### Is algorithmically computable problem a problem computable by a Turing Machine accordingly to the Church-Turing Thesis?

The Church-Turing Thesis is a foundational principle in the theory of computation and computational complexity. It posits that any function which can be computed by an algorithm can also be computed by a Turing machine. This thesis is not a formal theorem that can be proven; rather, it is a hypothesis about the nature of

- Published in Cybersecurity, EITC/IS/CCTF Computational Complexity Theory Fundamentals, Recursion, Turing Machine that writes a description of itself

### If the value in the fixed point definition is the lim of the repeated application of the function can we call it still a fixed point? In the example shown if instead of 4->4 we have 4->3.9, 3.9->3.99, 3.99->3.999, … is 4 still the fixed point?

The concept of a fixed point in the context of computational complexity theory and recursion is an important one. In order to answer your question, let us first define what a fixed point is. In mathematics, a fixed point of a function is a point that is unchanged by the function. In other words, if

- Published in Cybersecurity, EITC/IS/CCTF Computational Complexity Theory Fundamentals, Recursion, The Fixed Point Theorem

### What is the significance of the recursion theorem in computational complexity theory?

The recursion theorem holds significant importance in computational complexity theory, particularly in the field of cybersecurity. This theorem provides a fundamental framework for understanding the behavior and limits of recursive functions, which are essential in many computational tasks and algorithms. At its core, the recursion theorem states that any computable function can be computed by

- Published in Cybersecurity, EITC/IS/CCTF Computational Complexity Theory Fundamentals, Recursion, Recursion Theorem, Examination review

### How does the recursion theorem allow for the creation of a Turing machine that can operate on its own description?

The recursion theorem is a fundamental concept in computational complexity theory that allows for the creation of a Turing machine capable of operating on its own description. This theorem provides a powerful tool for understanding the limits and capabilities of computation. To understand how the recursion theorem enables the creation of such a Turing machine,

- Published in Cybersecurity, EITC/IS/CCTF Computational Complexity Theory Fundamentals, Recursion, Recursion Theorem, Examination review

### What are some examples of operations that can be performed on a Turing machine?

A Turing machine is a theoretical computational model that consists of an infinite tape divided into cells, a read-write head, and a control unit. The control unit is responsible for determining the behavior of the machine, which includes performing various operations on the tape. These operations are essential for carrying out computations and solving problems.

- Published in Cybersecurity, EITC/IS/CCTF Computational Complexity Theory Fundamentals, Recursion, Recursion Theorem, Examination review

### How does the recursion theorem relate to the operations that can be performed on a Turing machine?

The recursion theorem plays a important role in understanding the operations that can be performed on a Turing machine within the context of computational complexity theory. To comprehend this relationship, it is important to first grasp the fundamentals of recursion and its significance in the field of computer science. Recursion refers to the process of

### What is the recursion theorem in the context of computational complexity theory?

The recursion theorem is a fundamental concept in computational complexity theory that plays a important role in understanding the limits of computation. In this context, recursion refers to the ability of a computational process or algorithm to call itself during its execution. The recursion theorem provides a formal framework for analyzing and reasoning about recursive

### Provide an example of a computable function T and explain how the recursion theorem guarantees the existence of a fixed point for this function.

The recursion theorem, a fundamental concept in computational complexity theory, guarantees the existence of a fixed point for a computable function T. To illustrate this, let's consider a specific example of a computable function and explain how the recursion theorem applies. Suppose we have a computable function T that takes as input a binary string

### Explain the recursion theorem and its relevance to fixed points in the context of transformations on Turing machines.

The recursion theorem is a fundamental concept in the field of computational complexity theory that plays a significant role in understanding fixed points in the context of transformations on Turing machines. It provides a formal framework for defining self-referential computations and enables the examination of fixed points, which are essential in various computational processes. In

### What is the relationship between fixed points and computable functions in computational complexity theory?

The relationship between fixed points and computable functions in computational complexity theory is a fundamental concept that plays a important role in understanding the limits of computation. In this context, a fixed point refers to a point in a function's domain that remains unchanged when the function is applied to it. A computable function, on