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Complete Formula Reference

All JEE Main Maths Formulas

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194 formulas · 20 chapters
01

Complex Numbers & Quadratic Equations

12 formulas
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Modulus of a Complex Number

#1
z=a+bi=a2+b2|z| = |a + bi| = \sqrt{a^2 + b^2}

💡 Always non-negative. |z| = 0 iff z = 0.

Forgetting to square both parts before adding.

Argument of z

#2
arg(z)=tan1(ba)\arg(z) = \tan^{-1}\left(\frac{b}{a}\right)

💡 Check the quadrant! tan⁻¹ alone gives values in (-π/2, π/2).

Not adjusting for quadrant. arg(−1+i) ≠ arg(1+i).

Polar Form

#3
z=r(cosθ+isinθ)=reiθz = r(\cos\theta + i\sin\theta) = re^{i\theta}

💡 r = |z|, θ = arg(z). Euler's form is faster for multiplication.

Conjugate Properties

#4
z1z2=z1ˉz2ˉ,zzˉ=z2\overline{z_1 \cdot z_2} = \bar{z_1} \cdot \bar{z_2}, \quad z \cdot \bar{z} = |z|^2

💡 z·z̄ = |z|² is used everywhere - division, modulus proofs, locus.

Writing z·z̄ = z² instead of |z|².

Modulus of Product & Quotient

#5
z1z2=z1z2,z1z2=z1z2|z_1 z_2| = |z_1||z_2|, \quad \left|\frac{z_1}{z_2}\right| = \frac{|z_1|}{|z_2|}

💡 Arguments add for product, subtract for quotient.

De Moivre's Theorem

#6
(cosθ+isinθ)n=cos(nθ)+isin(nθ)(\cos\theta + i\sin\theta)^n = \cos(n\theta) + i\sin(n\theta)

💡 Works for all integers n. Key for finding nth roots.

Applying to (a + bi)ⁿ directly - must convert to polar form first.

nth Roots of Unity

#7
zk=ei2πk/n=cos2πkn+isin2πkn,k=0,1,,n1z_k = e^{i \cdot 2\pi k/n} = \cos\frac{2\pi k}{n} + i\sin\frac{2\pi k}{n}, \quad k = 0, 1, \ldots, n-1

💡 They form a regular n-gon on the unit circle. Sum = 0, Product = (-1)^{n+1}.

Cube Roots of Unity

#8
1+ω+ω2=0,ω3=1,ω=ei2π/31 + \omega + \omega^2 = 0, \quad \omega^3 = 1, \quad \omega = e^{i2\pi/3}

💡 ω = (-1+i√3)/2. Used heavily in factoring and symmetric expressions.

Triangle Inequality

#9
z1z2z1+z2z1+z2\big||z_1| - |z_2|\big| \leq |z_1 + z_2| \leq |z_1| + |z_2|

💡 Equality in upper bound when arg(z₁) = arg(z₂). Lower bound when arg differ by π.

Circle in Complex Plane

#10
zz0=r(circle center z0, radius r)|z - z_0| = r \quad \text{(circle center } z_0 \text{, radius } r\text{)}

💡 |z − a| = |z − b| is the perpendicular bisector of segment ab.

Confusing |z−a| = k|z−b| (Apollonius circle) with simple circle.

Straight Line in Complex Plane

#11
arg(zz0)=α(ray from z0 at angle α)\arg(z - z_0) = \alpha \quad \text{(ray from } z_0 \text{ at angle } \alpha\text{)}

💡 arg((z-a)/(z-b)) = θ gives an arc of a circle through a and b.

Quadratic with Complex Roots

#12
If α=p+qi is a root, then αˉ=pqi is also a root (for real coefficients)\text{If } \alpha = p + qi \text{ is a root, then } \bar{\alpha} = p - qi \text{ is also a root (for real coefficients)}

💡 Complex roots always come in conjugate pairs for real polynomials.

Assuming conjugate pair rule holds for polynomials with complex coefficients.
02

Sequence & Series

10 formulas
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nth Term of AP

#1
an=a+(n1)da_n = a + (n-1)d

💡 a = first term, d = common difference. Works for any integer n.

Using nd instead of (n-1)d.

Sum of n Terms of AP

#2
Sn=n2[2a+(n1)d]=n2(a+l)S_n = \frac{n}{2}[2a + (n-1)d] = \frac{n}{2}(a + l)

💡 l = last term. Second form is faster when you know the last term.

Confusing S_n with a_n. S_n is cumulative, a_n is a single term.

nth Term of GP

#3
an=arn1a_n = ar^{n-1}

💡 a = first term, r = common ratio. Valid for all positive integers n.

Sum of n Terms of GP

#4
Sn=arn1r1,r1S_n = a\cdot\frac{r^n - 1}{r - 1}, \quad r \neq 1

💡 Use (1-r^n)/(1-r) when |r|<1 to avoid sign confusion.

Using this formula when r=1. If r=1, S_n = na.

Sum of Infinite GP

#5
S=a1r,r<1S_\infty = \frac{a}{1-r}, \quad |r| < 1

💡 Only converges when |r|<1. This is the most tested GP formula in JEE.

Sum of First n Natural Numbers

#6
k=1nk=n(n+1)2\sum_{k=1}^{n} k = \frac{n(n+1)}{2}

💡 Building block for all summation formulas.

Sum of Squares

#7
k=1nk2=n(n+1)(2n+1)6\sum_{k=1}^{n} k^2 = \frac{n(n+1)(2n+1)}{6}

💡 Frequently appears in method-of-differences and series summation.

Sum of Cubes

#8
k=1nk3=[n(n+1)2]2\sum_{k=1}^{n} k^3 = \left[\frac{n(n+1)}{2}\right]^2

💡 Sum of cubes = (sum of first n numbers) squared. Elegant identity.

Sum of AGP

#9
Sn=a1r+dr(1rn1)(1r)2(a+(n1)d)rn1rS_n = \frac{a}{1-r} + \frac{dr(1-r^{n-1})}{(1-r)^2} - \frac{(a+(n-1)d)r^n}{1-r}

💡 Multiply S by r, subtract from S to reduce the AP part. Works every time.

Not recognizing an AGP. Look for products of linear and geometric terms.

Method of Differences

#10
Tn=SnSn1,then find Tn pattern and sumT_n = S_n - S_{n-1}, \quad \text{then find } T_n \text{ pattern and sum}

💡 If first differences form an AP or GP, use this to find the general term.

03

Permutations & Combinations

8 formulas
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Permutations (nPr)

#1
nPr=n!(nr)!^nP_r = \frac{n!}{(n-r)!}

💡 Order matters. Number of ways to arrange r items from n distinct items.

Using nCr when order matters.

Combinations (nCr)

#2
nCr=n!r!(nr)!^nC_r = \frac{n!}{r!(n-r)!}

💡 Order does not matter. Selection of r items from n distinct items.

Forgetting to divide by r! when order doesn't matter.

Permutations with Repetition

#3
n!p1!p2!pk!\frac{n!}{p_1! \cdot p_2! \cdot \ldots \cdot p_k!}

💡 n total items with p_1 identical of type 1, p_2 of type 2, etc.

Circular Permutations

#4
(n1)!(n-1)!

💡 Fix one object and arrange the rest. For necklace/bracelet, divide by 2.

Using n! instead of (n-1)! for circular arrangements.

Stars and Bars

#5
Identical objects into distinct boxes: n+r1Cr1\text{Identical objects into distinct boxes: } ^{n+r-1}C_{r-1}

💡 n identical items into r distinct groups (each group can be empty).

Forgetting to adjust when minimum constraint applies (subtract first, then apply).

Pascal's Identity

#6
nCr=n1Cr+n1Cr1^nC_r = ^{n-1}C_r + ^{n-1}C_{r-1}

💡 Basis of Pascal's triangle. Useful for recursive counting arguments.

Derangements

#7
Dn=n!k=0n(1)kk!D_n = n! \sum_{k=0}^{n} \frac{(-1)^k}{k!}

💡 Number of permutations where no element is in its original position.

Numbers Divisible by k

#8
Check digit-sum (for 3,9) or last digits (for 2,4,5,8)\text{Check digit-sum (for 3,9) or last digits (for 2,4,5,8)}

💡 Divisibility by 3/9: digit sum divisible. By 4: last 2 digits. By 8: last 3 digits.

04

Binomial Theorem

8 formulas
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Binomial Theorem

#1
(a+b)n=r=0nnCranrbr(a+b)^n = \sum_{r=0}^{n} {}^nC_r a^{n-r} b^r

💡 n must be a non-negative integer. Total (n+1) terms.

General Term

#2
Tr+1=nCranrbrT_{r+1} = {}^nC_r a^{n-r} b^r

💡 The (r+1)th term. r starts from 0. For finding a specific coefficient, set the power of x equal to the required value and solve for r.

Confusing T_r with T_{r+1}. The general term formula gives T_{r+1}, not T_r.

