the second estimate. Suppose the opposite. Then, λT01. In this case, for solution utx, function τ2t=ut22λ2t1 is not decreasing function (see Ref. [3], inequality (77)). Hence, for 0tT0, we obtain estimates:

ut22λ2t1uT022λ2T010.E18

Then, λt1.

Hence, for all t, 0tT0, we have the estimate:

4cν4ut22ut22E19

where constant c from Eq. (16). It is the strong inequality in some neighborhood of point t=0 because λ0=λ<1 and functions η1t=ut2,η4t=ut2 are continuous (see Lemma 36 in Ref. [3]).

Therefore, integrating Eq. (19) over interval 0T0, we extract a strong estimate:

4cν4T0<0T0ut22ut22dt=14νφ24uT024.E20

Hence,

uT024<φ241λ4.E21

Apply this inequality and inequality (17) for t=T0, then from (19), we obtain the strong estimate

4cν4<φ22φ22λ2=4cν4.E22

Contradiction. The second inequality is proved.

The third estimate follows from Theorem 10 (see Ref. [3]) if we consider ut+T0x as the Cauchy problem solution with initial data uT0x. Theorem 1 is proved.

The following statement is connected with a local extension. The model is the same as above (see Theorem 1).

Theorem 2. Let φC6/5,3/2R3 be initial data in problem (1). Parameter λ<1 and mean T0 are defined by formulae (3) and (6), respectively. Suppose that

1T00T0ut24dtφ24ln11λ2,E23

where u is a smooth solution of problem (1) on time interval 0T0. Then, this solution has a local smooth extension on set 0T0λ2×R3. In addition, it is true the following estimate:

ut22λφ221λ2tT0E24

for every moment t,T0t<T0λ2.

Proof. This theorem is proved by the same way as Theorem 1. Here, there exists a number ξ0T0 satisfying condition

uξ22λφ221λ2ξT0.E25

As in Theorem 1 above, we prove it from the opposite. The monotonicity of function τ1 from proof of this theorem implies inequality:

T0λ2ξ+cν3uξ24=τ1ξτ1t,ξ<t.E26

Hence, we have estimate (24). Theorem 2 is proved.

Remark. The number T0λ2=φ224νφ22 is interesting because it does not depend on from constants in apriori estimates for solutions. This is the first. Second, it influences on estimates for kinetic energy of turbulence flows at moment close to initial (see Ref. [9], Theorem 1).

Theorem 3. Let φC6/5,3/2R3 be initial data in problem (1). Parameter λ<1 and 2λ21. In addition, number T0 and parameter ε are defined by formulae (5) and (6), respectively. Suppose ε21. Then, a weak solution u of problem (1) is global and regular.

Proof. If solution u of problem (1) is blow up solution, then from Eq. (8) and theorem conditions, we obtain for parameter μ following inequalities: μ<λ42. Hence, and still one estimate from Eq. (8), we have inequality: 12ε+1ε<2.

Therefore, ε>21. Contradiction. Theorem 3 is proved.

Theorem 4. Let φC6/5,3/2R3 be initial data in problem (1). Parameters λ<1 and ε are defined by formulae (3) and (6), respectively. Suppose that number T0 from (5) and a weak solution u of problem (1) satisfies inequality

uT0λ422φ221τελ2,E27

where function τε) from Eq. (8). Then, solution u is global and regular.

Proof. Suppose the opposite. Then,

T<T0λ4

and

uT22φ221τελ2.E28

On the other hand, we have

uT22φ221μλ2.E29

(see Ref. [3], Lemma 49). Comparing them, we obtain the contradiction with (8). Theorem 4 is proved.

Theorems 3 and 4 describe the influence on the appearance of collapse by kinetic energy estimates. For application of them, the other facts are considered lower.

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4. Kinetic energy estimates and control of solution smoothness

Now, we consider the effect of kinetic energy estimates on the lifetime of smooth solution u in problem (1). Choose T0 from Eq. (6), t0T0 and integrate (7) over 0t. Then, we obtain

ut22φ221λ2+λ21tT0φ221λ2tT0E30

(see Lemma 41 in Ref. [3]). If mean uT022 is not close to minimum, then we have no blow up solution. This is described by the following theorem.

Theorem 5. Let φC6/5,3/2R3 be initial data in problem (1). Parameter λ<1 and mean T0 are defined by formulae (3) and (6), respectively. Suppose that

uT022φ221λ4,E31

where u is a smooth solution of problem (1) on the time interval 0T0. Then, solution u can be extended as the global and regular.

Proof. Suppose the opposite. Then, for every t0T0, it is fullfilled inequality λt<1 (see (3)) for finitite mean T (see Ref. [3], Lemma 50, Theorems 6–7). Then, we have (19)) where the inequality is strong for all t. Hence, integrating it over 0T0, we obtain (21). This contradicts the condition from Theorem 5. It is proved.

For the first time, this statement is given in Ref. [3].

The following theorem shows lifetime of smooth solution in problem (1) if the kinetic energy dissipation is increasing.

Theorem 6. Let φC6/5,3/2R3 be initial data in problem (1). Parameter λ<1 and mean T0 are defined by formulae (3) and (6), respectively. Suppose that

uT022φ221λ+λ1λ2,E32

where u is a smooth solution of problem (1) on the time interval 0T0. Then, solution u can be extended a local and regular on set [0,T0)λ2×R3.

Proof. We introduce a function

ωt=ut22φ221λ+λ1λ2tT0.E33

Since function ω is smooth and ω0=0,ωT00, then there exists a number ξ0T0 satisfying condition ω'ξ0. Hence, it follows inequality (25), which implies (26). From monotonicity of function τ1 in formula (26), we get the main statement. Theorem 6 is proved.

