Introduction to Linear Polynomials
Foundations of Algebraic Expressions and Polynomials
An algebraic expression is a mathematical phrase created by combining constants, variables, and operational symbols (addition, subtraction, multiplication, division).
Terms of an Expression: The individual parts of an algebraic expression separated by addition or subtraction operators are called terms.
Variables (Letter-Numbers): Letters used to represent unknown or changing quantities in an algebraic expression.
Coefficients: The numerical multipliers attached to variables in a term.
Constant Terms: Terms consisting solely of numbers without any variables.
Practical Examples of Algebraic Expressions
Example 1: Item Counting (Pens and Pencils)
Sealed red boxes contain pens each.
Sealed blue boxes contain pencils each.
Purchasing red boxes and blue boxes, along with receiving free extra pens, yields the total quantity:
Breakdown of components in :
Terms: , , and
Variables: (number of red boxes) and (number of blue boxes)
Coefficients: (coefficient of ) and (coefficient of )
Constant Term:
Example 2: Cost Calculation for Fencing and Decorating a Garden
A rectangular garden has length and width .
Wire fencing along two sides of length at :
Wooden fencing along two sides of width at :
Sowing special seeds across the entire area () at :
Total cost expression:
Components:
Terms: , ,
Variables: and
Comparison to Example 1: Example 1 consists of linear variable terms and a constant term (), whereas Example 2 contains a term involving the product of two distinct variables ().
Example 3: Area of Rectangles Created from Fixed Perimeter Wire
A wire of total length is bent to form a rectangle.
The perimeter of any such rectangle is , making the semi-perimeter .
If length , the width .
Expression for rectangle area:
Breakdown:
Terms: and
Variable:
Coefficients: (coefficient of ) and (coefficient of )
Comparison: Involves a single variable () raised to power (), unlike Examples 1 and 2 which involve two variables.
Classification and Degree of Univariate Polynomials
Univariate Polynomials (One-Variable Polynomials): Algebraic expressions that involve only one variable and non-negative integer powers of that variable.
Degree of a Polynomial: The highest power exponent of the variable present in the polynomial expression.
Types of Univariate Polynomials by Degree
Constant Polynomials: Polynomials of degree .
General Form: where is a real constant.
Example:
Linear Polynomials: Polynomials of degree .
General Form: where .
Examples: , ,
Quadratic Polynomials: Polynomials of degree .
Examples: ,
Cubic Polynomials: Polynomials of degree .
Example:
Detailed Term Analysis for :
Degree:
Coefficient of :
Coefficient of :
Coefficient of :
Constant Term:
Exercise Set 2.1 Solutions
1. Find the degrees of the following polynomials:
(i) Degree (Quadratic)
(ii) Degree (Cubic)
(iii) Degree (Constant)
(iv) Degree (Linear)
2. Write polynomials of degrees 1, 2 and 3:
Degree 1:
Degree 2:
Degree 3:
3. Coefficients in :
Coefficient of :
Coefficient of :
4. Coefficient of in :
Coefficient of : (since the term is absent, written as )
5. Constant term of :
Constant term:
Core Properties of Linear Polynomials and Functions
A linear polynomial is a degree-1 polynomial expression of the form with
Key Property: When evaluating linear polynomials at consecutive integer values of the variable, the difference between successive outputs is constant.
Real-World Examples of Linear Polynomials
Example 4: Perimeter of a Square
Side length =
Perimeter formula = (a linear polynomial in )
Perimeters for side lengths , , , , and :
Side Perimeter =
Side Perimeter =
Side Perimeter =
Side Perimeter =
Side Perimeter =
Effect of Increasing Side Length: An increase of in side length results in an increase of in perimeter.
Example 5: Chess Club Fee Structure
Joining fee = (constant base fee)
Cost per match played =
Expression for total cost with matches played:
Match and Cost Table:
Match :
Match :
Match :
Match :
Match :
Match :
Constant Difference: The total cost increases by for each additional match played.
Determining Matches from Total Paid: If a player pays :
Example 6: Linear Equation for Number Sums
The sum of two numbers is , and one number is more than the other.
Let the smaller number be . Then the larger number is
Linear Equation:
Solving the equation:
The two numbers are and
Polynomials as Input-Output Processes (Functions)
Polynomials process an input variable value to yield a corresponding output value.
Linear Expression Machine Example:
Input
Input
Function Classification Comparison:
is a linear function.
(from Example 3) is a quadratic function.
Evaluation of at :
Exercise Set 2.2 Solutions
1. Value of linear polynomial :
(i)
(ii)
(iii)
2. Value of quadratic polynomial :
(i)
(ii)
(iii)
3. Salil's and Mother's Ages:
Let Salil's present age be . Mother's age = .
Ages after : Salil = , Mother =
Equation:
Present Ages: Salil = , Mother = .
4. Two Positive Integers in Ratio with Difference :
Let the integers be and
Equation:
Integers: and
5. Ruby's Coin Breakdown:
Let the number of five-rupee coins be . Number of two-rupee coins =
Total monetary value equation:
Coin counts: Five-rupee coins = , Two-rupee coins = . Total coins =
6. Cutting a Fence of :
Let shorter piece = . Longer piece = .
