Today, once again,
a day of solving no
differential equations
whatsoever.
The topic is a special kind of
differential equation,
which occurs a lot.
It's one in which the
right-hand side doesn't have any
independent variable in it.
Now, since I'm going to use as
the independent variable,
t for time, maybe it would be
better to write the left-hand
side to let you know,
since you won't be able to
figure out any other way what it
is, dy dt.
We will write it this time.
dy dt is equal to,
and the point is that there is
no t on the right hand side.
So, there's no t.
There's a name for such an
equation.
Now, some people call it time
independent.
The only problem with that is
that sometimes the independent
variable is a time.
It's something else.
We need a generic word for
there being no independent
variable on the right-hand side.
So, the word that's used for
that is autonomous.
So, that means no independent
variable on the right-hand side.
It's a function of y alone,
the dependent variable.
Now, your first reaction should
be, oh, well,
big deal.
Big deal.
If there's no t on the right
hand side, then we can solve
this by separating variables.
So, why has he been talking
about it in the first place?
So, I admit that.
We can separate variables,
and what I'm going to talk
about today is how to get useful
information out of the equation
about how its solutions look
without solving the equation.
The reason for wanting to do
that is, A, it's fast.
It gives you a lot of insight,
and the actual solution,
I'll illustrate one,
in the first place,
take you quite a while.
You may not be able to actually
do the integrations,
the required and separation of
variables to get an explicit
solution, or it might simply not
be worth the effort of doing if
you only want certain kinds of
separations about the solution.
So, the thing is,
the problem is,
therefore, to get qualitative
information about the solutions
without actually solving --
Without actually having to
solve the equation.
Now, to do that,
let's take a quick look at how
the direction fields of such an
equation, after all,
it's the direction field is our
principal tool for getting
qualitative information about
solutions without actually
solving.
So, how does the direction
field look?
Well, think about it for just a
second, and you will see that
every horizontal line is an
isocline.
So, the horizontal lines,
what are their equations?
This is the t axis.
And, here's the y axis.
The horizontal lines have the
formula y equals a constant.
Let's make it y equals a y zero
for different values of the
constant y zero.
Those are the horizontal lines.
And, the point is they are
isoclines.
Why?
Well, because along any one of
these horizontal lines,
I'll draw one in,
what are the slopes of the line
elements?
The slopes are dy / dt is equal
to f of y zero,
but that's a constant because
there's no t to change as you
move in the horizontal
direction.
The slope is a constant.
So, if I draw in that isocline,
I guess I've forgotten,
as our convention,
isoclines are in dashed lines,
but if you have color,
you are allowed to put them in
living yellow.
Well, I guess I could make them
solid, in that case.
I don't have to make a dash.
Then, all the line elements,
you put them in at will because
they will all have,
they are all the same,
and they have slope,
that, f of y0.
And, similarly down here,
they'll have some other slope.
This one will have some other
slope.
Whatever, this is the y zero,
the value of it,
and whatever that happens to
be.
I'll put it one more.
That's the x-axis.
I can use the x-axis.
That's an isocline,
too.
Now, what do you deduce about
how the solutions must look?
Well, let's draw one solution.
Suppose one solution looks like
this.
Well, that's an integral curve,
in other words.
Its graph is a solution.
Now, as I slide along,
these slope elements stay
exactly the same,
I can slide this curb along
horizontally,
and it will still be an
integral curve everywhere.
So, in other words,
they integral curves are
invariant under translation for
an equation of this type.
They all look exactly the same,
and you get them all by taking
one, and just pushing it along.
Well, that's so simple it's
almost uninteresting,
except in that these equations
occur a lot in practice.
They are often hard to
integrate directly.
And, therefore,
it's important to be able to
get information about them.
Now, how does one do that?
There's one critical idea,
and that is the notion of a
critical point.
These equations have what are
called critical points.
And, what it is is very simple.
There are three ways of looking
at it: critical point,
y zero;
what does it mean for y0 to be
a critical point?
It means, another way of saying
it is that it should be a zero
of the right-hand side.
So, if I ask you to find the
critical points for the
equation, what you will do is
solve the equation f of y equals
zero.
Now, what's interesting about
them?
Well, for a critical point,
what would be the slope of the
line element along,
if this is at a critical level,
if that's a critical point?
Look at that isocline.
What's the slope of the line
elements along it?
It is zero.
And therefore,
for these guys,
these are, in other words,
our solution curves.
