Any point in [\tex]mathbb{R}^{3}[\tex]

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In summary, the question being discussed is whether any point in 3-dimensional space can be written as a linear combination of vectors inside the unit ball over the real numbers, given that the linear combination can be made arbitrarily small. The conversation includes a proposed approach and a potential flaw in that approach, as well as a counterexample using specific values for the variables.
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willy0625
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Any point in 3-dimensional space

Is is possible to write any point [tex] {\bf x}\in \mathbb{R}^{3}[/tex] as a linear combination of vectors [tex]{\bf v_{j}}[/tex] inside the unit ball over [tex]\mathbb{R}[/tex] given that

[tex]\sum_{j}c_{j}{\bf v_{j}}[/tex]

can be made arbitrarily small?




My approach was letting

[tex] \parallel{\bf x}\parallel \leq \bigg{\parallel} \sum_{j}c_{j}{\bf v_{j}}\bigg\parallel (*)[/tex]

Then applying the triangle inequality to the two terms then (*), the triangle inequality again to the linear combination, [tex] \parallel v_{j}\parallel<1 [/tex] for all [tex]n[/tex] then the Cauchy's inequality to obtain

[tex] \parallel{\bf x} - \sum_{j}c_{j}{\bf v_{j}}\bigg\parallel [/tex]

[tex] \leq 4n\sum_{j}|c_{j}|^{2} [/tex]


where n is the number of terms in the linear combination, which is finite.

Therefore by letting [tex] \sum_{j}|c_{j}|^{2} \rightarrow 0[/tex],

we get

[tex]\parallel{\bf x}- \sum_{j}c_{j}{\bf v_{j}}\bigg\parallel \leq 0 [/tex]

Thus deducing

[tex] {\bf x} = \sum_{j}c_{j}{\bf v_{j}} [/tex]

I am not sure if assuming (*) is the correct way of doing this since we miss out on the other possibility (>).
 
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willy0625 said:
Is is possible to write any point [tex] {\bf x}\in \mathbb{R}^{3}[/tex] as a linear combination of vectors [tex]{\bf v_{j}}[/tex] inside the unit ball over [tex]\mathbb{R}[/tex] given that

[tex]\sum_{j}c_{j}{\bf v_{j}}[/tex]

can be made arbitrarily small?

I'm guessing you haven't told us everything. Let

[tex]v_1 = \frac x {2||x||} \hbox{ so } ||v_1|| = \frac 1 2[/tex]

Let [itex]c = 2||x||[/itex]. Then and [itex]x = cv_1[/itex].
 

1. What is the difference between a point and a vector in mathbb{R}^{3}?

A point in mathbb{R}^{3} is a specific location in a three-dimensional space, represented by its coordinates (x, y, z). A vector in mathbb{R}^{3}, on the other hand, represents a direction and magnitude in three-dimensional space, and is typically denoted by an arrow pointing from the origin to the point. In other words, a point is a single location, while a vector describes movement or displacement in space.

2. How do you find the distance between two points in mathbb{R}^{3}?

To find the distance between two points in mathbb{R}^{3}, you can use the distance formula: d = sqrt((x2 - x1)^2 + (y2 - y1)^2 + (z2 - z1)^2), where (x1, y1, z1) and (x2, y2, z2) are the coordinates of the two points. This formula is derived from the Pythagorean theorem in three dimensions.

3. What is the equation of a line in mathbb{R}^{3}?

In mathbb{R}^{3}, a line can be defined by a set of parametric equations: x = x0 + at, y = y0 + bt, and z = z0 + ct, where (x0, y0, z0) is a point on the line and (a, b, c) is the direction vector. Alternatively, a line can also be represented in vector form as r = r0 + tv, where r0 is a point on the line and v is the direction vector. These equations allow you to find any point on the line by plugging in a value for t.

4. How do you calculate the cross product of two vectors in mathbb{R}^{3}?

The cross product of two vectors in mathbb{R}^{3} can be calculated using the determinant of a 3x3 matrix. The resulting vector will be perpendicular to both of the original vectors and its direction can be determined using the right-hand rule. The magnitude of the cross product is equal to the product of the magnitudes of the original vectors multiplied by the sine of the angle between them.

5. Can a point in mathbb{R}^{3} have negative coordinates?

Yes, a point in mathbb{R}^{3} can have negative coordinates. The coordinates of a point represent its position relative to the origin, and can have positive or negative values depending on its location in the three-dimensional space. For example, a point in the second quadrant of a three-dimensional coordinate system would have negative x and y coordinates, while a point in the third quadrant would have a negative z coordinate.

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