Published June 30, 2009
| Version v1
Journal article
The sharp constant in Markov's inequality for the Laguerre weight
Description
We prove that the polynomial of degree n that deviates least from zero in the uniformly weighted metric with Laguerre weight is the extremal polynomial in Markov's inequality for the norm of the kth derivative. Moreover, the corresponding sharp constant does not exceed (8k n ! k !)/((n-k)! (2k)!). For the derivative of a fixed order this bound is asymptotically sharp as n→∞. Bibliography: 20 items.
Availability note (English)
Available from http://dx.doi.org/10.1070/SM2009v200n06ABEH004022Additional details
Identifiers
Publishing Information
- Journal Title
- Sbornik. Mathematics
- Journal Volume
- 200
- Journal Issue
- 6
- Journal Page Range
- p. 887-897
- ISSN
- 1064-5616
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 41046406
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- IMAGES; MARKOV PROCESS; METRICS; POLYNOMIALS; WEIGHT
- Descriptors DEC
- FUNCTIONS; STOCHASTIC PROCESSES