SVD Calculator
This SVD calculator will help you discover what the singular value decomposition of matrices is all about.

What SVD Calculator does
The SVD Calculator on Omni Calculator decomposes any real matrix into three fundamental components: an orthogonal matrix U, a diagonal matrix Σ of singular values, and an orthogonal matrix V transpose. Users input their matrix dimensions and numerical entries, and the tool outputs the constituent matrices, illustrating the core relationship A = UΣVᵀ. This breakdown reveals the underlying structure and properties of the original matrix, making abstract linear algebra concepts tangible. The site provides a clear interface for entering data and reading the mathematical results, supported by explanatory text about the decomposition process. While the primary output is the set of matrices, the tool also links to related calculators for matrix operations, offering a broader context for users working with linear algebra problems. It serves as both a computation engine and an educational resource for understanding matrix factorizations.
How to use the Omni Calculator SVD Calculator
- 1
Select the number of rows and columns for your matrix using the dropdown menus.
- 2
Enter the numerical values for each matrix entry in the provided input fields.
- 3
Review the output, which displays the decomposed matrices U, Σ, and Vᵀ alongside the original matrix relationship.
- 4
Use the 'Share result' or 'Clear all changes' buttons to manage your work.
- 5
Consult the 'Precision' setting to adjust the decimal places of the calculated singular values.
Best for
Students and professionals studying linear algebra who need to quickly verify the singular value decomposition of a matrix and understand the resulting U, Σ, and Vᵀ components without performing manual calculations.
Limitations
- Input is limited to numerical values within the specified matrix dimensions.
- The tool focuses on real matrices; complex matrix support is mentioned but not detailed in the excerpt.
- Results are mathematical outputs and do not include step-by-step manual calculation instructions.
SVD Calculator FAQ
- What do the matrices U, Σ, and Vᵀ represent in the SVD output?
- U and Vᵀ are orthogonal matrices containing the left and right singular vectors, while Σ is a diagonal matrix whose diagonal elements are the singular values of the original matrix A.
- Can the SVD Calculator handle complex numbers or non-square matrices?
- The tool describes support for rectangular matrices of size m × n. For complex matrices, it notes that transposition should be replaced with complex conjugation, and the matrices U and V become unitary, though the interface details for complex inputs are not specified in the excerpt.
- How accurate are the singular values produced by this calculator?
- The calculator provides the singular values as the diagonal elements of matrix Σ; users can adjust precision settings to control the number of decimal places in the output.
- Is the singular value decomposition unique for any given matrix?
- The material notes that the decomposition is a way of factorizing a matrix, but does not explicitly state whether the result is unique or if multiple valid U, Σ, and Vᵀ combinations exist for a single input matrix.
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