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Maharashtra State Board · Class 12 · All chapters

Mathematics — Complete Formula Sheet

Board Formulas
206 formulas · 15 chapters

Part I Ch 1 · Mathematical Logic

  1. 1.Negation

    : A statement (truth value T or F) · : Negation of p, read 'not p'

    Negation reverses the truth value. In words, add 'not' or 'It is false that…' to the statement.

  2. 2.Conjunction (and)

    : Component statements

    Words such as 'and', 'but', 'yet', 'still' all give a conjunction. One false component makes the whole statement false.

  3. 3.Disjunction (or)

    Mathematical 'or' is inclusive: p ∨ q is true when at least one of p, q is true, including when both are.

  4. 4.Conditional (if … then)★

    p is the antecedent, q the consequent. Also read as 'p only if q', 'q if p', 'p is sufficient for q', 'q is necessary for p'.

  5. 5.Biconditional (if and only if)

    Read 'p if and only if q' or 'p is necessary and sufficient for q'.

  6. 6.Number of Rows in a Truth Table

    : Number of simple statements in the pattern

    Two statements need 4 rows, three statements need 8 rows. Use the order TT, TF, FT, FF for two statements.

  7. 7.Tautology and Contradiction★

    Tautology: last column all T. Contradiction: last column all F. Contingency: a mixture of T and F.

  8. 8.Conditional as a Disjunction

    The most useful equivalence of the chapter. Use it to remove → before applying De Morgan's laws or finding a dual.

  9. 9.Converse, Inverse and Contrapositive

    All three are formed from the conditional p → q. Write each one in words when the statement is given in words.

  10. 10.Contrapositive Equivalence★

    A conditional and its contrapositive always have the same truth table. So do the converse and the inverse.

  11. 11.Biconditional as Two Conditionals

    Use this to prove a biconditional or to find its negation.

  12. 12.Duality

    Replace ∧ by ∨, ∨ by ∧, t by c and c by t (in duality the textbook writes t for a tautology and c for a contradiction). Negation signs and the statements stay as they are. Remove → and ↔ first.

  13. 13.De Morgan's Laws★

    Negate each component AND switch the connective. 'Not (A and B)' means 'not A or not B'.

  14. 14.Negation of a Conditional★

    The negation of 'If p then q' is 'p and not q' — it is NOT another if-then sentence.

  15. 15.Negation of a Biconditional

    Follows from p ↔ q ≡ (p → q) ∧ (q → p), then De Morgan and the negation of each conditional.

  16. 16.Negation of Quantified Statements★

    : Universal quantifier: 'for all', 'for every' · : Existential quantifier: 'there exists', 'for some' · : Open sentence in the variable x

    'For every' becomes 'there exists' and vice versa; the open sentence p(x) is negated. The set (N, Z, R…) does not change.

  17. 17.Distributive Laws

    Each connective distributes over the other. Read right to left, they let you take a common statement outside a bracket.

  18. 18.Identity and Involution Laws

    T is any tautology and F any contradiction. These laws finish most simplifications after a distributive step.

Part I Ch 2 · Matrices and Determinants

  1. 1.Matrix Multiplication★

    Row × column dot product. Defined only when columns of A = rows of B.

  2. 2.Non-commutativity

    Matrix multiplication is NOT commutative except in special cases.

  3. 3.Transpose

    Reversal rule for transpose of product.

  4. 4.Determinant of 3×3★

    Cofactor expansion along first row. Use any row/column with zeros for simplicity.

  5. 5.Properties of Determinants★

    Row swap changes sign; adding multiple of one row to another leaves |A| unchanged.

  6. 6.Adjoint (adjugate)★

    Transpose of the cofactor matrix. Basis of inverse formula.

  7. 7.A · adj(A) = |A|·I★

    Fundamental identity linking adjoint and determinant. Use to verify computed adjoint.

  8. 8.Inverse of a Matrix★

    A is invertible iff |A| ≠ 0. Then AA⁻¹ = A⁻¹A = I.

  9. 9.Solving Linear System — Matrix Method★

    Rewrite the system as AX = B, invert A, multiply by B.

  10. 10.Cramer's Rule★

    Alternative to A⁻¹B method. Compact for 2×2 and 3×3 systems.

