Visual Limits for Programmers

Limits — a curve approaching a value as x gets close to a point

Plain English first

A limit asks: what value is a function heading toward, even if it never quite gets there?

Think of driving toward a wall. You slow down as you approach. A limit is the wall — the value everything is moving toward — even if you never touch it.

You do not need to stand exactly on the point. You just need to watch where the outputs are heading.

The picture

x getting closer to 2 from the left:  1.9 → 1.99 → 1.999 → ...
x getting closer to 2 from the right: 2.1 → 2.01 → 2.001 → ...

Both sides squeeze toward the same output → that output is the limit.

Standard math notation

lim f(x) = L
x → a

Read as: "the limit of f(x) as x approaches a equals L"

Verbose Python with descriptive names

def estimate_limit_by_approaching(function, target_input, number_of_steps=10):
    """
    Estimate the limit of a function at a given input by computing
    the function at inputs that get progressively closer to the target.

    This is how you would check a limit numerically — approach from both
    sides and see if the outputs converge to the same value.
    """
    print(f"Approaching {target_input} from the left:")
    for step in range(1, number_of_steps + 1):
        # Each step gets ten times closer to the target
        distance_from_target = 10 ** (-step)
        input_from_left = target_input - distance_from_target
        output_value = function(input_from_left)
        print(f"  x = {input_from_left:.10f}  →  f(x) = {output_value:.10f}")

    print(f"\nApproaching {target_input} from the right:")
    for step in range(1, number_of_steps + 1):
        distance_from_target = 10 ** (-step)
        input_from_right = target_input + distance_from_target
        output_value = function(input_from_right)
        print(f"  x = {input_from_right:.10f}  →  f(x) = {output_value:.10f}")


# Example: limit of (x² - 4) / (x - 2) as x → 2
# At exactly x=2, this is 0/0 (undefined). But the limit is 4.
def tricky_function(x):
    return (x * x - 4) / (x - 2)

estimate_limit_by_approaching(tricky_function, target_input=2)
# Both sides converge to 4.0

Why limits matter for programming

Limits make derivatives possible. To find the slope of a curve at one point:
- Pick two points very close together
- Compute the slope between them
- The limit is what happens as the distance shrinks to zero

def approximate_slope_at_point(function, input_value):
    """
    Estimate the slope (derivative) of a function at a specific input.
    This is the limit of (f(x+h) - f(x)) / h as h → 0.
    """
    tiny_step = 0.000001  # h, very small but not zero

    output_at_x       = function(input_value)
    output_at_x_plus_h = function(input_value + tiny_step)

    rise = output_at_x_plus_h - output_at_x
    run  = tiny_step

    slope_approximation = rise / run
    return slope_approximation

Common mistakes

Thinking the function must be defined at the target point. It does not — the limit only cares about nearby values.
Confusing the limit (what the output approaches) with the actual output (what the function equals at that point). These can differ.
Expecting limits to always exist. If the left and right approaches give different values, the limit does not exist.

Risultati