Algebra 2
Systems, Matrices, and Inequalities flashcards
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- In Systems of Equations in Two and Three Variables, what does common solution mean?Systems of Equations in Two and Three Variables
- A simultaneous assignment of unknowns.
- Does satisfying one equation suffice?Systems of Equations in Two and Three Variables
- No, check every equation in the system.
- In Systems of Equations in Two and Three Variables, what does elimination mean?Systems of Equations in Two and Three Variables
- A variable-removal method for systems.
- Why scale every term of a row?Systems of Equations in Two and Three Variables
- Scaling only part of an equation changes its solutions.
- In Systems of Equations in Two and Three Variables, what does consistency and meaning mean?Systems of Equations in Two and Three Variables
- Classification of simultaneous constraints.
- Why check contextual restrictions?Systems of Equations in Two and Three Variables
- A mathematical answer may be impossible in the real problem.
- In Matrices and Operations, what does matrix dimensions mean?Matrices and Operations
- The shape and compatibility of a rectangular array.
- What shape is an (m×n)(n×p) product?Matrices and Operations
- m×p.
- In Matrices and Operations, what does addition and scalar multiplication mean?Matrices and Operations
- Entrywise addition and scalar scaling.
- Can a 2×3 matrix be added to a 3×2 matrix?Matrices and Operations
- No, their shapes differ.
- In Matrices and Operations, what does matrix multiplication mean?Matrices and Operations
- The row-column rule for a product entry.
- Is AB always BA?Matrices and Operations
- No, order can change or make a product undefined.
- In Solving Systems with Matrices, what does augmented matrix mean?Solving Systems with Matrices
- A coefficient table with a separated constant column.
- Why keep variable order fixed?Solving Systems with Matrices
- A swapped column would represent a different system.
- In Solving Systems with Matrices, what does elementary row operations mean?Solving Systems with Matrices
- Reversible transformations of a linear system.
- Why prohibit scaling a row by zero?Solving Systems with Matrices
- It destroys information and cannot be reversed.
- In Solving Systems with Matrices, what does back-substitution mean?Solving Systems with Matrices
- Recovering unknowns from an equivalent row-reduced system.
- Why check the original equations?Solving Systems with Matrices
- Entry or arithmetic errors can occur during row operations.
- In Systems of Inequalities, what does boundary lines mean?Systems of Inequalities
- Graphical boundaries of inequality regions.
- When is the boundary included?Systems of Inequalities
- When ≤ or ≥ is used.
- In Systems of Inequalities, what does feasible region mean?Systems of Inequalities
- The common allowable region of all constraints.
- Does satisfying one inequality suffice?Systems of Inequalities
- No, every constraint must hold.
- In Systems of Inequalities, what does checking points mean?Systems of Inequalities
- Algebraic verification of a graph solution.
- Why check boundary points separately?Systems of Inequalities
- Strict signs exclude equality but inclusive signs allow it.
- In Linear Optimization in Context, what does objective function mean?Linear Optimization in Context
- A target expression to maximize or minimize.
- Why state objective units?Linear Optimization in Context
- They tell what an extreme value actually measures.
- In Linear Optimization in Context, what does feasible vertices mean?Linear Optimization in Context
- Candidate extremum points under linear constraints.
- Can an entire edge tie?Linear Optimization in Context
- Yes, when the objective is parallel to that edge.
- In Linear Optimization in Context, what does model limitations mean?Linear Optimization in Context
- Restrictions beyond a continuous linear model.
- Why not round an optimum automatically?Linear Optimization in Context
- Rounding can violate one of the constraints.
