Introduction
This blog will discuss Decidability and Undecidability problems. A common question in GATE is whether a language (or a problem*) is decidable, undecidable, or partially decidable. This question becomes easier to answer if you have the proper knowledge and experience.

The theory of computing (TOC) consists of two primary sorts of languages, which are as follows:
- Decidable
- Undecidable
1. Decidable Problems
In computer science and mathematics, a language is a set of strings made up of symbols from an alphabet. A language is called decidable if an algorithm can determine whether a given string is a member of that language. In other words, a language is decidable if there is a definite and effective way to determine whether a string is valid within that language or not. This concept is fundamental in the theory of computation and has practical applications in fields such as programming languages, database systems, and natural language processing. The study of decidable languages is an important area of research in computer science and plays a critical role in developing algorithms and computational systems.
A recursive language is a type of formal language that can be generated by the recursive grammar. In simpler terms, it is a language where the rules for generating strings in the language refer back to the language itself. This makes it possible to generate infinite sets of strings. Recursive languages are important in computer science and mathematics, as they are closely related to the concept of computability and the ability of a computer to solve certain types of problems.
Examples of Decidable Problems
Here are some examples of decidable problems:
• Given a mathematical statement, determine whether it is true or false.
• Checking whether a given string is a palindrome.
• Determining whether a number is even or odd.
• Checking whether a given graph is connected.
• Verifying whether a given regular expression matches a string.
• Checking whether a given number is prime.
• Determining whether a given Turing machine halts on a given input.




