2. Balancing Forces and Torques
Problem 2.27: Tackling tackles and pulling pulleys
Problem 2.28: Angles between three balanced forces
We consider three masses $m_1$, $m_2$, and $m_3$. With three ropes they are attached to a ring at position $\mathbf q_0$. The ropes with the attached masses hang over the edge of a table at the fixed positions $\mathbf q_1 = (x_1 , \, 0)$, $\mathbf q_2 = (0 , \, y_2)$, and $\mathbf q_3 = (w, \, y_3)$. Here, $w$ denotes the width of the table board. We now determine the angles $\theta_{ij}$ between the ropes from $\mathbf q_0$ to $\mathbf q_i$ and $\mathbf q_j$, respectively.
Figure 2.26: Setup of Problem 2.28.
a) Let $\hat{\boldsymbol e}_i = (\mathbf q_i - \mathbf q_0) / |\mathbf q_i - \mathbf q_0|$ be the unit vectors pointing from the ring to the positions where the ropes hang over the table edge, and $\theta_{ij}$ be the angle between $\hat{\boldsymbol e}_i$ and $\hat{\boldsymbol e}_j$. Argue why \begin{align*} \mathbf 0 = \sum_{i=1}^3 m_i \, \hat{\boldsymbol e}_i \end{align*} Multiplying this equation with $\hat{\boldsymbol e}_1$, $\dots$ $\hat{\boldsymbol e}_3$ provides three equations that are linear in $\cos \theta_{ij}$. The first one is $ 0 = M_1 + M_2 \, \cos\theta_{12} + M_3 \, \cos\theta_{13}$. Find the other two equation, and solve the equations as follows.
From the equation that is given above you find $\cos\theta_{12}$ in terms of $\cos\theta_{13}$.
Inserting this into the other equation involving $\cos\theta_{12}$ (and rearranging terms) provides $\cos\theta_{23}$ in terms of $\cos\theta_{13}$.
Inserting this into the third equation provides \begin{align*} \cos\theta_{13} = \frac{M_2^2 - M_1^2 - M_3^2}{2 \, M_1 \, M_3} \end{align*}
b) Which angle $\theta_{23}$ do you find when $M_1 = M_2 = M_3$? The three forces have the same absolute value in this case. Which symmetry argument does then also provide the value of the angle?
c) Determine also the other two angles $\theta_{13}$ and $\theta_{12}$. They can also be found from a symmetry argument without calculation.
d) Note that we found the angles $\theta_{ij}$ without referring to the positions $\mathbf q_1$, $\dots$ $\mathbf q_3$! Make a sketch what this implies for the position of the ring, and how $\mathbf q_0$ changes qualitatively upon changing a mass.
e) The calculation of the position $\mathbf q_0$ can then be attacked by observing that
\begin{align*}
\mathbf q_0
= \mathbf q_1 + l_1 { \cos\beta \choose \sin\beta }
= \mathbf q_2 + l_2 { \sin\alpha \choose -\cos\alpha }
= \mathbf q_3 + l_3 {-\sin\gamma \choose -\cos\gamma }
\end{align*}
where $l_i$ is the distance of the ring to the position where rope $i$ hangs over the table. Further, the fact that the angles of quadrilaterals add to $2\pi$ provides
\begin{align*}
\alpha = \theta_{23} - \gamma
\qquad\text{and}\qquad
\beta = \frac{3\pi}{2} - \gamma - \theta_{13}
\end{align*}
Altogether these are $8$ equations to determine the two components of $\mathbf q_0$, $l_1$, $\dots$ $l_3$, and the angles $\alpha$, $\beta$ and $\gamma$. Determine $\mathbf q_0$.
