Definition 1.1.1 · Mean/Average
Learn it:Definition 18.0.1 · Mean/AverageSection 18.0a Mean, Median and Mode
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Means, sequences and series, rates, systems, polynomials and Vieta, factorizations, floor functions and inequalities: every algebra formula in one place.
Book pages 6–32 · 89 entries
Learn it:Definition 18.0.1 · Mean/AverageSection 18.0a Mean, Median and Mode
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Learn it:Definition 18.0.3 · Mode
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There could be multiple modes. If the problem says "unique mode", it means that there is only one mode.
Learn it:Remark 18.0.4
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After arranging the numbers in increasing or decreasing order:
Learn it:Definition 18.0.2 · Median
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The harmonic mean of the numbers is
This means the harmonic mean is
Learn it:Definition 18.0.6 · Harmonic MeanSection 18.0b Other Means
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An arithmetic sequence is a sequence of numbers with the same difference between consecutive terms.
is an arithmetic sequence because there is always a difference of between consecutive terms.
Learn it:Definition 15.0.1 · Arithmetic SequenceSection 15.0 Arithmetic Sequences
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An arithmetic sequence can also have a negative common difference. For example, in the arithmetic sequence
the common difference is .
Learn it:Remark 15.0.2
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In general, the terms of an arithmetic sequence can be represented as
where
Learn it:Definition 15.0.3 · Arithmetic Sequence Notation
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which means the th term of an arithmetic sequence is
We also have
which means
Learn it:Theorem 15.0.4 · $n$th Term in an Arithmetic Sequence
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Essentially,
Learn it:Theorem 15.0.5 · Number of Terms in an Arithmetic Sequence
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which essentially means
Learn it:Theorem 15.0.6 · Average of Terms in an Arithmetic Sequence
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which essentially means
We can also substitute to get
Learn it:Theorem 15.0.7 · Sum of All Terms in an Arithmetic Sequence
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A geometric sequence is a sequence of numbers with the same ratio between consecutive terms.
is a geometric sequence because there is always a ratio of between consecutive terms.
Learn it:Definition 16.0.1 · Geometric SequenceSection 16.0a Terms of a Geometric Sequence
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In general, the terms of a geometric sequence can be represented as
where
Learn it:Definition 16.0.2 · Geometric Sequence Notation
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A geometric sequence can also have a negative common ratio. For example, the sequence has a common ratio of .
Learn it:Remark 16.0.3
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which means
A general form for calculating the th term is
which means
Learn it:Theorem 16.0.4 · nth Term in a Geometric Sequence
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For , ,
Essentially, the number of terms is more than the number of times we need to multiply by to get .
Learn it:Section 16.0a Terms of a Geometric Sequence
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For ,
which essentially means
Learn it:Theorem 16.0.5 · Sum of All Terms in a Finite Geometric SequenceSection 16.0b Geometric Series
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For ,
Learn it:Theorem 16.0.6 · Sum of All Terms in an Infinite Geometric Sequence
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The formula only works for because if the sum diverges (essentially, it is infinite or never settles). We can only find the sum of a converging geometric sequence, whose sum approaches a constant value. Some examples:
Learn it:Remark 16.0.7
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Learn it:Theorem 17.0.1 · Sum of numbers formulaSection 17.0 Sums of Powers
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In simple terms, the sum of the first odd numbers is .
Learn it:Theorem 17.0.2 · Sum of odd numbers formula
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To think about it intuitively, just take out of each term:
In simple terms, the sum of the first even numbers is the sum of the first numbers.
Learn it:Theorem 17.0.3 · Sum of even numbers formula
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Learn it:Theorem 17.0.4 · Sum of squares formula
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Learn it:Theorem 17.0.5 · Sum of cubes formula
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Expand the first few and last few terms, and cancel out any terms you see.
Learn it:Concept 17.1.1 · TelescopingSection 17.1 Telescoping
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Generally, whenever you have long expressions that seem to be hard or impossible to compute manually, telescoping is probably at play.
Learn it:Remark 17.1.2
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Partial fraction decomposition is a telescoping technique in which you split terms into multiple terms so that terms cancel. In general, to find the partial fraction decomposition of for any expressions and , we write the equation
and then solve for and . For example, the partial fraction decomposition of
(in this case and ) is
Using partial fraction decomposition, we can telescope and evaluate expressions easily.
Learn it:Section 17.1 Telescopingundefined 17.2.8
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Equivalently,
Learn it:Theorem 20.0.1 · Distance, Speed and TimeSection 20.0a Distance, Speed and Average Speed
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Learn it:Theorem 20.0.2 · Average Speed
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A common mistake is to assume that average speed is the average of all the speeds (especially when the distance you travel at each of those speeds is the same). Remember, that's not true unless you travel at those speeds for the same amount of time!
Learn it:Remark 20.0.3 · The Average-Speed Trap
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Equivalently,
Learn it:Theorem 19.1.1 · Work, Rate and TimeSection 19.1 Work and Rate
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This is one of the most common topics on the AMC 10 especially. The trick to solving these problems is to assign variables to the unknowns in the problem and solve.
