Difference between revisions of "Exponential function"
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The '''exponential function''' is the [[function]] <math>f(x) = e^x</math>, [[exponentiation]] by ''[[e]]''. It is a very important function in [[analysis]], both [[real]] and [[complex]]. | The '''exponential function''' is the [[function]] <math>f(x) = e^x</math>, [[exponentiation]] by ''[[e]]''. It is a very important function in [[analysis]], both [[real]] and [[complex]]. | ||
− | + | == General Info and Definitions == | |
+ | Exponential functions are functions that grows or decays at a constant percent rate. | ||
+ | :Exponential functions that result in an '''''increase''''' of ''y'' is called an '''''exponential growth'''''. | ||
+ | :Exponential functions that result in an '''''decrease''''' of ''y'' is called an '''''exponential decay'''''. | ||
− | Exponential | + | An exponential growth graph looks like: |
− | <math>f\left( x \right) = a\left( {{1 \over 2}} \right)^{{x \over h}} | + | |
− | </math> <math>f\left( x \right) = a\left( 2 \right)^{{x \over d}} | + | [[Image:2_power_x_growth.jpg]] |
+ | |||
+ | An exponential decay graph looks like: | ||
+ | |||
+ | [[Image:05_power_x_decay.jpg]] | ||
+ | |||
+ | Exponential functions are in one of three forms. | ||
+ | :<math>f\left( x \right) = ab^x </math>, where ''b'' is the % change written in decimals | ||
+ | :<math>f\left( x \right) = ae^k </math>, where [[e]] is the irrational constant ''2.71828182846....'' | ||
+ | :<math>f\left( x \right) = a\left( {{1 \over 2}} \right)^{{x \over h}} | ||
+ | </math> or <math>f\left( x \right) = a\left( 2 \right)^{{x \over d}} | ||
</math>, where ''h'' is the half-life (for decay), or ''d'' is the doubling time (for growth). | </math>, where ''h'' is the half-life (for decay), or ''d'' is the doubling time (for growth). | ||
+ | Whether an exponential function shows growth or decay depends upon the value of its ''b'' value. | ||
+ | :If <math>b > 1</math>, then the function will show growth. | ||
+ | :If <math>0 < b < 1</math>, then the function will show decay. | ||
+ | |||
+ | == Solving Exponential Equations == | ||
+ | There are two ways to solve an exponential equation. Graphically with a computer/calculator or algebraicly using [[logarithms]]. | ||
+ | |||
+ | '''Example:''' Solve <math>56 = 12\left( {1.24976} \right)^x </math> | ||
+ | |||
+ | *'''Graphically:''' | ||
+ | |||
+ | ::Graph both equations and find the intersection. | ||
+ | ::[[Image:expfunc_graphsolve_eqn.jpg]] | ||
− | '' | + | *'''Algebraically:''' |
+ | There, we will use [[Natural logarithm|natural logarithms]]. The same operation can also be done with [[common logarithms]]. | ||
+ | ::<math>56 = 12\left( {1.24976} \right)^x </math> | ||
+ | ::<math>{{56} \over {12}} = \left( {1.24976} \right)^x </math> | ||
+ | ::<math>\ln \left( {{{56} \over {12}}} \right) = x\ln \left( {1.24976} \right)</math> | ||
+ | ::<math>x = {{\ln \left( {{{56} \over {12}}} \right)} \over {\ln \left( {1.24976} \right)}}</math> | ||
+ | ::<math>x \approx 6.9093</math> |
Latest revision as of 14:57, 6 March 2022
The exponential function is the function , exponentiation by e. It is a very important function in analysis, both real and complex.
General Info and Definitions
Exponential functions are functions that grows or decays at a constant percent rate.
- Exponential functions that result in an increase of y is called an exponential growth.
- Exponential functions that result in an decrease of y is called an exponential decay.
An exponential growth graph looks like:
An exponential decay graph looks like:
Exponential functions are in one of three forms.
- , where b is the % change written in decimals
- , where e is the irrational constant 2.71828182846....
- or , where h is the half-life (for decay), or d is the doubling time (for growth).
Whether an exponential function shows growth or decay depends upon the value of its b value.
- If , then the function will show growth.
- If , then the function will show decay.
Solving Exponential Equations
There are two ways to solve an exponential equation. Graphically with a computer/calculator or algebraicly using logarithms.
Example: Solve
- Graphically:
- Algebraically:
There, we will use natural logarithms. The same operation can also be done with common logarithms.