Which of the following is true? (1) Either the row vectors or the column vectors of a square matrix are linearly independent. (11) A matrix with linearly independent row vectors and linearly independent column vectors is square. (1II) Adding one additional column to a matrix increases its rank(or lead term) by one. (IV) The nullity of a square matrix with linearly dependent rows is at least one. (V) If A is square and AX = b is inconsistent for some vector b, then the nullity of A is zero.
Which of the following is true? (1) Either the row vectors or the column vectors of a square matrix are linearly independent. (11) A matrix with linearly independent row vectors and linearly independent column vectors is square. (1II) Adding one additional column to a matrix increases its rank(or lead term) by one. (IV) The nullity of a square matrix with linearly dependent rows is at least one. (V) If A is square and AX = b is inconsistent for some vector b, then the nullity of A is zero.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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
Transcribed Image Text:Which of the following is true?
(1) Either the row vectors or the column vectors of a square matrix
are linearly independent.
(11) A matrix with linearly independent row vectors and linearly
independent column vectors is square.
(1II) Adding one additional column to a matrix increases its rank(or lead
term) by one.
(IV) The nullity of a square matrix with linearly dependent rows is
at least one.
(V) If A is square and AX = b is inconsistent for some vector b,
then the nullity of A is zero.
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