Sharp remainder formulae for general weighted Hardy and Rellich type inequalities for $1<p<\infty$

This paper extends the weighted LpL^p-Hardy inequalities and identities to the full range $1<p<\infty,whilealsoestablishinganewsharpremainderformulaforgeneralweighted, while also establishing a new sharp remainder formula for general weighted L^p$-Rellich inequalities involving quasilinear second-order degenerate elliptic operators.

Yerkin Shaimerdenov, Nurgissa Yessirkegenov, Amir Zhangirbayev

Published 2026-03-06
📖 5 min read🧠 Deep dive

Imagine you are trying to measure the "energy" or "effort" required to move a fluid through a complex pipe system. In mathematics, this is often done using equations called inequalities. These inequalities act like safety nets or speed limits; they tell us the minimum amount of energy needed to do a job, ensuring we don't underestimate the difficulty.

This paper is about sharpening those safety nets. The authors, Yerkin Shaimerdenov, Nurgissa Yessirkegenov, and Amir Zhangirbayev, have taken some very old, very famous rules (called Hardy and Rellich inequalities) and made them work perfectly for a much wider range of situations than before.

Here is a breakdown of what they did, using simple analogies:

1. The Old Rules vs. The New Rules

For decades, mathematicians had a set of rules to calculate the minimum energy needed to move things around in space.

  • The Problem: These rules worked great if the "fluid" was thick and heavy (mathematically, when a number pp was 2 or larger). But if the fluid was thinner or behaved differently (when $1 < p < 2$), the old rules were either broken or gave a loose, inaccurate estimate.
  • The Analogy: Imagine you have a ruler that works perfectly for measuring heavy bricks, but if you try to measure a feather with it, the ruler bends and gives you the wrong number.
  • The Breakthrough: The authors found a new, flexible "ruler" (a specific algebraic identity) that works perfectly for both heavy bricks and light feathers. They extended the rules to work for all types of fluids between 1 and infinity, not just the heavy ones.

2. The "Perfect Fit" (Sharp Remainders)

In the past, when mathematicians used these inequalities, they often had to say, "The energy is at least this much." It was a rough estimate. Sometimes, the actual energy was much higher, but the rule didn't tell you how much higher.

  • The Analogy: Imagine you are packing a suitcase. The old rule said, "You need at least 10 liters of space." But if you actually need 15 liters, the rule doesn't tell you that you are 5 liters short. You might think you're fine, but your suitcase won't close.
  • The Innovation: This paper provides a "Sharp Remainder." This is like adding a precise label to the suitcase: "You need 10 liters, plus an extra 5 liters because of the shape of your clothes."
  • Why it matters: They didn't just say "it's at least X." They gave an exact formula for the difference between the minimum estimate and the actual reality. This difference is called the "remainder." If you know the remainder, you know exactly how much "extra" energy is needed.

3. The "Ghost" Extremizers

One of the coolest parts of their discovery is the concept of "virtual extremizers."

  • The Analogy: Imagine you are trying to find the perfect balance point on a seesaw. The math says the perfect balance happens if you sit exactly at a specific spot. However, that spot is actually a hole in the ground (a singularity) where you can't physically sit.
  • The Insight: The authors found that while you can't physically sit in that perfect spot (because the math blows up there), the formula still works if you pretend you are sitting there. They call these "virtual" solutions. They are like ghosts that prove the rule is perfect, even though you can't touch them. This helps mathematicians understand the absolute limit of the system.

4. Where Does This Apply?

The authors didn't just fix the rules for flat, empty space (like a standard room). They fixed them for:

  • Twisted Spaces: Imagine space where some directions are harder to move through than others (like walking through water vs. walking on land).
  • Complex Operators: They applied this to "degenerate elliptic operators," which are fancy math names for machines that handle weird, distorted geometries (like the Baouendi-Grushin or Heisenberg operators).
  • Real-World Impact: These geometries show up in quantum physics, image processing, and even in how heat spreads through materials that aren't uniform.

Summary

Think of this paper as upgrading the GPS for mathematicians.

  • Before: The GPS worked well for highways (standard cases) but got lost on dirt roads (complex cases) and only gave you a rough estimate of the distance.
  • Now: The new GPS works on every road type, from smooth highways to rocky trails. It doesn't just give you a distance; it tells you the exact extra fuel you'll need for the bumps in the road, ensuring you never run out of gas.

By proving these identities hold for all numbers between 1 and infinity, the authors have unified a fragmented field of mathematics, providing a single, powerful tool that is more accurate and versatile than anything that came before.