Tangent Gradient at y-Intercept (HSC SSCE Mathematics Advanced): Revision Notes
Tangent Gradient at y-Intercept
Introduction
By the end of this section, you should be able to:
- Define what a tangent and a secant are in relation to a curve
- Understand how the gradient of a secant line can be used to approximate the gradient of a tangent
- Use the formula to estimate the gradient of the tangent to at its y-intercept
- Examine how the gradient of the tangent at the y-intercept varies depending on the value of the base
Key terminology
Understanding these fundamental terms is essential for working with tangent gradients.
Tangent
A tangent is a straight line that touches a curve at exactly one point. When we talk about the tangent to a curve at a specific point, we mean a line that just touches the curve there, with a gradient that matches the curve's rate of change at that exact location.
Gradient
The gradient is the slope or steepness of a line. If you have two distinct points on a line, and , you can calculate the gradient using:
This formula tells you how much the line rises (or falls) for each unit you move horizontally.
The gradient formula measures the vertical change divided by the horizontal change between two points. A positive gradient means the line slopes upward from left to right, while a negative gradient means it slopes downward.
Intercept
An intercept is where a curve or function crosses an axis. The x-intercept occurs where the curve crosses the x-axis (when ), and the y-intercept occurs where the curve crosses the y-axis (when ).
Secant
A secant is a straight line that passes through two points on a curve. Unlike a tangent which touches at one point, a secant cuts through the curve at two different points.
Understanding the tangent gradient at the y-intercept
The tangent to a curve at any point is a line that touches the curve at that specific point. The gradient of this tangent line equals the curve's instantaneous rate of change at that point.
For an exponential function (where and ), finding the y-intercept is straightforward. The y-intercept occurs when :
For all exponential functions of the form , the y-intercept is always at the point , regardless of the value of . This is because any positive number raised to the power of zero equals 1.
Estimating the gradient using a secant line
To find the gradient of the tangent at , we can approximate it using a secant line. This method works by connecting two points on the curve: the y-intercept and a nearby point , where is a small number.
The gradient of this secant line is calculated as:
Here's what each part means:
- represents the gradient of the secant line
- is the y-value at
- is the y-value at
- is the horizontal distance between the two points
As becomes very small (approaches zero), the secant line gets closer and closer to the tangent line, making this gradient a better approximation of the tangent's actual gradient. This is the key principle behind this estimation method.
This formula allows you to estimate the rate of change of at . By testing different values of , you can observe how the gradient changes for different exponential functions. For instance:
- When , the gradient is less than 1
- When , the gradient is greater than 1
Exploration activity
To develop your understanding of how this formula works, try the following investigation:
Calculate the gradient of the secant for at using and then . Then repeat this process for . Notice how the gradient changes as you vary , and observe what happens as gets progressively smaller.
As you work through this exploration, pay attention to:
- How the gradient value changes when you decrease the value of
- The difference in gradients between different base values ( versus )
- Whether the gradient is increasing or decreasing as becomes smaller
Worked example
Let's work through a complete example to see how to apply the secant gradient formula.
Worked Example: Estimating Tangent Gradients for Exponential Functions
For
Part a: Estimate the gradient of the tangent at using a secant with , rounded to four decimal places.
Strategy:
We'll use the secant gradient formula for the function at with .
Solution:
For , we have and :
The gradient is approximately 0.6956.
Part b: Compare with using the same value of .
Strategy:
Use the same secant gradient formula for the function at with .
Solution:
For , we have and :
The gradient is approximately 1.1047, which is closer to than the gradient for .
Key observation: The gradient of the tangent to at the y-intercept varies with the value of . This gradient can be estimated using secant lines, with the approximation improving as gets smaller.
Remember!
Key Points to Remember:
- A tangent touches a curve at one point, while a secant passes through two points on a curve
- For exponential functions , the y-intercept is always at
- The gradient of the tangent at the y-intercept can be approximated using with small values of
- As approaches zero, the secant line provides a better approximation of the tangent
- The gradient at the y-intercept changes with different base values: smaller for , larger for