Home

derivace

Derivace, in mathematical usage often equated with the derivative, is the concept of the instantaneous rate of change of a function with respect to its variable. For a real-valued function f defined on an interval, the derivative at a point x0 is defined as f'(x0) = lim_{h→0} (f(x0 + h) − f(x0)) / h, provided the limit exists. Geometrically, the derivative represents the slope of the tangent line to the graph of f at x0 and thus characterizes how the function value changes in small neighborhoods around x0.

Notationally, derivatives are written as f'(x), df/dx, or using differential notation df; partial derivatives in multivariable

In several variables, derivatives extend to partial derivatives, the gradient ∇f, the Jacobian matrix for vector-valued

Differentiability at a point implies continuity there, though a function can be continuous but not differentiable

contexts
are
denoted
∂f/∂xj.
Fundamental
rules
govern
differentiation,
including
linearity
(d/dx
[af
+
bg]
=
a
f'
+
b
g'),
the
product
rule
(fg)'
=
f'g
+
fg',
the
quotient
rule,
and
the
chain
rule
for
composed
functions.
The
derivative
provides
a
local
linear
approximation:
f(x)
≈
f(x0)
+
f'(x0)(x
−
x0)
when
x
is
near
x0.
functions,
and
the
Hessian
for
second-order
information.
Differentiation
is
central
in
physics,
where
velocity
is
the
time
derivative
of
position
and
acceleration
is
the
second
derivative;
in
optimization,
derivatives
identify
critical
points
where
f'(x)
=
0.
at
some
points.
Derivace
thus
names
a
foundational
tool
in
calculus
and
analysis,
with
wide-ranging
theoretical
and
applied
uses.