But let's prove it formally.
So, there are three ways of
saying it.
y zero is a critical point.
It's a zero of the right-hand
side, or, y equals y0 is a
solution to the equation.
Now, that's perfectly easy to
verify.
If y zero makes this
right-hand side zero,
it's certainly also y equals y0
makes the left-hand
side zero because you're
differentiating a constant.
So, the reasoning,
if you want reasoning,
is proof.
Maybe we can make one line out
of a proof.
To say that it's a solution,
what does it mean to say that
it's a solution?
It means to say that when you
plug it in, plug in this
constant function,
y0, the dy0 dt is equal to f of
y0.
Is that true?
Yeah.
Both sides are zero.
It's true.
Now, y0 is not a number.
Well, it is.
It's a number on this side,
but on this side,
what I mean is a constant
function whose constant value is
y zero, this function,
and its derivatives are zero
because it has slope zero
everywhere.
So, this guy is a constant
function, has slope zero.
This is a number which makes
the right-hand side zero.
Well, that's nice.
So, in other words,
what we found are,
by finding these critical
points, solving that equation,
we found all the horizontal
solutions.
But, what's so good about
those?
Surely, they must be the most
interesting solutions there are.
Well, think of how the picture
goes.
Let's draw in one of those
horizontal solutions.
So, here's a horizontal
solution.
That's a solution.
So, this is my y0.
That's the height at which it
is.
And, I'm assuming that f of y0
equals zero.
So, that's a solution.
Now, the significance of that
is, because it's a solution,
in other words,
it's an integral curve,
remember what's true about
integral curves.
Other curves are not allowed to
cross them.
And therefore,
these things are the absolute
barriers.
So, for example,
suppose I have two of them is
y0, and let's say here's another
one, another constant solution.
I want to know what the curves
in between those can do.
Well, I do know that whatever
those red curves do,
the other integral curves,
they cannot cross this,
and they cannot cross that.
And, you must be able to
translate them along each other
without ever having two of them
intersect.
Now, that really limits their
behavior, but I'm going to nail
it down even more.
So, other curves can't cross
these.
Other integral curves can't
cross these yellow curves,
these yellow lines,
these horizontal lines.
But, I'm going to show you
more, and namely,
so what I'm after is deciding,
without solving the equation,
what those curves must look
like in between.
Now, the way to do that is you
draw, so if we want to make
steps, everybody likes steps,
okay, so step one is going to
be, find these.
Find the critical points.
And, you're going to do that by
solving this equation,
finding out where it's zero.
Once you have done that,
you are going to draw the graph
of f of y.
And, the interest is going to
be, where is it positive?
Where is it negative?
You've already found where it's
zero.
Everywhere else,
therefore, it must be either
positive or negative.
Now, once you have found that
out, why am I interested in
that?
Well, because dy / dt is equal
to f of y, right?
That's what the differential
equation says.
Therefore, if this,
for example,
is positive,
that means this must be
positive.
It means that y must be
increasing.
It means the solution must be
increasing.
Where it's negative,
the solution will be
decreasing.
And, that tells me how it's
behaving in between these yellow
lines, or on top of them,
or on the bottom.
Now, at this point,
I'm going to stop,
or not stop,
I mean, I'm going to stop
talking generally.
And everything in the rest of
the period will be done by
examples which will get
increasingly complicated,
not terribly complicated by the
end.
But, let's do one that's super
simple to begin with.
Sorry, I shouldn't say that
because some of you may be
baffled even by here because
after all I'm going to be doing
the analysis not in the usual
way, but by using new ideas.
That's the way you make
progress.
All right, so,
let's do our bank account.
So, y is money in the bank
account.
r is the interest rate.
Let's assume it's a continuous
interest rate.
All banks nowadays pay interest
continuously,
the continuous interest rate.
So, if that's all there is,
and money is growing,
you know the differential
equation says that the rate at
which it grows is equal to r,
the interest rate times a
principle, the amount that's in
the bank at that time.
So, that's the differential
equation that governs that.
Now, that's,
of course, the solution is
simply an exponential curve.
There's nothing more to say
about it.
Now, let's make it more
interesting.
Let's suppose there is a shifty
teller at the bank,
and your money is being
embezzled from your account at a
constant rate.
So, let's let w equal,
or maybe e, but e has so many
other uses in mathematics,
w is relatively unused,
w is the rate of embezzlement,
thought of as continuous.
