Welcome, future engineers! In our previous discussions, we explored the scalar product or dot product of vectors, which gave us a scalar quantity related to the projection of one vector onto another. Today, we're going to dive deep into another fundamental operation in vector algebra: the Vector Product, also famously known as the Cross Product. Unlike the scalar product, the cross product of two vectors yields a new vector quantity. This operation is crucial in many areas of physics and engineering, especially when dealing with concepts like torque, angular momentum, and magnetic force.
The vector product of two non-zero vectors $mathbf{a}$ and $mathbf{b}$, denoted by $mathbf{a} imes mathbf{b}$, is defined as a vector whose magnitude is given by:
$$ |mathbf{a} imes mathbf{b}| = |mathbf{a}| |mathbf{b}| sin heta $$
where $ |mathbf{a}| $ is the magnitude of vector $mathbf{a}$, $ |mathbf{b}| $ is the magnitude of vector $mathbf{b}$, and $ heta $ is the angle between $mathbf{a}$ and $mathbf{b}$ ($0 le heta le pi$).
Now, for its direction: The vector $mathbf{a} imes mathbf{b}$ is perpendicular to both $mathbf{a}$ and $mathbf{b}$. More precisely, its direction is given by the right-hand rule. If you curl the fingers of your right hand from vector $mathbf{a}$ to vector $mathbf{b}$ (through the smaller angle $ heta$), your thumb will point in the direction of $mathbf{a} imes mathbf{b}$.
Thus, we can write the complete definition as:
$$ mathbf{a} imes mathbf{b} = (|mathbf{a}| |mathbf{b}| sin heta) hat{mathbf{n}} $$
where $ hat{mathbf{n}} $ is a unit vector perpendicular to both $mathbf{a}$ and $mathbf{b}$, and its direction is determined by the right-hand rule.
The cross product behaves differently from scalar multiplication or even the dot product. Let's explore its key properties:
$$ mathbf{a} imes mathbf{b} = -(mathbf{b} imes mathbf{a}) $$
This is because if you apply the right-hand rule from $mathbf{b}$ to $mathbf{a}$, your thumb will point in the opposite direction compared to $mathbf{a}$ to $mathbf{b}$. The magnitude remains the same, but the direction reverses.
$$ mathbf{a} imes (mathbf{b} + mathbf{c}) = mathbf{a} imes mathbf{b} + mathbf{a} imes mathbf{c} $$
$$ (kmathbf{a}) imes mathbf{b} = k(mathbf{a} imes mathbf{b}) = mathbf{a} imes (kmathbf{b}) $$
Therefore, if $mathbf{a} || mathbf{b}$, then $ mathbf{a} imes mathbf{b} = mathbf{0} $ (the zero vector).
This is a crucial condition for collinearity of vectors!
$$ mathbf{a} imes mathbf{a} = mathbf{0} $$
This is a direct consequence of the parallel vectors property ($ heta = 0^circ $).
Tip: Remember the cyclic order (i -> j -> k -> i). Going with the cycle gives positive results; against the cycle gives negative results.
When vectors are given in component form, say $mathbf{a} = a_1mathbf{i} + a_2mathbf{j} + a_3mathbf{k}$ and $mathbf{b} = b_1mathbf{i} + b_2mathbf{j} + b_3mathbf{k}$, their cross product can be calculated using a determinant:
$$ mathbf{a} imes mathbf{b} = egin{vmatrix} mathbf{i} & mathbf{j} & mathbf{k} \ a_1 & a_2 & a_3 \ b_1 & b_2 & b_3 end{vmatrix} $$
Expanding this determinant gives:
$$ mathbf{a} imes mathbf{b} = (a_2b_3 - a_3b_2)mathbf{i} - (a_1b_3 - a_3b_1)mathbf{j} + (a_1b_2 - a_2b_1)mathbf{k} $$
or
$$ mathbf{a} imes mathbf{b} = (a_2b_3 - a_3b_2)mathbf{i} + (a_3b_1 - a_1b_3)mathbf{j} + (a_1b_2 - a_2b_1)mathbf{k} $$
Let's derive this using the distributive property and the cross products of unit vectors:
$$ mathbf{a} imes mathbf{b} = (a_1mathbf{i} + a_2mathbf{j} + a_3mathbf{k}) imes (b_1mathbf{i} + b_2mathbf{j} + b_3mathbf{k}) $$
Expand this term by term:
$$ mathbf{a} imes mathbf{b} = a_1b_1(mathbf{i} imes mathbf{i}) + a_1b_2(mathbf{i} imes mathbf{j}) + a_1b_3(mathbf{i} imes mathbf{k}) $$
$$ qquad + a_2b_1(mathbf{j} imes mathbf{i}) + a_2b_2(mathbf{j} imes mathbf{j}) + a_2b_3(mathbf{j} imes mathbf{k}) $$
$$ qquad + a_3b_1(mathbf{k} imes mathbf{i}) + a_3b_2(mathbf{k} imes mathbf{j}) + a_3b_3(mathbf{k} imes mathbf{k}) $$
Substitute the known cross products of unit vectors:
$$ mathbf{a} imes mathbf{b} = a_1b_1(mathbf{0}) + a_1b_2(mathbf{k}) + a_1b_3(-mathbf{j}) $$
$$ qquad + a_2b_1(-mathbf{k}) + a_2b_2(mathbf{0}) + a_2b_3(mathbf{i}) $$
$$ qquad + a_3b_1(mathbf{j}) + a_3b_2(-mathbf{i}) + a_3b_3(mathbf{0}) $$
Group terms by $mathbf{i}, mathbf{j}, mathbf{k}$:
$$ mathbf{a} imes mathbf{b} = (a_2b_3 - a_3b_2)mathbf{i} + (a_3b_1 - a_1b_3)mathbf{j} + (a_1b_2 - a_2b_1)mathbf{k} $$
This is exactly the expansion of the determinant form, confirming its validity.
The magnitude of the cross product $ |mathbf{a} imes mathbf{b}| $ represents the area of the parallelogram formed by vectors $mathbf{a}$ and $mathbf{b}$ as adjacent sides.
