Vector and Scalar Fundamentals
Definitions
- Scalar: A quantity with magnitude only (e.g., mass, temperature, speed, energy, time)
- Vector: A quantity with both magnitude and direction (e.g., displacement, velocity, acceleration, force, momentum)
- Magnitude of a vector: The length or size of the vector, denoted as \(|\vec{A}|\) or simply \(A\)
- Unit vector: A vector with magnitude of 1, used to indicate direction; denoted as \(\hat{A} = \frac{\vec{A}}{|\vec{A}|}\)
Vector Representation
Component Form
Two-dimensional vector:
\[\vec{A} = A_x\hat{i} + A_y\hat{j}\]
- \(A_x\) = x-component of vector A
- \(A_y\) = y-component of vector A
- \(\hat{i}\) = unit vector in x-direction
- \(\hat{j}\) = unit vector in y-direction
Three-dimensional vector:
\[\vec{A} = A_x\hat{i} + A_y\hat{j} + A_z\hat{k}\]
- \(A_z\) = z-component of vector A
- \(\hat{k}\) = unit vector in z-direction
Magnitude Calculation
Two-dimensional magnitude:
\[|\vec{A}| = \sqrt{A_x^2 + A_y^2}\]
Three-dimensional magnitude:
\[|\vec{A}| = \sqrt{A_x^2 + A_y^2 + A_z^2}\]
Direction and Components
Components from magnitude and angle:
\[A_x = A\cos\theta\]
\[A_y = A\sin\theta\]
- \(\theta\) = angle measured from positive x-axis (counterclockwise)
- \(A\) = magnitude of vector
Angle from components:
\[\theta = \tan^{-1}\left(\frac{A_y}{A_x}\right)\]
- Note: Use quadrant analysis to determine correct angle (0° to 360°)
Vector Operations
Vector Addition
Component method (most useful for MCAT):
\[\vec{R} = \vec{A} + \vec{B}\]
\[R_x = A_x + B_x\]
\[R_y = A_y + B_y\]
\[R_z = A_z + B_z\]
- \(\vec{R}\) = resultant vector
- Add corresponding components separately
Vector Subtraction
\[\vec{R} = \vec{A} - \vec{B}\]
\[R_x = A_x - B_x\]
\[R_y = A_y - B_y\]
\[R_z = A_z - B_z\]
- Equivalent to adding the negative: \(\vec{A} - \vec{B} = \vec{A} + (-\vec{B})\)
Scalar Multiplication
\[c\vec{A} = cA_x\hat{i} + cA_y\hat{j} + cA_z\hat{k}\]
- \(c\) = scalar constant
- Multiplies magnitude by \(|c|\)
- Direction reversed if \(c <>
- Magnitude of result: \(|c\vec{A}| = |c| \cdot |\vec{A}|\)
Dot Product (Scalar Product)
Definition:
\[\vec{A} \cdot \vec{B} = |\vec{A}||\vec{B}|\cos\theta\]
- \(\theta\) = angle between vectors A and B (0° ≤ θ ≤ 180°)
- Result is a scalar
- Units: product of the units of A and B
Component form:
\[\vec{A} \cdot \vec{B} = A_xB_x + A_yB_y + A_zB_z\]
Special cases:
- If vectors are parallel (\(\theta = 0°\)): \(\vec{A} \cdot \vec{B} = AB\)
- If vectors are perpendicular (\(\theta = 90°\)): \(\vec{A} \cdot \vec{B} = 0\)
- If vectors are antiparallel (\(\theta = 180°\)): \(\vec{A} \cdot \vec{B} = -AB\)
Finding angle between vectors:
\[\cos\theta = \frac{\vec{A} \cdot \vec{B}}{|\vec{A}||\vec{B}|}\]
Properties:
- Commutative: \(\vec{A} \cdot \vec{B} = \vec{B} \cdot \vec{A}\)
- Distributive: \(\vec{A} \cdot (\vec{B} + \vec{C}) = \vec{A} \cdot \vec{B} + \vec{A} \cdot \vec{C}\)
- Dot product with itself: \(\vec{A} \cdot \vec{A} = A^2\)
Cross Product (Vector Product)
Magnitude:
\[|\vec{A} \times \vec{B}| = |\vec{A}||\vec{B}|\sin\theta\]
- \(\theta\) = angle between vectors A and B (0° ≤ θ ≤ 180°)
- Result is a vector
- Direction: perpendicular to both A and B (right-hand rule)