So, every day a little bit of
money is sneaked out of your
account because you are not
paying any attention to it.
You're off skiing somewhere,
and not noticing what's
happening to your bank account.
So, since it's the rate,
the time rate of embezzlement,
I simply subtract it from this.
It's not w times y because the
embezzler isn't stealing a
certain fraction of your
account.
It's simply stealing a certain
number of dollars every day,
the same number of dollars
being withdrawn for the count.
Okay, now, of course,
you could solve this.
This separates variables
immediately.
You get the answer,
and there's no problem with
that.
Let's analyze the behavior of
the solutions without solving
the equation by using these two
points.
So, I want to analyze this
equation using the method of
critical points.
So, the first thing I should do
is, so, here's our equation,
is find the critical points.
Notice it's an autonomous
equation all right,
because there's no t on the
right-hand side.
Okay, so, the critical points,
well, that's where ry minus w
equals zero.
In other words,
there's only one critical
point, and that occurs when y is
equal to w over r.
So, that's the only critical
point.
Now, I want to know what's
happening to the solution.
So, in other words,
if I plot, I can write away,
of course, negative values
aren't of particularly
interesting here,
there is definitely a
horizontal solution,
and it has the value,
it's at the height,
w over r.
That's a solution.
The question is,
what do the other solutions
look like?
Now, watch how I make the
analysis because I'm going to
use two now.
So, this is step one,
then step two.
What do I do? Well, 
I'm going to graph f of y.
Well, f of y is ry minus w.
What does that look like?
Okay, so, here is the y-axis.
Notice the y-axis is going
horizontally because what I'm
interested in is the graph of
this function.
What do I call the other axis?
I'm going to use the same
terminology that is used on the
little visual that describes
this.
And, that's dy.
You could call this other axis
the f of y axis.
That's not a good name for it.
You could call it the dy / dt
axis because it's,
so to speak,
the other variable.
That's not great either.
But, worst of all would be
introducing yet another letter
for which we would have no use
whatsoever.
So, let's think of it.
We are plotting,
now, the graph of f of y.
f of y is this function,
ry minus w.
Well, that's a line.
Its intercept is down here at
w, and so the graph looks
something like this.
It's a line.
This is the line,
ry minus w.
It has slope r.
Well, what am I going to get
out of that line?
Just exactly this.
What am I interested in about
that line?
Nothing other than where is it
above the axis,
and where is it below?
This function is positive over
here, and therefore,
I'm going to indicate that
symbolically,
this, by putting an arrow here.
The meeting of this arrow is
that y of t is
increasing.
See where it's the right-hand
side of that last board?
y of t is increasing when f of
y is positive.
f of y is positive here,
and therefore,
to the right of this point,
it's increasing.
Here to the left of it,
f of y is negative,
and therefore over here it's
going to be decreasing.
What point is this,
in fact?
Well, that's where it crosses
the axis.
That's exactly the critical
point, w over r.
Therefore, what this says is
that a solution,
once it's bigger than y over r,
it increases,
and it increases faster and
faster because this function is
higher and higher.
And, that represents the rate
of change.
So, in other words,
once the solution,
let's say a solution starts
over here at time zero.
So, this is the t axis.
And, here is the y axis.
So, now, I'm plotting
solutions.
If it starts at t equals zero,
above this line,
that is, starts with the value
w over r,
which is bigger than zero,
a value bigger than w over r,
then it increases,
and increases faster and
faster.
If it starts below that,
it decreases and decreases
faster and faster.
Now, in fact,
I only have to draw two of
those because what do all the
others look like?
They are translations.
All the other curves look
exactly like those.
They are just translations of
them.
This guy, if I start closer,
it's still going to decrease.
Well, that's supposed to be a
translation.
Maybe it is.
So, these guys look like that.
Let's do just a tiny bit more
interpretation of that.
Well, I think I better leave it
there because we've got harder
things to do,
and I want to make sure we've
got time for it.
Sorry.
Okay, next example,
a logistic equation.
Some of you have already solved
this in recitation,
and some of you haven't.
This is a population equation.
This is the one that section
7.1 and section 1.7 is most
heavily concerned with,
this particular equation.
The derivation of it is a
little vague.
It's an equation which
describes how population
increases.
And one minute,
the population behavior of some
population, --
-- let's call it,
y is the only thing I know to
call anything today,
but of course your book uses
capital P for population,
to get you used to different
variables.
