Analytic Geometry

By Notes Vandar

4.1 Straight Lines

In geometry, a straight line is a fundamental concept that represents the shortest distance between two points. Straight lines can be described algebraically, geometrically, and through their various properties.

1. Definition of a Straight Line

A straight line can be defined as a set of points extending infinitely in two directions. In a Cartesian coordinate system, a straight line can be represented using an equation that relates the coordinates of points on the line.

2. Slope-Intercept Form

One of the most common ways to express the equation of a straight line is in the slope-intercept form:

y=mx+by = mx + b

Where:

  • yy is the dependent variable (the output).
  • xx is the independent variable (the input).
  • mm is the slope of the line (the rate of change of yy with respect to xx).
  • bb is the y-intercept (the value of yy when x=0x = 0).

3. Slope of a Line

The slope mm measures how steep the line is. It can be calculated using the formula:

m=y2−y1x2−x1m = \frac{y_2 – y_1}{x_2 – x_1}

Where (x1,y1)(x_1, y_1) and (x2,y2)(x_2, y_2) are two distinct points on the line.

  • If m>0m > 0: The line rises as it moves from left to right.
  • If m<0m < 0: The line falls as it moves from left to right.
  • If m=0m = 0: The line is horizontal.
  • If mm is undefined: The line is vertical.

4. General Form of the Line

The general form of a line in two dimensions is given by:

Ax+By+C=0Ax + By + C = 0

Where:

  • AA, BB, and CC are constants.
  • AA and BB cannot both be zero.

To convert from slope-intercept form to general form, you can rearrange the equation:

y−mx−b=0⇒mx−y+b=0y – mx – b = 0 \quad \Rightarrow \quad mx – y + b = 0

5. Point-Slope Form

Another useful form of the equation of a line is the point-slope form:

y−y1=m(x−x1)y – y_1 = m(x – x_1)

Where:

  • (x1,y1)(x_1, y_1) is a specific point on the line.
  • mm is the slope.

6. Parallel and Perpendicular Lines

  • Parallel Lines: Two lines are parallel if they have the same slope (m1=m2m_1 = m_2). They will never intersect.
  • Perpendicular Lines: Two lines are perpendicular if the product of their slopes is −1-1: m1⋅m2=−1m_1 \cdot m_2 = -1

7. Finding the Equation of a Line

To find the equation of a line, you typically need:

  1. Two Points: Use the two-point formula or calculate the slope and then use point-slope form.
  2. Point and Slope: Use the point-slope form directly.

Example: Find the equation of the line that passes through the points (1,2)(1, 2) and (3,6)(3, 6).

  1. Calculate the slope mm:m=6−23−1=42=2m = \frac{6 – 2}{3 – 1} = \frac{4}{2} = 2
  2. Use point-slope form with point (1,2)(1, 2):y−2=2(x−1)y – 2 = 2(x – 1)
  3. Simplifying:y−2=2x−2⇒y=2xy – 2 = 2x – 2 \quad \Rightarrow \quad y = 2x

 

4.1.1 Equation of straight lines

The equation of a straight line can be expressed in several forms, each useful for different purposes. Here’s a detailed look at the various forms and how to derive and use them.

1. Slope-Intercept Form

The slope-intercept form of a straight line is given by:

y=mx+by = mx + b

Where:

  • mm is the slope of the line, which represents the rate of change of yy with respect to xx.
  • bb is the y-intercept, the point where the line crosses the y-axis (when x=0x = 0).

Example: If a line has a slope of 33 and a y-intercept of −2-2, the equation is:

y=3x−2y = 3x – 2


2. Point-Slope Form

The point-slope form is useful when you know a point on the line and its slope:

y−y1=m(x−x1)y – y_1 = m(x – x_1)

Where:

  • (x1,y1)(x_1, y_1) is a point on the line.
  • mm is the slope.

Example: Given a point (2,3)(2, 3) and a slope of 44, the equation is:

y−3=4(x−2)y – 3 = 4(x – 2)

Simplifying this gives:

y−3=4x−8⇒y=4x−5y – 3 = 4x – 8 \quad \Rightarrow \quad y = 4x – 5


3. General Form

The general form of a line is represented as:

Ax+By+C=0Ax + By + C = 0

Where:

  • AA, BB, and CC are constants.
  • AA and BB cannot both be zero.

To convert from slope-intercept or point-slope form to general form, rearrange the equation.

