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GATE 2020 IN Q.3: solution and answer

GATE 2020 · INQ.3 · 1 mark · MCQ

A set of linear equations is given in the form , where is a matrix with real number entries and . Will it be possible to solve for and obtain a unique solution by multiplying both left and right sides of the equation by (the super script denotes the transpose) and inverting the matrix ? Answer is ____

  1. (A)

    Yes, it is always possible to get a unique solution for any matrix A.

  2. (B)

    No, it is not possible to get a unique solution for any matrix A.

  3. (C)

    Yes, can obtain a unique solution provided the matrix is well conditioned

  4. (D)

    Yes, can obtain a unique solution provided the matrix is well conditioned

See the question in the paper

Answer and solution

ANSWER

(B) No, it is not possible to get a unique solution for any matrix A.

Official answer: BSource: Official answer key, GATE 2020 IN (IIT Delhi)

  1. Multiplying both sides of on the left by gives the normal equations . Since is and is , the matrix is .

  2. The rank of a matrix cannot exceed its smaller dimension. is , so .

  3. The rank of a product is at most the rank of either factor: . (For real , in fact .)

  4. A matrix is invertible only if its rank is . Since , for every matrix , so never exists and the proposed method cannot be carried out.

  5. The same conclusion follows from the original system directly: has unknowns and a coefficient matrix of rank at most , so there are at least free variables. If the system is consistent it has infinitely many solutions; it can never have a unique one.

  6. Conditioning cannot rescue this. A singular matrix has an infinite condition number, so can never be "well conditioned", which rules out (C). (D) fails for the same rank reason: however well behaved the entries of are, is still singular and the system is still underdetermined. Hence the answer is (B).

KEY IDEA

For an matrix with , the matrix has rank , so it is always singular. An underdetermined system (fewer equations than unknowns) can never have a unique solution, and the normal equations cannot change that.

WATCH OUT FOR

Carrying over the least-squares recipe without checking when it applies. It gives a unique answer only when has full column rank, which needs at least as many rows as columns (). A second trap is picking (C) or (D) because they sound like numerical-analysis caveats: conditioning describes how sensitive an invertible matrix is to small errors, but here is exactly singular, with infinite condition number, for every matrix .

From the GATE 2020 IN paper. Every question of this paper · Download the full paper · All 46 Linear algebra questions, with notes

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