Now, the basic population
equation runs dy / dt.
There's a certain growth rate.
Let's call it k y.
So, k is what's called the
growth rate.
It's actually,
sometimes it's talked about in
terms of birthrate.
But, it's the net birth rate.
It's the rate at which people,
or bacteria,
or whatever are being born
minus the rate at which they are
dying.
So, it's a net birthrate.
But, let's just call it the
growth rate.
Now, if this is the equation,
we can think of this,
if k is constant,
that's what's called simple
population growth.
And you are all familiar with
that.
Logistical growth allows for
slightly more complex
situations.
Logistic growth says that
calling k a constant is
unrealistic because the Earth is
not filled entirely with people.
What stops it from having
unlimited growth?
Well, the fact that the
resources, the food,
the organism has to live on
gets depleted.
And, in other words,
the growth rate declines as y
increases.
As the population increases,
one expects the growth rate to
decline because resources are
being used up,
and they are not indefinitely
available.
Well, in other words,
we should replace k by a
function with this behavior.
What's the simplest function
that declines as y increases?
The simplest choice,
and if you are ignorant about
what else to do,
stick with the simplest,
at least you won't work any
harder than you have to,
would be to take k equal to the
simplest declining function of y
there is, which is simply a
linear function,
A minus BY.
So, if I use that as the choice
of the declining growth rate,
the new equation is dy / dt
equals, here's my new k.
The y stays the same,
so the equation becomes a minus
by, the quantity times y,
or in other words,
ay minus b y squared.
This equation is what's called
the logistic equation.
It has many applications,
not just to population growth.
It's applied to the spread of
disease, the spread of a rumor,
the spread of many things.
Yeah, a couple pieces of chalk
here.
Okay, now, those of you who
have solved it know that the
explicit solution involves,
well, you separate variables,
but you will have to use
partial fractions,
ugh, I hope you love partial
fractions.
You're going to need them later
in the term.
But, I could avoid them now by
not solving the equation
explicitly.
But anyway, you get a solution,
which I was going to write on
the board for you,
but you could look it up in
your book.
It's unpleasant enough looking
to make you feel that there must
be an easier way at least to get
the basic information out.
Okay, let's see if we can get
the basic information out.
What are the critical points?
Well, this is pretty easy.
A, I want to set the right-hand
side equal to zero.
So, I'm going to solve the
equation.
I can factor out a y.
It's going to be y times a
minus by equals zero.
And therefore,
the critical points are where y
equals zero. That's one.
And, the other factor is when
this factor is zero,
and that happens when y is
equal to a over b.
So, there are my two critical
points.
Okay, what does,
let's start drawing pictures of
solutions.
Let's put it in those right
away.
Okay, the critical point,
zero, gives me a solution that
looks like this.
And, the critical point,
a over b,
those are positive numbers.
So, that's somewhere up here.
So, those are two solutions,
constant solutions.
In other words,
if the population by dumb luck
started at zero,
it would stay at zero for all
time.
That's not terribly surprising.
But, it's a little less obvious
that if it starts at that magic
number, a over b,
it will also stay at that magic
number for all time without
moving up or down or away from
it.
Now, the question is,
therefore, what happens in
between?
So, for the in between,
I'm going to make that same
analysis that I made before.
And, it's really not very hard.
Look, so here's my dy/dt-axis.
I'll call that y prime,
okay?
And, here's the y-axis.
So, I'm now doing step two.
This was step one.
Okay, the function that I want
to graph is this one,
ay minus b y squared,
or in factor form,
y times a minus by.
Now, this function,
we know, has a zero.
It has a zero here,
and it has a zero at the point
a over b.
At these two critical points,
it has a zero.
What is it doing in between?
Well, in between,
it's a parabola.
It's a quadratic function.
It's a parabola.
Does it go up or does it go
down?
Well, when y is very large,
it's very negative.
That means it must be a
downward-opening parabola.
And therefore,
this curve looks like this.
So, I'm interested in knowing,
where is it positive,
and where is it negative?
Well, it's positive,
here, for this range of values
of y.
Since it's positive there,
it will be increasing there.
Here, it's negative,
and therefore it will be
decreasing.
Here, it's negative,
and therefore,
dy / dt will be negative also,
and therefore the function,
y, will be decreasing here.
So, how do these other
solutions look?
Well, we can put them in.
I'll put them in in white,
okay, because this has got to
last until the end of the term.
