Understanding the Spectrum of a Linear Operator

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Discussion Overview

The discussion centers around the concept of the spectrum of a linear operator, particularly in the context of functional analysis. Participants explore definitions, implications of eigenvalues, and specific examples of linear operators, including bounded and unbounded cases.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Some participants define the spectrum of a linear operator as the set of all possible eigenvalues, noting that if zero is in the spectrum, the operator is not invertible.
  • One participant provides a formal definition of the spectrum and discusses the relationship between eigenvalues and injectivity of the operator.
  • Another participant distinguishes between the spectrum and the point spectrum, indicating that not all elements of the spectrum are eigenvalues.
  • Examples are discussed, including the operator defined by \( (Af)(x) = \sin x f(x) \), which is bounded but has no eigenvalues, leading to an empty spectrum.
  • Conversely, the operator defined by \( (Af)(x) = e^x f(x) \) is unbounded, suggesting that all numbers are in its spectrum.
  • There is a challenge regarding the interpretation of eigenvalues, particularly concerning the condition for zero being an eigenvalue and the implications for injectivity and invertibility.

Areas of Agreement / Disagreement

Participants express differing views on the implications of injectivity for invertibility and the conditions under which zero can be considered an eigenvalue. The discussion remains unresolved regarding the precise nature of the spectrum in relation to specific examples.

Contextual Notes

Some participants highlight the need for clarity in definitions and the distinction between the spectrum and point spectrum, indicating that assumptions about boundedness and injectivity may affect interpretations.

member 428835
Hi PF!

What is meant by the spectrum of a linear operator ##A##? I read somewhere that if ##0## belongs in the spectrum, then ##A## is not invertible. Can anyone finesse this for me?

I read the wikipedia page, but this was tough for me to understand. Perhaps illustrating with a simple example, say ##(Af)(x) = \sin x f(x)##, or ##(Af)(x) = e^x f(x)## or really anything that's easy to understand.
 
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The spectrum of a linear operator ##A:V \to W## between ##\mathbb{F}##-vector spaces (in most cases ##\mathbb{F} \in \{\mathbb{R}, \mathbb{C}\})## is the set of all possible eigenvalues of ##A##. Put concretely

$$\operatorname{spec}(A) := \{\lambda \in \mathbb{F}\mid \exists x \in V \setminus \{0\}: Ax = \lambda x\}$$

Now,

##A## has eigenvalue ##0##
##\iff \exists x \neq 0: Ax = 0x = 0##
##\iff \ker A \neq 0##
##\iff A## is non-injective

thus an operator is not injective if and only if ##0## belongs to the spectrum.
 
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Maybe this is of more help: https://www.physicsforums.com/insights/hilbert-spaces-relatives-part-ii/
However, a precise definition is a bit more than just saying: The spectrum are the eigenvalues. One has to distinguish the spectrum of an operator and its point spectrum which are the eigenvalues. E.g. (the closure of) the Dirac operator of the free electron has a spectrum ##(-\infty,-1] \cup [1,\infty)## but no eigenvalues.

A number is in the spectrum of an operator ##\lambda\in \sigma(T)## if the operator ##\lambda−T## is either not invertible or unbounded.

Your first example ##A(f(x))=\sin x f(x)## is bounded, but has no eigenvalues, so ##\lambda - A## must be invertible: ##(\lambda -A)^{-1} (f(x)) := \dfrac{f(x)}{\lambda - \sin x}##, and the spectrum is empty.

Your second example is unbounded, and so are ##\lambda -A## for all ##\lambda##. In this case all numbers are in the spectrum.

A non trivial example is the one I mentioned above, a simple one is ##A(f) = cf## with a spectrum ##\{\,c\,\}##.
 
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Math_QED said:
Now,

##A## has eigenvalue ##0##
##\iff \exists x \neq 0: Ax = 0x = 0##
##\iff \ker A \neq 0##
##\iff A## is non-injective

thus an operator is not injective if and only if ##0## belongs to the spectrum.
So you're talking about an operator being injective, which is only a necessary condition for invertibility, right? I don't see how a matrix ##A## being injective implies anything about invertibility.

Also, does ##A## have ##0## as an eigenvalue? In the first example we have ##(\lambda - \sin x)f(x) = 0## and ##\lambda = 0 \implies -\sin x f(x) = 0 \implies f(x) = 0##, which seems wrong.
 
joshmccraney said:
So you're talking about an operator being injective, which is only a necessary condition for invertibility, right? I don't see how a matrix ##A## being injective implies anything about invertibility.
I guess @Math_QED talked only about the point spectrum. This is a subset of the spectrum. All eigenvalues are in the spectrum, but not the other way around.
Also, does ##A## have ##0## as an eigenvalue? In the first example we have ##(\lambda - \sin x)f(x) = 0## and ##\lambda = 0 \implies -\sin x f(x) = 0 \implies f(x) = 0##, which seems wrong.
It is wrong. An eigenvalue zero requires an eigenvector unequal zero. The spectrum is empty in this case.
 
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Thanks!
 

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