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In Exercises 7 and 8, find the barycentric coordinates of p with respect to the affinely independent set of points that precedes it.

8. \(\left( {\begin{array}{{}}0\\1\\{ - 2}\\1\end{array}} \right),\left( {\begin{array}{{}}1\\1\\0\\2\end{array}} \right),\left( {\begin{array}{{}}1\\4\\{ - 6}\\5\end{array}} \right)\), \({\mathop{\rm p}\nolimits} = \left( {\begin{array}{{}}{ - 1}\\1\\{ - 4}\\0\end{array}} \right)\)

Short Answer

Expert verified

The barycentric coordinates are \(\left( {2, - 1,0} \right)\).

Step by step solution

01

The barycentric coordinates

Consider the set \(S = \left\{ {{{\mathop{\rm v}\nolimits} _1},{{\mathop{\rm v}\nolimits} _2},...,{{\mathop{\rm v}\nolimits} _k}} \right\}\)as an affinely independent.So, for every point \({\mathop{\rm p}\nolimits} \) in \({\mathop{\rm aff}\nolimits} S\), the coefficients \({c_1},...,{c_k}\) in the unique representation (7) of \({\mathop{\rm p}\nolimits} \) are referred to as barycentric coordinates(or sometimes, affine) of \({\mathop{\rm p}\nolimits} \).

02

Write the augmented matrix 

Move the last row of ones to the top to simplify the arithmetic.

Write the augmented matrix as shown below:

\(\left( {\begin{array}{{}}{\widetilde {{{\bf{v}}_1}}}&{\widetilde {{{\bf{v}}_2}}}&{\widetilde {{{\bf{v}}_3}}}&{\widetilde {\bf{p}}}\end{array}} \right) \sim \left( {\begin{array}{{}}0&1&1&{ - 1}\\1&1&4&1\\{ - 2}&0&{ - 6}&{ - 4}\\1&2&5&0\\1&1&1&1\end{array}} \right)\)

03

Apply row operations

Interchange row 1 and row 2.

\( \sim \left( {\begin{array}{{}}1&1&4&1\\0&1&1&{ - 1}\\{ - 2}&0&{ - 6}&{ - 4}\\1&2&5&0\\1&1&1&1\end{array}} \right)\)

At row 3, multiply row 1 by 2 and add it to row 3.

\( \sim \left( {\begin{array}{{}}1&1&4&1\\0&1&1&{ - 1}\\0&2&2&{ - 2}\\1&2&5&0\\1&1&1&1\end{array}} \right)\)

At row 4, subtract row 1 from row 4. At row 5, subtract row 1 from row 5. At row 1, subtract row 2 from row 1.

\( \sim \left( {\begin{array}{{}}1&0&3&2\\0&1&1&{ - 1}\\0&2&2&{ - 2}\\0&1&1&{ - 1}\\0&0&{ - 3}&0\end{array}} \right)\)

At row 3, multiply row 2 by 2 and subtract it from row 3.

\( \sim \left( {\begin{array}{{}}1&0&3&2\\0&1&1&{ - 1}\\0&0&0&0\\0&1&1&{ - 1}\\0&0&{ - 3}&0\end{array}} \right)\)

At row 4, subtract row 2 from row 4.

\( \sim \left( {\begin{array}{{}}1&0&3&2\\0&1&1&{ - 1}\\0&0&0&0\\0&0&0&0\\0&0&{ - 3}&0\end{array}} \right)\)

Interchange row 3 and row 5.

\( \sim \left( {\begin{array}{{}}1&0&3&2\\0&1&1&{ - 1}\\0&0&{ - 3}&0\\0&0&0&0\\0&0&0&0\end{array}} \right)\)

At row 1, multiply row 3 by 3 and subtract it from row 1.

