Answer :
Let's analyze the given function:
[tex]Q_H = 60000 - 40P_H + 20P_C + 5H + 0.1I_H + 0.0001A_H[/tex]
Characterization of the Function:
Multivariate:
- The function has more than one independent variable ([tex]P_H, P_C, H, I_H, A_H[/tex]), so it is not univariate or bivariate, but multivariate.
Linear:
- The function is linear because all the variables ([tex]P_H, P_C, H, I_H, A_H[/tex]) are raised to the power of 1.
1st Degree:
- The highest power of any variable is 1, meaning it's a first-degree function.
Additive:
- The function combines terms with addition or subtraction, thus it is considered additive.
Not Exponential, Logarithmic, Curvilinear, or Multiplicative:
- The function does not feature exponential growth, logarithmic characteristics, curvilinear shapes, or multiplicative relationships between variables.
Not Linearly Homogeneous:
- A linearly homogeneous function, if multiplied by a scalar, increases each variable by that scalar. Here, that property isn't applicable because the constant 60000 won’t scale proportionally with all the variables in such a way.
Summary:
- Multivariate
- Linear
- 1st Degree
- Additive
This type of analysis is fundamental in college-level mathematics, especially in courses involving linear algebra or econometrics, where understanding the nature of functions is essential in modeling real-world scenarios. If you have further questions or need more examples, feel free to ask!