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Math 6410 • ODE

Fall 2008 • Question 9

  1. Show that if the real symmetric matrix \(A\) has real eigenvalues \(\lambda _i\) and orthogonal eigenvectors \(\mathbf {x}_i\), then for any vector \(\mathbf {y}=\sum _i c_i\mathbf {x}_i\), the smallest eigenvalue satisfies \[ \lambda _0\le \frac {\mathbf {y}^TA\mathbf {y}}{\mathbf {y}^T\mathbf {y}}. \]
  2. Show that the eigenfunctions \(\phi \) and eigenvalues \(-\lambda \) of the problem \[ \nabla ^2\phi +\lambda \phi =0\quad \text {in a region }D, \] with \[ \frac {\partial \phi }{\partial n}+\alpha \phi =0\quad \text {on }\partial D, \] where \(\partial /\partial n\) is the outward normal derivative, satisfy \[ \lambda \int _D \phi ^2d x =\int _D \lvert \nabla \phi \rvert ^2d x+\alpha \int _{\partial D}\phi ^2d s. \] Assuming that the eigenfunctions \(\phi \) form a complete orthonormal set, derive an upper bound for the smallest eigenvalue in terms of an appropriate energy integral (Rayleigh quotient).

Raw LaTeX

\begin{enumerate}
\item[(a)] Show that if the real symmetric matrix \(A\) has real eigenvalues
\(\lambda_i\) and orthogonal eigenvectors \(\mathbf{x}_i\), then for any vector
\(\mathbf{y}=\sum_i c_i\mathbf{x}_i\), the smallest eigenvalue satisfies
\[
  \lambda_0\le\frac{\mathbf{y}^TA\mathbf{y}}{\mathbf{y}^T\mathbf{y}}.
\]

\item[(b)] Show that the eigenfunctions \(\phi\) and eigenvalues \(-\lambda\) of the problem
\[
  \nabla^2\phi+\lambda\phi=0\quad\text{in a region }D,
\]
with
\[
  \frac{\partial\phi}{\partial n}+\alpha\phi=0\quad\text{on }\partial D,
\]
where \(\partial/\partial n\) is the outward normal derivative, satisfy
\[
  \lambda\int_D \phi^2\dd x
  =\int_D \lvert\nabla\phi\rvert^2\dd x+\alpha\int_{\partial D}\phi^2\dd s.
\]
Assuming that the eigenfunctions \(\phi\) form a complete orthonormal set, derive an
upper bound for the smallest eigenvalue in terms of an appropriate energy integral
(Rayleigh quotient).
\end{enumerate}