Understand row operations and solution sets
Review reversible operations, contradictions and free variables if solving the component equations is the difficult part.
Get one-to-one help with vectors, matrices and determinants for Vanier 201-SN4-RE. Try the short example below, or bring a question and the step you want to understand.
Vanier’s Linear Algebra & Vector Geometry course introduces vectors, matrices, determinants and Euclidean vector geometry with applications. The example below connects these ideas in two dimensions: build a target vector from two given vectors, then explain what the determinant says about uniqueness and area.
Review ordered pairs, multiplication by a scalar and solving two equations in two unknowns. A scalar is a number: multiply each component of a vector by that number, then add corresponding components. Keep the horizontal component first and the vertical component second.
In the coordinate plane, let , and the target vector . Find real numbers and such that . Explain why this pair of coefficients is unique, and find the area of the parallelogram whose adjacent sides are and , drawn from the same point.
Match the horizontal and vertical components to obtain two equations. Place and in the columns of a matrix. Its determinant connects the two questions about uniqueness and area.
The numbers and scale the two given vectors. Matching components gives
Call the matrix of their columns . The same equations can be written as
The first column belongs to the first coefficient. Changing the order of the columns without changing the coefficient order would change the vector combination.
From the first equation, . Substitute into the second: , so . Therefore and . Check the original vector equation:
The coefficients are ; the resulting vector has components . They describe different things.
For a two-by-two matrix, take the top-left entry times the bottom-right entry, then subtract the top-right entry times the bottom-left entry. The notation means the determinant of :
This is nonzero, so the two column vectors are linearly independent: neither is a multiple of the other. They give a unique pair of coefficients for every vector in the plane. In this calculation, the equation fixes , and then fixes .
For two vectors in the plane, the absolute value of the determinant of their columns is the area of the parallelogram they form. Here that area is square units. The determinant’s sign records orientation; area is nonnegative.
As a check, swapping the columns gives . It reverses their order but leaves the same parallelogram, so its area stays square units.
Keep , but replace the second vector by . (1) Find the determinant of the matrix with columns , and describe the vectors that can produce. (2) For target , give every real coefficient pair . (3) Can the same two vectors produce target ? Explain.
First write as a multiple of . Factor , then compare both components of each target with that single direction.
, so the two vectors are linearly dependent. Their matrix and determinant are
Every combination is . Write ; the possible vectors are , where is any real number. Their endpoints lie on the line , with and the usual horizontal and vertical coordinates. The parallelogram has collapsed to a line segment and has zero area.
Because , we need . Let be any real number and choose . Then every solution is
For example, and both produce . There are infinitely many coefficient pairs, but they all produce the same target vector.
To produce , the horizontal component would require , while the vertical component would require . Both cannot hold. The target is off the reachable line, so there is no solution.
A zero determinant tells us that a unique coefficient pair is impossible. Checking the target distinguishes infinitely many solutions from no solution.
If your coefficients were wrong, check the component equations, then substitute the values you found for and into the original vector equation. If you concluded that a zero determinant always means no solution, revisit the two different targets in the self-check.
Your tutor can help you sketch the vectors, label the coefficients and turn a vector equation into component equations. You can compare a correct column setup with a misplaced entry and explain how the geometry changes.
After checking the calculation, your tutor can change one vector or the target and ask you to predict the result before solving. Together, you can connect a determinant to the available directions, check a proposed answer and write a complete family of solutions when needed.
From your section’s assigned topics, choose one linear system and one problem that combines two vectors in the plane. Check a proposed solution by substitution. For the vector problem, turn the components into equations and explain what the determinant tells you about uniqueness. If the determinant is zero, check whether the target is reachable before deciding how many solutions there are. Redo a corrected question without the solution, using only the tools your teacher permits.
Review reversible operations, contradictions and free variables if solving the component equations is the difficult part.
Use the matrix, independence and determinant examples for more practice. This shared resource was written for Concordia MATH 204; choose the topics that match your Vanier work.
Open Linear Algebra & Vector Geometry to read the course description.
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