Mathematics occupies a core intellectual position at NISER, an institution that is striving to be recognized as a Center of Excellence in science education and research in basic sciences.The School of Mathematics was established as a core department of the NISER along with other three Schools from the very beginning of NISER in 2007. It is growing rapidly and is now functioning in full swing. Currently, the school offers masters programme (5yr integrated) [syllabus] in Mathematics along with Ph. D. programme [Syllabus].
Appllications are invited from indian nationals for admission into PhD program in Mathematics who have qualified atleast one of these national level examinations i.e. CSIR-UGC-NET (LS or JRF)/ GATE/ NBHM* or any other equivalent national level examination valid for the academic year 2020-2021.
* A student will be consider to be qualified in national level written examination conducted by NBHM if he/she has recevied call letter from NBHM to appere in the interview for PhD fellowship (irrespective of getting selected for NBHM PhD Fellowship 2020 or not).
Special lectures:Few special lectures will be given by eminent mathematicians.
Financial Support: All participants will be reimbursed sleeper class train fare via the shortest route from their place of stay. The institute will take care of local hospitality.
Date/Time: Wednesday, July 1, 2020 - 16:00 to 17:00
Venue: Conference Room, School of Mathematical Sciences
Speaker: Dr. Anup Kumar Singh, IISER Berhampur
Title: Representation formulas for certain quadratic forms and a problem of constructing lifting maps between spaces of modular forms.
In this talk, we shall discuss the theta series associated with positive definite integral quadratic forms and some of its applications in getting formulas for the number of representations of positive integers by quadratic forms, using the theory of modular forms. The second part of this talk...
Venue: Conference Room, School of Mathematical Sciences
Speaker: Dr. Ranjan Kumar Das, IIT Guwahati
Title: Solving rational eigenvalue problems through strong linearizations.
Rational matrices G(x) arise in many applications such as in vibration analysis of machines, buildings, and vehicles, in control theory and linear systems theory and as approximate solutions of other nonlinear eigenvalue problems. The spectral data (poles, zeros, eigenvalues, eigenvectors,...
