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Exponents and Logarithms

Function Definition

Exponential Function

An exponential function is a function expressed in the form:

f(x)=n×axf(x) = n \times a^x

with the conditions:

  • aa is the base number, where a>0a > 0 and a1a \neq 1
  • nn is a non-zero real number
  • xx is any real number

Exponential functions have a special characteristic where the variable xx is in the exponent position. This is what distinguishes exponential functions from ordinary algebraic functions. In exponential functions, small changes in the value of xx can result in very large changes in the function's output.

Properties of Exponential Functions

The exponential function f(x)=axf(x) = a^x (for n=1n = 1) has several important properties:

  1. The domain of the function is all real numbers (R\mathbb{R})
  2. The range of the function is all positive numbers (R+\mathbb{R}^+)
  3. It intersects the Y-axis at point (0,1)(0, 1) because a0=1a^0 = 1
  4. The function is always positive for all values of x because a>0a > 0
  5. If a>1a > 1, the function increases (monotonically increasing)
  6. If 0<a<10 < a < 1, the function decreases (monotonically decreasing)

Special Cases of Exponential Functions

When a = 1

If a=1a = 1, then:

f(x)=n×1x=nf(x) = n \times 1^x = n

The value of 1x1^x is always 1 for any value of xx. As a result, the function becomes a constant function f(x)=nf(x) = n, no longer an exponential function. Its graph will be a horizontal line intersecting the Y-axis at point (0,n)(0, n).

Constant Function
Line is always horizontal constant at y=1y = 1.

When a = 0

If a=0a = 0, then:

f(x)=n×0xf(x) = n \times 0^x
  • For x>0x > 0, the value of 0x=00^x = 0 so f(x)=0f(x) = 0
  • For x=0x = 0, the value of 000^0 is undefined
  • For x<0x < 0, the value of 0x0^x is undefined

This function is no longer an exponential function but rather constant at f(x)=0f(x) = 0 for x>0x > 0. Then, because 000^0 and 0x0^x for x<0x < 0 are undefined, this function does not meet the definition of an exponential function.

Constant Function
Line is always horizontal constant at y=0y = 0, but undefined for x=0x = 0.

Examples of Exponential Functions

Here are some examples of exponential functions:

  1. f(x)=4xf(x) = 4^x

    This function has base number a=4a = 4 and n=1n = 1. Since a>1a > 1, this function is monotonically increasing. The function value will get larger as x increases. For example, f(0)=40=1f(0) = 4^0 = 1, f(1)=41=4f(1) = 4^1 = 4, f(2)=42=16f(2) = 4^2 = 16.

  2. f(x)=3x+1f(x) = 3^{x+1}

    This function can be rewritten as f(x)=3×3xf(x) = 3 \times 3^x with base number a=3a = 3 and n=3n = 3. The graph of this function is also monotonically increasing, and the function value will get larger as x increases. For example, f(0)=30+1=31=3f(0) = 3^{0+1} = 3^1 = 3, f(1)=31+1=32=9f(1) = 3^{1+1} = 3^2 = 9.

  3. f(x)=52x1f(x) = 5^{2x-1}

    This function has base number a=5a = 5 with exponent 2x12x-1. The function value will change more rapidly because the coefficient of x is 2. For example, f(0)=52(0)1=51=15f(0) = 5^{2(0)-1} = 5^{-1} = \frac{1}{5}, f(1)=52(1)1=51=5f(1) = 5^{2(1)-1} = 5^1 = 5.

  4. f(x)=0.5xf(x) = 0.5^x

    This function has base number a=0.5a = 0.5 where 0<a<10 < a < 1. This function is monotonically decreasing. The function value will get smaller as x increases. For example, f(0)=0.50=1f(0) = 0.5^0 = 1, f(1)=0.51=0.5f(1) = 0.5^1 = 0.5, f(2)=0.52=0.25f(2) = 0.5^2 = 0.25.

Applications of Exponential Functions

Exponential functions are widely used in everyday life and various fields:

  1. Population Growth: The number of bacteria reproducing can be modeled with an exponential function P(t)=P0×2t/nP(t) = P_0 \times 2^{t/n} where P0P_0 is the initial number, t is time, and n is the time required for the population to double.

  2. Compound Interest: If someone saves money with compound interest, the amount of savings after t years can be calculated with A(t)=P×(1+r)tA(t) = P \times (1 + r)^t where P is the initial principal and r is the interest rate.

  3. Radioactive Decay: The amount of radioactive substance remaining after t years can be calculated with A(t)=A0×0.5t/hA(t) = A_0 \times 0.5^{t/h} where A0A_0 is the initial amount and h is the half-life.

  4. Virus Spread: The spread of disease in a population often follows an exponential model in the early phase.