Chapter 6: Problem 13
Prove that the composition of onto functions is onto.
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Chapter 6: Problem 13
Prove that the composition of onto functions is onto.
These are the key concepts you need to understand to accurately answer the question.
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Find the kernel and image of the zero function \(Z: V \rightarrow W\) defined by \(Z(v)=0_{W}\) for all \(v \in V\).
Explain why the exponential function exp : \(\mathbb{R} \rightarrow \mathbb{R}\) does not have an inverse. What simple modification will remedy this problem?
Consider the function \(R_{\varphi}: \mathbb{R}^{3} \rightarrow \mathbb{R}^{3}\) that rotates each point about the \(x\)-axis through an angle of \(\varphi\). a. Give a geometric argument that \(R_{s}\) is linear. b. Find a matrix \(A_{\varphi}\) such that \(R_{\psi}(\mathrm{v})=A_{\psi} \mathrm{v}\) for all \(\mathrm{v} \in \mathbb{R}^{3}\). c. Set up appropriate notation and derive similar results for rotations about the \(y\)-axis and rotations about the z-axis.
a. Describe a one-to-one function from the natural numbers onto the even natural numbers. b. Describe a one-to-one function from the natural numbers onto the integers. c. Describe a one-to-one function from the natural numbers onto the rational numbers. d. Describe a one-to-one function from the interval \([0,1)\) onto the interval \([0,1]\). e. Describe a function from \(\mathbb{R}\) onto \(\mathbb{R}^{2}\). Is it possible for such a function to be one-to-one?
Let \(R_{\theta}: \mathbb{R}^{2} \rightarrow \mathbb{R}^{2}\) be the linear function that rotates each point counterclockwise about the origin through an angle of \(\theta\). a. For any value of \(\theta\), give geometric arguments to show that \(R_{\theta}\) is one-to-one and onto. b. Explain geometrically why \(R_{\theta} \circ R_{\varphi}=R_{\theta+\varphi}\). c. Use the result of part b to show that \(R_{\theta}^{-1}=R_{-\theta}\). d. The matrix of a rotation relative to the standard basis for \(\mathbb{R}^{2}\) is given in the second example of Section 6.3. Verify directly that the product of the matrices of \(R_{\theta}\) and \(R_{\varphi}\) is the matrix of \(R_{\theta+\varphi}\). e. Verify directly that the matrix of \(R_{-\theta}\) is the inverse of the matrix of \(R_{\theta}\).
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