In the previous chapter we have discussed two results on the weak convergence of random permanents in Theorems 3.4.2 and 3.4.3. The results were proved, in essence, by reducing the analysis of asymptotic behavior of a random per- manent to that of an elementary symmetric polynomial and taking advantage of the general limit theorem for elementary symmetric polynomials of increas- ing order (cf. Theorem 3.3.1). Whereas the advantage of the approach is its conceptual simplicity, we saw that it required overcoming several technical difficulties.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Rights and permissions
Copyright information
© 2008 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
(2008). Weak Convergence of Permanent Processes. In: Symmetric Functionals on Random Matrices and Random Matchings Problems. The IMA Volumes in Mathematics and its Applications, vol 147. Springer, New York, NY. https://doi.org/10.1007/978-0-387-75146-7_4
Download citation
DOI: https://doi.org/10.1007/978-0-387-75146-7_4
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-75145-0
Online ISBN: 978-0-387-75146-7
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)