Chapter 1: Problem 7
Prove that the diagonals of a parallelogram bisect each other.
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These are the key concepts you need to understand to accurately answer the question.
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Chapter 1: Problem 7
Prove that the diagonals of a parallelogram bisect each other.
These are the key concepts you need to understand to accurately answer the question.
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Show that the set \(\left\\{1, x, x^{2}, \ldots, x^{n}\right\\}\) is linearly independent in \(\mathrm{P}_{n}(F)\).
Is the set \(\mathrm{W}=\\{f(x) \in \mathrm{P}(F): f(x)=0\) or \(f(x)\) has degree \(n\\}\) a subspace of \(\mathrm{P}(F)\) if \(n \geq 1\) ? Justify your answer.
Let \(V\) denote the vector space of all upper triangular \(n \times n\) matrices (as defined on page 19), and let \(W_{1}\) denote the subspace of \(V\) consisting of all diagonal matrices. Define \(\mathrm{W}_{2}=\left\\{A \in \mathrm{V}: A_{i j}=0\right.\) whenever \(\left.i \geq j\right\\}\). Show that \(\mathrm{V}=\mathrm{W}_{1} \oplus \mathrm{W}_{2}\).
A matrix \(M\) is called skew-symmetric if \(M^{t}=-M .\) Clearly, a skew- symmetric matrix is square. Let \(F\) be a field. Prove that the set W \(_{1}\) of all skew-symmetric \(n \times n\) matrices with entries from \(F\) is a sub- space of \(M_{n \times n}(F) .\) Now assume that \(F\) is not of characteristic two (see page 549\(),\) and let \(W_{2}\) be the subspace of \(M_{n \times n}(F)\) consisting of all symmetric \(n \times n\) matrices. Prove that \(M_{n \times n}(F)=W_{1} \oplus W_{2}\).
Let \(F\) be a field that is not of characteristic two. Define $$ \mathrm{W}_{1}=\left\\{A \in \mathrm{M}_{n \times n}(F): A_{i j}=0 \text { whenever } i \leq j\right\\} $$ and \(\mathrm{W}_{2}\) to be the set of all symmetric \(n \times n\) matrices with entries from \(F\). Both \(\mathrm{W}_{1}\) and \(\mathrm{W}_{2}\) are subspaces of \(\mathrm{M}_{n \times n}(F)\). Prove that \(\mathrm{M}_{n \times n}(F)=\mathrm{W}_{1} \oplus \mathrm{W}_{2}\). Compare this exercise with Exercise 28 .
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