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Energy methods: uniqueness, stability and decay
Multiply by the solution and integrate by parts: L² estimates, uniqueness, stability, Poincaré and exponential decay.
An energy method multiplies the equation by the solution (or its time derivative), integrates over space, and integrates by parts to get an identity for the rate of change of a positive quantity. For the heat equation \( u_t = k\,u_{xx} \) on \( (0, L) \) with \( u = 0 \) at both ends: \[ \frac{d}{dt}\,\frac12\int_0^Lu^2\,dx = \int_0^Luu_t\,dx = k\int_0^Luu_{xx}\,dx = -k\int_0^Lu_x^2\,dx \le 0. \] For \( u = e^{-t}\sin x \) on \( (0, \pi) \), \( k = 1 \), the example gives \( \int_0^\pi u^2 = \frac\pi2e^{-2t} \), whose half has derivative \( -\frac\pi2e^{-2t} = -\int_0^\pi u_x^2 \), as it must.
Uniqueness and stability. The difference \( w \) of two solutions with initial data \( f_1, f_2 \) solves the same problem, so \( \int w(x,t)^2\,dx \le \int(f_1 - f_2)^2\,dx \) for all \( t \ge 0 \). Equal data give equal solutions; nearby data (in mean square) give nearby solutions. The same argument proves uniqueness for Poisson's equation (\( \int|\nabla w|^2 = 0 \) forces \( w \) constant, hence zero) and, with \( E = \frac12\int(u_t^2 + c^2u_x^2) \), for the wave equation.
Decay. The Poincaré inequality \( \int_0^Lu^2\,dx \le \frac{L^2}{\pi^2}\int_0^Lu_x^2\,dx \) (for \( u(0) = u(L) = 0 \), with equality for \( \sin(\pi x/L) \)) turns the identity into \( \frac{d}{dt}\int u^2 \le -\frac{2k\pi^2}{L^2}\int u^2 \), and Gronwall's inequality gives \( \int u^2 \le e^{-2k\pi^2t/L^2}\int f^2 \): exponential decay at the rate of the first eigenvalue, with no series used.
Picture it: energy is a ball rolling downhill in the space of all temperature profiles. The identity says it always rolls down; Poincaré says the slope is never gentler than a fixed amount, so it reaches the bottom exponentially fast.
Think it: for Navier-Stokes, multiply by \( u \) and integrate. The pressure term vanishes because \( \nabla\cdot u = 0 \), and so does the nonlinear term, \( \int(u\cdot\nabla)u\cdot u\,dx = \int u\cdot\nabla\big(\tfrac12|u|^2\big)\,dx = 0 \). What is left is the energy inequality \( \frac12\|u(t)\|_{L^2}^2 + \nu\int_0^t\|\nabla u\|_{L^2}^2\,ds \le \frac12\|u_0\|_{L^2}^2 \). It holds for all finite-energy data and all time. Other global bounds can be derived from it, but in three dimensions every such bound is supercritical in the sense of the scaling lesson.
Contoh soal · integrate exp(-2*t)*sin(x)^2 dx from 0 to pi
Integrate e^(-2t)·sin(x)^2 from 0 to pi
Langkah demi langkah
- \int_{0}^{\pi} e^{- 2 t} \sin^{2}{\left(x \right)}\, dx
First find an antiderivative F, then evaluate F(b) − F(a).
- \int e^{- 2 t} \sin^{2}{\left(x \right)}\, dx = e^{- 2 t} \int \sin^{2}{\left(x \right)}\, dx
Pull the constant e^{- 2 t} out of the integral.
- \sin^{2}{\left(x \right)} = \frac{1}{2} - \frac{\cos{\left(2 x \right)}}{2}
Rewrite the integrand into a friendlier form.
- \int \frac{1}{2} - \frac{\cos{\left(2 x \right)}}{2}\, dx = \int \frac{1}{2}\, dx + \int - \frac{\cos{\left(2 x \right)}}{2}\, dx
The integral of a sum is the sum of the integrals.
- \int \frac{1}{2}\, dx = \frac{x}{2}
The integral of a constant c is c·x.
- \int - \frac{\cos{\left(2 x \right)}}{2}\, dx = - \frac{1}{2} \int \cos{\left(2 x \right)}\, dx
Pull the constant - \frac{1}{2} out of the integral.
- u = 2 x,\quad du = 2\, dx
Substitute u = 2 x.
- \int \cos{\left(2 x \right)}\, dx = \int \frac{\cos{\left(u \right)}}{2}\, d_u
Rewrite the integral in terms of u.
- \int \frac{\cos{\left(u \right)}}{2}\, d_u = \frac{1}{2} \int \cos{\left(u \right)}\, d_u
Pull the constant \frac{1}{2} out of the integral.
- \int \cos{\left(u \right)}\, d_u = \sin{\left(u \right)}
Standard trigonometric antiderivative.
- = \frac{\sin{\left(2 x \right)}}{2}
Substitute back u = 2 x.
- F(\pi) - F(0) = \left(\frac{\pi e^{- 2 t}}{2}\right) - \left(0\right)
Fundamental theorem of calculus: plug in the limits.
- = \frac{\pi e^{- 2 t}}{2}
Simplify.
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Bagaimana: Energy methods: uniqueness, stability and decay
- Multiply the equation by u (for dissipation) or u_t (for conserved energy).
- Integrate over the spatial domain and integrate by parts once.
- Use the boundary conditions to kill the boundary terms.
- Read off the sign of each remaining term to get an inequality for d/dt of the energy.
- Close it with Poincaré, Young or Gronwall to get uniqueness, stability or decay.
Pertanyaan yang sering diajukan
Why multiply by u and not something else?
Because u u_t is the time derivative of u²/2 and u u_xx integrates by parts into -u_x², which has a sign. Other multipliers (u_t, x u_x, weights) give other identities, and choosing one is most of the art.
What is Gronwall's inequality?
If y' ≤ a y with a constant (or integrable) a, then y(t) ≤ y(0) e^{at} (or e^{∫a}). Proof: the derivative of y e^{-at} is at most zero.
What should I know before starting?
Partial derivatives, the divergence theorem and multiple integrals from multivariable calculus; linear second-order ODEs; eigenvalues from linear algebra; and enough analysis to be comfortable with uniform convergence and integrals over infinite intervals.
Why are there so few formulas for solutions?
Explicit solutions exist for linear equations with constant coefficients on simple domains. Almost everything else (curved domains, variable coefficients, nonlinear terms) has none, so the modern subject proves that a solution exists and estimates its size and smoothness without ever writing it down.
How does this course lead to the Navier-Stokes problem?
The Navier-Stokes equations are a heat equation for the velocity with a transport term and a pressure that is found from a Poisson equation. Reading the Millennium problem needs energy estimates, weak solutions, Sobolev spaces, local existence with a blow-up criterion, and the scaling argument that explains why three dimensions is hard. The last six lessons build those.
What do elliptic, parabolic and hyperbolic mean?
Elliptic equations (Laplace) describe equilibrium and smooth everything; parabolic equations (heat) describe diffusion forward in time; hyperbolic equations (waves) carry signals at finite speed and keep their sharp edges. The type decides which data make a sensible problem.
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