Row Operations: Why the Solutions Stay the Same
Understand reversible row operations, solve and check a linear system, and distinguish one, no and infinitely many solutions. Original practice for Concordia MATH 204 and McGill MATH 133.
Linear Algebra: send your chapter so we can check whether we can help before you book.
MAT1600 connects the mechanics of solving linear systems with the structure of vector spaces and linear transformations. The official outline extends from elimination and independence to changes of basis, determinants and diagonalization.
Topics include Linear systems and Gaussian elimination, Vector spaces and linear independence, Linear maps and changes of basis, Determinants and diagonalization.
Practise solving two equations together, keeping fractions exact and multiplying a matrix by a vector. Then translate a short vector equation into coordinate equations. These are study suggestions, not registration requirements.
Consult the official course description for prerequisites, restrictions and section details.
Check the official course catalogueLet , and be vectors in , the space of real triples. Are they linearly independent? Find every triple of real coefficients such that . Explain the role of any free parameter.
Adding coordinates gives . Hence is a linear combination equal to the zero vector, with coefficients that are not all zero. This is exactly why the three vectors are dependent.
The target is , and replacing by gives .
To check that coefficients can be compared, suppose , where and are real numbers. The first coordinate forces , and the third forces . Thus and are independent, so and .
Neither equation fixes , so let denote its freely chosen real value. Then , , and .
The complete solution is for . Here the parameter labels infinitely many coefficient triples; it is not an extra equation or an unknown to solve for.
after substitution, for every .
For comparison, any combination of these vectors has second coordinate equal to twice its first plus its third. The target fails that condition because , so that different target would have no solution.
You can start with an unworked problem, a definition you want explained or any calculations you have already tried. Your tutor can build a row reduction with you, check each operation and explain what the pivots and free variables mean. For a change of basis, you can compare the coordinate systems together and work through a smaller example before applying the method to your question.
Build mixed practice from your current course outline: include a consistent system with a free variable, an inconsistent system and an independence argument. For an eigenvector check, let be the matrix, the proposed eigenvector and its proposed eigenvalue; verify directly. Keep a separate record of arithmetic errors and definition errors so each gets the right kind of practice.
Use your section’s outline to choose the chapters to review. We work through permitted practice and comparable problems, without completing graded assignments or exams on your behalf.
Understand reversible row operations, solve and check a linear system, and distinguish one, no and infinitely many solutions. Original practice for Concordia MATH 204 and McGill MATH 133.
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