Derivation: Consider a parallelogram with adjacent sides represented by vectors $mathbf{a}$ and $mathbf{b}$. Let $ heta$ be the angle between them. The base of the parallelogram can be taken as $ |mathbf{a}| $. The height, $h$, of the parallelogram is $ |mathbf{b}| sin heta $.
Area of parallelogram = base $ imes $ height = $ |mathbf{a}| (|mathbf{b}| sin heta) = |mathbf{a}| |mathbf{b}| sin heta $.
This is precisely $ |mathbf{a} imes mathbf{b}| $.
Since a diagonal divides a parallelogram into two congruent triangles, the area of a triangle with adjacent sides $mathbf{a}$ and $mathbf{b}$ is half the area of the parallelogram.
Area of triangle $ = frac{1}{2} |mathbf{a} imes mathbf{b}| $.
If the vertices of a triangle are $A, B, C$, then its area can be found using vectors $vec{AB}$ and $vec{AC}$:
Area of $ riangle ABC = frac{1}{2} |vec{AB} imes vec{AC}| $.
One of the most direct applications is finding a vector perpendicular to a plane containing two given vectors. If a plane is defined by two non-parallel vectors $mathbf{a}$ and $mathbf{b}$, then $mathbf{a} imes mathbf{b}$ gives a normal vector to that plane. To find a unit vector perpendicular to both $mathbf{a}$ and $mathbf{b}$, we simply normalize the cross product:
$$ hat{mathbf{n}} = frac{mathbf{a} imes mathbf{b}}{|mathbf{a} imes mathbf{b}|} $$
There are always two such unit vectors, $ hat{mathbf{n}} $ and $ -hat{mathbf{n}} $.
In physics, the cross product naturally appears in several definitions:
These examples highlight why understanding the direction and magnitude of the cross product is so vital.
This is a powerful identity connecting the cross product and dot product. For any two vectors $mathbf{a}$ and $mathbf{b}$:
$$ |mathbf{a} imes mathbf{b}|^2 = |mathbf{a}|^2 |mathbf{b}|^2 - (mathbf{a} cdot mathbf{b})^2 $$
Derivation:
We know that $ |mathbf{a} imes mathbf{b}| = |mathbf{a}| |mathbf{b}| sin heta $. Squaring both sides, we get:
$$ |mathbf{a} imes mathbf{b}|^2 = (|mathbf{a}| |mathbf{b}| sin heta)^2 = |mathbf{a}|^2 |mathbf{b}|^2 sin^2 heta $$
Using the trigonometric identity $ sin^2 heta = 1 - cos^2 heta $:
$$ |mathbf{a} imes mathbf{b}|^2 = |mathbf{a}|^2 |mathbf{b}|^2 (1 - cos^2 heta) $$
$$ |mathbf{a} imes mathbf{b}|^2 = |mathbf{a}|^2 |mathbf{b}|^2 - |mathbf{a}|^2 |mathbf{b}|^2 cos^2 heta $$
We also know that $ mathbf{a} cdot mathbf{b} = |mathbf{a}| |mathbf{b}| cos heta $. Squaring this gives $ (mathbf{a} cdot mathbf{b})^2 = (|mathbf{a}| |mathbf{b}| cos heta)^2 = |mathbf{a}|^2 |mathbf{b}|^2 cos^2 heta $.
Substitute this back into the equation:
$$ |mathbf{a} imes mathbf{b}|^2 = |mathbf{a}|^2 |mathbf{b}|^2 - (mathbf{a} cdot mathbf{b})^2 $$
This identity is extremely useful in JEE problems, allowing you to switch between dot and cross product magnitudes or when the angle is not directly known but dot product or magnitudes are. It also implies that $ |mathbf{a} imes mathbf{b}|^2 + (mathbf{a} cdot mathbf{b})^2 = |mathbf{a}|^2 |mathbf{b}|^2 $.
As discussed, if $mathbf{a} || mathbf{b}$, then $mathbf{a} imes mathbf{b} = mathbf{0}$. This provides a rigorous test for collinearity for non-zero vectors. If $ mathbf{a} imes mathbf{b} = mathbf{0} $, then $mathbf{a}$ and $mathbf{b}$ are parallel (or one of them is a zero vector).
Let's solidify our understanding with some practical examples.
Example 1: Given vectors $mathbf{a} = 2mathbf{i} + 3mathbf{j} + 4mathbf{k}$ and $mathbf{b} = mathbf{i} - mathbf{j} + 2mathbf{k}$. Find $ mathbf{a} imes mathbf{b} $ and a unit vector perpendicular to both $mathbf{a}$ and $mathbf{b}$.
Solution:
First, calculate the cross product using the determinant form:
$$ mathbf{a} imes mathbf{b} = egin{vmatrix} mathbf{i} & mathbf{j} & mathbf{k} \ 2 & 3 & 4 \ 1 & -1 & 2 end{vmatrix} $$
Expanding the determinant:
$$ = mathbf{i}((3)(2) - (4)(-1)) - mathbf{j}((2)(2) - (4)(1)) + mathbf{k}((2)(-1) - (3)(1)) $$
$$ = mathbf{i}(6 + 4) - mathbf{j}(4 - 4) + mathbf{k}(-2 - 3) $$
$$ = 10mathbf{i} - 0mathbf{j} - 5mathbf{k} = 10mathbf{i} - 5mathbf{k} $$
So, $ mathbf{a} imes mathbf{b} = 10mathbf{i} - 5mathbf{k} $.
Next, find the magnitude of $ mathbf{a} imes mathbf{b} $:
$$ |mathbf{a} imes mathbf{b}| = sqrt{10^2 + (-5)^2} = sqrt{100 + 25} = sqrt{125} = 5sqrt{5} $$
A unit vector perpendicular to both $ mathbf{a} $ and $ mathbf{b} $ is $ hat{mathbf{n}} = frac{mathbf{a} imes mathbf{b}}{|mathbf{a} imes mathbf{b}|} $:
$$ hat{mathbf{n}} = frac{10mathbf{i} - 5mathbf{k}}{5sqrt{5}} = frac{2mathbf{i} - mathbf{k}}{sqrt{5}} = frac{2}{sqrt{5}}mathbf{i} - frac{1}{sqrt{5}}mathbf{k} $$
Note that $ -hat{mathbf{n}} $ is also a valid unit vector perpendicular to both.
