Question:easy

A square matrix with non-negative elements and unit row sums is called as a:

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Non negative entries with each row summing to 1 is precisely the textbook definition of one particular named matrix.
Updated On: Jul 4, 2026
  • Stochastic matrix
  • Positive definite matrix
  • Unitary matrix
  • All of these
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The Correct Option is A

Solution and Explanation

Step 1: Test the property on a concrete example. Take $A = \begin{pmatrix} 0.4 & 0.6 \\ 0.7 & 0.3 \end{pmatrix}$. Every entry is non negative and each row adds to 1, so $A$ satisfies the given condition.
Step 2: Check whether $A$ must be unitary (orthogonal, for a real matrix): compute $A A^{T}$. The (1,1) entry is $0.4^2+0.6^2 = 0.16+0.36=0.52 \neq 1$, so $A A^{T} \neq I$. Hence such a matrix need not be unitary, ruling out options (C) and (D).
Step 3: Check positive definiteness: a real positive definite matrix is required to be symmetric, but here $A$ is not symmetric since $0.6 \neq 0.7$. So $A$ cannot be positive definite, ruling out option (B) and (D) again.
Step 4: By elimination, the only property guaranteed for every non negative, unit row sum square matrix is the defining property of a stochastic matrix.
\[\boxed{\text{Stochastic matrix}}\]
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