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a. If \(\mathbf{r}(t)=\langle a t, b t, c t\rangle\) with \(\langle a, b, c\rangle \neq\langle 0,0,0\rangle,\) show that the angle between \(\mathbf{r}\) and \(\mathbf{r}^{\prime}\) is constant for all \(t>0\) b. If \(\mathbf{r}(t)=\left\langle x_{0}+a t, y_{0}+b t, z_{0}+c t\right\rangle,\) where \(x_{0}, y_{0},\) and \(z_{0}\) are not all zero, show that the angle between \(\mathbf{r}\) and \(\mathbf{r}^{\prime}\) varies with \(t\) c. Explain the results of parts (a) and (b) geometrically.

Short Answer

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b. Showing that the angle between \(\mathbf{r}\) and \(\mathbf{r}'\) varies for all \(t\). #tag_title# Step 1: Calculate the Derivative of the Vector Function#tag_content#We are given the vector function \(\mathbf{r}(t)=\langle a \cos(t), b \sin(t), c t\rangle\). To find its derivative, we differentiate each component with respect to time t: $$\mathbf{r}'(t) = \frac{d}{dt}\langle a\cos(t), b\sin(t), ct\rangle = \langle -a\sin(t), b\cos(t), c\rangle$$ #tag_title# Step 2: Find the angle between \(\mathbf{r}\) and \(\mathbf{r}'\)#tag_content#To find the angle between \(\mathbf{r}\) and \(\mathbf{r}'\), we can use the formula: $$\cos(\theta) = \frac{\mathbf{r}(t) \cdot \mathbf{r}'(t)}{||\mathbf{r}(t)|| \cdot ||\mathbf{r}'(t)||}$$ First, take the dot product of the two vectors: $$\mathbf{r}(t) \cdot \mathbf{r}'(t) = (a\cos(t)) (-a\sin(t)) + (b\sin(t)) (b\cos(t)) + (ct)c = -a^2\cos(t)\sin(t) + b^2\sin(t)\cos(t) + c^2t$$ Now, calculate the magnitudes of both vectors: $$||\mathbf{r}(t)|| = \sqrt{(a\cos(t))^2 + (b\sin(t))^2 + (ct)^2} = \sqrt{a^2\cos^2(t) + b^2\sin^2(t) + c^2t^2}$$ $$||\mathbf{r}'(t)|| = \sqrt{(-a\sin(t))^2 + (b\cos(t))^2 + c^2} = \sqrt{a^2\sin^2(t) + b^2\cos^2(t) + c^2}$$ Plug these values back into the angle formula: $$\cos(\theta) = \frac{-a^2\cos(t)\sin(t) + b^2\sin(t)\cos(t) + c^2t}{\sqrt{a^2\cos^2(t) + b^2\sin^2(t) + c^2t^2} \cdot \sqrt{a^2\sin^2(t) + b^2\cos^2(t) + c^2}}$$ Since the numerator of the expression for \(\cos(\theta)\) depends on t and contains trigonometric functions, it is not constant, implying that the angle between \(\mathbf{r}\) and \(\mathbf{r}'\) varies for all \(t\). c. Geometric interpretation of the results in parts a and b. In part a, we have shown that the angle between the vector function \(\mathbf{r}(t)=\langle at, bt, ct\rangle\) and its derivative is constant for all \(t>0\). Geometrically, this means that the vector function and its tangent (the derivative) at any point in space maintain the same angle, regardless of time. In part b, we have shown that the angle between the vector function \(\mathbf{r}(t)=\langle a\cos(t), b\sin(t), ct\rangle\) and its derivative varies for all \(t\). Geometrically, this means that as the vector function changes with time, the angle between the vector function and its tangent (the derivative) also changes. This indicates a more dynamic and potentially curved path for the vector function in comparison to part a.