Problem 2.29: Torques acting on a ladder
Figure 2.27 shows the setup of a ladder leaning to a wall. The indicated angle from the downwards vertical to the ladder is denoted as $\theta$. There is a gravitational force of magnitude $Mg$ acting of a ladder of mass $M$. At the point where it leans to the wall there is a normal force $\mathbf N$ acting from the wall to the ladder. At the ladder feet there is a normal force to the ground $\vec f$, and a tangential friction force of magnitude $\gamma_1 f$.
based on original: Bradley, vector: Sarang / wikimedia, public domain
Figure 2.27: Setup for Problem 2.29: leaning a ladder to a wall.
Problem 2.30: Walking a yoyo
The sketch to the right shows a yoyo of mass $m$ standing on the ground. It is held at a chord that extends to the top right. There are four forces acting on the yoyo: gravity $m \mathbf g$, a normal force $\mathbf N$ from the ground, a friction force $\mathbf R$ at the contact to the ground, and the force $\mathbf F$ due to the chord. The chord is wrapped around an axle of radius $r_1$. The outer radius of the yoyo is $r_2$.
Problem 2.31: Retro-reflector paths on bike wheels
The more traffic you encounter when it becomes dark the more important it becomes to make your bikes visible. Retro-reflectors fixed in the sparks enhance the visibility to the sides. They trace a path of a curtate trochoid that is characterized by the ratio $\rho$ of the reflectors distance $d$ to the wheel axis and the wheel radius $r$. A small stone in the profile traces a cycloid ($\rho=1$). Animations of the trajectories can be found at https://en.wikipedia.org/wiki/Trochoid,
http://katgym.by.lo-net2.de/c.wolfseher/web/zykloiden/zykloiden.html,
and in the Sage playground
where it is shown how to generate the following plots:
A trochoid is most easily described in two steps: Let $\mathbf M(\theta)$ be the position of the center of the disk, and $\mathbf D(\theta)$ the vector from the center to the position $\mathbf q(\theta)$ that we follow (i.e. the position of the retro-reflector) such that $ \mathbf q(\theta) = \mathbf M(\theta) + \mathbf D(\theta) $.
a) The point of contact of the wheel with the street at the initial time $t_0$ is the origin of the coordinate system. Moreover, we single out one spark and denote the change of its angle with respect to its initial position as $\theta$. Note that negative angles $\theta$ describe forward motion of the wheel! Sketch the setup and show that \begin{align*} \mathbf M(\theta) = \begin{pmatrix} - r \theta \\ r \end{pmatrix} \, , \qquad \mathbf D(\theta) = \begin{pmatrix} - d \, \sin( \varphi + \theta ) \\ d \, \cos( \varphi + \theta ) \end{pmatrix} \, . \end{align*} What is the meaning of $\varphi$ in this equation?
b) The length of the track of a trochoid can be determined by integrating the modulus of its velocity over time, $ L = \int_{t_0}^{t} \mathrm{d} t \; \left| \dot{ \mathbf q } ( \theta(t) ) \right| $. Show that therefore \begin{align*} L = r \: \int_{0}^{\theta} \mathrm{d} \theta \: \sqrt{ 1 + \rho^2 + 2 \rho\, \cos(\varphi+\theta )} \end{align*}
c) Consider now the case of a cycloid and use $\cos(2x) = \cos^2x - \sin^2x$ to show that the expression for $L$ can then be written as \begin{align*} L = 2 \, r \: \int_{0}^{\theta} \mathrm{d} \theta \: \left| \cos\frac{\varphi+\theta}{2} \right| \end{align*} How long is one period of the track traced out by a stone picked up by the wheel profile?
Problem 2.32: The natural numbers modulo $n$ are a group
We consider here groups $G_n$ where the combined action of group elements can be represented as a sum of two numbers modulo $n \in \mathbb N$. In other words, for the elements of $G_n$ can be represented by the numbers $\{ 0, \dots, n-1 \}$, and for all $a,b \in G_n$ we define $a \circ b = ( a + b ) \mathrm{mod} n$.