So, how are they doing?
They are increasing between the
two curves.
They are not allowed to cross
either of these yellow curves.
But, they are always
increasing.
Well, if they're always
increasing, they must start here
and increase,
and not allowed to cross.
It must do something like that.
This must be a translation of
it.
In other words,
the curves must look like that.
Those are supposed to be
translations of each other.
I know they aren't,
but use your imaginations.
But what's happening above?
So in other words,
if I start with a population
anywhere bigger than zero but
less than a over b,
it increases asymptotically to
the level a over b.
What happens if I start above
that?
Well, then it decreases to it
because, this way,
for the values of y bigger than
a over b,
it decreases as time increases.
So, these guys up here are
doing this.
And, how about the ones below
the axis?
Well, they have no physical
significance.
But let's put them in anyway.
Whether they doing?
They are decreasing away from
zero.
So, these guys don't mean
anything physically,
but mathematically they exist.
Their solutions,
they're going down like that.
Now, you notice from this
picture that there are,
even though both of these are
constant solutions,
they have dramatically
different behavior.
This one, this solution,
is the one that all other
solutions try to approach as
time goes to infinity.
This one, the solution zero,
is repulsive,
as it were.
Any solution that starts near
zero, if it starts at zero,
of course, it stays there for
all time, but if it starts just
a little bit above zero,
it increases to a over b.
This is called a stable
solution because everybody tries
to get closer and closer to it.
This is called,
zero is also a constant
solution, but this is an
unstable solution.
And now, usually,
solution is too general a word.
I think it's better to call it
a stable critical point,
and an unstable critical point.
But, of course,
it also corresponds to a
solution.
So, critical points are not all
the same.
Some are stable,
and some are unstable.
And, you can see which is which
just by looking at this picture.
If the arrows point towards
them, you've got a stable
critical point.
If it arrows point away from
them, you've got an unstable
critical point.
Now, there is a third
possibility.
Okay, I think we'd better
address it because otherwise
you're going to sit there
wondering, hey,
what did he do?
Suppose it looks like this.
Suppose it were just tangent.
Well, this is the picture of
that curve, the pink curve.
What would the arrows look like
then?
What would the arrows look like
then?
Well, since they are positive,
it's always positive,
the arrow goes like this.
And then on the side,
it also goes in the same
direction.
So, is this critical point
stable or unstable?
It's stable if you approach it
from the left.
So, how, in fact,
do the curves,
how would the corresponding
curves look?
Well, there's our long-term
solution.
This corresponds to that point.
Let's call this a,
and then this will be the
value, a.
If I start below it,
I rise to it.
If I start above it,
I increase.
So, if I start above it,
I do this.
Well, now, that's stable on one
side, and unstable on the other.
And, that's indicated by saying
it's semi-stable.
That's a brilliant word.
I wonder how long it to do
think that one up,
semi-stable critical point:
stable on one side,
unstable on the other depending
on whether you start below it.
And, of course,
it could be reversed if I had
drawn the picture the other way.
I could have approached it from
the top, and left it from below.
You get the idea of the
behavior.
Okay, let's now take,
I'm going to soup up this
logistic equation just a little
bit more.
So, let's talk about the
logistic equation.
But, I'm going to add to it
harvesting, with harvesting.
So, this is a very late 20th
century concept.
So, we imagine,
for example,
a bunch of formerly free range
Atlantic salmon penned in one of
these huge factory farms off the
coast of Maine or someplace.
They've made salmon much
cheaper than it used to be,
but at a certain cost to the
salmon, and possibly to our
environment.
So, what happens?
Well, the salmon grow,
and grow, and do what salmon
do.
And, they are harvested.
That's a word somewhere in the
category of ethnic cleansing in
my opinion.
But, it's, again,
a very 20th-century word.
I think it was Hitler who
discovered that,
that all you had to do was call
something by a sanitary name,
and no matter how horrible it
was, good bourgeois people would
accept it.
So, the harvesting,
which means,
of course, picking them up and
killing them,
and putting them in cans and
stuff like that,
okay, so what's the equation?
I'm going to assume that the
harvest is at a constant time
rate.
In other words,
it's not a certain fraction of
all the salmon that are being
caught each day and canned.
The factory has a certain
capacity, so,
400 pounds of salmon each day
are pulled out and canned.
So, it's a constant time rate.
