Chapter 3: Problem 16
Let \(A\) be a \(5 \times 8\) matrix with rank equal to 5 and let b be any vector in \(\mathbb{R}^{5}\). Explain why the system \(A \mathbf{x}=\mathbf{b}\) must have infinitely many solutions.
/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none}
Learning Materials
Features
Discover
Chapter 3: Problem 16
Let \(A\) be a \(5 \times 8\) matrix with rank equal to 5 and let b be any vector in \(\mathbb{R}^{5}\). Explain why the system \(A \mathbf{x}=\mathbf{b}\) must have infinitely many solutions.
All the tools & learning materials you need for study success - in one app.
Get started for free
Let \(S\) be the subspace of \(P_{3}\) consisting of all polynomials \(p(x)\) such that \(p(0)=0,\) and let \(T\) be the subspace of all polynomials \(q(x)\) such that \(q(1)=\) 0\. Find bases for (a) \(S\) (b) \(T\) (c) \(S \cap T\)
Prove that any nonempty subset of a linearly independent set of vectors \(\left\\{\mathbf{v}_{1}, \ldots, \mathbf{v}_{n}\right\\}\) is also linearly independent
Show that the element 0 in a vector space is unique.
Show that if \(U\) and \(V\) are subspaces of \(\mathbb{R}^{n}\) and \(U \cap V=\\{0\\},\) then \\[ \operatorname{dim}(U+V)=\operatorname{dim} U+\operatorname{dim} V \\]
Given $$\mathbf{v}_{1}=\left(\begin{array}{l} 2 \\ 6 \end{array}\right), \quad \mathbf{v}_{2}=\left(\begin{array}{l} 1 \\ 4 \end{array}\right), \quad S=\left(\begin{array}{ll} 4 & 1 \\ 2 & 1 \end{array}\right)$$ find vectors \(\mathbf{u}_{1}\) and \(\mathbf{u}_{2}\) so that \(S\) will be the transition matrix from \(\left\\{\mathbf{v}_{1}, \mathbf{v}_{2}\right\\}\) to \(\left\\{\mathbf{u}_{1}, \mathbf{u}_{2}\right\\}\)
What do you think about this solution?
We value your feedback to improve our textbook solutions.