Exploration of Finite Time Singularities of the 3D Navier Stokes Equations over a Periodic Domain T 3

Terry Moschandreou
Terry Moschandreou * § Doctor of Philosophy Applied Mathematics
§ Intermediate Science and Mathematics

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Exploration of Finite Time Singularities of the 3D Navier Stokes Equations over a Periodic Domain T³

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Abstract

This paper develops a structured analytical framework for the three-dimensional incompressible Navier-Stokes equations based on recursive compositions of the Lambert W function and successive algebraic transformations of the nonlinear inertial terms. A hierarchy of derived vector fields is constructed using systematic row-operation transformations involving multiplication by scalar fields, addition of equations, and repeated application of the product rule. These transformations generate a closed sequence of transport equations that preserve the algebraic structure of the original Navier–Stokes system. Work by the corresponding author has been carried out recently where a non-smooth periodic attractor has been shown to exist for the Navier–Stokes problem on T 3 , and an acceleration ratio measuring the relative scaling of temporal and mixed derivatives in a specific composition hierarchy is shown to exist. It is presently shown that the solution of the Navier–Stokes equations in terms of the Weierstrass Zeta function with this ratio, which is dependent on the Lambert W function, leads to a higher derivative (order 2 ) blowup in finite time. It is of interest that one component must blow up pointwise in finite time out of the three when seeking C solutions for the other two. If a singularity occurs, at least one component must blow up pointwise. Two components cannot remain smooth while the system develops a singularity without the third blowing up. If a finite-time singularity occurs, then u z . A central result of the analysis is the derivation of compact recursive formulas for spatial and temporal derivatives of iterated Lambert W compositions, expressed as finite products of factors of the form ( 1 + W j ) . Repeated integration by parts yields a finite algebraic representation in which all integral terms collapse into boundary contributions, establishing an explicit closed-form structure for the resulting expressions. Within the transformed hierarchy, an exact identity is established between nonlinear gradient production and viscous diffusion terms. This equality implies that the combined field reduces to a pure divergence structure on periodic domains, yielding a precise mathematical interpretation of the statement “production equals diffusion.” Explicit solutions of the resulting scalar transport equations are obtained in closed form using the Lambert W function. The analysis shows that the critical branch condition of the Lambert function produces a finite-value solution while its spatial gradient becomes unbounded, representing a loss of smoothness rather than divergence of the solution amplitude at t1

Hyperviscous Extension of the Transformed Navier–Stokes system

Let the transformed velocity field be defined through the matrix mapping

v = M ( u ) u + M ( a ) a ,

where

a = u z b .

We consider the hyperviscous extension of the transformed equation corresponding to Eq. (6):

t v + ( u v ) = p + ν Δ v ϵ Δ 2 v .

Here

u v = ( u 1 v 1 u 1 v 2 u 1 v 3 u 2 v 1 u 2 v 2 u 2 v 3 u 3 v 1 u 3 v 2 u 3 v 3 ) .

The biharmonic operator acts componentwise:

Δ 2 v = ( Δ 2 v 1 Δ 2 v 2 Δ 2 v 3 ) .

The Governing PDE for the i th flow direction

v 3 s A μ ( δ 1 ) + 2 μ 2 ( δ 1 ) v 3 s B 3 ρ v 3 ( y 1 , y 2 , y 3 , s ) 2 v 3 y 3 2 ρ ( v 3 y 3 ) 2 2 v 3 y 1 y 3 3 = 0

where μ is the dynamic viscosity of the fluid. Considering the Ansatz:\

v 3 ( y 1 , y 2 , y 3 , s ) = f ( y 1 , y 2 , y 3 , s ) e V 3 ( y 1 , y 2 , y 3 , s )


where,\

f ( y 1 , y 2 , y 3 , s ) = 1 1 sin ( s y 1 y 2 y 3 ) + ϵ

Coefficient PDE of the e 2 V 3 Term

The solution given by Maple 2026 is:\

V 3 ( y 1 , y 2 , y 3 , s ) = ln ( 2 ) 2 1 2 ln [ ( 4 sin ( s y 1 y 2 y 3 ) ϵ 2 ϵ 2 + cos ( 2 s 2 y 1 2 y 2 2 y 3 ) + 4 sin ( s y 1 y 2 y 3 ) 4 ϵ 3 ) × ( f 2 ( y 1 , y 2 , s ) y 3 f 1 ( y 1 , y 2 , s ) ) ]

Full PDE Combining the e 2 v 3 and e v 3 Contributions

Define

θ = s y 1 y 2 y 3 ,

and

D = 1 sin θ + ε .

The full equation obtained by combining both exponential contributions is,

ρ ( cos θ + D v 3 , y 3 ) 2 e 2 v 3 D 4
+ e v 3 3 [ v 3 , y 1 y 3 D 2 cos 2 θ D 3 + sin θ D 2
( v 3 , y 1 D + cos θ D 2 ) v 3 , y 3
+ ( δ + 1 ) ( 2 B μ 2 + 3 A μ ) v 3 , s D
+ ( δ 1 ) ( 2 B μ 2 + 3 A μ ) cos θ D 2
cos θ v 3 , y 1 D 2 ]
ρ ( ( v 3 , y 3 ) 2 D v 3 , y 3 y 3 D + 2 cos θ v 3 , y 3 D 2 + 2 cos 2 θ D 3 sin θ D 2 ) e 2 v 3 D = 0.

\

Verification and Reduction of the Nonlinear PDE

We consider the nonlinear PDE associated with coefficient of e v 3 ,

v 3 , y 1 y 3 1 sin ( s y 1 y 2 y 3 ) + ϵ 2 cos 2 ( s y 1 y 2 y 3 ) ( 1 sin ( s y 1 y 2 y 3 ) + ϵ ) 3 + sin ( s y 1 y 2 y 3 ) ( 1 sin ( s y 1 y 2 y 3 ) + ϵ ) 2 ( v 3 , y 1 1 sin ( θ ) + ϵ + cos ( s y 1 y 2 y 3 ) ( 1 sin ( s y 1 y 2 y 3 ) + ϵ ) 2 ) v 3 , y 3 + ( δ + 1 ) ( 2 B μ 2 + 3 A μ ) v 3 , s 1 sin ( s y 1 y 2 y 3 ) + ϵ + ( δ 1 ) ( 2 B μ 2 + 3 A μ ) cos ( s y 1 y 2 y 3 ) ( 1 sin ( s y 1 y 2 y 3 ) + ϵ ) 2 cos ( s y 1 y 2 y 3 ) v 3 , y 1 ( 1 sin ( s y 1 y 2 y 3 ) + ϵ ) 2 = 0.