  11. 11.Consistency Criterion

    State all three cases in theory questions on consistency.

  12. 12.Elementary Row Operations

    Preserve solution set. Used in row reduction / Gauss elimination.

Part I Ch 3 · Trigonometric Functions

  1. 1.Principal Solutions

    Solutions of a trigonometric equation lying in [0, 2π) are its principal solutions. For sin θ = 1/2 they are π/6 and 5π/6.

  2. 2.Equations with Zero Right Side

    : Any integer (n ∈ Z)

    Here n ∈ Z. Factorise the equation first and set each factor equal to zero.

  3. 3.General Solution of sin θ = sin α★

    : A known angle with the same sine (radians)

    Choose α in [−π/2, π/2]. For n even the term is +α, for n odd it is −α.

  4. 4.General Solution of cos θ = cos α★

    Choose α in [0, π]. Do not mix this up with the sine result.

  5. 5.General Solution of tan θ = tan α

    Choose α in (−π/2, π/2). The period of tan is π, so no ± and no (−1)ⁿ.

  6. 6.Squared Forms

    All three squared equations have the same general solution. Useful when the equation contains sin²θ = 1/4 or tan²θ = 3.

  7. 7.Polar Co-ordinates

    : Radius vector: distance OP of the point from the pole (origin), r > 0 — the pole itself has no polar co-ordinates · : Vectorial angle from the polar axis (positive x-axis), 0 ≤ θ < 2π

    Use the signs of x and y to decide the quadrant of θ — tan θ alone does not fix it.

  8. 8.Sine Rule★

    : Sides opposite angles A, B, C · : Circumradius of the triangle

    Writing a = k sin A, b = k sin B, c = k sin C (k = 2R) converts any side expression into angles.

  9. 9.Cosine Rule★

    Similarly cos B = (c² + a² − b²)/(2ca) and cos C = (a² + b² − c²)/(2ab). A negative cosine means an obtuse angle.

  10. 10.Projection Rule

    Each side equals the sum of the projections of the other two sides on it.

  11. 11.Half-Angle Formulas★

    : Semi-perimeter, s = (a + b + c)/2

    Positive square roots are taken because A/2 is acute. Write the formulas for B/2 and C/2 by cycling a → b → c.

  12. 12.Area of a Triangle

    : Area of triangle ABC (square units)

    Use ½bc sin A when two sides and the included angle are known, Heron's form when all three sides are known.

  13. 13.Napier's Analogy

    Cyclic forms: tan((C − A)/2) = ((c − a)/(c + a)) cot(B/2) and tan((A − B)/2) = ((a − b)/(a + b)) cot(C/2).

  14. 14.Principal Value Branches

    Also cot⁻¹x ∈ (0, π), sec⁻¹x ∈ [0, π] − {π/2}, cosec⁻¹x ∈ [−π/2, π/2] − {0}. Domain of sin⁻¹ and cos⁻¹ is [−1, 1].

  15. 15.Inverse of Negative Arguments

    cos⁻¹ and cot⁻¹ follow the 'π minus' rule because their range is not symmetric about 0: cot⁻¹(−x) = π − cot⁻¹x.

  16. 16.Complementary Sums

    Valid for |x| ≤ 1 (first), all real x (second) and |x| ≥ 1 (third).

  17. 17.Sum and Difference of tan⁻¹★

    Check the condition before using it. If x, y > 0 and xy > 1, the sum is π + tan⁻¹((x + y)/(1 − xy)).

  18. 18.Composition with Inverse Functions

    Outside the principal range, sin⁻¹(sin θ) is NOT θ: sin⁻¹(sin 5π/6) = π/6.

Part I Ch 4 · Pair of Straight Lines

  1. 1.Combined Equation of Two Lines

    Multiply the two equations written in the form u = 0, v = 0. A point lies on the pair if it lies on at least one of the lines.

  2. 2.Pair of Lines through Origin from Slopes

    : Slopes of the two lines

    Lines y = m₁x and y = m₂x. Expanding the product gives a homogeneous equation of degree two.

  3. 3.Homogeneous Equation of Degree Two

    : Coefficients of x² and y² · : Half the coefficient of xy

    Every term has degree two, so (0, 0) always satisfies it. If h² − ab < 0, only the origin satisfies the equation — there are no real lines.

