Section 2.7 Linear Independence
Definition 2.7.1.
A subset \(\mathbb{S} = \{ \mathbf{P}_1,\mathbf{P}_2,\ldots,\mathbf{P}_n\}\) of a linear space \(\mathbb{L}\) is linearly independent if every point \(\mathbf{Q}\) in \(span\mathbb{S}\) can be written in only one way as a linear combination using elements of \(\mathbb{S}\text{.}\) More specifically, for any real numbers \(a_1,a_2,\ldots,a_n\) and \(b_1,b_2,\ldots,b_n\text{:}\)
A subset \(\mathbb{S}\) is linearly dependent if \(\mathbb{S}\) is not linearly independent.
Checkpoint 2.7.2.
Show how to write the point \(\ot{a}{b}{c}\) as a linear combination of the points in \(\mathbb{S} = \{ \ot{1}{2}{0},\ot{1}{0}{0},\ot{1}{1}{0} \}\text{.}\) Is the set \(\mathbb{S}\) linearly independent? If it is not, show how some point can be written in more than one way as a linear combination of the elements of \(\mathbb{S}\text{.}\)
Checkpoint 2.7.3.
What is the additive identity element in the linear spaceĀ \(\mathbb{R}^n\text{?}\) ...in the linear space \(\mathbb{P}\text{?}\) ..in the linear space C[0,1]?
Checkpoint 2.7.4.
Describe the steps needed to prove:
Theorem 2.7.5.
Let \(\mathbb{S} = \{ \mathbf{P}_1 , \mathbf{P}_2 ,\ldots, \mathbf{P}_n \}\) be a subset of linear space \(\mathbb{L}\text{.}\) Then the set \(\mathbb{S}\) is linearly independent if and only if for all real numbers \(c_1,c_2,\ldots,c_n\text{,}\) \(c_1\mathbf{P}_1 + c_2\mathbf{P}_2 +\cdots+c_n\mathbf{P}_n = \mathbf{0}\) implies all of the coefficients \(c_i\) are zero.