Example 2: Find the area of the triangle with vertices $A(1,1,1)$, $B(1,2,3)$, and $C(2,3,1)$.
Solution:
First, form two vectors representing two sides of the triangle, say $ vec{AB} $ and $ vec{AC} $:
$$ vec{AB} = B - A = (1-1)mathbf{i} + (2-1)mathbf{j} + (3-1)mathbf{k} = 0mathbf{i} + 1mathbf{j} + 2mathbf{k} $$
$$ vec{AC} = C - A = (2-1)mathbf{i} + (3-1)mathbf{j} + (1-1)mathbf{k} = 1mathbf{i} + 2mathbf{j} + 0mathbf{k} $$
Now, calculate the cross product $ vec{AB} imes vec{AC} $:
$$ vec{AB} imes vec{AC} = egin{vmatrix} mathbf{i} & mathbf{j} & mathbf{k} \ 0 & 1 & 2 \ 1 & 2 & 0 end{vmatrix} $$
$$ = mathbf{i}((1)(0) - (2)(2)) - mathbf{j}((0)(0) - (2)(1)) + mathbf{k}((0)(2) - (1)(1)) $$
$$ = mathbf{i}(0 - 4) - mathbf{j}(0 - 2) + mathbf{k}(0 - 1) $$
$$ = -4mathbf{i} + 2mathbf{j} - mathbf{k} $$
Next, find the magnitude of this cross product:
$$ |vec{AB} imes vec{AC}| = sqrt{(-4)^2 + 2^2 + (-1)^2} = sqrt{16 + 4 + 1} = sqrt{21} $$
The area of the triangle is half of this magnitude:
$$ ext{Area of } riangle ABC = frac{1}{2} |vec{AB} imes vec{AC}| = frac{sqrt{21}}{2} ext{ square units.} $$
Example 3 (JEE Focus - Lagrange's Identity): If $ |mathbf{a}| = 3 $, $ |mathbf{b}| = 5 $ and $ mathbf{a} cdot mathbf{b} = 7 $, find $ |mathbf{a} imes mathbf{b}| $.
Solution:
We can use Lagrange's Identity: $ |mathbf{a} imes mathbf{b}|^2 = |mathbf{a}|^2 |mathbf{b}|^2 - (mathbf{a} cdot mathbf{b})^2 $.
Given:
Substitute these values into the identity:
$$ |mathbf{a} imes mathbf{b}|^2 = (9)(25) - 49 $$
$$ |mathbf{a} imes mathbf{b}|^2 = 225 - 49 $$
$$ |mathbf{a} imes mathbf{b}|^2 = 176 $$
Therefore,
$$ |mathbf{a} imes mathbf{b}| = sqrt{176} = sqrt{16 imes 11} = 4sqrt{11} $$
The vector product is a cornerstone of vector algebra with profound implications in physics and advanced mathematics. Mastering its definition, properties, and applications will be invaluable for your success in JEE and beyond!
| $hat{i}$ | $hat{j}$ | $hat{k}$ |
|---|---|---|
| $A_x$ | $A_y$ | $A_z$ |
| $B_x$ | $B_y$ | $B_z$ |
Mastering the cross product is crucial for both theoretical understanding and problem-solving efficiency in vector algebra.
| Aspect | JEE Main Focus | CBSE Board Focus |
|---|---|---|
| Speed & Accuracy | Crucial for determinant calculations and property application. | Focus on step-by-step method and correct formulae. |
| Conceptual Depth | Using cross product to find shortest distance between skew lines (often involves vector triple product), finding equations of planes, complex geometric interpretations. | Direct applications like finding area of parallelogram/triangle, finding a vector perpendicular to two given vectors. |
| Problem Types | Problems often integrate cross product with other vector/3D geometry concepts. e.g., finding a vector in a specific plane and perpendicular to another vector. | Straightforward problems on definitions, properties, and area calculations. |
Keep these tips handy to efficiently tackle problems involving the vector (cross) product. Practice makes perfect!
The vector (cross) product, denoted as $mathbf{a} imes mathbf{b}$, is a fundamental operation in vector algebra that yields a vector quantity. Unlike the dot product which tells us "how much two vectors point in the same direction," the cross product intuitively tells us "how much two vectors are perpendicular" and provides a direction that is perpendicular to both.
The magnitude of the cross product, $|mathbf{a} imes mathbf{b}|$, has a direct geometric interpretation:
The direction of the resulting vector $mathbf{a} imes mathbf{b}$ is crucial and uniquely defined:
For both JEE and CBSE, a solid intuitive understanding of the cross product is invaluable. Recognizing its magnitude as an area and its direction as perpendicular to the plane containing the vectors simplifies many problems. In JEE, this intuition is particularly helpful for geometry problems (e.g., finding the area of triangles/parallelograms, finding the normal vector to a plane) and physics applications (e.g., torque, angular momentum, magnetic force on a charge).
In essence, the cross product gives us a vector that quantifies the "perpendicular leverage" between two vectors and points along the axis perpendicular to the plane they define, indicating a rotational tendency.
The vector (cross) product is a fundamental operation in vector algebra with profound applications across various fields of science, engineering, and computer graphics. Unlike the scalar (dot) product which yields a scalar value, the cross product of two vectors results in a new vector that is perpendicular to both original vectors. This unique property, along with its magnitude representing the area of a parallelogram formed by the two vectors, makes it indispensable for solving problems involving rotation, force, and orientation in three-dimensional space.
Understanding these real-world applications not only solidifies your conceptual grasp of the cross product but also highlights its practical importance, which is frequently tested in physics-based problems in exams like JEE Main.
One of the most direct and physically significant applications. Torque is the rotational equivalent of linear force. When a force is applied to an object at some distance from a pivot point, it tends to cause rotation. The torque vector $vec{ au}$ is defined as the cross product of the position vector $vec{r}$ (from the pivot to the point of force application) and the force vector $vec{F}$:
$$vec{ au} = vec{r} imes vec{F}$$
The direction of the torque vector indicates the axis of rotation, and its magnitude represents the "rotational effectiveness" of the force. This concept is crucial in mechanics, robotics, and structural engineering.
