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Welcome class! Today we're diving into polynomials. Can anyone tell me what a polynomial is?
Isn't it an expression with variables like x or y raised to whole-number powers?
Exactly! And the highest power of the variable is called the degree. For example, in `4x + 2`, the degree is 1 because the highest power is x^1.
What about other types of polynomials? I heard there are quadratic and cubic ones.
Yes! A polynomial of degree 2 is called a quadratic polynomial, and one of degree 3 is a cubic polynomial. Quadratics take the form `axΒ² + bx + c` where `a β 0`.
Can you give us examples of cubic polynomials?
Sure! An example is `2xΒ³ - 5xΒ² + 3`. Any more thoughts?
So all these are polynomials as long as they follow the rules?
Yes, expressions with variables raised to fractional or negative powers aren't polynomials. Now, let's summarize what we've learned: polynomials can be linear, quadratic, or cubic, all defined by their degree.
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Next, letβs discuss zeroes of polynomials. Who can tell me what a zero is?
I think it's the value of x that makes the polynomial equal zero.
Correct! For instance, in the polynomial `p(x) = xΒ² - 4`, the zeroes are the points where `p(x)` equals zero.
How do we find the zeroes of a polynomial?
Great question! We replace `x` with various values until we find the points where the polynomial evaluates to zero. For `p(x) = xΒ² - 3`, we find the zeroes as x equal to the square root of 3.
And this is represented graphically, right?
Absolutely! The graph intersects the x-axis at the zeroes. Letβs sum up: the zeroes are critical to defining the behavior of polynomials and are visible on their graphs.
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Now we will relate zeroes to their graphical representation. Why are these zeroes important?
They show where the graph hits the x-axis!
Correct! For a quadratic polynomial, we can have 0, 1 or 2 real zeroes depending on the graph's shape. Can you tell me how the graph looks if there are two zeroes?
It intersects the x-axis at two distinct points.
Exactly! And if it touches at one point?
Then there is one zero, but it appears twice.
Perfect! If the graph does not touch the x-axis, then there are no real zeroes. Always remember that the degree of the polynomial gives you insights into how many zeroes you might find.
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Moving on, letβs explore the relationship between zeroes and the coefficients of polynomials. Who remembers the sum and product relationship for quadratic polynomials?
Isn't it that the sum of the zeroes is equal to `-b/a`?
Exactly! If `p(x) = axΒ² + bx + c`, then the zeroes Ξ± and Ξ² satisfy `Ξ± + Ξ² = -b/a` and `Ξ±Ξ² = c/a`.
What about cubic polynomials?
For cubic polynomials, there are similar relationships but involving more terms. The sum of the zeroes of `p(x) = axΒ³ + bxΒ² + cx + d` can be expressed as `-b/a`.
Can you show us an example?
Certainly! For `p(x) = 2xΒ³ - 4xΒ² + x - 1`, if zeroes are 3, -1, and 1/2, you could calculate the relationships. Remember these formulas help us understand the structure of polynomials!
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This section introduces polynomials in one variable and their degrees, exemplifying types such as linear, quadratic, and cubic polynomials. It describes how to find zeroes of polynomials and the significance of these zeroes geometrically and algebraically. Additionally, the section discusses the relationship between the coefficients of polynomials and their zeroes.
In this section, we examine polynomials defined as expressions made up of variables raised to whole-number powers, emphasizing their highest degree. The types of polynomials discussed include:
ax + b
) and have one root, found where the graph intersects the x-axis.axΒ² + bx + c
), they can have up to 2 roots, indicated by their x-intercepts on a graph.axΒ³ + bxΒ² + cx + d
) can have at most 3 roots.The concept of zeroes is crucial as it indicates values for which the polynomial equals zero. The section illustrates how to compute zeroes using various examples and emphasizes the geometric significance of these zeroes as x-coordinates where the polynomial graph intersects the x-axis. Additionally, it discusses relationships between the zeroes and coefficients of polynomials, such as the sum and product of zeroes for quadratic and cubic polynomials, concluding with the insight that a polynomial of degree n can intersect the x-axis at most at n points.
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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 \( \frac{1}{x} \), \( x + 2 \), etc., are not polynomials.
Polynomials are algebraic expressions that consist of variables and coefficients. The degree of a polynomial is determined by the highest exponent in its expression. For instance, in the polynomial 4x + 2, the highest power of x is 1, making it a first-degree polynomial, also known as a linear polynomial. Similarly, we encounter various degrees like 2 (quadratic) or 3 (cubic) as we analyze different forms of polynomials.
Think of polynomials like recipes in cooking. Just as a recipe tells you the ingredients (coefficients) and their amounts (degrees), a polynomial combines numbers and variables. The 'highest power' or degree is like the most important ingredient that defines the dishβs main taste or complexity. A cake (represented by a quadratic polynomial) has more layers than a simple bread (linear polynomial), showing its higher degree of complexity.
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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 \frac{1}{3}, 3z + 4, and u + 1 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. Examples include 2xΒ² + 3x β 5, yΒ² β 2, and more. A polynomial of degree 3 is called a cubic polynomial, represented generally as axΒ³ + bxΒ² + cx + d.
Polynomials can be classified by their degree. Linear polynomials are simple and have one degree. Quadratic polynomials, with degree two, often represent parabolas when graphed. Cubic polynomials, having three degrees, introduce more complexity. They can have points of inflection and exhibit varying behaviors in their graphs.
