Turing variations
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Transcript of Turing variations
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Costas Busch - LSU 1
Turing’s Thesis
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Costas Busch - LSU 2
Turing’s thesis (1930):
Any computation carried outby mechanical meanscan be performed by a Turing Machine
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Costas Busch - LSU 3
Algorithm:An algorithm for a problem is a Turing Machine which solves the problem
The algorithm describes the steps of the mechanical means
This is easily translated to computation stepsof a Turing machine
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Costas Busch - LSU 4
When we say:There exists an algorithm
We mean: There exists a Turing Machinethat executes the algorithm
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Costas Busch - LSU 5
Variationsof the
Turing Machine
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Costas Busch - LSU 6
Read-Write Head
Control Unit
a a c b a cb b a a
Deterministic
The Standard ModelInfinite Tape
(Left or Right)
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Costas Busch - LSU 7
Variations of the Standard Model
• Stay-Option • Semi-Infinite Tape• Multitape• Multidimensional• Nondeterministic
Turing machines with:
Different Turing Machine Classes
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Costas Busch - LSU 8
We will prove:each new class has the same power with Standard Turing Machine
Same Power of two machine classes:both classes accept the same set of languages
(accept Turing-Recognizable Languages)
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Costas Busch - LSU 9
Same Power of two classes means:for any machine of first class 1M
there is a machine of second class 2M
such that: )()( 21 MLML
and vice-versa
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Costas Busch - LSU 10
A technique to prove same power.Simulation:Simulate the machine of one classwith a machine of the other class
First Class Original Machine
1M 1M2M
Second ClassSimulation Machine
simulates 1M
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Costas Busch - LSU 11
Configurations in the Original Machinehave corresponding configurations in the Simulation Machine
nddd 10Original Machine:
Simulation Machine: nddd
10
1M
2M
1M
2M
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Costas Busch - LSU 12
the Simulation Machineand the Original Machineaccept the same strings
fdOriginal Machine:
Simulation Machine: fd
Accepting Configuration
)()( 21 MLML
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Costas Busch - LSU 13
Turing Machines with Stay-Option
The head can stay in the same position
a a c b a cb b a a
Left, Right, Stay
L,R,S: possible head moves
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Costas Busch - LSU 14
Example:
a a c b a cb b a a
Time 1
b a c b a cb b a aTime 2
1q 2q
1q
2q
Sba ,
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Costas Busch - LSU 15
Stay-Option machineshave the same power with Standard Turing machines
Theorem:
Proof:1. Stay-Option Machines simulate Standard Turing machines
2.Standard Turing machines simulate Stay-Option machines
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Costas Busch - LSU 16
1. Stay-Option Machines simulate Standard Turing machines
Trivial: any standard Turing machine is also a Stay-Option machine
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Costas Busch - LSU 17
2.Standard Turing machines simulate Stay-Option machines
We need to simulate the stay head option with two head moves, one left and one right
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Costas Busch - LSU 18
1q 2qSba ,
1qLba ,
2qRxx ,
Stay-Option Machine
Simulation in Standard Machine
For every possible tape symbol x
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Costas Busch - LSU 19
1q 2qLba ,
1q 2qLba ,
Stay-Option Machine
Simulation in Standard Machine
Similar for Right moves
For other transitions nothing changes
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Costas Busch - LSU 20
example of simulation
a a b a
1q
Stay-Option Machine:
1 b a b a
2q2
1q 2qSba ,
Simulation in Standard Machine: a a b a
1q1
b a b a
2q2
b a b a
3q3
END OF PROOF
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Costas Busch - LSU 21
A useful trick: Multiple Track Tape
bd
abbaac
track 1track 2
One symbol ),( baOne head
helps for more complicated simulations
One Tape
It is a standard Turing machine, but each tape alphabet symbol describes a pair of actual useful symbols
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Costas Busch - LSU 22
bd
abbaac
track 1track 2
1q 2qLdcab ),,(),(
1q
bd
abcdac
track 1track 2
2q
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Costas Busch - LSU 23
Semi-Infinite Tape
.........a b a c
• When the head moves left from the border, it returns back to leftmost position
The head extends infinitely only to the right
• Initial position is the leftmost cell
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Costas Busch - LSU 24
Semi-Infinite machineshave the same power with Standard Turing machines
Theorem:
Proof:
2. Semi-Infinite Machines simulate Standard Turing machines
1.Standard Turing machines simulate Semi-Infinite machines
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Costas Busch - LSU 25
1. Standard Turing machines simulate Semi-Infinite machines:
a. insert special symbol at left of input string
#
a b a c #
b. Add a self-loop to every state (except states with no outgoing transitions)
R,##
Standard Turing Machine
Semi-Infinite machine modifications
..................
