Let’s analyze the function and address each part of the problem step by step.
Part (a): Finding the Gradients at Points and
To determine the gradients (slopes) of the curve at specific points, we first need to find the derivative of the function.
1. Derivative of the Function:
This derivative represents the gradient of the curve at any point .
2. Assuming Points and are the Roots:
Given that parts of the problem reference tangents and a graph (which isn’t provided here), we’ll make a reasonable assumption that points and correspond to the roots of the function.
3. Finding the Roots:
So, let’s assume:
Point has
Point has
4. Calculating the Gradients:
Summary for Part (a):
(i) Gradient at :
(ii) Gradient at :
Part (b): Finding the Roots of the Function
As derived earlier, the roots of the function are:
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Bonus Knowledge
To dive into the wonderful world of quadratic functions, let’s start with some key historical milestones. Quadratic equations, like , trace back to ancient civilizations. The Babylonians were grappling with these equations over 4,000 years ago! They developed methods to solve them, albeit without the sophisticated terminology we have today. This fascinating journey shows how mathematics evolved through trial, error, and a fair bit of genius!
When it comes to real-world applications, quadratic equations are everywhere! Engineers use them for projectile motion to predict the path of everything from sports balls to rockets. Architects apply quadratics in designing arches and parabolic structures for both aesthetic appeal and structural integrity. So, whether you’re throwing a ball or building a bridge, this mathematical concept has your back!