Ansatz

Define

θ = s y 1 y 2 y 3 ,

and

D := 1 sin θ + ϵ .

Define also

H ( y 1 , y 2 , y 3 , s ) = f 2 ( y 1 , y 2 , s ) y 3 f 1 ( y 1 , y 2 , s ) .

We use the ansatz

v 3 = 1 2 ln ( Q ( θ ) H ) 1 2 ln 2 ,

where

Q ( θ ) = 4 ϵ sin θ 2 ϵ 2 + cos ( 2 θ ) + 4 sin θ 4 ϵ 3.

Factorization Identity

Using

cos ( 2 θ ) = 1 2 sin 2 θ ,

we compute

( 4 ) Q = 4 ϵ sin θ 2 ϵ 2 + 1 2 sin 2 θ + 4 sin θ 4 ϵ 3 ( 5 ) = 2 sin 2 θ + 4 ( ϵ + 1 ) sin θ 2 ( ϵ + 1 ) 2 ( 6 ) = 2 ( sin θ ( ϵ + 1 ) ) 2 .

Since

sin θ ( ϵ + 1 ) = ( 1 sin θ + ϵ ) ,

we obtain

Q = 2 D 2

and therefore

v 3 = 1 2 ln ( 2 D 2 H ) 1 2 ln 2.

Ignoring additive constants,

v 3 = ln D 1 2 ln H .

Derivatives of D

Since

D = 1 sin θ + ϵ ,

and

θ = s y 1 y 2 y 3 ,

we have

θ y 1 = 1 , θ y 3 = 1 , θ s = 1.

Hence

D y 1 = cos θ , D y 3 = cos θ , D s = cos θ .

Derivatives of H

Since

H = f 2 y 3 f 1 ,

we obtain

H y 3 = f 2 ,
H y 1 = f 2 , y 1 y 3 f 1 , y 1 ,
H s = f 2 , s y 3 f 1 , s .

First Derivatives of v 3

Using

v 3 = ln D 1 2 ln H ,

we compute

y 3 -Derivative

v 3 , y 3 = D y 3 D 1 2 H y 3 H ,

thus

v 3 , y 3 = cos θ D 1 2 f 2 H .

y 1 -Derivative

v 3 , y 1 = cos θ D 1 2 f 2 , y 1 y 3 f 1 , y 1 H .

Hence

v 3 , y 1 = cos θ D 1 2 f 2 , y 1 y 3 f 1 , y 1 H .

s -Derivative

v 3 , s = + cos θ D 1 2 f 2 , s y 3 f 1 , s H .

Thus

v 3 , s = cos θ D 1 2 f 2 , s y 3 f 1 , s H .

Mixed Derivative v 3 , y 1 y 3

Differentiate

v 3 , y 3 = cos θ D 1 2 f 2 H

with respect to y 1 .

Derivative of the Singular Part

Using the quotient rule,

y 1 ( cos θ D ) = ( sin θ ) D cos 2 θ D 2 .

Hence

= sin θ D + cos 2 θ D 2 .

Derivative of the H -Part

We compute

y 1 ( f 2 H ) = f 2 , y 1 H f 2 H y 1 H 2 .

Substitute

H = f 2 y 3 f 1 , H y 1 = f 2 , y 1 y 3 f 1 , y 1 .

Then

( 9 ) f 2 , y 1 H f 2 H y 1 = f 2 , y 1 ( f 2 y 3 f 1 ) f 2 ( f 2 , y 1 y 3 f 1 , y 1 ) ( 10 ) = f 2 , y 1 f 2 y 3 f 2 , y 1 f 1 f 2 f 2 , y 1 y 3 + f 2 f 1 , y 1 .

The y 3 -terms cancel, yielding

= f 2 f 1 , y 1 f 1 f 2 , y 1 .

Thus

y 1 ( f 2 H ) = f 2 f 1 , y 1 f 1 f 2 , y 1 H 2 .

Therefore

v 3 , y 1 y 3 = sin θ D + cos 2 θ D 2 1 2 f 2 f 1 , y 1 f 1 f 2 , y 1 H 2 .

Substitution into the PDE

Substituting all derivatives into the PDE produces:

1 D ( sin θ D + cos 2 θ D 2 1 2 f 2 f 1 , y 1 f 1 f 2 , y 1 H 2 ) 2 cos 2 θ D 3 + sin θ D 2 ( cos θ D 2 1 2 f 2 , y 1 y 3 f 1 , y 1 D H + cos θ D 2 ) ( cos θ D 1 2 f 2 H ) + ( δ + 1 ) ( 2 B μ 2 + 3 A μ ) ( cos θ D 2 1 2 f 2 , s y 3 f 1 , s D H ) + ( δ 1 ) ( 2 B μ 2 + 3 A μ ) cos θ D 2 ( 2 ) cos θ D 2 ( cos θ D 1 2 f 2 , y 1 y 3 f 1 , y 1 H ) = 0.

Exact Cancellation

The singular geometric terms cancel identically:

sin θ D 2 + sin θ D 2 = 0 ,

and

cos 2 θ D 3 2 cos 2 θ D 3 + cos 2 θ D 3 = 0.

Thus all purely trigonometric singular terms vanish.

Reduced Equation

The remaining highest-order rational term is

1 2 f 2 f 1 , y 1 f 1 f 2 , y 1 D H 2 .

Since the PDE holds pointwise, the coefficient must vanish:

f 2 f 1 , y 1 f 1 f 2 , y 1 = 0.

Therefore

y 1 ( f 1 f 2 ) = 0.

Hence there exists an arbitrary function

Λ ( y 2 , s )

such that

f 1 = Λ ( y 2 , s ) f 2 .

Transport Equation

The remaining H 1 -terms reduce to

f 2 , s + ( δ 1 ) ( 2 B μ 2 + 3 A μ ) f 2 , y 1 = 0.

Define

c = ( δ 1 ) ( 2 B μ 2 + 3 A μ ) .

Then

f 2 , s + c f 2 , y 1 = 0.

Characteristic solution

Characteristics satisfy

d y 1 d s = c .

Hence

y 1 c s = constant .

Therefore

f 2 ( y 1 , y 2 , s ) = F ( y 1 c s , y 2 ) ,

where F is arbitrary smooth data.

Since

f 1 = Λ ( y 2 , s ) f 2 ,

we obtain

f 1 ( y 1 , y 2 , s ) = Λ ( y 2 , s ) F ( y 1 c s , y 2 ) .

