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Consider the following geometric 2D transformations: D, a dilation (in which x-coordinates and y-coordinates are scaled by the same factor); R, a rotation; and T a translation. Does D commute with R? That is, is \(D\left( {R\left( {\bf{x}} \right)} \right) = R\left( {D\left( {\bf{x}} \right)} \right)\)for all \({\bf{x}}\) in \({\mathbb{R}^{\bf{2}}}\)? Does D commute with T? Does R commute with T?

Short Answer

Expert verified

D commutes with R, and matrices D and R do not commute with T.

Step by step solution

01

Write the transformation matrix for dilation, rotation, and translation

Let the transformation matrices in homogenous coordinates for dilation, rotation and translation be

\(D = \left[ {\begin{array}{*{20}{c}}s&0&0\\0&s&0\\0&0&1\end{array}} \right]\), \(R = \left[ {\begin{array}{*{20}{c}}{\cos \phi }&{ - \sin \phi }&0\\{\sin \phi }&{\cos \phi }&0\\0&0&1\end{array}} \right]\), and \(T = \left[ {\begin{array}{*{20}{c}}1&0&h\\0&1&k\\0&0&1\end{array}} \right]\).

02

Compute the product of transformation matrices

Calculate the value of \(DR\).

\(DR = \left[ {\begin{array}{*{20}{c}}{s\cos \phi }&{ - s\sin \phi }&0\\{s\sin \phi }&{s\cos \phi }&0\\0&0&1\end{array}} \right]\)

Calculate the value of \(RD\).

\[RD = \left[ {\begin{array}{*{20}{c}}{s\cos \phi }&{ - s\sin \phi }&0\\{s\sin \phi }&{s\cos \phi }&0\\0&0&1\end{array}} \right]\]

Calculate the value of \(DT\).

\(DT = \left[ {\begin{array}{*{20}{c}}s&0&{sh}\\0&s&{sk}\\0&0&1\end{array}} \right]\)

Calculate the value of \(TD\).

\(TD = \left[ {\begin{array}{*{20}{c}}s&0&h\\0&s&k\\0&0&1\end{array}} \right]\)

Calculate the value of \(RT\).

\(RT = \left[ {\begin{array}{*{20}{c}}{\cos \phi }&{ - \sin \phi }&{h\cos \phi - k\sin \phi }\\{\sin \phi }&{\cos \phi }&{h\sin \phi + k\cos \phi }\\0&0&1\end{array}} \right]\)

Calculate the value of \(TR\).

\(TR = \left[ {\begin{array}{*{20}{c}}{\cos \varphi }&{ - \sin \varphi }&h\\{\sin \varphi }&{\cos \varphi }&k\\0&0&1\end{array}} \right]\)

03

Check the commutation of transformation matrices

For the transformation matrices, \(DR = RD\).

So, D commutes with R.

\(DT \ne TD\)

So, D does not commute with T.

And

\(RT \ne TR\)

So, R does not commute with T.

Hence, D commutes with R, and matrices D and R do not commute with T.

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Most popular questions from this chapter

Let \(A = \left( {\begin{aligned}{*{20}{c}}{\bf{1}}&{\bf{2}}\\{\bf{5}}&{{\bf{12}}}\end{aligned}} \right),{b_{\bf{1}}} = \left( {\begin{aligned}{*{20}{c}}{ - {\bf{1}}}\\{\bf{3}}\end{aligned}} \right),{b_{\bf{2}}} = \left( {\begin{aligned}{*{20}{c}}{\bf{1}}\\{ - {\bf{5}}}\end{aligned}} \right),{b_{\bf{3}}} = \left( {\begin{aligned}{*{20}{c}}{\bf{2}}\\{\bf{6}}\end{aligned}} \right),\) and \({b_{\bf{4}}} = \left( {\begin{aligned}{*{20}{c}}{\bf{3}}\\{\bf{5}}\end{aligned}} \right)\).

  1. Find \({A^{ - {\bf{1}}}}\), and use it to solve the four equations \(Ax = {b_{\bf{1}}},\)\(Ax = {b_2},\)\(Ax = {b_{\bf{3}}},\)\(Ax = {b_{\bf{4}}}\)\(\)
  2. The four equations in part (a) can be solved by the same set of row operations, since the coefficient matrix is the same in each case. Solve the four equations in part (a) by row reducing the augmented matrix \(\left( {\begin{aligned}{*{20}{c}}A&{{b_{\bf{1}}}}&{{b_{\bf{2}}}}&{{b_{\bf{3}}}}&{{b_{\bf{4}}}}\end{aligned}} \right)\).

Suppose the transfer function W(s) in Exercise 19 is invertible for some s. It can be showed that the inverse transfer function \(W{\left( s \right)^{ - {\bf{1}}}}\), which transforms outputs into inputs, is the Schur complement of \(A - BC - s{I_n}\) for the matrix below. Find the Sachur complement. See Exercise 15.

\(\left[ {\begin{array}{*{20}{c}}{A - BC - s{I_n}}&B\\{ - C}&{{I_m}}\end{array}} \right]\)

Use the inverse found in Exercise 1 to solve the system

\(\begin{aligned}{l}{\bf{8}}{{\bf{x}}_{\bf{1}}} + {\bf{6}}{{\bf{x}}_{\bf{2}}} = {\bf{2}}\\{\bf{5}}{{\bf{x}}_{\bf{1}}} + {\bf{4}}{{\bf{x}}_{\bf{2}}} = - {\bf{1}}\end{aligned}\)

3. Find the inverse of the matrix \(\left( {\begin{aligned}{*{20}{c}}{\bf{8}}&{\bf{5}}\\{ - {\bf{7}}}&{ - {\bf{5}}}\end{aligned}} \right)\).

Prove Theorem 2(b) and 2(c). Use the row-column rule. The \(\left( {i,j} \right)\)- entry in \(A\left( {B + C} \right)\) can be written as \({a_{i1}}\left( {{b_{1j}} + {c_{1j}}} \right) + ... + {a_{in}}\left( {{b_{nj}} + {c_{nj}}} \right)\) or \(\sum\limits_{k = 1}^n {{a_{ik}}\left( {{b_{kj}} + {c_{kj}}} \right)} \).

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