The independent-column representation gives . Thus a vector lies in the kernel of a linear map represented by this matrix precisely when and . Writing the two free coordinates separately givesThe two displayed vectors are linearly independent, so they form a basis of the kernel. Its dimension two also agrees with the rank-nullity theorem, .
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