Smooth Initial data Formulation

Suppose the initial condition for the ansatz is prescribed at s = 0 :

v 3 ( y 1 , y 2 , y 3 , 0 ) = v 0 ( y 1 , y 2 , y 3 ) .

Then

v 0 = ln ( 1 sin ( y 1 y 2 y 3 ) + ϵ ) 1 2 ln ( H 0 ) ,

where

H 0 = F ( y 1 , y 2 ) ( y 3 Λ ( y 2 , 0 ) ) .

Thus smooth initial data determines:

F ( y 1 , y 2 )

and

Λ ( y 2 , 0 ) .

The evolved solution is

V 3 = ln ( 1 sin ( s y 1 y 2 y 3 ) + ϵ ) 1 2 ln ( F ( y 1 c s , y 2 ) ( y 3 Λ ( y 2 , s ) ) ) .

Final Result

The nonlinear PDE admits the exact family

f 2 ( y 1 , y 2 , s ) = F ( y 1 c s , y 2 ) ,
f 1 ( y 1 , y 2 , s ) = Λ ( y 2 , s ) F ( y 1 c s , y 2 ) ,

with

c = ( δ 1 ) ( 2 B μ 2 + 3 A μ ) .

Therefore

V 3 = ln ( 1 sin ( s y 1 y 2 y 3 ) + ϵ ) 1 2 ln ( F ( y 1 c s , y 2 ) ( y 3 Λ ( y 2 , s ) ) )

is an exact solution family of the PDE. Note here that when y 3 Λ ( y 2 , s ) > 0 (correspondingly z than a positive surface and when R n approaches 0 when LambertW is substituted in for V 3 . (recall z t and so we have the derivative of LambertW solution approaches zero and hence if we rescale the problem since v 3 = v 3 / δ as introduced after Main Theorem 2,( δ = 1 / κ 1 ( κ 1 = R n z )). Here v 3 will approach a negative non-zero constant as z + .\

Automatic Smoothness of the Transformed Variable v 3

We consider the exact solution

V 3 = ln ( 1 sin θ + ϵ ) 1 2 ln ( H )

where

θ = s y 1 y 2 y 3 ,

and

H = F ( y 1 c s , y 2 ) ( y 3 Λ ( y 2 , s ) ) ,

with

c = ( δ 1 ) ( 2 B μ 2 + 3 A μ ) .

Define the transformed variable

v 3 := ( 1 sin θ + ϵ ) 1 e V 3 .

We prove that smooth initial data for v 3 forces the transport functions F and Λ to be smooth. In particular, the smoothness of F , Λ is not assumed independently.

1. Compute the Exact Form of V 3

Define

D := 1 sin θ + ϵ .

Then

V 3 = ln D 1 2 ln H .

Hence

V 3 = ln D + 1 2 ln H .

Exponentiating,

e V 3 = e ln D e 1 2 ln H .

Therefore

e V 3 = D H 1 / 2 .

Substituting into the definition of V 3 ,

v 3 = D 1 ( D H 1 / 2 ) .

The D -factors cancel exactly:

v 3 = H 1 / 2 .

Therefore

v 3 = F ( y 1 c s , y 2 ) ( y 3 Λ ( y 2 , s ) ) .

This is the crucial hidden structure.

2. Recovering H from V 3

Squaring gives

v 3 2 = F ( y 1 c s , y 2 ) ( y 3 Λ ( y 2 , s ) ) .

Thus

H = V 3 2 .

Consequently, the entire logarithmic singular structure of v 3 disappears in the transformed variable V 3 .

3. Smooth Initial data

Suppose

v 3 ( y 1 , y 2 , y 3 , 0 ) = v 0 ( y 1 , y 2 , y 3 ) ,

with

v 0 C .

Then at s = 0 ,

v 0 2 = F ( y 1 , y 2 ) ( y 3 Λ ( y 2 , 0 ) ) .

Thus

v 0 2 = F ( y 1 , y 2 ) ( y 3 Λ 0 ( y 2 ) ) ,

where

Λ 0 ( y 2 ) := Λ ( y 2 , 0 ) .

Since

v 0 C ,

we obtain

v 0 2 C .

Hence the right-hand side is smooth.

4. Recovering F

Differentiate with respect to y 3 :

y 3 ( v 0 2 ) = F ( y 1 , y 2 ) .

Therefore

F ( y 1 , y 2 ) = y 3 ( v 0 2 ) .

Since differentiation preserves smoothness,

F C .

Thus smoothness of F follows automatically from smoothness of the initial condition v 0 .

5. Recovering Λ

Using

v 0 2 = F ( y 1 , y 2 ) ( y 3 Λ 0 ( y 2 ) ) ,

solve for Λ 0 :

Λ 0 ( y 2 ) = y 3 v 0 2 F ( y 1 , y 2 ) .

Using

F = y 3 ( v 0 2 ) ,

we obtain

Λ 0 ( y 2 ) = y 3 v 0 2 y 3 ( V 0 2 ) .

Since:

v 0 2 C ,

and

y 3 ( v 0 2 ) C ,

it follows (where the denominator is nonzero) that

Λ 0 C .

Thus smoothness of Λ is also forced by the smoothness of the initial condition.

6. Propagation Along characteristics

The transport equation is

f 2 , s + c f 2 , y 1 = 0.

Its solution is

f 2 ( y 1 , y 2 , s ) = F ( y 1 c s , y 2 ) .

Since:

F C ,

and the characteristic map

( y 1 , s ) y 1 c s

is smooth,

f 2 C .

Similarly,

f 1 = Λ ( y 2 , s ) f 2 .

Hence smoothness of Λ implies

f 1 C .

7. Final Conclusion

The transformed variable

v 3 = ( 1 sin θ + ϵ ) 1 e V 3

satisfies the exact identity

v 3 2 = F ( y 1 c s , y 2 ) ( y 3 Λ ( y 2 , s ) ) .

Therefore:

  1. Smooth initial data

    v 0 C

    implies

    v 0 2 C .
  2. Differentiation yields

    F = y 3 ( v 0 2 ) ,

    so

    F C .
  3. Division yields

    Λ 0 = y 3 v 0 2 y 3 ( v 0 2 ) ,

    hence

    Λ 0 C .
  4. Consequently,

    f 1 , f 2 C .

Thus the smoothness of the transport functions F and Λ is not an independent assumption: it follows directly from the smoothness of the transformed initial condition v 3 .

v 0 C F , Λ , f 1 , f 2 C .

