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Exponential Functions Simplified Revision Notes

Revision notes with simplified explanations to understand Exponential Functions quickly and effectively.

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6.1.1 Exponential Functions

Exponential functions are a class of mathematical functions characterized by a constant base raised to a variable exponent. These functions are essential in modelling growth and decay processes, such as population growth, radioactive decay, and interest calculations in finance.

1. Definition of an Exponential Function:

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An exponential function is of the form: y=abxy = a \cdot b^x Where:

  •  y\ y is the dependent variable.
  •  x\ x is the independent variable.
  •  a\ a is the initial value (the value of  y\ y when  (x=0).\ ( x = 0 ).
  •  b\ b is the base of the exponential function.
  • If  (b>1)\ ( b > 1 ), the function represents exponential growth.
  • If (0<b<1( 0 < b < 1 ), the function represents exponential decay.

2. Properties of Exponential Functions:

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  • Domain: The domain of an exponential function is all real numbers ( xR\ x \in \mathbb{R} ).
  • Range:
  • For  a>0\ a > 0 and  b>0\ b > 0 , the range is  y>0.\ y > 0 .
  • For  a<0\ a < 0 and  b>0\ b > 0 , the range is  y<0.\ y < 0 .
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  • Intercepts:
  • The yy-intercept occurs at  x=0\ x = 0 , giving  y=ab0=a.\ y = a \cdot b^0 = a .
  • Exponential functions typically do not have xx-intercepts unless the function is horizontally shifted.
infoNote
  • Asymptote:
  • The graph of an exponential function has a horizontal asymptote, usually at  y=0\ y = 0 (the xx-axis).
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  • Growth and Decay:
  • Exponential Growth: If  b>1\ b > 1 , the function increases rapidly as  x\ x increases.
  • Exponential Decay: If  0<b<1\ 0 < b < 1 , the function decreases rapidly as  x\ x increases.

3. The Natural Exponential Function:

The most important exponential function is the natural exponential function, which has the base  e\ e , where  e:highlight[2.718]\ e \approx :highlight[2.718] . The function is: y=exy = e^x This function is particularly significant in calculus and natural sciences because it has unique properties, such as the derivative of  ex\ e^x being equal to  ex\ e^x itself.

4. Transformations of Exponential Functions:

Exponential functions can undergo transformations just like other functions:

  • Vertical Shifts: y=abx+c\ y = a \cdot b^x + c shifts the graph vertically by  c\ c units.
  • Horizontal Shifts:  y=abxh\ y = a \cdot b^{x - h} shifts the graph horizontally by  h\ h units.
  • Reflections:  y=abx\ y = -a \cdot b^x reflects the graph across the xx-axis.

5. Exponential Growth and Decay Models:

Exponential Growth Model:

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When a quantity grows at a rate proportional to its current value, it follows an exponential growth model: y=y0ekty = y_0 \cdot e^{kt} Where:

  •  y0\ y_0 is the initial quantity.
  •  k\ k is the growth rate constant (k>0)( k > 0 ) for growth).
  •  t\ t is time.

Exponential Decay Model:

infoNote

When a quantity decreases at a rate proportional to its current value, it follows an exponential decay model: y=y0ekty = y_0 \cdot e^{-kt} Where:

  •  y0\ y_0 is the initial quantity.
  •  k\ k is the decay rate constant ( k>0\ k > 0 for decay).
  •  t\ t is time.

6. Applications of Exponential Functions:

Exponential functions are widely used in various fields:

  • Biology: Modelling population growth, bacterial growth, and the spread of diseases.
  • Physics: Radioactive decay, cooling laws, and charging/discharging of capacitors.
  • Finance: Compound interest calculations and inflation modelling.
  • Environmental Science: Modelling carbon dating and other natural decay processes.

7. Example Problems with Exponential Functions:

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Example 1: Modelling Population Growth

  • Problem: A population of bacteria doubles every 33 hours. If there are initially 100100 bacteria, find the population after 99 hours.
  • Solution:
  • The population follows an exponential growth model  P(t)=P02t/3\ P(t) = P_0 \cdot 2^{t/3} , where  P0=100\ P_0 = 100 and  t\ t is the time in hours.
  • After 99 hours t=9t = 9: P(9)=10029/3=10023=1008=800P(9) = 100 \cdot 2^{9/3} = 100 \cdot 2^3 = 100 \cdot 8 = 800
  • The population after 99 hours is 800800 bacteria.
infoNote

Example 2: Radioactive Decay

  • Problem: A radioactive substance decays at a rate of 55% per year. If the initial amount is 200200 grams, find the amount remaining after 1010 years.
  • Solution:
  • The decay model is  A(t)=A0ektwhere k=0.05\ A(t) = A_0 \cdot e^{-kt} \, where \ k = 0.05 and  A0=200\ A_0 = 200 gramsgrams.
  • After 1010 years (t=10t = 10): A(10)=200e0.0510=200e0.52000.6065=121.3 gramsA(10) = 200 \cdot e^{-0.05 \cdot 10} = 200 \cdot e^{-0.5} \approx 200 \cdot 0.6065 = 121.3 \text{ grams}
  • The remaining amount after 1010 years is approximately 121.3121.3 grams.

8. Graphing Exponential Functions:

To graph an exponential function, follow these steps:

  1. Identify key points: Calculate  y\ y for a few values of  x\ x , including  x=0.\ x = 0 .
  2. Determine the asymptote: Identify where the graph levels off as  x\ x becomes very large or very small.
  3. Sketch the curve: Draw a smooth curve through the key points, approaching the asymptote.

Summary:

infoNote
  • Exponential functions describe processes where growth or decay occurs at a rate proportional to the current value.
  • The base  e\ e (approximately 2.718) is particularly important in natural exponential functions, which have applications in many scientific fields.
  • Understanding the transformation, graphing, and real-world applications of exponential functions is crucial for analysing growth and decay scenarios in mathematics, science, and finance.
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