  4. 4.Auxiliary Equation in m

    Its two roots are the slopes m₁ and m₂ of the lines (when b ≠ 0). If b = 0, one line is x = 0.

  5. 5.Sum and Product of Slopes★

    Sum = −(coefficient of xy)/(coefficient of y²); product = (coefficient of x²)/(coefficient of y²).

  6. 6.Nature of the Lines

    Coincident means the equation is a perfect square, e.g. x² − 6xy + 9y² = (x − 3y)².

  7. 7.Acute Angle between the Lines★

    : Acute angle between the two lines

    θ is the acute angle. If a + b = 0 the formula breaks down because θ = 90°.

  8. 8.Condition for Perpendicular Lines

    Coefficient of x² + coefficient of y² = 0, e.g. 3x² + 8xy − 3y² = 0. The value of h does not matter.

  9. 9.Condition for Coincident Lines

    For ax² + 2hxy + by² = 0: then tan θ = 0, so the two lines coincide. For the general second-degree equation, h² = ab means the two lines are parallel.

  10. 10.Pair through Origin Perpendicular to a Given Pair★

    Swap the coefficients of x² and y² and change the sign of the xy term. Check: the new slopes are −1/m₁ and −1/m₂.

  11. 11.General Equation of Second Degree

    : Half the coefficients of x and y · : Constant term

    Read the coefficients in this form: half of the xy, x and y coefficients give h, g and f.

  12. 12.Necessary Conditions for a Pair of Lines★

    The textbook calls these necessary conditions: use them to find an unknown such as k. To show that an equation does represent a pair of lines, factorise it into two linear factors. The determinant is linear in c, so 'find k' questions with k as the constant are quick.

  13. 13.Point of Intersection of the Lines

    Solving the two linear equations is usually easier than remembering the formula. Requires ab − h² ≠ 0 (lines not parallel).

  14. 14.Lines through Origin Parallel to the Pair

    The second-degree part alone gives two lines through the origin parallel to the given pair, so the angle formula tan θ = |2√(h² − ab)/(a + b)| also applies to the general equation.

Part I Ch 5 · Vectors and Three-Dimensional Geometry

  1. 1.Vector Addition and Scalar Multiplication

    Component-wise addition. Scalar multiplication kâ = ka₁î + ka₂ĵ + ka₃k̂.

  2. 2.Magnitude and Unit Vector★

    Magnitude is nonnegative. Unit vector has magnitude 1.

  3. 3.Dot Product★

    Scalar quantity. â·b̂ = cos θ; perpendicular ⟺ a·b = 0.

  4. 4.Cross Product★

    Vector perpendicular to both a and b. |a × b| = |a||b|sin θ. Right-hand rule.

  5. 5.Area of Parallelogram / Triangle

    Simple geometric use of cross product.

  6. 6.Scalar Triple Product★

    Volume of parallelepiped. Cyclic permutation preserves value; swap changes sign.

  7. 7.Coplanarity Condition★

    Three vectors are coplanar iff their scalar triple product vanishes.

  8. 8.Vector Line Equation★

    a = position vector of a point on line; b = direction vector; λ ∈ R.

  9. 9.Cartesian Line Equation

    (l, m, n) direction ratios; (x₀, y₀, z₀) a point on line.

  10. 10.Plane in Vector Form★

    n̂ = unit normal, d = perpendicular distance from origin. Cartesian: lx + my + nz = d.

  11. 11.Angle between Two Lines / Planes

    For planes use normals; for line and plane use sin θ = |n·b|/(|n||b|).

  12. 12.Shortest Distance between Skew Lines★

    Only for skew lines (non-parallel, non-intersecting). Coplanar ⇒ numerator = 0.

Part I Ch 6 · Line and Plane

  1. 1.Line through a Point, Parallel to a Vector

    : Position vector of a known point A on the line · : Direction vector of the line · : Scalar parameter (λ ∈ R)

    Each value of the scalar λ gives one point on the line. Any non-zero multiple of b is also a direction vector.

  2. 2.Cartesian Form of a Line

    : A point on the line · : Direction ratios of the line

    Symmetric form of the same line. Setting each ratio equal to λ gives the general point (x₁ + aλ, y₁ + bλ, z₁ + cλ).

