Chapter 4: Problem 23
Prove that the determinant of an upper triangular matrix is the product of its diagonal entries.
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Chapter 4: Problem 23
Prove that the determinant of an upper triangular matrix is the product of its diagonal entries.
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Show that \(\operatorname{span}(S)=\operatorname{span}(S \cup\\{0\\}) .\) That is, by joining or deleting the zero vector from a set, we do not change the space spanned by the set.
Show that the following functions \(f, g, h\) are linearly independent: (a) \(f(t)=e^{t}, g(t)=\sin t, h(t)=t^{2}\); (b) \(f(t)=e^{t}, g(t)=e^{2 t}, h(t)=t\).
Let \(V\) be the vector space of all functions from the real field \(\mathbf{R}\) into \(\mathbf{R}\). Show that \(W\) is a subspace of \(V\) where \(W\) consists of all: (a) bounded functions, (b) even functions. [Recall that \(f: \mathbf{R} \rightarrow \mathbf{R}\) is bounded if \(\exists M \in \mathbf{R} \text { such that } \forall x \in \mathbf{R}, \text { we have }|f(x)| \leq M ; \text { and } f(x) \text { is even if } f(-x)=f(x), \forall x \in \mathbf{R} .]\)
Show that \(u=(a, b)\) and \(v=(c, d)\) in \(K^{2}\) are linearly dependent if and only if \(a d-b c=0\).
Answer true or false. If false, prove it with a counterexample. (a) If \(u_{1}, u_{2}, u_{3}\) span \(V,\) then \(\operatorname{dim} V=3\). (b) If \(A\) is a \(4 \times 8\) matrix, then any six columns are linearly dependent. (c) If \(u_{1}, u_{2}, u_{3}\) are linearly independent, then \(u_{1}, u_{2}, u_{3}, w\) are linearly dependent. (d) If \(u_{1}, u_{2}, u_{3}, u_{4}\) are linearly independent, then \(\operatorname{dim} V \geq 4\). (e) If \(u_{1}, u_{2}, u_{3}\) span \(V,\) then \(w, u_{1}, u_{2}, u_{3}\) span \(V\). (f) If \(u_{1}, u_{2}, u_{3}, u_{4}\) are linearly independent, then \(u_{1}, u_{2}, u_{3}\) are linearly independent.
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