📐Algebra and Trigonometry Unit 11 – Systems of Equations & Inequalities
Systems of equations and inequalities are fundamental tools in algebra, allowing us to solve complex problems involving multiple variables. These systems range from simple linear equations to more complex nonlinear forms, each requiring specific solving techniques like substitution, elimination, or graphing.
Applications of these systems are widespread, from economics to physics. Understanding how to manipulate and solve these systems is crucial for modeling real-world scenarios, optimizing processes, and making informed decisions based on mathematical analysis.
Study Guides for Unit 11
Key Concepts
Systems of equations involve multiple equations with shared variables that must be solved simultaneously
Inequalities express a range of values rather than a specific solution and can also be combined into systems
Linear systems consist of first-degree equations while nonlinear systems include higher-degree terms
Substitution and elimination are two primary algebraic methods for solving systems of equations
Substitution involves isolating a variable in one equation and plugging it into the other
Elimination adds or subtracts equations to cancel out a variable
Graphing systems of equations reveals the point(s) of intersection which represent the solution(s)
Matrices can be used to solve systems of equations through row reduction and Gaussian elimination
Systems of inequalities are solved graphically, with overlapping shaded regions indicating the solution set
Applications of systems range from simple cost problems to complex modeling in physics and engineering
Types of Systems
Two-variable systems are the most common, consisting of two equations with variables x and y
Example: x+y=10 and 2x−y=4
Three-variable systems introduce a third variable z and require three equations to solve
Example: x+y+z=6, 2x−y+z=5, and x−2y−z=1
Nonlinear systems include equations with higher powers, radicals, or trigonometric functions
Example: x2+y2=25 and y=sin(x)
Homogeneous systems have a constant term of zero in every equation, always including the trivial solution (0,0)
Inconsistent systems have no solution, represented graphically by parallel lines that never intersect
Dependent systems have infinitely many solutions, represented by overlapping lines or planes
Solving Linear Systems
Substitution method isolates one variable to plug into the other equation(s)
Solve one equation for a variable (e.g., y=3x+2)
Substitute the expression into the other equation and solve for the remaining variable
Back-substitute the value to find the other variable(s)
Elimination method adds or subtracts equations to cancel out a variable
Multiply equations by constants to make coefficients of one variable opposites
Add the equations to eliminate the variable
Solve the resulting equation and back-substitute to find the other variable(s)
Matrices can solve systems using augmented matrices and row reduction
Augmented matrix combines the coefficient matrix and constant vector
Row reduction uses elementary row operations to convert the matrix to row echelon form
Back-substitution reveals the solution from the row-reduced matrix
Graphing Systems
Graphing linear systems plots each equation as a line, with the point(s) of intersection representing the solution(s)
Consistent systems have one solution (intersecting lines) or infinitely many (overlapping lines)
Inconsistent systems have no solution, shown by parallel lines that never intersect
Graphing nonlinear systems can result in more complex curves and multiple points of intersection
Example: Graphing a circle (x2+y2=25) and sine wave (y=sin(x)) yields two solutions
Graphing inequalities shades the region satisfying the condition, with solid lines for ≤ or ≥ and dashed for < or >
Systems of inequalities are solved by graphing each inequality and finding the overlapping shaded region(s)
The solution set includes all points within the overlapping region(s)
Applications in Real Life
Cost and revenue problems often use systems to find break-even points or optimize profit
Example: A company sells shirts and hats. Shirts cost 10tomakeandsellfor25, while hats cost 5andsellfor15. If they have a budget of 1000andwanttomakeatleast2000 in revenue, a system can determine how many of each to produce.
Physics problems use systems to model motion, forces, and energy
Example: A boat crosses a river with a current. The boat's velocity and the current's velocity can be represented as vectors, forming a system to determine the boat's resultant path.
Chemistry problems involve balancing reactions and solving concentration mixtures
Example: A chemist has a 30% acid solution and a 50% solution. A system can determine how much of each to mix to obtain a desired volume and concentration.
Geometry problems apply systems to find measurements of shapes and angles
Example: Finding the dimensions of a rectangle given its perimeter and area forms a system of equations.
Inequalities and Their Systems
Inequalities use <, >, ≤, or ≥ to express a range of values rather than a specific solution
Example: 2x−3<7 represents all values of x less than 5
Graphing inequalities shades the region satisfying the condition, with the line type (solid or dashed) determined by the inequality symbol
Systems of inequalities combine multiple inequalities to find a common solution set
The solution set is represented graphically by the overlapping shaded regions
Example: y>x+1 and y<2x−3 form a system with a solution set bounded by the two lines
Linear programming optimizes an objective function subject to a system of constraints (inequalities)
The constraints form a feasible region, with the optimal solution occurring at a vertex or along an edge
Applies to problems in business, economics, and resource allocation
Advanced Techniques
Cramer's Rule uses determinants to solve systems of equations
For a 2x2 system, x=∣A∣∣Ax∣ and y=∣A∣∣Ay∣, where A is the coefficient matrix and Ax, Ay replace a column of A with the constant terms
Extends to larger systems using higher-order determinants
Partial fractions decomposition breaks down rational expressions into simpler terms
Useful for solving systems involving fractions or integrating rational functions
Example: (x−1)(x+2)2x+3 can be decomposed into x−1A+x+2B
Nonlinear systems can be solved using substitution, graphing, or advanced methods like Newton's method or the Jacobian matrix
Newton's method iteratively approximates solutions using derivatives and linear approximations
The Jacobian matrix generalizes Newton's method to higher dimensions
Common Pitfalls and Tips
Always check the solution by plugging it back into the original equations
Be careful when multiplying or dividing inequalities by negative numbers, as it reverses the inequality sign
When graphing systems, ensure the scales of the axes are consistent and appropriate for the problem
Label graphs clearly, including the equations, solution points, and shaded regions for inequalities
Double-check the algebra when solving, especially signs and distribution of terms
Consider the context of the problem when interpreting solutions, discarding extraneous or nonsensical results
Example: A negative number of items produced or time elapsed may be mathematically valid but practically impossible
Recognize special cases, such as inconsistent or dependent systems, to avoid wasted effort trying to solve them algebraically
Practice various techniques to build fluency and identify the most efficient method for a given problem