COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |

University of Cambridge > Talks.cam > Mathematical Physics Seminar > A gauge theoretic approach to Einstein 4-manifolds.

## A gauge theoretic approach to Einstein 4-manifolds.Add to your list(s) Download to your calendar using vCal - Joel Fine
- Tuesday 28 January 2014, 16:00-17:00
- DAMTP, room MR11.
If you have a question about this talk, please contact Dr Maciej Dunajski. I will describe a new way to formulate Einsteinâs equations on 4-manifolds, so that the independent variable is not a Riemannian metric, but instead an SO(3) connection on an auxiliary bundle. The metric is then determined algebraically from the curvature of the connection. (This is reminiscent of the way that Maxwellâs equations can be thought of as equations for a U(1)-connection, whose curvature then gives the electro-magnetic field.) This point of view gives a new action principle for Einstein metrics, discovered by Krasnov, which is seemingly less problematic than the Einstein-Hilber action. It also reveals a link between Einstein 4-manifolds and symplectic manifolds in dimension 6. Finally it leads to some interesting open questions which I hope to have time to discuss. This talk is part of the Mathematical Physics Seminar series. ## This talk is included in these lists:- All CMS events
- All Cavendish Laboratory Seminars
- All Talks (aka the CURE list)
- CMS Events
- CamTalks
- Centre for Health Leadership and Enterprise
- DAMTP info aggregator
- DAMTP, room MR11
- DS list 1
- Featured lists
- Geometry, Integrability and Twistor Theory
- HEP web page aggregator
- ME Seminar
- Mathematical Physics Seminar
- School of Physical Sciences
- Thin Film Magnetic Talks
Note that ex-directory lists are not shown. |
## Other listsVisual rhetoric and modern South Asian history IMS-MRL External Seminar series DNA, Cells and Cancer- A Symposium to Honour Professor Ron Laskey## Other talksTitle TBC Enhancing the Brain and Wellbeing in Health and Disease Neural Networks and Natural Language Processing Biomarkers and novel tools for early detection; general principles and specific examples What has Engineering Design to say about Healthcare Improvement? Brain tumours - demographics, presentation, diagnosis, patient pathways |