1.
What is the Halting Problem?
1.1.
1. Turing Machine
1.2.
2. Decision Problems
1.3.
3. Computability theory
2.
3.
3.1.
Can a Turing machine solve the halting problem?
3.2.
Why is the halting problem important?
3.3.
What can solve the halting problem?
3.4.
Why is the halting problem undecidable?
4.
Conclusion
Last Updated: Jun 10, 2024
Medium

# Halting Problem in Theory of Computation

GAZAL ARORA
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The Halting Problem is determining whether a computer program will eventually stop or run forever. Creating a general algorithm that can accurately predict this for all programs is impossible. Alan Turing's proof showed no way to solve the Halting Problem for all cases.

Halting means that the system will either accept or halt(reject) a certain input to avoid entering an infinite loop. The decision of whether or not a specific Turning machine should halt is known as the Halting Problem of Turning Machines.

The halting problem is one of the most well-known problems proven to be undecidable. In this article, we will learn about the Halting Problem in the Theory of Computation.

## What is the Halting Problem?

The halting problem was proposed by Alan Turing in 1936. The halting problem is a fundamental issue in theory and computation. The halting problem is the problem of determining whether a computer program will halt or run forever.

Before moving on to the proof, let's first understand some terms.

### 1. Turing Machine

A Turing machine is a computational mathematical model. It is a type of CPU that controls all data manipulation performed by a computer. Turing machines can be either halting or non-halting, depending on the algorithm and the input associated with the algorithm.

### 2. Decision Problems

A decision problem has only two possible outcomes (yes or no) on any input. In computability and computational complexity theories, a decision problem for a given program can be expressed as a yes/no question of the input values.

### 3. Computability theory

An undecidable problem is a sort of computational problem requiring a yes/no answer but where no computer program can give the proper answer all of the time; that is, any possible algorithm or program would sometimes give the wrong answer or run forever without providing any answer.

Step 1: Assume we can create a machine called HM(P, I), where HM is the Halting machine, P is the program, and I is the input. After receiving both inputs, the machine HM will output whether or not the program P terminates.

Step 2: Now, create an inverted halting machine IM that takes a program P as input and,

• Loops forever If HM returns YES.
• Halts if HM returns NO.

Step 3: Now, take a situation where the program IM is passed to the IM function as an input. Here, we got a contradiction. Let's understand how.

It is impossible for the outer function to halt if its inner function is in a loop(RHS), and it is likewise impossible for the outer function to halt even if its inner function is halting(LHS). So both conditions are non-halting for the IM machine, despite our above assumptions.

Hence, the halting problem is undecidable.

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### Can a Turing machine solve the halting problem?

No, the Turing machine can't solve the halting problem. The halting problem is unsolvable. It is likely to be the most well-known undecidable problem. No program can solve the halting problem for general enough computer programs.

### Why is the halting problem important?

The halting problem is a mathematical proof that shows it is impossible to tell in general if a program will terminate for a given input. Understanding how and why some problems are undecidable is important. The halting problem is a perfect introduction to computability theory.

### What can solve the halting problem?

No solution can solve the halting problem for all cases. Alan Turing's proof demonstrated that no algorithm or program can predict whether any program will stop or run indefinitely in all situations.

### Why is the halting problem undecidable?

The halting problem is undecidable because no algorithm or program can accurately determine for all cases whether another program will eventually stop or run forever.

## Conclusion

In this article, we learned about one of the well-known problems in the Theory of computation: The Halting Problem. We learned that it is an undecidable problem. Starting from understanding the problem, we proved that there is no generalized algorithm that can accurately predict whether or not a given program will ever halt. The only way to find out is to run the algorithm and see if it halts.