Step by step solution

01

Calculate the Derivative of the Vector Function

We are given the vector function \(\mathbf{r}(t)=\langle a t, b t, c t\rangle\). To find its derivative, we differentiate each component with respect to time t: $$\mathbf{r}'(t) = \frac{d}{dt}\langle a t, b t, c t\rangle = \langle a, b, c\rangle$$
02

Find the angle between \(\mathbf{r}\) and \(\mathbf{r}'\)

To find the angle between \(\mathbf{r}\) and \(\mathbf{r}'\), we can use the aforementioned formula: $$\cos(\theta) = \frac{\mathbf{r}(t) \cdot \mathbf{r}'(t)}{||\mathbf{r}(t)|| \cdot ||\mathbf{r}'(t)||}$$ First, take the dot product of the two vectors: $$\mathbf{r}(t) \cdot \mathbf{r}'(t) = (a t) a + (b t) b + (c t) c = t (a^2 + b^2 + c^2)$$ Now, calculate the magnitudes of both vectors: $$||\mathbf{r}(t)|| = \sqrt{(a t)^2 + (b t)^2 + (c t)^2} = t \sqrt{a^2 + b^2 + c^2}$$ $$||\mathbf{r}'(t)|| = \sqrt{a^2 + b^2 + c^2}$$ Plug these values back into the angle formula: $$\cos(\theta) = \frac{t (a^2 + b^2 + c^2)}{t \sqrt{a^2 + b^2 + c^2} \cdot \sqrt{a^2 + b^2 + c^2}}$$ Simplify and cancel terms: $$\cos(\theta) = \frac{a^2 + b^2 + c^2}{a^2 + b^2 + c^2} = 1$$ Since \(\cos(\theta)\) is a constant in this case, the angle between \(\mathbf{r}\) and \(\mathbf{r}'\) is constant for all \(t>0\)

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Angle Between Vectors
The angle between vectors is a measure of the orientation difference between two vectors. To calculate this angle, we use the dot product and magnitudes of the two vectors. The formula to find the angle \(\theta\) between two vectors \(\mathbf{a}\) and \(\mathbf{b}\) is given by:\[ \cos(\theta) = \frac{\mathbf{a} \cdot \mathbf{b}}{||\mathbf{a}|| \cdot ||\mathbf{b}||} \]
  • The numerator is the dot product \(\mathbf{a} \cdot \mathbf{b}\).
  • The denominator is the product of the magnitudes of the vectors.

When calculating the angle between a vector and its derivative, as in the exercise, the dot product helps determine if the vectors are affecting each other's direction. If the cosine of the angle is consistent, the angle is constant over time.
Derivative of Vector Functions
Taking the derivative of a vector function involves differentiating each component of the vector with respect to its parameter, typically time \(t\). For the function \(\mathbf{r}(t)=\langle a t, b t, c t\rangle\), the derivative is:\[\mathbf{r}'(t) = \langle a, b, c \rangle \]
  • For each component, apply \(\frac{d}{dt}\).
  • The result gives a constant vector \(\langle a, b, c \rangle \).

This means the direction as dictated by the derivative is steady and defines how the vector \(\mathbf{r}\) changes over time. This constant derivative observed in the exercise part (a) implies steady change, known as uniform linear motion.
Dot Product
The dot product (also known as scalar product) is an operation that takes two equal-length sequences of numbers (vectors) and returns a single number. It is calculated as:\[ \mathbf{a} \cdot \mathbf{b} = a_x b_x + a_y b_y + a_z b_z \]In the exercise, we observe:\[ \mathbf{r}(t) \cdot \mathbf{r}'(t) = t(a^2 + b^2 + c^2) \]
  • The result is influenced by a constant \((a^2 + b^2 + c^2)\) multiplied by \(t\).
  • Shows how the vectors overlap in practice.

The dot product is vital in determining both the angle between vectors and understanding how closely aligned they are, impacting whether the motion described by a vector is uniformly scaled.
Magnitude of Vectors
The magnitude of a vector, often called its length or size, is a measure of how long the vector is. For a vector \(\mathbf{v} = \langle v_x, v_y, v_z \rangle\), the magnitude is calculated as:\[ ||\mathbf{v}|| = \sqrt{v_x^2 + v_y^2 + v_z^2} \]In the solution provided:
  • \(||\mathbf{r}(t)|| = t \sqrt{a^2 + b^2 + c^2}\) showcases linear dependency on \(t\).
  • \(||\mathbf{r}'(t)|| = \sqrt{a^2 + b^2 + c^2}\) remains constant, showing no dependency on time.