Component form:
\[\vec{A} \times \vec{B} = (A_yB_z - A_zB_y)\hat{i} + (A_zB_x - A_xB_z)\hat{j} + (A_xB_y - A_yB_x)\hat{k}\]
Determinant form:
\[\vec{A} \times \vec{B} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ A_x & A_y & A_z \\ B_x & B_y & B_z \end{vmatrix}\]
Special cases:
- If vectors are parallel (\(\theta = 0°\) or 180°): \(\vec{A} \times \vec{B} = 0\)
- If vectors are perpendicular (\(\theta = 90°\)): \(|\vec{A} \times \vec{B}| = AB\)
Properties:
- Anti-commutative: \(\vec{A} \times \vec{B} = -\vec{B} \times \vec{A}\)
- Distributive: \(\vec{A} \times (\vec{B} + \vec{C}) = \vec{A} \times \vec{B} + \vec{A} \times \vec{C}\)
- Cross product with itself: \(\vec{A} \times \vec{A} = 0\)
Right-hand rule for direction:
- Point fingers of right hand along first vector (A)
- Curl fingers toward second vector (B)
- Thumb points in direction of \(\vec{A} \times \vec{B}\)
Applications in Physics
Displacement and Position
Displacement vector:
\[\vec{d} = \vec{r}_f - \vec{r}_i\]
- \(\vec{r}_i\) = initial position vector
- \(\vec{r}_f\) = final position vector
- Displacement is a vector quantity
- Distance is the scalar magnitude: \(d = |\vec{d}|\)
Velocity
Average velocity:
\[\vec{v}_{avg} = \frac{\Delta\vec{r}}{\Delta t} = \frac{\vec{r}_f - \vec{r}_i}{t_f - t_i}\]
- Vector quantity with direction of displacement
- Units: m/s
Speed vs. velocity:
- Speed: scalar, magnitude of velocity
- Velocity: vector, includes direction
Velocity components:
\[\vec{v} = v_x\hat{i} + v_y\hat{j} + v_z\hat{k}\]
\[|\vec{v}| = \sqrt{v_x^2 + v_y^2 + v_z^2}\]
Acceleration
Average acceleration:
\[\vec{a}_{avg} = \frac{\Delta\vec{v}}{\Delta t} = \frac{\vec{v}_f - \vec{v}_i}{t_f - t_i}\]
- Vector quantity
- Units: m/s²
Acceleration components:
\[\vec{a} = a_x\hat{i} + a_y\hat{j} + a_z\hat{k}\]
Force
Net force (vector sum):
\[\vec{F}_{net} = \sum\vec{F}_i = \vec{F}_1 + \vec{F}_2 + \vec{F}_3 + ...\]
- Add forces as vectors (component method)
- Units: N (Newtons)
Newton's Second Law (vector form):
\[\vec{F}_{net} = m\vec{a}\]
- \(m\) = mass (scalar, kg)
- \(\vec{a}\) = acceleration vector (m/s²)
Momentum
Linear momentum:
\[\vec{p} = m\vec{v}\]
- Vector quantity in same direction as velocity
- Units: kg·m/s
Conservation of momentum (vector form):
\[\sum\vec{p}_i = \sum\vec{p}_f\]
\[\vec{p}_{1i} + \vec{p}_{2i} = \vec{p}_{1f} + \vec{p}_{2f}\]
- Must be applied component-wise in different directions
Torque
Torque as cross product:
\[\vec{\tau} = \vec{r} \times \vec{F}\]
- \(\vec{r}\) = position vector from axis of rotation to point of force application
- \(\vec{F}\) = force vector
- Direction: perpendicular to plane containing r and F (right-hand rule)
- Units: N·m
Magnitude of torque:
\[|\vec{\tau}| = rF\sin\theta\]
\[\tau = rF_{\perp} = r_{\perp}F\]
- \(\theta\) = angle between r and F
- \(F_{\perp}\) = component of force perpendicular to r
- \(r_{\perp}\) = perpendicular distance from axis to line of action of force (lever arm)
Angular Momentum
Angular momentum:
\[\vec{L} = \vec{r} \times \vec{p}\]
- \(\vec{r}\) = position vector from axis
- \(\vec{p}\) = linear momentum vector
- Units: kg·m²/s
Magnitude:
\[L = rp\sin\theta = mvr\sin\theta\]