Problem 2.33: Groups with four elements
In Problem 2.32 we encountered the group $G_n$. Here, we will study another group with four elements. The neutral element will be denoted as $n$.
Problem 2.34: Conic Sections
Figure 2.28: Conic sections for different eccentricity $\epsilon$.
i.e., the ratio of the slope of the plane $\mathsf P$ and the surface of the double cone,
as observed in a plane that contains the axis of the double cone and is orthogonal to $\mathsf P$.}
A conic section describes the line of intersection of a double cone $\mathsf C$ and a plane $\mathsf P$ in three dimensions. In the margin we show the shape of conic sections for different inclinations that are characterized by the eccentricity $\epsilon$. Depending on the inclination of the plane one observes
Problem 2.35: Linear dependence of three vectors in 2D
In the lecture I pointed out that every vector $\mathbf v = (v_1, v_2)$ of a two-dimensional vector space can be represented as a unique linear combination of two linearly independent vectors $\mathbf a$ and $\mathbf b$, \[ \mathbf v = \alpha \: \mathbf a + \beta \: \mathbf b \] In this exercise we revisit this statement for $\mathbb{R}^2$ with the standard forms of vector addition and multiplication by scalars.
a) Provide a triple of vectors $\mathbf a$, $\mathbf b$ and $\mathbf v$ such that $\mathbf v$ can not be represented as a scalar combination of $\mathbf a$ and $\mathbf b$.
b) To be specific we henceforth fix \[ \mathbf a = \begin{pmatrix} -1 \\ 1 \end{pmatrix} \, , \qquad \mathbf b = \begin{pmatrix} 1 \\ 1 \end{pmatrix} \, , \qquad \mathbf v = \begin{pmatrix} 2 \\ -2 \end{pmatrix} \] Determine the numbers $\alpha$ and $\beta$ such that \[ \mathbf v = \alpha \: \mathbf a + \beta \: \mathbf b \]
c) Consider now also a third vector
\[ \mathbf c = \begin{pmatrix} 0 \\ 1 \end{pmatrix} \]
and find two different choices for $(\alpha, \beta, \gamma)$ such that
\[
\mathbf v = \alpha \: \mathbf a + \beta \: \mathbf b + \gamma \mathbf c
\]
What is the general constraints on $(\alpha, \beta, \gamma)$ such that
$\mathbf v = \alpha \: \mathbf a + \beta \: \mathbf b + \gamma \mathbf c$.
What does this imply on the number of solutions?
d) Discuss now the linear dependence of the vectors $\mathbf a$, $\mathbf b$ and $\mathbf c$ by exploring the solutions of \[ \mathbf 0 = \alpha \: \mathbf a + \beta \: \mathbf b + \gamma \mathbf c \] How are the constraints for the null vector related to those obtained in part c)?
Problem 2.36: Algebraic number fields