Middle Term(s)

#3
If n even: Tn/2+1If n odd: T(n+1)/2 and T(n+3)/2\text{If } n \text{ even: } T_{n/2+1} \quad | \quad \text{If } n \text{ odd: } T_{(n+1)/2} \text{ and } T_{(n+3)/2}

💡 Even n: one middle term. Odd n: two middle terms. The middle term often has the greatest binomial coefficient.

Sum of Binomial Coefficients

#4
r=0nnCr=2n\sum_{r=0}^{n} {}^nC_r = 2^n

💡 Put x=1 in (1+x)^n. Sum of all coefficients of (1+x)^n is 2^n.

Alternating Sum

#5
r=0n(1)rnCr=0\sum_{r=0}^{n} (-1)^r {}^nC_r = 0

💡 Put x=-1 in (1+x)^n. Even-indexed and odd-indexed coefficients have equal sum.

Sum of Coefficients of f(x)

#6
Sum of coefficients of f(x)=f(1)\text{Sum of coefficients of } f(x) = f(1)

💡 To find sum of all coefficients in any expansion, substitute x=1. Works for any polynomial expression.

Confusing sum of binomial coefficients (always 2^n) with sum of all coefficients (put x=1 in the full expression).

Integral/Rational Terms

#7
Tr+1=nCra(nr)/pbr/q is integral when p(nr) and qrT_{r+1} = {}^nC_r a^{(n-r)/p} b^{r/q} \text{ is integral when } p \mid (n-r) \text{ and } q \mid r

💡 For (a^{1/p} + b^{1/q})^n, the term is rational only when both exponents are integers.

Remainder using Binomial

#8
an=(m±k)n, expand and isolate remainder from kna^n = (m \pm k)^n \text{, expand and isolate remainder from } k^n

💡 Write the base as (multiple of divisor ± small number). All terms except the last are divisible.

05

Matrices & Determinants

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Determinant of 2×2 Matrix

#1
abcd=adbc\begin{vmatrix} a & b \\ c & d \end{vmatrix} = ad - bc

💡 Product of main diagonal minus product of off-diagonal.

Determinant of 3×3 Matrix

#2
A=a(eifh)b(difg)+c(dheg)|A| = a(ei-fh) - b(di-fg) + c(dh-eg)

💡 Expand along the row/column with most zeros to simplify calculation.

Determinant of Product

#3
AB=AB|AB| = |A| \cdot |B|

💡 Works for square matrices of same order. Also |A^n| = |A|^n.

Assuming |A+B| = |A| + |B|. This is FALSE in general.

Adjoint and Inverse

#4
A1=adj(A)A,Aadj(A)=AIA^{-1} = \frac{\text{adj}(A)}{|A|}, \quad A \cdot \text{adj}(A) = |A| \cdot I

💡 adj(A) = transpose of cofactor matrix. |adj(A)| = |A|^{n-1} for n×n matrix.

Forgetting that adj(adj(A)) = |A|^{n-2} · A for n×n matrix.

Scalar Multiple of Determinant

#5
kA=knA for n×n matrix|kA| = k^n |A| \text{ for } n \times n \text{ matrix}

💡 Each of the n rows gets multiplied by k, so the determinant picks up k^n.

Writing |2A| = 2|A| instead of |2A| = 2^n|A|. The exponent n is crucial.

Cramer's Rule

#6
x=DxD,y=DyD,z=DzDx = \frac{D_x}{D}, \quad y = \frac{D_y}{D}, \quad z = \frac{D_z}{D}

💡 D ≠ 0: unique solution. D = 0 and all Dᵢ = 0: infinite or no solutions. D = 0 and some Dᵢ ≠ 0: no solution.

Characteristic Equation (2×2)

#7
AλI=0    λ2tr(A)λ+A=0|A - \lambda I| = 0 \implies \lambda^2 - \text{tr}(A)\lambda + |A| = 0

💡 tr(A) = sum of diagonal elements = sum of eigenvalues. |A| = product of eigenvalues.

Cayley-Hamilton Theorem

#8
Every matrix satisfies its own characteristic equation\text{Every matrix satisfies its own characteristic equation}

💡 For 2×2: A² - tr(A)·A + |A|·I = O. Use this to express A⁻¹ in terms of A and I.

Orthogonal Matrix

#9
AAT=ATA=I    A1=AT,A=±1AA^T = A^TA = I \implies A^{-1} = A^T, \quad |A| = \pm 1

💡 Rotation matrices are orthogonal. If det = 1, it's a proper rotation.

Nested Adjoint

#10
adj(adj(A))=An2A,adj(A)=An1\text{adj}(\text{adj}(A)) = |A|^{n-2} A, \quad |\text{adj}(A)| = |A|^{n-1}

💡 For adj applied k times: det = |A|^{(n-1)^k}. Very common in JEE numerical problems.

06

Probability

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Conditional Probability

#1
P(AB)=P(AB)P(B),P(B)0P(A|B) = \frac{P(A \cap B)}{P(B)}, \quad P(B) \neq 0

💡 Read as 'probability of A given B'. Reduces the sample space to B.

Bayes' Theorem

#2
P(EiA)=P(Ei)P(AEi)j=1nP(Ej)P(AEj)P(E_i|A) = \frac{P(E_i) \cdot P(A|E_i)}{\sum_{j=1}^{n} P(E_j) \cdot P(A|E_j)}

💡 Use when you know the result and want to find which cause produced it. 'Reverse' conditional probability.

Total Probability

#3
P(A)=i=1nP(Ei)P(AEi)P(A) = \sum_{i=1}^{n} P(E_i) \cdot P(A|E_i)

💡 E₁, E₂, ..., Eₙ must be a partition of the sample space (mutually exclusive, exhaustive).

Binomial Distribution

#4
P(X=r)=nCrprqnr,q=1pP(X = r) = {}^nC_r p^r q^{n-r}, \quad q = 1-p

💡 n independent trials, each with success probability p. Mean = np, Variance = npq.

Forgetting that trials must be independent with constant probability for binomial to apply.

Mean & Variance of Binomial

#5
E(X)=np,Var(X)=npq,σ=npqE(X) = np, \quad \text{Var}(X) = npq, \quad \sigma = \sqrt{npq}

💡 For binomial, Var(X) < E(X) since q < 1. If Var > Mean, it's NOT binomial.

Independent Events

#6
P(AB)=P(A)P(B)    A,B independentP(A \cap B) = P(A) \cdot P(B) \iff A, B \text{ independent}

💡 Independence ≠ mutually exclusive. If A and B are mutually exclusive and both have non-zero probability, they are NOT independent.

Expectation & Variance

#7
E(X)=xiP(xi),Var(X)=E(X2)[E(X)]2E(X) = \sum x_i P(x_i), \quad \text{Var}(X) = E(X^2) - [E(X)]^2

💡 Var(aX+b) = a²Var(X). E(aX+b) = aE(X)+b. Variance is always non-negative.

Addition Theorem

#8
P(AB)=P(A)+P(B)P(AB)P(A \cup B) = P(A) + P(B) - P(A \cap B)

💡 For mutually exclusive events: P(A ∪ B) = P(A) + P(B). Extend for 3 events using inclusion-exclusion.

07

Straight Lines

8 formulas
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Slope-Intercept Form

#1
y=mx+cy = mx + c

💡 m = slope, c = y-intercept. Slope = tan(θ) where θ is angle with positive x-axis.

Two-Point Form & Slope Formula

#2
m=y2y1x2x1,yy1y2y1=xx1x2x1m = \frac{y_2 - y_1}{x_2 - x_1}, \quad \frac{y - y_1}{y_2 - y_1} = \frac{x - x_1}{x_2 - x_1}

💡 Slope is undefined for vertical lines (x₁ = x₂).

Distance from Point to Line

#3
d=ax1+by1+ca2+b2d = \frac{|ax_1 + by_1 + c|}{\sqrt{a^2 + b^2}}

💡 Line: ax + by + c = 0. Don't forget the absolute value. Distance between parallel lines: |c₁-c₂|/√(a²+b²).

Angle Between Two Lines

#4
tanθ=m1m21+m1m2\tan\theta = \left|\frac{m_1 - m_2}{1 + m_1 m_2}\right|

💡 For perpendicular lines: m₁m₂ = -1. For parallel lines: m₁ = m₂.

Forgetting the absolute value gives the acute angle. Without |·| you get the signed angle.

Family of Lines

#5
L1+λL2=0L_1 + \lambda L_2 = 0

💡 Passes through the intersection of L₁ = 0 and L₂ = 0 for all values of λ. Choose λ to satisfy additional conditions.

Area of Triangle (Coordinate)

#6
Area=12x1(y2y3)+x2(y3y1)+x3(y1y2)\text{Area} = \frac{1}{2}|x_1(y_2-y_3) + x_2(y_3-y_1) + x_3(y_1-y_2)|

💡 Area = 0 means the points are collinear. Can also use determinant form.

