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Find the distance between \({\mathop{\rm u}\nolimits} = \left( {\begin{aligned}{*{20}{c}}0\\{ - 5}\\2\end{aligned}} \right)\) and \({\mathop{\rm z}\nolimits} = \left( {\begin{aligned}{*{20}{c}}{ - 4}\\{ - 1}\\8\end{aligned}} \right)\).

Short Answer

Expert verified

The distance between the vectors u and z is \({\mathop{\rm dist}\nolimits} \left( {{\mathop{\rm u}\nolimits} ,{\mathop{\rm z}\nolimits} } \right) = 2\sqrt {17} \).

Step by step solution

01

Distance in \({\mathbb{R}^n}\)

Thelength of the vectoris thedistance between u and v in \({\mathbb{R}^n}\), expressed as \({\mathop{\rm dist}\nolimits} \left( {{\mathop{\rm u}\nolimits} ,v} \right)\). Therefore, \({\mathop{\rm dist}\nolimits} \left( {{\mathop{\rm u}\nolimits} ,v} \right) = \left\| {{\mathop{\rm u}\nolimits} - v} \right\|\).

02

Find the distance between the vectors

Compute \({\mathop{\rm u}\nolimits} - {\mathop{\rm z}\nolimits} \) as shown below:

\(\begin{aligned}{c}{\mathop{\rm u}\nolimits} - {\mathop{\rm z}\nolimits} &= \left( {\begin{aligned}{*{20}{c}}0\\{ - 5}\\2\end{aligned}} \right) - \left( {\begin{aligned}{*{20}{c}}{ - 4}\\{ - 1}\\8\end{aligned}} \right)\\ &= \left( {\begin{aligned}{*{20}{c}}{0 + 4}\\{ - 5 + 1}\\{2 - 8}\end{aligned}} \right)\\ &= \left( {\begin{aligned}{*{20}{c}}4\\{ - 4}\\{ - 6}\end{aligned}} \right)\end{aligned}\)

Compute the distance between the vectors as shown below:

\(\begin{aligned}{c}{\mathop{\rm dist}\nolimits} \left( {{\mathop{\rm u}\nolimits} ,{\mathop{\rm z}\nolimits} } \right) &= \left\| {{\mathop{\rm u}\nolimits} - {\mathop{\rm z}\nolimits} } \right\|\\ &= \sqrt {{{\left( 4 \right)}^2} + {{\left( { - 4} \right)}^2} + {{\left( { - 6} \right)}^2}} \\ &= \sqrt {16 + 16 + 36} \\ &= \sqrt {68} \\ &= 2\sqrt {17} \end{aligned}\)

Thus, the distance between the vectors u and z is \({\mathop{\rm dist}\nolimits} \left( {{\mathop{\rm u}\nolimits} ,{\mathop{\rm z}\nolimits} } \right) = 2\sqrt {17} \).

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Most popular questions from this chapter

Suppose the x-coordinates of the data \(\left( {{x_1},{y_1}} \right), \ldots ,\left( {{x_n},{y_n}} \right)\) are in mean deviation form, so that \(\sum {{x_i}} = 0\). Show that if \(X\) is the design matrix for the least-squares line in this case, then \({X^T}X\) is a diagonal matrix.

In Exercises 1-4, find a least-sqaures solution of \(A{\bf{x}} = {\bf{b}}\) by (a) constructing a normal equations for \({\bf{\hat x}}\) and (b) solving for \({\bf{\hat x}}\).

4. \(A = \left( {\begin{aligned}{{}{}}{\bf{1}}&{\bf{3}}\\{\bf{1}}&{ - {\bf{1}}}\\{\bf{1}}&{\bf{1}}\end{aligned}} \right)\), \({\bf{b}} = \left( {\begin{aligned}{{}{}}{\bf{5}}\\{\bf{1}}\\{\bf{0}}\end{aligned}} \right)\)

Suppose radioactive substance A and B have decay constants of \(.02\) and \(.07\), respectively. If a mixture of these two substances at a time \(t = 0\) contains \({M_A}\) grams of \(A\) and \({M_B}\) grams of \(B\), then a model for the total amount of mixture present at time \(t\) is

\(y = {M_A}{e^{ - .02t}} + {M_B}{e^{ - .07t}}\) (6)

Suppose the initial amounts \({M_A}\) and are unknown, but a scientist is able to measure the total amounts present at several times and records the following points \(\left( {{t_i},{y_i}} \right):\left( {10,21.34} \right),\left( {11,20.68} \right),\left( {12,20.05} \right),\left( {14,18.87} \right)\) and \(\left( {15,18.30} \right)\).

a.Describe a linear model that can be used to estimate \({M_A}\) and \({M_B}\).

b. Find the least-squares curved based on (6).

Determine which pairs of vectors in Exercises 15-18 are orthogonal.

15. \({\mathop{\rm a}\nolimits} = \left( {\begin{aligned}{*{20}{c}}8\\{ - 5}\end{aligned}} \right),{\rm{ }}{\mathop{\rm b}\nolimits} = \left( {\begin{aligned}{*{20}{c}}{ - 2}\\{ - 3}\end{aligned}} \right)\)

In Exercises 9-12, find a unit vector in the direction of the given vector.

12. \(\left( {\begin{array}{*{20}{c}}{\frac{8}{3}}\\2\end{array}} \right)\)

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