Hyperviscous Extension of the Transformed Navier–Stokes system
Let the transformed velocity field be defined through the matrix mapping
where
We consider the hyperviscous extension of the transformed equation corresponding to Eq. (6):
Here
The biharmonic operator acts componentwise:
The Governing PDE for the th flow direction
where is the dynamic viscosity of the fluid. Considering the Ansatz:\
where,\
Coefficient PDE of the Term
The solution given by Maple 2026 is:\
Full PDE Combining the and Contributions
Define
and
The full equation obtained by combining both exponential contributions is,
\
Verification and Reduction of the Nonlinear PDE
We consider the nonlinear PDE associated with coefficient of ,
Ansatz
Define
and
Define also
We use the ansatz
where
Factorization Identity
Using
we compute
Since
we obtain
and therefore
Ignoring additive constants,
Derivatives of
Since
and
we have
Hence
Derivatives of
Since
we obtain
First Derivatives of
Using
we compute
-Derivative
thus
-Derivative
Hence
-Derivative
Thus
Mixed Derivative
Differentiate
with respect to .
Derivative of the Singular Part
Using the quotient rule,
Hence
Derivative of the -Part
We compute
Substitute
Then
The -terms cancel, yielding
Thus
Therefore
Substitution into the PDE
Substituting all derivatives into the PDE produces:
Exact Cancellation
The singular geometric terms cancel identically:
and
Thus all purely trigonometric singular terms vanish.
Reduced Equation
The remaining highest-order rational term is
Since the PDE holds pointwise, the coefficient must vanish:
Therefore
Hence there exists an arbitrary function
such that
Transport Equation
The remaining -terms reduce to
Define
Then
Characteristic solution
Characteristics satisfy
Hence
Therefore
where is arbitrary smooth data.
Since
we obtain
Smooth Initial data Formulation
Suppose the initial condition for the ansatz is prescribed at :
Then
where
Thus smooth initial data determines:
and
The evolved solution is
Final Result
The nonlinear PDE admits the exact family
with
Therefore
is an exact solution family of the PDE. Note here that when (correspondingly than a positive surface and when approaches when LambertW is substituted in for . (recall and so we have the derivative of LambertW solution approaches zero and hence if we rescale the problem since as introduced after Main Theorem 2,( ()). Here will approach a negative non-zero constant as .\
Automatic Smoothness of the Transformed Variable
We consider the exact solution
where
and
with
Define the transformed variable
We prove that smooth initial data for forces the transport functions and to be smooth. In particular, the smoothness of is not assumed independently.
1. Compute the Exact Form of
Define
Then
Hence
Exponentiating,
Therefore
Substituting into the definition of ,
The -factors cancel exactly:
Therefore
This is the crucial hidden structure.
2. Recovering from
Squaring gives
Thus
Consequently, the entire logarithmic singular structure of disappears in the transformed variable .
3. Smooth Initial data
Suppose
with
Then at ,
Thus
where
Since
we obtain
Hence the right-hand side is smooth.
4. Recovering
Differentiate with respect to :
Therefore
Since differentiation preserves smoothness,
Thus smoothness of follows automatically from smoothness of the initial condition .
5. Recovering
Using
solve for :
Using
we obtain
Since:
and
it follows (where the denominator is nonzero) that
Thus smoothness of is also forced by the smoothness of the initial condition.
6. Propagation Along characteristics
The transport equation is
Its solution is
Since:
and the characteristic map
is smooth,
Similarly,
Hence smoothness of implies
7. Final Conclusion
The transformed variable
satisfies the exact identity
Therefore:
Smooth initial data
implies
Differentiation yields
so
Division yields
hence
Consequently,
Thus the smoothness of the transport functions and is not an independent assumption: it follows directly from the smoothness of the transformed initial condition .
\
Nonlinear Coupled Structure with -Dependent Coefficients
We consider the transformed variable
with , .
Define the phase function
1. Derivatives of
We compute
Thus
Multiplying by gives
Hence the fundamental scaling is:
2. Coefficients depending on
Let
Then the full integrand is
Substituting:
3. Leading-order singular structure
Near the critical surface
we obtain the asymptotic form
Since , this becomes
Thus the singularity is now governed by the behavior of as .
4. Lambert structure in and induced behavior
We are given
If , then the argument of is smooth.
However:
The Lambert function has a branch point at ,
Near this point:
Hence:
Higher derivatives satisfy:
so for :
5. Coupling to
Since depend on , we write:
Thus near :
Hence the leading structure becomes:
6. Integral over
Let . Then:
So:
Thus
Hence:
and moreover:
7. Correct interpretation of the singular structure
The correct hierarchy is:
,
,
coefficient is smooth in if are smooth functions of ,
Lambert singularity affects only higher derivatives of , not the leading-order integrability.
