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Slope of Tangent at Point Calculator

Slope of Tangent Formula:

\[ m = \frac{dy}{dx} \text{ at point } x = a \]

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1. What is Slope of Tangent at Point?

The slope of the tangent line at a point on a curve represents the instantaneous rate of change of the function at that specific point. It is calculated as the derivative of the function evaluated at the given point.

2. How Does the Calculator Work?

The calculator computes the derivative of the given function and evaluates it at the specified point:

\[ m = \left. \frac{dy}{dx} \right|_{x = a} = f'(a) \]

Where:

Explanation: The derivative gives the rate of change of the function, and evaluating it at a specific point gives the slope of the tangent line at that point.

3. Importance of Slope Calculation

Details: Calculating the slope of the tangent is fundamental in calculus and has applications in physics, engineering, economics, and optimization problems where instantaneous rates of change are crucial.

4. Using the Calculator

Tips: Enter the mathematical function in standard notation and the x-coordinate of the point where you want to find the slope. Use proper mathematical syntax for the function input.

5. Frequently Asked Questions (FAQ)

Q1: What types of functions can I input?
A: The calculator supports polynomial, trigonometric, exponential, and logarithmic functions using standard mathematical notation.

Q2: Why is the slope unitless?
A: The slope represents the ratio of change in y to change in x (dy/dx), which is a dimensionless quantity when both axes use the same units.

Q3: What if the derivative doesn't exist at the point?
A: The calculator will indicate if the function is not differentiable at the given point or if the derivative is undefined.

Q4: Can I find slopes for parametric or implicit functions?
A: This calculator is designed for explicit functions y = f(x). Parametric and implicit functions require different approaches.

Q5: How accurate are the results?
A: The calculator uses symbolic differentiation for precise results, providing exact values when possible and numerical approximations when necessary.

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