The p-series test is a straightforward and widely used test for determining the convergence or divergence of series in the form \( \sum_{{n=1}}^{{\text{∞}}} \frac{{1}}{{n^p}} \).
According to the p-series test, the series converges if the exponent \( p \) is greater than 1 and diverges if \( p \leq 1 \). For instance:
- If \( p = 2 \), the series \( \sum_{{n=1}}^{{\text{∞}}} \frac{{1}}{{n^2}} \) converges.
- If \( p = 0.5 \), the series \( \sum_{{n=1}}^{{\text{∞}}} \frac{{1}}{{n^{0.5}}} \) diverges.
In the given series example, we have \( \sum_{{n=1}}^{{\text{∞}}} \frac{{1}}{{n^{\text{{ln}} 3}}} \). Here, \( p = \text{{ln}} 3 \), which is approximately 1.0986. Since this value is greater than 1, the series converges by the p-series test. Understanding and applying the p-series test can make analyzing series simpler and more efficient.