Section Formula

#7
(mx2+nx1m+n,my2+ny1m+n)\left(\frac{mx_2 + nx_1}{m+n}, \frac{my_2 + ny_1}{m+n}\right)

💡 Internal division: both +. External division: replace n with -n. Midpoint: m = n = 1.

Image of Point in a Line

#8
xx1a=yy1b=2(ax1+by1+c)a2+b2\frac{x - x_1}{a} = \frac{y - y_1}{b} = -\frac{2(ax_1 + by_1 + c)}{a^2 + b^2}

💡 Line: ax + by + c = 0. The foot of perpendicular uses the same formula but with -1 instead of -2.

08

Definite & Indefinite Integrals

10 formulas
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Power Rule

#1
xndx=xn+1n+1+C,n1\int x^n \, dx = \frac{x^{n+1}}{n+1} + C, \quad n \neq -1

💡 For n = -1: ∫(1/x)dx = ln|x| + C. Always add the constant of integration for indefinite integrals.

Integration by Substitution

#2
f(g(x))g(x)dx=f(t)dt,t=g(x)\int f(g(x)) \cdot g'(x) \, dx = \int f(t) \, dt, \quad t = g(x)

💡 Choose substitution to simplify the integrand. Don't forget to convert dx to dt and change limits for definite integrals.

Integration by Parts

#3
udv=uvvdu\int u \, dv = uv - \int v \, du

💡 ILATE rule for choosing u: Inverse trig > Log > Algebraic > Trig > Exponential.

Forgetting to apply by parts again when the new integral is still a product (sometimes needed twice).

King's Property

#4
abf(x)dx=abf(a+bx)dx\int_a^b f(x) \, dx = \int_a^b f(a+b-x) \, dx

💡 Most powerful property for definite integrals. Use when f(x) + f(a+b-x) simplifies nicely.

Even/Odd Function Property

#5
aaf(x)dx={20af(x)dxif f(x)=f(x)0if f(x)=f(x)\int_{-a}^{a} f(x) \, dx = \begin{cases} 2\int_0^a f(x)\,dx & \text{if } f(-x)=f(x) \\ 0 & \text{if } f(-x)=-f(x) \end{cases}

💡 Check parity first for symmetric limits. Saves huge computation for odd functions (integral = 0).

Periodic Function Property

#6
0nTf(x)dx=n0Tf(x)dx if f(x+T)=f(x)\int_0^{nT} f(x) \, dx = n \int_0^T f(x) \, dx \text{ if } f(x+T)=f(x)

💡 For sin²x, cos²x: period = π. For |sinx|, |cosx|: period = π.

Walli's Formula

#7
0π/2sinnxdx=0π/2cosnxdx=(n1)!!n!!k\int_0^{\pi/2} \sin^n x \, dx = \int_0^{\pi/2} \cos^n x \, dx = \frac{(n-1)!!}{n!!} \cdot k

💡 k = π/2 if n is even, k = 1 if n is odd. Double factorial: n!! = n(n-2)(n-4)...

Partial Fractions

#8
P(x)(xa)(xb)=Axa+Bxb\frac{P(x)}{(x-a)(x-b)} = \frac{A}{x-a} + \frac{B}{x-b}

💡 For repeated roots: A/(x-a) + B/(x-a)². For irreducible quadratic: (Ax+B)/(x²+px+q).

Definite Integral as Limit of Sum

#9
01f(x)dx=limn1nr=1nf(rn)\int_0^1 f(x)\,dx = \lim_{n\to\infty} \frac{1}{n}\sum_{r=1}^{n} f\left(\frac{r}{n}\right)

💡 Replace r/n → x, 1/n → dx. Limits: r=1 gives x=0, r=n gives x=1.

Beta Function

#10
β(m,n)=01xm1(1x)n1dx=Γ(m)Γ(n)Γ(m+n)\beta(m,n) = \int_0^1 x^{m-1}(1-x)^{n-1}\,dx = \frac{\Gamma(m)\Gamma(n)}{\Gamma(m+n)}

💡 Useful for integrals of the form ∫₀¹ xᵃ(1-x)ᵇ dx. Γ(n) = (n-1)! for positive integers.

09

Trigonometric Functions

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Compound Angle Formulas (sin, cos)

#1
sin(A±B)=sinAcosB±cosAsinB,cos(A±B)=cosAcosBsinAsinB\sin(A \pm B) = \sin A \cos B \pm \cos A \sin B, \quad \cos(A \pm B) = \cos A \cos B \mp \sin A \sin B

💡 For cos, the sign flips: cos(A+B) has minus, cos(A-B) has plus.

Using the same sign for both sin and cos compound angle formulas. TRAP: Students write sin(A+B) = sinA + sinB. This is WRONG. The correct expansion is sinA cosB + cosA sinB.

Compound Angle Formula (tan)

#2
tan(A±B)=tanA±tanB1tanAtanB\tan(A \pm B) = \frac{\tan A \pm \tan B}{1 \mp \tan A \tan B}

💡 Undefined when denominator is zero, i.e., tan A tan B = 1 for A+B case.

Getting the sign wrong in the denominator. For tan(A+B), denominator has minus.

Double Angle Formulas

#3
sin2A=2sinAcosA,cos2A=cos2Asin2A=2cos2A1=12sin2A,tan2A=2tanA1tan2A\sin 2A = 2\sin A \cos A, \quad \cos 2A = \cos^2 A - \sin^2 A = 2\cos^2 A - 1 = 1 - 2\sin^2 A, \quad \tan 2A = \frac{2\tan A}{1 - \tan^2 A}

💡 cos 2A has three equivalent forms. Pick the one that matches the unknowns in the problem.

Using sin 2A = sin A cos A (forgetting the factor of 2). TRAP: Students confuse cos 2A = cos^2A - sin^2A with cos 2A = cos^2A + sin^2A (which is just 1). Pick the form matching your unknowns.

Half Angle Formulas

#4
sinA2=±1cosA2,cosA2=±1+cosA2,tanA2=sinA1+cosA=1cosAsinA\sin\frac{A}{2} = \pm\sqrt{\frac{1 - \cos A}{2}}, \quad \cos\frac{A}{2} = \pm\sqrt{\frac{1 + \cos A}{2}}, \quad \tan\frac{A}{2} = \frac{\sin A}{1 + \cos A} = \frac{1 - \cos A}{\sin A}

💡 The sign of the square root depends on the quadrant of A/2, not A. Derived from cos 2A = 1 - 2sin^2A (rearrange for sin A/2) and cos 2A = 2cos^2A - 1 (rearrange for cos A/2).

Dropping the absolute value or choosing the wrong sign for the square root form.

Product-to-Sum Formulas

#5
2sinAcosB=sin(A+B)+sin(AB),2cosAcosB=cos(AB)+cos(A+B),2sinAsinB=cos(AB)cos(A+B)2\sin A \cos B = \sin(A+B) + \sin(A-B), \quad 2\cos A \cos B = \cos(A-B) + \cos(A+B), \quad 2\sin A \sin B = \cos(A-B) - \cos(A+B)

💡 Useful for integrating products of trig functions and simplifying series. Derived by adding/subtracting compound angle formulas.

Confusing the signs: for 2 sin A sin B, it is cos(A-B) MINUS cos(A+B).

Sum-to-Product Formulas

#6
sinC+sinD=2sinC+D2cosCD2,cosC+cosD=2cosC+D2cosCD2\sin C + \sin D = 2\sin\frac{C+D}{2}\cos\frac{C-D}{2}, \quad \cos C + \cos D = 2\cos\frac{C+D}{2}\cos\frac{C-D}{2}

💡 For sin C - sin D, it becomes 2 cos((C+D)/2) sin((C-D)/2). For cos C - cos D, it becomes -2 sin((C+D)/2) sin((C-D)/2).

Mixing up product-to-sum and sum-to-product formulas, or getting the difference versions wrong.

General Solutions of Trigonometric Equations

#7
sinx=sinαx=nπ+(1)nα,cosx=cosαx=2nπ±α,tanx=tanαx=nπ+α(nZ)\sin x = \sin\alpha \Rightarrow x = n\pi + (-1)^n \alpha, \quad \cos x = \cos\alpha \Rightarrow x = 2n\pi \pm \alpha, \quad \tan x = \tan\alpha \Rightarrow x = n\pi + \alpha \quad (n \in \mathbb{Z})

💡 Always express the general solution. For specific intervals, substitute integer values of n.

Writing sin x = sin alpha as x = n*pi + alpha (missing the (-1)^n factor).

Sine Rule

#8
asinA=bsinB=csinC=2R\frac{a}{\sin A} = \frac{b}{\sin B} = \frac{c}{\sin C} = 2R

💡 R is the circumradius. Use when you know an angle and its opposite side, or need to find the circumradius.

Forgetting the 2R part, which is essential for circumradius problems.

Cosine Rule

#9
cosA=b2+c2a22bc,a2=b2+c22bccosA\cos A = \frac{b^2 + c^2 - a^2}{2bc}, \quad a^2 = b^2 + c^2 - 2bc\cos A

💡 Use when you know all three sides (SSS), or two sides and included angle (SAS).