  3. 3.Line through Two Points

    The direction vector is the vector joining the two points, b − a.

  4. 4.Angle between Two Lines

    Perpendicular: a₁a₂ + b₁b₂ + c₁c₂ = 0. Parallel: a₁/a₂ = b₁/b₂ = c₁/c₂. Only the direction vectors matter.

  5. 5.Distance of a Point from a Line★

    : Position vector of the given point P · : Unit vector along the line

    The second form is Pythagoras: AP² minus the square of the projection of AP on the line.

  6. 6.Shortest Distance between Skew Lines★

    For lines r = a₁ + λb₁ and r = a₂ + μb₂ that are neither parallel nor intersecting. The numerator is a scalar triple product.

  7. 7.Distance between Parallel Lines

    For r = a₁ + λb and r = a₂ + μb. This is the distance of the point A₂ from the first line.

  8. 8.Condition for Two Lines to Intersect (Coplanarity)★

    Two non-parallel lines intersect exactly when they are coplanar, i.e. when the shortest distance is zero.

  9. 9.Plane in Normal Form

    : Unit vector normal to the plane · : Distance of the plane from the origin

    p ≥ 0 is the perpendicular distance of the plane from the origin and (l, m, n) are the direction cosines of the normal. To reduce ax + by + cz = d (d > 0), divide by √(a² + b² + c²).

  10. 10.Plane through a Point, Perpendicular to a Vector

    Equivalently r · n = a · n. Here (a, b, c) are direction ratios of the normal and (x₁, y₁, z₁) is the given point.

  11. 11.Plane through Three Non-collinear Points★

    Vector form: (r − a) · [(b − a) × (c − a)] = 0. The cross product (b − a) × (c − a) is a normal to the plane.

  12. 12.Plane through the Intersection of Two Planes

    Cartesian: (a₁x + b₁y + c₁z − d₁) + λ(a₂x + b₂y + c₂z − d₂) = 0. One more condition (a point, or parallel/perpendicular to something) fixes λ.

  13. 13.Angle between Two Planes

    The angle between planes is the angle between their normals. Perpendicular planes: n₁ · n₂ = 0; parallel planes: n₁ = kn₂.

  14. 14.Angle between a Line and a Plane

    : Direction vector of the line · : Normal vector of the plane

    θ is the complement of the angle between the line and the normal, so sin replaces cos.

  15. 15.Line Parallel or Perpendicular to a Plane

    A line parallel to the plane is perpendicular to its normal; a line perpendicular to the plane is along its normal.

  16. 16.Distance of a Point from a Plane★

    : The given point, with position vector α · : Constant term of the plane ax + by + cz + d₀ = 0

    First form for the plane r · n = p; second for ax + by + cz + d₀ = 0. Move every term to the left side before substituting.

Part I Ch 7 · Linear Programming

  1. 1.Linear Inequation as a Half-plane

    The line ax + by = c divides the plane into two half-planes; the solution set of the inequation is one of them, including the line.

  2. 2.Plotting the Boundary Line by Intercepts

    Valid when a, b, c are all non-zero. If c = 0 the line passes through the origin — use another point such as (1, −a/b).

  3. 3.Origin Test

    If the inequality is true at (0, 0), shade the side containing the origin; otherwise shade the other side. If the line passes through the origin, test a point like (1, 0).

  4. 4.Translating Word Conditions

    Availability of a resource (hours, money, storage) gives '≤'. A minimum requirement (nutrients, demand) gives '≥'.

  5. 5.Mathematical Form of an LPP★

    : Decision variables (quantities to be decided) · : Objective function (profit, cost, …) · : Profit or cost per unit of x and y

    Three parts: decision variables x, y; the linear objective function Z; and the linear constraints, including non-negativity.

  6. 6.Non-negativity Constraints

    Quantities produced or bought cannot be negative, so the feasible region always lies in the first quadrant.

  7. 7.Feasible Region

    The common region of all the half-planes. It is a convex set — bounded (a polygon) or unbounded. Each point of R is a feasible solution.

  8. 8.Corner Point from Two Boundary Lines

    Cramer's rule for the intersection of two lines. Elimination is equally good — just do not estimate from the graph.

  9. 9.Corner Point Theorem★

    For a bounded feasible region both the maximum and the minimum exist. Evaluate Z at every corner point and compare.

