
CBSE Class 12 Maths Board Exam 2026 is scheduled to be conducted on 9 March 2026, making it important for students to begin focused revision of all key formulas. As the exam date approaches, a strong command over important formulas from chapters like relations and functions, matrices, determinants, continuity and differentiability, integration, vectors, 3D geometry, and probability becomes essential for scoring well. This formula collection is designed to help students quickly revise and confidently prepare for the board exam.
Preparing for the CBSE Class 12 Maths Board Exam requires a strong grasp of essential formulas. It covers foundational topics like relations and functions, inverse trigonometric functions, matrices, and determinants, extending to calculus with differentiation and integration. Vector algebra, three-dimensional geometry, and probability are also included to ensure thorough revision for all key areas.
If a negative sign is present inside cos⁻¹x, sec⁻¹x, or cot⁻¹x, it results in π - cos⁻¹x, π - sec⁻¹x, and π - cot⁻¹x, respectively. For the other three inverse trigonometric functions (sin⁻¹x, tan⁻¹x, cosec⁻¹x), the negative sign comes out directly (e.g., -sin⁻¹x). (Memory Tip: For 'cos⁻¹x, sec⁻¹x, cot⁻¹x', a negative argument leads to 'π minus' the function. For 'sin⁻¹x, tan⁻¹x, cosec⁻¹x', the negative argument leads to a 'minus sign outside').
If an inverse trigonometric function is applied to its corresponding trigonometric function (e.g., sin(sin⁻¹x)), the argument x comes out, provided x is within the function's domain.
sin⁻¹x: Domain [-1, 1], Range [-π/2, π/2]
cos⁻¹x: Domain [-1, 1], Range [0, π]
tan⁻¹x: Domain (-∞, ∞), Range (-π/2, π/2)
cot⁻¹x: Domain (-∞, ∞), Range (0, π)
cosec⁻¹x: Domain (-∞, -1] ∪ [1, ∞), Range [-π/2, π/2] (except 0)
sec⁻¹x: Domain (-∞, -1] ∪ [1, ∞), Range [0, π] (except π/2)
Negative Arguments:
sin⁻¹(-x) = -sin⁻¹x
cosec⁻¹(-x) = -cosec⁻¹x
tan⁻¹(-x) = -tan⁻¹x
cos⁻¹(-x) = π - cos⁻¹x
sec⁻¹(-x) = π - sec⁻¹x
cot⁻¹(-x) = π - cot⁻¹x
Reciprocal Relations:
sin⁻¹(1/x) = cosec⁻¹x
cos⁻¹(1/x) = sec⁻¹x
tan⁻¹(1/x) = cot⁻¹x
Complementary Relations:
sin⁻¹x + cos⁻¹x = π/2 (for x ∈ [-1, 1])
tan⁻¹x + cot⁻¹x = π/2 (for x ∈ (-∞, ∞))
cosec⁻¹x + sec⁻¹x = π/2 (for x ∈ (-∞, -1] ∪ [1, ∞))
Identity with Same Trig Function (Principal Intervals):
sin⁻¹(sinx) = x (if x ∈ [-π/2, π/2])
cos⁻¹(cosx) = x (if x ∈ [0, π])
tan⁻¹(tanx) = x (if x ∈ (-π/2, π/2])
Addition/Subtraction Formulas:
tan⁻¹x + tan⁻¹y = tan⁻¹((x+y)/(1-xy)) if xy < 1
tan⁻¹x - tan⁻¹y = tan⁻¹((x-y)/(1+xy))
Double Angle Formulas (2tan⁻¹x):
2tan⁻¹x = sin⁻¹(2x/(1+x²))
2tan⁻¹x = cos⁻¹((1-x²)/(1+x²))
2tan⁻¹x = tan⁻¹(2x/(1-x²))
Reflexive Relation: For every element a in the set, (a, a) must belong to the relation.
Symmetric Relation: If (a, b) belongs to the relation, then (b, a) must also belong.
Transitive Relation: If (a, b) and (b, c) belong to the relation, then (a, c) must also belong.
Equivalence Relation: A relation is an Equivalence Relation if it is reflexive, symmetric, and transitive.
One-to-one (Injective) Function: If f(x₁) = f(x₂) implies x₁ = x₂.