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Costas Busch - LSU 26
2. Semi-Infinite tape machines simulate Standard Turing machines:
Standard machine
.........Semi-Infinite tape machine
..................
Squeeze infinity of both directions to one direction
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Costas Busch - LSU 27
Standard machine
.........
Semi-Infinite tape machine with two tracks
..................
reference point
##
Right partLeft part
a b c d e
ac bd e
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Costas Busch - LSU 28
1q2q
Rq2Lq1
Lq2 Rq1
Left part Right part
Standard machine
Semi-Infinite tape machine
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Costas Busch - LSU 29
1q 2qRga ,
Standard machine
Lq1Lq2
Lgxax ),,(),(
Rq1Rq2
Rxgxa ),,(),(
Semi-Infinite tape machine
Left part
Right part
For all tape symbolsx
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Costas Busch - LSU 30
Standard machine.................. a b c d e
1q
.........Semi-Infinite tape machine
##
Right partLeft part ac b
d e
Lq1
Time 1
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Costas Busch - LSU 31
Time 2
g b c d e
2q
##
Right partLeft part gc b
d e
Lq2
Standard machine..................
.........Semi-Infinite tape machine
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Costas Busch - LSU 32
Lq1Rq1
R),#,(#)#,(#
Semi-Infinite tape machine
Left part
At the border:
Rq1Lq1
R),#,(#)#,(# Right part
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Costas Busch - LSU 33
.........
Semi-Infinite tape machine
##
Right partLeft part gc b
d e
Lq1
.........##
Right partLeft part gc b
d e
Rq1
Time 1
Time 2
END OF PROOF
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Costas Busch - LSU 34
Multi-tape Turing Machines
a b c e f g
Control unit
Tape 1 Tape 2
Input string
Input string appears on Tape 1
(state machine)
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Costas Busch - LSU 35
a b c e f g
1q 1q
a g c e d g
2q 2q
Time 1
Time 2
RLdgfb ,),,(),( 1q 2q
Tape 1 Tape 2
Tape 1 Tape 2
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Costas Busch - LSU 36
Multi-tape machineshave the same power with Standard Turing machines
Theorem:
Proof:1. Multi-tape machines simulate Standard Turing machines
2.Standard Turing machines simulate Multi-tape machines
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Costas Busch - LSU 37
1. Multi-tape machines simulate Standard Turing Machines:
Trivial: Use one tape
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Costas Busch - LSU 38
2. Standard Turing machines simulate Multi-tape machines:
• Uses a multi-track tape to simulate the multiple tapes
• A tape of the Multi-tape machine corresponds to a pair of tracks
Standard machine:
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Costas Busch - LSU 39
a b c h e f g
Multi-tape MachineTape 1 Tape 2
Standard machine with four track tapea b c
e f g0 0
0 0
1
1
Tape 1head positionTape 2head position
h0
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Costas Busch - LSU 40
Repeat for each Multi-tape state transition:1. Return to reference point2. Find current symbol in Track 1 and update3. Return to reference point4. Find current symbol in Tape 2 and update
a b c
e f g0 0
0 0
1
1
Tape 1head positionTape 2head position
h0
####
Reference point
END OF PROOF
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Costas Busch - LSU 41
( steps)
}{ nnbaL
Standard Turing machine:Go back and forth times )( 2nO
2-tape machine:1. Copy to tape 2 nb2. Compare on tape 1 and tape 2
)(nO
nbna
to match the a’s with the b’s
( steps))(nO
)( 2nO time
)(nO time
Same power doesn’t imply same speed:
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Costas Busch - LSU 42
Multidimensional Turing Machines
x
y
ab
c
2-dimensional tape
HEADPosition: +2, -1
MOVES: L,R,U,DU: up D: down
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Costas Busch - LSU 43
Multidimensional machineshave the same power with Standard Turing machines
Theorem:
Proof:1. Multidimensional machines simulate Standard Turing machines
2.Standard Turing machines simulate Multi-Dimensional machines
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Costas Busch - LSU 44