Example: Starting from the slope-intercept form y=2x+3y = 2x + 3:

Rearranging gives:

−2x+y−3=0⇒2x−y+3=0-2x + y – 3 = 0 \quad \Rightarrow \quad 2x – y + 3 = 0

Here, A=2A = 2, B=−1B = -1, and C=3C = 3.


4. Intercept Form

The intercept form of a straight line is:

xa+yb=1\frac{x}{a} + \frac{y}{b} = 1

Where:

  • aa is the x-intercept (the point where the line crosses the x-axis).
  • bb is the y-intercept.

Example: If a line crosses the x-axis at 44 and the y-axis at 33, the equation is:

x4+y3=1\frac{x}{4} + \frac{y}{3} = 1


5. Finding the Equation of a Line Given Two Points

To find the equation of a line given two points, follow these steps:

  1. Find the Slope (mm): Using the formula:m=y2−y1x2−x1m = \frac{y_2 – y_1}{x_2 – x_1}
  2. Use Point-Slope Form: With one of the points and the slope, use:y−y1=m(x−x1)y – y_1 = m(x – x_1)

Example: Given points (1,2)(1, 2) and (3,6)(3, 6):

  1. Calculate the slope:m=6−23−1=42=2m = \frac{6 – 2}{3 – 1} = \frac{4}{2} = 2
  2. Use the point (1,2)(1, 2) in point-slope form:y−2=2(x−1)y – 2 = 2(x – 1)Simplifying gives:

    y=2xy = 2x


6. Parallel and Perpendicular Lines

  • Parallel Lines: Two lines are parallel if they have the same slope. If line L1:y=m1x+b1L_1: y = m_1x + b_1 and line L2:y=m2x+b2L_2: y = m_2x + b_2 are parallel, then m1=m2m_1 = m_2.
  • Perpendicular Lines: Two lines are perpendicular if the product of their slopes is −1-1. If line L1:y=m1x+b1L_1: y = m_1x + b_1 and line L2:y=m2x+b2L_2: y = m_2x + b_2 are perpendicular, then:m1⋅m2=−1m_1 \cdot m_2 = -1

Example: If one line has a slope of 22, a line perpendicular to it will have a slope of −12-\frac{1}{2}.

 

4.1.2 Perpendicular distance of a line

The perpendicular distance from a point to a line is the shortest distance from the point to the line, measured along a line that is perpendicular to the given line. This concept is crucial in various fields such as geometry, computer graphics, and engineering.

1. Equation of a Line

Consider the line given by the general form:

Ax+By+C=0Ax + By + C = 0

Where AA, BB, and CC are constants.

2. Distance Formula

To find the perpendicular distance dd from a point (x0,y0)(x_0, y_0) to the line Ax+By+C=0Ax + By + C = 0, we use the formula:

d=∣Ax0+By0+C∣A2+B2d = \frac{|Ax_0 + By_0 + C|}{\sqrt{A^2 + B^2}}

  • ∣Ax0+By0+C∣|Ax_0 + By_0 + C| gives the absolute value of the line equation evaluated at the point, which represents the algebraic distance from the point to the line.
  • A2+B2\sqrt{A^2 + B^2} normalizes this distance by dividing by the magnitude of the vector (A,B)(A, B), which represents the direction of the line.

3. Derivation of the Distance Formula

To derive the distance formula, consider the following steps:

  1. The line can be represented as Ax+By+C=0Ax + By + C = 0.
  2. The normal vector to the line is given by (A,B)(A, B).
  3. The distance from the point to the line is the projection of the vector from the point to the line onto this normal vector.

4. Example Calculation

Example: Find the perpendicular distance from the point (3,4)(3, 4) to the line 2x+3y−6=02x + 3y – 6 = 0.

  1. Identify A=2A = 2, B=3B = 3, C=−6C = -6, x0=3x_0 = 3, and y0=4y_0 = 4.
  2. Substitute into the distance formula: d=∣2(3)+3(4)−6∣22+32d = \frac{|2(3) + 3(4) – 6|}{\sqrt{2^2 + 3^2}} =∣6+12−6∣4+9=∣12∣13=1213= \frac{|6 + 12 – 6|}{\sqrt{4 + 9}} = \frac{|12|}{\sqrt{13}} = \frac{12}{\sqrt{13}}
  3. Simplifying gives: d≈3.32d \approx 3.32

5. Application of Perpendicular Distance

Understanding the perpendicular distance is useful in various applications:

  • Geometric Problems: To find the closest point on a line from a given point.
  • Optimization: In operations research and linear programming, to determine the optimal path or solution.
  • Computer Graphics: For rendering and calculating the intersection of objects and lines.

