Class: Physics 140 Date: July 1 Background visual: Deepfake of Chris Pratt as Indiana Jones
Vectors are foundational elements in physics that help describe quantities that have both magnitude and direction. A solid understanding of vectors is crucial, as they are integral to understanding motion, forces, and fields, particularly in advanced topics such as electromagnetism, fluid dynamics, and relativity. Thus, much of the course will heavily focus on vector analysis, techniques, and applications.
Vectors are represented graphically as arrows, with the length of the arrow indicating its magnitude and the direction of the arrow indicating its direction. In mathematical notation, vectors are typically denoted with a line above the letter (e.g., A).
Vectors can be broken down into their constituent components along the coordinate axes:
Unit Vectors: Typically represented as i-hat, j-hat, k-hat, where:
i-hat: unit vector in the x-direction
j-hat: unit vector in the y-direction
k-hat: unit vector in the z-directionThe magnitude of a vector remains constant when multiplied by a unit vector (e.g., 4 * i-hat retains the same direction and unit length).
A right-handed orthonormal system is commonly used in physics and calculus where:
The x and y axes are perpendicular to each other,
The thumb of the right-hand points along the positive z-axis, indicating the direction of the third coordinate. It is crucial to pay attention to variations, as some computer programming environments use different coordinate systems (like the top-left of a screen as (0, 0)).
For instance, a vector can be expressed as V = 3i-hat + 4j-hat (in meters).
The magnitude of a vector can be calculated using the formula: Magnitude = √(x² + y²)The direction of the vector in 2D is determined by :tan(θ) = y-component / x-component
The quadrant in which a vector lies is determined by the signs of its components:
Quadrant I: both components positive (x > 0, y > 0)
Quadrant II: x negative, y positive (x < 0, y > 0)
Quadrant III: both components negative (x < 0, y < 0)
Quadrant IV: x positive, y negative (x > 0, y < 0)To find the reference angle, the arctan function is often used, and adjustments will be necessary depending on the quadrant in which the vector lies.
For vector A, the magnitude and angle can be calculated: A = |A| * cos(θ)Reference angles assist in relating angles to their directional cosines for accurate positioning.
Scalars can be added directly, but vectors must be added by breaking them down into their components: A + B = (A_x + B_x, A_y + B_y)Graphical vector addition can be illustrated through the head-to-tail method or the parallelogram rule. These methods help visualize how vectors combine in space. The Law of Cosines becomes significant in vector addition when angles are involved. For subtraction, a vector can be subtracted by adding its negative: A - B = A + (-B)
The formula for the dot product is given by:A ⋅ B = |A| |B| cos(θ)The result of a dot product is a scalar value, useful for determining the cosine of the angle between vectors.
The cross product helps define the direction of torque, induced currents, and forces:|A × B| = |A| |B| sin(θ)The direction of the resulting vector can be determined using the right-hand rule.It can also be expressed using the determinant of a 3x3 matrix with unit vectors, providing a clear computational method.
Scalar and vector quantities play a fundamental role in concepts of work and energy within physics.Understanding directional components is essential for applications in multiple fields such as electromagnetism, mechanics, and engineering.
This chapter emphasizes the significance of grasping angular relationships and the projections of vectors. It encourages applying theoretical concepts with practical, real-world examples and ensures that visuals enhance understanding, providing a comprehensive learning experience.