Chapter 12: Problem 6
Find \(F(f(t), g(t))\) if \(F(x, y)=e^{x}+y^{2}\) and \(f(t)=\ln t^{2}\) \(g(t)=e^{t / 2} .\)
Short Answer
Expert verified
The expression is \( t^2 + e^{t} \).
Step by step solution
01
Identify the Functions
Begin by clearly identifying the functions you're working with. We have a composite function \( F(x, y) = e^{x} + y^{2} \) that we're applying to \( f(t) = \ln(t^2) \) and \( g(t) = e^{t/2} \). The task is to find \( F(f(t), g(t)) \).
02
Substitute Functions into Composite Function
Substitute \( f(t) = \ln(t^2) \) and \( g(t) = e^{t/2} \) into \( F(x, y) \). This gives us: \( F(\ln(t^2), e^{t/2}) = e^{\ln(t^2)} + (e^{t/2})^2 \).
03
Simplify the Expression using Logarithmic and Exponential Rules
Use the property that \( e^{\ln(a)} = a \) and simplify the expression: \( e^{\ln(t^2)} = t^2 \). Also, calculate \( (e^{t/2})^2 = e^{t} \). Thus, the expression becomes \( t^2 + e^{t} \).
04
Finalize the Expression
Combine the simplified results to write the final expression: \( F(f(t), g(t)) = t^2 + e^{t} \).
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Exponential Functions
Exponential functions are mathematical expressions involving an exponent that is a variable. In simpler terms, they have the form \( f(x) = a^{x} \), where \( a \) is a constant and \( x \) is the exponent, which is typically a variable. These functions are vital in various fields, as they model growth and decay processes, such as population growth or radioactive decay.
Some key characteristics of exponential functions include:
Some key characteristics of exponential functions include:
- Growth or Decay: If the base \( a > 1 \), the function represents exponential growth; if \( 0 < a < 1 \), it signifies exponential decay.
- Horizontal Asymptote: Typically, exponential functions have a horizontal asymptote along the x-axis, indicating a stable endpoint as \( x \) approaches infinity or negative infinity.
- Base "e": The natural exponential function involves the mathematical constant \( e \approx 2.71828\). It's frequently encountered in calculus and complex exponential functions, like \( e^x \).
Logarithmic Functions
Logarithmic functions are the inverses of exponential functions. They can be represented as \( f(x) = \log_a(x) \), where \( a \) is the base, and they allow the exponent to be the subject of the equation. Essentially, if \( a^y = x \), then \( y = \log_a(x) \).
The natural logarithm function specifically uses \( e \) as its base and is denoted as \( \ln(x) \). This function is crucial in calculus and many applications involving time and growth rates. Here’s why logarithmic functions are important:
The natural logarithm function specifically uses \( e \) as its base and is denoted as \( \ln(x) \). This function is crucial in calculus and many applications involving time and growth rates. Here’s why logarithmic functions are important:
- Inverse Nature: They solve equations involving exponents, making them invaluable for equations where the exponent is unknown.
- Properties: Use them to simplify multiplication, division, and exponentiation into addition, subtraction, and multiplication, respectively.
- Natural Logarithms: Since \( \ln(e^x) = x \), natural logs help in undoing exponential functions, as shown in our solution where \( e^{\ln(t^2)} = t^2 \).
Function Composition
Function composition involves combining two functions to create a new one by plugging the output of one function into the input of another. If you have two functions, \( f(x) \) and \( g(x) \), their composition is usually denoted as \( (f \circ g)(x) = f(g(x)) \).
In the given problem, we're asked to find \( F(f(t), g(t)) \), which is an example of a more complex form of function composition involving multiple variables. This process allows us to build more sophisticated models by combining simpler linear or non-linear functions. Here is why function composition is useful:
In the given problem, we're asked to find \( F(f(t), g(t)) \), which is an example of a more complex form of function composition involving multiple variables. This process allows us to build more sophisticated models by combining simpler linear or non-linear functions. Here is why function composition is useful:
- Complex Modeling: By combining simple functions, it becomes possible to model complex real-world situations more accurately.
- Flexibility: Offers flexibility in transforming inputs through various layers of functions, achieving multi-stage transformations.
- Simplification: Depending on function properties, sometimes compositions simplify to very manageable forms.