Exponentials & Logarithms (P1.14) Flashcards
sketch graph in the form y = a^x & transformations
exponential function
when a > 1, f(x) = a^x is an increasing function
as x increases, a^x grows without limit & as x decreases, it tends towards 0
when 0 < a < 1
a^x is a decreasing function
as x decreases, a^x grows without limit & as x increases, it tends towards
as a increases, f(x) goes closer to 0 on -ve x-axis & is steeper on +ve x-axis
sketch graph in the form y = e^x & transformations
crosses y-axis at 1
f(x) = e^kx
fâ(x) =
ke^kx
for e^x, gradient function is the same as the original function
describe exponential modelling
rate of increase is proportional to the size of population at any given moment, using e^x
use e^-x to model situations of decay, where the rate of decrease is proportional to the number of things (atoms) remaining
changing form of logarithms
a^x = n
loga(n) = x
what are the laws of logarithms
loga(x) + loga(y) = loga(xy)
loga(x) - loga(y) = loga(x/y)
loga(x^k) = kloga(x)
loga(1/x) = -loga(x)
loga(a) = 1
loga(1) = 0
describe how to solve equations using logarithms
change form / take logs of both sides
f(x) = g(x)
logaf(x) = logag(x)
describe the graph of y = lnx
y = lnx is a reflection of the graph y = e^x in the line y = x
y = lnx passes through (1,0) & has asymptote at y-axis â> lnx is only defined for +ve values of x
as x increases, lnx grows without limit, but relatively slowly
e^lnx = ln(e^x) = x
how can logarithms be used to to manage non-linear trends in data?
y = ax^n
y = ab^x
convert y = ax^n into log form
y = ax^n
logy = log(ax^n)
logy = loga + log(x^n)
logy = loga + nlogx
compare to y = mx + c
the graph of logy against logx will be a straight line with gradient n & vertical intercept loga
convert y = ab^x into log form
y = ab^x
logy = log(ab^x)
logy = loga + log(b^x)
logy = loga + xlogb
compare to y = mx + c
the graph of logy against x will be a straight line with gradient logb & vertical intercept loga