Stefan Bergman Prize
The Bergman Prize honors the memory of Stefan Bergman, best known for his research in several complex variables, as well as the Bergman projection and the Bergman kernel function that bear his name. Awards are made every year or two in: 1) the theory of the kernel function and its applications in real and complex analysis; or 2) function-theoretic methods in the theory of partial differential equations of elliptic type with attention to Bergman's operator method.
History of the Prize
A native of Poland, Bergman (pictured) taught at Stanford University for many years and died in 1977 at the age of 82. He was an AMS member for 35 years. When his wife died, the terms of her will stipulated that funds should go toward a special prize in her husband's honor. The AMS was asked by the Wells Fargo Bank of California, the managers of the Bergman Trust, to assemble a committee to select recipients of the prize. In addition the Society assisted Wells Fargo in interpreting the terms of the will to assure sufficient breadth in the mathematical areas in which the prize may be given.
Nominations with supporting information should be submitted using the online form available here: www.ams.org/profession/prizes-awards/nominations. Include a short description of the work that is the basis of the nomination, including complete bibliographic citations. A brief curriculum vitae for the nominee should be included. Those who prefer to submit by postal mail may send nominations to the AMS Secretary, Carla Savage, Box 8206, Computer Science Department, North Carolina State University, Raleigh, NC 27695-8206. The nominations will be forwarded by the Secretary to the prize selection committee, which will make the final decision on the awarding of the prize.
Most Recent Recipients
The 2013 Bergman Prize recipients are Xiaojun Huang of Rutgers University and Steve Zelditch of Northwestern University. Huang is recognized for his innovative and influential contributions to CR geometry while Zelditch is recognized for his ever expanding the horizon of applications of the Bergman kernel.
See previous prizes
Photo by Paul Halmos.