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From '''Part A''', we can compute the rank of the <math>M</math> (M is a result of <math>n</math> linear equations coming from <math>n</math> crossings of a knot diagram) using Gaussian elimination and this can be done in polynomial time. From the rank nullity theorm, we get the nullity and hence <math>\lambda(K)</math>. |
'''Atempt 1''': From '''Part A''', we can compute the rank of the <math>M</math> (M is a result of <math>n</math> linear equations coming from <math>n</math> crossings of a knot diagram) using Gaussian elimination and this can be done in polynomial time. From the rank nullity theorm, we get the nullity and hence <math>\lambda(K)</math>. |
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'''Attempt 2''': The time complexity for looping through <math>n</math> crossing is <math>\Big(n)</math>. Now at each of the <math>n</math> crossing, three arcs meet and deciding which of the three colours to colour them is also of complexity <math>\Big(n^3)</math>. |
Revision as of 00:53, 24 May 2018
Home Work 1
Question 1.
A. Prove that the set of all 3-colourings of a knot diagram is a vector space over . Hence is always a power of 3.
Attempt: Let be a knot diagram for the knot with crossings. There are arcs. Let represent the arcs. Now let . Define by
,
so that .
Then, with the above definition, we get a linear equation for each each of the crossings, where . Thus we get a system of linear equation, from which we get a matrix . The nullspace of is the solution to this system of equation and this is exactly the set of all 3-colourings of . This is a vector space of size
B. Prove that is computable in polynomial time in the number of crossings of K.
Atempt 1: From Part A, we can compute the rank of the (M is a result of linear equations coming from crossings of a knot diagram) using Gaussian elimination and this can be done in polynomial time. From the rank nullity theorm, we get the nullity and hence .
Attempt 2: The time complexity for looping through crossing is . Now at each of the crossing, three arcs meet and deciding which of the three colours to colour them is also of complexity .