eigenx-blog

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Eigenvalues are often introduced in the context of linear algebra or matrix theory. Historically, however, they arose in the study of quadratic forms and differential equations.

In the 18th century Leonhard Euler studied the rotational motion of a rigid body and discovered the importance of the principal axes.[8] Joseph-Louis Lagrange realized that the principal axes are the eigenvectors of the inertia matrix.[9] In the early 19th century, Augustin-Louis Cauchy saw how their work could be used to classify the quadric surfaces, and generalized it to arbitrary dimensions.[10] Cauchy also coined the term racine caractéristique (characteristic root) for what is now called eigenvalue; his term survives in characteristic equation.[11]

Joseph Fourier used the work of Lagrange and Pierre-Simon Laplace to solve the heat equation by separation of variables in his famous 1822 book Théorie analytique de la chaleur.[12] Charles-François Sturm developed Fourier's ideas further and brought them to the attention of Cauchy, who combined them with his own ideas and arrived at the fact that real symmetric matrices have real eigenvalues.[13] This was extended by Charles Hermite in 1855 to what are now called Hermitian matrices.[14] Around the same time, Francesco Brioschi proved that the eigenvalues of orthogonal matrices lie on the unit circle,[13] and Alfred Clebsch found the corresponding result for skew-symmetric matrices.[14] Finally, Karl Weierstrass clarified an important aspect in the stability theory started by Laplace by realizing that defective matrices can cause instability.[13]

In the meantime, Joseph Liouville studied eigenvalue problems similar to those of Sturm; the discipline that grew out of their work is now called Sturm–Liouville theory.[15] Schwarz studied the first eigenvalue of Laplace's equation on general domains towards the end of the 19th century, while Poincaré studied Poisson's equation a few years later.[16]

At the start of the 20th century, David Hilbert studied the eigenvalues of integral operators by viewing the operators as infinite matrices.[17] He was the first to use the German word eigen, which means "own", to denote eigenvalues and eigenvectors in 1904,[18] though he may have been following a related usage by Hermann von Helmholtz. For some time, the standard term in English was "proper value", but the more distinctive term "eigenvalue" is standard today.[19]

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My Second Blog Post

This is to test second blog post. In founding Eigen X, we wanted to choose a name that reinforced our ability to deliver scalable solutions to complex business and technology challenges. In solving complex systems of equations in linear algebra, the solution to a matrix is defined by its eigenvector. The eigenvalue X provides the scalable solution to these complex systems of equations.

[eigenx-blog]

My First Blog Post

This is a test post for the blog.  Eigen X is a technology services company focused on delivering scalable solutions and achieving business outcomes, whether they are for established