In electromagnetism, the force $vec{F}$ experienced by a charged particle $q$ moving with velocity $vec{v}$ in a magnetic field $vec{B}$ is given by the Lorentz force equation, which involves a cross product:
$$vec{F} = q(vec{v} imes vec{B})$$
This formula precisely describes how the force is always perpendicular to both the velocity of the charge and the magnetic field, a principle fundamental to electric motors, particle accelerators, and many other technologies. This concept is regularly tested in JEE Physics.
Given two non-parallel vectors $vec{A}$ and $vec{B}$ lying on a plane, their cross product $vec{A} imes vec{B}$ yields a vector that is perpendicular (normal) to that plane. This is immensely useful:
The magnitude of the cross product of two vectors $vec{A}$ and $vec{B}$ ($|vec{A} imes vec{B}|$) gives the area of the parallelogram formed by these two vectors. Consequently, half of this magnitude gives the area of the triangle formed by the vectors. This property is used in:
Similar to torque, angular momentum $vec{L}$ of a particle with position vector $vec{r}$ and linear momentum $vec{p}$ is defined as their cross product:
$$vec{L} = vec{r} imes vec{p}$$
This quantity is conserved in isolated systems and is crucial for understanding the rotational dynamics of objects, from planets to subatomic particles.
The cross product serves as a powerful mathematical tool for describing phenomena that involve perpendicular relationships and rotational effects in 3D space. Mastering its calculation and properties is essential for tackling problems in physics and advanced mathematics for JEE and beyond.
Understanding the Vector (Cross) Product can be made more intuitive through common analogies that relate abstract mathematical concepts to real-world phenomena. These analogies help in visualizing the direction and magnitude of the resultant vector, which are crucial for problem-solving in JEE and board exams.
Here are some key analogies for the Vector (Cross) Product:
By internalizing these analogies, you can build a strong conceptual foundation for the vector cross product, which will significantly aid in solving complex problems efficiently in your exams.
Before diving into the intricacies of the Vector (Cross) Product, it's crucial to have a solid foundation in basic vector algebra. A firm grasp of the following concepts will ensure a smoother learning curve and better problem-solving ability in this section.
| Matrix Size | Calculation Example |
|---|---|
| 2x2 | |
| 3x3 |
Remember: Strengthening these fundamental concepts will build a robust framework for mastering the vector (cross) product and its applications in JEE Main. Good luck!
The vector (cross) product is a fundamental concept in vector algebra, but it's also a source of common errors in both board and competitive exams like JEE Main. Being aware of these traps can significantly improve accuracy and prevent loss of marks.
Consider vectors $vec{P} = 2hat{i} + 3hat{j}$ and $vec{Q} = -hat{i} + 4hat{j}$.
Student Trap: Calculating $vec{Q} imes vec{P}$ when asked for $vec{P} imes vec{Q}$.
| Correct Calculation ($vec{P} imes vec{Q}$) | Common Trap Calculation ($vec{Q} imes vec{P}$) |
|---|---|
$vec{P} imes vec{Q} = (2hat{i} + 3hat{j}) imes (-hat{i} + 4hat{j})$ $= 2hat{i} imes (-hat{i}) + 2hat{i} imes 4hat{j} + 3hat{j} imes (-hat{i}) + 3hat{j} imes 4hat{j}$ $= vec{0} + 8(hat{i} imes hat{j}) - 3(hat{j} imes hat{i}) + vec{0}$ $= 8hat{k} - 3(-hat{k})$ $= 8hat{k} + 3hat{k} = mathbf{11hat{k}}$ | $vec{Q} imes vec{P} = (-hat{i} + 4hat{j}) imes (2hat{i} + 3hat{j})$ $= -hat{i} imes 2hat{i} -hat{i} imes 3hat{j} + 4hat{j} imes 2hat{i} + 4hat{j} imes 3hat{j}$ $= vec{0} - 3(hat{i} imes hat{j}) + 8(hat{j} imes hat{i}) + vec{0}$ $= -3hat{k} + 8(-hat{k})$ $= -3hat{k} - 8hat{k} = mathbf{-11hat{k}}$ |
Notice that $vec{P} imes vec{Q} = -(vec{Q} imes vec{P})$, demonstrating the anti-commutative property. A simple mix-up in the order can lead to a sign error, resulting in incorrect answers.
By carefully understanding these common traps and practicing diligently, you can avoid these pitfalls and maximize your scores in exams. Always double-check your application of the right-hand rule and the order of vectors in cross products!
The vector (cross) product is a fundamental operation in vector algebra, crucial for both JEE Main and CBSE board exams. It yields a vector perpendicular to the plane containing the two original vectors, with its magnitude representing the area of a parallelogram formed by them. Mastering its definition, properties, and applications is essential for solving a wide range of problems.
Here are the key takeaways you must remember:
$vec{a} imes vec{b} = egin{vmatrix} hat{i} & hat{j} & hat{k} \ a_1 & a_2 & a_3 \ b_1 & b_2 & b_3 end{vmatrix}$
Keep these points handy for quick revision. Understanding the cross product's direction and its determinant form is vital for efficient problem-solving.
A systematic approach is crucial for efficiently solving problems involving the vector (cross) product in competitive exams like JEE Main and board exams. Understanding not just the definition, but also how and when to apply it, will save significant time and reduce errors.
By following this systematic approach, you can break down complex problems into manageable steps, minimizing errors and building confidence in solving vector cross product questions for both CBSE and JEE Main examinations.
CBSE vs. JEE Focus:
| CBSE Board Exams | JEE Main/Advanced |
|---|---|
| Primarily focuses on direct application of formulas and properties. | Often involves more complex problems, combining cross product with other vector concepts, and deeper theoretical understanding. |
| Standard questions like finding area, perpendicular vector, or checking parallelism are common. | May include triple products, vector equations, geometric reasoning in 3D, and challenging algebraic manipulation. |
| Emphasis on clear step-by-step solutions and accurate calculations. | Focus on conceptual understanding, speed, and problem-solving strategies. |
Exam Tip: For CBSE, practice computing cross products accurately using the determinant method. Pay attention to the correct signs. Always simplify your final vector result. Clearly state the formulas used for area calculations.
