BSEH Class 12 Maths flashcards
BSEH Class 12 Maths · Build recall with a focused review session.
33 cards. Read the term and the definition here. The deck at the top of this page is optional.
- Equivalence relation
- A relation on a set that is reflexive, symmetric and transitive simultaneously. It partitions the set into disjoint equivalence classes, and every element belongs to exactly one such class.
- Bijective function
- A function that is both one-one and onto, so each element of the codomain has exactly one preimage. Only bijections possess an inverse function defined on the whole codomain.
- Inverse of composition
- For bijections f and g whose composition is defined, the inverse of g∘f is f⁻¹∘g⁻¹. The order reverses, mirroring the rule (AB)⁻¹ = B⁻¹A⁻¹ for matrices.
- Principal value of sin⁻¹
- The value of sin⁻¹x lying in [−π/2, π/2]. For example sin⁻¹(1/2) = π/6, not 5π/6, because the principal branch restricts the output range.
- Complementary inverse identity
- For x in the common domain, sin⁻¹x + cos⁻¹x = π/2, tan⁻¹x + cot⁻¹x = π/2 and sec⁻¹x + cosec⁻¹x = π/2. These follow from cofunction relationships of the trigonometric ratios.
- tan⁻¹ sum formula
- tan⁻¹x + tan⁻¹y = tan⁻¹((x+y)/(1−xy)) when xy < 1. If xy > 1 with x, y positive, add π to the right side to stay in the principal range.
- Skew-symmetric matrix
- A square matrix satisfying Aᵀ = −A. All diagonal entries must be zero, and every square matrix can be written as the sum of a symmetric and a skew-symmetric matrix.
- Matrix product non-commutativity
- Generally AB ≠ BA even when both products are defined and square. Consequently (A+B)² = A² + AB + BA + B², not A² + 2AB + B², unless A and B commute.
- Transpose of a product
- For conformable matrices A and B, (AB)ᵀ = BᵀAᵀ. The order of multiplication reverses, exactly as it does for inverses of products.
- Determinant under row swap
- Interchanging any two rows or two columns of a square matrix multiplies its determinant by −1. A matrix with two identical rows therefore has determinant zero.
- Adjoint and inverse
- For a square matrix A with |A| ≠ 0, A(adj A) = |A|I, so A⁻¹ = (adj A)/|A|. The adjoint is the transpose of the cofactor matrix.
- Triangle area by determinant
- The area of a triangle with vertices (x₁,y₁), (x₂,y₂), (x₃,y₃) is half the absolute value of x₁(y₂−y₃) + x₂(y₃−y₁) + x₃(y₁−y₂). A zero value means the points are collinear.
- Differentiability implies continuity
- If f is differentiable at a point then it is continuous there. The converse fails: f(x) = |x| is continuous at 0 but has no derivative at 0.
- Rolle's theorem
- If f is continuous on [a,b], differentiable on (a,b), and f(a) = f(b), then f′(c) = 0 for some c in (a,b). A horizontal tangent exists somewhere between equal endpoint values.
- Derivative of tan⁻¹x
- d/dx(tan⁻¹x) = 1/(1+x²) for all real x. The related derivative of cot⁻¹x is −1/(1+x²), differing only in sign because the two functions are complementary.
- Second derivative test
- At a stationary point c where f′(c) = 0: if f″(c) < 0, c is a local maximum; if f″(c) > 0, a local minimum; if f″(c) = 0, the test is inconclusive.
- Absolute extrema on closed interval
- To find absolute maximum and minimum of a continuous f on [a,b], evaluate f at all critical points inside (a,b) and at both endpoints, then compare those values.
- Normal line slope
- At a point where the tangent slope is m = f′(x₁) and m ≠ 0, the normal slope is −1/m. If m = 0 the tangent is horizontal and the normal is vertical.
- Integration by parts
- ∫u v′ dx = uv − ∫u′v dx. Choose u following ILATE order: inverse trigonometric, logarithmic, algebraic, trigonometric, exponential. Useful when the integrand is a product of unlike functions.
- Integral of 1/(x²+a²)
- ∫dx/(x² + a²) = (1/a)tan⁻¹(x/a) + C. The a² in the denominator produces the 1/a factor, obtained by substituting x = a tan θ.
- Symmetry property of definite integrals
- ∫₀ᵃ f(x) dx = ∫₀ᵃ f(a − x) dx. Applying this often turns an awkward integrand into a standard one, especially for trigonometric fractions over [0, π/2].
- Area between two curves
- If f(x) ≥ g(x) on [a,b], the enclosed area is ∫ₐᵇ [f(x) − g(x)] dx. The limits a and b are usually the x-coordinates of the intersection points.
- Area of an ellipse
- The region x²/a² + y²/b² ≤ 1 has area πab. For a circle of radius a, where b = a, this reduces to the familiar πa².
- Order and degree
- Order is the highest derivative appearing in a differential equation. Degree is the exponent of that highest derivative after the equation is cleared of radicals and fractions in derivatives.
- Integrating factor for linear ODE
- For dy/dx + Py = Q, the integrating factor is e^(∫P dx). Multiplying through makes the left side the derivative of y times the integrating factor.
- Homogeneous differential equation substitution
- For dy/dx = F(x,y) with F homogeneous of degree zero, substitute y = vx. Then dy/dx = v + x dv/dx, producing a separable equation in v and x.
- Cross product magnitude
- |a⃗ × b⃗| = |a⃗||b⃗| sin θ, the area of the parallelogram with sides a⃗ and b⃗. Half of this value is the area of the triangle formed by the two vectors.
- Scalar triple product
- a⃗·(b⃗ × c⃗) gives the signed volume of the parallelepiped with edges a⃗, b⃗, c⃗. It equals zero exactly when the three vectors are coplanar.
- Distance from point to plane
- For plane ax + by + cz + d = 0 and point (x₁,y₁,z₁), the perpendicular distance is |ax₁ + by₁ + cz₁ + d| / √(a² + b² + c²). The numerator uses the plane equation evaluated at the point.
- Shortest distance between skew lines
- For lines r⃗ = a⃗₁ + λb⃗₁ and r⃗ = a⃗₂ + μb⃗₂, the distance is |(a⃗₂ − a⃗₁)·(b⃗₁ × b⃗₂)| / |b⃗₁ × b⃗₂|. A zero value means the lines intersect or are parallel.
- Corner point theorem
- For a linear programming problem with a nonempty bounded feasible region, the optimal value of the objective function occurs at a vertex of the region, or along an entire edge.
- Bayes' theorem
- P(Bᵢ|A) = P(Bᵢ)P(A|Bᵢ) divided by Σⱼ P(Bⱼ)P(A|Bⱼ), where the Bⱼ partition the sample space. It reverses a conditional probability using prior probabilities.
- Binomial mean and variance
- For X ~ B(n, p) with q = 1 − p, the mean is np, the variance is npq, and the standard deviation is √(npq). The probabilities are P(X = r) = ⁿCᵣ pʳ qⁿ⁻ʳ.