Writing a^2 = b^2 + c^2 + 2bc cos A (wrong sign before the 2bc cos A term).

Area of Triangle Using Trig

#10
Δ=12absinC=12bcsinA=12casinB\Delta = \frac{1}{2}ab\sin C = \frac{1}{2}bc\sin A = \frac{1}{2}ca\sin B

💡 Also equals abc/(4R) using the sine rule, and rs where r is the inradius and s is the semi-perimeter.

Using the wrong pair of sides for the included angle. The angle must be between the two sides used.
10

Limits, Continuity & Differentiability

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Limit of sin x / x

#1
limx0sinxx=1\lim_{x \to 0} \frac{\sin x}{x} = 1

💡 Works for radians only. Also: lim(tan x / x) = 1 and lim(sin(kx) / (kx)) = 1 as x approaches 0.

Exponential Limit (1 + x)^(1/x)

#2
limx0(1+x)1/x=eor equivalentlylimn(1+1n)n=e\lim_{x \to 0} (1 + x)^{1/x} = e \quad \text{or equivalently} \quad \lim_{n \to \infty} \left(1 + \frac{1}{n}\right)^n = e

💡 For the general form: lim [1 + f(x)]^(1/f(x)) = e when f(x) approaches 0. Use this to handle 1^infinity forms.

Limit of (e^x - 1)/x

#3
limx0ex1x=1\lim_{x \to 0} \frac{e^x - 1}{x} = 1

💡 Useful for converting exponential limits into simpler forms. Substitute t = e^x - 1 when needed.

Limit of (a^x - 1)/x

#4
limx0ax1x=loga(a>0)\lim_{x \to 0} \frac{a^x - 1}{x} = \log a \quad (a > 0)

💡 Here log means log base e (natural logarithm). This follows from writing a^x = e^(x log a) and using the (e^t - 1)/t limit.

Limit of (x^n - a^n)/(x - a)

#5
limxaxnanxa=nan1\lim_{x \to a} \frac{x^n - a^n}{x - a} = n \cdot a^{n-1}

💡 Valid for all real n. This is essentially the derivative of x^n at x = a from first principles.

L'Hopital's Rule

#6
If limxaf(x)g(x)=00 or ±±, then limxaf(x)g(x)=limxaf(x)g(x)\text{If } \lim_{x \to a} \frac{f(x)}{g(x)} = \frac{0}{0} \text{ or } \frac{\pm\infty}{\pm\infty}, \text{ then } \lim_{x \to a} \frac{f(x)}{g(x)} = \lim_{x \to a} \frac{f'(x)}{g'(x)}

💡 Always verify the 0/0 or infinity/infinity indeterminate form before applying. May need to be applied repeatedly.

Applying L'Hopital's rule when the limit is NOT in 0/0 or infinity/infinity form gives wrong answers.

Condition for Continuity

#7
f is continuous at x=a    limxaf(x)=limxa+f(x)=f(a)f \text{ is continuous at } x = a \iff \lim_{x \to a^-} f(x) = \lim_{x \to a^+} f(x) = f(a)

💡 All three must exist and be equal: left-hand limit, right-hand limit, and the function value at the point.

Derivative from First Principles

#8
f(a)=limh0f(a+h)f(a)hf'(a) = \lim_{h \to 0} \frac{f(a+h) - f(a)}{h}

💡 Also called the limit definition of derivative. Both left-hand derivative (h approaches 0 from negative side) and right-hand derivative must be equal for differentiability.

Rolle's Theorem

#9
If f is continuous on [a,b], differentiable on (a,b), and f(a)=f(b), then c(a,b) such that f(c)=0\text{If } f \text{ is continuous on } [a,b], \text{ differentiable on } (a,b), \text{ and } f(a)=f(b), \text{ then } \exists\, c \in (a,b) \text{ such that } f'(c)=0

💡 All three conditions must hold: continuity on [a,b], differentiability on (a,b), and f(a) = f(b). If any fails, the theorem cannot be applied.

Lagrange's Mean Value Theorem (LMVT)

#10
If f is continuous on [a,b] and differentiable on (a,b), then c(a,b) such that f(c)=f(b)f(a)ba\text{If } f \text{ is continuous on } [a,b] \text{ and differentiable on } (a,b), \text{ then } \exists\, c \in (a,b) \text{ such that } f'(c) = \frac{f(b)-f(a)}{b-a}

💡 LMVT is a generalization of Rolle's theorem (Rolle's is the special case when f(a) = f(b)). Geometrically, the tangent at c is parallel to the secant joining (a, f(a)) and (b, f(b)).

11

Application of Derivatives

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Rate of Change

#1
dydx=limΔx0ΔyΔx\frac{dy}{dx} = \lim_{\Delta x \to 0} \frac{\Delta y}{\Delta x}

💡 dy/dx gives the instantaneous rate of change of y with respect to x. For related rates, use chain rule: dy/dt = (dy/dx)(dx/dt).

Equation of Tangent

#2
yy1=f(x1)(xx1)y - y_1 = f'(x_1)(x - x_1)

💡 The slope of the tangent at (x1, y1) is f'(x1). If f'(x1) = 0, the tangent is horizontal: y = y1.

Equation of Normal

#3
yy1=1f(x1)(xx1),f(x1)0y - y_1 = -\frac{1}{f'(x_1)}(x - x_1), \quad f'(x_1) \neq 0

💡 Normal is perpendicular to the tangent. Its slope = -1/f'(x1). If f'(x1) = 0, the normal is vertical: x = x1.

Length of Tangent, Normal, Subtangent, Subnormal

#4
Subtangent=y1f(x1),Subnormal=y1f(x1)\text{Subtangent} = \frac{y_1}{f'(x_1)}, \quad \text{Subnormal} = y_1 \cdot f'(x_1)

💡 Length of tangent = |y1|sqrt(1 + 1/[f'(x1)]^2). Length of normal = |y1|sqrt(1 + [f'(x1)]^2). These are measured from the point to the x-axis intercept along tangent/normal.

Condition for Increasing Function

#5
f(x)>0 on (a,b)f is strictly increasing on [a,b]f'(x) > 0 \text{ on } (a, b) \Rightarrow f \text{ is strictly increasing on } [a, b]

💡 f'(x) >= 0 (with equality only at isolated points) also gives strictly increasing. Check open interval for derivative sign.

Condition for Decreasing Function

#6
f(x)<0 on (a,b)f is strictly decreasing on [a,b]f'(x) < 0 \text{ on } (a, b) \Rightarrow f \text{ is strictly decreasing on } [a, b]

💡 Similar to increasing: f'(x) <= 0 (with equality only at isolated points) also gives strictly decreasing.

First Derivative Test

#7
f(x) changes sign: +local max,+local minf'(x) \text{ changes sign: } +\to- \Rightarrow \text{local max}, \quad -\to+ \Rightarrow \text{local min}

💡 Find critical points where f'(x) = 0 or f'(x) does not exist. Check sign of f'(x) on either side of each critical point.

Second Derivative Test

#8
f(c)=0 and f(c)<0local max;f(c)>0local minf'(c) = 0 \text{ and } f''(c) < 0 \Rightarrow \text{local max}; \quad f''(c) > 0 \Rightarrow \text{local min}

💡 If f''(c) = 0, the test is inconclusive. Fall back to the first derivative test in that case.

Applying the second derivative test when f''(c) = 0 and concluding it is a point of inflection without further analysis.

Global Max/Min on Closed Interval [a, b]

#9
Global max/min of f on [a,b]=max/min{f(a),f(c1),f(c2),,f(b)}\text{Global max/min of } f \text{ on } [a,b] = \max/\min\{f(a),\, f(c_1),\, f(c_2),\, \ldots,\, f(b)\}

💡 Evaluate f at all critical points inside (a, b) AND at both endpoints a and b. The largest value is the global max, smallest is the global min.

Linear Approximation

#10
f(x+Δx)f(x)+f(x)Δxf(x + \Delta x) \approx f(x) + f'(x) \cdot \Delta x

💡 Used to approximate values like sqrt(4.01), (3.98)^(1/2), etc. Choose x as the nearest value where f is easy to compute.

12

Differential Equations

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Order and Degree of a Differential Equation

#1
Order=highest order derivative,Degree=power of highest order derivative (polynomial form)\text{Order} = \text{highest order derivative}, \quad \text{Degree} = \text{power of highest order derivative (polynomial form)}

💡 Order is always defined. Degree is defined only when the DE is a polynomial in its derivatives. If sin(y') or e^(y'') appears, degree is not defined.

Variable Separable Form

#2
dydx=f(x)g(y)    dyg(y)=f(x)dx+C\frac{dy}{dx} = f(x)\,g(y) \implies \int \frac{dy}{g(y)} = \int f(x)\,dx + C

💡 Separate all y terms (with dy) to one side and all x terms (with dx) to the other, then integrate both sides.