  10. 10.Multiple Optimal Solutions★

    Happens when the objective line is parallel to a boundary edge PQ of the region. Infinitely many optimal solutions.

  11. 11.Unbounded Feasible Region

    Otherwise Z has no maximum. For a minimum, take m = smallest corner value and check that c₁x + c₂y < m has no point in R.

  12. 12.Infeasible Problem

    If the constraints contradict each other (e.g. x + y ≤ 2 and x + y ≥ 5), there is no region to shade and no optimal solution.

Part II Ch 1 · Differentiation

  1. 1.Definition (first principle)

    Ab initio definition; used when derivative rules do not apply directly.

  2. 2.Sum, Product, Quotient Rules★

    Fundamental algebra of derivatives. Do not confuse product and quotient rules.

  3. 3.Chain Rule★

    Differentiate outer function, keep inner unchanged, multiply by inner derivative.

  4. 4.Derivatives of Standard Functions★

    Baseline table; memorise all six trigonometric derivatives and their inverses.

  5. 5.Inverse Trigonometric Derivatives

    Note the domains: |x| < 1 for sin⁻¹; all real x for tan⁻¹.

  6. 6.Logarithmic Differentiation★

    Take log both sides, then differentiate implicitly. Essential for x^x-type problems.

  7. 7.Implicit Differentiation★

    Alternative: differentiate both sides w.r.t. x treating y as function of x; then solve for dy/dx.

  8. 8.Parametric Differentiation★

    Cancel dt; use chain rule. For d²y/dx² differentiate w.r.t. x again and use dt/dx.

  9. 9.Second-order Parametric Derivative

    Do NOT just do (d²y/dt²)/(d²x/dt²) — that gives a wrong answer.

  10. 10.Higher-Order Derivatives

    Apply the derivative n times. Used in Taylor series, mean-value theorem.

  11. 11.Logarithm of a Product

    Useful in log-differentiation to simplify products/quotients before differentiating.

Part II Ch 2 · Applications of Derivatives

  1. 1.Rate of Change★

    Applies to related-rates: chain rule links two changing quantities.

  2. 2.Approximation (Differential)★

    First-order Taylor expansion. dy = f'(x) dx is the differential of y.

  3. 3.Slope of Tangent and Normal

    Normal is perpendicular to tangent. Slope product = −1.

  4. 4.Equation of Tangent Line

    Point-slope form. Verify the point (x₀, y₀) lies on the curve first.

  5. 5.Increasing / Decreasing on Interval★

    Establish sign of f'(x) on the interval. Zero at endpoints doesn't spoil monotonicity.

  6. 6.First Derivative Test (extrema)★

    Sign change + to − ⇒ local maximum. Sign change − to + ⇒ local minimum.

  7. 7.Second Derivative Test★

    Inconclusive if f''(x₀) = 0; use higher-order test or first-derivative test.

  8. 8.Global Maximum on Closed Interval

    c_i are critical points inside [a,b]. Compare all these values.

  9. 9.Rolle's Theorem★

    State all three conditions explicitly for full marks.

  10. 10.Lagrange's Mean Value Theorem

    Generalisation of Rolle's; no requirement f(a) = f(b).

  11. 11.Percentage Error

    Useful for volume of a sphere, area of a circle, cube — small measurement errors.

  12. 12.Angle of Intersection of Curves

    m₁, m₂ are slopes of the two curves at the point of intersection.

Part II Ch 3 · Integration

  1. 1.Fundamental Theorem of Calculus★

    Links definite integration to antiderivatives. F is any antiderivative of f.

  2. 2.Standard Integrals★

    Basic table; add +C in indefinite form.

  3. 3.Trigonometric Integrals

    Memorise all six. Sign errors are the most common HSC mistake.

  4. 4.Exponential and Log Integrals

    Note the ln a in denominator for general base a.

  5. 5.Integration by Substitution★

    Change variable so that du = g'(x) dx and integrand becomes tractable.

  6. 6.Integration by Parts (ILATE)★

    ILATE order: Inverse trig, Logarithmic, Algebraic, Trigonometric, Exponential. Choose u higher up in the list.

  7. 7.Partial Fractions★

    Compute A, B by cover-up rule or comparing coefficients. For repeated roots include (x−a)² term as well.