Consider the set $\mathbb{K} = \mathbb{Q} + I \mathbb{Q}$ with $I^2 \in \mathbb{Q}$. We define the operations $+$ and $\cdot$ in analogy to those of the complex numbers (cf. Example 2.13): For $z_1 = x_1 + I y_1$ and $z_2 = x_2 + I y_2$ we have $x_1, y_1, x_2, y_2 \in \mathbb{Q}$ and \begin{align*} \forall z_1, z_2 \in \mathbb{K} : & z_1 + z_2 = (x_1+x_2) + I \, (y_1+y_2) \\ & z_1 \cdot z_2 = (x_1\, x_2 + I^2 \, y_1 y_2) + I \, (x_1\, y_2 + y_1 \, x_2) \\ \forall c \in \mathbb{Q} , z=(x+\mathrm{i} y) \in \mathbb{K} : & c z = c\, x + I \, y \end{align*}
Problem 2.37: Bases for polynomials
We consider the set of polynomials $\mathbb{P}_N$ of degree $N$ with real coefficients $p_n$, $n \in \{0, \dots, N \}$, \begin{align*} \mathbb{P}_N := \left\{ \mathbf p = \left( \sum_{k=0}^N p_k \, x^k \right) \quad\text{with } p_k \in \mathbb{R}, k \in \{0, \dots, N \} \right\} \end{align*}
a) Demonstrate that $( \mathbb{P}_N , \mathbb{R}, +, \cdot )$ is a vector space when one adopts the operations \begin{align*} \forall \quad \mathbf p = \left( \sum_{k=0}^N p_k \, x^k \right) \in \mathbb{P}_N \, , \quad \mathbf q = \left( \sum_{k=0}^N q_k \, x^k \right) \in \mathbb{P}_N \, , \text{ and } c \in \mathbb{R} \; : \\ \mathbf{p} + \mathbf{q} = \left( \sum_{k=0}^N (p_k+q_k) \, x^k \right) \quad \text{ and } \quad c \cdot \mathbf{p} = \left( \sum_{k=0}^N (c\, p_k) \, x^k \right) \, . \end{align*}
b) Demonstrate that \begin{align*} \mathbf{p} \cdot \mathbf{q} = \left( \int_0^1 \mathrm{d} x \left( \sum_{k=0}^N p_k \, x^k \right) \, \left( \sum_{j=0}^N q_j \, x^j \right) \right) \, , \\ \end{align*} establishes a scalar product on this vector space.
c) Demonstrate that the three polynomials $\mathbf b_0 = (1)$, $\mathbf b_1 = (x)$ and $\mathbf b_2 = (x^2)$ form a basis of the vector space $\mathbb{P}_2$: For each polynomial $\mathbf p$ in $\mathbb{P}_2$ there are real numbers $x_k$, $k\in\{0,1,2\}$, such that $\mathbf p = x_0 \, \mathbf b_0 + x_1 \, \mathbf b_1 + x_2 \, \mathbf b_2$. However, in general we have $x_i \neq \mathbf p \cdot \mathbf b_i$. Why is that?
d) Demonstrate that the three vectors $\hat{\boldsymbol e}_0 = (1)$, $\hat{\boldsymbol e}_1 = \sqrt{3} \, (2\, x-1) $ and $\hat{\boldsymbol e}_2 = \sqrt{5} \, ( 6\, x^2 - 6\, x + 1)$ are orthonormal.
e) Demonstrate that every vector $\mathbf p \in \mathbb{P}_2$ can be written as a scalar combination of $( \hat{\boldsymbol e}_0, \hat{\boldsymbol e}_1, \hat{\boldsymbol e}_2 )$, \begin{align*} \mathbf p = ( \mathbf p \cdot \hat{\boldsymbol e}_0 ) \, \hat{\boldsymbol e}_0 + ( \mathbf p \cdot \hat{\boldsymbol e}_1 ) \, \hat{\boldsymbol e}_1 + ( \mathbf p \cdot \hat{\boldsymbol e}_2 ) \, \hat{\boldsymbol e}_2 \, . \end{align*} Hence, $( \hat{\boldsymbol e}_0, \hat{\boldsymbol e}_1, \hat{\boldsymbol e}_2 )$ form an orthonormal basis of $\mathbb{P}_2$.
f) Find a constant $c$ and a vector $\hat{\boldsymbol n}_1$, such that $\hat{\boldsymbol n}_0 = (c \, x)$ and $\hat{\boldsymbol n}_1$ form an orthonormal basis of $\mathbb{P}_1$.