Onto (Surjective) Function: If the range of the function is equal to its codomain.
Order of a Matrix: m x n (m rows, n columns).
Number of Elements: m * n.
Addition/Subtraction: Orders must be the same; corresponding elements are added/subtracted.
Multiplication (AB): If A is m x n and B is p x q, multiplication is possible only if n = p. Resultant matrix is m x q.
Transpose of a Matrix (Aᵀ): Rows and columns are interchanged.
Symmetric Matrix: A matrix A is symmetric if Aᵀ = A (aᵢⱼ = aⱼᵢ).
Skew-Symmetric Matrix: A matrix A is skew-symmetric if Aᵀ = -A (aᵢⱼ = -aⱼᵢ).
All diagonal elements are always zero.
The determinant of an odd order skew-symmetric matrix is zero.
For vertices (x₁, y₁), (x₂, y₂), (x₃, y₃), the area of the triangle is Area = (1/2) |det(X)| where X is the matrix [[x₁, y₁, 1], [x₂, y₂, 1], [x₃, y₃, 1]]. (Memory Tip: Area is always positive, so use modulus).
Collinearity Condition: If three points are collinear, the area of the triangle formed by them is zero.
Adjoint of a Matrix (adj(A)): The transpose of the cofactor matrix. (Cofactor Cᵢⱼ = (-1)ⁱ⁺ʲ * Mᵢⱼ, where Mᵢⱼ is the minor).
Inverse of a Matrix (A⁻¹): A⁻¹ = (1 / det(A)) * adj(A).
An inverse exists only if det(A) ≠ 0 (invertible matrix).
If det(A) = 0, the inverse does not exist.
A function f(x) is continuous at x = a if lim (x→a⁻) f(x) = lim (x→a⁺) f(x) = f(a) (Left Hand Limit = Right Hand Limit = Value of the function).
A function f(x) is differentiable at x = a if the limit lim (h→0) [f(a+h) - f(a)] / h exists.
d/dx (xⁿ) = nxⁿ⁻¹
d/dx (c) = 0
d/dx (sinx) = cosx
d/dx (cosx) = -sinx
d/dx (tanx) = sec²x
d/dx (secx) = secx tanx
d/dx (cotx) = -cosec²x
d/dx (cosecx) = -cosecx cotx
d/dx (eˣ) = eˣ
d/dx (aˣ) = aˣ logₑa
d/dx (log|x|) = 1/x
d/dx (sin⁻¹x) = 1/√(1-x²)
d/dx (cos⁻¹x) = -1/√(1-x²)
d/dx (tan⁻¹x) = 1/(1+x²)
d/dx (cot⁻¹x) = -1/(1+x²)
d/dx (sec⁻¹x) = 1/(|x|√(x²-1))
d/dx (cosec⁻¹x) = -1/(|x|√(x²-1))
Chain Rule: If y = f(g(x)), then dy/dx = f'(g(x)) * g'(x).
Product Rule: If y = u(x)v(x), then dy/dx = u'(x)v(x) + u(x)v'(x).
Quotient Rule: If y = u(x)/v(x), then dy/dx = [u'(x)v(x) - u(x)v'(x)] / [v(x)]².
dy/dx represents the rate of change of y with respect to x.
If f'(x) > 0, the function is strictly increasing.
If f'(x) ≥ 0, the function is increasing.
If f'(x) < 0, the function is strictly decreasing.
If f'(x) ≤ 0, the function is decreasing.
First Derivative Test: Critical points α occur where f'(x) = 0 or is undefined.
f'(x) changes from positive to negative at α means α is a local maxima.
f'(x) changes from negative to positive at α means α is a local minima.
Second Derivative Test: For critical point α where f'(α) = 0:
If f''(α) > 0, α is a local minima.
If f''(α) < 0, α is a local maxima.
If f''(α) = 0, the test fails.
Absolute Maxima and Minima in [a, b]:
Find critical points in (a, b).
Evaluate f(x) at critical points and endpoints a, b.
The largest value is absolute maximum, smallest is absolute minimum.