Homogeneous Differential Equation

#3
dydx=F ⁣(yx),Put y=vx    v+xdvdx=F(v)\frac{dy}{dx} = F\!\left(\frac{y}{x}\right), \quad \text{Put } y = vx \implies v + x\frac{dv}{dx} = F(v)

💡 After solving for v, substitute back v = y/x to get the solution in terms of x and y.

Linear First-Order DE

#4
dydx+P(x)y=Q(x),IF=ePdx,yIF=QIFdx+C\frac{dy}{dx} + P(x)\,y = Q(x), \quad \text{IF} = e^{\int P\,dx}, \quad y \cdot \text{IF} = \int Q \cdot \text{IF}\,dx + C

💡 First rewrite the DE in standard linear form. The integrating factor (IF) multiplies both sides. Remember: the formula also works as dx/dy + P(y)x = Q(y).

Bernoulli's Equation

#5
dydx+P(x)y=Q(x)yn,Divide by yn, put v=y1n\frac{dy}{dx} + P(x)\,y = Q(x)\,y^n, \quad \text{Divide by } y^n, \text{ put } v = y^{1-n}

💡 After substituting v = y^(1-n), the equation reduces to a linear DE in v. Solve that linear DE, then convert back to y.

Exact Differential Equation

#6
Mdx+Ndy=0 is exact if My=NxM\,dx + N\,dy = 0 \text{ is exact if } \frac{\partial M}{\partial y} = \frac{\partial N}{\partial x}

💡 Solution: integrate M w.r.t. x (treating y as constant), then add terms from N that are not already present. The solution is F(x,y) = C.

Formation of DE by Eliminating Constants

#7
Family with n arbitrary constants    differentiate n times and eliminate all constants\text{Family with } n \text{ arbitrary constants} \implies \text{differentiate } n \text{ times and eliminate all constants}

💡 The order of the resulting DE equals the number of arbitrary constants in the family of curves.

Orthogonal Trajectories

#8
Replace dydx with dxdy in the DE of the given family\text{Replace } \frac{dy}{dx} \text{ with } -\frac{dx}{dy} \text{ in the DE of the given family}

💡 Orthogonal trajectories cut the given family at right angles. After replacement, solve the new DE to get the trajectory equation.

Exponential Growth and Decay

#9
dNdt=kN    N=N0ekt\frac{dN}{dt} = kN \implies N = N_0\,e^{kt}

💡 k > 0 for growth, k < 0 for decay. Half-life: t_{1/2} = log(2)/|k|. Use log, not ln, per JEE convention.

Newton's Law of Cooling

#10
dTdt=k(TTs),T=Ts+(T0Ts)ekt\frac{dT}{dt} = -k(T - T_s), \quad T = T_s + (T_0 - T_s)\,e^{-kt}

💡 T_s is the surrounding temperature, T_0 is the initial temperature of the body, and k > 0. The body cools exponentially toward T_s.

13

Conic Sections

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Standard Parabola y² = 4ax

#1
y2=4ax,Focus: (a,0),Directrix: x=a,LR=4ay^2 = 4ax, \quad \text{Focus: } (a, 0), \quad \text{Directrix: } x = -a, \quad \text{LR} = 4a

💡 Vertex at origin. Axis along x-axis. For y² = -4ax, the parabola opens leftward. Latus rectum (LR) passes through the focus, perpendicular to the axis.

Standard Ellipse

#2
x2a2+y2b2=1,e=1b2a2,Foci: (±ae,0)\frac{x^2}{a^2} + \frac{y^2}{b^2} = 1, \quad e = \sqrt{1 - \frac{b^2}{a^2}}, \quad \text{Foci: } (\pm ae, 0)

💡 Here a > b. If b > a, the major axis is along the y-axis and eccentricity uses a²/b². For an ellipse, 0 < e < 1 always.

Standard Hyperbola

#3
x2a2y2b2=1,e=1+b2a2,Asymptotes: y=±bax\frac{x^2}{a^2} - \frac{y^2}{b^2} = 1, \quad e = \sqrt{1 + \frac{b^2}{a^2}}, \quad \text{Asymptotes: } y = \pm \frac{b}{a}x

💡 For a hyperbola, e > 1 always. The conjugate hyperbola is x²/a² - y²/b² = -1. Relationship: b² = a²(e² - 1).

Tangent to Parabola in Slope Form

#4
y=mx+amy = mx + \frac{a}{m}

💡 This is the tangent to y² = 4ax with slope m. The point of contact is (a/m², 2a/m). For m = 0, the tangent is at infinity.

Tangent to Ellipse in Slope Form

#5
y=mx±a2m2+b2y = mx \pm \sqrt{a^2 m^2 + b^2}

💡 The condition for y = mx + c to be tangent to the ellipse is c² = a²m² + b². Two tangents exist for each slope (one on each side).

Using c² = a²m² - b² (hyperbola formula) instead of c² = a²m² + b² for ellipse.

Condition for Tangency to Conics

#6
Ellipse: c2=a2m2+b2,Hyperbola: c2=a2m2b2\text{Ellipse: } c^2 = a^2 m^2 + b^2, \quad \text{Hyperbola: } c^2 = a^2 m^2 - b^2

💡 For parabola y² = 4ax: c = a/m. Note the sign difference between ellipse (+b²) and hyperbola (-b²).

Confusing the + and - signs between ellipse and hyperbola tangency conditions.

Focal Chord Property

#7
1SP+1SQ=2l,l=semi-latus rectum\frac{1}{SP} + \frac{1}{SQ} = \frac{2}{l}, \quad l = \text{semi-latus rectum}

💡 For parabola y² = 4ax, the semi-latus rectum l = 2a. If PQ is a focal chord with parameters t₁ and t₂, then t₁t₂ = -1.

Director Circle

#8
Ellipse: x2+y2=a2+b2,Hyperbola: x2+y2=a2b2\text{Ellipse: } x^2 + y^2 = a^2 + b^2, \quad \text{Hyperbola: } x^2 + y^2 = a^2 - b^2

💡 The director circle is the locus of the point from which two perpendicular tangents are drawn. For hyperbola, it exists only when a > b.

Chord of Contact (T = 0)

#9
Parabola: yy1=2a(x+x1),Ellipse: xx1a2+yy1b2=1\text{Parabola: } yy_1 = 2a(x + x_1), \quad \text{Ellipse: } \frac{xx_1}{a^2} + \frac{yy_1}{b^2} = 1

💡 T = 0 gives chord of contact from external point (x₁, y₁). Same equation works for tangent at a point on the curve. For pair of tangents: SS₁ = T².

Parametric Forms of Conics

#10
Parabola: (at2,2at),Ellipse: (acosθ,bsinθ),Hyperbola: (asecθ,btanθ)\text{Parabola: } (at^2, 2at), \quad \text{Ellipse: } (a\cos\theta, b\sin\theta), \quad \text{Hyperbola: } (a\sec\theta, b\tan\theta)

💡 Parametric form simplifies tangent and normal equations. For parabola, slope of tangent at parameter t is 1/t.

14

Vectors

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Magnitude of a Vector

#1
a=a12+a22+a32|\vec{a}| = \sqrt{a_1^2 + a_2^2 + a_3^2}

💡 Also called the modulus or length. Always non-negative. |a| = 0 only for the zero vector.

Dot Product

#2
ab=abcosθ=a1b1+a2b2+a3b3\vec{a} \cdot \vec{b} = |\vec{a}||\vec{b}|\cos\theta = a_1b_1 + a_2b_2 + a_3b_3

💡 Result is a scalar. theta is the angle between the two vectors. Dot product is commutative: a.b = b.a.

Forgetting that the result is a scalar, not a vector.

Cross Product Magnitude

#3
a×b=absinθ|\vec{a} \times \vec{b}| = |\vec{a}||\vec{b}|\sin\theta

💡 Result is a vector perpendicular to both a and b (right-hand rule). Cross product is NOT commutative: a x b = -(b x a).

Assuming a x b = b x a. The cross product is anti-commutative.

Scalar Triple Product

#4
[a b c]=a(b×c)=a1a2a3b1b2b3c1c2c3[\vec{a}\ \vec{b}\ \vec{c}] = \vec{a} \cdot (\vec{b} \times \vec{c}) = \begin{vmatrix} a_1 & a_2 & a_3 \\ b_1 & b_2 & b_3 \\ c_1 & c_2 & c_3 \end{vmatrix}

💡 Result is a scalar. Cyclic permutation does not change the value: [a b c] = [b c a] = [c a b]. Swapping two vectors changes the sign.

Projection of a on b

#5
Projection of a on b=abb\text{Projection of } \vec{a} \text{ on } \vec{b} = \frac{\vec{a} \cdot \vec{b}}{|\vec{b}|}

💡 This gives a scalar (the component of a along b). For the vector projection, multiply by the unit vector of b.

Dividing by |a| instead of |b|, or forgetting the magnitude in the denominator entirely.