 

4.1.3 Angle between lines

The angle between two lines can be determined using the slopes of the lines. The formula for finding the angle θ\theta between two lines with slopes m1m_1 and m2m_2 is derived from the tangent function.

1. Slopes of Lines

For two lines represented in slope-intercept form:

  • Line 1: y=m1x+b1y = m_1x + b_1
  • Line 2: y=m2x+b2y = m_2x + b_2

Here, m1m_1 and m2m_2 are the slopes of the two lines.

2. Formula for the Angle

The angle θ\theta between the two lines can be calculated using the following formula:

tan⁡(θ)=∣m1−m21+m1m2∣\tan(\theta) = \left| \frac{m_1 – m_2}{1 + m_1 m_2} \right|

Where:

  • θ\theta is the angle between the two lines.
  • The absolute value ensures that we get a positive angle.

To find θ\theta, you can take the arctangent:

θ=tan⁡−1(∣m1−m21+m1m2∣)\theta = \tan^{-1}\left( \left| \frac{m_1 – m_2}{1 + m_1 m_2} \right| \right)

3. Conditions for Angle Calculation

  • If m1m_1 and m2m_2 are equal, the lines are parallel, and the angle θ=0∘\theta = 0^\circ.
  • If m1⋅m2=−1m_1 \cdot m_2 = -1, the lines are perpendicular, and the angle θ=90∘\theta = 90^\circ.

4. Example Calculation

Example: Find the angle between the lines given by the equations:

  1. y=2x+1y = 2x + 1 (slope m1=2m_1 = 2)
  2. y=−12x+3y = -\frac{1}{2}x + 3 (slope m2=−12m_2 = -\frac{1}{2})

Step 1: Identify the slopes:

  • m1=2m_1 = 2
  • m2=−12m_2 = -\frac{1}{2}

Step 2: Use the angle formula:

tan⁡(θ)=∣2−(−12)1+2(−12)∣\tan(\theta) = \left| \frac{2 – \left(-\frac{1}{2}\right)}{1 + 2\left(-\frac{1}{2}\right)} \right|

Calculating the numerator and denominator:

  • Numerator:2+12=42+12=522 + \frac{1}{2} = \frac{4}{2} + \frac{1}{2} = \frac{5}{2}
  • Denominator:1−1=01 – 1 = 0

Since the denominator is zero, it indicates that the lines are perpendicular:

tan⁡(θ)=undefined⇒θ=90∘\tan(\theta) = \text{undefined} \Rightarrow \theta = 90^\circ

5. Summary of Angle Relationships

  • Parallel Lines: If two lines have the same slope (m1=m2m_1 = m_2), they do not intersect, and the angle between them is 0∘0^\circ.
  • Perpendicular Lines: If the product of their slopes is −1-1 (m1m2=−1m_1 m_2 = -1), the lines are perpendicular, and the angle between them is 90∘90^\circ.

o calculate the distance between two points in a Cartesian coordinate system, you can use the distance formula, which is derived from the Pythagorean theorem. If you have two points (x1,y1)(x_1, y_1) and (x2,y2)(x_2, y_2), the distance dd between these points is given by the formula:

d=(x2−x1)2+(y2−y1)2d = \sqrt{(x_2 – x_1)^2 + (y_2 – y_1)^2}

Steps to Use the Distance Formula:

  1. Identify the Coordinates: Determine the coordinates of the two points. For example, let’s say Point A is (x1,y1)(x_1, y_1) and Point B is (x2,y2)(x_2, y_2).
  2. Subtract the Coordinates: Find the difference in the x-coordinates and the y-coordinates:
    • x2−x1x_2 – x_1
    • y2−y1y_2 – y_1
  3. Square the Differences: Square each of the differences obtained in step 2:
    • (x2−x1)2(x_2 – x_1)^2
    • (y2−y1)2(y_2 – y_1)^2
  4. Add the Squares: Add the two squared values together.
  5. Take the Square Root: Finally, take the square root of the sum to find the distance.

Example Calculation:

Let’s calculate the distance between points A(1,2)A(1, 2) and B(4,6)B(4, 6).

  1. x1=1,y1=2x_1 = 1, y_1 = 2
  2. x2=4,y2=6x_2 = 4, y_2 = 6
  3. Calculate the differences:
    • x2−x1=4−1=3x_2 – x_1 = 4 – 1 = 3
    • y2−y1=6−2=4y_2 – y_1 = 6 – 2 = 4
  4. Square the differences:
    • (3)2=9(3)^2 = 9
    • (4)2=16(4)^2 = 16
  5. Add the squares:
    • 9+16=259 + 16 = 25
  6. Take the square root:
    • d=25=5d = \sqrt{25} = 5

Thus, the distance between points A(1,2)A(1, 2) and B(4,6)B(4, 6) is 5 units.