  8. 8.Definite Integral Property (1)★

    Powerful trick for symmetric integrands. Also (0,a): ∫f(x) = ∫f(a−x).

  9. 9.Definite Integral Property (2 — even/odd)

    Recognise sin, cos, x symmetries. Saves half the work.

  10. 10.Reduction Formulae

    Repeated integration by parts. Similar formula for cosⁿ x.

  11. 11.Definite Integral as Limit of a Sum★

    Riemann sum definition. Use Σr = n(n+1)/2, Σr² = n(n+1)(2n+1)/6.

  12. 12.Common Trigonometric Substitutions

    Choose based on the surd. Simplifies to a·cos, a·sec, a·tan respectively.

Part II Ch 4 · Definite Integration

  1. 1.Definite Integral as Limit of a Sum★

    : Lower and upper limits of integration · : Number of equal sub-intervals · : Width of each sub-interval, (b − a)/n

    Divide [a, b] into n equal strips of width h, add the strip areas h·f(a + rh), then let n → ∞. Simplify the sum with the standard Σ results before taking the limit.

  2. 2.Standard Sums for Limit-of-Sum Questions

    For an exponential integrand the sum is a G.P.: use a(rⁿ − 1)/(r − 1) and the limit (eʰ − 1)/h → 1 as h → 0.

  3. 3.Fundamental Theorem of Integral Calculus★

    : Any antiderivative (indefinite integral) of f(x)

    Find any antiderivative F, substitute the upper limit, then subtract the value at the lower limit. No constant of integration is needed — it cancels.

  4. 4.Property: Change of Variable Name

    The variable of integration is a dummy variable. This is what lets you rename t back to x at the end of every property proof.

  5. 5.Property: Interchanging the Limits

    Swapping the limits changes the sign. Used in almost every proof after a substitution reverses the limits.

  6. 6.Property: Splitting the Interval

    Use it for modulus functions, greatest-integer functions and piecewise definitions — split at the point where the formula of f changes.

  7. 7.Property: a + b − x★

    Works for any limits a to b. Typical use: an integrand like √x/(√x + √(a + b − x)), where the two integrands add up to 1, so 2I = b − a.

  8. 8.Property: a − x (lower limit zero)★

    The special case of the a + b − x property with lower limit 0. With a = π/2 it swaps sin x and cos x.

  9. 9.Property: Splitting 0 to 2a

    Split at a, then substitute x = 2a − t in the second piece. Leads directly to the next property.

  10. 10.Property: 0 to 2a with f(2a − x) = ± f(x)

    Example: sin(π − x) = sin x, so ∫₀^π sin x dx = 2∫₀^{π/2} sin x dx = 2. And cos(π − x) = −cos x, so ∫₀^π cos x dx = 0.

  11. 11.Property: Even and Odd Functions★

    Test f(−x) for the whole integrand. x², cos x, |x| are even; x³, sin x, tan x are odd; odd × even is odd, odd × odd is even.

  12. 12.Substitution in a Definite Integral

    Change the limits to u = g(a) and u = g(b) as soon as you substitute; then you never need to return to x.

  13. 13.Integration by Parts for Definite Integrals

    Choose u by the ILATE order, as in indefinite integration. Apply the limits to the first term as well as to the remaining integral.

  14. 14.Standard Result: sinⁿ x over sinⁿ x + cosⁿ x

    Holds for any power n (including n = 1/2, i.e. √sin x). The same idea works with tan x and cot x.

  15. 15.Standard Result: ∫ log sin x from 0 to π/2

    Here log means natural logarithm (base e), as in the textbook. Learn the proof — it uses three different properties.

Part II Ch 5 · Application of Definite Integration

  1. 1.Area Bounded by a Curve and the x-axis★

    : Area of the region (sq. units) · : Equation of the curve · : x-coordinates of the bounding vertical lines

    Region between y = f(x), the x-axis and the lines x = a, x = b. Uses vertical strips of height y and width dx.

  2. 2.Area Bounded by a Curve and the y-axis

    : Equation of the curve solved for x · : y-coordinates of the bounding horizontal lines

    Region between x = g(y), the y-axis and the lines y = c, y = d. Uses horizontal strips; the limits are y-values.