Finally, for illustration, we show some facts due to blow up solutions and kinetic energy (other aspects connecting with estimates of norm utp,p3, are covered in Refs. [4, 5, 8]).

Theorem 7. Let φC6/5,3/2R3 be initial data. Suppose parameter λ<1 and u is blow up solution of problem (1). If there exists a number t0 from interval 0τ2εT0 with condition

ut022=φ221t0μT0,E34

where function τ=τε from Eq. (8). Then, parameter μ from formula (4) satisfies the estimate:

μ1λ22λ2,E35

that is, solution u is regular on strip domain 0T0λ22λ2×R3.

The proof is given in Ref. [9], Theorem 1.3.

Here, we must note the critical level of kinetic energy. Naturally, it is described by equality

ut022=φ221λ2t0T0E36

because the last inequality in Eq. (30) and the following theorem are true (see Ref. [3], Theorem 8).

Theorem 8. Let φC6/5,3/2R3 be initial data. Suppose parameter λ<1 and a vector field u is a solution of problem (1), on an interval 0T, inequality

ut22φ221λ2tT0E37

is fullfilled. Then, the weak solutions utx=u1txu2txu3tx and P=Ptx are regular on strip domain 0T×R3.

Proof. Suppose T<T. Then, from condition, it follows

uT22φ221μλ2.E38

Blow up solution of problem (1) satisfies inequalities:

φ22λ2μtT0+uTut22φ221μλ2+λ2μtT0E39

(see Ref. [3], Lemma 49). Comparing these estimates, we get identity:

ut22=φ221μλ2+λ2μtT0.E40

Differentiate this identity at point t=0. After simple calculations, we obtain equality μ=1. This contradicts to the left-hand inequality in Eq. (8) because dissipation parameter ε<1 (see Ref. [3], Lemma 44). The smoothness pressure function P follows from inclusion utC6/5,3/2 (see Ref. [3], Theorem 6). The theorem is proved.

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5. Conclusions

Summarizing above, we underline the first controlling parameter λ defined at the initial time by formula (3). If this parameter λ1, then we have no blow up solution.

Next, if λ<1, then we introduce another controlling parameter ε which is defined at point time T0 by formula (5). If at this point time, the kinetic energy satisfies the inequality

uT022φ221λ4E41

then we do not have phenomenon collapse again, as in the previous case. But if the kinetic energy changes in the boundaries

φ221λ+λ1λ2uT022<φ221λ4E42

then the guaranteed time interval without collapse is 0T0λ2. In general, it is given by formula (8).

A more refined result is connected with the following lower estimate. If kinetic energy satisfies inequality

ut22φ221λ2tT0E43

for every t,0tT, then the weak solution u of problem (1) is regular on time interval 0T. Now, no examples where kinetic energy could satisfy the strong opposite inequality:

ut22<φ221λ2tT0E44

yet. Therefore, it may be perspective for the further researches. This is the first.

Second, the control may not be point time-based, but on average. For example, if parameter λ<1 and for velocities gradient, the mean value satisfies the inequality

1T00T0ut24dtφ24ln11λ4,E45

then we have no collapse. The existence of smooth solution on time interval 0T0λ2 is described by the inequality of Theorem 2.

In other words, we are doing a subsequent smmothness control in the same way as we are finding optimality control in Bellman principle. Here, the controlling parameters may be various, and, therefore, the researches will be interesting also in this way.

The most important results are described by Theorems 1–2, 5–6, and 8.

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Acknowledgments

No external funding was received for this study.

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Conflict of interest

The author declares no conflict of interest.

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Notes/thanks/other declarations

Dedicated to the bright memory of Academician Ju. G. Reshetnyak.

The author is grateful to all reviewers for their critical comments. Many thanks.

References

  1. 1. Ladyzhenskaya OA. Mathematical Questions of Dynamics of Viscous Incompressible Fluid. 2nd ed. Moscow, Russia: Nauka; 1970. (In Russian)
  2. 2. Serrin J. On the interior regularity of weak solutions of Navier–Stokes equations. Archive for Rational Mechanics and Analysis. 1962;9:187-195
  3. 3. Semenov VI. The 3d Navier-Stokes equations: Invariants, local and global solutions. Axioms. 2019;8(41):1-51. Available from: http://mdpi.com/journal/axioms
  4. 4. Escauriaza L, Seregin GA, Sverak V. L3, solutions to the Navier-Stokes equations and backward uniqieness. Uspekhi Matematicheskih Nauk. 2003;58:3-44. (In Russian)
  5. 5. Seregin G. A certain necessary condition of potential blow up for Navier–Stokes equations. arXiv. 2011, arXiv:1104.3615:1-16. Available from: http://arxiv.org/pdf/1104.3615
  6. 6. Galdi GP. An Introduction to the Mathematical Theory of the Navier–Stokes Equations, Steady Problems. 2nd ed. New York: Springer; 2011
  7. 7. Dobrokhotov SJ, Shafarevich AI. Some integral identities and remarks on the decay at infinity of the solutions to the Navier-Stokes equations in the entire space. Russian Journal of Mathematical Physics. 1993;2(1):133-135
  8. 8. Leray J. Sur le mouvement d’un liquide visqueux emplissant l’espace. Acta Math. 1934;63:193-248. (In French)
  9. 9. Semenov VI. Some properties of blow up solutions in the Cauchy problem for 3d Navier-Stokes equations. Symmetry. 2020;9(1523):1-7. Available from: http://mdpi.com/journal/symmetry

Written By

Vladimir I. Semenov

Submitted: 14 May 2024 Reviewed: 18 May 2024 Published: 09 July 2024