Okay, let's say you have a really wiggly worm that you want to measure. But instead of a ruler, you only have a rubber band. You stretch the rubber band around the worm and it kind of fits, but it's not perfect because the worm is too wiggly. That's kind of like what Schauder estimates are.
Instead of a worm and a rubber band, we have equations that describe wiggly things called functions. And just like the worm, these functions can be hard to measure perfectly because they're too wiggly. But the Schauder estimates help us find a way to measure them more accurately.
They do this by putting a limit on how wiggly the function can be. Think about it like this: if you're trying to draw a picture of a person but you're only allowed to use straight lines, you have to draw a lot of lines to make it look like a real person. But if you're allowed to use curved lines, it's much easier to draw because you can just use a few lines to make it look real.
The Schauder estimates basically say that the function can't be too wiggly, so we can use fewer lines (or simpler equations) to describe it accurately. This makes it easier for us to solve problems that involve these wiggly functions.
So in summary, Schauder estimates help us measure wiggly functions more accurately by putting limits on how wiggly they can be. It's kind of like using curved lines instead of straight lines to draw a person - it simplifies things and makes it easier to solve problems.