1. Multidimensional machines simulate Standard Turing machines
Trivial: Use one dimension
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Costas Busch - LSU 45
2. Standard Turing machines simulate Multidimensional machines
Standard machine:• Use a two track tape• Store symbols in track 1• Store coordinates in track 2
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Costas Busch - LSU 46
x
y
ab
c
a1
b#
symbolcoordinates
2-dimensional machine
Standard Machine
1 # 2 # 1c
#
1q
1q1
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Costas Busch - LSU 47
Repeat for each transition followedin the 2-dimensional machine:
1. Update current symbol2. Compute coordinates of next position3. Go to new position
Standard machine:
END OF PROOF
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Costas Busch - LSU 48
Nondeterministic Turing Machines
Lba ,
Rca ,
1q
2q
3q
Allows Non Deterministic Choices
Choice 1
Choice 2
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Costas Busch - LSU 49
a b c
1q
Lba ,
Rca ,
1q
2q
3q
Time 0
Time 1
b b c
2q
c b c
3q
Choice 1
Choice 2
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Costas Busch - LSU 50
Input string is accepted if there is a computation:
w
yqxwq f0
Initial configuration Final Configuration
Any accept state
There is a computation:
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Costas Busch - LSU 51
Nondeterministic machineshave the same power with Standard Turing machines
Theorem:
Proof:1. Nondeterministic machines simulate Standard Turing machines
2.Standard Turing machines simulate Nondeterministic machines
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Costas Busch - LSU 52
1. Nondeterministic Machines simulate Standard (deterministic) Turing Machines
Trivial: every deterministic machine is also nondeterministic
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Costas Busch - LSU 53
2. Standard (deterministic) Turing machines simulate Nondeterministic machines:
• Stores all possible computations of the non-deterministic machine on the 2-dimensional tape
Deterministic machine:• Uses a 2-dimensional tape (equivalent to standard Turing machine with one tape)
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Costas Busch - LSU 54
All possible computation pathsInitial state
Step 1
Step 2
Step i
Step i+1acceptreject infinitepath
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Costas Busch - LSU 55
The Deterministic Turing machinesimulates all possible computation paths:
• with breadth-first search
• simultaneously
• step-by-step
depth-first may result getting stuck at exploring an infinite path before discovering the accepting path
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Costas Busch - LSU 56
a b c
1q
Lba ,
Rca ,
1q
2q
3q
Time 0
NonDeterministic machine
Deterministic machine
a b c1q
# # # # ##### # #
##
# #
currentconfiguration
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Costas Busch - LSU 57
Lba ,
Rca ,
1q
2q
3q
b b c2q
# # # # #### #
#
# #
Computation 1
b b c
2qChoice 1
c b c
3q
Choice 2
c b c3q ## Computation 2
NonDeterministic machine
Deterministic machine
Time 1
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Costas Busch - LSU 58
Repeat For each configuration in current step of non-deterministic machine,if there are two or more choices: 1. Replicate configuration 2. Change the state in the replicas
Deterministic Turing machine
Until either the input string is accepted or rejected in all configurations
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Costas Busch - LSU 59
If the non-deterministic machine acceptsthe input string:
The deterministic machine accepts and halts too
The simulation takes in the worst case exponential time compared to the shortest length of an accepting path
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Costas Busch - LSU 60
If the non-deterministic machine does not accept the input string:
1. The simulation halts if all paths reach a halting state
OR 2. The simulation never terminates if there is a never-ending path (infinite loop) In either case the deterministic machine rejects too (1. by halting or 2. by simulating the infinite loop)
END OF PROOF