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Find the equations of the lines through the following pairs of points in space. (a) \((3,-2,4)\) and \((-5,7,1)\) (b) \((2,4,0)\) and \((-3,-6,0)\) (c) \((3,7,2)\) and \((3,7,-8)\) (d) \((-2,-1,5)\) and \((3,9,7)\)

Short Answer

Expert verified
\(\\ (a)\ x = 3-8t, y = -2+9t, z = 4-3t \\ (b)\ x = 2-5t, y = 4-10t, z = 0 \\ (c)\ x = 3, y = 7, z = 2-10t \\ (d)\ x = -2+5t, y = -1+10t, z = 5+2t\)

Step by step solution

01

Determine the Direction Vector

For each pair of points, we need to determine the direction vector, it is the difference between two points. Define the direction vector \(\bold{d} = \langle d_x, d_y, d_z\rangle\), where \(d_x = x_2 - x_1, d_y = y_2 - y_1, d_z = z_2 - z_1\): (a) \(\bold{d}_a = \langle -5-3, 7-(-2), 1-4\rangle = \langle -8, 9, -3\rangle\) (b) \(\bold{d}_b = \langle -3-2, -6-4, 0-0\rangle = \langle -5, -10, 0\rangle\) (c) \(\bold{d}_c = \langle 3-3, 7-7, -8-2\rangle = \langle 0, 0, -10\rangle\) (d) \(\bold{d}_d = \langle 3-(-2), 9-(-1), 7-5\rangle = \langle 5, 10, 2\rangle\)
02

Set Up the Parametric Equations

Now, we will plug in the direction vectors, as well as one of the points, into the parametric equation of a line in 3D space, which has the form \(\bold{r} = \bold{p} + t\bold{d}\), where \(\bold{r} = \langle x, y, z\rangle\), \(\bold{p}\) is a point on the line, \(t\) is a scalar parameter, and \(\bold{d}\) is the direction vector. (a) \(\bold{r}_a = \langle 3, -2, 4\rangle + t\langle -8, 9, -3\rangle = \langle 3-8t, -2+9t, 4-3t\rangle\) (b) \(\bold{r}_b = \langle 2, 4, 0\rangle + t\langle -5, -10, 0\rangle = \langle 2-5t, 4-10t, 0\rangle\) (c) \(\bold{r}_c = \langle 3, 7, 2\rangle + t\langle 0, 0, -10\rangle = \langle 3, 7, 2-10t\rangle\) (d) \(\bold{r}_d = \langle -2, -1, 5\rangle + t\langle 5, 10, 2\rangle = \langle -2+5t, -1+10t, 5+2t\rangle\) Now, we have the parametric equations for each line: (a) \(x = 3-8t\), \(y = -2+9t\), \(z = 4-3t\) (b) \(x = 2-5t\), \(y = 4-10t\), \(z = 0\) (c) \(x = 3\), \(y = 7\), \(z = 2-10t\) (d) \(x = -2+5t\), \(y = -1+10t\), \(z = 5+2t\)

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Most popular questions from this chapter

The vectors \(u_{1}=(2,-3,1), u_{2}=(1,4,-2), u_{3}=(-8,12,-4), u_{4}=\) \((1,37,-17)\), and \(u_{5}=(-3,-5,8)\) generate \(\mathrm{R}^{3} .\) Find a subset of the set \(\left\\{u_{1}, u_{2}, u_{3}, u_{4}, u_{5}\right\\}\) that is a basis for \(\mathrm{R}^{3}\).

In \(M_{m \times n}(F)\), let \(E^{i j}\) denote the matrix whose only nonzero entry is 1 in the \(i\) th row and \(j\) th column. Prove that \(\left\\{E^{i j}: 1 \leq i \leq m, 1 \leq j \leq n\right\\}\) is linearly independent.

The set of all \(n \times n\) matrices having trace equal to zero is a subspace \(W\) of \(M_{n \times n}(F)\) (see Example 4 of Section 1.3). Find a basis for W. What is the dimension of W?

Let \(S=\\{0,1\\}\) and \(F=R\). In \(\mathcal{F}(S, R)\), show that \(f=g\) and \(f+g=h\), where \(f(t)=2 t+1, g(t)=1+4 t-2 t^{2}\), and \(h(t)=5^{t}+1 .\)

Exercise require knowledge of the sum and direct sum of subspaces, as defined in the exercises of Section 1.3. Find examples of subspaces \(W_{1}\) and \(W_{2}\) of \(R^{3}\) such that \(\operatorname{dim}\left(W_{1}\right)>\) \(\operatorname{dim}\left(W_{2}\right)>0\) and (a) \(\operatorname{dim}\left(W_{1} \cap W_{2}\right)=\operatorname{dim}\left(W_{2}\right)\); (b) \(\operatorname{dim}\left(\mathrm{W}_{1}+\mathrm{W}_{2}\right)=\operatorname{dim}\left(\mathrm{W}_{1}\right)+\operatorname{dim}\left(\mathrm{W}_{2}\right)\); (c) \(\operatorname{dim}\left(\mathrm{W}_{1}+\mathrm{W}_{2}\right)<\operatorname{dim}\left(\mathrm{W}_{1}\right)+\operatorname{dim}\left(\mathrm{W}_{2}\right)\).

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