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Chapter Review

Algebra

Algebraic Expressions and Simplification · Linear Equations · Quadratic Equations · Linear Inequalities · Word Problems and Problem Solving · Basic Matrices

Algebraic Expressions and Identities

Expressions combine variables, constants, and operations. Core identities — binomial squares, difference of squares, sum/difference of cubes — are the shortcuts for expanding and factoring.

Key Points

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    Like terms share the same variable part; combine by adding coefficients
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    — never skip the middle term
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    — applies whenever two perfect squares are subtracted
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    — use SOAP: Same sign, Opposite, Always Positive
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    Always factor out the GCF before attempting any other factorization method
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    Algebraic fractions: factor numerator and denominator first, then cancel only complete factors
Formula

Factorization Techniques

Factorization reverses expansion to reveal an expression's structure. Methods include GCF extraction, grouping (for 4+ terms), the AC method (splitting the middle term), and recognizing identity patterns.

Key Points

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    GCF first — always extract the greatest common factor before other methods
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    AC method: for , find two numbers with product and sum , then split the middle term
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    Grouping pairs terms to reveal a shared binomial factor:
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    Perfect square trinomial check: middle term
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    After grouping, always check if the remaining quadratic factors further

Linear Equations and Systems

Linear equations () have one solution; two-variable systems () are solved by substitution or elimination. Slope-intercept form reveals the line's steepness and intercept.

Key Points

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    Transpose rule: moving a term across the equals sign flips its sign
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    Clear fractions by multiplying every term by the LCD before solving
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    Substitution: isolate one variable, plug into the other equation — best when one coefficient is 1
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    Elimination: multiply to match coefficients, then add/subtract — best when both equations are in standard form
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    Parallel lines: → no solution
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    Coincident lines: all ratios equal → infinitely many solutions
Formula

Quadratic Equations — Solving Methods

Quadratics (, ) are solved by factorization (fastest when roots are rational) or the quadratic formula (always works). The discriminant determines the nature of roots without solving.

Key Points

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    Factorization: split the middle term, factor by grouping, apply zero-product property
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    Quadratic formula: — universal solver
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    : two distinct real roots; : one repeated root; : no real roots
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    If is a perfect square, roots are rational — factorization should work
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    In word problems, always reject the root that violates physical constraints (negative length, negative time)
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    Divide the entire equation by the GCD of coefficients before applying the formula
Formula

Vieta's Formulas and Forming Equations

Vieta's formulas link the sum and product of roots directly to the coefficients, enabling equation construction and answer verification without solving for individual roots.

Key Points

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    Sum of roots: — the negative sign is the most common error
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    Product of roots: — sign reveals whether roots share the same sign
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    If , roots have the same sign; if , roots have opposite signs
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    To form an equation from roots:
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    For modified roots (e.g., and ), compute the new sum and product from scratch
Formula

Linear Inequalities and Optimization

Inequalities behave like equations except when multiplying or dividing by a negative number, which reverses the sign. Linear programming finds the optimum of a linear function over a feasible region defined by inequality constraints.

Key Points

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    Multiplying/dividing by a negative flips the inequality sign: and implies
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    Strict inequalities () use dashed boundary lines; non-strict () use solid lines
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    Test point method: substitute to determine which half-plane to shade
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    Corner Point Theorem: the optimum of a linear objective over a convex region occurs at a vertex
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    Feasible region = intersection of all constraint half-planes, restricted to
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    Evaluate the objective function at every corner point — the largest is max, smallest is min
Formula

Word Problem Models

Standard word problem archetypes — distance-speed-time, work-rate, mixture/alligation, age, and partnership — each have a core equation and a systematic setup procedure.

Key Points

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    D = S × T: convert all units consistently before setting up the equation
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    Average speed over equal distances: (harmonic mean, not arithmetic)
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    Combined work: , or shortcut
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    Alligation cross: ratio — mixture value must lie between components
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    Partnership: profit ratio = (investment × time) ratio for each partner
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    Clock angle: ; train crossing:
Formula

Matrix Operations and Systems

Matrices organize data into grids. Addition is element-by-element (same size required); multiplication uses row-column dot products (inner dimensions must match). The determinant and inverse enable solving systems via .

Key Points

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    Dimension rule for multiplication: — inner dimensions must match
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    Matrix multiplication is NOT commutative: in general
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    2×2 determinant: ; if zero, the matrix is singular (no inverse)
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    3×3 determinant: cofactor expansion along any row, alternating signs (+, −, +, ...)
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    Inverse of 2×2: swap the diagonal, negate off-diagonal, divide all by
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    System solution: gives only when
Formula

Formulas

Difference of Squares

Two perfect squares subtracted factor into a conjugate pair

Quadratic Formula

Universal solver for any quadratic equation

Discriminant

Determines the nature of roots without solving

Vieta's Formulas

Sum and product of roots from coefficients

Sum and Difference of Cubes

Factorization of $a^3 \pm b^3$ into linear and quadratic factors

2×2 Determinant and Inverse

Determinant checks invertibility; inverse solves matrix systems

Alligation Ratio

Mixing ratio from component values and target mixture value

Combined Work Time

Time for two workers together from their individual times