Mastering these aspects will ensure you are well-prepared for cross product questions in your CBSE board examinations. Keep practicing!
The vector product, or cross product, is a fundamental concept in vector algebra with significant applications in geometry and physics, frequently tested in JEE Main. A deep understanding of its definition, properties, and applications is crucial for scoring well.
Mastering these properties is vital for solving complex JEE problems quickly:
The cross product is invaluable for geometric calculations:
For $mathbf{a} = a_1mathbf{i} + a_2mathbf{j} + a_3mathbf{k}$ and $mathbf{b} = b_1mathbf{i} + b_2mathbf{j} + b_3mathbf{k}$:
| Cross Product Calculation |
|---|
$mathbf{a} imes mathbf{b} = egin{vmatrix} mathbf{i} & mathbf{j} & mathbf{k} \ a_1 & a_2 & a_3 \ b_1 & b_2 & b_3 end{vmatrix}$ $= mathbf{i}(a_2b_3 - a_3b_2) - mathbf{j}(a_1b_3 - a_3b_1) + mathbf{k}(a_1b_2 - a_2b_1)$ |
JEE Tip: Practice this determinant calculation extensively to avoid silly errors under time pressure.
Stay sharp and practice diverse problems to master the vector cross product. Itโs a rewarding topic in terms of score potential!
No videos available yet.
No images available yet.
| i j k |The sign of the 'j' component is incorrect.
| 2 1 0 |
| 1 0 3 |
Incorrect step: i((1)(3) - (0)(0)) + j((2)(3) - (0)(1)) + k((2)(0) - (1)(1))
= 3i + 6j - k
A x B = | i j k |Notice the correct negative sign for the 'j' component, as per determinant expansion rules.
| 2 1 0 |
| 1 0 3 |
= i((1)(3) - (0)(0)) - j((2)(3) - (0)(1)) + k((2)(0) - (1)(1))
= i(3) - j(6) + k(-1)
= 3i - 6j - k
| i j k |
| Ax Ay Az |
| Bx By Bz |,A x B = (2i) x (3j) = 6 (i x j) = 6k. (This is correct) B x A = (3j) x (2i) = 6 (j x i) = 6 (-i x j) = -6k. This is often where students might inadvertently write 6k again, forgetting j x i = -k, thus making a sign error.i(...) - j(...) + k(...). Be extra careful with the negative sign for the j component's cofactor.sin(θ) term. This is a common pitfall in JEE Main where precise understanding of approximations is tested. θ while neglecting the magnitudes |a| and |b| in |a x b| = |a||b|sin(θ).sin(θ) ≈ θ (for θ in radians) correctly but then incorrectly concluding the resulting value |a||b|θ is negligible without evaluating its actual numerical value.a x b is exactly zero if and only if vectors a and b are parallel or antiparallel (i.e., the angle θ is 0 or π radians).θ is small but not zero, then sin(θ) is small but not zero. Consequently, |a x b| = |a||b|sin(θ) will also be small but not zero.sin(θ) ≈ θ (in radians) for small angles. However, always calculate the approximate magnitude |a||b|θ to determine if it is truly negligible in the context of the problem. A value of 50 is small compared to 50000, but not negligible if the other quantities are in the tens or hundreds.Consider two vectors, A with magnitude 1000 N and B with magnitude 5 m, with an angle of 0.005 radians between them.
Wrong Thinking: "The angle is very small (0.005 radians), so A x B is approximately zero."
Using the same vectors A (|A|=1000 N) and B (|B|=5 m) with θ = 0.005 radians:
Correct Approach:|A x B| = |A||B|sin(θ)
Since θ = 0.005 radians is small, we can use the approximation sin(θ) ≈ θ.|A x B| ≈ |A||B|θ|A x B| ≈ 1000 * 5 * 0.005|A x B| ≈ 5000 * 0.005 = 25
This magnitude (25 N.m, for example, if A is force and B is position vector) is clearly not zero and can be significant in a problem, demonstrating why simply approximating to zero is a mistake.
|a||b|θ when using small angle approximation for cross products to see if the resulting value is truly negligible or not.| →i | →j | →k |
|---|---|---|
| 1 | 1 | 0 |
| 0 | 2 | 1 |
Given: Vector A has magnitude 5 m. Vector B has magnitude 20 cm.
Incorrect Calculation: If θ is the angle between them, |A x B| = (5 m) × (20 cm) × sin(θ) = 100 sin(θ) m.cm
(This result is numerically and dimensionally incorrect for a standard unit system.)
Given: Vector A has magnitude 5 m. Vector B has magnitude 20 cm.
Step 1: Convert units to be consistent.
20 cm = 0.2 m
Step 2: Perform the cross product.
|A x B| = (5 m) × (0.2 m) × sin(θ) = 1.0 sin(θ) m2
(The magnitude is 1.0 sin(θ) and the unit is correctly m2, representing an area.)
A student needs to find b ร a after calculating a ร b. If a ร b = 3i + 2j - k, the student incorrectly assumes b ร a = 3i + 2j - k.
Given a ร b = 3i + 2j - k. According to the anti-commutative property, b ร a must be the negative of a ร b.
Therefore, b ร a = -(3i + 2j - k) = -3i - 2j + k.
