Okay kiddo, let's imagine that you are playing with some building blocks. You have built a tower with some blocks, and someone asks you to build another tower using different blocks. But these new blocks need to fit perfectly with the old ones.
In math, we have something called a "vector space" which is like a bunch of blocks that we can play with. When we talk about the "orthogonal complement" of a vector space, we mean another set of blocks that fit perfectly with the original ones, but in a special way.
To understand what "orthogonal" means, let's imagine we are playing a game of tag. You are "it" and you need to tag me. But I am standing at a right angle to you, which means you can't tag me because you can't touch me from the side. In math, we call this "perpendicular" or "orthogonal."
Now, if we go back to our vector space, we can imagine that some of our building blocks are pointing in one direction and some are pointing in another direction. The "orthogonal complement" of our vector space is a set of blocks that point in a direction that is perpendicular or "orthogonal" to all of the blocks in our original set.
Why do we care about this? Well, in math we often want to find a new set of blocks that don't overlap with the original set. It's like when you are building a tower and you want to add a new level. You don't want the new blocks to be in the same place as the old ones, or your tower will fall over. By finding the orthogonal complement of our original set of blocks, we can make sure that the new set doesn't overlap with the old one.
So, in short, the orthogonal complement of a vector space is a set of blocks that fit perfectly with the original set, but in a special way - they point in a direction that is perpendicular to all of the blocks in the original set.