Area of Triangle

#6
Area=12a×b\text{Area} = \frac{1}{2}|\vec{a} \times \vec{b}|

💡 Here a and b are vectors representing two sides of the triangle from a common vertex.

Area of Parallelogram

#7
Area=a×b\text{Area} = |\vec{a} \times \vec{b}|

💡 Parallelogram area is exactly twice the triangle area formed by the same two vectors.

Volume of Parallelepiped

#8
V=[a b c]=a(b×c)V = |[\vec{a}\ \vec{b}\ \vec{c}]| = |\vec{a} \cdot (\vec{b} \times \vec{c})|

💡 Take the absolute value of the scalar triple product. Volume is always non-negative.

Condition for Coplanarity

#9
[a b c]=0[\vec{a}\ \vec{b}\ \vec{c}] = 0

💡 Three vectors are coplanar if and only if their scalar triple product is zero. Equivalently, the 3x3 determinant of their components is zero.

Section Formula

#10
r=mb+nam+n\vec{r} = \frac{m\vec{b} + n\vec{a}}{m + n}

💡 Divides the line segment from A (position vector a) to B (position vector b) in the ratio m:n internally. For external division, use m:(-n).

Swapping m and n. The coefficient of b (the far point) goes with m (the near ratio).
15

3D Geometry

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Direction Cosine Relation

#1
l2+m2+n2=1l^2 + m^2 + n^2 = 1

💡 Direction cosines (l, m, n) are the cosines of the angles a line makes with the positive x, y, z axes. They always satisfy l^2 + m^2 + n^2 = 1.

Confusing direction cosines with direction ratios. DRs (a, b, c) do not satisfy a^2 + b^2 + c^2 = 1 in general.

Symmetric Form of a Line

#2
xx1a=yy1b=zz1c\frac{x - x_1}{a} = \frac{y - y_1}{b} = \frac{z - z_1}{c}

💡 Here (x1, y1, z1) is a point on the line and (a, b, c) are direction ratios of the line. If any DR is zero, the corresponding numerator must also be zero.

General Equation of a Plane

#3
ax+by+cz+d=0ax + by + cz + d = 0

💡 Here (a, b, c) are the direction ratios of the normal to the plane. The normal vector is n = a i + b j + c k.

Angle Between Two Lines

#4
cosθ=a1a2+b1b2+c1c2a12+b12+c12a22+b22+c22\cos\theta = \frac{|a_1a_2 + b_1b_2 + c_1c_2|}{\sqrt{a_1^2+b_1^2+c_1^2}\sqrt{a_2^2+b_2^2+c_2^2}}

💡 Use direction ratios (a1, b1, c1) and (a2, b2, c2) of the two lines. Take the absolute value of the numerator to get the acute angle.

Forgetting the absolute value in the numerator. Without it you may get the obtuse angle.

Angle Between a Line and a Plane

#5
sinθ=al+bm+cna2+b2+c2l2+m2+n2\sin\theta = \frac{|al + bm + cn|}{\sqrt{a^2+b^2+c^2}\sqrt{l^2+m^2+n^2}}

💡 theta is measured between the line and the plane (not the normal). The formula uses sin, not cos. Here (l, m, n) are DRs of the line and (a, b, c) are DRs of the normal to the plane.

Using cos instead of sin. The angle between a line and a plane is the complement of the angle between the line and the normal.

Distance from a Point to a Plane

#6
d=ax1+by1+cz1+da2+b2+c2d = \frac{|ax_1 + by_1 + cz_1 + d|}{\sqrt{a^2 + b^2 + c^2}}

💡 Substitute the point (x1, y1, z1) directly into ax + by + cz + d. The absolute value ensures a non-negative distance.

Dropping the absolute value sign and getting a negative distance, or forgetting the constant d in the numerator.

Shortest Distance Between Skew Lines

#7
d=(a2a1)(b1×b2)b1×b2d = \frac{|(\vec{a_2}-\vec{a_1}) \cdot (\vec{b_1} \times \vec{b_2})|}{|\vec{b_1} \times \vec{b_2}|}

💡 Lines: r = a1 + t*b1 and r = a2 + s*b2. Compute b1 x b2 first, then dot it with (a2 - a1). Take the absolute value and divide by |b1 x b2|.

Using (a1 - a2) instead of (a2 - a1) and then forgetting the absolute value, leading to a sign error.

Condition for Coplanarity of Two Lines

#8
(a2a1)(b1×b2)=0(\vec{a_2}-\vec{a_1}) \cdot (\vec{b_1} \times \vec{b_2}) = 0

💡 Two lines are coplanar (intersect or are parallel) if and only if the shortest distance between them is zero. This is equivalent to the scalar triple product being zero.

Foot of Perpendicular from Point to Plane

#9
xx1a=yy1b=zz1c=ax1+by1+cz1+da2+b2+c2\frac{x - x_1}{a} = \frac{y - y_1}{b} = \frac{z - z_1}{c} = -\frac{ax_1+by_1+cz_1+d}{a^2+b^2+c^2}

💡 The foot lies on the line through (x1, y1, z1) with DRs (a, b, c) (the normal direction). Substitute the parametric point into the plane equation to find the parameter value.

Image of a Point in a Plane

#10
xx1a=yy1b=zz1c=2(ax1+by1+cz1+d)a2+b2+c2\frac{x - x_1}{a} = \frac{y - y_1}{b} = \frac{z - z_1}{c} = -\frac{2(ax_1+by_1+cz_1+d)}{a^2+b^2+c^2}

💡 The image is obtained by going twice the distance from the point to the plane along the normal. The parameter value is exactly double that of the foot of perpendicular.

Using the single distance formula instead of double. The image is at twice the perpendicular distance, not equal to it.
16

Circles

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General Equation of a Circle

#1
x2+y2+2gx+2fy+c=0x^2 + y^2 + 2gx + 2fy + c = 0

💡 Center is (-g, -f) and radius is sqrt(g^2 + f^2 - c). The radius is real only when g^2 + f^2 - c > 0.

Forgetting to halve the coefficients of x and y to get g and f. If the equation has 4x, then g = 2, not 4.

Standard Form of a Circle

#2
(xh)2+(yk)2=r2(x - h)^2 + (y - k)^2 = r^2

💡 Center is (h, k) and radius is r. This is the most direct form when center and radius are known.

Tangent from an External Point

#3
yy1=m(xx1) with c2=a2(1+m2)y - y_1 = m(x - x_1) \text{ with } c^2 = a^2(1 + m^2)

💡 For the circle x^2 + y^2 = a^2, the tangent y = mx + c requires c^2 = a^2(1 + m^2). From an external point, there are exactly two tangents.

Forgetting that there are always two tangent lines from an external point and only finding one.

Length of Tangent from External Point

#4
L=S1=x12+y12+2gx1+2fy1+cL = \sqrt{S_1} = \sqrt{x_1^2 + y_1^2 + 2gx_1 + 2fy_1 + c}

💡 S1 is obtained by substituting the external point (x1, y1) into the circle equation. This works only when the point is outside the circle (S1 > 0).

Chord of Contact T = 0

#5
Txx1+yy1+g(x+x1)+f(y+y1)+c=0T \equiv xx_1 + yy_1 + g(x + x_1) + f(y + y_1) + c = 0

💡 The chord of contact from an external point (x1, y1) to the circle is obtained by replacing x^2 with xx1, y^2 with yy1, x with (x+x1)/2, and y with (y+y1)/2.

Power of a Point

#6
Power=x12+y12+2gx1+2fy1+c=S1\text{Power} = x_1^2 + y_1^2 + 2gx_1 + 2fy_1 + c = S_1

💡 Power is positive if the point is outside, zero if on the circle, and negative if inside. It equals (distance from center)^2 - r^2.

Radical Axis of Two Circles

#7
S1S2=0S_1 - S_2 = 0

💡 The radical axis is the locus of points having equal power with respect to both circles. It is always perpendicular to the line joining the centers.

Writing S1 + S2 = 0 instead of S1 - S2 = 0. The radical axis is the difference, not the sum.

Condition for Orthogonal Circles

#8
2g1g2+2f1f2=c1+c22g_1g_2 + 2f_1f_2 = c_1 + c_2

💡 Two circles are orthogonal when their tangents at the intersection points are perpendicular. This condition comes from the Pythagorean theorem applied to the triangle formed by the two centers and a point of intersection.

Parametric Form of a Circle

#9
x=h+rcosθ,y=k+rsinθx = h + r\cos\theta, \quad y = k + r\sin\theta

💡 Any point on the circle (x-h)^2 + (y-k)^2 = r^2 can be written as (h + r cos(theta), k + r sin(theta)). Useful for finding points on the circle satisfying additional conditions.

Director Circle

#10
x2+y2=2a2x^2 + y^2 = 2a^2

💡 The director circle of x^2 + y^2 = a^2 is the locus of the point from which two perpendicular tangents can be drawn to the circle. Its radius is a*sqrt(2).

