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Let two machines be P and Q. The state in which P can simulate Q and Q can simulate P is called:
- a)Turing Equivalence
- b)State Equivalence
- c)Universal Turing Machine
- d)None of the mentioned
Correct answer is option 'A'. Can you explain this answer?
Verified Answer
Let two machines be P and Q. The state in which P can simulate Q and Q...
It is a closely related concept with Turing complete. It says, two computers P and Q are called equivalent if P can simulate Q and Q can simulate P.
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Let two machines be P and Q. The state in which P can simulate Q and Q...
Understanding Turing Equivalence
Turing equivalence is a fundamental concept in computer science, particularly in the theory of computation. It refers to the ability of two computational models to simulate each other. Here's a detailed breakdown:
Definition of Turing Equivalence
- Turing equivalence occurs when two machines, such as P and Q, can simulate each other's operations.
- This means that for any computation performed by machine P, there exists a machine Q that can perform the same computation and vice versa.
Significance in Computability Theory
- Turing equivalence is crucial because it establishes the notion that different computational models (e.g., Turing machines, finite automata) can solve the same problems if they are Turing equivalent.
- It demonstrates that the power of computation does not depend on the specific type of machine, but rather on the algorithm being executed.
Universal Turing Machine
- A Universal Turing Machine can simulate any Turing machine, which is a direct consequence of the concept of Turing equivalence.
- This universality implies that all Turing-complete systems share the same computational power.
Implications in Computer Science
- Turing equivalence assures researchers and programmers that various programming languages or computational models can be effectively used to solve the same problems.
- It underpins the idea that no computational model is fundamentally more powerful than another; they are all equivalent in terms of computational capabilities.
In summary, Turing equivalence is a cornerstone of theoretical computer science, illustrating that different computational systems can simulate each other and are equally powerful in terms of what they can compute.
Turing equivalence is a fundamental concept in computer science, particularly in the theory of computation. It refers to the ability of two computational models to simulate each other. Here's a detailed breakdown:
Definition of Turing Equivalence
- Turing equivalence occurs when two machines, such as P and Q, can simulate each other's operations.
- This means that for any computation performed by machine P, there exists a machine Q that can perform the same computation and vice versa.
Significance in Computability Theory
- Turing equivalence is crucial because it establishes the notion that different computational models (e.g., Turing machines, finite automata) can solve the same problems if they are Turing equivalent.
- It demonstrates that the power of computation does not depend on the specific type of machine, but rather on the algorithm being executed.
Universal Turing Machine
- A Universal Turing Machine can simulate any Turing machine, which is a direct consequence of the concept of Turing equivalence.
- This universality implies that all Turing-complete systems share the same computational power.
Implications in Computer Science
- Turing equivalence assures researchers and programmers that various programming languages or computational models can be effectively used to solve the same problems.
- It underpins the idea that no computational model is fundamentally more powerful than another; they are all equivalent in terms of computational capabilities.
In summary, Turing equivalence is a cornerstone of theoretical computer science, illustrating that different computational systems can simulate each other and are equally powerful in terms of what they can compute.
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Let two machines be P and Q. The state in which P can simulate Q and Q can simulate P is called:a)Turing Equivalenceb)State Equivalencec)Universal Turing Machined)None of the mentionedCorrect answer is option 'A'. Can you explain this answer?
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