100% satisfaction guarantee Immediately available after payment Both online and in PDF No strings attached 4.2 TrustPilot
logo-home
Class notes

Linear response theory

Rating
-
Sold
-
Pages
4
Uploaded on
03-08-2023
Written in
2022/2023

Providing methods to use the known past behaviour of a stochastic process in order to predict its response to a perturbation

Institution
Course








Whoops! We can’t load your doc right now. Try again or contact support.

Written for

Institution
Study
Unknown
Course

Document information

Uploaded on
August 3, 2023
Number of pages
4
Written in
2022/2023
Type
Class notes
Professor(s)
Gavin esler
Contains
All classes

Subjects

Content preview

Linearresponsetheory
A DIE IE at E IE dBt IE EIR
perturbed P DIE KCIE EE IE t http XI die Occers

Define an observable gex

Reigle ECgCIE g IE
P mightbe a climatemodel
It is thestatevectore IR n large
gift couldbethe meansurfacetemp
E could be a perturbationdueto a violent eruptiongreenhousegasemissionsunspots etc
ASSUMPTIONS
1 x has a smooth invariantDensity psix polydefining unperturbedclimate
2 Xt has a TRANSITIONDENSITY pics tly t defining thepolyof IE given Is y
3 Xt satisfies the ERGODICPROPERTY longtimeaveragesandexpectations are equivalent

tiny 7Itg IE at Ecg IE seediscussionin notes


4 Theforcefunction FCI E in CP is SEPARABLE

FCI E L.CIget
structurestimestructure
spatial


DEFINITION
Let Xt Ye be stochasticprocesses The CORRELATIONFunction is defined to be
Cxyets ElXtYs

Applyto Xt Xe C Ii
Ye d XE
Then Cadets ECCCAE ICID
cat dex observables of x
A is autonomous timelag property
Cad C ace ECC IE d CI E Es


Infactdlypcty dealy
jointpayof CIE and Ii
By definitionofconditional probability peay piece.tlye psly polyversionof PlanB PAlBPCB
PickElyo is transitiondensity
Correlation function density
for IE given Ii y


Cad t fnf.ccDdly Picx.tly.opslyelxdy
$7.56
Get access to the full document:

100% satisfaction guarantee
Immediately available after payment
Both online and in PDF
No strings attached

Get to know the seller
Seller avatar
eleonoraagostinelli

Also available in package deal

Get to know the seller

Seller avatar
eleonoraagostinelli Oxford University
Follow You need to be logged in order to follow users or courses
Sold
2
Member since
2 year
Number of followers
1
Documents
9
Last sold
8 months ago

0.0

0 reviews

5
0
4
0
3
0
2
0
1
0

Recently viewed by you

Why students choose Stuvia

Created by fellow students, verified by reviews

Quality you can trust: written by students who passed their tests and reviewed by others who've used these notes.

Didn't get what you expected? Choose another document

No worries! You can instantly pick a different document that better fits what you're looking for.

Pay as you like, start learning right away

No subscription, no commitments. Pay the way you're used to via credit card and download your PDF document instantly.

Student with book image

“Bought, downloaded, and aced it. It really can be that simple.”

Alisha Student

Frequently asked questions