Matrix Calculator: Add, Multiply & Find Determinant | Free

A Yes, it does. For a 3×2 matrix, the transpose flips it to 2×3. The step-by-step view highlights each row-to-column swap. You'll see the original rows become new columns, one by one. This makes it clear how the operation works, not just the final result.

A It's a common trap to think they work the same way. Here's the kicker: matrix multiplication isn't commutative. A×B almost never equals B×A. Our calculator enforces this — if you try swapping the matrices in the multiplication tool, you'll get a different result. Try it with two 2×2 matrices like [[1,2],[3,4]] and [[5,6],[7,8]]. The step-by-step view shows exactly why the order matters, which helps if you're preparing for exams.

A Yes, it really is that simple. For two matrices of the same size, say two 3×3 matrices, just add each matching position: result[1][1] = A[1][1] + B[1][1]. The step-by-step view shows these nine additions one row at a time. No cross-term tricks, no special rules. That makes it the easiest operation to verify. If your matrices don't match in size, the tool won't let you add them.

A This calculator doesn't have a dedicated inverse button, but you can figure it out using the determinant and adjugate. For a 3x3 matrix, first compute the determinant here — if it's zero, no inverse exists. Then manually build the matrix of minors, apply the checkerboard pattern of signs to get the cofactor matrix, and transpose it to get the adjugate. Finally, divide each element of the adjugate by your determinant value. The step-by-step determinant view helps confirm you're on the right track.

A No — the inner dimensions must match. For multiplication, the first matrix's columns (3) must equal the second matrix's rows (4). They don't here, so the tool stops you. Valid combos are 2×3 times 3×4, or 4×2 times 2×3. The result's size comes from the outer dimensions: 2×3 times 3×4 gives a 2×4. Try mismatched sizes in the calculator — it'll gray out the multiply button.

A It rounds decimal results to four decimal places by default. A determinant like 1/3 shows as 0.3333, not the fraction ⅓. For most homework and engineering checks, that's plenty of precision. If you need the raw fraction, you'll have to do the division yourself. One tip: input whole numbers when possible to avoid rounding altogether.

A The tool blocks that input entirely. Each row must have the same number of elements, so a 3×3 matrix needs exactly three numbers per row, no exceptions. If you type [[1,2],[3,4,5]], the calculator flags it as invalid and won't run any operation. You'll see a red outline around the offending row. Fix it by adding the missing value or removing the extra one. This strictness prevents broken calculations downstream, which is a lifesaver when you're rushing through homework.

A Multiplication only works when the first matrix's column count matches the second matrix's row count. For a 4x4 times a 4x1, the inner numbers are 4 and 4, so that actually works — you get a 4x1 result. But if you try a 4x1 times a 4x4, the inner numbers are 1 and 4, which don't match. The tool grays out the button instantly. A quick check: write the dimensions side by side and compare the middle two numbers. That saves you the frustration of a dead click.

A Absolutely, the layout adapts to smaller screens. Tapping the input cells on a 5-inch display works smoothly—no desktop required. The step-by-step solution view switches to a single-column format on mobile, so you scroll instead of squint. Tutors often use this on a tablet while walking students through a problem, because the touch interface lets you edit a single entry without retyping the whole matrix. One small tip: rotate your device to landscape for the 4×4 input grid, since portrait mode makes those tiny fields harder to hit.

A No, this tool focuses strictly on core matrix operations like addition and determinants rather than built-in linear system solvers. Chemistry teachers preparing stoichiometry lessons often use it to balance complex reaction equations by setting up coefficient matrices. If you need to solve $Ax = b$, you'll have to compute the inverse manually or use a dedicated solver. Try multiplying your coefficient matrix by a 4x1 vector instead to test specific solution candidates.