That means that the equation is
now going to be dy/dt is equal
to, well, salmon grow
logistically.
ay minus b y squared, 
so, that part of the
equation is the same.
But, I need a term to take care
of this constant harvesting
rate, and that will be h.
Let's call it h,
not h times y.
Then, I would be harvesting a
certain fraction of all the
salmon there,
which is not what I'm doing.
Okay: our equation.
Now, I want to analyze what the
critical points of this look
like.
Now, this is a little more
subtle because there's now a new
parameter, there.
And, what I want to see is how
that varies with the new
parameter.
The best thing to do is,
I mean, the thing not to do is
make this equal to zero,
fiddle around with the
quadratic formula,
get some massive expression,
and then spend the next half
hour scratching your head trying
to figure out what it means,
and what information you are
supposed to be getting out of
it.
Draw pictures instead.
Draw pictures.
If h is zero,
that's the smallest harvesting
rate I could have.
The picture looks like our old
one.
So, if h is zero,
the picture looks like,
what color did I,
okay, pink.
Yellow.
Yellow is the cheapest,
but I can't find it.
Okay, yellow is commercially
available.
These are precious.
All right, purple if it's okay,
purple.
So, this is the one,
our original one corresponding
to h equals zero.
Or, in other words,
it's the equation ay minus b y
squared. h is zero.
Now, if I want to find,
I now want to increase the
value of h, well,
if I increase the value of h,
in other words,
harvest more and more,
what's happening?
Well, I simply lower this
function by h.
So, if I lower h somewhat,
it will come to here.
So, this is some value,
ay minus b y squared minus h1,
let's say.
That's this curve.
If I lower it a lot,
it will look like this.
So, ay minus b y squared minus
h a lot, h twenty.
This doesn't mean anything.
Two.
Obviously, there's one
interesting value to lower it
by.
It's a value which would lower
it exactly by this amount.
Let me put that in special.
If I lower it by just that
amount, the curve always looks
the same.
It's just been lowered.
I'm going to say this one is,
so this one is the same thing,
except that I've subtracted h
sub m. Where is h sub m on
the picture?
Well, I lowered it by this
amount.
So, this height is h sub m.
In other words,
if I find the maximum height
here, which is easy to do
because it's a parabola,
and lower it by exactly that
amount, I will have lowered it
to this point.
This will be a critical point.
Now, the question is,
what's happened to the critical
point as I did this?
I started with the critical
points here and here.
As I lower h,
the critical point changed to
this and that.
And now, it changed to this one
when I got to the purple line.
And, as I went still further
down, there were no critical
points.
So, this curve has no critical
points attached to it.
What are the corresponding
pictures?
Well, the corresponding
pictures, well,
we've already drawn,
the picture for h equals zero
is drawn already.
The pictures that I'm talking
about are how the solutions
look.
How would the solution look
like for this one for h one?
For h1, the solutions look
like, here is a over b.
Here is a over b,
but the critical points aren't
at zero and a over b anymore.
They've moved in a little bit.
So, they are here and here.
And, otherwise,
the solutions look just like
they did before,
and the analysis is the same.
And, similarly,
if h two goes very far,
if h2 is very large,
there are no critical points.
h, too large,
no critical points.
Are the solutions decreasing
all the time or increasing?
Well, they are always
decreasing because the function
is always negative.
Solutions always go down,
always.
The interesting one is this
last one, where I decreased it
just to (h)m.
And, what happens there is
there is this certain,
magic critical point whose
value we could calculate.
There's one constant solution.
So, this is one that has the
value.
Sorry, I'm calculating the
solutions out.
So, y here and t here,
so here it is value,
(h)m is the value by which it
has been lowered.
So, this is the picture for
(h)m.
And, how do the solutions look?
Well, to the right of that,
they are decreasing.
And, to the left they are also
decreasing because this function
is always negative.
So, the solutions look like
this, if you start above,
and if you start below,
they decrease.
And, of course,
they can't get lower than zero
because these are salmon.
What is the significance of
(h)m?
(h)m is the maximum rate of
harvesting.
It's an extremely important
number for this industry.
If the maximum time rate at
which you can pull the salmon
daily out of the water,
and can them without what
happening?
Without the salmon going to
zero.
As long as you start above,
and don't harvest it more than
this rate, it will be following
these curves.
You will be following these
curves, and you will still have
salmon.
If you harvest just a little
bit more, you will be on this
curve that has no critical
points, and the salmon in the
tank will decrease to zero.
