📄 Print pdf
00971504825082

<<<Vector Rules >>>

Resultant of Two Perpendicular Vectors

Resultant of Two Perpendicular Vectors

Basic Concepts

Perpendicular vectors are vectors that form a 90-degree angle between them.

Basic Equations

Resultant magnitude \[(R)=\sqrt {A² + B²}\]

Direction\[ (θ) = tan⁻¹ (\frac {B}{A})\]

Interactive Simulation

Resultant Calculator



Practical Applications

\[7\star\]

Ahmed moved west for \[60\;m\] then changed direction and moved \[80\;m\] south. The resultant displacement equals

\[ R=140 m \;\;\;\;, \;\;\;\;𝜃=35.3^0 \;\;\;\;\;\; -C \] Southwest

\[ R=110 m \;\;\;\;, \;\;\;\;𝜃=53^0 \;\;\;\;\;\; -A \] West South

\[ R=100 m \;\;\;\;, \;\;\;\;𝜃=53^0 \;\;\;\;\;\; -D \] Southwest

\[ R=120 m \;\;\;\;, \;\;\;\;𝜃=36.9^0 \;\;\;\;\;\; -B \] West South

  • Click here to show solution
  • Choose the correct answer






    2. Structural Engineering

    In calculating forces on bridges where horizontal and vertical forces are perpendicular:
    Resultant Force = √(F_horizontal² + F_vertical²)

    Mathematical Derivation

    To derive the resultant equation:
    1. Assume two vectors \[ A and B\] perpendicular
    2. Use vector addition property
    3. Apply Pythagorean theorem to the right triangle

    \[R² = A² + B²\]

    θ = arctan(Vertical component / Horizontal component)

    Practical Exercises

    1. If a horizontal vector is 3N and vertical vector is 4N: \[R=\sqrt {3^2+4^2}\;N\]


    Vector Analysis in Two Dimensions

    Comprehensive Analysis of Vectors in Two Dimensions

    Introduction to Vectors

    Vectors are physical quantities that have magnitude and direction, such as force and velocity. They differ from scalar quantities which have no direction. In this analysis we will explore:

    • Mathematical representation of vectors
    • Vector component analysis
    • Practical applications in physics and engineering

    Mathematical Representation of Vectors

    Vector in two dimensions: \[A = A_xî + A_yĵ\]

    Where:
    - Horizontal component \[A_x\] - Vertical component \[A_y\]
    - Unit vectors \[ î, ĵ\]

    Vector Component Analysis

    \[A_x = |A| cosθ\]
    \[A_y = |A| sinθ\] Example: A vector with 50N force at 30° angle to horizontal axis \[ A_x= 50 * cos(30°) ≈ 43.3 N\]
    \[ A_y = 50 * sin(30°) = 25 N\]

    Vector Addition

    \[ R = A + B = (A_x + B_x)î + (A_y + B_y)ĵ\] Example: \[ A = 3î + 4ĵ\]
    \[B = 2î - 5ĵ\]
    \[ R = (3+2)î + (4-5)ĵ = 5î - 1ĵ\]

    Practical Applications

    1. Air Navigation

    When calculating crosswind effects:

    \[ V_{resultant} =\sqrt { V_{plane}^2 + V_{wind}^2}\]

    2. Structural Engineering

    Calculating stresses in bridges: \[ σ_x =\frac { F}{A} cosθ\] \[ σ_y =\frac { F}{A} sinθ\]

    Vector Calculation Simulation Tool

    Conclusions

    The practical importance of vector analysis appears in:

    • Design of mechanical systems
    • Motion analysis in video games
    • GPS positioning systems




    Resultant of Two Vectors Using Cosine Law

    Calculating Resultant of Two Vectors Using Cosine Law

    Basic Concepts

    The vector resultant is defined as...

    Absolute resultant equation:
    \[ R² = A² + B² + 2AB cosθ\]
    Resultant direction equation:
    \[ tanφ = \frac {B sinθ} {A + B cosθ}\]

    Mathematical Derivation

    We start with the cosine law for triangles...

    Assume two vectors \[ A and B \] with angle\[ θ\] between them

    \[ R² = A² + B² - 2AB cos(180° - θ)\]
    Since \[cos(180° - θ) = -cosθ\]
    \[ ∴ R² = A² + B² + 2AB cosθ\]

    Practical Application

    Example 1: Mechanical Forces

    If a 50N force acts at 60° angle to another 30N force:

    \[R = \sqrt {(50² + 30² + 2*50*30*cos60°)}\]
    \[ R = \sqrt {(2500 + 900 + 1500)} = \sqrt {4900} = 70 \;N\]

    Computer Application

    Practical Applications

    • Structural Engineering: Calculating forces on bridges
    • Air Navigation: Determining aircraft direction
    • Electrical Engineering: Adding variable voltages

    Conclusion

    This method is fundamental in...