Equation:
Piece lengths: Shorter piece = , Longer piece = .
7. Dimensions of Rectangle with Perimeter :
Let width = . Length = .
Perimeter formula:
Length .
Analyzing Linear Patterns and Sequences
A linear pattern is a sequence of numbers in which the difference between consecutive terms is constant.
Pattern Analysis: Growing Square Tile Sequence
Figure 2.4 illustrates a growing pattern of square tiles:
Stage 1: tile
Stage 2: tiles
Stage 3: tiles
Stage 4: tiles
Stage 5: tiles
Stage 6: tiles
Stage 7: tiles
General Term Formula: At Stage , the number of tiles is one less than twice the stage number:
Pattern Properties:
Degree of : (Linear polynomial).
Common difference between consecutive terms:
Specific Term Evaluations using :
15th Stage:
26th Stage:
Stage with 21 tiles:
Stage with 47 tiles:
Linear Patterns in Daily Contexts
Example 7: Daily Pocket Money Spending
Initial money = . Daily spending =
Remaining money table:
Day 0:
Day 1:
Day 2:
Day 3:
Day 4:
Expression for Day :
Days to reach balance:
Amount left on 15th day:
Days to spend entire amount ():
Example 8: Auto-Rickshaw Fare Structure
Base fare for initial =
Additional rate beyond = .
Fare Table:
Distance :
Distance :
Distance :
Distance :
Distance :
Distance :
Expression for distance :
Total fare for journey:
Distance for a fare of :
Exercise Set 2.3 Solutions
1. Savings Account Growth:
Initial balance = , monthly addition =
End of Month 1 = , Month 2 = , Month 3 =
Linear expression for -th month:
2. Rally Dropout Rate:
Initial members = , dropout rate = .
Members after 1 hour = , 2 hours = , 3 hours =
Linear expression for -th hour:
3. Rectangle Area with Fixed Length ():
(i) Breadth
(ii) Breadth
(iii) Breadth
Linear pattern for breadth :
4. Volume of Rectangular Box ():
Base Area =
(i) Height
(ii) Height
(iii) Height
Linear pattern for height :
5. Reading Progress:
Total pages = , daily reading = .
Linear pattern after :
Pages left after 15 days: .
Principles of Linear Growth and Linear Decay
Linear Growth: A pattern where a quantity increases by a constant amount over equal intervals. Graphically represented by a line with a positive slope.
Linear Decay: A pattern where a quantity decreases by a constant amount over equal intervals. Graphically represented by a line with a negative slope.
Detailed Models of Growth and Decay
Example 9: Travel Cost Model (Linear Growth)
Cost equation: , where is total cost in Rupees and is distance in km.
Table of Values:
Growth Rate: Cost increases by a constant rate of .
Cost for journey:
Distance for budget: .
Example 10: Water Tank Evaporation Model (Linear Decay)
Height equation: , where is height in metres and is time in months.
Table of Values:
Month
Month
Month
Month
Month
Decay Rate: Height decreases by a constant rate of .
Water height at 5 months: .
Exercise Set 2.4 Solutions
1. Plant Height Growth:
Initial height = , growth rate = .
(i) Height after 7 months: .
(ii) Table of values for :
(iii) Relationship equation: . Represents linear growth because height increases by a constant positive value () for equal monthly time intervals.
2. Mobile Phone Value Depreciation:
Initial cost = , annual depreciation = .
(i) Value after 3 years:
(ii) Table of values for :
(iii) Relationship equation: . Represents linear decay because value decreases by a constant amount () every year.
3. Village Population Expansion:
Initial population = , annual inward migration = .
(i) Population after 6 years:
(ii) Table of values for :
(iii) Relationship equation: . Represents linear growth because the population increases by a constant amount () each year.
4. Prepaid Balance Exhaustion:
Initial balance = , daily usage = .
(i) Equation: . Represents linear decay because the remaining balance decreases by a fixed amount () daily.
(ii) Days until balance runs out ():
(iii) Table of values for :
Day
Day
Day
Day
Day
Day
Day
Day
Day
Day
Formulation of Linear Relationships
A linear relationship between two variables and is expressed in the standard form: where is the rate of change (slope) and is the initial/fixed constant (y-intercept).
Solving for Parameters in Linear Relationships
Example 11: Internet Data Billing Structure
Model equation: , where is data used in GB and is total monthly bill in Rupees.
Data Points:
Usage
Usage
System Solution:
Express from first equation:
Substitute into second equation:
Calculate :
Resulting Relationship:
Meaning of Parameters:
represents the variable charge per GB of data used ().
represents the fixed monthly subscription fee ().
Exercise Set 2.5 Solutions
1. Online Learning Platform Fee:
Model:
Points: and
Equations:
Subtracting equations:
Parameters: , (Relationship: ).
2. Gym Badminton Court Fee:
Model:
Points: and
Equations:
Subtracting equations:
Parameters: , (Relationship: ).
