Question

If V1V_1 and V2V_2 are 4-dimensional subspaces of a 6-dimensional vector space VV, then the smallest possible dimension of V1∩V2V_1 \cap V_2 is _____.

Official answer and solution
Official answer
2
From
Official GATE 2014 answer key

Solution

Apply Grassmann dimension theorem for vector subspaces to minimize the dimension of the intersection.

  1. By Grassmann's dimension formula for any two subspaces V1V_1 and V2V_2 of a vector space VV:

    dim⁡(V1+V2)=dim⁡(V1)+dim⁡(V2)−dim⁡(V1∩V2).\dim(V_1 + V_2) = \dim(V_1) + \dim(V_2) - \dim(V_1 \cap V_2).
  2. Rearranging for the dimension of the intersection:

    dim⁡(V1∩V2)=dim⁡(V1)+dim⁡(V2)−dim⁡(V1+V2).\dim(V_1 \cap V_2) = \dim(V_1) + \dim(V_2) - \dim(V_1 + V_2).
  3. Given:

    • dim⁡(V1)=4\dim(V_1) = 4
    • dim⁡(V2)=4\dim(V_2) = 4
    • V1+V2V_1 + V_2 is a subspace of VV, so dim⁡(V1+V2)≤dim⁡(V)=6\dim(V_1 + V_2) \le \dim(V) = 6.
  4. To minimize dim⁡(V1∩V2)\dim(V_1 \cap V_2), we maximize dim⁡(V1+V2)\dim(V_1 + V_2):

    dim⁡(V1∩V2)=4+4−dim⁡(V1+V2)=8−dim⁡(V1+V2)≥8−6=2.\dim(V_1 \cap V_2) = 4 + 4 - \dim(V_1 + V_2) = 8 - \dim(V_1 + V_2) \ge 8 - 6 = 2.

Therefore, the smallest possible dimension of V1∩V2V_1 \cap V_2 is 22.

Final answer

2

Common trap

Assuming the subspaces can be disjoint (dimension 0), forgetting that their dimensions sum to 8 inside a 6-dimensional space.

The answer is the one in the official GATE answer key. The solution is this site's own explanation.

Source

Paper
GATE 2014 Computer Science and Information Technology (CS) Session 3
Question
15 of 65, printed as CS Q.5
Section
Computer Science and Information Technology

Report an error in this question

GATE questions are the work of the organising institutes. This site is independent and is not affiliated with them.