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Copy file name to clipboardExpand all lines: VSP-0050/main.tex
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\section*{Abstract Vector Spaces}
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\end{onlineOnly}
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In \href{https://ximera.osu.edu/linearalgebradzv3/LinearAlgebraInteractiveIntro/VSP-0020/main}{Subspaces of $\RR^n$} we discussed $\RR^n$ as a vector space and introduced the notion of a subspace of $\RR^n$.
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Earlier in the text we discussed $\RR^n$ as a vector space and introduced the notion of a subspace of $\RR^n$.
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In this section we will consider sets other than $\RR^n$ that have two operations and satisfy the same properties as $\RR^n$. Such sets, together with the operations of addition and scalar multiplication, will also be called vector spaces.
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\subsection*{Properties of Vector Spaces}
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$1\vec{u}=\vec{u}$
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\end{enumerate}
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\begin{remark}
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All scalars in this chapter are assumed to be real numbers. Complex scalars are considered in \href{https://ximera.osu.edu/linearalgebradzv3/LinearAlgebraInteractiveIntro/RTH-0050/main}{Complex Matrices}.
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\end{remark}
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%\begin{remark}
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% All scalars in this chapter are assumed to be real numbers. Complex scalars are considered in \href{https://ximera.osu.edu/linearalgebradzv3/LinearAlgebraInteractiveIntro/RTH-0050/main}{Complex Matrices}.
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%\end{remark}
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In the next two examples we will explore two sets other than $\RR^n$ endowed with addition and scalar multiplication and satisfying the same properties.
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Is the set of all points in $\mathbb{R}^2$ a vector space under the given definitions of addition and scalar multiplication? In each case be specific about which vector space properties hold and which properties fail.
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\begin{problem}\label{prob:abstractvectspace1}
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Given the set of all points in $\mathbb{R}^2$, define the operations of addition and scalar multiplication as follows:
\begin{problem}\label{prob:abstractvectspace2} Given the set of all points in $\mathbb{R}^2$, define the operations of addition and scalar multiplication as follows:
In this problem we will check that the set $\mathbb{C}$ of all complex numbers is in fact a vector space. Let $z_1 = a_1 + b_1 i$ be a complex number. Similarly, let $z_2 = a_2 + b_2 i$, $z_3 = a_3 + b_3 i$ be complex numbers, and let $k$ and $p$ be real number scalars. Check that complex numbers are closed under addition and multiplication, and that they satisfy each of the vector space properties.
%In this problem we will check that the set $\mathbb{C}$ of all complex numbers is in fact a vector space. Let $z_1 = a_1 + b_1 i$ be a complex number. Similarly, let $z_2 = a_2 + b_2 i$, $z_3 = a_3 + b_3 i$ be complex numbers, and let $k$ and $p$ be real number scalars. Check that complex numbers are closed under addition and multiplication, and that they satisfy each of the vector space properties.
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%\end{problem}
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\begin{problem}\label{prob:abstractvectspace6}
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Refer to Example \ref{ex:centralizerofA} and describe all elements of $C_I$, where $I$ is a $3\times3$ identity matrix.
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Recall that for a fixed matrix $A$ in $\mathbb{M}_{n,n}$, the set $C_A$ of all $n\times n$ matrices that commute with $A$ under matrix multiplication is a subspace of $\mathbb{M}_{n,n}$. (Example \ref{ex:centralizerofA})
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Describe all elements of $C_I$, where $I$ is a $3\times3$ identity matrix.
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\end{problem}
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\begin{problem}\label{prob:abstractvectspace7}
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Is the subset of all invertible $n\times n$ matrices a subspace of $\mathbb{M}_{n,n}$? Prove your claim.
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Is the subset of all invertible $n\times n$ matrices a subspace of $\mathbb{M}_{n,n}$?
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\begin{multipleChoice}
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\choice{Yes}
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\choice[correct]{No}
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\end{multipleChoice}
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Prove your claim.
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\end{problem}
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\begin{problem}\label{prob:symmetricsubspace}
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Is the subset of all symmetric $n\times n$ matrices a subspace of $\mathbb{M}_{n,n}$? (See Definition \ref{def:symmetricandskewsymmetric}.) Prove your claim.
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Is the subset of all symmetric $n\times n$ matrices a subspace of $\mathbb{M}_{n,n}$?
Let $V$ be a vector space. Let $S$ be any subset of $V$. Prove that $U=\mbox{span}(S)$ is a subspace of $V$. (Theorem \ref{th:spanisasubspaceabstract})
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\end{problem}
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\section*{Text Source} The discussion on polynomials was adapted from Section 6.1 of Keith Nicholson's \href{https://open.umn.edu/opentextbooks/textbooks/linear-algebra-with-applications}{\it Linear Algebra with Applications}. (CC-BY-NC-SA)
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