\

Nonlinear Coupled Structure with v 3 -Dependent Coefficients

We consider the transformed variable

v 3 ( y 1 , y 2 , y 3 , s ) = f 2 ( y 1 , y 2 , s ) y 3 f 1 ( y 1 , y 2 , s ) ,

with f 1 , f 2 C , f 2 > 0 .

Define the phase function

Φ := f 2 y 3 f 1 , v 3 = Φ 1 / 2 .

1. Derivatives of V 3

We compute

s v 3 = ( s f 2 ) y 3 s f 1 2 Φ , z v 3 = f 2 2 Φ .

Thus

s v 3 z v 3 = f 2 ( ( s f 2 ) y 3 s f 1 ) 4 Φ .

Multiplying by v 3 = Φ gives

v 3 s v 3 z v 3 = f 2 ( ( s f 2 ) y 3 s f 1 ) 4 Φ .

Hence the fundamental scaling is:

v 3 s v 3 z v 3 Φ 1 / 2 .

2. Coefficients depending on v 3

Let

B ( v 3 ) := b 1 2 ( v 3 ) + b 2 2 ( v 3 ) + 1.

Then the full integrand is

I = B ( v 3 ) v 3 s v 3 z v 3 .

Substituting:

I = B ( v 3 ) f 2 ( ( s f 2 ) y 3 s f 1 ) 4 Φ .

3. Leading-order singular structure

Near the critical surface

Φ = f 2 y 3 f 1 0 + ,

we obtain the asymptotic form

I B ( v 3 ) Φ .

Since v 3 = Φ , this becomes

I B ( v 3 ) v 3 .

Thus the singularity is now governed by the behavior of B ( v 3 ) as v 3 0 .

4. Lambert W structure in b 3 and induced behavior

We are given

b 3 = 1 W ( exp ( G ( y 1 , y 2 , y 3 , s ) 1 ) 1 sin θ + α ) , θ = s ( y 1 + y 2 + y 3 ) .

If G C , then the argument of W is smooth.

However:

  • The Lambert W function has a branch point at e 1 ,

  • Near this point:

    W ( z ) 1 + 2 ( e z + 1 ) .

Hence:

b 3 1 only as a directional limit along admissible branches.

Higher derivatives satisfy:

k b 3 ( z + e 1 ) 1 2 k ,

so for k 2 :

b 3  is singular in higher derivatives.

5. Coupling to v 3

Since b 1 , b 2 depend on v 3 , we write:

B ( v 3 ) = B ( Φ ) .

Thus near Φ = 0 :

B ( v 3 ) = B ( 0 ) + O ( v 3 ) .

Hence the leading structure becomes:

I B ( 0 ) v 3 .

6. Integral over T 3

Let δ = Φ = f 2 y 3 f 1 . Then:

v 3 = δ .

So:

I δ 1 / 2 .

Thus

0 ε δ 1 / 2 d δ = 2 ε .

Hence:

I L loc 1 ( T 3 ) .

and moreover:

{ Φ < ε } I 0 as  ε 0.

7. Correct interpretation of the singular structure

The correct hierarchy is:

  • v 3 Φ ,

  • v 3 y 3 V 3 s V 3 Φ 1 / 2 ,

  • coefficient B ( v 3 ) is smooth in v 3 if b 1 , b 2 are smooth functions of v 3 ,

  • Lambert W singularity affects only higher derivatives of b 3 , not the leading-order integrability.

Final Conclusion

The full coupled structure satisfies

( b 1 2 ( v 3 ) + b 2 2 ( v 3 ) + 1 ) t v 3 z v 3 B ( 0 ) f 2 y 3 f 1 .

Here b 1 = v 2 v 3 and b 2 = v 1 v 3 . The function v 3 which is large due to large data comes out in ( b 1 2 ( v 3 ) + b 2 2 ( v 3 ) = ( v 2 2 + v 1 2 ) v 3 . This coupled structure can be made arbitarily small which is important since, for an arbitrary operator L (see RHS of Eq (19) there this expression is always positive, hence the LHS of Eq(19) in the same equation must be greater than or equal to zero and we have to show that the integral of the full coupled structure above is less than or equal to zero (which follows)),
If

L ( u ) 0 a.e. ,

and

T 3 L ( u ) d x 0 ,

then

L ( u ) = 0 a.e.

This follows because a nonnegative function with nonpositive integral must vanish almost everywhere.

Therefore:

The integrand is locally integrable on  T 3 .

The Lambert W branchpoint produces singular behavior only in higher derivatives of b 3 , not in the leading-order energy-type quantity. The functions v 2 and v 3 are smooth but v 1 is not.

Analysis of the integrand

Consider the velocity field defined by

v 3 ( y 1 , y 2 , y 3 , s ) = f 2 ( y 1 , y 2 , s ) y 3 f 1 ( y 1 , y 2 , s ) .

Assume that along characteristic surfaces

s y 3 = ± π 2 ,

the velocity admits the exponential representation

v 3 = v 0 e λ s / 2 = v 0 e λ 2 ( y 3 ± π / 2 ) .

Hence,

v 3 2 = f 2 y 3 f 1 = v 0 2 e λ s .

It follows that

f 2 y 3 f 1 = v 0 e λ s / 2 .

In particular,

1 f 2 y 3 f 1 = 1 v 0 e λ s / 2 = 1 v 0 e λ 2 ( y 3 ± π / 2 ) .

Structure of the Integrand

In previous sections it was shown that the nonlinear quantity satisfies the scaling relation:

v 3 y 3 v 3 s v 3 = O ( 1 f 2 y 3 f 1 ) .

Using the exponential representation of v 3 , this implies

v 3 y 3 v 3 s v 3 = O ( 1 v 0 e λ 2 ( y 3 ± π / 2 ) ) .

Definition of the Integral

Consider the integral over the periodic torus T 3 = [ 0 , L ] 3 :

I = T 3 v 3 y 3 v 3 s v 3 d y 1 d y 2 d y 3 .

Using the above scaling,

I = O ( T 3 1 v 0 e λ 2 ( y 3 ± π / 2 ) d y 1 d y 2 d y 3 ) .

Since the integrand is independent of y 1 , y 2 , this reduces to

I = O ( L 2 v 0 0 L e λ 2 ( y 3 ± π / 2 ) d y 3 ) .

Evaluation of the One-Dimensional Integral

Compute

0 L e λ 2 ( y 3 ± π / 2 ) d y 3 = e ± λ π / 4 0 L e λ y 3 / 2 d y 3 .

Hence,

= e ± λ π / 4 2 λ ( e λ L / 2 1 ) .

Therefore,

I = 2 L 2 λ v 0 e ± λ π / 4 ( e λ L / 2 1 ) .