If you have specific points you’d like to calculate the distance for, feel free to share!

4.3.2 Distance between two points

n this section, we will explore the concept of calculating the distance between two points in a Cartesian coordinate system.

Definition

The distance between two points in a two-dimensional space can be defined as the length of the straight line segment that connects them. This distance can be calculated using the distance formula derived from the Pythagorean theorem.

Distance Formula

For two points A(x1,y1)A(x_1, y_1) and B(x2,y2)B(x_2, y_2), the distance dd between these points is given by:

d=(x2−x1)2+(y2−y1)2d = \sqrt{(x_2 – x_1)^2 + (y_2 – y_1)^2}

Breakdown of the Formula

  1. Coordinates:
    • (x1,y1)(x_1, y_1): coordinates of point A.
    • (x2,y2)(x_2, y_2): coordinates of point B.
  2. Differences:
    • (x2−x1)(x_2 – x_1): horizontal distance (difference in x-coordinates).
    • (y2−y1)(y_2 – y_1): vertical distance (difference in y-coordinates).
  3. Square the Differences: Each difference is squared to ensure that we are dealing with positive values.
  4. Sum of Squares: The sum of the squared differences is taken.
  5. Square Root: Finally, the square root of the sum gives the straight-line distance between the two points.

Example Calculation

Let’s calculate the distance between points A(3,4)A(3, 4) and B(7,1)B(7, 1):

  1. Identify Coordinates:
    • x1=3,y1=4x_1 = 3, y_1 = 4
    • x2=7,y2=1x_2 = 7, y_2 = 1
  2. Calculate Differences:
    • x2−x1=7−3=4x_2 – x_1 = 7 – 3 = 4
    • y2−y1=1−4=−3y_2 – y_1 = 1 – 4 = -3
  3. Square the Differences:
    • (4)2=16(4)^2 = 16
    • (−3)2=9(-3)^2 = 9
  4. Sum the Squares:
    • 16+9=2516 + 9 = 25
  5. Square Root:
    • d=25=5d = \sqrt{25} = 5

Thus, the distance between points A(3,4)A(3, 4) and B(7,1)B(7, 1) is 5 units.

Applications

Understanding how to calculate the distance between points is fundamental in various fields, including:

  • Geometry: To determine the length of line segments.
  • Physics: To analyze motion and determine displacement.
  • Computer Science: In algorithms for pathfinding and spatial analysis.

If there’s a specific aspect of this topic you would like to focus on or if you have further questions, feel free to ask!

 

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4.3.3 Directions Cosines and Ratioss and Ratios
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4.3.3 Direction Cosines and Ratios

Definition

Direction cosines are the cosines of the angles that a vector makes with the coordinate axes. They provide a way to describe the orientation of a vector in three-dimensional space.

Direction Cosines

For a vector v\mathbf{v} represented in Cartesian coordinates as v=(vx,vy,vz)\mathbf{v} = (v_x, v_y, v_z), the direction cosines l,m,nl, m, n are defined as follows:

l=vx∥v∥,m=vy∥v∥,n=vz∥v∥l = \frac{v_x}{\|\mathbf{v}\|}, \quad m = \frac{v_y}{\|\mathbf{v}\|}, \quad n = \frac{v_z}{\|\mathbf{v}\|}Where:

  • ∥v∥=vx2+vy2+vz2\|\mathbf{v}\| = \sqrt{v_x^2 + v_y^2 + v_z^2} is the magnitude of the vector v\mathbf{v}.
  • l,m,nl, m, n are the direction cosines corresponding to the x, y, and z axes, respectively.

Properties of Direction Cosines

  1. Range: The direction cosines always satisfy the equation:l2+m2+n2=1l^2 + m^2 + n^2 = 1This relationship arises because they represent the components of a unit vector.
  2. Angles: If θx,θy,θz\theta_x, \theta_y, \theta_z are the angles between the vector and the x, y, and z axes respectively, then:l=cos⁡(θx),m=cos⁡(θy),n=cos⁡(θz)l = \cos(\theta_x), \quad m = \cos(\theta_y), \quad n = \cos(\theta_z)

Direction Ratios

Direction ratios are proportional values that indicate the direction of a line in space. For a line represented by the vector v=(a,b,c)\mathbf{v} = (a, b, c), the direction ratios are a,b,ca, b, c. Unlike direction cosines, direction ratios do not need to be normalized and can be any set of proportional numbers.