Imagine different layers of complexity in a building. A single-story building represents a linear polynomial - straightforward and simple. Adding a second floor signifies a quadratic polynomialβmore complex and functional. Finally, a skyscraper with many floors and unique shapes represents a cubic polynomial, showing intricate designs and multiple usage levels.
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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. 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).
Evaluating a polynomial involves substituting a specific value for the variable into the polynomial and calculating the result. For instance, if you replace x in the polynomial p(x) = xΒ² β 3x β 4 with 2, you arrive at p(2) by following the operations as designed in the formula. This process helps in determining the value of the polynomial at any given point.
Consider you are checking how tall a plant will grow over time, represented by a polynomial. By plugging in different 'ages' (like values for x), you can predict the plant's height at each specific age, just as evaluating a polynomial reveals its output at predetermined inputs.
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What is the value of p(x) = xΒ² β 3x β 4 at x = β1? We find p(β1) = (β1)Β² β {3 Γ (β1)} β 4 = 0. Thus, β1 is a zero of the polynomial. More generally, a real number k is said to be a zero of a polynomial p(x) if p(k) = 0. We already discussed how to find the zeroes of a linear polynomial. For instance, if k is a zero of p(x) = 2x + 3, then p(k)= 0 gives us 2k + 3 = 0, leading to k = β \frac{3}{2}.
The zeroes of a polynomial are the values for which the polynomial equals zero. Finding these zeroes is crucial because they often represent critical points in a graphβwhere the curve crosses the x-axis. For example, in a quadratic polynomial, zeroes can suggest the roots of the equation, indicating where the graph intersects the horizontal axis.
Think about finding a lost treasure as solving for the zero of a polynomial. Each potential spot to check can be viewed as a value you plug into the polynomial. Just as you'd check if you've found the treasure (zero), solving for zeroes in polynomials can reveal the 'hidden gems'βroots vital for the overall understanding of the mathematical landscape.
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Consider the quadratic polynomial xΒ² β 3x β 4. The graph represents xΒ² β 3x β 4, which intersects the x-axis at points where the polynomial equals zero. This means the zeroes are the x-coordinates where the graph meets the x-axis. Thus, for a quadratic polynomial, we find that the zeroes correspond directly to the intersection points on the x-axis.
Graphing a polynomial reveals visually where it equals zero. For quadratic functions, this forms a parabola, and where it touches or crosses the x-axis indicates the zeroes. This visualization not only assists in comprehending the zeroes' significance but also indicates the nature of the rootsβwhether they are real or complex, distinct or repeated.
Imagine a roller coaster on a graph, where points below the x-axis represent parts of the ride that are below ground level, and points above it show parts that are above ground. The points where the coaster touches the ground is akin to the zeroes of the polynomialβthose 'ground-breaking' moments when the ride is level with the x-axis.
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You have already seen that zero of a linear polynomial ax + b is β\frac{b}{a}. Now letβs check the relationship between the zeroes and coefficients of a quadratic polynomial. If p(x) = axΒ² + bx + c, the relationship can be described with sums and products of zeroes, providing a link between the roots of the polynomial and its coefficients.
For quadratic polynomials, there's a specific relationship involving the coefficients and the roots or zeroes. If Ξ± and Ξ² are the zeroes, the sum Ξ± + Ξ² equals βb/a, and product Ξ±Ξ² equals c/a. This forms a foundational understanding of how the polynomial behaves based on its roots, emphasizing the interconnectedness of algebraic equations.
Think of a seesaw in balance. The weights represent the coefficients, and the pivot point represents the zero of the polynomial. By understanding how the weights (coefficients) can change the seesaw (polynomial) equilibrium (zeroes), we grasp the delicate balance at play in polynomial equations, echoing the relationship between their zeroes and coefficients.
Learn essential terms and foundational ideas that form the basis of the topic.
Key Concepts
Polynomials are expressions comprising variables and coefficients.
Zeroes are values of x that satisfy the polynomial equation p(x) = 0.
The degree influences the number of potential zeroes.
The relationship between zeroes and coefficients aids in polynomial analysis.
See how the concepts apply in real-world scenarios to understand their practical implications.
Example of a linear polynomial: 2x + 3
is a linear polynomial of degree 1.
Example of a quadratic polynomial: xΒ² - 4x + 4
has roots at x = 2.
Example of a cubic polynomial: xΒ³ - 3xΒ² + 4
can have up to three zeroes.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
If x is near, and p(x) is clear, zeroes find their roots, let's give a cheer!
Imagine a tree (x) where branches (coefficients) hold fruits (zeroes). To find the fruits, you must climb the tree, which represents finding the polynomial's roots!
Dodge Zeros Carefully: Degree indicates max Zeros for Each polynomial.
Review key concepts with flashcards.
Review the Definitions for terms.
Term: Polynomial
Definition:
An algebraic expression consisting of variables raised to whole-number powers combined with coefficients.
Term: Linear Polynomial
Definition:
A polynomial of degree 1, which can be expressed in the form ax + b.
Term: Quadratic Polynomial
Definition:
A polynomial of degree 2, expressed in the form axΒ² + bx + c.
Term: Cubic Polynomial
Definition:
A polynomial of degree 3, expressed in the form axΒ³ + bxΒ² + cx + d.
Term: Zero of a Polynomial
Definition:
A value of x for which the polynomial evaluates to zero.
Term: Degree of a Polynomial
Definition:
The highest power of the variable in a polynomial.