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Find the edge-lengths of \(A=(\bar{a}, \bar{b})\) in \(E^{4}\) if $$ \bar{a}=(1,-2,4,0) \text { and } \bar{b}=(2,0,5,3) $$ Is \(A\) a cube? Find some rational points in it. Find \(d A\) and \(v A\).

Short Answer

Expert verified
The edge lengths are \(\sqrt{21}\) and \(\sqrt{38}\). The shape is not a cube. A rational point is \((1.5, -1, 4.5, 1.5)\). The diagonal \(dA\) is \(\sqrt{15}\), and volume is not defined without full dimensions.

Step by step solution

01

Understanding Vectors in Euclidean Space

We have two vectors \(\bar{a}=(1,-2,4,0)\) and \(\bar{b}=(2,0,5,3)\) in \(E^{4}\), the 4-dimensional Euclidean space. The length or norm of a vector \(\bar{v} = (v_1, v_2, v_3, v_4)\) is computed using the formula \( \|\bar{v}\| = \sqrt{v_1^2 + v_2^2 + v_3^2 + v_4^2} \).
02

Calculate the Lengths of the Vectors

First, calculate \(\|\bar{a}\|\). This involves computing: \[ \|\bar{a}\| = \sqrt{1^2 + (-2)^2 + 4^2 + 0^2} = \sqrt{1 + 4 + 16 + 0} = \sqrt{21} \]Then, calculate \(\|\bar{b}\|\):\[ \|\bar{b}\| = \sqrt{2^2 + 0^2 + 5^2 + 3^2} = \sqrt{4 + 0 + 25 + 9} = \sqrt{38} \]
03

Determine if the Shape is a Cube

For \(A\) to be a cube, each edge length must be the same. Analyze whether \(\|\bar{a}\|\) and \(\|\bar{b}\|\) are the same as the lengths of potential other edges. Since \(\sqrt{21} eq \sqrt{38}\), \(A\) cannot be a cube.
04

Finding Rational Points

A rational point in a geometric object in \(E^n\) means each coordinate is a rational number. Given vectors already have integer components, any linear combination with rational coefficients will yield a rational point. For example, \((\bar{a} + \bar{b})/2 = (1.5, -1, 4.5, 1.5) \) is a rational point.
05

Calculating dA (Diagonal) and vA (Volume)

The diagonal \(dA\) of a 4D figure formed by vectors can be calculated using components of vectors, though we need more vectors to define a hyper-rectangle's full diagonal. Assume vectors \(\bar{a}\) and \(\bar{b}\) share vertices. A simplified approach utilizes a single diagonal: \[ dA = \sqrt{ (2-1)^2 + (0+2)^2 + (5-4)^2 + (3-0)^2 } = \sqrt{1 + 4 + 1 + 9} = \sqrt{15} \].The volume calculation in 4D space generally requires additional information on other vectors forming the shape, but volume for two vectors involves hyperplane surface. Not computable directly without full set.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Vector Norm
In 4-dimensional Euclidean space, the length or size of a vector is called its "norm." To find the norm of a vector, one uses the formula: \( \|\bar{v}\| = \sqrt{v_1^2 + v_2^2 + v_3^2 + v_4^2} \). This is an extension of the Pythagorean theorem. It allows us to measure distances effectively in higher dimensions.
For example, for the vector \( \bar{a} = (1, -2, 4, 0) \), the norm is found by squaring each component, adding them up, and taking the square root: \( \|\bar{a}\| = \sqrt{1^2 + (-2)^2 + 4^2 + 0^2} = \sqrt{21} \). By calculating vector norms, we can understand distances between points or the size of objects in 4D space.
Rational Points
Rational points refer to points in a geometric space where each coordinate is a rational number. Rational numbers include any fraction where the numerator and denominator are integers.
In our exercise, given vectors have integer components. This makes any linear combination of these vectors with rational coefficients calculate as a rational point. As an example, consider the average of \(\bar{a}\) and \(\bar{b}\), which is calculated as:
  • \( \frac{\bar{a} + \bar{b}}{2} = \left(\frac{1+2}{2}, \frac{-2+0}{2}, \frac{4+5}{2}, \frac{0+3}{2}\right) = (1.5, -1, 4.5, 1.5) \)
This point, while not having integer coordinates, still retains rational values, thus representing a rational point.
Geometric Objects
In 4D Euclidean space, geometric objects can be quite complex due to the additional dimension. Simple shapes like the square and cube expand into 4D hypershapes, such as the tesseract but to determine if points or vectors form common shapes can be tricky.
In considering the vectors \(\bar{a}\) and \(\bar{b}\), both create edges in potentially larger shapes, such as hyper rectangles. The primary check for a cube, specifically, involves ensuring all edge lengths are identical. On computation, \(\|\bar{a}\| eq \|\bar{b}\|\), so they cannot form a 4D "cube" together. The lack of uniform edge lengths negates the cube possibility, even if more vectors are introduced.
Volume Calculation in Higher Dimensions
Calculating volume in higher dimensions, such as in 4D space, introduces complexity. Unlike straightforward 3D volume calculations, finding volume in 4D relies on additional shape definitions and vectors.
  • The volume of a geometric object in 4-dimensional space is not easily computed unless all edges and diagonals are known.
  • For instance, to calculate the volume formed by vectors in space, each vector must contribute uniquely to the shape’s dimensions, ensuring no redundancy or overlaps.
In our scenario, we have insufficient information with only two vectors. Extra points or vectors are required to fully define a closed 4D shape and hence calculate its "volume." Volumes can be conceptualized as hyper-volumes, analogous to surface area in multiple dimensions, demanding robust spatial relationships among all points or vectors.

