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 > Algebra and Representation Theory Seminar > Generalizations of self-reciprocal polynomials

## Generalizations of self-reciprocal polynomialsAdd to your list(s) Download to your calendar using vCal - Sandro Mattarei (Lincoln)
- Wednesday 24 May 2017, 16:30-17:30
- MR12.
If you have a question about this talk, please contact Christopher Brookes. A univariate polynomial with non-constant term is called self-reciprocal if its sequence of coefficients reads the same backwards. A formula is known for the number of monic irreducible self-reciprocal polynomials of a given degree over a finite field. Every self-reciprocal polynomial of even degree 2n over a field can be written as the product of the nth power of x and a polynomial of degree n in x + 1/x. We study the problem of counting the irreducible polynomials over a finite field that are a product of the nth power of h(x) and a polynomial of degree n in the rational expression g(x)/h(x). This talk is part of the Algebra and Representation Theory Seminar series. ## This talk is included in these lists:- Algebra and Representation Theory Seminar
- All CMS events
- All Talks (aka the CURE list)
- CMS Events
- DPMMS Lists
- DPMMS Pure Maths Seminar
- DPMMS info aggregator
- DPMMS lists
- MR12
- School of Physical Sciences
Note that ex-directory lists are not shown. |
## Other listsImmunology in Pathology Cambridge Zero Carbon Society Type the title of a new list here## Other talksSt Catharine’s Political Economy Seminar - ‘Bank Credit Rating Changes, Capital Structure Adjustments and Lending’ by Claudia Girardone Intelligent Self-Driving Vehicles The potential of the non-state sector:what can be learnt from the PEAS example Internal Displacement in Cyprus and childhood: The view from genetic social psychology 160 years of occupational structure: Late Imperial China and its regions Replication or exploration? Sequential design for stochastic simulation experiments |