| i j k |
| aโ aโ aโ |
| bโ bโ bโ |
| i | j | k | |
|---|---|---|---|
| 2 | 1 | 0 | |
| 1 | 3 | 0 |
| i | j | k | |
|---|---|---|---|
| 1 | 3 | 0 | |
| 2 | 1 | 0 |
+ - +) when expanding the 3x3 determinant. Students often forget or misplace the negative sign for the j-component, leading to an incorrect resultant vector. +i (determinant) -j (determinant) +k (determinant). Be careful with each 2x2 minor determinant calculation as well. | i j k |
| 2 1 -1 |
| 1 -3 2 |
= i((1)(2) - (-1)(-3)) + j((2)(2) - (-1)(1)) + k((2)(-3) - (1)(1))= i(2 - 3) + j(4 + 1) + k(-6 - 1)= -i + 5j - 7k (Incorrect vector)= i((1)(2) - (-1)(-3)) - j((2)(2) - (-1)(1)) + k((2)(-3) - (1)(1))= i(2 - 3) - j(4 + 1) + k(-6 - 1)= -i - 5j - 7k (Correct vector)+ - + above the i, j, k components.a x b = b x a, which is incorrect. This leads to errors in the direction (and thus the components) of the resultant vector, often resulting in a sign error. ab = ba) or the dot product (where a . b = b . a) contributes to this misconception. Incorrect application or complete neglect of the Right-Hand Rule is also a major cause. a x b = - (b x a). The direction of a x b is perpendicular to both a and b, determined by the Right-Hand Rule. If you curl the fingers of your right hand from vector a towards vector b (through the smaller angle), your thumb points in the direction of a x b. a = i - j and b = k. A student might incorrectly calculate a x b as b x a, leading to:b x a = k x (i - j) = k x i - k x j = j - (-i) = i + j.a x b = i + j.a = i - j and b = k:a x b = (i - j) x k = (i x k) - (j x k) = (-j) - (i) = -i - j.b x a = k x (i - j) = (k x i) - (k x j) = j - (-i) = i + j.a x b = -i - j and b x a = i + j, clearly demonstrating a x b = - (b x a).i, j, k), mentally or physically apply the Right-Hand Rule.i x j = k, j x k = i, k x i = j. Any reversal (e.g., j x i) immediately implies a negative sign (-k).V and -V. A single sign error can lead to choosing a plausible but incorrect option. Double-check the direction carefully, especially when cross products are part of a larger calculation like scalar triple product or vector triple product.A x B = | i j k |
| 1 1 0 |
| 0 1 1 |= (1*1 - 0*1)i - (1*1 - 0*0)j + (1*1 - 1*0)k = i - j + kB x A = | i j k |
| 0 1 1 |
| 1 1 0 |= (1*0 - 1*1)i - (0*0 - 1*1)j + (0*1 - 1*1)k = -i + j - ka x b โ b x a. They might incorrectly assume the order doesn't matter or misapply the right-hand rule, leading to errors in the direction of the resulting vector. a . b = b . a).nฬ in the formula a x b = |a||b|sinฮธ nฬ.a x b yields a vector perpendicular to both a and b. Its direction is determined by the right-hand thumb rule:a x b direction.a x b = - (b x a). i x j = j x i, or incorrectly stating j x i = k.i, j, k along X, Y, Z axes:i x j = kj x k = ik x i = jj x i = -kk x j = -ii x k = -jA x B = - (B x A).i โ j โ k โ i. Going against this cycle introduces a negative sign.a x b and b x a to solidify directional differences.Mathematically: a × b = - (b × a)
The direction is determined by the right-hand rule: if you curl the fingers of your right hand from the first vector (a) to the second vector (b) through the smaller angle, your thumb points in the direction of a × b. Reversing the order (b × a) will naturally reverse the direction of your thumb.
If a = 2i and b = 3j:
Incorrect assumption: a × b = 6k and therefore b × a = 6k.
a × b = (2i) × (3j) = 6 (i × j) = 6k
b × a = (3j) × (2i) = 6 (j × i) = 6 (-k) = -6k
As evident, a × b = 6k, while b × a = -6k. Thus, a × b = - (b × a), confirming the anti-commutative property.
When two vectors, say A and B, are nearly parallel or anti-parallel (i.e., the angle θ between them is very small), students correctly approximate the magnitude of their cross product as |A × B| ≈ |A||B|θ. However, a common error is to either:
A × B, orA × B to the zero vector when θ is small but non-zero, especially in problems involving small perturbations (e.g., (A + δA) × B).This often leads to neglecting small but significant contributions to the final vector result, which can be crucial in JEE Advanced problems.
|A × B| = |A||B|sin θ, and for small θ, sin θ ≈ θ. This leads to a strong emphasis on the magnitude approximation, sometimes overshadowing the directional aspect.sin θ ≈ θ) with the full vector cross product. The cross product is a vector, and its direction (perpendicular to both vectors) is critical, even when its magnitude is small.(A + δA) × B, students might mistakenly approximate this as A × B if they consider δA 'small,' without fully evaluating A × B + δA × B and keeping the significant terms. The term δA × B might be the dominant non-zero term if A and B are already parallel.A × B is a vector, always perpendicular to both A and B (by the right-hand rule).|A × B| ≈ |A||B|θ.(A + δA) × B where δA is a small vector:(A + δA) × B = A × B + δA × B.A × B might be small, but δA × B could be the leading non-zero term, defining the primary direction of the resultant.Suppose A = <1, 0, 0> and B = <1, 0.01, 0>. The angle θ between them is very small. A student might incorrectly approximate A × B as <0, 0, 0> because the vectors are 'almost parallel'.
Using the vectors from the wrong example: A = <1, 0, 0> and B = <1, 0.01, 0>.
Correct calculation:A × B = (1i) × (1i + 0.01j)= (1i × 1i) + (1i × 0.01j)= 0 + 0.01 (i × j) = 0.01k
The result 0.01k is a vector with a small magnitude but a definite direction (along the positive Z-axis), which is crucial. Approximating θ ≈ 0.01 radians, |A × B| ≈ |A||B|θ ≈ (1)(1)(0.01) = 0.01, which matches the magnitude. The direction is clearly k.
A + δA), always apply the distributive property of the cross product first, then evaluate each term for smallness.Misapplication of the Right-Hand Rule: Incorrectly curling fingers from the first vector to the second, or misinterpreting the direction of the thumb.
Assuming Commutativity: Forgetting that the cross product is anti-commutative (i.e., A × B ≠ B × A, but rather A × B = -(B × A)).
Errors in Determinant Expansion: When using the determinant method
| i | j | k |
|---|---|---|
| Ax | Ay | Az |
| Bx | By | Bz |
Confusion with Unit Vector Cyclic Order: Not remembering the cyclic properties like i × j = k, j × k = i, k × i = j and their reversed sign counterparts.
Always apply the Right-Hand Thumb Rule rigorously: point your fingers along the first vector (A), curl them towards the second vector (B) through the smaller angle. Your thumb will point in the direction of A × B.
Remember the anti-commutative property: A × B = -(B × A).
When using the determinant method, be meticulous with the +i(...) -j(...) +k(...) signs and the individual determinant calculations.
