Comparison Tests for Improper Integrals
Improper integrals appear when an interval is unbounded or an integrand becomes unbounded near an endpoint. These cases matter in probability, survival analysis, queuing models, and continuous distributions. A density may look harmless on most of its domain. Its tail can still decide whether area, mean, or variance exists.
Why comparison helps
The comparison test replaces a difficult integrand with a simpler one. The simpler function is usually a p type tail, an exponential tail, or a known reciprocal form. If the target is smaller than a convergent function, its total area is also controlled. If the target is larger than a divergent function, its area must diverge. This idea is powerful because exact antiderivatives are often unavailable.
Direct comparison
Direct comparison needs a verified inequality. It is not enough for sample points to look correct. The proof must hold eventually near the improper endpoint. The calculator samples points to help you inspect the relation. It also lets you mark a relation as verified when your algebra confirms it. This keeps the result useful for classwork and reports.
Limit comparison
Limit comparison studies the ratio f(x)/g(x). When the limit is positive and finite, both integrals behave alike. This is ideal when two functions have the same dominant tail. In statistics, it can compare heavy tailed densities with p integrals. It can also test whether a proposed model has finite normalizing area.
Numerical support
This tool uses Simpson estimates and endpoint ratio samples. These values are not a substitute for proof. They are diagnostic evidence. Increase the subinterval count for smoother functions. Decrease the endpoint cutoff only when the expression remains stable. Always choose a comparator with known behavior before trusting the final decision.
Best practice
Start with a simple comparator. Use powers, logarithms, or exponentials. Check positivity. Then compare near the only endpoint that causes trouble. If the output is inconclusive, try a closer comparator. Many difficult integrals need a sharper bound before the comparison test can decide convergence.
For reports, record the endpoint, comparator, and reason. This makes the conclusion auditable. It also helps readers see why tail area controls normalization. Expected value and model validity depend on that control. Report model decisions carefully.