Final Conclusion
The full coupled structure satisfies
Here and . The function which is large due to large data comes out in . This coupled structure can be made arbitarily small which is important since, for an arbitrary operator (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
and
then
This follows because a nonnegative function with nonpositive integral must vanish almost everywhere.
Therefore:
The Lambert branchpoint produces singular behavior only in higher derivatives of , not in the leading-order energy-type quantity. The functions and are smooth but is not.
Analysis of the integrand
Consider the velocity field defined by
Assume that along characteristic surfaces
the velocity admits the exponential representation
Hence,
It follows that
In particular,
Structure of the Integrand
In previous sections it was shown that the nonlinear quantity satisfies the scaling relation:
Using the exponential representation of , this implies
Definition of the Integral
Consider the integral over the periodic torus :
Using the above scaling,
Since the integrand is independent of , this reduces to
Evaluation of the One-Dimensional Integral
Compute
Hence,
Therefore,
Asymptotic Regimes
Case 1:
Let , . Then
Since
it follows that
Thus,
If is chosen such that
then
Case 2: with fixed
If is fixed and independent of , then
which diverges as .
Hence,
Verification of the Key Claim
The claim
is consistent with the representation
since
Thus the integrand scales like up to exponential factors, and the suppression of the integral relies entirely on the magnitude of .
Conclusion
- The derivation of the explicit integral in terms of , , and was shown under the stated exponential ansatz. - The decay is valid only if grows sufficiently fast compared to . - If is fixed while , the integral diverges like . - The scaling assumption leading to is consistent with the exponential representation and yields -type suppression.
Analysis of the integral and consistency of the exponential ansatz
Consider the velocity field defined by
together with the exponential representation along characteristic surfaces
On the characteristic hypersurfaces defined by
one obtains the reduced form
Squaring yields the identity
and therefore
Hence the reciprocal structure is
Scaling of the nonlinear integrand
Let
A direct differentiation of
gives
Hence the product satisfies
Using the exponential representation
this becomes
Thus the integrand is of order
modulated by smooth coefficients .
This establishes that the nonlinear integrand is inversely proportional to the amplitude scale .
Evaluation of the torus integral
On the torus (periodic boundary conditions), one obtains the estimate
where depends on bounded derivatives of .
Evaluating,
Thus
Asymptotic regimes
Case
Let , . Then
Hence
If the amplitude scales such that
then
Case
Then
and decay requires exponentially growing .
Consistency of the scaling with expanding tori
The initial condition is
Since , the amplitude of admissible initial data satisfies
Thus, for large tori, the natural scaling is
Substituting into the bound gives
which does not decay.
Therefore, decay of requires nonlocal normalization of initial data. Here would have to be also increasing with forcing a decay of .
Large-data regime.
We consider a family of expanding tori together with initial data satisfying
In this large-data regime, the estimate
implies
and therefore
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)
and a finite time such that the corresponding solution ( due to blowup of as we have shown earlier) satisfies
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
where 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 , rather than merely diverging as .
Physical interpretation
The dependence of on the torus size is unavoidable because:
The energy density is integrated over a domain of volume .
The velocity amplitude is defined via , which explicitly depends on the spatial coordinate .
Increasing increases the maximal admissible magnitude of unless normalization is imposed.
Hence consistency requires one of the following:
depends on (energy scaling regime), or
the PDE is rescaled to fixed-energy per unit volume, or
decay mechanisms enforce sufficiently large to offset domain growth.
Conclusion
The analysis is internally consistent under the assumption that
Under this structure, the torus integral satisfies
and vanishes in the limit only if the initial amplitude scales appropriately with the domain size .
Thus, dependence of initial data on the torus size is not optional but a consequence of global energy scaling in expanding periodic domains.
Lambert Branch Point Scaling and Large Initial Data Suppression
Let
where we have that and are both smooth and consider,
Since
we rewrite:
We analyze this expression near the Lambert branch point.
1. Lambert Branch Point Condition
The real branch point occurs at
Thus we require
Equivalently,
Multiply by :
Hence the branch-point constraint is
or
This is the exact choice placing the argument of at the branch point.
2. Value of at the Branch Point
At
we have
Therefore:
So at the branch point:
Now use
Then:
3. How to Make the Whole Expression Small
We want:
Equivalently:
4. Natural Scaling Choice
Take
with .
Then:
Thus:
Hence:
for every
5. Minimal Decay Choice
Take
Then:
This gives strong decay.
6. Exact Branchpoint-Compatible Choice
Recall:
To simultaneously remain at the branch point and force smallness, define:
Since
this means:
Then:
Consequently:
7. Strongest Stable Choice
The cleanest asymptotic balance is:
Then:
Thus large initial data in drives the entire expression to zero at the Lambert branch point.