Memorize the cyclic permutations for unit vectors: i × j = k, j × k = i, k × i = j. Reversing any order flips the sign (e.g., j × i = -k).
Consider A = i (along +x-axis) and B = j (along +y-axis). A common mistake is to incorrectly apply the right-hand rule or determinant, leading to A × B = -k, implying the resultant vector is along the negative z-axis.
For A = i and B = j:
Using Right-Hand Rule: Point fingers along +x, curl towards +y. Your thumb points along +z. So, A × B = k.
Using Determinant:
| i | j | k |
|---|---|---|
| 1 | 0 | 0 |
| 0 | 1 | 0 |
Practice the Right-Hand Rule: Regularly visualize and practice applying the right-hand rule in 3D space with different vector orientations.
Visualize 3D: Develop strong 3D visualization skills. Imagine the vectors and their perpendicular plane for the resultant.
Check for Anti-Commutativity: Always double-check if you've mistakenly assumed A × B = B × A. If you swap the order, remember to add a negative sign.
Meticulous Determinant Expansion: Pay close attention to the signs (+ - +) in the determinant expansion and each (ad - bc) term.
| i | j | k |
|---|---|---|
| a1 | a2 | a3 |
| b1 | b2 | b3 |
| i | j | k |
|---|---|---|
| 1 | 2 | 3 |
| 2 | 1 | -1 |
&vec;A × &vec;B is the same as &vec;B × &vec;A. This is a fundamental error, as the cross product is anti-commutative, meaning &vec;A × &vec;B = -(&vec;B × &vec;A). The direction of the resultant vector is critical and depends on the order of the vectors. &vec;A ċ &vec;B = &vec;B ċ &vec;A).&vec;A × &vec;B. Reversing the order of vectors will reverse the direction of the resultant cross product. If &vec;A = &hat;i and &vec;B = &hat;j, a common mistake is to assume:
&vec;A × &vec;B = &hat;k
&vec;B × &vec;A = &hat;k(Incorrectly treating cross product as commutative)
This ignores the crucial directional change.
Given &vec;A = &hat;i (along x-axis) and &vec;B = &hat;j (along y-axis):
&vec;A × &vec;B = &hat;i × &hat;j = &hat;k (Using Right-Hand Rule: curling fingers from x to y, thumb points along positive z-axis)However, for &vec;B × &vec;A:
&vec;B × &vec;A = &hat;j × &hat;i = -&hat;k (Using Right-Hand Rule: curling fingers from y to x, thumb points along negative z-axis)Hence, it is clear that &vec;A × &vec;B = -(&vec;B × &vec;A).
&hat;i × &hat;j = &hat;k, &hat;j × &hat;k = &hat;i, &hat;k × &hat;i = &hat;j. Reversing this order (e.g., &hat;j × &hat;i) introduces a negative sign.To find $vec{a} imes vec{b} = hat{i} imes hat{j}$:
Therefore, $vec{i} imes vec{j} = hat{k}$.
To find $vec{b} imes vec{a} = hat{j} imes hat{i}$:
Therefore, $vec{j} imes hat{i} = -hat{k}$. This clearly demonstrates that $vec{a} imes vec{b} = -(vec{b} imes vec{a})$.
| i | j | k | |
|---|---|---|---|
| &vec;b | 3 | 0 | 1 |
| &vec;a | 1 | 2 | 0 |
When asked to find the direction of iฬ x jฬ, a student might incorrectly assume it points along the negative z-axis, perhaps based on a quick sketch where positive x and y are drawn on a plane, and 'down' feels like the natural perpendicular direction without using RHR.
Student's thought: "X-axis cross Y-axis... it should be perpendicular, maybe down?" → -kฬ (Incorrect)To find the direction of iฬ x jฬ:
1. Point your right-hand fingers along the positive x-axis (direction of iฬ).
2. Curl your fingers towards the positive y-axis (direction of jฬ).
3. Your right thumb will unequivocally point along the positive z-axis.
Therefore, iฬ x jฬ = kฬ (Correct).
This method ensures accuracy and is crucial for JEE and CBSE board exams.
A critical error students often make when dealing with the vector (cross) product is either ignoring units completely or incorrectly converting/multiplying units for the magnitude of the resultant vector. This leads to numerically correct but dimensionally wrong answers, or even numerically incorrect answers if unit systems are mixed.
For instance, when calculating torque (;👊 = r x F), students might forget to multiply the units of displacement (m) and force (N) to get Newton-meters (Nm), or they might incorrectly convert cm to m for one vector while keeping the other in m, leading to a mismatched final unit.
Always ensure all input vectors are expressed in a consistent system of units (e.g., all SI units or all CGS units) before performing the cross product calculation. The unit of the magnitude of the resultant vector will be the product of the units of the magnitudes of the two input vectors.
For CBSE and JEE, it is highly recommended to convert all values to the SI system (meters, kilograms, seconds, Newtons, etc.) at the beginning of the problem to avoid errors.
Problem: Calculate the torque (;👊) if a force F = (2i + 3j) N acts at a position r = (4i - 1j) cm from the origin.
Wrong Approach:
r = 4i - 1j cm
F = 2i + 3j N
;👊 = r x F = (4i - 1j) x (2i + 3j) = (4*3 - (-1)*2) k = (12 + 2) k = 14 k N
Explanation of Mistake: The position vector r was in cm, while force F was in N. The result '14 N' is dimensionally incorrect; it should be in Ncm or Nm. By just writing 'N', the unit conversion and multiplication have been ignored.
Problem: Calculate the torque (;👊) if a force F = (2i + 3j) N acts at a position r = (4i - 1j) cm from the origin.
