Consider the function $h(x)=\left(\frac{3}{2}\right)^x-1$.

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Function $h$ is an exponential (1) function.

(1)

  • growth
  • decay

Verified Answer :

  • Identify the base of the exponential function, which is \(b = \frac{3}{2} = 1.5\).
  • Apply the classification rule: if \(b > 1\), the function represents exponential growth.
  • Since \(1.5 > 1\), the function \(h(x) = \left(\frac{3}{2}\right)^x - 1\) is an exponential growth function.
  • The final answer is \(\boxed{\text{growth}}\).

Explanation

  1. Analyzing the Function Structure

The given function is \(h(x) = \left(\frac{3}{2}\right)^x - 1\). An exponential function is typically written in the form \(f(x) = a \cdot b^x + c\), where \(b\) is the base, and \(a\) and \(c\) are constants. In this specific function, the base is \(b = \frac{3}{2}\). To determine whether this function represents exponential growth or exponential decay, we examine the value of the base \(b\).

  1. Classification Criteria for Exponential Functions

An exponential function \(f(x) = b^x\) is classified based on its base \(b\):

  • If \(b > 1\), the function represents exponential growth, because as \(x\) increases, \(f(x)\) increases at an accelerating rate.
  • If \(0 < b < 1\), the function represents exponential decay, because as \(x\) increases, \(f(x)\) decreases towards zero.

In our case, the base is \(b = \frac{3}{2} = 1.5\). Since \(1.5 > 1\), the exponential component \(\left(\frac{3}{2}\right)^x\) will increase as \(x\) increases.

  1. Conclusion on the Function Type

Comparing the base \(b = 1.5\) to the value 1, we clearly see that \(1.5 > 1\). Because the base is greater than 1, the function \(h(x) = \left(\frac{3}{2}\right)^x - 1\) exhibits exponential growth behavior regardless of the constant shift \(-1\). Therefore, the function is an exponential growth function.

Examples

Exponential growth is a common concept in finance and biology. For instance, if you invest money in a savings account with a compound interest rate, your balance grows exponentially over time. Similarly, in biology, a population of bacteria under ideal conditions will multiply at a constant percentage rate, resulting in an exponential growth pattern. Identifying whether a model represents growth or decay is crucial for predicting future outcomes in these real-world scenarios.