17

Inverse Trigonometric Functions

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Principal Value Ranges

#1
sin1x[π2,π2],cos1x[0,π],tan1x(π2,π2)\sin^{-1}x \in \left[-\frac{\pi}{2}, \frac{\pi}{2}\right], \quad \cos^{-1}x \in [0, \pi], \quad \tan^{-1}x \in \left(-\frac{\pi}{2}, \frac{\pi}{2}\right)

💡 Domain of sin inverse and cos inverse is [-1, 1]. Domain of tan inverse is all real numbers. The principal value is the unique value in the specified range. cosec inverse, sec inverse, and cot inverse follow from these.

Writing sin inverse(sin(5pi/6)) = 5pi/6. The answer must lie in [-pi/2, pi/2], so the correct answer is pi/6.

Complementary Pair Identity

#2
sin1x+cos1x=π2,tan1x+cot1x=π2,cosec1x+sec1x=π2\sin^{-1}x + \cos^{-1}x = \frac{\pi}{2}, \quad \tan^{-1}x + \cot^{-1}x = \frac{\pi}{2}, \quad \cosec^{-1}x + \sec^{-1}x = \frac{\pi}{2}

💡 Valid for all x in the respective domains. These are the most frequently used identities in JEE. They allow you to convert between inverse trig functions quickly.

Sum of Two tan inverse Values

#3
tan1x+tan1y={tan1x+y1xy,xy<1π+tan1x+y1xy,xy>1,x>0π+tan1x+y1xy,xy>1,x<0\tan^{-1}x + \tan^{-1}y = \begin{cases} \tan^{-1}\frac{x+y}{1-xy}, & xy < 1 \\ \pi + \tan^{-1}\frac{x+y}{1-xy}, & xy > 1,\, x > 0 \\ -\pi + \tan^{-1}\frac{x+y}{1-xy}, & xy > 1,\, x < 0 \end{cases}

💡 The condition xy < 1 vs xy > 1 determines whether the sum stays in (-pi/2, pi/2) or shifts by pi. This is the most tested formula in inverse trig.

Using tan inverse(x) + tan inverse(y) = tan inverse((x+y)/(1-xy)) without checking whether xy < 1. When xy > 1, you must add or subtract pi.

Double Angle: 2 tan inverse x

#4
2tan1x={sin12x1+x2,x1cos11x21+x2,x0tan12x1x2,x<12\tan^{-1}x = \begin{cases} \sin^{-1}\frac{2x}{1+x^2}, & |x| \le 1 \\ \cos^{-1}\frac{1-x^2}{1+x^2}, & x \ge 0 \\ \tan^{-1}\frac{2x}{1-x^2}, & |x| < 1 \end{cases}

💡 These identities connect tan inverse to sin inverse and cos inverse via double-angle substitution. The domain restrictions are critical and are the main source of errors.

sin inverse of 2x sqrt(1 - x^2)

#5
sin1(2x1x2)={2sin1x,x12π2sin1x,12<x1\sin^{-1}(2x\sqrt{1-x^2}) = \begin{cases} 2\sin^{-1}x, & |x| \le \frac{1}{\sqrt{2}} \\ \pi - 2\sin^{-1}x, & \frac{1}{\sqrt{2}} < x \le 1 \end{cases}

💡 This comes from substituting x = sin(theta). The split at 1/sqrt(2) corresponds to theta = pi/4. JEE often tests this with x = sqrt(3)/2 or x = 1/sqrt(2).

Applying the formula 2*sin inverse(x) without checking whether x is in the valid range. For x > 1/sqrt(2), the answer is pi - 2*sin inverse(x).

Composition: sin(cos inverse x)

#6
sin(cos1x)=1x2,cos(sin1x)=1x2,tan(sin1x)=x1x2\sin(\cos^{-1}x) = \sqrt{1-x^2}, \quad \cos(\sin^{-1}x) = \sqrt{1-x^2}, \quad \tan(\sin^{-1}x) = \frac{x}{\sqrt{1-x^2}}

💡 Draw a right triangle with the known side to find the other trig ratio. If cos inverse(x) = theta, then cos(theta) = x, so sin(theta) = sqrt(1 - x^2).

Domain Restrictions

#7
sin1x:x[1,1],cos1x:x[1,1],tan1x:xR,cosec1x:x1,sec1x:x1\sin^{-1}x: x \in [-1,1], \quad \cos^{-1}x: x \in [-1,1], \quad \tan^{-1}x: x \in \mathbb{R}, \quad \cosec^{-1}x: |x| \ge 1, \quad \sec^{-1}x: |x| \ge 1

💡 cosec inverse and sec inverse have domains |x| >= 1 (excludes the interval (-1, 1)). cot inverse has domain all real numbers. These domain checks are often the first step in solving problems.

Derivative of Inverse Trig Functions

#8
ddxsin1x=11x2,ddxtan1x=11+x2,ddxcos1x=11x2\frac{d}{dx}\sin^{-1}x = \frac{1}{\sqrt{1-x^2}}, \quad \frac{d}{dx}\tan^{-1}x = \frac{1}{1+x^2}, \quad \frac{d}{dx}\cos^{-1}x = -\frac{1}{\sqrt{1-x^2}}

💡 The derivative of cos inverse is the negative of sin inverse's derivative. Similarly, cot inverse's derivative is the negative of tan inverse's. These are essential for integration as well.

tan inverse Difference Formula

#9
tan1xtan1y=tan1xy1+xy,xy>1\tan^{-1}x - \tan^{-1}y = \tan^{-1}\frac{x-y}{1+xy}, \quad xy > -1

💡 This is the difference version of the sum formula. The condition xy > -1 ensures the result is in (-pi/2, pi/2). Used heavily in telescoping series problems.

Telescoping tan inverse Series

#10
r=1ntan111+r+r2=r=1n[tan1(r+1)tan1r]=tan1(n+1)π4\sum_{r=1}^{n} \tan^{-1}\frac{1}{1+r+r^2} = \sum_{r=1}^{n} \left[\tan^{-1}(r+1) - \tan^{-1}r\right] = \tan^{-1}(n+1) - \frac{\pi}{4}

💡 The key trick: 1/(1 + r + r^2) = ((r+1) - r)/(1 + r(r+1)). This makes each term a difference of two tan inverse values, leading to telescoping cancellation.

Not recognizing the telescoping pattern. Always try to express the general term as tan inverse(something) - tan inverse(something else) using the difference formula.
18

Sets, Relations & Functions

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Union of Two Sets (Inclusion-Exclusion)

#1
n(AB)=n(A)+n(B)n(AB)n(A \cup B) = n(A) + n(B) - n(A \cap B)

💡 For three sets: n(A union B union C) = n(A) + n(B) + n(C) - n(A cap B) - n(B cap C) - n(A cap C) + n(A cap B cap C). Always subtract the pairwise overlaps and add back the triple overlap.

Forgetting to subtract n(A cap B) and double-counting elements in the intersection.

De Morgan's Laws

#2
(AB)=ABand(AB)=AB(A \cup B)' = A' \cap B' \quad \text{and} \quad (A \cap B)' = A' \cup B'

💡 Complement of union is intersection of complements. Complement of intersection is union of complements. These hold for any number of sets.

Swapping the operations: writing (A union B)' = A' union B' instead of A' cap B'.

Reflexive, Symmetric, Transitive Conditions

#3
Reflexive: (a,a)R  aASymmetric: (a,b)R(b,a)RTransitive: (a,b),(b,c)R(a,c)R\text{Reflexive: } (a, a) \in R \; \forall a \in A \quad | \quad \text{Symmetric: } (a,b) \in R \Rightarrow (b,a) \in R \quad | \quad \text{Transitive: } (a,b), (b,c) \in R \Rightarrow (a,c) \in R

💡 Reflexive requires every element to be related to itself. Symmetric requires the relation to work both ways. Transitive requires chains to close. Check each condition independently.

Assuming that a relation with some (a, a) pairs is reflexive. It must hold for ALL elements of the set.

Equivalence Class

#4
[a]={xA:(a,x)R}[a] = \{x \in A : (a, x) \in R\}

💡 The equivalence class of a is the set of all elements related to a. Equivalence classes partition the set into disjoint, exhaustive subsets. Two elements have the same equivalence class if and only if they are related.

One-One (Injective) and Onto (Surjective) Definitions

#5
One-one: f(a)=f(b)a=bOnto: yB,xA s.t. f(x)=y\text{One-one: } f(a) = f(b) \Rightarrow a = b \quad | \quad \text{Onto: } \forall y \in B, \exists x \in A \text{ s.t. } f(x) = y

💡 One-one means no two distinct inputs give the same output. Onto means every element of the codomain is hit. A function that is both one-one and onto is called bijective.

Confusing one-one with onto. One-one is about distinct inputs giving distinct outputs. Onto is about the range equalling the codomain.

Domain of Composite Function

#6
dom(gf)={xdom(f):f(x)dom(g)}\text{dom}(g \circ f) = \{x \in \text{dom}(f) : f(x) \in \text{dom}(g)\}

💡 For g(f(x)) to exist, x must be in the domain of f AND f(x) must be in the domain of g. Always check both conditions.

