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A function that is absolutely monotonic on [,) can be extended to a function that is not only analytic on the real line but is even the restriction of an entire function to the real line. The big Bernshtein theorem : A function f ( x ) {\displaystyle f(x)} that is absolutely monotonic on ( − ∞ , 0 ] {\displaystyle (-\infty ,0]} can be ...
In this formula and in many other places, the falling factorial () in the calculus of finite differences plays the role of in differential calculus. Note for instance the similarity of Δ ( x ) n = n ( x ) n − 1 {\displaystyle \Delta (x)_{n}=n(x)_{n-1}} to d d x x n = n x n − 1 {\displaystyle {\frac {\textrm {d}}{{\textrm {d}}x}}x^{n}=nx^{n ...
The theorem states that if you have an infinite matrix of non-negative real numbers , such that the rows are weakly increasing and each is bounded , where the bounds are summable < then, for each column, the non decreasing column sums , are bounded hence convergent, and the limit of the column sums is equal to the sum of the "limit column ...
A function is unimodal if it is monotonically increasing up to some point (the mode) and then monotonically decreasing. When f {\displaystyle f} is a strictly monotonic function, then f {\displaystyle f} is injective on its domain, and if T {\displaystyle T} is the range of f {\displaystyle f} , then there is an inverse function on T ...
The first-derivative test depends on the "increasing–decreasing test", which is itself ultimately a consequence of the mean value theorem. It is a direct consequence of the way the derivative is defined and its connection to decrease and increase of a function locally, combined with the previous section.
Assume that () is a strictly monotone and divergent sequence (i.e. strictly increasing and approaching +, or strictly decreasing and approaching ) and the following limit exists: lim n → ∞ a n + 1 − a n b n + 1 − b n = l .
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