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Differentiate both sides with respect to x, treating y as a function of x (so y terms pick up a dxdy), then solve for dxdy.
Limit definition of the derivative
f′(x)=limh→0hf(x+h)−f(x).
L'Hôpital's rule
For 00 or ∞∞: limgf=limg′f′, provided the right limit exists.
Squeeze theorem
If g(x)≤f(x)≤h(x) near a and limx→ag=limx→ah=L, then limx→af=L.
Standard limit: sin x over x
limx→0xsinx=1.
Standard limit: (eˣ − 1)/x
limx→0xex−1=1.
Limit form of e
limx→∞(1+xa)x=ea.
Continuity at a point
f is continuous at a if limx→af(x)=f(a) (the limit exists and equals the function value).
Differentiable implies continuous
If f is differentiable at a it is continuous at a. The converse fails — e.g. ∣x∣ at 0.
Critical point
A point where f′(x)=0 or f′(x) is undefined; candidate for a local max, min, or inflection.
First-derivative test
At a critical point, f′ changing +→− gives a local max; −→+ gives a local min.
Second-derivative test
At f′(c)=0: f′′(c)>0 means local min; f′′(c)<0 means local max; f′′(c)=0 is inconclusive.
Concavity & inflection point
f′′>0 is concave up, f′′<0 concave down; an inflection point is where concavity changes (often f′′=0).
Mean Value Theorem
If f is continuous on [a,b] and differentiable on (a,b), some c gives f′(c)=b−af(b)−f(a).
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).
Extreme Value Theorem
A continuous function on a closed bounded interval [a,b] attains an absolute maximum and minimum on that interval.
Intermediate Value Theorem
If f is continuous on [a,b] and N lies between f(a) and f(b), then f(c)=N for some c in [a,b].
Related rates
Differentiate a relation between quantities with respect to time t, then substitute known rates to solve for the unknown rate.
Linear approximation
Near a: f(x)≈f(a)+f′(a)(x−a) — the tangent line approximates the function.
Fundamental Theorem of Calculus, Part 1
If F(x)=∫axf(t)dt then F′(x)=f(x).
Fundamental Theorem of Calculus, Part 2
∫abf(x)dx=F(b)−F(a), where F is any antiderivative of f.
Power rule for integrals
∫xndx=n+1xn+1+C for n=−1; for n=−1, ∫x1dx=ln∣x∣+C.
u-substitution
Let u=g(x), du=g′(x)dx: ∫f(g(x))g′(x)dx=∫f(u)du — the chain rule in reverse.
Integration by parts
∫udv=uv−∫vdu. Choose u by LIATE (log, inverse trig, algebraic, trig, exponential).
Integral of eˣ
∫exdx=ex+C.
Integral of 1/(1+x²)
∫1+x21dx=arctanx+C.
Integral of sin x and cos x
∫sinxdx=−cosx+C; ∫cosxdx=sinx+C.
Partial fractions
Decompose a rational function into simpler fractions whose denominators are the factors of the original denominator, then integrate term by term.
Area between two curves
∫ab[top(x)−bottom(x)]dx, where top ≥ bottom on [a,b].
Volume by disks
Revolving y=f(x) about the x-axis: V=∫abπ[f(x)]2dx.
Volume by cylindrical shells
About the y-axis: V=∫ab2πxf(x)dx.
Arc length
L=∫ab1+[f′(x)]2dx.
Average value of a function
favg=b−a1∫abf(x)dx.
Improper integral
An integral with an infinite limit or an unbounded integrand; evaluate as a limit, e.g. ∫1∞x21dx=1 (converges).
Convergence of ∫ 1/xᵖ from 1 to ∞
∫1∞xp1dx converges iff p>1.
Geometric series
n=0∑∞arn=1−ra when ∣r∣<1; diverges when ∣r∣≥1.
p-series test
n=1∑∞np1 converges iff p>1. The harmonic series (p=1) diverges.
nth-term (divergence) test
If limn→∞an=0, the series ∑an diverges. (If the limit is 0, the test is inconclusive.)
Ratio test
Let L=lim∣an+1/an∣: L<1 converges, L>1 diverges, L=1 inconclusive. Best for factorials and exponentials.
Root test
Let L=limn∣an∣: L<1 converges, L>1 diverges, L=1 inconclusive. Best when an has an nth power.
Integral test
For positive, decreasing f with an=f(n): ∑an and ∫1∞fdx both converge or both diverge.
