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Exercises 37 and 38 concern the crystal lattice for titanium, which has the hexagonal structure shown on the left in the accompanying

figure. The vectors\(\left( {\begin{array}{*{20}{c}}{2.6}\\{ - 1.5}\\0\end{array}} \right)\),\(\left( {\begin{array}{*{20}{c}}0\\3\\0\end{array}} \right)\),\(\left( {\begin{array}{*{20}{c}}0\\0\\{4.8}\end{array}} \right)\)in\({\mathbb{R}^{\bf{3}}}\)form a basis for the unit cell shown on the right. The numbers here are Angstrom units\(\left( {1\mathop { A}\limits^{{\rm{ o}}} = 1{0^{ - 8}}cm} \right)\). In alloys of titanium, some additional atoms may be in the unit cell at the octahedral and tetrahedralsites (so named because of the geometric objects

formed by atoms at these locations).


The hexagonal close-packed lattice and its unit cell.

37. One of the octahedral sites is\(\left( {\begin{array}{*{20}{c}}{1/2}\\{1/4}\\{1/6}\end{array}} \right)\), relative to the lattice basis. Determine the coordinates of this site relative to the standard basis of\({\mathbb{R}^{\bf{3}}}\).

Short Answer

Expert verified

The coordinates of this site relative to the standard basis of \({\mathbb{R}^{\bf{3}}}\) is \({\bf{x}} = \left( {\begin{array}{*{20}{c}}{1.3}\\0\\{0.8}\end{array}} \right)\).

Step by step solution

01

State the coordinates of x relative to the standard basis

It is given that for the unit cell, thebasis is\(B = \left\{ {\left( {\begin{array}{*{20}{c}}{2.6}\\{ - 1.5}\\0\end{array}} \right),\left( {\begin{array}{*{20}{c}}0\\3\\0\end{array}} \right),\left( {\begin{array}{*{20}{c}}0\\0\\{4.8}\end{array}} \right)} \right\}\).

Obtain thecoordinatesof the octahedral site \({\left( {\bf{x}} \right)_B} = \left( {\begin{array}{*{20}{c}}{1/2}\\{1/4}\\{1/6}\end{array}} \right)\) relative to the standard basis of\({\mathbb{R}^{\bf{3}}}\), as shown below:

Write the basis B in the matrix form as shown below:

\({P_B} = \left( {\begin{array}{*{20}{c}}{2.6}&0&0\\{ - 1.5}&3&0\\0&0&{4.8}\end{array}} \right)\)

02

State the coordinates of x relative to the standard basis

Compute the product of matrices\({\left( {\bf{x}} \right)_B} = \left( {\begin{array}{*{20}{c}}{1/2}\\{1/4}\\{1/6}\end{array}} \right)\)and\({P_B} = \left( {\begin{array}{*{20}{c}}{2.6}&0&0\\{ - 1.5}&3&0\\0&0&{4.8}\end{array}} \right)\)using the MATLAB command shown below:

\(\begin{array}{l} > > {\rm{A}} = \left( {{\rm{2}}{\rm{.6 0 0; }} - {\rm{1}}{\rm{.5 3 0; 0 0 4}}{\rm{.8}}} \right);\\ > > {\rm{B}} = \left( {{\rm{1/2 1/4 1/6}}} \right);\\ > > {\rm{M}} = {\rm{A}}*{\rm{B}}\end{array}\)

So, the output is

\(\begin{array}{c}{\bf{x}} = {P_B}{\left( {\bf{x}} \right)_B}\\ = \left( {\begin{array}{*{20}{c}}{2.6}&0&0\\{ - 1.5}&3&0\\0&0&{4.8}\end{array}} \right)\left( {\begin{array}{*{20}{c}}{1/2}\\{1/4}\\{1/6}\end{array}} \right)\\ = \left( {\begin{array}{*{20}{c}}{1.3}\\0\\{0.8}\end{array}} \right).\end{array}\)

Thus, the coordinates of this site relative to the standard basis of \({\mathbb{R}^{\bf{3}}}\) is \({\bf{x}} = \left( {\begin{array}{*{20}{c}}{1.3}\\0\\{0.8}\end{array}} \right)\).

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Most popular questions from this chapter

Let \(T:{\mathbb{R}^n} \to {\mathbb{R}^m}\) be a linear transformation.

a. What is the dimension of range of T if T is one-to-one mapping? Explain.

b. What is the dimension of the kernel of T (see section 4.2) if T maps \({\mathbb{R}^n}\) onto \({\mathbb{R}^m}\)? Explain.

In Exercise 1, find the vector x determined by the given coordinate vector \({\left( x \right)_{\rm B}}\) and the given basis \({\rm B}\).

1. \({\rm B} = \left\{ {\left( {\begin{array}{*{20}{c}}{\bf{3}}\\{ - {\bf{5}}}\end{array}} \right),\left( {\begin{array}{*{20}{c}}{ - {\bf{4}}}\\{\bf{6}}\end{array}} \right)} \right\},{\left( x \right)_{\rm B}} = \left( {\begin{array}{*{20}{c}}{\bf{5}}\\{\bf{3}}\end{array}} \right)\)

Consider the following two systems of equations:

\(\begin{array}{c}5{x_1} + {x_2} - 3{x_3} = 0\\ - 9{x_1} + 2{x_2} + 5{x_3} = 1\\4{x_1} + {x_2} - 6{x_3} = 9\end{array}\) \(\begin{array}{c}5{x_1} + {x_2} - 3{x_3} = 0\\ - 9{x_1} + 2{x_2} + 5{x_3} = 5\\4{x_1} + {x_2} - 6{x_3} = 45\end{array}\)

It can be shown that the first system of a solution. Use this fact and the theory from this section to explain why the second system must also have a solution. (Make no row operations.)

Prove theorem 3 as follows: Given an \(m \times n\) matrix A, an element in \({\mathop{\rm Col}\nolimits} A\) has the form \(Ax\) for some x in \({\mathbb{R}^n}\). Let \(Ax\) and \(A{\mathop{\rm w}\nolimits} \) represent any two vectors in \({\mathop{\rm Col}\nolimits} A\).

  1. Explain why the zero vector is in \({\mathop{\rm Col}\nolimits} A\).
  2. Show that the vector \(A{\mathop{\rm x}\nolimits} + A{\mathop{\rm w}\nolimits} \) is in \({\mathop{\rm Col}\nolimits} A\).
  3. Given a scalar \(c\), show that \(c\left( {A{\mathop{\rm x}\nolimits} } \right)\) is in \({\mathop{\rm Col}\nolimits} A\).

Let S be a maximal linearly independent subset of a vector space V. In other words, S has the property that if a vector not in S is adjoined to S, the new set will no longer be linearly independent. Prove that S must be a basis of V. [Hint: What if S were linearly independent but not a basis of V?]

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