Prove mathematically that if a Turing Machine runs in time
O(g(n)), then it runs in time O(h(g(n)) +c),
for any constant c ≥ 0 and any functions g(n) and h(n) where h(n) ≥
n.
f(n) is O(g(n)) then
there exist a constant c > 0, and a constant
n0 such that for all n ≥ n0: f(n) ≤
c*g(n)
hence:
there exist a constant c > 0, and a constant
n0 such that for all n ≥ n0: g(n) ≥
(1/c)*f(n)
note that since c > 0, then the
constant (1/c) > 0
hence:
there exist a constant k > 0, namely h = (1/c), and
a constant n0 such that for all n ≥ n0: g(n)
≥ h*f(n)
which is the definition of g(n) = Ω (f(n)).
Prove mathematically that if a Turing Machine runs in time O(g(n)), then it runs in time...
Let h(n) =1 if n codes a Turing machine M which halts when started on a blank tape, h(n) =0 otherwise. Sketch a proof that h is not Turing computable.
1. For each of the following pairs of functions, prove that f(n)-O(g(n)), and / or that g(n) O(f(n)), or explain why one or the other is not true. (a) 2"+1 vs 2 (b) 22n vs 2" VS (c) 4" vs 22n (d) 2" vs 4" (e) loga n vs log, n - where a and b are constants greater than 1. Show that you understand why this restriction on a and b was given. f) log(0(1) n) vs log n....
Subject : Theory of Computation
Please answer , posting second time now cause nobody answered it
previously
Problem 3: Turing Machine Models Turing-Recognisablity and Decidability [20] a. Show that an FA with a FIFO queue is Turing universal (i.e equivalent in computational power to a Turing machine). You should regard this machine as being formally defined in a way that is very similar to a PDA, except that on each transition, instead of pushing and/or popping a character, the machine...
Construct a Turing Machine for {1^3^n | n>=0}
can someone help me with this problem? thanks
Prove that there is no algorithm that determines whether an arbitrary Turing machine halts when run with the input string 101.
Prove that there is no algorithm that determines whether an arbitrary Turing machine halts when run with the input string 101.
Prove that if f (n) = O (g (n)) and g (n) = Ohm (h (n)), it is not necessarily true that f(n) = O (h (n)). You may assume that low degree (i.e., low-exponent) polynomials do not dominate higher degree polynomials, while higher degree polynomials dominate lower ones. For example, n^3 notequalto O (n^2), but n^2 = O (n^3). Prove that if f (n) = O (g (n)) and g (n) = Ohm (h (n)), it is not necessarily...
Third time posting, can someone answer
please.
Question 2. Consider the Turing machine defined as follows. input alphabet {1} Tape alphabet = { 1,0, x,□} where □ represents a blank Set of states (A, B, C, D Initial state A set of accept states = {D} Transition function: 6(A, z) = (A,z, R) 6(A, □)-(C,D, L) (i) Draw a transition graph for this Turing machine. (ii) Determine the output of the Turing machine for each of the following input i)...
Let L = {0^n 1^n | n ≥ 0}. Draw the state diagram of a Turing
machine deciding L= Σ∗\L(basically the complement of L), where Σ =
{0,1}, and Γ = {0,1,#,U}, and “\” is set subtraction.
I understand that the complement of L will be {0^n 1^m | n=!m} U
{(0 U 1)* 1 0 {0 U 1)*}.
How should I draw the state diagram with this?
Let L = {0"1" | n > 0}. Draw the state diagram...
Describe a Turing machine that decides L5 = {0^3^n |n ∈ N} – the language consisting of all strings of zeroes whose length is a power of 3.
Let f(n) = 5n^2. Prove that f(n) = O(n^3). Let f(n) = 7n^2. Prove that f(n) = Ω(n). Let f(n) = 3n. Prove that f(n) =ꙍ (√n). Let f(n) = 3n+2. Prove that f(n) = Θ (n). Let k > 0 and c > 0 be any positive constants. Prove that (n + k)c = O(nc). Prove that lg(n!) = O(n lg n). Let g(n) = log10(n). Prove that g(n) = Θ(lg n). (hint: ???? ? = ???? ?)???? ?...