Comparison test
If 0≤an≤bn: ∑bn converges ⇒∑an converges; ∑an diverges ⇒∑bn diverges.
Limit comparison test
If limbnan=c with 0<c<∞, then ∑an and ∑bn converge or diverge together.
Alternating series test
∑(−1)nbn converges if bn>0, bn is decreasing, and bn→0.
Absolute vs conditional convergence
Absolute: ∑∣an∣ converges. Conditional: ∑an converges but ∑∣an∣ diverges (e.g. the alternating harmonic series).
Taylor series
f(x)=n=0∑∞n!f(n)(a)(x−a)n. With a=0 it is a Maclaurin series.
Maclaurin series of eˣ
ex=n=0∑∞n!xn=1+x+2!x2+⋯ (converges for all x).
Maclaurin series of sin x
sinx=x−3!x3+5!x5−⋯.
Maclaurin series of cos x
cosx=1−2!x2+4!x4−⋯.
Geometric (Maclaurin) series of 1/(1−x)
1−x1=n=0∑∞xn for ∣x∣<1.
Radius of convergence
The value R such that a power series ∑cn(x−a)n converges for ∣x−a∣<R; often found by the ratio test.
Partial derivative
∂x∂f differentiates with respect to x, treating the other variables as constants.
Gradient vector
∇f=(∂x∂f,∂y∂f); it points in the direction of steepest increase of f.
Directional derivative
Duf=∇f⋅u, where u is a unit vector — the rate of change of f in the direction u.
Lagrange multipliers
To extremize f subject to g=c, solve ∇f=λ∇g together with the constraint.
Second-partials (Hessian) test
With D=fxxfyy−fxy2: D>0,fxx>0 min; D>0,fxx<0 max; D<0 saddle; D=0 inconclusive.
Double integral over a rectangle
∬RfdA=∫cd∫abf(x,y)dxdy — an iterated integral (Fubini's theorem).
Green's theorem
∮C(Pdx+Qdy)=∬D(∂x∂Q−∂y∂P)dA.
Stokes' theorem
∮CF⋅dr=∬S(∇×F)⋅dS — relates a line integral to the curl over the bounded surface.
Divergence theorem
∬SF⋅dS=∭V(∇⋅F)dV — flux through a closed surface equals the integral of the divergence.
Line integral of a scalar field
∫Cfds=∫abf(r(t))∣r′(t)∣dt.
Conservative vector field
F=∇φ for some potential φ; then line integrals are path-independent and ∇×F=0.
Separable differential equation
dxdy=g(x)h(y): separate to h(y)dy=g(x)dx and integrate both sides.
First-order linear ODE
y′+P(x)y=Q(x): multiply by the integrating factor μ=e∫Pdx, so (μy)′=μQ.
Exponential growth/decay ODE
dtdy=ky has solution y=y0ekt — growth if k>0, decay if k<0.
Second-order linear homogeneous ODE
ay′′+by′+cy=0: solve the characteristic equation ar2+br+c=0; roots give erx solutions.
Newton's method
xn+1=xn−f′(xn)f(xn) — iterates toward a root of f.
Curvature of a circle
A circle of radius r has constant curvature κ=r1.
Epsilon–delta definition of a limit
limx→af(x)=L means: for every ε>0 there is δ>0 with 0<∣x−a∣<δ⇒∣f(x)−L∣<ε.
Telescoping series
A series whose partial sums collapse, e.g. ∑(n1−n+11)=1.
Pythagorean trig identity
sin2θ+cos2θ=1; dividing gives 1+tan2θ=sec2θ.
Double-angle formulas
sin2θ=2sinθcosθ; cos2θ=cos2θ−sin2θ=1−2sin2θ.
Euler's formula
eiθ=cosθ+isinθ; so eiπ+1=0.
Heron's formula
Triangle area =s(s−a)(s−b)(s−c), where s=2a+b+c is the semi-perimeter.
Eigenvalue
A scalar λ with Av=λv for some nonzero v; found from det(A−λI)=0.
Eigenvector
A nonzero vector v whose direction is unchanged (up to scaling) by A: Av=λv.
Characteristic polynomial
p(λ)=det(A−λI); its roots are the eigenvalues of A.
Trace
The sum of the diagonal entries of a square matrix; it equals the sum of the eigenvalues (with multiplicity).
Determinant of a 2×2 matrix
det(acbd)=ad−bc. It equals the product of the eigenvalues.