8. Branch Expansion Confirmation
Near the branch point:
Hence:
So the Lambert factor remains bounded and asymptotically approaches .
Therefore the dominant asymptotic behavior is entirely controlled by:
Thus:
The Lambert branch singularity does not dominate the leading-order scaling.
Can or be non smooth?
Here it is proven that or is non smooth.
Let
Then the derivative wrt to of\
where are both smooth, and:
is,\
Define
Then the expression becomes
To make this blow up while , the numerator must overcome the factor or the denominator must approach zero faster.
The dominant singular mechanisms are:
,
,
(branch singularity at ),
very large .
The strongest mechanism is usually the branch singularity
Since LambertW has a branch point at
we require
Multiplying by ,
Hence asymptotically,
Therefore
That is,
This forces the LambertW argument toward the branch point , causing
and therefore the denominator collapses.
Now to overcome arbitrarily large , you need the singularity to dominate the factor . Near the branch point,
where
Thus the whole expression behaves roughly like
Therefore you need
Equivalently,
So one suitable asymptotic choice is
with
That is,
This drives the LambertW factor exponentially close to its branch singularity and can make the whole expression diverge even for arbitrarily large .\
Let
and define
Upon taking the derivative wrt to the expression is,
The LambertW branch point occurs at
which corresponds to
Multiplying by ,
Thus
Hence the branch-point profile is
That is,
Now compute :
Since
we get
Substitute this into the numerator.
The coefficient multiplying becomes
Using
observe
But
Therefore
Hence the numerator becomes
Simplifying,
At the branch point,
So the numerator becomes
Expanding,
The terms cancel:
Thus generically the numerator does not vanish.
Meanwhile the denominator contains
At the branch point,
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,
where
Therefore the expression behaves like
which is a square-root singularity.
Thus:
- the expression is generally not , - derivatives blow up at the branch surface, - and unless additional cancellations are imposed, the expression itself diverges at
Consider
with small.
We analyze the two special points:
1. At
Then
so
Hence
Therefore
So the function itself vanishes.
First derivative
Differentiate:
Using product rule:
Now evaluate at
Then
So
Thus
As ,
So:
the function is zero,
but its first derivative blows up.
2. At
Then
so
Now
Therefore
Again the function vanishes.
First derivative there
Using the same formula:
At
we have
Thus
Since
we get
This blows up even faster logarithmically.
Higher derivatives
Differentiating again introduces additional powers of
At
that denominator equals , so every derivative gains additional inverse powers of .
Schematically:
etc.
Thus derivatives become increasingly singular.
Final summary
At both
the function itself satisfies
because .
However:
at ,
at ,
and both diverge as .
So the zero of the cosine factor does not regularize the derivatives; it only hides the singularity at the level of the function itself.
behaviour cancellation
When we divide by we obtain as a finite constant, since the derivative of gets arbitrarily small( large and negative) and approaches a large quantity for large data approaching arbitrary large values.( indeterminate form)
Expression
Let
and
The expression is
First factor the numerator polynomial:
Since
we get
Now analyze the limit .
Since
as ,
But is exactly the LambertW branch point, so
Hence
So the expression itself remains finite provided the numerator stays finite.
Behavior near the branch point
Now consider differentiation with respect to .
The singularity comes entirely from
because its argument approaches the branch point.
Near ,
Thus if
then
For small ,
so
Therefore
Now differentiate with respect to .
Using the LambertW derivative formula,
Since
we have
Hence
Near the branch point,
so
Thus the derivative diverges unless vanishes sufficiently rapidly.
Differentiate the full expression
Since
where
we obtain
At the branch point:
, so denominator stays finite,
but diverges like
Therefore
So generically:
itself remains finite as ,
but its -derivative blows up at the LambertW branch point.
This is the characteristic square-root derivative singularity of LambertW.
On the th compositions of LambertW functions and their solution to Equation (33)
Define
with
Define the full nonlinear operator from equation (33):
We prove rigorously that
for an explicit multiplier .
First compute the derivative recursion.
Using
we obtain
where
Now differentiate once more:
We now compute .
Since
differentiate logarithmically:
Using
gives
Factor out :
Hence
where
Therefore
We now substitute into the full operator.
First-order time derivative:
Second-order -term:
Mixed derivative:
Quadratic gradient term:
Now substitute into :
Group all terms containing :
Now use the recursive identity
which implies algebraically that
Similarly,
Hence
Therefore
Thus the explicit multiplier is
Consequently, if
then automatically
Since it can be shown that as , this proves the recursive invariance of the full nonlinear operator.