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Regularity criteria: Ladyzhenskaya-Prodi-Serrin and Beale-Kato-Majda
Conditions that force a weak solution to be smooth, why the exponents are exactly the scale-invariant ones, and what a blow-up would have to do.
A conditional regularity result says: if a solution has some extra property, then it is smooth. These criteria are both tools and constraints, because any singularity must violate all of them.
The Ladyzhenskaya-Prodi-Serrin criterion (Prodi 1959, Serrin 1962, Ladyzhenskaya 1967). Let \(\mathbf{u}\) be a Leray-Hopf weak solution on \(\mathbb{R}^3\times(0,T)\). If \[ \mathbf{u} \in L^p(0,T;L^q(\mathbb{R}^3)), \qquad \frac{2}{p} + \frac{3}{q} \le 1, \qquad 3 \lt q \le \infty, \] then \(\mathbf{u}\) is smooth on \(\mathbb{R}^3\times(0,T]\) and unique. For \(q = 4\) the condition is \(p \ge 8\); for \(q = \infty\) it is \(p \ge 2\). The endpoint \(q = 3\), \(p = \infty\) is much harder and was proved by Escauriaza, Seregin and Šverák (2003) using backward uniqueness for parabolic equations; Seregin (2012) went further and showed that at a first blow-up time \(\|\mathbf{u}(t)\|_{L^3} \to \infty\).
Why these exponents? Under the scaling \(\mathbf{u}_\lambda = \lambda\mathbf{u}(\lambda\mathbf{x},\lambda^2t)\), \[ \|\mathbf{u}_\lambda\|_{L^p_tL^q_x} = \lambda^{1 - 2/p - 3/q}\,\|\mathbf{u}\|_{L^p_tL^q_x}, \] so equality in \(\frac2p + \frac3q = 1\) is exactly scale invariance. The proof shows where it enters. Testing the equation with \(-\Delta\mathbf{u}\) gives \(\frac12\frac{d}{dt}\|\nabla\mathbf{u}\|^2 + \nu\|\Delta\mathbf{u}\|^2 \le \int|\mathbf{u}||\nabla\mathbf{u}||\Delta\mathbf{u}|\). Hölder's inequality bounds the right side by \(\|\mathbf{u}\|_{L^q}\|\nabla\mathbf{u}\|_{L^{2q/(q-2)}}\|\Delta\mathbf{u}\|_{L^2}\), interpolation gives \(\|\nabla\mathbf{u}\|_{L^{2q/(q-2)}} \le C\|\nabla\mathbf{u}\|^{1-3/q}\|\Delta\mathbf{u}\|^{3/q}\), and Young's inequality absorbs \(\|\Delta\mathbf{u}\|\) into the left side, leaving \[ \frac{d}{dt}\|\nabla\mathbf{u}\|^2_{L^2} \le C_\nu\,\|\mathbf{u}\|^p_{L^q}\,\|\nabla\mathbf{u}\|^2_{L^2}, \qquad p = \frac{2q}{q-3}. \] Grönwall's inequality then bounds \(\|\nabla\mathbf{u}(t)\|^2\) by \(\|\nabla\mathbf{u}_0\|^2\exp\bigl(C_\nu\int_0^t\|\mathbf{u}\|^p_{L^q}\bigr)\), finite under the hypothesis, and higher derivatives follow.