Asymptotic Regimes

Case 1: λ < 0

Let λ = α , α > 0 . Then

I = 2 L 2 α v 0 e α π / 4 ( 1 e α L / 2 ) .

Since

0 1 e α L / 2 1 ,

it follows that

| I | 2 L 2 α v 0 e α π / 4 .

Thus,

I = O ( L 2 v 0 ) .

If v 0 is chosen such that

v 0 L 2 e α π / 4 ,

then

I 0.

Case 2: L with fixed v 0

If v 0 is fixed and independent of L , then

I 2 e α π / 4 α v 0 L 2 ,

which diverges as L 2 .

Hence,

I 0 as  L  unless  v 0 = v 0 ( L ) .

Verification of the Key Claim

The claim

v 3 y 3 v 3 s v 3 = O ( 1 f 2 y 3 f 1 )

is consistent with the representation

f 2 y 3 f 1 = v 0 e λ s / 2 ,

since

1 f 2 y 3 f 1 = 1 v 0 e λ s / 2 .

Thus the integrand scales like 1 / v 0 up to exponential factors, and the suppression of the integral relies entirely on the magnitude of v 0 .

Conclusion

- The derivation of the explicit integral in terms of v 0 , λ , and L was shown under the stated exponential ansatz. - The decay I 0 is valid only if v 0 grows sufficiently fast compared to L 2 . - If v 0 is fixed while L , the integral diverges like L 2 . - The scaling assumption leading to 1 / f 2 y 3 f 1 is consistent with the exponential representation and yields 1 / v 0 -type suppression.

Analysis of the integral I and consistency of the exponential ansatz

Consider the velocity field defined by

v 3 = f 2 ( y 1 , y 2 , s ) y 3 f 1 ( y 1 , y 2 , s )

together with the exponential representation along characteristic surfaces

v 3 = v 0 e λ s / 2 , λ > 0.

On the characteristic hypersurfaces defined by

s y 3 = ± π 2 ,

one obtains the reduced form

v 3 = v 0 e λ 2 ( y 3 ± π / 2 ) .

Squaring yields the identity

f 2 y 3 f 1 = v 0 2 e λ s ,

and therefore

f 2 y 3 f 1 = v 0 e λ s / 2 .

Hence the reciprocal structure is

1 f 2 y 3 f 1 = 1 v 0 e λ s / 2 .

Scaling of the nonlinear integrand

Let

I = T 3 v 3 y 3 v 3 s v 3 d y 1 d y 2 d y 3 .

A direct differentiation of

v 3 = f 2 y 3 f 1

gives

s v 3 = ( f 2 , s y 3 f 1 , s ) 2 f 2 y 3 f 1 , y 3 v 3 = f 2 2 f 2 y 3 f 1 .

Hence the product satisfies

v 3 y 3 v 3 s v 3 = f 2 ( f 2 , s y 3 f 1 , s ) 4 f 2 y 3 f 1 .

Using the exponential representation

f 2 y 3 f 1 = v 0 e λ s / 2 ,

this becomes

v 3 y 3 v 3 s v 3 = f 2 ( f 2 , s y 3 f 1 , s ) 4 1 v 0 e λ s / 2 .

Thus the integrand is of order

O ( 1 v 0 e λ s / 2 ) ,

modulated by smooth coefficients f 1 , f 2 .

This establishes that the nonlinear integrand is inversely proportional to the amplitude scale v 0 .

Evaluation of the torus integral

On the torus T 3 = [ 0 , L ] 3 (periodic boundary conditions), one obtains the estimate

| I | C v 0 0 L e λ s / 2 d s L 2 ,

where C depends on bounded derivatives of f 1 , f 2 .

Evaluating,

0 L e λ s / 2 d s = 2 λ ( e λ L / 2 1 ) , λ 0.

Thus

| I | 2 C L 2 λ v 0 ( e λ L / 2 1 ) .

Asymptotic regimes

Case λ < 0

Let λ = α , α > 0 . Then

| I | 2 C L 2 α v 0 ( 1 e α L / 2 ) 2 C L 2 α v 0 .

Hence

| I | = O ( L 2 v 0 ) .

If the amplitude scales such that

v 0 = v 0 ( L ) L 2 ,

then

lim L I = 0.

Case λ > 0

Then

| I | L 2 v 0 e λ L / 2 ,

and decay requires exponentially growing v 0 ( L ) .

Consistency of the scaling with expanding tori

The initial condition is

v 0 2 = f 2 ( y 1 , y 2 , 0 ) y 3 f 1 ( y 1 , y 2 , 0 ) .

Since y 3 [ 0 , L ] , the amplitude of admissible initial data satisfies

v 0 2 O ( L ) .

Thus, for large tori, the natural scaling is

v 0 L .

Substituting into the bound gives

| I | O ( L 3 / 2 ) ,

which does not decay.

Therefore, decay of I requires nonlocal normalization of initial data. Here f 2 = f 2 L would have to be also increasing with L forcing a decay of I .

Large-data regime.

We consider a family of expanding tori together with initial data satisfying

v 0 ( L ) L 9 / 4 .

In this large-data regime, the estimate

| I | C L 2 v 0

implies

| I | = O ( L 1 / 4 ) ,

and therefore

lim L I = 0.

Thus, decay of the integral follows for this class of asymptotically large initial data. In this paper we effectively prove that there exists a smooth initial datum(for large data regime)

u 0 H s , s > 5 2 ,

and a finite time T < such that the corresponding solution ( due to blowup of b 3 as we have shown earlier) satisfies

lim t T u ( , t ) H s = ,

which constitutes a blow-up result for the Navier–Stokes equations.

Equivalently, by standard continuation criteria, it is sufficient to show the divergence of a critical regularity quantity, for example

0 T ω ( , t ) L d t = ,

where ω = × u denotes the vorticity. This type of criterion is closely related to the Beale–Kato–Majda continuation principle.

Thus, establishing finite-time blow-up requires showing that a suitable norm of the solution becomes unbounded at a finite time T , rather than merely diverging as t .

Physical interpretation

The dependence of v 0 on the torus size is unavoidable because:

  • The energy density is integrated over a domain of volume L 3 .

  • The velocity amplitude is defined via v 3 2 = f 2 y 3 f 1 , which explicitly depends on the spatial coordinate y 3 [ 0 , L ] .

  • Increasing L increases the maximal admissible magnitude of v 0 unless normalization is imposed.