Correct Approach:
1. Convert r to SI units (meters):
r = (4i - 1j) cm = (0.04i - 0.01j) m
2. Force F is already in SI units:
F = (2i + 3j) N
3. Calculate the cross product:
;👊 = r x F = (0.04i - 0.01j) x (2i + 3j)
;👊 = (0.04 * 3 - (-0.01) * 2) k
;👊 = (0.12 + 0.02) k
;👊 = 0.14 k Nm
Explanation: Both vectors were converted to a consistent SI system. The unit of the magnitude of torque is the product of the units of position (m) and force (N), resulting in Newton-meters (Nm).
a ร b = (i + j) ร k
= i ร k + j ร k
= -j + i
= i - j
Meanwhile, the student might incorrectly believe:
b ร a = k ร (i + j)
= k ร i + k ร j
= j + (-i)
= j - i
And then erroneously assume that i - j is equivalent to j - i for the purpose of the problem, leading to incorrect subsequent steps.To find a vector perpendicular to both, calculate a ร b:
a ร b = (i + j) ร k
= i ร k + j ร k
= -j + i
= i - j
Now, if you were to calculate b ร a:
b ร a = k ร (i + j)
= k ร i + k ร j
= j + (-i)
= -i + j
Observe that a ร b = i - j and b ร a = -i + j.
Clearly, (i - j) = -(-i + j), demonstrating that
a ร b = -(b ร a).
This distinction is critical and must be maintained throughout calculations.Given vectors a and b, a common mistake is to assume:
If a ร b = (3i - 2j + k), then b ร a is also (3i - 2j + k).
This is incorrect as it violates the anti-commutative property of the cross product.
Given vectors a and b:
If a ร b = (3i - 2j + k),
then b ร a = - (a ร b)
= - (3i - 2j + k)
= (-3i + 2j - k).
This illustrates how reversing the order changes the direction of the resultant vector, leading to a crucial sign change in the components.
A x B = ... - j((2)(1) - (1)(2)) + ... (Here, the terms for 'j' component are swapped within the 2x2 determinant, should be (2)(2)-(1)(1) for the minor) or A x B = ... + j((2)(2) - (1)(1)) + ... (Here, the sign for the 'j' component is incorrectly positive).| i | j | k | |
|---|---|---|---|
| A | 2 | 3 | 1 |
| B | 1 | -1 | 2 |
A ร B is identical to B ร A. This fundamental misunderstanding leads to incorrect signs in the resultant vector, impacting subsequent calculations. ab = ba) and the dot product (A โ
B = B โ
A). Students mistakenly extend this property to the cross product, overlooking its directional dependency. The right-hand rule for direction, which explicitly depends on the order of vectors, is either forgotten or misapplied. A ร B = -(B ร A). While the magnitude remains the same, the direction is exactly opposite. (2i) ร (3j) = 6k and then assume that (3j) ร (2i) also equals 6k.A = 2i and B = 3j:A ร B = (2i) ร (3j) = 6(i ร j) = 6k (Using the right-hand rule or cyclic property i ร j = k)B ร A = (3j) ร (2i) = 6(j ร i) = 6(-k) = -6k (Since j ร i = -k)A ร B โ B ร A, but rather A ร B = -(B ร A).A ร B = -(B ร A). This is a core property.i ร j = k, j ร k = i, k ร i = j. Reversing any pair introduces a negative sign (e.g., j ร i = -k).a x b as identical to b x a). This leads to critical errors in problems involving geometry, torque, or angular momentum where direction is paramount. a x b โ b x a).a x b = -(b x a). The direction is reversed if the order is swapped.Given vectors a = i + j and b = -i + j, a student might incorrectly calculate b x a instead of the required a x b, or misapply the right-hand rule. For instance:
b x a = (-i + j) x (i + j)
= (-i x i) + (-i x j) + (j x i) + (j x j)
= 0 - k - k + 0
= -2k <-- Incorrect if a x b was requiredFor the same vectors a = i + j and b = -i + j, the correct calculation for a x b is:
a x b = (i + j) x (-i + j)
= (i x -i) + (i x j) + (j x -i) + (j x j)
= 0 + k - (-k) + 0
= k + k
= 2k <-- Correct result for a x bThis illustrates a x b = -(b x a).
r x F) or angular momentum (r x p).a x b = -(b x a) as a fundamental property.| i | j | k |
|---|---|---|
| aโ | aโ | aโ |
| bโ | bโ | bโ |
A x B = (2i m) x (3j cm)
= 6 (i x j) mยทcm
= 6k mยทcm
A x B = (2i m) x (0.03j m)
= (2 x 0.03) (i x j) m2
= 0.06k m2
(A x B) x C = A x (B x C), which is fundamentally false for vector products. A x (B x C) = (A . C) B - (A . B) C(A x B) x C = (A . C) B - (B . C) A (Note the difference in the last term)A = i, B = i, C = j.(A x B) x C by replacing A x B with 0, leading to 0 x C = 0. Then, they might try to equate this to A x (B x C) = A x (i x j) = A x k = i x k = -j. This would lead to the false conclusion that 0 = -j, or worse, they might simply use the incorrect associative simplification without comparison.A = i, B = i, C = j:(A x B) x C:A x B = i x i = 0 (since parallel vectors).(A x B) x C = 0 x j = 0.A x (B x C):B x C = i x j = k.A x (B x C) = i x k = -j.0 โ -j, this clearly demonstrates that (A x B) x C โ A x (B x C). The order of operations and the specific expansion formulas are critical.A x (B x C) = (A . C) B - (A . B) C to memory and practice their application.To avoid this critical error, always ensure all input vectors are expressed in the same system of units before performing any vector operation, especially the cross product.
→C = →A x →B).→A is in Newtons (N) and →B is in meters (m), the resultant →A x →B (representing Torque) will correctly have units of N⋅m.
Given: Force →F = 2Îi N
Position vector →r = 30Îj cm
Calculate Torque (→τ = →r x →F)
Wrong Approach:
→τ = (30Îj cm) x (2Îi N)
→τ = (30 × 2) (Îj x Îi) N⋅cm
→τ = 60 (–Îk) N⋅cm = -60Îk N⋅cm (Incorrect magnitude and inconsistent unit for standard SI calculations)
Given: Force →F = 2Îi N
Position vector →r = 30Îj cm
Calculate Torque (→τ = →r x →F)
Correct Approach:
First, convert position vector to SI units:
→r = 30Îj cm = 0.3Îj m
Now, perform the cross product:
→τ = (0.3Îj m) x (2Îi N)
→τ = (0.3 × 2) (Îj x Îi) N⋅m
→τ = 0.6 (–Îk) N⋅m = -0.6Îk N⋅m (Correct magnitude and consistent SI unit)
No summary available yet.
No educational resource available yet.