Conference item icon

Conference item

An information and field theoretic approach to the grand canonical ensemble

Abstract:

We present a novel derivation of the constraints required to obtain the underlying principles of statistical mechanics using a maximum entropy framework. We derive the mean value constraints by use of the central limit theorem and the scaling properties of Lagrange multipliers. We then arrive at the same result using a quantum free field theory and the Ward identities. The work provides a principled footing for maximum entropy methods in statistical physics, adding the body of work aligned to...

Expand abstract
Publication status:
Accepted

Actions


Authors


More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Publisher:
Springer Publisher's website
Host title:
Maximum Entropy Methods in Science and Engineering: 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, July, 09-14, 2017 – Paradies Resort Hotel – Jarinu/SP – Brazil
Journal:
Maximum Entropy Methods in Science and Engineering: 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, July, 09-14, 2017 – Paradies Resort Hotel – Jarinu/SP – Brazil Journal website
Publication date:
2018-01-01
Acceptance date:
2016-12-29
Pubs id:
pubs:824051
UUID:
uuid:886f62ef-789f-4d72-b6fb-ee99a8199f23
Local pid:
pubs:824051
Source identifiers:
824051
Deposit date:
2018-02-12

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP