For questions inequalities which involves integrals, like Cauchy-Bunyakovsky-Schwarz or Hölder's inequality or Minkowski's inequality .
Integral inequalities are mathematical inequalities where integrals appear as part of the expressions being compared. These inequalities are fundamental tools in analysis, with applications ranging from proving convergence and estimating bounds to functional analysis, probability theory, and partial differential equations.
Some of the most common integral inequalities include:
Cauchy–Bunyakovsky–Schwarz inequality:
$ \left( \int_a^b f(x)g(x)\,dx \right)^2 \leq \left( \int_a^b f(x)^2\,dx \right) \left( \int_a^b g(x)^2\,dx \right). $Hölder’s inequality:
$ \int |fg| \leq \left(\int |f|^p\right)^{1/p} \left(\int |g|^q\right)^{1/q}, \qquad \frac{1}{p} + \frac{1}{q} = 1. $Minkowski’s inequality (triangle inequality for $L^p$-norms):
$ \left( \int |f+g|^p \right)^{1/p} \leq \left( \int |f|^p \right)^{1/p} + \left( \int |g|^p \right)^{1/p}. $Jensen’s inequality (for convex functions and probability measures).
Usage guidance:
- Use this tag when the main focus of the problem is an inequality involving integrals.
- If the inequality does not involve integration, prefer the general [inequality] tag.
Examples of typical questions:
- Proving a classical inequality (e.g., Hölder’s or Minkowski’s).
- Establishing bounds on integrals of functions.
- Applying integral inequalities to series, norms, or expectations in probability