Check a matrix transformation homework step
A direct result can help confirm whether each row-product sum was handled correctly.
Everyday Tools
Multiply a small matrix by a compatible vector in practical 2x2 and 3x3 modes.
Why this page exists
Linear-algebra work is easier to check when a matrix-vector product is calculated directly instead of being rebuilt row by row by hand every time. This calculator helps users multiply a small matrix by a compatible vector in 2x2 and 3x3 modes and clearly shows the original matrix, the original vector, and the resulting vector.
Interactive tool
Enter your numbers and read the result first, then use the sections below to understand what affects the outcome.
Calculator
Multiply a small matrix by a compatible vector in student-friendly 2x2 and 3x3 modes.
Result
Calculated the matrix-vector product by multiplying each matrix row by the compatible input vector.
This is standard matrix-vector multiplication for the supported small modes only. The matrix and vector sizes must stay compatible with the mode selected.
Planning note
Last updated April 17, 2026. Use this tool to compare scenarios and plan ahead, then confirm important details with the lender, employer, insurer, contractor, or other qualified provider involved in the final decision.
How it works
Choose the supported matrix-vector mode you want to use and enter the matrix entries and vector components.
The calculator multiplies each matrix row by the compatible vector and sums the row products to build the resulting vector.
It shows the product vector together with the original matrix, vector, and mode used.
Understanding your result
This is standard matrix-vector multiplication for the supported small modes only. The matrix and vector must stay dimensionally compatible with the selected mode.
Browse more everyday toolsExamples
Example scenarios help turn a quick estimate into a more useful comparison or planning step.
A direct result can help confirm whether each row-product sum was handled correctly.
Switching modes can show how a different matrix size changes the resulting vector format and outcome.
Matrix-vector multiplication becomes more useful when reviewed beside other matrix and vector operations in the same workflow.
When to use it
Use this when you want a quick check on a small matrix-vector product in a homework, physics, or linear-algebra problem.
It is especially useful when you want to verify row-by-row multiplication without rebuilding every sum manually.
Assumptions and limitations
The calculator supports only the practical 2x2-by-2D and 3x3-by-3D modes shown on the page.
It does not handle symbolic entries, larger matrices, or incompatible dimensions outside the supported modes.
Common mistakes
Mixing the order of vector components can change every row sum even when the matrix entries themselves are correct.
Confusing matrix-vector multiplication with full matrix-matrix multiplication can lead to the wrong expected output shape.
Practical tips
Use the matrix label and vector label shown in the result to double-check that you entered values in the intended order before trusting the product.
Pair the product with vector-angle or magnitude tools if you want to interpret how the transformation changes direction or size.
Worked example
A worked example shows how the estimate behaves when the inputs resemble a real planning decision.
A student wants to apply a 3x3 matrix to a 3D vector and confirm the resulting transformed vector without redoing every row sum by hand.
1. Choose the 3x3 mode and enter the matrix entries and vector components.
2. Multiply each matrix row by the vector component by component.
3. Add each row’s products to read the resulting vector.
Takeaway: The result gives a clean transformation check and makes the compatible dimensions easy to confirm.
FAQ
The calculator multiplies each matrix row by the compatible vector component by component and then sums those products to produce each entry in the resulting vector.
Because each row needs the same number of components as the vector, so a 2x2 matrix must pair with a 2D vector and a 3x3 matrix must pair with a 3D vector.
Matrix-vector multiplication uses one vector as the input on the right side, so the output is a vector rather than another matrix.
Related tools
Matrix multiplication, addition, subtraction, and vector-magnitude tools help show how the matrix-vector product fits inside broader linear-algebra work.
Vector-angle and dot-product tools add context when you want to interpret how the transformed vector compares directionally with other vectors.
Multiply small matrices in a practical, student-friendly way.
Add two small matrices with matching dimensions and show the resulting matrix.
Subtract one 2x2 or 3x3 matrix from another and show the resulting matrix.
Calculate the magnitude of a 2D or 3D vector from its components.
Estimate the angle between two 2D or 3D vectors.