--- title: Biostat 216 Homework 4 subtitle: 'Due Nov 10 @ 11:59pm' format: html: theme: cosmo embed-resources: true number-sections: true toc: true toc-depth: 4 toc-location: left code-fold: false jupyter: jupytext: formats: 'ipynb,qmd' text_representation: extension: .qmd format_name: quarto format_version: '1.0' jupytext_version: 1.15.2 kernelspec: display_name: Julia 1.9.3 language: julia name: julia-1.9 --- Submit a PDF (scanned/photographed from handwritten solutions, or converted from RMarkdown or Jupyter Notebook or Quarto) to Gradescope in BruinLearn. ## Q1 For any $\mathbf{X} \in \mathbb{R}^{n \times p}$ and $\mathbf{y} \in \mathbb{R}^n$, show that the normal equation $$ \mathbf{X}' \mathbf{X} \boldsymbol{\beta} = \mathbf{X}' \mathbf{y} $$ always have at least one solution. ## Q2 Let $\mathbf{A} \in \mathbb{R}^{m \times n}$. 1. Show that for any generalized inverse $\mathbf{A}^-$, we have $\text{rank}(\mathbf{A}^-) \ge \text{rank}(\mathbf{A})$. 2. Show that the Moore-Penrose inverse $\mathbf{A}^+$ has the same rank as $\mathbf{A}$. ## Q3 Householder reflections Let $\mathbf{v} \in \mathbb{R}^n$. Define the **Householder reflection matrix** $$ \mathbf{H} = \mathbf{I} - 2 \frac{\mathbf{v} \mathbf{v}'}{\|\mathbf{v}\|^2} = \mathbf{I} - 2 \mathbf{u} \mathbf{u}', $$ where $\mathbf{u}$ is the unit vector $\mathbf{v} / \|\mathbf{v}\|$. 1. Show that $\mathbf{H}$ is symmetric and orthogonal. 2. Let $\mathbf{a}, \mathbf{b} \in \mathbb{R}^n$ such that $\|\mathbf{a}\| = \|\mathbf{b}\|$. Find a Household matrix such that $\mathbf{H} \mathbf{a} = \mathbf{b}$. 3. Let $\mathbf{a} \in \mathbb{R}^n$ be a non-zero vector. Find a Householder matrix such that $$ \mathbf{H} \mathbf{a} = \begin{pmatrix} \|\mathbf{a}\| \\ \mathbf{0}_{n-1} \end{pmatrix}. $$ 4. Let $\mathbf{a} \in \mathbb{R}^n$. Find a Householder matrix such that $$ \mathbf{H} \mathbf{a} = \begin{pmatrix} a_1 \\ \|\mathbf{a}_{2:n}\| \\ \mathbf{0}_{n-2} \end{pmatrix}. $$ 5. Let $\mathbf{A} \in \mathbb{R}^{n \times p}$. Describe how to find a sequence of Householder matrices $\mathbf{H}_1, \ldots, \mathbf{H}_{p}$ such that $$ \mathbf{H}_{p} \mathbf{H}_{p-1} \cdots \mathbf{H}_1 \mathbf{A} = \mathbf{R}, $$ where $\mathbf{R} \in \mathbb{R}^{n \times p}$ is an upper triangular matrix. Describe how this generates a full QR decomposition of matrix $\mathbf{A} = \mathbf{Q} \mathbf{R}$, where $\mathbf{Q} \in \mathbb{R}^{n \times n}$ is an orthogonal matrix and $\mathbf{R}$ is upper triangular. ## Q4 Missile tracking A missile is fired from enemy territory, and its position in flight is observed by radar tracking devices at the following positions. | $x$=Position down range (1000 miles) | 0 | 0.25 | 0.5 | 0.75 | 1 | |:------------------------------------:|:-:|:-----:|:-----:|:-----:|:-----:| | $y$=Height (1000 miles) | 0 | 0.008 | 0.015 | 0.019 | 0.020 | Suppose that intelligence sources indicate that enemy missiles are programmed to follow a parabolic flight path: $y = f(x) = \alpha_0 + \alpha_1 x + \alpha_2 x$. Where is the missile expected to land? Hint: You can find the solution using computer program. For example, in Julia, least squares solution is obtained by command `A \ b`. ![](missile.png) ## BV exercises 12.2, 12.3