Open main menu
Home
Random
Recent changes
Special pages
Community portal
Preferences
About Wikipedia
Disclaimers
Incubator escapee wiki
Search
User menu
Talk
Dark mode
Contributions
Create account
Log in
Editing
Isospectral
(section)
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
{{Short description|Linear operators with a common spectrum}} In [[mathematics]], two [[linear operator]]s are called '''isospectral''' or '''cospectral''' if they have the same [[spectrum of an operator|spectrum]]. Roughly speaking, they are supposed to have the same [[Set (mathematics)|sets]] of [[eigenvalue]]s, when those are counted with [[Multiplicity (mathematics)|multiplicity]]. The theory of isospectral operators is markedly different depending on whether the space is finite or infinite dimensional. In finite-dimensions, one essentially deals with square [[matrix (mathematics)|matrices]]. In infinite dimensions, the spectrum need not consist solely of isolated eigenvalues. However, the case of a [[compact operator]] on a [[Hilbert space]] (or [[Banach space]]) is still tractable, since the eigenvalues are at most countable with at most a single limit point ''Ξ»'' = 0. The most studied isospectral problem in infinite dimensions is that of the [[Laplace operator]] on a domain in '''R'''<sup>2</sup>. Two such domains are called isospectral if their Laplacians are isospectral. The problem of inferring the geometrical properties of a domain from the spectrum of its Laplacian is often known as [[hearing the shape of a drum]].
Edit summary
(Briefly describe your changes)
By publishing changes, you agree to the
Terms of Use
, and you irrevocably agree to release your contribution under the
CC BY-SA 4.0 License
and the
GFDL
. You agree that a hyperlink or URL is sufficient attribution under the Creative Commons license.
Cancel
Editing help
(opens in new window)