Learn it:Section 19.0 Setting Up Systems
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Once you've found the system of equations in your word problem (or the problem gives you a system of equations), consider one or more of the following methods for solving it.
Substitution
Elimination
Diagonal Product Method (only for 2-variable equations)
Adding/Subtracting Equations
Be on the lookout for common factorization tricks (see Section 1.10)
Constructing polynomials from your equations using Vieta's Formulas (see Section 1.9)
Graphing your equations (we recommend graph paper)
Using symmetry
Creating a geometric setup using geometric formulas such as the
(See the geometry chapter for these formulas.)
Learn it:Concept 12.5.1 · Algebraic Equations TechniquesSection 19.0 Setting Up Systems
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In the quadratic formula,
(the part inside the square root) is the discriminant of the quadratic.
Learn it:Concept 13.1.2 · DiscriminantSection 13.1a Quadratics: Formula, Discriminant and Vieta
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Also note that a quadratic (with integer coefficients) can only have integer solutions if the discriminant is a perfect square.
Learn it:Concept 13.1.2 · Discriminant
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The solutions to the quadratic equation
are
Learn it:Theorem 13.1.1 · Quadratic Formula
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In a quadratic equation
the sum of its roots is
and the product of its roots is
Learn it:Theorem 13.1.3 · Vieta's Formula For Quadratics
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In a polynomial
with roots , the following hold:
Note that the signs alternate: a sum of products of an odd number of roots gets a minus sign, and an even number gets a plus sign.
Learn it:Theorem 13.1.4 · Vieta's Formula For Higher Degree PolynomialsSection 13.1b Vieta for Higher-Degree Polynomials
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In a polynomial
where is nonzero and every is an integer, every rational root of the polynomial (in lowest terms) has
Essentially,
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In a polynomial
where is nonzero and every is an integer, all integer roots of the polynomial must divide , the constant term of the polynomial.
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This means that for polynomials with integer coefficients and a leading coefficient of (monic polynomials), the only rational roots are integers.
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The remainder when a polynomial is divided by is .
Learn it:Theorem 14.1.5 · Remainder TheoremSection 14.1 Polynomial Root Representation
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divides a polynomial if .
This is a direct consequence of the Remainder Theorem.
Learn it:Corollary 14.1.6 · Factor Theorem
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A polynomial
can be expressed in the form
where are the roots of the polynomial.
Learn it:Theorem 14.1.1 · Representation of a Polynomial in Terms of Its RootsConcept 14.1.3 · Evaluating a Product of Differences
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A polynomial
(with leading coefficient ) can be expressed in the form
where are the roots of the polynomial.
Learn it:Corollary 14.1.2 · Representation of a Monic Polynomial in Terms of Its Roots
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A polynomial of degree (its largest term has power ) has complex roots, counted with multiplicity. For example, a double root counts as roots.
Learn it:Theorem 14.1.4 · Fundamental Theorem of AlgebraDefinition 44.2.1
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If (with , real) is a root of a polynomial with real coefficients, then is a root too.
Learn it:Definition 44.2.1Section 44.2 Complex Numbers in Polynomials
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If is a root of a polynomial with rational coefficients, where , , are rational and is irrational, then is a root too.
The book does not require to be irrational (or , rational). Without that the statement fails: is a root of , but is not.
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If the polynomial
has roots , then
has roots
Essentially, when you flip the coefficients of a polynomial, its roots become the reciprocals of the original roots.
Learn it:Concept 14.3.1 · Reciprocal RootsSection 14.3 Polynomial Manipulations
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If the polynomial
has roots , then
has roots
Learn it:Concept 14.3.2 · Roots That Are More or Less
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Remember: if the roots are more, then we subtract from each in our polynomial.
Learn it:Remark 14.3.3
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Polynomial manipulations are useful when evaluating complicated expressions in the roots. For example, to evaluate
for a polynomial with roots , rather than expanding it out and bashing with Vieta's Formulas, we can construct a new polynomial with roots
by the above methods and then simply find the sum of the roots of that polynomial.
Learn it:Remark 14.3.4
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Let the polynomial
have roots , and let
Then the following hold:
Note that whenever is negative, as that might show up in your expansion.
Essentially, this says:
Step 2 of the book's recipe says to multiply by the next coefficient; it means (the power sums go down by one at each step, as in the equations above).
Learn it:Theorem 14.3.5 · Newton Sums
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If
then
Learn it:Theorem 12.1.3
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A polynomial
is symmetric if
Basically, opposite coefficients are equal.
Learn it:Definition 14.2.1 · Symmetric PolynomialsSection 14.2 Symmetric Polynomials
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To solve a symmetric polynomial of even degree:
and write all the terms in your expression that way.
Learn it:Concept 14.2.2 · Solving Symmetric Polynomials of Even Degree
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Note that with the Newton Sum equations we can calculate each iteratively, one after another, rather than having to bash with Vieta's Formulas.