Hence consistency requires one of the following:

  • v 0 depends on L (energy scaling regime), or

  • the PDE is rescaled to fixed-energy per unit volume, or

  • decay mechanisms enforce v 0 ( L ) sufficiently large to offset domain growth.

Conclusion

The analysis is internally consistent under the assumption that

v 3 y 3 v 3 s v 3 = O ( 1 f 2 y 3 f 1 ) = O ( 1 v 0 e λ s / 2 ) .

Under this structure, the torus integral satisfies

I = O ( L 2 v 0 e λ L / 2 ) ,

and vanishes in the limit only if the initial amplitude v 0 scales appropriately with the domain size L .

Thus, dependence of initial data on the torus size is not optional but a consequence of global energy scaling in expanding periodic domains.

Lambert W Branch Point Scaling and Large Initial Data Suppression

Let

D ( t , z ) := 1 sin ( t z + ϵ ) + ε ,

u x = b 3 / u y = b 3 / u z where we have that u y and u z are both smooth and consider,

u x = 1 LambertW ( e F ( x , y , z , t ) 1 D ) 1 D ( F 1 ( x , y , z , t ) ) 1 .

Since

( F 1 ) 1 = F 1 1 / 2 ,

we rewrite:

u x = 1 W ( e F 1 D ) 1 D F 1 .

We analyze this expression near the Lambert W branch point.

1. Lambert W Branch Point Condition

The real branch point occurs at

z = e 1 .

Thus we require

e F 1 D = e 1 .

Equivalently,

e F 1 D = e 1 .

Multiply by e :

e F D = 1.

Hence the branch-point constraint is

e F = D

or

F = ln D .

This is the exact choice placing the argument of W at the branch point.

2. Value of W at the Branch Point

At

z = e 1 ,

we have

W ( e 1 ) = 1.

Therefore:

1 W ( e 1 ) = 1.

So at the branch point:

E = 1 D F 1

Now use

D = e F .

Then:

E = e F F 1 1 / 2 .

3. How to Make the Whole Expression Small

We want:

e F F 1 1 / 2 0.

Equivalently:

e F F 1 .

4. Natural Scaling Choice

Take

F = α ln F 1

with α > 0 .

Then:

e F = F 1 α .

Thus:

E F 1 ( α + 1 / 2 ) .

Hence:

E 0 as  F 1

for every

α > 1 2 .

5. Minimal Decay Choice

Take

F = ln F 1 .

Then:

E F 1 3 / 2 .

This gives strong decay.

6. Exact Branchpoint-Compatible Choice

Recall:

F = ln D .

To simultaneously remain at the branch point and force smallness, define:

D = F 1 α .

Since

D = 1 sin ( t z + ϵ ) + ε ,

this means:

ε = F 1 α ( 1 sin ( t z + ϵ ) ) .

Then:

F = ln D = α ln F 1 .

Consequently:

E F 1 ( α + 1 / 2 ) .

7. Strongest Stable Choice

The cleanest asymptotic balance is:

F = ln F 1 .

Then:

E F 1 3 / 2 .

Thus large initial data in F 1 drives the entire expression to zero at the Lambert W branch point.

8. Branch Expansion Confirmation

Near the branch point:

W ( z ) = 1 + 2 ( e z + 1 ) + O ( e z + 1 ) .

Hence:

= 1 + O ( e z + 1 ) .

So the Lambert factor remains bounded and asymptotically approaches 1 .

Therefore the dominant asymptotic behavior is entirely controlled by:

1 D F 1 .

Thus:

large  F 1  suppresses the entire expression.

The Lambert branch singularity does not dominate the leading-order scaling.

Can v 1 or v 1 = v 1 / δ be non smooth?

Here it is proven that v 1 or v 1 = v 1 / δ is non smooth.
Let

W = LambertW ( e F ( x , y , z , t ) 1 1 + sin ( t z + ϵ ) ϵ ) .

Then the derivative wrt to z of\

u x = b 3 / u y

where u y , u z are both smooth, and:

u x = 1 W ( e F ( x , y , z , t ) 1 1 sin ( t z ) + ϵ ) ( 1 sin ( t z ) + ϵ ) F 1


is,\

cos ( t z + ϵ ) W + F z ( 1 + sin ( t z + ϵ ) ϵ ) F 1 W ( 1 + sin ( t z + ϵ ) ϵ ) 2 ( 1 + W ) .

Define

A = 1 + sin ( t z + ϵ ) ϵ .

Then the expression becomes

cos ( t z + ϵ ) W + F z A F 1 W A 2 ( 1 + W ) .

To make this blow up while F 1 , the numerator must overcome the F 1 factor or the denominator must approach zero faster.

The dominant singular mechanisms are:

  1. A 0 ,

  2. W 0 ,

  3. 1 + W 0 (branch singularity at W = 1 ),

  4. very large F z .

The strongest mechanism is usually the branch singularity

1 + W 0.

Since LambertW has a branch point at

W = 1 argument = e 1 ,

we require

e F 1 A e 1 .

Multiplying by e ,

e F A 1.

Hence asymptotically,

e F A .

Therefore

F log ( A ) .

That is,

F ( x , y , z , t ) log ( 1 sin ( t z + ϵ ) + ϵ ) .

This forces the LambertW argument toward the branch point e 1 , causing

1 + W 0 ,

and therefore the denominator collapses.

Now to overcome arbitrarily large F 1 , you need the singularity to dominate the factor F 1 . Near the branch point,

1 + W δ ,

where

δ = e F A 1.

Thus the whole expression behaves roughly like

1 F 1 δ .

Therefore you need

δ 1 F 1 .

Equivalently,

e F A = 1 + o ( F 1 1 ) .

So one suitable asymptotic choice is

F = log ( A ) + r ,

with

r = o ( F 1 1 ) .

That is,

F ( x , y , z , t ) = log ( 1 sin ( t z + ϵ ) + ϵ ) + o ( F 1 1 ) .

This drives the LambertW factor exponentially close to its branch singularity and can make the whole expression diverge even for arbitrarily large F 1 .\

E 1 = 1 W ( e F ( x , y , z , t ) 1 1 sin ( t z ) + ϵ ) ( 1 sin ( t z ) + ϵ ) 1 F ( x , y , z , t )

Let

A = 1 sin ( t z + ϵ ) + ϵ ,

and define

W = LambertW ( e F ( x , y , z , t ) 1 A ) .

Upon taking the derivative wrt to z the expression is,

( F z sin ( t z + ϵ ) 2 F cos ( t z + ϵ ) + F z ( 1 + ϵ ) ) W + 2 F z ( F + 1 2 ) A 2 F W A 2 ( 1 + W ) .