- \(\theta\) = angle between r and p (or r and v)
Work (Using Dot Product)
Work by constant force:
\[W = \vec{F} \cdot \vec{d} = Fd\cos\theta\]
- \(\vec{F}\) = force vector
- \(\vec{d}\) = displacement vector
- \(\theta\) = angle between force and displacement
- Work is a scalar quantity
- Units: J (Joules) = N·m
Component form:
\[W = F_xd_x + F_yd_y + F_zd_z\]
Special cases:
- Force parallel to displacement (\(\theta = 0°\)): \(W = Fd\) (maximum positive work)
- Force perpendicular to displacement (\(\theta = 90°\)): \(W = 0\) (no work done)
- Force opposite to displacement (\(\theta = 180°\)): \(W = -Fd\) (negative work)
Projectile Motion
Decomposition into components:
- Horizontal component (x): constant velocity, no acceleration
- Vertical component (y): constant acceleration due to gravity
Initial velocity components:
\[v_{0x} = v_0\cos\theta\]
\[v_{0y} = v_0\sin\theta\]
- \(v_0\) = initial speed
- \(\theta\) = launch angle above horizontal
Position vector:
\[\vec{r}(t) = x(t)\hat{i} + y(t)\hat{j}\]
\[x(t) = v_{0x}t = v_0\cos\theta \cdot t\]
\[y(t) = v_{0y}t - \frac{1}{2}gt^2 = v_0\sin\theta \cdot t - \frac{1}{2}gt^2\]
Velocity vector:
\[\vec{v}(t) = v_x(t)\hat{i} + v_y(t)\hat{j}\]
\[v_x(t) = v_{0x} = v_0\cos\theta\]
\[v_y(t) = v_{0y} - gt = v_0\sin\theta - gt\]
Inclined Planes
Coordinate system rotation:
- Choose x-axis parallel to incline, y-axis perpendicular to incline
- Decompose weight vector into components
Weight components:
\[W_{\parallel} = mg\sin\theta\]
\[W_{\perp} = mg\cos\theta\]
- \(W_{\parallel}\) = component parallel to incline (down the slope)
- \(W_{\perp}\) = component perpendicular to incline (into the surface)
- \(\theta\) = angle of incline from horizontal
- \(m\) = mass (kg)
- \(g\) = acceleration due to gravity (9.8 m/s²)
Vector Resolution Summary
Key Principles
- Independence of components: Vector components along perpendicular axes are independent
- Resultant magnitude: Always use Pythagorean theorem for perpendicular components
- Direction: Use inverse tangent with quadrant consideration
- Vector addition: Add components separately, then recombine
- Dot product: Yields scalar; measures parallel components
- Cross product: Yields vector; perpendicular to both original vectors
Common MCAT Vector Applications
- Kinematics: Position, velocity, acceleration vectors
- Dynamics: Force vectors, net force calculations
- Energy: Work as dot product of force and displacement
- Momentum: Conservation in multiple dimensions
- Rotation: Torque and angular momentum as cross products
- Projectiles: Decomposition into horizontal and vertical components
- Inclines: Force resolution parallel and perpendicular to surface
Important Reminders
- Vectors can only be added to or subtracted from other vectors
- Scalars can only be added to or subtracted from other scalars
- A vector can be multiplied by a scalar to change its magnitude
- Two vectors can be multiplied using dot product (scalar result) or cross product (vector result)
- Always maintain consistent units throughout calculations
- Pay attention to angle measurement (from x-axis, from vertical, etc.)
- Use component method for most MCAT problems involving vector addition/subtraction