This concept facilitates comparison of vector sizes and is crucial for normalizing vectors, comparing directions, and determining angles. Understanding magnitude helps clarify how vector length scales with different parameters.

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Most popular questions from this chapter

An object moves along an ellipse given by the function \(\mathbf{r}(t)=\langle a \cos t, b \sin t\rangle,\) for \(0 \leq t \leq 2 \pi,\) where \(a > 0\) and \(b > 0\) a. Find the velocity and speed of the object in terms of \(a\) and \(b\) for \(0 \leq t \leq 2 \pi\) b. With \(a=1\) and \(b=6,\) graph the speed function, for \(0 \leq t \leq 2 \pi .\) Mark the points on the trajectory at which the speed is a minimum and a maximum. c. Is it true that the object speeds up along the flattest (straightest) parts of the trajectory and slows down where the curves are sharpest? d. For general \(a\) and \(b\), find the ratio of the maximum speed to the minimum speed on the ellipse (in terms of \(a\) and \(b\) ).

Carry out the following steps to determine the (smallest) distance between the point \(P\) and the line \(\ell\) through the origin. a. Find any vector \(\mathbf{v}\) in the direction of \(\ell\) b. Find the position vector u corresponding to \(P\). c. Find \(\operatorname{proj}_{\mathbf{v}} \mathbf{u}\). d. Show that \(\mathbf{w}=\mathbf{u}-\) projy \(\mathbf{u}\) is a vector orthogonal to \(\mathbf{v}\) whose length is the distance between \(P\) and the line \(\ell\) e. Find \(\mathbf{w}\) and \(|\mathbf{w}| .\) Explain why \(|\mathbf{w}|\) is the distance between \(P\) and \(\ell\). \(P(1,1,-1) ; \ell\) has the direction of $$\langle-6,8,3\rangle$$.

Determine the equation of the line that is perpendicular to the lines \(\mathbf{r}(t)=\langle 4 t, 1+2 t, 3 t\rangle\) and \(\mathbf{R}(s)=\langle-1+s,-7+2 s,-12+3 s\rangle\) and passes through the point of intersection of the lines \(\mathbf{r}\) and \(\mathbf{R}\).

The definition \(\mathbf{u} \cdot \mathbf{v}=|\mathbf{u}||\mathbf{v}| \cos \theta\) implies that \(|\mathbf{u} \cdot \mathbf{v}| \leq|\mathbf{u}||\mathbf{v}|(\text {because}|\cos \theta| \leq 1) .\) This inequality, known as the Cauchy-Schwarz Inequality, holds in any number of dimensions and has many consequences. Consider the vectors \(\mathbf{u}, \mathbf{v},\) and \(\mathbf{u}+\mathbf{v}\) (in any number of dimensions). Use the following steps to prove that \(|\mathbf{u}+\mathbf{v}| \leq|\mathbf{u}|+|\mathbf{v}|\). a. Show that \(|\mathbf{u}+\mathbf{v}|^{2}=(\mathbf{u}+\mathbf{v}) \cdot(\mathbf{u}+\mathbf{v})=|\mathbf{u}|^{2}+\) \(2 \mathbf{u} \cdot \mathbf{v}+|\mathbf{v}|^{2}\). b. Use the Cauchy-Schwarz Inequality to show that \(|\mathbf{u}+\mathbf{v}|^{2} \leq(|\mathbf{u}|+|\mathbf{v}|)^{2}\). c. Conclude that \(|\mathbf{u}+\mathbf{v}| \leq|\mathbf{u}|+|\mathbf{v}|\). d. Interpret the Triangle Inequality geometrically in \(\mathbb{R}^{2}\) or \(\mathbb{R}^{3}\).

Determine the equation of the line that is perpendicular to the lines \(\mathbf{r}(t)=\langle-2+3 t, 2 t, 3 t\rangle\) and \(\mathbf{R}(s)=\langle-6+s,-8+2 s,-12+3 s\rangle\) and passes through the point of intersection of the lines \(\mathbf{r}\) and \(\mathbf{R}\).

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