∫xⁿ dx = xⁿ⁺¹ / (n+1) + C (for n ≠ -1)
∫1 dx = x + C
∫cosx dx = sinx + C
∫sinx dx = -cosx + C
∫sec²x dx = tanx + C
∫cosec²x dx = -cotx + C
∫secx tanx dx = secx + C
∫cosecx cotx dx = -cosecx + C
∫eˣ dx = eˣ + C
∫(1/x) dx = log|x| + C
∫aˣ dx = aˣ / logₑa + C
∫(1/√(1-x²)) dx = sin⁻¹x + C
∫(1/(1+x²)) dx = tan⁻¹x + C
∫(1/(x√(x²-1))) dx = sec⁻¹x + C
∫tanx dx = log|secx| + C or -log|cosx| + C
∫cotx dx = log|sinx| + C or -log|cosecx| + C
∫secx dx = log|secx + tanx| + C
∫cosecx dx = log|cosecx - cotx| + C
∫(1/(x² - a²)) dx = (1/(2a)) log|(x-a)/(x+a)| + C
∫(1/(a² - x²)) dx = (1/(2a)) log|(a+x)/(a-x)| + C
∫(1/(x² + a²)) dx = (1/a) tan⁻¹(x/a) + C
∫(1/√(a² - x²)) dx = sin⁻¹(x/a) + C
∫(1/√(x² + a²)) dx = log|x + √(x² + a²)| + C
∫(1/√(x² - a²)) dx = log|x + √(x² - a²)| + C
∫u v dx = u ∫v dx - ∫[ (du/dx) ∫v dx ] dx. The choice of u and v follows the ILATE rule (Inverse, Logarithmic, Algebraic, Trigonometric, Exponential).
Applicable when the degree of the numerator is less than the denominator.
Non-repeated Linear Factors: (x-a)(x-b) => A/(x-a) + B/(x-b)
Repeated Linear Factors: (x-a)²(x-b) => A/(x-a) + B/(x-a)² + C/(x-b)
Irreducible Quadratic Factor: (x²+a)(x-b) => (Ax+B)/(x²+a) + C/(x-b)
∫√(x² + a²) dx = (x/2)√(x² + a²) + (a²/2) log|x + √(x² + a²)| + C
∫√(x² - a²) dx = (x/2)√(x² - a²) - (a²/2) log|x + √(x² - a²)| + C
∫√(a² - x²) dx = (x/2)√(a² - x²) + (a²/2) sin⁻¹(x/a) + C
P0 (Change of Variable): ∫ₐᵇ f(x) dx = ∫ₐᵇ f(t) dt
P1 (Interchange of Limits): ∫ₐᵇ f(x) dx = -∫ᵇₐ f(x) dx
P2 (Breaking the Interval): ∫ₐᵇ f(x) dx = ∫ₐᶜ f(x) dx + ∫ᶜₐ f(x) dx (where a < c < b).
P3 (f(a+b-x) Property): ∫ₐᵇ f(x) dx = ∫ₐᵇ f(a+b-x) dx
Special Case (P4: f(a-x) Property): ∫₀ᵃ f(x) dx = ∫₀ᵃ f(a-x) dx
P5 (0 to 2a Property): ∫₀²ᵃ f(x) dx = ∫₀ᵃ f(x) dx + ∫₀ᵃ f(2a-x) dx
If f(2a-x) = f(x), then ∫₀²ᵃ f(x) dx = 2 ∫₀ᵃ f(x) dx
If f(2a-x) = -f(x), then ∫₀²ᵃ f(x) dx = 0
P6 (-a to a Property: Even/Odd Functions): ∫₋ᵃᵃ f(x) dx
If f(x) is even (f(-x) = f(x)), then ∫₋ᵃᵃ f(x) dx = 2 ∫₀ᵃ f(x) dx.
If f(x) is odd (f(-x) = -f(x)), then ∫₋ᵃᵃ f(x) dx = 0.
With respect to x-axis: Area = ∫ₐᵇ |f(x)| dx.
(Memory Tip: Area is always positive, so use modulus).
With respect to y-axis: Area = ∫ₐᵇ |g(y)| dy.
With respect to x-axis: Area = ∫ₐᵇ |f_upper(x) - f_lower(x)| dx.
With respect to y-axis: Area = ∫ₐᵇ |g_right(y) - g_left(y)| dy.