The Beale-Kato-Majda criterion (1984) controls blow-up through vorticity. If a smooth solution of the 3D Euler equations exists on \([0,T^*)\) and cannot be continued past \(T^*\), then \[ \int_0^{T^*}\|\boldsymbol{\omega}(t)\|_{L^\infty}\,dt = \infty, \] and the same holds for Navier-Stokes. So vorticity must blow up, and fast: a rate \(\|\boldsymbol{\omega}(t)\|_\infty \sim (T^*-t)^{-\alpha}\) is only possible with \(\alpha \ge 1\), the rate the scaling predicts, since \(\boldsymbol{\omega}_\lambda\) carries a factor \(\lambda^2\) and time a factor \(\lambda^{-2}\). The proof uses a logarithmic Sobolev inequality to bound \(\|\nabla\mathbf{u}\|_\infty\) by \(\|\boldsymbol{\omega}\|_\infty\) up to a log of a higher norm. Combined with the 2D fact that \(\|\omega\|_\infty\) never grows, BKM gives another proof that 2D solutions stay smooth. Constantin and Fefferman (1993) showed for Navier-Stokes that the direction of vorticity matters too: if it varies in a Lipschitz way where vorticity is large, the solution stays smooth.
Picture it: a list of alarms, each wired to a scale-invariant quantity; a singularity, if one exists, must set off every alarm at once. Think it: the sharpest criteria sit at critical scaling, and every known a priori bound for general data sits strictly below it. A proof of global regularity would need a bound at the critical level; a construction of blow-up would need to defeat all the criteria simultaneously.
مثال · solve 2/p + 3/4 = 1
قدم ب قدم
- \frac{3}{4} + \frac{2}{p} = 1
Start from the equation as given.
- 8 - p = 0,\quad 4 p \neq 0
Multiply through by the common denominator, then solve the resulting polynomial. Exclude values that make a denominator 0.
- p = 8
Solve for the variable.
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کیسے: Regularity criteria: Ladyzhenskaya-Prodi-Serrin and Beale-Kato-Majda
- Identify the norm in the hypothesis and write its space-time exponents p and q.
- Check the Serrin condition 2/p + 3/q <= 1 with 3 < q (or the endpoint L^infinity L^3).
- For vorticity, test whether the time integral of the sup norm is finite up to the suspected blow-up time.
- Check scaling: a genuine criterion should be invariant under u -> lambda u(lambda x, lambda^2 t).
سوالات لوگ پوچھتے ہیں
Do these criteria prove that singularities do not exist?
No. They say what a singularity would have to look like. Nobody has shown that a general solution satisfies any of the hypotheses.
Why L^infinity of vorticity and not of velocity?
Vorticity is what the stretching term amplifies and what controls the velocity gradient, which in turn controls how fast particles separate. The criterion with the velocity itself, L^2 in time with values in L^infinity, is the q = infinity case of Serrin.
What do I need before starting fluid dynamics?
Multivariable calculus (divergence, curl, the divergence and Stokes theorems), linear algebra (symmetric matrices and eigenvalues) and partial differential equations (the heat and Laplace equations). The last lessons also use Sobolev spaces, which are introduced where they are needed.
What are the Navier-Stokes equations in one sentence?
Newton's second law for each particle of a viscous incompressible fluid: acceleration equals the pressure force plus viscous diffusion of momentum, with the constraint that the velocity field is divergence-free.
Why is two-dimensional flow easier than three-dimensional flow?
In 2D the vorticity is a scalar that is only carried and diffused, so its maximum never grows; in 3D vortex lines can be stretched, which amplifies vorticity, and no known bound rules out unlimited growth.
Is this course physics or mathematics?
Both, in order. The first half derives the equations from physical principles and solves classical flows; the second half treats the equations as mathematical objects and studies which of their properties can be proved.
میں زیادہ Fluid Dynamics
The continuum hypothesis and fieldsEulerian and Lagrangian descriptions, the material derivativeKinematics: streamlines, pathlines and streaklinesConservation of mass, the continuity equation and incompressibilityThe stream function and two-dimensional incompressible flowVorticity, circulation and Kelvin's circulation theoremThe stress tensor and Cauchy's momentum equationHydrostatics and pressureThe Euler equations and Bernoulli's theoremPotential flow and the Laplace equationViscosity, Newtonian fluids and the Navier-Stokes equationsExact solutions: Couette, Poiseuille and Stokes' first problemDimensional analysis, the Reynolds number and the scaling symmetryStokes flow at low Reynolds number