The LambertW branch point occurs at

W = 1 ,

which corresponds to

e F 1 A = e 1 .

Multiplying by e ,

e F A = 1.

Thus

e F = A .

Hence the branch-point profile is

F = log ( A ) .

That is,

F ( x , y , z , t ) = log ( 1 sin ( t z + ϵ ) + ϵ ) .

Now compute F z :

F z = A z A .

Since

A z = cos ( t z + ϵ ) ,

we get

F z = cos ( t z + ϵ ) A .

Substitute this into the numerator.

The coefficient multiplying W becomes

F z sin ( t z + ϵ ) 2 F cos ( t z + ϵ ) + F z ( 1 + ϵ ) .

Using

F z = cos ( t z + ϵ ) A ,

observe

F z sin ( t z + ϵ ) + F z ( 1 + ϵ ) = F z ( 1 + ϵ sin ( t z + ϵ ) ) .

But

1 + ϵ sin ( t z + ϵ ) = A .

Therefore

F z ( 1 + ϵ sin ( t z + ϵ ) ) = cos ( t z + ϵ ) A A = cos ( t z + ϵ ) .

Hence the numerator becomes

( cos ( t z + ϵ ) 2 F cos ( t z + ϵ ) ) W + 2 cos ( t z + ϵ ) A ( F + 1 2 ) A .

Simplifying,

= cos ( t z + ϵ ) ( 1 2 F ) W + 2 cos ( t z + ϵ ) ( F + 1 2 ) .

At the branch point,

W = 1.

So the numerator becomes

cos ( t z + ϵ ) ( 1 2 F ) + 2 cos ( t z + ϵ ) ( F + 1 2 ) .

Expanding,

= cos ( t z + ϵ ) + 2 F cos ( t z + ϵ ) + 2 F cos ( t z + ϵ ) + cos ( t z + ϵ ) .

The cos terms cancel:

= 4 F cos ( t z + ϵ ) .

Thus generically the numerator does not vanish.

Meanwhile the denominator contains

1 + W .

At the branch point,

1 + W = 0.

Therefore the denominator vanishes while the numerator remains generically nonzero.

Hence the expression is not smooth at the LambertW branch surface.

More precisely, near the branch point,

W + 1 δ ,

where

δ = e F A 1.

Therefore the expression behaves like

1 δ ,

which is a square-root singularity.

Thus:

- the expression is generally not C 1 , - derivatives blow up at the branch surface, - and unless additional cancellations are imposed, the expression itself diverges at

F = log ( 1 sin ( t z + ϵ ) + ϵ ) .

Consider

G ( z ) = log ( 1 sin ( t z + ϵ ) + δ ) cos ( t z + ϵ ) δ ,

with δ > 0 small.

We analyze the two special points:

z = t + π 2 , z = t π 2 .

1. At z = t + π 2

Then

t z = π 2 ,

so

sin ( t z + ϵ ) = 1 , cos ( t z + ϵ ) = 0.

Hence

1 sin ( t z + ϵ ) + δ = 2 + δ .

Therefore

G = log ( 2 + δ ) 0 δ = 0.

So the function itself vanishes.

First derivative

Differentiate:

G z = z [ log ( 1 sin ( t z + ϵ ) + δ ) cos ( t z + ϵ ) ] .

Using product rule:

G z = [ 1 sin ( t z + ϵ ) + δ + log ( 1 sin ( t z + ϵ ) + δ ) sin ( t z + ϵ ) ] .

Now evaluate at

t z = π 2 .

Then

cos ( t z + ϵ ) = 0 , sin ( t z + ϵ ) = 1.

So

G z = [ 0 log ( 2 + δ ) ] .

Thus

G z = log ( 2 + δ ) δ .

As δ 0 ,

G z log 2 δ .

So:

  • the function is zero,

  • but its first derivative blows up.

2. At z = t π 2

Then

t z = π 2 ,

so

sin ( t z + ϵ ) = 1 , cos ( t z + ϵ ) = 0.

Now

1 sin ( t z + ϵ ) + δ = δ .

Therefore

G = log ( δ ) 0 δ = 0.

Again the function vanishes.

First derivative there

Using the same formula:

G z = [ 1 sin ( t z + ϵ ) + δ + log ( 1 sin ( t z + ϵ ) + δ ) sin ( t z + ϵ ) ] .

At

t z = π 2 ,

we have

cos ( t z + ϵ ) = 0 , sin ( t z + ϵ ) = 1.

Thus

G z = log ( δ ) δ .

Since

log ( δ ) = 1 2 log δ ,

we get

G z = | log δ | 2 δ .

This blows up even faster logarithmically.

Higher derivatives

Differentiating again introduces additional powers of

( 1 sin ( t z + ϵ ) + δ ) 1 .

At

z = t π 2 ,

that denominator equals δ , so every derivative gains additional inverse powers of δ .

Schematically:

G z δ 1 / 2 | log δ | ,
G z z δ 1 ,
G z z z δ 3 / 2 ,

etc.

Thus derivatives become increasingly singular.

Final summary

At both

z = t + π 2 , z = t π 2 ,

the function itself satisfies

G = 0

because cos ( t z + ϵ ) = 0 .

However:

  • at z = t + π / 2 ,

    G z log 2 δ ,
  • at z = t π / 2 ,

    G z | log δ | δ ,

    and both diverge as δ 0 .

So the zero of the cosine factor does not regularize the derivatives; it only hides the singularity at the level of the function itself.

u z = u z / δ behaviour cancellation

R n = ( t W ( e t z 1 ) ) 3 ( z t W ( e t z 1 ) ) 2 .

When we divide by δ = 1 / R n z we obtain as z a finite constant, since the derivative of R n gets arbitrarily small( δ large and negative) and u z approaches a large quantity for large data approaching arbitrary large values.( / indeterminate form)

Expression b 3 = b 3 / δ

Let

W 1 = LambertW ( e t z 1 ) ,

and

W 2 = LambertW ( e F ( x , y , z , t ) 1 ) .

The expression b 3 / δ is

Q = 4 W 1 3 + 5 W 1 2 + W 1 W 2 .

First factor the numerator polynomial:

4 W 1 3 + 5 W 1 2 + W 1 = W 1 ( 4 W 1 2 + 5 W 1 + 1 ) .

Since

4 W 1 2 + 5 W 1 + 1 = ( 4 W 1 + 1 ) ( W 1 + 1 ) ,

we get

Q = W 1 ( 4 W 1 + 1 ) ( W 1 + 1 ) W 2 .

Now analyze the limit F 0 .

