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The Cauchy problem: the Leray projection and local existence
Stating the initial value problem precisely, eliminating the pressure, the mild formulation and what local well-posedness gives.
To prove anything we must say exactly what is being solved. The Cauchy problem for the incompressible Navier-Stokes equations prescribes a divergence-free initial velocity \(\mathbf{u}_0\) and asks for \(\mathbf{u}(\mathbf{x},t)\) and \(p(\mathbf{x},t)\), \(t \ge 0\), with \[ \partial_t\mathbf{u} + (\mathbf{u}\cdot\nabla)\mathbf{u} = -\nabla p + \nu\Delta\mathbf{u}, \quad \nabla\cdot\mathbf{u} = 0, \quad \mathbf{u}(\cdot,0) = \mathbf{u}_0. \] Two settings are standard. On \(\mathbb{R}^3\), the data are smooth and decay rapidly with all their derivatives, and one asks for solutions of finite energy, \(\int|\mathbf{u}(\mathbf{x},t)|^2dx\) bounded. On the torus \(\mathbb{T}^3\) the data and solution are smooth and periodic in each coordinate. A smooth solution means \(\mathbf{u}\) and \(p\) are infinitely differentiable in space and time.
Some growth condition at infinity is essential. With no condition, \(\mathbf{u} = (a(t),0,0)\), \(p = -a'(t)\,x\) solves the equations for any function \(a\) with \(a(0) = 0\), so even zero data has infinitely many solutions: the "fluid" is being pushed by a pressure growing at infinity. Requiring finite energy, or periodicity, rules these out.
The pressure can be removed exactly. Every square-integrable vector field splits uniquely as a divergence-free field plus a gradient (the Helmholtz or Leray decomposition), and the Leray projection \(\mathbb{P}\) keeps the divergence-free part. In Fourier variables it is the matrix \(\widehat{\mathbb{P}\mathbf{f}}(\mathbf{k}) = \left(I - \frac{\mathbf{k}\mathbf{k}^T}{|\mathbf{k}|^2}\right)\hat{\mathbf{f}}(\mathbf{k})\), the orthogonal projection onto the plane perpendicular to \(\mathbf{k}\). Applying \(\mathbb{P}\) kills \(\nabla p\), leaves \(\partial_t\mathbf{u}\) and \(\Delta\mathbf{u}\) alone, and gives \[ \partial_t\mathbf{u} - \nu\Delta\mathbf{u} + \mathbb{P}\,\nabla\cdot(\mathbf{u}\otimes\mathbf{u}) = 0, \] an evolution equation for \(\mathbf{u}\) alone. The pressure is recovered as \(p = (-\Delta)^{-1}\partial_i\partial_j(u_iu_j)\).
Treating the nonlinearity as a forcing of the heat equation gives the mild formulation (Duhamel's principle): \[ \mathbf{u}(t) = e^{\nu t\Delta}\mathbf{u}_0 - \int_0^t e^{\nu(t-s)\Delta}\,\mathbb{P}\nabla\cdot(\mathbf{u}\otimes\mathbf{u})(s)\,ds. \] The heat semigroup multiplies the Fourier mode \(\mathbf{k}\) by \(e^{-\nu|\mathbf{k}|^2t}\), damping high frequencies and gaining derivatives, which pays for the derivative in the nonlinear term. A contraction mapping argument on a short time interval then gives local existence and uniqueness of smooth solutions: Leray (1934) for smooth data, Fujita and Kato (1964) for data in the Sobolev space \(\dot H^{1/2}\), Kato (1984) for data in \(L^3\). The critical spaces \(\dot H^{1/2}\) and \(L^3\) have a bonus: if the data are small enough in them, the solution exists and stays smooth for all time.
For large data, local theory gives a maximal time \(T^*\) and a blow-up alternative: either \(T^* = \infty\) or certain norms become infinite as \(t \to T^*\). Leray showed that a finite \(T^*\) forces \[ \|\nabla\mathbf{u}(t)\|_{L^2} \ge \frac{c\,\nu^{3/4}}{(T^* - t)^{1/4}}. \] Whether \(T^*\) can be finite for smooth finite-energy data in 3D, with no external force, is not known.
Picture it: in Fourier space, at each wavevector \(\mathbf{k}\), the projection throws away the component of the nonlinear forcing along \(\mathbf{k}\), and that discarded component is the pressure. Think it: the problem is a semilinear heat equation on the space of divergence-free fields; local well-posedness is a fixed point theorem, and every global question is about whether the fixed point can be continued forever.
Contoh yang dikerjakan · derivative of exp(-k^2*t) with respect to t
Langkah demi langkah
- \frac{d}{dt}\left[e^{- k^{2} t}\right]
Start from the derivative to compute.
- e^{- k^{2} t} \frac{\partial}{\partial t} \left(- k^{2} t\right)
Chain rule: (eᵘ)′ = eᵘ, times u′ where u = - k^{2} t.
- - k^{2} e^{- k^{2} t} \frac{d}{d t} t
Constant multiple rule: pull the constant out.
- - k^{2} e^{- k^{2} t}
d/dx of x is 1.
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Bagaimana untuk: The Cauchy problem: the Leray projection and local existence
- State the domain (R^3 with decay, or the periodic torus), the data class and what counts as a solution.
- Apply the Leray projection: the pressure gradient disappears and the equation involves u only.
- Write Duhamel's formula and estimate the nonlinear term using the smoothing of the heat semigroup.
- Close a contraction on a short interval; continue the solution until a norm blows up or forever.
Soalan yang orang tanya
Why is the pressure not given initial data?
Because it has no time derivative in the equations. It is determined at each instant by the velocity, through a Poisson equation, so prescribing it separately would over-determine the problem.
What does "critical space" mean here?
A space whose norm is unchanged by the scaling u(x) -> lambda u(lambda x). L^3 and the Sobolev space H^(1/2) are critical in 3D; small data in them give global smooth solutions.
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.
Lebih dalam 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