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Most popular questions from this chapter

Prove that a sequence \(\left\\{x_{m}\right\\}\) is Cauchy in \((S, \rho)\) iff $$ (\forall \varepsilon>0)(\exists k)(\forall m>k) \quad \rho\left(x_{m}, x_{k}\right)<\varepsilon $$

Prove for \(E^{n}\) that if \(\bar{u}\) is orthogonal to each of the basic unit vectors \(\bar{e}_{1}\), \(\bar{e}_{2}, \ldots, \bar{e}_{n},\) then \(\bar{u}=\overline{0} .\) Deduce that $$ \bar{u}=\overline{0} \text { iff }\left(\forall \bar{x} \in E^{n}\right) \bar{x} \cdot \bar{u}=0 $$

Prove the additivity of the volume of intervals, namely, if \(A\) is subdivided, in any manner, into \(m\) mutually disjoint subintervals \(A_{1}, A_{2}, \ldots, A_{m}\) in \(E^{n}\), then $$ v A=\sum_{i=1}^{m} v A_{i} $$ (This is true also if some \(A_{i}\) contain common faces). [Proof outline: For \(m=2\), use Problem 8 Then by induction, suppose additivity holds for any number of intervals smaller than a certain \(m\) \((m>1) .\) Now let $$ A=\bigcup_{i=1}^{m} A_{i} \quad\left(A_{i} \text { disjoint }\right) $$ One of the \(A_{i}\) (say, \(\left.A_{1}=[\bar{a}, \bar{p}]\right)\) must have some edge-length smaller than the corresponding edge-length of \(A\left(\right.\) say \(\left., \ell_{1}\right) .\) Now cut all of \(A\) into $$ P=[\bar{a}, \bar{d}] \text { and } Q=A-P \text { (Figure 4) } $$ by the plane \(x_{1}=c\left(c=p_{1}\right)\) so that \(A_{1} \subseteq P\) while \(A_{2} \subseteq Q\). For simplicity, assume that the plane cuts each \(A_{i}\) into two subintervals \(A_{i}^{\prime}\) and \(A_{i}^{\prime \prime}\). (One of them may be empty.) Then $$ P=\bigcup_{i=1}^{m} A_{i}^{\prime} \text { and } Q=\bigcup_{i=1}^{m} A_{i}^{\prime \prime} $$ Actually, however, \(P\) and \(Q\) are split into fewer than \(m\) (nonempty) intervals since \(A_{1}^{\prime \prime}=\emptyset=A_{2}^{\prime}\) by construction. Thus, by our inductive assumption, $$ v P=\sum_{i=1}^{m} v A_{i}^{\prime} \text { and } v Q=\sum_{i=1}^{m} v A_{i}^{\prime \prime} $$ where \(v A_{1}^{\prime \prime}=0=v A_{2}^{\prime},\) and \(v A_{i}=v A_{i}^{\prime}+v A_{i}^{\prime \prime}\) by Problem \(8 .\) Complete the inductive proof by showing that $$ \left.v A=v P+v Q=\sum_{i=1}^{m} v A_{i} .\right] $$

Prove that \(\bar{x}\) and \(\bar{y}\) are parallel iff $$ \frac{x_{1}}{y_{1}}=\frac{x_{2}}{y_{2}}=\cdots=\frac{x_{n}}{y_{n}}=c \quad\left(c \in E^{1}\right) $$ where " \(x_{k} / y_{k}=c "\) is to be replaced by " \(x_{k}=0\) " if \(y_{k}=0\).

Find a unit vector in \(E^{4}\), with positive components, that forms equal angles with the axes, i.e., with the basic unit vectors (see Problem 7 ).

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