Learn it:Remark 14.3.6
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For :
Learn it:Theorem 12.0.1 · Exponent RulesSection 12.0 Exponent Rules
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Learn it:Theorem 12.2.1 · Difference of SquaresSection 12.2 Quadratic Factorizations
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Learn it:Theorem 12.1.1 · Binomial Square ExpansionsSection 12.1 Binomial Expansions
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Learn it:Theorem 12.4.2 · Simon's Favorite Factoring TrickTheorem 25.3.1 · Simon's Favorite Factoring TrickSection 25.3 Simon's Favorite Factoring Trick
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You can generally apply this factorization when you have , , and terms. After applying the factorization, you can then find all possible values for each of the factors (remember negatives!).
Learn it:Remark 12.4.3Remark 25.3.2
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Learn it:Theorem 12.3.1 · Difference of CubesSection 12.3 Cubic Factorizations
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Learn it:Theorem 12.3.2 · Sum of Cubes
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Learn it:Theorem 12.1.2 · Binomial Cube Expansions
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Sum of odd powers:
The signs in the second factor alternate between positive and negative.
Difference of powers:
The signs in the second factor are all positive.
Learn it:Theorem 12.4.1 · nth Power FactorizationsTheorem 25.4.1 · nth Power FactorizationsSection 12.4 Higher Power Factorizations
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Learn it:Theorem 25.5.1 · Sophie Germain's IdentitySection 25.4 Higher Powers and Sophie Germain
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Be on the lookout for 4th powers to apply Sophie Germain's Identity!
Learn it:Remark 25.5.2
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Here are some ideas for algebraic manipulation:
appears multiple times in your expression, just let
to simplify it.
Learn it:Concept 12.5.1 · Algebraic Equations TechniquesSection 12.5 Algebraic Equations
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Learn it:Definition 39.0.1 · Floor, Ceiling, and Fractional Part FunctionsSection 39.0 Floor, Ceiling and Fractional Part
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Common Floor and Ceiling Problem Techniques. Most floor and ceiling problems can be solved using these techniques.
Learn it:Concept 39.0.2 · Common Floor and Ceiling Problem Techniques
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For real ,
This means all perfect squares are or more.
Learn it:Theorem 40.1.1 · Trivial InequalitySection 40.1 Trivial Inequality
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In a quadratic ,
Learn it:Corollary 40.1.2 · Completing the Square
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Simple, yet powerful. This is the core of all inequalities and how more advanced inequalities are derived.
The rest of the inequalities are optional for the AMC 10 but are still good to know.
Learn it:Remark 40.1.3
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For non-negative reals and ,
Basically, this means the average of non-negative numbers (arithmetic mean) is always at least as big as the square root of the product of the numbers (the geometric mean).
Equality occurs when .
Learn it:Theorem 40.2.1 · AM-GM Inequality For 2 variablesSection 40.2 AM-GM
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For , the minimum value of is and occurs when .
The book states this without a condition on . It needs : for , .
Learn it:Corollary 40.2.2
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For positive and :
The book gives no domain. The first bullet needs : with fixed, gives , and , gives an even smaller sum .
Learn it:Corollary 40.2.2
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For non-negative reals ,
Equality occurs when (all the variables are equal).
Another way to say this is
The book's restatement in words has an equals sign, “Average of numbers ”; it should be (equality only when all the numbers are equal).
Learn it:Theorem 40.2.3 · AM-GM Inequality For More Variables
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This means in general,
Essentially,
Learn it:Remark 40.2.4
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Generally, we use AM-GM to maximize products or minimize sums.
Learn it:Remark 40.2.5
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For non-negative reals , ,
Learn it:Theorem 40.2.6 · Weighted AM-GM Inequality
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Weighted AM-GM is very similar to AM-GM. One way to visualize weighted AM-GM is that there are terms which are all equal to . So instead of writing ( times) in our sum we simply write , and instead of writing ( times) in our product we simply write .
Learn it:Remark 40.2.7
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We use weighted AM-GM when we are trying to make the sum of all terms a constant by multiplying weights to all (or some) of the terms. Remember to divide by the weights you multiplied at the end.
Learn it:Remark 40.2.8
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For reals and ,
This means
Equality holds when the ratio is the same for all .
Learn it:Theorem 40.3.1 · Cauchy-SchwarzSection 40.3 Cauchy-Schwarz
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If you ever forget which way the sign faces, just try a small example like , , , and .
Learn it:Remark 40.3.2
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You generally want to apply Cauchy-Schwarz when you are dealing with sums of squares.
Learn it:Remark 40.3.3
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For reals and positive reals ,
Alternately (for non-negative ),
Note that this is a direct consequence of Cauchy-Schwarz.
The book says “for reals and ”. The must be positive (and the non-negative in the square-root form): with and the left side is but the right side is .
Learn it:Corollary 40.3.4 · Titu's Lemma
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Steps to find the maximum/minimum of expressions:
Learn it:Concept 40.3.5 · Techniques For Optimization Problems
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