  3. 3.Region Below the x-axis

    The integral comes out negative when the curve lies below the axis; the area is its absolute value.

  4. 4.Curve Crossing the x-axis

    Here f ≥ 0 on [a, c] and f ≤ 0 on [c, b]. Find every root c between a and b and split there; otherwise positive and negative parts cancel.

  5. 5.Area Between Two Curves (vertical strips)★

    : Upper curve · : Lower curve

    Always upper curve minus lower curve. The limits a and b are usually the x-coordinates of the points of intersection.

  6. 6.Area Between Two Curves (horizontal strips)

    : Right-hand curve, x = φ(y) · : Left-hand curve, x = ψ(y)

    Right curve minus left curve, with y-limits. Useful when the curves are naturally given as x in terms of y.

  7. 7.Limits from Points of Intersection

    Solve the two equations simultaneously. Check which curve is on top by substituting one x-value between a and b.

  8. 8.Quarter-Circle Integral

    Comes from ∫√(a² − x²) dx = (x/2)√(a² − x²) + (a²/2) sin⁻¹(x/a) + c. Needed for every circle and ellipse question.

  9. 9.Area of a Circle★

    The circle is symmetric about both axes, so take 4 × the first-quadrant area, where y = √(a² − x²).

  10. 10.Area of an Ellipse★

    : Semi-axes along the x- and y-axes (semi-major and semi-minor when a > b)

    In the first quadrant y = (b/a)√(a² − x²). For a = b it reduces to the circle πa².

  11. 11.Parabola Cut Off by its Latus Rectum

    The parabola is symmetric about the x-axis, so double the area above it, where y = 2√(ax).

  12. 12.Parabola and a Line Through the Vertex

    The curves meet at (0, 0) and (4a/m², 4a/m). The parabola is the upper curve between them. Use it to check your answer, but show the integration in the exam.

  13. 13.Area Between y² = 4ax and x² = 4ay

    The parabolas meet at (0, 0) and (4a, 4a). y² = 4ax is the upper curve between them. More generally, y² = 4ax and x² = 4by enclose 16ab/3.

Part II Ch 6 · Differential Equations

  1. 1.Order and Degree

    Order = order of the highest derivative present. Degree = power of that highest-order derivative, once the equation is a polynomial in the derivatives.

  2. 2.Degree After Clearing Radicals

    Remove fractional powers first (here, square both sides): order 2, degree 2. If a derivative sits inside sin, log, e^( ) etc., the degree is not defined.

  3. 3.Formation of a Differential Equation

    Differentiate the given relation as many times as there are arbitrary constants, then eliminate the constants between the equations.

  4. 4.General and Particular Solution

    A general solution has as many arbitrary constants as the order. A particular solution is obtained by fixing the constants from given conditions.

  5. 5.Variables Separable★

    Collect all y-terms with dy and all x-terms with dx, then integrate both sides. Only one constant is needed.

  6. 6.Reducible to Variables Separable

    Example: dy/dx = (x + y)². Put x + y = v, so dv/dx = 1 + v², which separates.

  7. 7.Homogeneous Function

    f is homogeneous of degree n. dy/dx = f(x, y)/g(x, y) is a homogeneous equation when f and g are homogeneous of the same degree.

  8. 8.Homogeneous Equation: Substitution★

    After substituting, x cancels from the right-hand side and the equation separates in v and x. Replace v by y/x at the end.

  9. 9.Linear Differential Equation

    : Coefficient of y, a function of x · : Right-hand side, a function of x

    P and Q are functions of x only (or constants). y and dy/dx appear only to the first power and are not multiplied together.

  10. 10.Integrating Factor

    Find P only after the coefficient of dy/dx is 1. Simplify with e^(log f(x)) = f(x).

  11. 11.Solution of a Linear Equation★

    The integrating factor appears on BOTH sides. Integrate the right-hand side carefully — it often needs integration by parts.

  12. 12.Linear Equation in x

    Use it when the equation is linear in x rather than y; here P and Q are functions of y.

  13. 13.Law of Natural Growth and Decay★

    : Amount present at time t · : Initial amount (at t = 0) · : Constant of proportionality (per unit time)

    k > 0 for growth (population, bacteria), k < 0 for decay (radioactive substance). x₀ is the amount at t = 0.

