A probabilistic approach to some binomial identities
Christophe Vignat, Victor H. Moll

TL;DR
This paper introduces a probabilistic framework to derive classical binomial identities, including Vandermonde's identity and its generalizations, providing new insights into their combinatorial structure.
Contribution
It presents a novel probabilistic approach to prove binomial identities, extending classical results with a unified method.
Findings
Probabilistic interpretations simplify proofs of binomial identities
Generalizations of Vandermonde identity are established
New connections between probability and combinatorics are demonstrated
Abstract
Classical binomial identities are established by giving probabilistic interpretations to the summands. The examples include Vandermonde identity and some generalizations.
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Taxonomy
TopicsAdvanced Combinatorial Mathematics · Algorithms and Data Compression · graph theory and CDMA systems
