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Linear Algebra, 2020a

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32 Chapter One. <strong>Linear</strong> Systems<br />

than one solution so its matrix is singular.<br />

⎛<br />

⎞<br />

7 0 −7 0<br />

8 1 −5 −2<br />

⎜<br />

⎟<br />

⎝0 1 −3 0 ⎠<br />

0 3 −6 −1<br />

The table above has two dimensions. We have considered the one on top: we<br />

can tell into which column a given linear system goes solely by considering the<br />

system’s left-hand side; the constants on the right-hand side play no role in this.<br />

The table’s other dimension, determining whether a particular solution exists,<br />

is tougher. Consider these two systems with the same left side but different<br />

right sides.<br />

3x + 2y = 5<br />

3x + 2y = 5<br />

3x + 2y = 5<br />

3x + 2y = 4<br />

The first has a solution while the second does not, so here the constants on the<br />

right side decide if the system has a solution. We could conjecture that the left<br />

side of a linear system determines the number of solutions while the right side<br />

determines if solutions exist but that guess is not correct. Compare these two,<br />

with the same right sides but different left sides.<br />

3x + 2y = 5<br />

4x + 2y = 4<br />

3x + 2y = 5<br />

3x + 2y = 4<br />

The first has a solution but the second does not. Thus the constants on the<br />

right side of a system don’t alone determine whether a solution exists. Rather,<br />

that depends on some interaction between the left and right.<br />

For some intuition about that interaction, consider this system with one of<br />

the coefficients left unspecified, as the variable c.<br />

x + 2y + 3z = 1<br />

x + y + z = 1<br />

cx + 3y + 4z = 0<br />

If c = 2 then this system has no solution because the left-hand side has the<br />

third row as the sum of the first two, while the right-hand does not. If c ≠ 2<br />

then this system has a unique solution (try it with c = 1). For a system to<br />

have a solution, if one row of the matrix of coefficients on the left is a linear<br />

combination of other rows then on the right the constant from that row must be<br />

the same combination of constants from the same rows.<br />

More intuition about the interaction comes from studying linear combinations.<br />

That will be our focus in the second chapter, after we finish the study of Gauss’s<br />

Method itself in the rest of this chapter.

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