Vectors, Linear Combinations and Systems

Read a matrix equation as both a system of equations and a combination of its columns.

Builds on The Coordinate Plane

The bigger question: What does a system of equations look like geometrically?

On this page

A vector in Rn\mathbb R^n is an ordered list of nn real numbers. Add vectors componentwise and multiply each component by a scalar. In an engineering model, components may record currents, displacements or concentrations; their order and units must be specified.

A linear combination c1v1+⋯+ckvkc_1\mathbf v_1+\cdots+c_k\mathbf v_k uses scalar weights to combine vectors. If the vectors are the columns of a matrix AA, the same expression is AcA\mathbf c. Thus solving Ax=bA\mathbf x=\mathbf b asks which column weights produce the target vector.

Visual guide

VISUAL GUIDEAdd displacements head to tail
Blue u = (2, 1), followed by orange v = (−1, 2), ends at u + v = (1, 3). The dashed segment shows the second vector translated without changing its direction or length.-1001122334xy
  • Translated v
Blue u = (2, 1), followed by orange v = (−1, 2), ends at u + v = (1, 3). The dashed segment shows the second vector translated without changing its direction or length.

Worked example: two views of one system

Let A=(1221)A=\begin{pmatrix}1&2\\2&1\end{pmatrix} and b=(5,4)T\mathbf b=(5,4)^T. The equation is equivalent to x+2y=5x+2y=5 and 2x+y=42x+y=4. Solving gives x=1x=1, y=2y=2.

In the column view, 1(1,2)T+2(2,1)T=(5,4)T1(1,2)^T+2(2,1)^T=(5,4)^T. In the row view, each row tests one scalar equation. Both views encode the same arithmetic but emphasize different geometry.

PAUSE & THINKA quick check, not a grade

Try it yourself.

Choose an answer and explain your reasoning to yourself. Use a hint if you get stuck.

If A has columns a₁ and a₂, what does Ax for x=(2,−1) mean?

Hint 1 · Find a starting point

The entries of x weight the columns of A.

Hint 2 · Take the next step

Multiply the first column by 2 and the second by −1.

Show the reasoning

Answer: 2a₁−a₂

Matrix–vector multiplication forms the column combination 2a₁−a₂.

Before moving on: what would make one of the other answers wrong? Saying why is part of understanding.

Worked example: an unreachable target

The columns (1,2)T(1,2)^T and (2,4)T(2,4)^T lie on the same line. Every combination is (s,2s)T(s,2s)^T, so no combination produces (1,3)T(1,3)^T. The corresponding system is inconsistent. The target (1,2)T(1,2)^T, in contrast, is reached by infinitely many weights satisfying x+2y=1x+2y=1.

An m×nm\times n matrix takes an nn-component input to an mm-component output. The number of unknowns is the number of columns, and the number of scalar equations is the number of rows. A square shape alone does not guarantee a unique solution.

Practice

  1. Compute 2(1,−1)T+3(0,2)T2(1,-1)^T+3(0,2)^T.
  2. Write x+3y=2x+3y=2, 2x−y=52x-y=5 as Ax=bA\mathbf x=\mathbf b.
  3. Can (2,5)T(2,5)^T be a multiple of (1,2)T(1,2)^T?
Show worked solutions
  1. (2,4)T(2,4)^T.
  2. A=(132−1)A=\begin{pmatrix}1&3\\2&-1\end{pmatrix}, x=(x,y)T\mathbf x=(x,y)^T, b=(2,5)T\mathbf b=(2,5)^T.
  3. No. The first component requires multiplier 22, but then the second would be 44.
MAKE IT YOURS

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