- Constructible by efficient algorithms(as the problematic consequence of separating P from NP)
- Something that a computer could build or calculate quickly using a step-by-step procedure, without needing an unreasonable amount of time or resources.
- Definably separating(as the goal that creates the problem)
- Creating a clear, specific rule or property that can distinguish between two different things—in this case, proving that P and NP are fundamentally different.
- Natural proofs barrier(as used in computational complexity theory)
- A fundamental obstacle showing that a certain family of mathematical proof strategies cannot work to solve one of computer science's biggest unsolved problems (P vs NP).
- P and NP(as the two categories being separated)
- Two classes of computer problems: P are problems computers can solve quickly, and NP are problems whose solutions are quick to check once you have them (like a sudoku puzzle—hard to solve, easy to verify).
- Razborov and Rudich(as used in computational complexity theory)
- Two computer scientists who discovered a mathematical barrier (called the 'natural proofs barrier') that makes it very hard to prove certain computational limits using standard proof techniques.
- Self-undermining circularity(as the paradox that blocks proof attempts)
- A logical trap where trying to prove something true would accidentally prove something that contradicts your original attempt, like trying to dig yourself out of a hole by digging deeper.
- combinatorial property(in describing mathematical structures)
- A characteristic about how things can be combined, arranged, or selected from a set.