\( \sim \left( {\begin{array}{{}}1&0&3&2\\0&1&1&{ - 1}\\0&0&1&0\\0&0&0&0\\0&0&0&0\end{array}} \right)\)

04

Determine the barycentric coordinates of p

Convert the matrix into the system of equations as shown below

\(\begin{array}{}{{\mathop{\rm x}\nolimits} _1} + 3{{\mathop{\rm x}\nolimits} _3} = 2\\{{\mathop{\rm x}\nolimits} _2} + {{\mathop{\rm x}\nolimits} _3} = - 1\\{{\mathop{\rm x}\nolimits} _3} = 0\end{array}\)

Solve the system of the equation to obtain as shown below

\({{\mathop{\rm x}\nolimits} _1} = 2,{\rm{ }}{{\mathop{\rm x}\nolimits} _2} = - 1,{\rm{ }}{{\mathop{\rm x}\nolimits} _3} = 0\)

The coordinates are \(2, - 1,\,\,\,{\mathop{\rm and}\nolimits} \,\,0\), so \({\bf{p}} = 2{{\bf{v}}_1} - {{\bf{v}}_2} + 0{{\bf{v}}_3}\).

Thus, the barycentric coordinates are \(\left( {2, - 1,0} \right)\).

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Most popular questions from this chapter

In Exercises 21–24, a, b, and c are noncollinear points in\({\mathbb{R}^{\bf{2}}}\)and p is any other point in\({\mathbb{R}^{\bf{2}}}\). Let\(\Delta {\bf{abc}}\)denote the closed triangular region determined by a, b, and c, and let\(\Delta {\bf{pbc}}\)be the region determined by p, b, and c. For convenience, assume that a, b, and c are arranged so that\(\left[ {\begin{array}{*{20}{c}}{\overrightarrow {\bf{a}} }&{\overrightarrow {\bf{b}} }&{\overrightarrow {\bf{c}} }\end{array}} \right]\)is positive, where\(\overrightarrow {\bf{a}} \),\(\overrightarrow {\bf{b}} \)and\(\overrightarrow {\bf{c}} \)are the standard homogeneous forms for the points.

24. Take q on the line segment from b to c and consider the line through q and a, which may be written as\(p = \left( {1 - x} \right)q + xa\)for all real x. Show that, for each x,\(det\left[ {\begin{array}{*{20}{c}}{\widetilde p}&{\widetilde b}&{\widetilde c}\end{array}} \right] = x \cdot det\left[ {\begin{array}{*{20}{c}}{\widetilde a}&{\widetilde b}&{\widetilde c}\end{array}} \right]\). From this and earlier work, conclude that the parameter x is the first barycentric coordinate of p. However, by construction, the parameter x also determines the relative distance between p and q along the segment from q to a. (When x = 1, p = a.) When this fact is applied to Example 5, it shows that the colors at vertex a and the point q are smoothly interpolated as p moves along the line between a and q.

Question: In Exercises 15-20, write a formula for a linear functional f and specify a number d, so that \(\left( {f:d} \right)\) the hyperplane H described in the exercise.

Let H be the column space of the matrix \(B = \left( {\begin{array}{*{20}{c}}{\bf{1}}&{\bf{0}}\\{ - {\bf{4}}}&{\bf{2}}\\{\bf{7}}&{ - {\bf{6}}}\end{array}} \right)\). That is, \(H = {\bf{Col}}\,B\).(Hint: How is \({\bf{Col}}\,B\) related to Nul \({B^T}\)? See section 6.1)

Question: 16. Let \({\rm{v}} \in {\mathbb{R}^n}\)and let \(k \in \mathbb{R}\). Prove that \(S = \left\{ {{\rm{x}} \in {\mathbb{R}^n}:{\rm{x}} \cdot {\rm{v}} = k} \right\}\)is an affine subset of \({\mathbb{R}^n}\).

In Exercises 21-26, prove the given statement about subsets A and B of \({\mathbb{R}^n}\), or provide the required example in \({\mathbb{R}^2}\). A proof for an exercise may use results from earlier exercises (as well as theorems already available in the text).

22. If \(A \subset B\), then \(affA \subset aff B\).

Let\(\left\{ {{p_1},{p_2},{p_3}} \right\}\)be an affinely dependent set of points in\({\mathbb{R}^{\bf{n}}}\)and let\(f:{\mathbb{R}^{\bf{n}}} \to {\mathbb{R}^{\bf{m}}}\)be a linear transformation. Show that\(\left\{ {f\left( {{{\bf{p}}_1}} \right),f\left( {{{\bf{p}}_2}} \right),f\left( {{{\bf{p}}_3}} \right)} \right\}\)is affinely dependent in\({\mathbb{R}^{\bf{m}}}\).

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