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Good morning class! Today, we will dive into polynomials. To start, can anyone tell me what a polynomial is?
Isn't it an expression that involves variables raised to whole number powers?
Exactly! And what's essential is the degree of a polynomial, which is determined by the highest power. Can anyone give me an example of a polynomial and its degree?
Sure! 4xΒ² + 2x + 1 is a polynomial of degree 2.
Great! Now, letβs categorize polynomials. What do we call a polynomial of degree 1?
Thatβs a linear polynomial!
Correct! Now, how about degree 2?
That would be a quadratic polynomial.
Exactly! Remember the acronym L for Linear, Q for Quadratic when recalling degrees. Let's summarize: Degree 1 is linear, degree 2 is quadratic, and degree 3 is cubic.
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Now that we understood the types of polynomials, letβs talk about zeroes. What does it mean for a polynomial to have a zero?
I think itβs when you can plug a number into the polynomial, and the result is zero.
Exactly! For instance, in the polynomial p(x) = xΒ² - 3x - 4, can someone tell me how to find its zeroes?
We can set p(k) = 0 and solve for k, right?
Yes! For this polynomial, the zeroes are -1 and 4.
Well done! Letβs memorize that zeroes relate to where the graph intersects the X-axis. This is crucial. What's the definition of a zero again?
Itβs a value of x for which p(x) = 0.
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Letβs explore the geometric meaning of zeroes. Why do we care about where the polynomial graph intersects the x-axis?
Because those points show where the polynomial has zeroes!
Right! Thus, in a quadratic polynomial, we can either have two distinct zeroes, one double zero, or no zeroes at all depending on the graphβs shape. What can you tell me about the shapes of these graphs?
A parabola can open upwards or downwards based on the leading coefficient!
Yes! And that affects the number of x-axis intersections. Let's remember PQ for Parabola's Quadrants! Can anyone summarize our discussion?
We learned that the zeroes are x-coordinates where the graph meets the x-axis, and their shapes indicate how many zeroes we can have.
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Now, what do you think about the relationship between a polynomial's coefficients and its zeroes?
Are they connected in any way?
Great question! Yes, for a quadratic polynomial axΒ² + bx + c, the sum of the zeroes, Ξ± and Ξ², relates to -b/a. For example, what is the sum of the zeroes if b = -8 and a = 2?
The sum would be 8/2, which equals 4!
Spot on! Remember the connections: sum equals -b/a and product equals c/a. Can you see the patterns forming?
Yes! By knowing the coefficients, we can find the relationships without factoring!
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Finally, letβs consider real-world applications of polynomials. Where do you think polynomial zeroes play a role?
In physics, when calculating projectile motion?
Exactly! The trajectory of a ball can be modeled by a quadratic polynomial. Understanding zeroes helps us calculate the maximum height and distance traveled. Any other examples?
In economics, if profit is represented by a polynomial, zeroes can indicate break-even points!
Perfect! Understanding polynomial relationships truly enhances problem-solving in various fields.
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In this section, students revisit their prior knowledge of polynomials, particularly their degrees and types, including linear, quadratic, and cubic polynomials. Key examples and definitions are introduced to clarify the classification of polynomials based on their degree, with an emphasis on the importance of zeroes in their equations.
In this section, we reiterate the concept of polynomials, emphasizing that the highest power of a variable in a polynomial determines its degree. A polynomial of degree 1 is known as a linear polynomial (e.g., 2x - 3), while a degree 2 polynomial is termed a quadratic polynomial (e.g., xΒ² - 3x - 4). Likewise, a cubic polynomial is of degree 3 (e.g., xΒ³ - xΒ²). The section explains the significance of zeroes in polynomials, noting that substituting a value for x to yield zero identifies the polynomial's zeroes. Graphical representations are introduced to visualize the zeroes of both linear and quadratic polynomials, laying the groundwork for understanding their geometrical meanings and how they relate to their coefficients.
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In Class IX, you have studied polynomials in one variable and their degrees. Recall that if p(x) is a polynomial in x, the highest power of x in p(x) is called the degree of the polynomial p(x). For example, 4x + 2 is a polynomial in the variable x of degree 1, 2yΒ² β 3y + 4 is a polynomial in the variable y of degree 2, 5xΒ³ β 4xΒ² + x β 2 is a polynomial in the variable x of degree 3 and 7uβΆ β uβ΄ + 4uΒ² + u β 8 is a polynomial in the variable u of degree 6. Expressions like 1/x, x + 2, etc., are not polynomials.
A polynomial is a mathematical expression that contains variables raised to whole number powers. The degree is determined by the highest power of the variable present in the polynomial. For example, in the polynomial '5xΒ³ β 4xΒ² + x β 2', the highest power of 'x' is 3, thus the degree is 3. Polynomials can be classified based on their degree: degree 0 is a constant, degree 1 is linear, degree 2 is quadratic, etc. Expressions that involve negative or fractional powers of a variable do not qualify as polynomials.
Think of a polynomial like a recipe. Each term (like '4x', '2yΒ²') is an ingredient, and the degree indicates how complex the dish is. A 'degree 1' dish is like a simple salad (just one layer of ingredients), while a 'degree 3' dish might be a lasagna, which has multiple layers and elements combined.