3. Celsius and Fahrenheit Temperature Conversion:
Model:
Freezing Point:
Boiling Point:
Substituting :
Parameters: ,
Full Linear Equation:
Graphical Representation of Linear Relationships
The graph of any linear equation on a coordinate plane is a straight line.
A minimum of two distinct points is required to plot a straight line.
Graphing Techniques and Point Verification
Plotting :
Point A ():
Point B ():

Completed Coordinate Table for :
Point Verification Rule: A point lies on a line if and only if its coordinates satisfy the linear equation
Verification for : , confirming it lies on
Example 12: Graphing Positive Slope Line
Coordinates: , , , , .
Observed Rule: Each y-coordinate is three times the x-coordinate ().

Example 13: Graphing Negative Slope Line
Coordinates: , , , , , .
Observed Rule: Each y-coordinate is times the x-coordinate ().

Influence of Slope () on Direct Proportionality Lines ()
Equations: , ,

Key Graphical Characteristics:
Every line of the form passes through the origin .
When a > 1, the line is steeper than
When a < 1, the line is less steep than
The coefficient represents the slope (steepness) of the line.
Positive slopes represent linear growth; negative slopes represent linear decay.
Negative Slope Lines ():
Equations: , ,
Slope direction: Lines slant downwards from left to right.
Graph Comparison ( vs ): slants upwards (positive slope 3, linear growth), whereas slants downwards (negative slope -3, linear decay). Both cross the y-axis at .
Influence of y-Intercept () and Parallel Lines
Equations: , ,
Slope is identical for all three lines.
Parallel Lines Principle: Lines with equal slopes but different y-intercepts are parallel to each other.
y-Intercept Definition: The point where a straight line crosses the y-axis is . The constant is called the y-intercept.
cuts the y-axis at (y-intercept = ).
cuts the y-axis at (y-intercept = ).
cuts the y-axis at (y-intercept = ).
Summary of Graphical Rules for
In , represents slope, and represents y-intercept.
Changing while keeping fixed rotates the line around , altering its steepness.
Changing while keeping fixed shifts the line vertically, maintaining parallelism with the original line.
Exercise Set 2.6 Solutions
1. Graph Families:
(i) : All pass through . Steeper slope for larger
(ii) : All pass through . Downward slanting; steeper negative slope for larger magnitude of
(iii) : Pass through origin ; reflections of each other across the y-axis.
(iv) : Parallel lines with slope and y-intercepts
(v) : and are parallel with slope ; has positive slope and y-intercept
Comprehensive Chapter Exercises and Solutions
1. Polynomial Construction:
Degree 3 polynomial in variable with coefficient :
2. Polynomial Evaluations:
(i) at :
(ii) at :
3. Number Problem:
Let the number be
Equation:
Solving for :
4. Positive Number Comparison:
Let one number be and the positive number be
Adding to both yields and
Equation:
The numbers are and
5. Savings Pattern:
Initial amount = , monthly savings =
Pattern expression for months:
(i) After 6 months:
(ii) After 2 years ():
6. Two-Digit Number Problem:
Digits differ by 3.
Let tens digit = and units digit =
Original number =
Interchanged number =
Sum equation:
Digits are and
Both possible numbers are and
7. Line Properties and Parallel Line Identification:
(i) Slope , y-intercept , y-axis point .
(ii) Slope , y-intercept , y-axis point .
(iii) Slope , y-intercept , y-axis point .
(iv) Slope , y-intercept , y-axis point .
Parallel Lines: Lines (ii) and (iv) are parallel because both have an identical slope of
8. Kelvin to Fahrenheit Conversion:
Equation:
(i) Temperature at :
(ii) Temperature at :
9. Work Done by Constant Force:
Equation with force :
Work done when distance :
10. Determining Linear Polynomial from Points:
Graph passes through and .
Let
Equations:
Subtracting equations:
(i) Polynomial:
(ii) Axis Intercepts:
y-axis ():
x-axis ():
11. System of Two Linear Polynomials:
Let and
Condition (i):
Condition (iii):
Condition (ii): cuts x-axis at :
Solving for and :
Add and
Resulting Polynomials: and
12. Hexagon Matchstick Pattern:
Stage 1: hexagon = matchsticks
Stage 2: joined hexagons = matchsticks
Stage 3: joined hexagons = matchsticks
(i) Next two stages: Stage 4 requires matchsticks; Stage 5 requires matchsticks.
(ii) Matchstick Table:
Stage 1:
Stage 2:
Stage 3:
Stage 4:
Stage 5:
Stage :
(iii) Rule for -th stage:
(iv) Matchsticks for 15th stage:
(v) Can 200 matchsticks form a stage? Since must be an integer, 200 matchsticks cannot form a stage in this pattern.
13. Parallel Linear Polynomials:
passes through and :
is parallel to
passes through :
x-axis Intercepts ():
14. Shared Feature of , a > 0:
Factoring expression:
Evaluating at : for all a > 0
Shared Characteristics: All functions in this family pass through the point on the x-axis (x-intercept is ) and have a y-intercept equal to their slope