    Vector Addition and Subtraction in 3D Space

    Vector Operations in Three-Dimensional Space

    Basic Concepts

    Vector Definition

    In mathematics, a vector is a quantity that has both magnitude and direction. In 3D space, a vector is typically expressed using three components

    Mathematical Symbol:

    \[A = (A_xî + A_yĵ + A_zk̂)\]

    Basic Operations

    Vector Addition

    Mathematical Equation:
    \[ A + B =(A_x+B_x)î + (A_y+B_y)ĵ + (A_z+B_z)k̂\]

    Addition Function \[ v1.x + v2.x,\\ v1.y + v2.y,\\ v1.z + v2.z\]

    Vector Subtraction

    Mathematical Equation:
    \[ A - B =(A_x-B_x)î + (A_y-B_y)ĵ + (A_z-B_z)k̂\]

    Subtraction Function \[ v1.x - v2.x,\\ v1.y - v2.y,\\

    Practical Applications

    In Mechanical Engineering

    • Calculating resultant forces in bridge systems
    • Stress analysis in complex structures

    In Computer Graphics

    • Moving 3D models
    • Calculating lighting and shadows

    Conclusion

    Vector operations are fundamental in many modern technological applications ranging from aircraft navigation systems to 3D game engines...

    Dot and Cross Product of 3D Vectors

    Dot and Cross Product of 3D Vectors

    Introduction

    In mathematics and physics, vector multiplication operations are fundamental tools for understanding relationships between vector quantities. We will cover:

    • Dot Product (Scalar Product)
    • Cross Product (Vector Product)
    • Practical applications of each

    Dot Product (Scalar Product)

    Geometric Definition

    \[a · b = |a||b|cosθ\]

    Where θ is the angle between the vectors

    Algebraic Formula

    If:
    \[ a = (a_x, a_y, a_z)\] \[ b= (b_x, b_y, b_z)\] Then:
    \[a · b = a_x.b_x + a_y.b_y + a_z.b_z\]

    Practical Example

    \[\vec A=(3î , -5ĵ , 2k̂)\] \[\vec B=(7î , 1ĵ , -4k̂)\] \[\vec A.\vec B=(3×7)+(-5×1)+(2×-4)=21-5-8=8\]

    Properties

    • The result is a scalar quantity
    • Follows distributive property: \[ a·(b+c) = a·b + a·c\]
    • Positive when angle is acute

    Cross Product (Vector Product)

    Geometric Definition

    \[|a × b| = |a||b|sinθ\]

    Direction is perpendicular to the plane containing the vectors

    Algebraic Formula

    \[ a × b =\] \[\begin{bmatrix} i & j & k \\ a_X & a_Y & a_Z \\ b_X& b_Y & b_Z \end{bmatrix}\]

    Practical Example

    Cross Product \[\vec A=(2î , 1ĵ , -3k̂)\] \[\vec B=(4î , -1ĵ , 5k̂)\] \[\vec A×\vec B=(1×5)-(-3×-1)î ,(-3×4)-(2×5)ĵ,(2×-1)-(1×4)k̂=(2î ,-22ĵ ,-6ĵ )\]

    Properties

    • The result is a new vector
    • Anti-commutative:\[ a × b = -(b × a)\]
    • Its magnitude equals the area of parallelogram

    Practical Applications

    Dot Product in Real Life

    • Work Calculation: Work = Force · Displacement
    • Computer Graphics: Calculating lighting using angle between light vector and surface
    • Navigation: Determining movement direction relative to wind direction

    Cross Product in Real Life

    • Torque:\[ τ = r × F\]
    • Magnetic Fields: F = q(v × B)\]
    • Engineering:\[ Calculating areas and volumes

    Key Differences

    Property Dot Product Cross Product
    Operation Result
    Scalar
    Vector
    Direction
    None
    Perpendicular to plane
    Commutativity
    \[a·b = b·a\]
    \[a×b = -b×a\]

    Advanced Applications

    In Mechanical Engineering

    Calculating moment of inertia:
    \[ I = Σm_i (r_i × v_i)\]

    In Artificial Intelligence

    In Astrophysics

    Calculating angular momentum:
    \[L = r × p\]

    Conclusion

    These operations are fundamental in:

    1. Mathematical modeling of natural phenomena
    2. Algorithm development in computer science
    3. Design of complex engineering systems

    Write a comment, and if there is mistake, write and specify its location Write a comment, and if there is mistake, write and specify its location

    0 Comments