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Official PYQ · 2015

GATE CS 2015 Set 1 Q34 — Partial Orders and Lattices

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Suppose L={p,q,r,s,t}L = \left\{ p, q, r, s, t\right\} is a lattice represented by the following Hasse diagram:

For any x,y∈Lx, y \in L, not necessarily distinct , x∨yx \vee y and x∧yx \wedge y are join and meet of x,yx, y, respectively. Let L3={(x,y,z):x,y,z∈L}L^3 = \left\{\left(x, y, z\right): x, y, z \in L\right\} be the set of all ordered triplets of the elements of LL. Let prp_{r} be the probability that an element (x,y,z)∈L3\left(x, y,z\right) \in L^3 chosen equiprobably satisfies x∨(y∧z)=(x∨y)∧(x∨z)x \vee (y \wedge z) = (x \vee y) \wedge (x \vee z). Then

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Answer: D

To find the probability prp_r, we analyze the number of triplets (x,y,z)imesL3(x, y, z) imes L^3 that satisfy the distributive identity:

x∨(y∧z)=(x∨y)∧(x∨z)x \vee (y \wedge z) = (x \vee y) \wedge (x \vee z)

Since LL is a finite lattice with 55 elements, it must have a unique least element (bottom) denoted by 00 and a unique greatest element (top) denoted by 11. Let us count the satisfying triplets:

  1. Case 1: x=0x = 0
    The identity becomes 0∨(y∧z)=(0∨y)∧(0∨z)  ⟹  y∧z=y∧z0 \vee (y \wedge z) = (0 \vee y) \wedge (0 \vee z) \implies y \wedge z = y \wedge z, which is always true. Since yy and zz can be any of the 55 elements, this gives 1×5×5=251 \times 5 \times 5 = 25 valid triplets.
  2. Case 2: x=1x = 1
    The identity becomes 1∨(y∧z)=(1∨y)∧(1∨z)  ⟹  1=1∧11 \vee (y \wedge z) = (1 \vee y) \wedge (1 \vee z) \implies 1 = 1 \wedge 1, which is always true. This gives another 1×5×5=251 \times 5 \times 5 = 25 valid triplets.

Since 0≠10 \neq 1, these two cases are completely disjoint. Thus, there are at least 25+25=5025 + 25 = 50 satisfying triplets out of a total of 53=1255^3 = 125 possible triplets.

This gives the lower bound for the probability:

pr≥50125=25>15p_r \ge \frac{50}{125} = \frac{2}{5} > \frac{1}{5}

Since the Hasse diagram represents a non-distributive lattice (either N5N_5 or M3M_3), the distributive law does not hold universally, meaning pr<1p_r < 1. Therefore, we have:

15<pr<1\frac{1}{5} < p_r < 1

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