Time!
y = a * bxUsing "^" for powers. Any exponential formula can be written in one of the following two forms: y = A e^Bx y = C D^x where "y" is the independent variable, "x" is the dependent variable, and "A", "B", "C", and "D" are arbitrary constants.
Cubic Growth is x^a, a being some constant, while exponential growth is a^x. Exponential growth ends up growing MUCH faster than cubic growth.
Reverend Thomas Malthus developed the concept of Exponential Growth (another name for this is Malthusian growth model.) However the mathematical Exponent function was already know, but not applied to population growth and growth constraints. Exponential Decay is a natural extension of Exponential Growth
Exponential growth has a growth/decay factor (or percentage decimal) greater than 1. Decay has a decay factor less than 1.
Exponential Decay. hope this will help :)
There is no such thing. "Exponential growth" implies that there is some function - a variable that depends on another variable (often time).
That you have an exponential function. These functions are typical for certain practical problems, such as population growth, or radioactive decay (with a negative exponent in this case).
Dependent variable: growth of crystals Independent variable: temperature.
If the exponent has the variable of time in it, then it will be either exponential growth (such as compound interest for example), or exponential decay (such as radioactive materials, or a capacitor discharging). If the time constant (coefficient of the time variable) is positive then it is growth, if the time constant is negative, then it is decay.
y = a * bxUsing "^" for powers. Any exponential formula can be written in one of the following two forms: y = A e^Bx y = C D^x where "y" is the independent variable, "x" is the dependent variable, and "A", "B", "C", and "D" are arbitrary constants.
An independent variable is the variable in the experiment that affects the other variable. For example, in an experiment that tests the affect of the amount of fertilizer on plant growth, the amount of fertilizer is the independent variable and the plant growth is the dependent variable. This is because the plant growth DEPENDS on the amount of fertilizer.
The dependent variable is the growth that depends upon (or results from) the application of fertilizer. The independent variable is the fertilizer itself.
An independent variable is the variable of the experiment that the dependent variable depends on. For example, in an experiment testing the effects of soil quality on a plant's growth, the dependent variable would be the plant's growth and the independent variable would be the quality of the soil.
Independent variables can take values within a given boundary. The dependent variable will take values based on the independent variable and a given relationship at which the former can take its values.
Dependent variable is your data, independent variable is what you are testing. Ex. Sunlight would be the independent variable and a plants growth would be the dependent variable.
'Variables' are any factors that can be controlled, changed or measured. There are two types: the independent variable and the dependent variable. The independent variable is the condition that you change and the dependent variable is what you are observing. So if you are trying to measure the effect of water on plant growth the water would be the independent variable and the plant growth would be the dependent variable.
Example: the amount of food is the independent variable because it has been changed and the growth of chickens is the dependent variable because the growth will be effected by the amount of food. Growth depends on the food