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The partial derivative of \( z \) with respect to \( x \) is defined as the limit of the difference quotient as \( h \) approaches 0. It measures how \( z \) changes when \( x \) changes slightly, keeping \( y \) constant.
Solución
You've provided the definition of the **partial derivative** of a function \( z = z(x, y) \) with respect to the variable \( x \). Let's break down and explain each component of the expression:
\[
\frac{\partial z}{\partial x} = \lim_{h \rightarrow 0} \frac{z(x + h, y) - z(x, y)}{h}
\]
### Components Explained:
1. **Partial Derivative (\( \frac{\partial z}{\partial x} \))**:
- **Definition**: It measures how the function \( z(x, y) \) changes as only the variable \( x \) changes, while keeping \( y \) constant.
- **Interpretation**: It tells you the rate at which \( z \) increases or decreases as \( x \) increases, assuming \( y \) does not change.
2. **Limit Expression (\( \lim_{h \rightarrow 0} \frac{z(x + h, y) - z(x, y)}{h} \))**:
- **Numerator (\( z(x + h, y) - z(x, y) \))**:
- Represents the change in the function \( z \) when \( x \) is increased by a small amount \( h \), while \( y \) remains the same.
- **Denominator (\( h \))**:
- The small increment by which \( x \) is increased.
- **Limit as \( h \rightarrow 0 \)**:
- Ensures that we're looking at the instantaneous rate of change as the increment \( h \) becomes infinitesimally small.
### Interpretation:
The partial derivative \( \frac{\partial z}{\partial x} \) essentially captures the slope of the function \( z(x, y) \) in the direction of the \( x \)-axis. It tells you how sensitive the function \( z \) is to small changes in \( x \), holding \( y \) constant.
### Example:
Suppose \( z(x, y) = x^2 y + \sin(x) \). Let's find \( \frac{\partial z}{\partial x} \) using the limit definition.
1. **Compute \( z(x + h, y) \)**:
\[
z(x + h, y) = (x + h)^2 y + \sin(x + h)
\]
2. **Subtract \( z(x, y) \)**:
\[
z(x + h, y) - z(x, y) = [(x + h)^2 y + \sin(x + h)] - [x^2 y + \sin(x)] = 2xhy + h^2 y + \sin(x + h) - \sin(x)
\]
3. **Divide by \( h \)**:
\[
\frac{z(x + h, y) - z(x, y)}{h} = 2xy + h y + \frac{\sin(x + h) - \sin(x)}{h}
\]
4. **Take the limit as \( h \rightarrow 0 \)**:
\[
\frac{\partial z}{\partial x} = \lim_{h \rightarrow 0} \left(2xy + h y + \frac{\sin(x + h) - \sin(x)}{h}\right) = 2xy + 0 + \cos(x) = 2xy + \cos(x)
\]
### Conclusion:
The expression you've provided is the foundational definition for computing the partial derivative of a function with respect to one of its variables. Understanding this concept is crucial in fields like calculus, physics, engineering, and any area that involves multivariable functions.
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