  14. 14.Half-Life

    For decay written as dx/dt = −kx with k > 0. The half-life does not depend on the initial amount. log is the natural logarithm.

  15. 15.Newton's Law of Cooling★

    : Temperature of the body at time t (°C) · : Temperature of the surroundings (°C), constant · : Positive constant (per unit time)

    The rate of cooling is proportional to the excess of the body's temperature over its surroundings. C is the initial excess temperature, θ(0) − θ₀.

Part II Ch 7 · Probability Distributions

  1. 1.Classical Definition

    Ratio of favourable outcomes to total outcomes (equally likely sample space).

  2. 2.Addition Theorem★

    Subtract intersection to avoid double counting. For mutually exclusive events, P(A ∩ B) = 0.

  3. 3.Conditional Probability★

    Probability of A given B has occurred. Restricts sample space to B.

  4. 4.Multiplication Theorem

    For independent events P(A ∩ B) = P(A)·P(B).

  5. 5.Total Probability Theorem★

    A_i are a partition of the sample space (mutually exclusive and exhaustive).

  6. 6.Bayes Theorem★

    Reverse conditional probability using prior P(A_i) and likelihood P(B|A_i).

  7. 7.Probability Distribution of Random Variable★

    Tabulate all values x_i and their probabilities p_i. Sum of column = 1.

  8. 8.Expectation (mean)★

    Weighted average of outcomes weighted by their probabilities.

  9. 9.Variance and Standard Deviation

    Expected squared deviation from the mean. Var(X) = E(X²) − [E(X)]².

  10. 10.Binomial Distribution (PMF)★

    n independent Bernoulli trials with success probability p. Random variable X = number of successes.

  11. 11.Binomial Mean and Variance

    Mean and variance of binomial. Standard deviation = √(npq).

  12. 12.Independence

    Independence means one event does not affect the other's probability.

Part II Ch 8 · Binomial Distribution

  1. 1.Bernoulli Trial

    : Probability of success in one trial · : Probability of failure in one trial, 1 − p

    A trial with exactly two outcomes. For a sequence of Bernoulli trials, the trials are independent and p stays the same from trial to trial.

  2. 2.Bernoulli Distribution (one trial)

    X counts successes in a single trial. It is the binomial distribution with n = 1.

  3. 3.Binomial Distribution Notation

    X is the number of successes in n Bernoulli trials. The two parameters n and p fix the whole distribution.

  4. 4.Binomial Probability Formula★

    : Number of trials · : Number of successes (0 to n) · : Probabilities of success and failure in one trial

    ⁿCₓ counts the arrangements of x successes among n trials; pˣqⁿ⁻ˣ is the probability of any one such arrangement.

  5. 5.Probabilities as Terms of a Binomial Expansion

    The probabilities P(X = 0), P(X = 1), …, P(X = n) are the successive terms of (q + p)ⁿ, which is why they add up to 1.

  6. 6.No Successes and All Successes

    The two end terms of the expansion. ⁿC₀ = ⁿCₙ = 1.

  7. 7.At Least One Success★

    Use the complement. This also answers 'how many trials are needed' questions: solve 1 − qⁿ > k for the least whole number n.

  8. 8.Cumulative Probabilities

    Choose whichever side has fewer terms. P(X > r) = 1 − P(X ≤ r), not 1 − P(X ≤ r − 1).

  9. 9.Fair Coin Case

    For tosses of a fair coin (or any p = 1/2 situation) every probability has denominator 2ⁿ.

  10. 10.Mean of a Binomial Distribution★

    The expected number of successes. Units are the same as X (number of successes).

  11. 11.Variance of a Binomial Distribution★

    Equivalently np(1 − p). It is largest, for a fixed n, when p = q = 1/2.

  12. 12.Standard Deviation

    Square root of the variance. Do not confuse σ with σ².

  13. 13.Variance is Less Than the Mean

    Holds whenever 0 < p < 1. If a question gives a variance larger than the mean, no binomial distribution fits.

  14. 14.Finding n and p from Mean and Variance

    Divide the variance by the mean to get q. n must come out as a positive whole number — if it does not, recheck the arithmetic.

★ = frequently asked in board examsFree at boardformulas.in/maharashtra/12/maths/formula-sheet