Relationship Between Direction Cosines and Direction Ratios

If a,b,ca, b, c are the direction ratios of a line, the corresponding direction cosines l,m,nl, m, n can be expressed as:

l=aa2+b2+c2,m=ba2+b2+c2,n=ca2+b2+c2l = \frac{a}{\sqrt{a^2 + b^2 + c^2}}, \quad m = \frac{b}{\sqrt{a^2 + b^2 + c^2}}, \quad n = \frac{c}{\sqrt{a^2 + b^2 + c^2}}

Example

Consider a vector v=(3,4,5)\mathbf{v} = (3, 4, 5).

  1. Calculate Magnitude:∥v∥=32+42+52=9+16+25=50=52\|\mathbf{v}\| = \sqrt{3^2 + 4^2 + 5^2} = \sqrt{9 + 16 + 25} = \sqrt{50} = 5\sqrt{2}
  2. Direction Cosines:l=352,m=452,n=552=12l = \frac{3}{5\sqrt{2}}, \quad m = \frac{4}{5\sqrt{2}}, \quad n = \frac{5}{5\sqrt{2}} = \frac{1}{\sqrt{2}}
  3. Direction Ratios: The direction ratios for this vector are simply (3,4,5)(3, 4, 5).

Applications

  • Physics: To describe the orientation of forces and velocities.
  • Engineering: For structural analysis and determining load directions.
  • Computer Graphics: In 3D modeling and rendering to manipulate object orientations.

4.3.4 ProjectionProjection refers to the operation of mapping a vector onto another vector or onto a line or plane in a specific direction. This concept is fundamental in vector analysis and has numerous applications in physics, engineering, and computer graphics.

Types of Projections

  1. Projection of a Vector onto Another Vector:
    • The projection of vector a\mathbf{a} onto vector b\mathbf{b} is a vector that represents how much of a\mathbf{a} lies in the direction of b\mathbf{b}.
    • The formula for the projection of a\mathbf{a} onto b\mathbf{b} is given by:

    projba=a⋅bb⋅bb\text{proj}_{\mathbf{b}} \mathbf{a} = \frac{\mathbf{a} \cdot \mathbf{b}}{\mathbf{b} \cdot \mathbf{b}} \mathbf{b}Where:

    • a⋅b\mathbf{a} \cdot \mathbf{b} is the dot product of a\mathbf{a} and b\mathbf{b}.
    • b⋅b\mathbf{b} \cdot \mathbf{b} is the dot product of b\mathbf{b} with itself, giving the square of its magnitude.
  2. Orthogonal Projection:
    • The orthogonal projection refers specifically to the projection of a vector onto a line or a plane, where the resulting projection is perpendicular to that line or plane.

Example: Projection of a Vector onto Another Vector

Let’s say we have two vectors:

  • a=(2,3)\mathbf{a} = (2, 3)
  • b=(4,1)\mathbf{b} = (4, 1)
  1. Calculate the Dot Products:
    • a⋅b=2⋅4+3⋅1=8+3=11\mathbf{a} \cdot \mathbf{b} = 2 \cdot 4 + 3 \cdot 1 = 8 + 3 = 11
    • b⋅b=4⋅4+1⋅1=16+1=17\mathbf{b} \cdot \mathbf{b} = 4 \cdot 4 + 1 \cdot 1 = 16 + 1 = 17
  2. Compute the Projection:
    • Using the projection formula:

    projba=1117b=1117(4,1)=(4417,1117)\text{proj}_{\mathbf{b}} \mathbf{a} = \frac{11}{17} \mathbf{b} = \frac{11}{17} (4, 1) = \left(\frac{44}{17}, \frac{11}{17}\right)

  3. Interpretation:
    • The resulting vector (4417,1117)\left(\frac{44}{17}, \frac{11}{17}\right) represents the component of vector a\mathbf{a} that lies in the direction of vector b\mathbf{b}.

Applications of Projections

  • Physics: To resolve forces into components along specific directions.
  • Computer Graphics: To simulate the effects of perspective by projecting 3D points onto a 2D screen.
  • Statistics: In regression analysis, projecting data points onto a line of best fit.

Summary

Projection is a vital concept in understanding how vectors relate to one another and how to decompose vectors into meaningful components. By projecting one vector onto another, we can analyze their relationships and understand their interactions in various contexts.

 

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