A parallelogram. The sides are shown in blue and the diagonals in red.
In mathematics, the simplest form of the parallelogram law (also called the parallelogram identity) belongs to elementary geometry. It states that the sum of the squares of the lengths of the four sides of a parallelogram equals the sum of the squares of the lengths of the two diagonals. We use these notations for the sides: AB, BC, CD, DA. But since in Euclidean geometry a parallelogram necessarily has opposite sides equal, that is, AB = CD and BC = DA, the law can be stated as
If the parallelogram is a rectangle, the two diagonals are of equal lengths AC = BD, so
and the statement reduces to the Pythagorean theorem
. For the general quadrilateral
with four sides not necessarily equal,
is the length of the line segment
joining the midpoints
of the diagonals. It can be seen from the diagram that
for a parallelogram, and so the general formula simplifies to the parallelogram law.
In the parallelogram on the right, let AD = BC = a, AB = DC = b, By using the law of cosines in triangle we get:
In a parallelogram, adjacent angles are supplementary, therefore Using the law of cosines in triangle produces:
By applying the trigonometric identity to the former result proves:
Now the sum of squares can be expressed as:
Simplifying this expression, it becomes:
The parallelogram law in inner product spaces
Vectors involved in the parallelogram law.
In a normed space, the statement of the parallelogram law is an equation relating norms:
The parallelogram law is equivalent to the seemingly weaker statement:
because the reverse inequality can be obtained from it by substituting
and then simplifying. With the same proof, the parallelogram law is also equivalent to:
In an inner product space, the norm is determined using the inner product:
As a consequence of this definition, in an inner product space the parallelogram law is an algebraic identity, readily established using the properties of the inner product:
Adding these two expressions:
If is orthogonal to meaning and the above equation for the norm of a sum becomes:
which is Pythagoras' theorem
Normed vector spaces satisfying the parallelogram law
Most real and complex normed vector spaces do not have inner products, but all normed vector spaces have norms (by definition). For example, a commonly used norm is the -norm:
are the components of vector
Given a norm, one can evaluate both sides of the parallelogram law above. A remarkable fact is that if the parallelogram law holds, then the norm must arise in the usual way from some inner product. In particular, it holds for the -norm if and only if the so-called Euclidean norm or standard norm.
For any norm satisfying the parallelogram law (which necessarily is an inner product norm), the inner product generating the norm is unique as a consequence of the polarization identity. In the real case, the polarization identity is given by:
or equivalently by
In the complex case it is given by:
For example, using the -norm with and real vectors and the evaluation of the inner product proceeds as follows:
which is the standard dot product
of two vectors.