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In physical terms, the divergence of a vector field is the extent to which the vector field flux behaves like a source or a sink at a given point. It is a local measure of its "outgoingness" – the extent to which there are more of the field vectors exiting from an infinitesimal region of space than entering it.
One way to prove divergence is to compare the harmonic series with another divergent series, where each denominator is replaced with the next-largest power of two: + + + + + + + + + + + + + + + + + + Grouping equal terms shows that the second series diverges (because every grouping of convergent series is only convergent ...
The Maclaurin series of the logarithm function (+) is conditionally convergent for x = 1 (see the Mercator series). The Riemann series theorem states that if a series converges conditionally, it is possible to rearrange the terms of the series in such a way that the series converges to any value, or even diverges.
As the name implies, the divergence is a (local) measure of the degree to which vectors in the field diverge. The divergence of a tensor field of non-zero order k is written as =, a contraction of a tensor field of order k − 1. Specifically, the divergence of a vector is a scalar.
A summation method is regular if, whenever the sequence s converges to x, A(s) = x. Equivalently, the corresponding series-summation method evaluates A Σ (a) = x. Linearity. A is linear if it is a linear functional on the sequences where it is defined, so that A(k r + s) = k A(r) + A(s) for sequences r, s and a real or complex scalar k.
If r < 1, then the series converges absolutely. If r > 1, then the series diverges. If r = 1, the root test is inconclusive, and the series may converge or diverge. The root test is stronger than the ratio test: whenever the ratio test determines the convergence or divergence of an infinite series, the root test does too, but not conversely. [1]
For a positive integer x, let M x denote the set of those n in {1, 2, ..., x} which are not divisible by any prime greater than p k (or equivalently all n ≤ x which are a product of powers of primes p i ≤ p k). We will now derive an upper and a lower estimate for | M x |, the number of elements in M x.
In vector calculus, the divergence theorem, also known as Gauss's theorem or Ostrogradsky's theorem, [1] is a theorem relating the flux of a vector field through a closed surface to the divergence of the field in the volume enclosed.