Week 2 Flashcards
What is the form of an exponential function?
f: R -> R; f(x) = b * a^x
for some real numbers a > 0, b =/ 0
b = initial value a = base x = exponent
What is euler’s number?
e = 2.71828 (approx.)
How to approximate euler’s number?
One can approximate e by (1 + n1 )n for large n
What is exponential growth and decay?
If a > 1 = growth
If 0 < a < 1 = decay
Properties of exponential functions?
Zeroes/Roots = No zeroes, either always positive or negative if b is pos or neg, respectively.
Bijection = Cannot be injective if f(1) as this means constant, NOT one-to-one. Not bijective.
Injective IF a =/= 1, injective
Not surjective if codomain is R
Surjective if codomain interval is (0, infinity) if 0 < b
Surjective if codomain interval is (-infinity, 0) if 0 > b
Convex/Concave = Convex if b > 0, Concave if b < 0
Properties of logarithmic functions?
Zeroes / Roots = Have zero at x = 1 (loga(1) = 0 = a^0 = 1)
Bijection = Since it is inverse of exponential (reflection of exp. function along line x = y, always bijective
f: (0, infinity) -> R
Cocave/Covex = Concave if a > 1, Convex if a < 1
One way to determine if data set is exponential?
Convert y value to log form. If resulting graph is a line, then original is exponential.
Do exponential decay functions have the same decay rate as power-law functions?
No, exponential functions decay faster than power-law.
What transformation causes power-law functions to appear linear?
Log-log plot transformations
What transformation causes exponentials to appear as linear?
Log-lin plots
What transformation causes logarithmic functions to appear linear?
Lin-log plots
What is ln(x)?
Same as loge (x)
What are the reasons predictions can not go well?
- Accuracy of data
- Could be a different function that fits data better
- Real-life constraints can affect predicted data (e.g. bacteria cannot grow infinitely due to limits to space and sustainance)
- Choice of data points to determine model could be unrepresentative of data / bad fitting straight line.
What do derivatives determine?
- Finding minimal or maximal values
- Find parameters that minimise the ‘error’ in a function fitted to given data.
What are tangents?
A line at a point that best approximates f(x) for x near the point a.
touches plot in (a, f(a))