Bernstein basis 2026-10-05
These nonnegative polynomials form a basis of polynomials of degree at most , and sum to one on . For ,
where ratios for equal one and terms with vanish. The identity follows from and the binomial theorem. It gives explicit basis coefficients using the falling factorial.
Consider on the finite-dimensional vector space and use the monomial basis. For , a binomial distribution and the falling factorial moment formula give
where is the Stirling number of the second kind and . This follows by expanding and using . Also .
Each monomial maps to a polynomial of no larger degree. The resulting matrix is triangular with diagonal entries and , . When and , all entries are positive. Therefore
For constant polynomials the conclusion is immediate. Taking positive indices avoids the undefined sample expression at .
Rising factorial 2026-10-05
For a nonnegative integer , the rising factorial is the product of consecutive increments starting at , with . Another notation is ; the falling factorial uses descending factors. It compactly expresses the coefficient recurrence of a confluent hypergeometric function of the first kind.