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Prove that \(|c \mathbf{v}|=|c||\mathbf{v}|,\) where \(c\) is a scalar and \(\mathbf{v}\) is a vector.

Short Answer

Expert verified
Question: Show that the magnitude of the product of a scalar and a vector is equal to the product of the magnitudes of the scalar and the vector (i.e., prove that $|c\mathbf{v}| = |c||\mathbf{v}|$).

Step by step solution

01

Define the absolute value of the scalar c and the magnitude of the vector v

The absolute value of a scalar \(c\), denoted as \(|c|\), is the non-negative value of the scalar. In other words, if \(c\) is positive, \(|c| = c\), and if \(c\) is negative, \(|c| = -c\). The magnitude of a vector \(\mathbf{v}\), denoted as \(|\mathbf{v}|\), is the length of the vector. If \(\mathbf{v} = \begin{bmatrix} v_1 \\ v_2 \\ \vdots \\ v_n \end{bmatrix}\), then the magnitude of \(\mathbf{v}\) is given by the formula $$|\mathbf{v}| = \sqrt{v_1^2 + v_2^2 + \cdots + v_n^2}.$$
02

Compute the product of the scalar and the vector

When we multiply a scalar \(c\) with a vector \(\mathbf{v}\), each element of the vector is multiplied by the scalar. Let \(\mathbf{v} = \begin{bmatrix} v_1 \\ v_2 \\ \vdots \\ v_n \end{bmatrix}\). Then, the product of \(c\) and \(\mathbf{v}\) is given by $$c \mathbf{v} = \begin{bmatrix} c v_1 \\ c v_2 \\ \vdots \\ c v_n \end{bmatrix}.$$
03

Calculate the magnitude of the product of the scalar and the vector

Next, we need to calculate the magnitude of the product of the scalar and the vector, \(|c \mathbf{v}|\). Since \(c \mathbf{v} = \begin{bmatrix} c v_1 \\ c v_2 \\ \vdots \\ c v_n \end{bmatrix}\), we have $$|c \mathbf{v}| = \sqrt{(cv_1)^2 + (cv_2)^2 + \cdots + (cv_n)^2}.$$ We can then factor out the square of the scalar \(c\), which simplifies the expression, $$|c \mathbf{v}| = \sqrt{c^2(v_1^2 + v_2^2 + \cdots + v_n^2)} = \sqrt{c^2 |\mathbf{v}|^2}.$$
04

Prove the desired property

Now that we have simplified the expression for \(|c \mathbf{v}|\), we can prove the desired property: $$|c \mathbf{v}| = \sqrt{c^2 |\mathbf{v}|^2} = \sqrt{c^2} \sqrt{|\mathbf{v}|^2} = |c| |\mathbf{v}|.$$ So, we have proven that \(|c \mathbf{v}|=|c||\mathbf{v}|,\) as desired.

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Most popular questions from this chapter

Suppose the vector-valued function \(\mathbf{r}(t)=\langle f(t), g(t), h(t)\rangle\) is smooth on an interval containing the point \(t_{0} .\) The line tangent to \(\mathbf{r}(t)\) at \(t=t_{0}\) is the line parallel to the tangent vector \(\mathbf{r}^{\prime}\left(t_{0}\right)\) that passes through \(\left(f\left(t_{0}\right), g\left(t_{0}\right), h\left(t_{0}\right)\right) .\) For each of the following functions, find an equation of the line tangent to the curve at \(t=t_{0} .\) Choose an orientation for the line that is the same as the direction of \(\mathbf{r}^{\prime}\). $$\mathbf{r}(t)=\left\langle e^{t}, e^{2 t}, e^{3 t}\right\rangle ; t_{0}=0$$

Compute \(\mathbf{r}^{\prime \prime}(t)\) and \(\mathbf{r}^{\prime \prime \prime}(t)\) for the following functions. $$\mathbf{r}(t)=\left\langle e^{4 t}, 2 e^{-4 t}+1,2 e^{-t}\right\rangle$$

Cauchy-Schwarz Inequality The definition \(\mathbf{u} \cdot \mathbf{v}=|\mathbf{u}||\mathbf{v}| \cos \theta\) implies that \(|\mathbf{u} \cdot \mathbf{v}| \leq|\mathbf{u}||\mathbf{v}|\) (because \(|\cos \theta| \leq 1\) ). This inequality, known as the Cauchy-Schwarz Inequality, holds in any number of dimensions and has many consequences. Verify that the Cauchy-Schwarz Inequality holds for \(\mathbf{u}=\langle 3,-5,6\rangle\) and \(\mathbf{v}=\langle-8,3,1\rangle\)

Let \(\mathbf{r}(t)=\langle f(t), g(t), h(t)\rangle\). a. Assume that \(\lim \mathbf{r}(t)=\mathbf{L}=\left\langle L_{1}, L_{2}, L_{3}\right\rangle,\) which means that \(\lim _{t \rightarrow a}|\mathbf{r}(t)-\mathbf{L}|=0 .\) Prove that \(\lim _{t \rightarrow a} f(t)=L_{1}, \quad \lim _{t \rightarrow a} g(t)=L_{2}, \quad\) and \(\quad \lim _{t \rightarrow a} h(t)=L_{3}\). b. Assume that \(\lim _{t \rightarrow a} f(t)=L_{1}, \lim _{t \rightarrow a} g(t)=L_{2},\) and \(\lim _{t \rightarrow a} h(t)=L_{3} .\) Prove that \(\lim _{t \rightarrow a} \mathbf{r}(t)=\mathbf{L}=\left\langle L_{1}, L_{2}, L_{3}\right\rangle\) which means that \(\lim _{t \rightarrow a}|\mathbf{r}(t)-\mathbf{L}|=0\).

An ant walks due east at a constant speed of \(2 \mathrm{mi} / \mathrm{hr}\) on a sheet of paper that rests on a table. Suddenly, the sheet of paper starts moving southeast at \(\sqrt{2} \mathrm{mi} / \mathrm{hr} .\) Describe the motion of the ant relative to the table.

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