Plane Intersections: Row Reduction and Geometry
Find the line where two planes meet using row reduction and a free parameter. Compare intersecting, coincident and parallel planes with a diagram and three explained practice questions.
Work with an online tutor on linear systems, matrices and vector geometry in Concordia MATH 204. You can start with the question alone. Your tutor can help you set up the matrix or sketch, explain the row operations and connect each step to what the answer means.
Concordia MATH 204 connects linear systems and matrix methods with vector geometry. Its Fall 2026 outline also includes vector spaces, subspaces, bases, dimension, eigenvalues and diagonalization. Use your section’s current outline to choose the topics to review.
The outline’s scheduled November 1 midterm date is now past. Keep weeks 1–6 practice for systems, matrices and basic vectors, then add later-course topics for the whole-course final. The selected lessons below do not cover the complete final syllabus; check your current section instructions and official exam schedule.
Official course source Your section outline and instructor announcements take priority. These are Nablio study routes and exercises, not official exams.
Use equations, fractions and coordinate geometry confidently. Linear algebra is a separate branch from calculus, not simply the course between Calculus I and II.
MATH 201 or equivalent is the listed prerequisite. Credit restrictions and section details must be checked with Concordia.
Check the official course catalogueFind the real unknowns satisfying both and .
Adding the equations eliminates : , so . Substitute into the second equation: , giving . Both checks hold: and .
Use an augmented matrix and a free parameter to find the line where two planes meet. The lesson also compares coincident planes (the same plane) and distinct parallel planes.
Read the full lesson: nine steps, one diagram and three practice questions with explained answers
Suppose is a linear transformation from to with and . Find , then find the input whose image is .
Because , linearity gives The standard matrix therefore has columns and : These are columns, not rows: multiplying by selects the first column.
We obtain . For , solve The solution is , and substituting gives . Since , each output has exactly one input.
Use your matrix to recover . Which column should multiplication select?
It must recover , the second column. If you obtain , check the sign of the first component and make sure the basis images were placed in columns.
You can start with a linear-system or vector-geometry question alone. Your tutor can help you write the matrix or draw the geometry, explain the row operations and connect the calculation to the original problem. Comparing cases with one, no or infinitely many solutions can then help you explain what the final matrix means.
The Fall 2026 outline scheduled the weeks 1–6 midterm for Sunday, November 1, 10:00–11:30 Montréal local time. That scheduled date is now past. It describes a three-hour final covering the whole course, but gives no final date; check the Examinations Office schedule and current instructor announcements. The systems, matrices, inverses, determinants, Cramer’s rule and basic vector work below remain useful early-course practice.
Try first: complete “Solve a system and check it” with the answer closed. Then try the question in “Connect multiplication, determinant and inverse”. Keep each row operation visible and substitute your result into the original equations.
Mix and retry without notes: solve and for real x and y by elimination. Use the equations in that order and columns in the order x, y to form the coefficient matrix. Find its determinant, verify the solution, then decide whether the solution vector is orthogonal to .
Adding the equations gives , so and . The coefficient determinant is , so the solution is unique. Substitution gives and . The dot product confirms orthogonality.
You can ask for help with a question even if you have not started it. Bring the question to your instructor, a course tutorial or a tutor; include attempted work if you have some. Work through the first step together, explain the method, then try a similar question with less help.
Flexible routine: use a first attempt to identify one matrix skill and one vector skill to review. Work on them in separate 20–30-minute blocks, then mix questions from the announced exam scope. Explain when elimination, an inverse or Cramer’s rule applies, and check your answer in the original problem.
Fall 2026 outline: assessment p. 2; scope p. 3.
Original Nablio exercises. Adapt the steps to your needs and follow your instructor’s current announcements.
Contrast invertible and singular matrices, independent and dependent vectors, and vectors versus coordinates in a basis. Use your section outline for the scope of eigenvalues and diagonalization.
We work through permitted practice and comparable problems, without completing graded assignments or exams on your behalf.
Find the line where two planes meet using row reduction and a free parameter. Compare intersecting, coincident and parallel planes with a diagram and three explained practice questions.
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.
Practise systems, row operations, dot products and linear independence with original worked examples and self-checks for Concordia MATH 204.
Find eigenvalues and eigenspaces, then diagonalize a matrix and calculate its powers. Four worked examples and eleven questions with hints and explained solutions.
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Request MATH 204 tutoringFor exam preparation, share your exam date, the announced chapters and a question or topic you would like to work on. You can start with the question alone.
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