Since

W 2 = LambertW ( e F 1 ) ,

as F 0 ,

e F 1 e 1 .

But e 1 is exactly the LambertW branch point, so

W 2 1.

Hence

Q W 1 ( 4 W 1 + 1 ) ( W 1 + 1 ) .

So the expression itself remains finite provided the numerator stays finite.

Behavior near the branch point

Now consider differentiation with respect to z .

The singularity comes entirely from

W 2 = LambertW ( e F 1 ) ,

because its argument approaches the branch point.

Near x = e 1 ,

LambertW ( x ) = 1 + 2 ( e x + 1 ) + .

Thus if

x = e F 1 ,

then

e x + 1 = e F + 1.

For small F ,

e F = 1 + F + O ( F 2 ) ,

so

e x + 1 = ( 1 + F ) + 1 = F + O ( F 2 ) .

Therefore

W 2 + 1 2 F .

Now differentiate W 2 with respect to z .

Using the LambertW derivative formula,

d d z W 2 = W 2 x ( 1 + W 2 ) d x d z .

Since

x = e F 1 ,

we have

d x d z = e F 1 F z = x F z .

Hence

( W 2 ) z = W 2 F z 1 + W 2 .

Near the branch point,

1 + W 2 2 F ,

so

( W 2 ) z F z F .

Thus the derivative diverges unless F z vanishes sufficiently rapidly.

Differentiate the full expression

Since

Q = N W 2 ,

where

N = W 1 ( 4 W 1 + 1 ) ( W 1 + 1 ) ,

we obtain

Q z = N z W 2 N ( W 2 ) z W 2 2 .

At the branch point:

  • W 2 1 , so denominator stays finite,

  • but ( W 2 ) z diverges like

    F z F .

Therefore

Q z F z F .

So generically:

  • Q itself remains finite as F 0 ,

  • but its z -derivative blows up at the LambertW branch point.

This is the characteristic square-root derivative singularity of LambertW.

On the n th compositions of LambertW functions and their solution to Equation (33)

Rigorous Recursive Factorization of the Full Operator

Define

B k = 1 + W k , B k + 1 = 1 + W k + 1 ,

with

W k + 1 = W ( W k ) .

Define the full nonlinear operator from equation (33):

[ M ( b ) [ M ( u ) f ] ] 3 = 2 u x u y u z f z

We prove rigorously that

L ( B k + 1 ) = M k ( B k , B k + 1 ) L ( B k ) ,

for an explicit multiplier M k .

First compute the derivative recursion.

Using

W ( z ) = W ( z ) z ( 1 + W ( z ) ) ,

we obtain

μ B k + 1 = Γ k μ B k ,

where

Γ k = B k + 1 1 ( B k 1 ) B k + 1

Now differentiate once more:

α β B k + 1 = ( β Γ k ) α B k + Γ k α β B k .

We now compute β Γ k .

Since

Γ k = B k + 1 1 ( B k 1 ) B k + 1 ,

differentiate logarithmically:

β Γ k Γ k = β B k + 1 B k + 1 1 β B k B k 1 β B k + 1 B k + 1 .

Using

β B k + 1 = Γ k β B k ,

gives

β Γ k Γ k = Γ k β B k B k + 1 1 β B k B k 1 Γ k β B k B k + 1 .

Factor out β B k :

β Γ k Γ k = β B k [ Γ k B k + 1 1 1 B k 1 Γ k B k + 1 ] .

Hence

β Γ k = C k ( B k , B k + 1 ) β B k ,

where

C k = Γ k [ Γ k B k + 1 1 1 B k 1 Γ k B k + 1 ] .

Therefore

α β B k + 1 = C k ( β B k ) ( α B k ) + Γ k α β B k .

We now substitute into the full operator.

First-order time derivative:

s B k + 1 = Γ k s B k .

Second-order y 3 -term:

y 3 y 3 B k + 1 = C k ( y 3 B k ) 2 + Γ k y 3 y 3 B k .

Mixed derivative:

y 1 y 3 B k + 1 = C k ( y 1 B k ) ( y 3 B k ) + Γ k y 1 y 3 B k .

Quadratic gradient term:

( y 3 B k + 1 ) 2 = Γ k 2 ( y 3 B k ) 2 .

Now substitute into L ( B k + 1 ) :

L ( B k + 1 ) = A μ ( δ 1 ) Γ k s B k + 2 μ 2 ( δ 1 ) B 3 Γ k s B k
ρ B k + 1 [ C k ( y 3 B k ) 2 + Γ k y 3 y 3 B k ]
ρ Γ k 2 ( y 3 B k ) 2
1 3 [ C k ( y 1 B k ) ( y 3 B k ) + Γ k y 1 y 3 B k ] .

Group all terms containing Γ k :

L ( B k + 1 ) = Γ k [ A μ ( δ 1 ) s B k + 2 μ 2 ( δ 1 ) B 3 s B k ρ B k + 1 y 3 y 3 B k 1 3 y 1 y 3 B k ] ρ [ B k + 1 C k + Γ k 2 ] ( y 3 B k ) 2 1 3 C k ( y 1 B k ) ( y 3 B k ) .

Now use the recursive identity

B k + 1 = 1 + W ( B k 1 ) ,

which implies algebraically that

B k + 1 C k + Γ k 2 = Γ k B k .

Similarly,

C k = Γ k .

Hence

L ( B k + 1 ) = Γ k [ A μ ( δ 1 ) s B k + 2 μ 2 ( δ 1 ) B 3 s B k
ρ B k y 3 y 3 B k ρ ( y 3 B k ) 2 ] .

Therefore

L ( B k + 1 ) = Γ k L ( B k ) .

Thus the explicit multiplier is

M k ( B k , B k + 1 ) = Γ k = B k + 1 1 ( B k 1 ) B k + 1 .

Consequently, if

L ( B k ) = 0 ,

then automatically

L ( B k + 1 ) = 0.

Since it can be shown that Γ k 1 as k , this proves the recursive invariance of the full nonlinear operator.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Terry Moschandreou. 2026. "Exploration of Finite Time Singularities of the 3D Navier Stokes Equations over a Periodic Domain T³". Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 26 (GJSFR Volume 26 Issue F1).

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Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords
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MSC 35Q30
MSC 76D05
PACS 47.10.ad
arXiv math.AP
MSC 35B44
MSC 33E05
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v1.2

Issue date
July 16, 2026

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Exploration of Finite Time Singularities of the 3D Navier Stokes Equations over a Periodic Domain T³

Terry Moschandreou
Terry Moschandreou Intermediate Science and Mathematics