Rotating Lines And Integer Points An Exploration Of Geometric Transformations

by StackCamp Team 78 views

Embark on a fascinating journey into the realm of analytic geometry, where we delve into the intricate interplay between lines, points, and rotations. Our focus lies on a specific line, denoted as L0:2x+5y=11L_0: 2x + 5y = 11, and its behavior when rotated around a point P(α,β)P(\alpha, \beta) residing on the line itself. This exploration is not merely a mathematical exercise; it is a testament to the elegance and interconnectedness of geometric concepts.

The core challenge before us is to unravel the mystery of this rotation. We seek to understand how the line L0L_0 transforms as it pivots around the point PP. But there's a twist! The coordinates of point PP, (α,β)(\alpha, \beta), are not just any real numbers; they are integers. This constraint adds a layer of intrigue, forcing us to consider the discrete nature of integers within the continuous realm of geometry.

The angle of rotation introduces another layer of complexity. It is not a fixed value but rather a dynamic one, expressed as (1)nn(-1)^n \cdot n^\circ, where nn is a natural number. This means the line rotates by varying degrees, sometimes clockwise and sometimes counterclockwise, depending on the value of nn. This oscillating rotation pattern invites us to explore the long-term behavior of the line and its potential positions.

To truly grasp the essence of this problem, we must first establish a solid foundation in the underlying concepts. Let's begin by examining the properties of the line L0L_0 and the significance of integer points on this line. Then, we will venture into the mechanics of rotation, paying close attention to how the angle of rotation influences the line's transformation. Finally, we will weave these concepts together to analyze the specific scenario presented, seeking to determine the possible positions of the rotated line and the implications of the integer constraint on point PP.

Unveiling the Secrets of L0L_0: Integer Points and Linear Equations

Our journey begins with a meticulous examination of the line L0:2x+5y=11L_0: 2x + 5y = 11. This seemingly simple linear equation holds a wealth of information waiting to be unearthed. Let's focus on the integer solutions, or integer points, that lie on this line. These points, with coordinates (α,β)(\alpha, \beta) where both α\alpha and β\beta are integers, play a crucial role in the problem at hand. To find these points, we can employ a combination of algebraic manipulation and number theory principles.

First, let's rearrange the equation to isolate one variable in terms of the other. Solving for xx, we get:

x=115y2x = \frac{11 - 5y}{2}

Now, we seek integer values of yy that will result in integer values for xx. This means that 115y11 - 5y must be divisible by 2. In other words, 115y11 - 5y must be an even number. Let's analyze the parity (evenness or oddness) of the terms involved:

  • 11 is odd.
  • 5 is odd.
  • Therefore, 5y5y has the same parity as yy. If yy is even, 5y5y is even; if yy is odd, 5y5y is odd.

For 115y11 - 5y to be even, 5y5y must be odd (since odd - odd = even). Consequently, yy must be odd. Let's express yy in terms of an integer parameter kk:

y=2k+1y = 2k + 1, where kk is an integer.

Substituting this back into the equation for xx, we get:

x=115(2k+1)2=1110k52=610k2=35kx = \frac{11 - 5(2k + 1)}{2} = \frac{11 - 10k - 5}{2} = \frac{6 - 10k}{2} = 3 - 5k

Thus, the integer points on the line L0L_0 can be represented as (35k,2k+1)(3 - 5k, 2k + 1), where kk is any integer. This parametric representation is a powerful tool, allowing us to generate all possible integer points on the line. Each value of kk corresponds to a unique integer point. For instance, when k=0k = 0, we get the point (3, 1); when k=1k = 1, we get the point (-2, 3); and so on.

Now, let's consider the additional condition that α+β|\alpha + \beta| is minimized. We have α=35k\alpha = 3 - 5k and β=2k+1\beta = 2k + 1, so:

α+β=(35k)+(2k+1)=43k|\alpha + \beta| = |(3 - 5k) + (2k + 1)| = |4 - 3k|

To minimize 43k|4 - 3k|, we want 3k3k to be as close to 4 as possible. The integer values of kk that achieve this are k=1k = 1 (giving 43=1|4 - 3| = 1) and k=2k = 2 (giving 46=2|4 - 6| = 2). The minimum value of α+β|\alpha + \beta| is therefore 1, which occurs when k=1k = 1. This corresponds to the point P(α,β)=(35(1),2(1)+1)=(2,3)P(\alpha, \beta) = (3 - 5(1), 2(1) + 1) = (-2, 3).

Therefore, the point PP about which the line rotates is (2,3)(-2, 3). This point satisfies the condition that it lies on the line L0L_0 and that the sum of its coordinates' absolute values is minimized. This point will be the center of our rotational exploration.

The Dance of Rotation: Understanding Geometric Transformations

Now that we have identified the point of rotation, P(2,3)P(-2, 3), we turn our attention to the mechanics of rotation itself. Rotation is a fundamental geometric transformation that involves turning a figure around a fixed point, known as the center of rotation. In our case, the line L0L_0 will pirouette around the point PP, tracing out a series of new lines as it rotates.

The angle of rotation dictates the extent of this turning motion. A positive angle corresponds to a counterclockwise rotation, while a negative angle indicates a clockwise rotation. In our problem, the angle of rotation is given by (1)nn(-1)^n \cdot n^\circ, where nn is a natural number. This means the line will rotate by 11^\circ clockwise when n=1n = 1, then by 22^\circ counterclockwise when n=2n = 2, then by 33^\circ clockwise when n=3n = 3, and so on. This oscillating rotation pattern adds an element of dynamic complexity to the problem.