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A polynomial of degree 1 is called a linear polynomial. For example, 2x β 3, 3x + 5, y + 2, x β 1, 3z + 4, u + 1, etc., are all linear polynomials. Polynomials such as 2x + 5 β xΒ², xΒ³ + 1, etc., are not linear polynomials. A polynomial of degree 2 is called a quadratic polynomial. The name βquadraticβ has been derived from the word βquadrateβ, which means βsquareβ. 2xΒ² + 3x β 5, yΒ² β 2, etc., are examples of quadratic polynomials.
Polynomials are categorized based on their degree into linear (degree 1), quadratic (degree 2), and cubic (degree 3). For example, a linear polynomial represents a straight line when graphed, while a quadratic polynomial forms a parabola. A linear polynomial has the form ax + b (where a is not zero), and a quadratic polynomial has the form axΒ² + bx + c (where a is not zero). Understanding these classifications helps in recognizing the shape of the polynomial graph.
Imagine the degrees of polynomials as different types of vehicles. Linear polynomials are like bicycles β simple and straight. Quadratic polynomials are more like motorcycles β they can take curves and get into more complex routes. Cubic polynomials are like cars with more functionalities β they offer diverse routes and experiences based on how theyβre driven.
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Now consider the polynomial p(x) = xΒ² β 3x β 4. Then, putting x = 2 in the polynomial, we get p(2) = 2Β² β 3 Γ 2 β 4 = β6. The value ββ6β, obtained by replacing x by 2 in xΒ² β 3x β 4, is the value of xΒ² β 3x β 4 at x = 2. Similarly, p(0) is the value of p(x) at x = 0, which is β4.
Evaluating a polynomial involves substituting a specific value for the variable and performing the operations as defined in the polynomial. For instance, with p(x) = xΒ² β 3x β 4, if we want to find p(2), we replace every 'x' with '2' and calculate the result. This evaluation shows how polynomials can represent different values based on input.
Think of evaluating a polynomial like calculating expenses for a shopping trip based on the amount of products you purchase. Just as substituting different quantities into your expense formula gives different total costs, substituting various values into a polynomial changes the outcome.
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If p(x) is a polynomial in x, and if k is any real number, then the value obtained by replacing x by k in p(x), is called the value of p(x) at x = k, and is denoted by p(k). What is the value of p(x) = xΒ² β3x β 4 at x = β1? We have: p(β1) = (β1)Β² β{3 Γ (β1)} β 4 = 0. Also, note that p(4) = 4Β² β (3 Γ 4) β 4 = 0.
The zeroes of a polynomial are the values of x that make the polynomial equal to zero (p(k) = 0). For example, in p(x) = xΒ² β 3x β 4, finding that p(β1) = 0 means that β1 is a zero. This indicates that (x + 1) is a factor of the polynomial.
Finding the zeroes of a polynomial can be compared to finding the tipping point in a business, where sales need to equal expenses to break even. Zeroes represent the critical points where the polynomial (like the business) reaches specific outcomes (profit or loss).
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For example, if k is a zero of p(x) = 2x + 3, then p(k) = 0 gives us 2k + 3 = 0, i.e., k = -3/2. In general, if k is a zero of p(x) = ax + b, then p(k) = ak + b = 0, i.e., k = -b/a. So, the zero of the linear polynomial ax + b is -b/a. Thus, the zero of a linear polynomial is related to its coefficients.
The relationship between a polynomial's coefficients and its zeroes is crucial for understanding the polynomial's behavior. For a linear polynomial, the zero can be directly calculated using the ratio of the coefficients. This establishes a fundamental connection between the polynomial's algebraic expression and its graphical representation.
Think of this relationship like a recipe where the ingredients (coefficients) determine the final dish's outcome (zero). Just as changing the quantity of one ingredient can lead to a different taste, adjusting the coefficients directly affects the polynomial's zeroes.
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Key Concepts
Polynomial: An algebraic expression of variables and coefficients.
Degree: The highest power of the variable in the polynomial.
Types of Polynomials: Linear, Quadratic, Cubic.
Zeroes: The x-values where a polynomial equals zero.
See how the concepts apply in real-world scenarios to understand their practical implications.
Example of a linear polynomial: p(x) = 2x + 3, degree = 1.
Example of a quadratic polynomial: p(x) = xΒ² - 3x + 2, zeroes found by factoring.
Example of a cubic polynomial: p(x) = 3xΒ³ - 3xΒ² + x, degree = 3.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
To find zeroes that shine, set your polynomial to line.
Once upon a time, a polynomial wanted to find its roots. It met others like Linear, Quadratic, and Cubic, each with a story about their degrees.
LQ for Linear and Quadratic, C for Cubic in our cubic catalog - remember the degrees well!
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Review the Definitions for terms.
Term: Polynomial
Definition:
An algebraic expression that consists of variables and coefficients, combined using only addition, subtraction, multiplication, and whole number exponentiation.
Term: Degree of a Polynomial
Definition:
The highest power of the variable in a polynomial.
Term: Linear Polynomial
Definition:
A polynomial of degree 1.
Term: Quadratic Polynomial
Definition:
A polynomial of degree 2.
Term: Cubic Polynomial
Definition:
A polynomial of degree 3.
Term: Zero of a Polynomial
Definition:
A value of x for which the polynomial evaluates to zero.