Computing the domain of g(f(x)) by only checking where g is defined, without verifying that f(x) falls in g's domain.

Inverse Function Existence

#7
f1 exists    f is bijective (one-one and onto)f^{-1} \text{ exists} \iff f \text{ is bijective (one-one and onto)}

💡 Only bijective functions have inverses. If f is one-one but not onto, restrict the codomain to the range to make it bijective. If f is onto but not one-one, no inverse exists.

Trying to find the inverse of a function that is not one-one. For example, f(x) = x^2 on R has no inverse because f(2) = f(-2).

Number of Relations on a Set

#8
Number of relations from A to B=2n(A)n(B)\text{Number of relations from } A \text{ to } B = 2^{n(A) \cdot n(B)}

💡 A relation from A to B is any subset of A x B. Since A x B has n(A)*n(B) elements, the number of subsets is 2^(n(A)*n(B)). For a relation on set A (from A to A), this becomes 2^(n(A)^2).

Number of Onto Functions (Surjections)

#9
Onto functions from A to B=k=0n(1)knCk(nk)m\text{Onto functions from } A \text{ to } B = \sum_{k=0}^{n} (-1)^k \cdot {}^{n}C_k \cdot (n-k)^m

💡 Here m = n(A) and n = n(B) with m >= n. This uses inclusion-exclusion. For n(B) = 2: onto functions = 2^m - 2. For n(B) = 3: onto functions = 3^m - 3*2^m + 3.

Using the formula when m < n. There are no onto functions when the domain is smaller than the codomain.

Floor and Ceiling Functions

#10
x=greatest integerxx=least integerx\lfloor x \rfloor = \text{greatest integer} \leq x \quad | \quad \lceil x \rceil = \text{least integer} \geq x

💡 Also called the greatest integer function [x]. For negative numbers: floor(-2.3) = -3, not -2. The fractional part {x} = x - floor(x) always satisfies 0 <= {x} < 1.

Computing floor(-2.3) as -2 instead of -3. The floor function rounds towards negative infinity, not towards zero.
19

Statistics

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Arithmetic Mean (Direct Method)

#1
xˉ=xinorxˉ=fixifi\bar{x} = \frac{\sum x_i}{n} \quad \text{or} \quad \bar{x} = \frac{\sum f_i x_i}{\sum f_i}

💡 For frequency distribution, multiply each observation by its frequency. Always check if grouped or ungrouped.

Weighted Mean

#2
xˉw=wixiwi\bar{x}_w = \frac{\sum w_i x_i}{\sum w_i}

💡 Used when different observations carry different importance (weights). Reduces to arithmetic mean when all weights are equal.

Median (Grouped Data)

#3
Median=l+(N2Ff)×h\text{Median} = l + \left(\frac{\frac{N}{2} - F}{f}\right) \times h

💡 l = lower limit of median class, N = total frequency, F = cumulative frequency before median class, f = frequency of median class, h = class width.

Using the wrong class as the median class. The median class is where cumulative frequency first exceeds N/2.

Mode (Grouped Data)

#4
Mode=l+(f1f02f1f0f2)×h\text{Mode} = l + \left(\frac{f_1 - f_0}{2f_1 - f_0 - f_2}\right) \times h

💡 f₁ = frequency of modal class, f₀ = frequency of class before modal class, f₂ = frequency of class after modal class.

Variance

#5
σ2=fi(xixˉ)2N=fixi2Nxˉ2\sigma^2 = \frac{\sum f_i(x_i - \bar{x})^2}{N} = \frac{\sum f_i x_i^2}{N} - \bar{x}^2

💡 The second form (shortcut) avoids computing deviations. Var = E(X²) - [E(X)]². Always non-negative.

Forgetting to subtract the square of the mean. Writing Var = E(X²) - E(X) instead of E(X²) - [E(X)]².

Standard Deviation

#6
σ=σ2=fixi2Nxˉ2\sigma = \sqrt{\sigma^2} = \sqrt{\frac{\sum f_i x_i^2}{N} - \bar{x}^2}

💡 SD is in the same units as the data. Variance is in squared units. SD = sqrt(Variance).

Combined Mean

#7
xˉ12=n1xˉ1+n2xˉ2n1+n2\bar{x}_{12} = \frac{n_1 \bar{x}_1 + n_2 \bar{x}_2}{n_1 + n_2}

💡 Weighted by group sizes. Extends to k groups: numerator = sum of (nᵢ times mean of group i).

Combined Variance

#8
σ122=n1(σ12+d12)+n2(σ22+d22)n1+n2\sigma_{12}^2 = \frac{n_1(\sigma_1^2 + d_1^2) + n_2(\sigma_2^2 + d_2^2)}{n_1 + n_2}

💡 where d₁ = x̄₁ - x̄₁₂ and d₂ = x̄₂ - x̄₁₂. The dᵢ terms account for the difference between group means and combined mean.

Effect of Change of Origin and Scale

#9
If yi=xiah, then xˉ=a+hyˉ,σx=hσy\text{If } y_i = \frac{x_i - a}{h}, \text{ then } \bar{x} = a + h\bar{y}, \quad \sigma_x = |h| \cdot \sigma_y

💡 Mean changes with both origin and scale. SD changes only with scale (not origin). Variance changes by h².

Thinking variance also shifts when a constant is added. Adding a constant changes mean but NOT variance or SD.

Mean Deviation

#10
MD(xˉ)=fixixˉN\text{MD}(\bar{x}) = \frac{\sum f_i |x_i - \bar{x}|}{N}

💡 Mean deviation about the mean. Can also compute about the median. Mean deviation about the median is always minimum.

20

Mathematical Reasoning

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Negation of a Statement

#1
p is true when p is false, and vice versa\sim p \text{ is true when } p \text{ is false, and vice versa}

💡 Negation flips the truth value. If p is 'x > 5', then ~p is 'x is not greater than 5' (i.e., x <= 5).

Conjunction (AND)

#2
pq is true only when both p and q are truep \wedge q \text{ is true only when both } p \text{ and } q \text{ are true}

💡 AND requires both parts to be true. Even one false component makes the entire conjunction false.

Disjunction (OR)

#3
pq is false only when both p and q are falsep \vee q \text{ is false only when both } p \text{ and } q \text{ are false}

💡 OR is inclusive in logic. It is true when at least one component is true.

Conditional (If-Then)

#4
pqpqp \to q \equiv \sim p \vee q

💡 A conditional is false ONLY when p is true and q is false. 'If it rains, the ground is wet' is false only when it rains but the ground is dry.

Students think p -> q is false when p is false. A conditional with a false hypothesis is ALWAYS true (vacuously true).

Contrapositive

#5
pqqpp \to q \equiv \sim q \to \sim p

💡 The contrapositive always has the same truth value as the original conditional. Converse (q -> p) and inverse (~p -> ~q) do NOT.

Confusing contrapositive with converse. Contrapositive: negate and swap. Converse: just swap (not equivalent).

Biconditional (If and Only If)

#6
pq(pq)(qp)p \leftrightarrow q \equiv (p \to q) \wedge (q \to p)

💡 Biconditional is true when both p and q have the same truth value (both true or both false).

De Morgan's Laws for Logic

#7
(pq)pq(pq)pq\sim(p \wedge q) \equiv \sim p \vee \sim q \quad | \quad \sim(p \vee q) \equiv \sim p \wedge \sim q

💡 Negation of AND becomes OR (with negated parts). Negation of OR becomes AND (with negated parts). Swap the connective and negate each component.

Negation of Quantifiers

#8
(x,P(x))x,P(x)(x,P(x))x,P(x)\sim(\forall x, P(x)) \equiv \exists x, \sim P(x) \quad | \quad \sim(\exists x, P(x)) \equiv \forall x, \sim P(x)

💡 Negation of 'for all' becomes 'there exists ... not'. Negation of 'there exists' becomes 'for all ... not'. Swap the quantifier and negate the predicate.

Principle of Mathematical Induction

#9
P(1) is true[P(k) trueP(k+1) true]    P(n) true nNP(1) \text{ is true} \wedge [P(k) \text{ true} \Rightarrow P(k+1) \text{ true}] \implies P(n) \text{ true } \forall \, n \in \mathbb{N}

💡 Two steps: (1) Base case: verify P(1). (2) Inductive step: assume P(k) and prove P(k+1). Both steps are mandatory.

Forgetting to verify the base case. Without it, the induction hypothesis has no foundation.

Strong Induction

#10
[P(1)P(2)P(k)P(k+1)]    P(n) true n[P(1) \wedge P(2) \wedge \ldots \wedge P(k) \Rightarrow P(k+1)] \implies P(n) \text{ true } \forall \, n

💡 In strong induction, assume P(m) is true for ALL m from 1 to k, then prove P(k+1). Useful when P(k+1) depends on multiple previous cases, not just P(k).