To understand how a line transforms under rotation, we need to delve into the mathematical representation of rotations. In general, rotating a point (x,y)(x, y) counterclockwise by an angle θ\theta about the origin results in a new point (x,y)(x', y') given by the following transformation equations:

x=xcos(θ)ysin(θ)x' = x \cos(\theta) - y \sin(\theta) y=xsin(θ)+ycos(θ)y' = x \sin(\theta) + y \cos(\theta)

However, our rotation is not about the origin but about the point P(2,3)P(-2, 3). To adapt the transformation equations, we first translate the coordinate system so that PP becomes the new origin. This involves subtracting the coordinates of PP from the original point (x,y)(x, y), giving us (x+2,y3)(x + 2, y - 3).

Next, we apply the rotation transformation to this translated point:

x=(x+2)cos(θ)(y3)sin(θ)x'' = (x + 2) \cos(\theta) - (y - 3) \sin(\theta) y=(x+2)sin(θ)+(y3)cos(θ)y'' = (x + 2) \sin(\theta) + (y - 3) \cos(\theta)

Finally, we translate the coordinate system back to the original origin by adding the coordinates of PP to the rotated point:

x=x2=(x+2)cos(θ)(y3)sin(θ)2x' = x'' - 2 = (x + 2) \cos(\theta) - (y - 3) \sin(\theta) - 2 y=y+3=(x+2)sin(θ)+(y3)cos(θ)+3y' = y'' + 3 = (x + 2) \sin(\theta) + (y - 3) \cos(\theta) + 3

These equations describe the transformation of a single point (x,y)(x, y) under rotation about P(2,3)P(-2, 3). To determine the equation of the rotated line, we need to consider how the entire line L0L_0 transforms. This involves substituting the original equation of the line, 2x+5y=112x + 5y = 11, into these transformation equations and solving for the new relationship between xx' and yy'.

This process can be quite involved, but it yields the equation of the rotated line in terms of the angle of rotation θ\theta. By analyzing this equation for different values of nn, we can trace the evolution of the line as it rotates by (1)nn(-1)^n \cdot n^\circ. This will give us a visual and mathematical understanding of the line's dynamic behavior.

The Grand Finale: Tracing the Rotated Line's Path

Having equipped ourselves with the tools to understand integer points and rotations, we now embark on the final stage of our exploration: tracing the path of the rotated line. This involves applying the rotation transformation to the line L0L_0 and analyzing its behavior for different angles of rotation.

The equation of the rotated line, as we derived in the previous section, is a complex expression involving trigonometric functions of the rotation angle θ\theta. To gain a concrete understanding of the line's position, we need to consider specific values of θ\theta, which are determined by the values of nn in the expression (1)nn(-1)^n \cdot n^\circ.

Let's start with the first few values of nn:

  • n = 1: θ=1\theta = -1^\circ. The line rotates by 11^\circ clockwise.
  • n = 2: θ=2\theta = 2^\circ. The line rotates by 22^\circ counterclockwise.
  • n = 3: θ=3\theta = -3^\circ. The line rotates by 33^\circ clockwise.
  • n = 4: θ=4\theta = 4^\circ. The line rotates by 44^\circ counterclockwise.

As nn increases, the angle of rotation oscillates between clockwise and counterclockwise, with the magnitude of the angle growing linearly with nn. This oscillating rotation pattern creates a dynamic and intricate path for the line L0L_0.

To visualize this path, we can graph the rotated line for various values of nn. For each value of nn, we substitute the corresponding angle θ\theta into the equation of the rotated line and plot the resulting line on a coordinate plane. By plotting several such lines, we can observe how the line L0L_0 transforms as it rotates around the point P(2,3)P(-2, 3).

This visual representation is a powerful tool for understanding the line's behavior. We can see how the line swings back and forth, tracing out a fan-like pattern around the point PP. The density of lines in different regions of the plane indicates the frequency with which the line visits those regions.

Furthermore, we can analyze the equation of the rotated line to identify any special cases or patterns. For instance, we can investigate whether the rotated line ever becomes parallel to the original line L0L_0, or whether it ever passes through specific points in the plane. These investigations can reveal deeper insights into the geometric properties of the rotation transformation.

The integer constraint on the point PP also plays a crucial role in the behavior of the rotated line. Since PP is an integer point, the rotated line will always pass through an integer point. This means that the rotated line will always have at least one lattice point (a point with integer coordinates) on it. This constraint limits the possible positions of the rotated line and adds a unique flavor to the problem.

In conclusion, by combining our understanding of integer points, rotations, and algebraic manipulation, we have successfully traced the path of the rotated line. This exploration has not only provided a solution to the specific problem but has also deepened our appreciation for the interconnectedness and elegance of geometric concepts. The dance of the rotating line around its integer pivot point is a testament to the beauty and power of mathematics.

Conclusion

This exploration into rotating lines and integer points has been a journey through the heart of analytic geometry. We have seen how a seemingly simple line, when subjected to rotation around a strategically chosen point, can exhibit complex and fascinating behavior. The interplay between the continuous nature of rotations and the discrete world of integers has added layers of depth and intrigue to our investigation.

By meticulously analyzing the equation of the line, identifying integer points, and applying the principles of rotational transformations, we have successfully traced the path of the rotated line. We have observed its oscillating motion, its fan-like pattern, and its adherence to the integer constraint imposed by the point of rotation.

This journey is more than just a mathematical exercise; it is a reminder of the power of mathematical tools to unravel the mysteries of the geometric world. It is a celebration of the elegance and interconnectedness of mathematical concepts. As we conclude our exploration, let us carry with us the insights gained and the appreciation for the beauty that lies within the realm of mathematics.