Order: The highest order derivative present.
Degree: The power of the highest order derivative (if in polynomial form).
Variable Separable Method: Separate x terms with dx and y terms with dy, then integrate.
Homogeneous Differential Equation: Substitute y = vx for dy/dx or x = vy for dx/dy.
Linear Differential Equation (dy/dx + Py = Q or dx/dy + Px = Q):
Integrating Factor (IF) = e^(∫P dx) (for dy/dx form) or e^(∫P dy) (for dx/dy form).
Solution for dy/dx + Py = Q: y * IF = ∫(Q * IF) dx + C.
Position Vector (P(x, y, z)): r = xî + yĵ + zk̂.
Magnitude: |r| = √(x² + y² + z²).
Unit Vector: â = a / |a|.
α, β, γ are direction angles. cosα, cosβ, cosγ are direction cosines (l, m, n).
l² + m² + n² = 1.
For r = xî + yĵ + zk̂, direction cosines are x/|r|, y/|r|, z/|r|.
a ⋅ b = |a||b|cosθ.
cosθ = (a ⋅ b) / (|a||b|).
Perpendicularity Condition: If a ⋅ b = 0.
a × b = |a||b|sinθ n̂.
|a × b| = |a||b|sinθ.
Parallelism Condition: If a × b = 0 (implies a₁/b₁ = a₂/b₂ = a₃/b₃).
Calculated as the determinant of a 3x3 matrix.
Projection of vector a on vector b: (a ⋅ b̂) = (a ⋅ b) / |b|.
Area of a Triangle: (1/2) |a × b| (where a, b are adjacent sides).
Area of a Parallelogram:
Adjacent sides a, b: |a × b|.
Diagonals d₁, d₂: (1/2) |d₁ × d₂|.
Direction Cosines (l, m, n): l² + m² + n² = 1.
Direction Ratios (a, b, c): Numbers proportional to direction cosines.
l = ±a/√(a²+b²+c²), etc.
For direction ratios (a₁, b₁, c₁) and (a₂, b₂, c₂):
cosθ = |a₁a₂ + b₁b₂ + c₁c₂| / [√(a₁²+b₁²+c₁²) * √(a₂²+b₂²+c₂²)]
Perpendicular Lines: If a₁a₂ + b₁b₂ + c₁c₂ = 0.
Parallel Lines: If a₁/a₂ = b₁/b₂ = c₁/c₂.
Through (x₁, y₁, z₁) parallel to (a, b, c):
Vector Form: r = a + λq.
Cartesian Form: (x - x₁) / a = (y - y₁) / b = (z - z₁) / c.
Through (x₁, y₁, z₁) and (x₂, y₂, z₂):
Vector Form: r = a + λ(b - a).
Cartesian Form: (x - x₁) / (x₂ - x₁) = (y - y₁) / (y₂ - y₁) = (z - z₁) / (z₂ - z₁).
Skew Lines (r = a₁ + λb₁, r = a₂ + μb₂):
Shortest Distance = |(a₂ - a₁) ⋅ (b₁ × b₂)| / |b₁ × b₂|.
Parallel Lines (r = a₁ + λb, r = a₂ + μb):
Shortest Distance = |(a₂ - a₁) × b| / |b|.
Conditional Probability: P(A|B) = P(A ∩ B) / P(B) (if P(B) ≠ 0).
Independent Events: P(A ∩ B) = P(A) * P(B).
Multiplication Theorem: P(A ∩ B) = P(A) * P(B|A).
Addition Theorem (Union): P(A ∪ B) = P(A) + P(B) - P(A ∩ B).
If E₁, E₂, ..., Eₙ are mutually exclusive and exhaustive events, and A is any event:
P(A) = P(E₁)P(A|E₁) + P(E₂)P(A|E₂) + … + P(Eₙ)P(A|Eₙ).
(Memory Tip: This finds the total probability of an outcome by considering all possible paths leading to it).
If E₁, E₂, ..., Eₙ are mutually exclusive and exhaustive events, and A is any event:
P(Eᵢ|A) = [P(Eᵢ)P(A|Eᵢ)] / P(A), where P(A) is from the Total Probability Theorem.
(Memory Tip: This is used when the outcome is known, to find the probability of a specific cause).