Invertible matrix conditions
An n×n matrix is invertible iff detA=0 iff rank =n iff its columns are linearly independent iff 0 is not an eigenvalue.
Rank of a matrix
The dimension of the column space (= dimension of the row space) = number of pivots in row echelon form.
Rank–nullity theorem
For T:V→W, rank(T)+nullity(T)=dimV.
Kernel (null space)
The set of vectors v with Av=0; its dimension is the nullity.
Linear independence
Vectors are linearly independent if the only solution to c1v1+⋯+ckvk=0 is all ci=0.
Basis
A linearly independent set that spans a vector space; every vector is a unique linear combination of basis vectors.
Dimension
The number of vectors in any basis of a vector space — an invariant of the space.
Diagonalizable matrix
A=PDP−1 for a diagonal D; possible iff A has n linearly independent eigenvectors (guaranteed if all eigenvalues are distinct).
Vector space axioms
A set closed under vector addition and scalar multiplication satisfying associativity, commutativity, a zero vector, additive inverses, and the distributive/identity laws over a field.
Spectral theorem
A real symmetric matrix is orthogonally diagonalizable: it has real eigenvalues and an orthonormal basis of eigenvectors.
Orthogonal matrix
A square matrix with QTQ=I (columns orthonormal); it preserves lengths and detQ=±1.
Dot product
u⋅v=∣u∣∣v∣cosθ=∑uivi; zero means the vectors are orthogonal.
Cross product
u×v is orthogonal to both, with magnitude ∣u∣∣v∣sinθ (the area of the parallelogram they span).
Linear transformation
A map T with T(au+bv)=aT(u)+bT(v); every such map (between finite-dim spaces) is given by a matrix.
Image (range) of a linear map
The set of all outputs T(v); its dimension is the rank, and it equals the column space of the matrix.
Cramer's rule
For Ax=b with detA=0: xi=detAdetAi, where Ai replaces column i with b.
Group (definition)
A set with an associative operation, an identity element, and an inverse for each element. Abelian if the operation is also commutative.
Abelian group
A group whose operation is commutative: ab=ba for all elements. Example: the integers under addition.
Order of an element
The smallest positive n with an=e (the identity); it divides the order of the group.
Order of a group
The number of elements in the group. By Lagrange's theorem, every subgroup's order divides it.
Lagrange's theorem
In a finite group G, the order of any subgroup H divides ∣G∣; the quotient ∣G∣/∣H∣ is the index [G:H].
Cyclic group
A group generated by a single element: G=⟨a⟩={an}. Every group of prime order is cyclic.
Subgroup
A subset that is itself a group under the same operation — closed, contains the identity, and contains inverses.
Normal subgroup
N⊴G when gN=Ng (i.e. gNg−1=N) for all g; exactly the condition to form the quotient G/N.
Quotient group
G/N: the group of cosets of a normal subgroup N, with (aN)(bN)=abN. Its order is ∣G∣/∣N∣.
Coset
For a subgroup H, a left coset is gH={gh:h∈H}. Cosets partition the group into equal-size blocks.
Group homomorphism
A map ϕ:G→H with ϕ(ab)=ϕ(a)ϕ(b). An isomorphism is a bijective homomorphism.
Kernel of a homomorphism
kerϕ={g:ϕ(g)=eH} — always a normal subgroup of G; ϕ is injective iff the kernel is trivial.
First isomorphism theorem
For ϕ:G→H, G/kerϕ≅imϕ.
Symmetric group Sₙ
The group of all permutations of n elements; it has n! elements and is non-abelian for n≥3.
Cyclic group Z mod n
Z/nZ: integers under addition mod n; the order of element k is n/gcd(n,k).
Ring (definition)
A set with addition (an abelian group) and an associative multiplication that distributes over addition. With unity it has a multiplicative identity 1.
Integral domain
A commutative ring with unity and no zero divisors: ab=0⇒a=0 or b=0.
Field
A commutative ring with unity in which every nonzero element has a multiplicative inverse (e.g. Q,R,C).
Ideal
A subgroup I of a ring under addition that absorbs multiplication: rI⊆I for all r in the ring.
Quadratic formula
For ax2+bx+c=0: x=2a−b±b2−4ac.
Discriminant
b2−4ac: positive gives two real roots, zero one (repeated) root, negative two complex-conjugate roots.
Vieta's formulas (quadratic)
For ax2+bx+c=0: the roots sum to −b/a and multiply to c/a.