Problem 2.38: Systems of linear equations
A system of $N$ linear equations of $M$ variables $x_1$, $\dots$ $x_M$ comprises $N$ equations of the form \begin{align*} b_1 &= a_{11} \, x_1 + a_{12} \, x_2 + \dots + a_{1M} \, x_M \\ b_2 &= a_{21} \, x_1 + a_{22} \, x_2 + \dots + a_{2M} \, x_M \\ \vdots & \qquad \vdots \\ b_N &= a_{N1} \, x_1 + a_{N2} \, x_2 + \dots + a_{NM} \, x_M \end{align*} where $b_i, a_{ij} \in \mathbb{R}$ for $i \in \{ 1, \dots, N \}$ and $j \in \{ 1, \dots, M\}$.
a) Demonstrate that the linear equations $( \mathbb{L}_M , \mathbb{R}, +, \cdot )$ form a vector space when one adopts the operations \begin{align*} \forall \quad & \mathbf p = \bigl[ p_0 = p_{1} \, x_1 + p_{2} \, x_2 + \dots + p_{M} \, x_M \bigr] \in \mathbb{L}_N \, , \\ & \mathbf q = \bigl[ q_0 = q_{1} \, x_1 + q_{2} \, x_2 + \dots + q_{M} \, x_M \bigr] \in \mathbb{L}_N \, , \\ & c \in \mathbb{R} \; : \\ \mathbf{p} + \mathbf{q} &= \bigl[ p_0+q_0 = (p_1+q_1) \, x_1 + (p_2+q_2) \, x_2 + \dots + (p_M+q_M) \, x_M \bigr] \\ c \cdot \mathbf{p} &= \bigl[ c\, p_0 = c\,p_1 \, x_1 + c\,p_2 \, x_2 + \dots + c\,p_M \, x_M \bigr] \, . \end{align*} How do these operations relate to the operations performed in Gauss elimination to solve the system of linear equations?
b) The system of linear equations can also be stated in the following form \begin{align*} \begin{pmatrix} b_1 \\ b_2 \\ \vdots \\ b_N \end{pmatrix} &= \begin{pmatrix} a_{11} \\ a_{21} \\ \vdots \\ a_{N1} \end{pmatrix} \, x_1 + \begin{pmatrix} a_{12} \\ a_{22} \\ \vdots \\ a_{N2} \end{pmatrix} \, x_2 + \dots + \begin{pmatrix} a_{1M} \\ a_{2M} \\ \vdots \\ a_{NM} \end{pmatrix} \, x_M \\ \Leftrightarrow\qquad \mathbf b &= x_1 \: \mathbf a_1 + x_2 \: \mathbf a_2 + \dots + x_M \: \mathbf a_M \end{align*} where $\mathbf b$ is expressed as a linear combination of $\mathbf a_1$, $\dots$ $\mathbf a_M$ by means of the numbers $x_1$, $\dots$, $x_M$. What do the conditions on linear independence and representation of vectors by means of a basis tell about the existence and uniqueness of the solutions of a system of linear equations?
Problem 2.39: Crossing a river
A ferry is towed at the bank of a river of width $B=100\;$m that is flowing at a velocity $v_F = 4\;$m/s to the right. At time $t=0\;$s it departs and is heading with a constant velocity $v_B = 10\;$km/h to the opposite bank.
Problem 2.40: Piling bricks
At Easter and Christmas Germans consume enormous amounts of chocolate. If you happen to come across a considerable pile of chocolate bars (or beer mats, or books, or anything else of that form) I recommend the following experiment:
Problem 2.41: Where does the bike go?
Consider the picture of the bicycle to the left.
The red arrow indicates a force that is acting on the paddle in backward direction.
Will the bicycle move forwards or backwards? Take a bike and do the experiment!
Problem 2.42: Hypotrochoids, roulettes, and the Spirograph
A roulette is the curve traced by a point (called the generator or pole) attached to a disk or other geometric object when that object rolls without slipping along a fixed track. A pole on the circumference of a disk that rolls on a straight line generates a cycloid. A pole inside that disk generates a trochoid. If the disk rolls along the inside or outside of a circular track it generates a hypotrochoid. The latter curves can be drawn with a spirograph, a beautiful drawing toy based on gears that illustrates the mathematical concepts of the least common multiple (LCM) and the lowest common denominator (LCD).
wikimedia, public domain