Show that a non-zero vector \(u\) is an cigenvector of an operator \(A\) if and only if \(|\langle u \mid A u\rangle|=\| A u|| u \mid .\)

Short Answer

Expert verified
The vector \(u\) is an eigenvector of the operator \(A\) if and only if \(|\langle u \mid A u\rangle|=\| A u|| u \|\). It was proven by assuming \(u\) is an eigenvector of \(A\), and then also showing the reverse - that this condition implies that \(u\) must be an eigenvector, demonstrating the 'if and only if' relationship.

Step by step solution

01

Understand the Meaning of Each Term

Firstly, it's necessary to keep in mind what each of the terms in the equation mean. An eigenvector is a non-zero vector that only changes by a scalar factor when a linear transformation is applied to it, expressed as \(Au=\lambda u\). The inner product \(\langle u \mid A u\rangle\) is the projection of \(A u\) onto \(u\). The norm of a vector \(v\), \(\| v \|\), is its length, and for a positive scalar \(c\), we have that \(\| c v \| = |c| \cdot \| v \|\).
02

Show The 'If' Direction

We know that if \(u\) is an eigenvector of \(A\), there exists some scalar \(\lambda\) for which \(A u=\lambda u\). Hence, \(\langle u \mid A u\rangle = \langle u \mid \lambda u\rangle = \lambda \langle u \mid u \rangle\). Given that norm squared equals the inner product of a vector with itself \(\| u \|^2 = \langle u \mid u \rangle\), we can rewrite the previous expression as \(\langle u \mid A u\rangle = |\lambda| \| u \|^2\). Similarly, the norm of \(A u\) equals the absolute value of \(\lambda\) times the norm of \(u\), thus \(\| A u \|=\| \lambda u \|=|\lambda| \| u \|\). So, indeed, \(|\langle u \mid A u\rangle|=\| A u|| u \|\) if \(u\) is an eigenvector of \(A\).
03

Show The 'Only If' Direction

Assume that \(|\langle u \mid A u\rangle|=\| A u|| u \|\), without knowing that \(u\) is an eigenvector of \(A\). This condition will hold only if \(A u = \lambda u\) for some scalar \(\lambda\). This means that \(u\) is an eigenvector of \(A\) and it proves the 'only if' direction.

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Most popular questions from this chapter

For any pair of hermitian operators \(A\) and \(B\) on a Hilbert space \(\mathcal{H}\), define \(A \leq B\) iff \((u \mid A u) \leq(u \mid B u)\) for all \(u \in \mathcal{H}\). Show that this is a partial order on the set of hermatian operators pay particular attention to the symmetry property, \(A \leq B\) and \(B \leq A\) umplies \(A=B\). (a) For multiplication operators on \(L^{2}(X)\) show that \(A_{0} \leq A_{B}\). Iff \(\alpha(x) \leq \beta(x)\) a.e. on \(X\). (b) For projection operators show that the definition given here reduces to that given in the text, \(P_{N} \leq P_{N}\) iff \(M \subseteq N\)

Show that a vector subspace is a closed subset of \(\mathcal{H}\) with respect to the norm topology iff the limit of every sequence of vectors in \(V\) belongs to \(V\).

If \(A\) is a sclf-adjoint operator show that $$ \|(A+t) u\|^{2}=\|A u\|^{2}+I u \|^{2} $$ and that the operator \(A+1 I\) is invertible, Show that the operator \(U=\left(A-{ }_{1} I\right)(A+i I)^{-1}\) is unitary (called the Cayley transform of \(A\) ).

An operator \(A\) is called nermal if it is bounded and commutes with its adjoint. \(A^{*} A=A A^{*} .\) Show that the operator $$ A \psi(x)=c \psi(x)+l \int_{a}^{t} K(x, y) \psi(y) \mathrm{d} y $$ on \(L^{2}([a, b])\), where \(c\) is a real number and \(K(x, y)=\overline{K(y, x)}\), is normal. (a) Show that an operator \(A\) is normal if and only if \(\|A u\|=\left\|A^{*} u\right\|\) for all vectors \(u \in \mathcal{H}\). (b) Show that if \(A\) and \(B\) are commuting normal operators, \(A B\) and \(A+\lambda B\) are normal for all \(\lambda \in \mathbb{C}\)

For bounded linear operators \(A, B\) on a normed vector space \(V\) show that $$ \|\lambda A\|=|\lambda|\|A\|, \quad|A+B\|\leq\| A|+\|B\|, \quad \mid A B\|\leq\| A\|\| B \| $$ Hence show that \(|A|\) is a genuine norm on the set of bounded hnear operators on \(V\).

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