Rational Root Theorem
Any rational root p/q of an integer polynomial has p∣ constant term and q∣ leading coefficient.
Factor theorem
(x−r) is a factor of p(x) iff p(r)=0 (i.e. r is a root).
Recalling beats recognizing — can you produce the term from memory?
Which term matches this definition?
Roughly what share of the GRE Mathematics Subject Test is calculus?
Quiz mode turns every card into a question like this.
Click Study Flashcards above to open the flashcard hub — 200 GRE Math cards you can flip, match, type, or quiz yourself on. Every card is drawn from the ETS GRE Mathematics Subject Test content areas, so you study exactly what the test measures.[1] Pair them with our free practice test and study guide.
GRE Math Flashcard Study Modes
Most flashcard sites give you one thing: a card to flip. Ours has four modes so you can both learn the material and prove you know it — the difference between recognizing a theorem and recalling it under exam pressure.
Flip (Study) — the classic card. Flip term ↔ definition, shuffle the deck, and mark each card “Got it” or “Still learning.”
Match (Game) — a timed game: pair each term to its definition as fast as you can. Great for cementing theorems, definitions, and formulas.
Type (Recall) — read the definition and type the term. Typing forces true active recall instead of passive recognition.
Quiz (Test) — multiple-choice questions generated from the cards, so you self-test exactly like exam day.
Why Flashcards Work for the GRE Math Subject Test
Flashcards aren’t busywork — they’re built on active recall: pulling an answer out of memory strengthens it far more than re-reading notes. Pair that with spacing — short sessions across several days rather than one cram — and you retain more in less time.
The GRE Mathematics Subject Test is fast and broad: it rewards instant recall of theorems, definitions, and formulas across about three years of an undergraduate major.[2] Spaced flashcards are the most efficient way to make that knowledge automatic. Used alongside our practice test and study guide, they turn review time into measurable progress.
GRE Math Flashcards by Content Area
The cards are organized by the GRE Mathematics Subject Test’s three content areas. Drill the biggest one first — Calculus is about half the exam — then work through Algebra and the Additional Topics:[1]
GRE Math flashcards by content area
Content area
What it covers
Calculus (~50%)
Limits, derivatives, integrals, series, multivariable calculus and the vector-calculus theorems
Algebra (~25%)
Linear algebra, abstract/group theory, rings and fields, and number theory
Additional Topics (~25%)
Real analysis, point-set topology, complex variables, probability, statistics, and discrete math
How to Get the Most Out of These Flashcards
Lead with calculus. It is about half the test — lock in the derivative and integral rules, the convergence tests, and the standard Maclaurin series first.
Master the staples. Use Match and Type to drill the quadratic formula, eigenvalue conditions, Lagrange’s theorem, the Cauchy–Riemann equations, and the common distributions.
Use Type and Quiz, not just Flip. Recognizing a theorem is easy; recalling and applying it under time pressure is the real test.
Then prove it. When the cards feel easy, confirm with the full practice test — read every worked explanation before exam day.
GRE Math Flashcards FAQ
Two hundred free GRE Mathematics Subject Test flashcards, organized across all three content areas — Calculus (single- and multivariable, sequences and series), Algebra (linear algebra, abstract/group theory, and number theory), and Additional Topics (real analysis, topology, complex variables, probability, statistics, and discrete math). They're free with no account required.
Yes. Flashcards use active recall — retrieving an answer from memory — which research shows is one of the most effective study methods, especially in short, spaced sessions. Because the Subject Test rewards instant recall of theorems, definitions, and formulas across a wide curriculum, the cards are an efficient way to make that knowledge automatic.
All three content areas: Calculus (limits, derivatives, integrals, series, multivariable theorems), Algebra (matrices, eigenvalues, groups, rings, fields, and number theory), and Additional Topics (analysis, point-set topology, complex variables, and probability and statistics). The deck mirrors the way ETS organizes the test, so you study exactly what is measured.
Lead with Calculus — it is about half the exam — then drill Algebra and the Additional Topics. Mix the modes: flip to learn, type to test recall, match for speed, and quiz to check yourself before working full practice questions. Because the test is fast and rights-only, automatic recall of formulas and theorems is the goal.
Yes — 100% free, all four study modes, no paywall and no sign-up.
Yes. The cards are organized to the ETS content areas for the current GRE Mathematics Subject Test — about 66 questions in 170 minutes on a 200–990 scaled score — with roughly half the deck devoted to calculus, matching the exam's emphasis.
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