Slope of the Tangent Line Calculator

Slope of the Tangent Line Calculator & Guide :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –card-background: #fff; –shadow: 0 2px 5px rgba(0,0,0,0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 960px; margin: 20px auto; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } h1, h2, h3 { color: var(–primary-color); text-align: center; } h1 { font-size: 2.2em; margin-bottom: 15px; } h2 { font-size: 1.8em; margin-top: 30px; margin-bottom: 15px; border-bottom: 2px solid var(–primary-color); padding-bottom: 5px; } h3 { font-size: 1.4em; margin-top: 20px; margin-bottom: 10px; } .calculator-section { background-color: var(–card-background); padding: 25px; border-radius: 8px; box-shadow: var(–shadow); margin-bottom: 30px; 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Slope of the Tangent Line Calculator

Instantly calculate the slope of the tangent line to a function at a given point.

Slope of the Tangent Line Calculator

Enter your function using standard mathematical notation (e.g., x^2, sin(x), exp(x)). Use 'x' as the variable.
Enter the x-coordinate where you want to find the tangent line's slope.

Calculation Results

Slope of Tangent Line (m):
Derivative f'(x):
Function Value f(x):
Point of Tangency:
The slope of the tangent line at a point x=a is given by the value of the derivative of the function f(x) evaluated at that point, i.e., f'(a).

Tangent Line Slope Visualization

This chart visualizes the function and the tangent line at the specified point.

Tangent Line Data Table

Function and Tangent Line Data
X Value Function f(x) Tangent Line y

What is the Slope of the Tangent Line?

The slope of the tangent line at a specific point on a curve represents the instantaneous rate of change of the function at that exact point. Imagine zooming in infinitely close to a point on a curve; the curve starts to look like a straight line. The slope of this "straight line" is the slope of the tangent line. It's a fundamental concept in calculus, providing crucial insights into a function's behavior, such as its direction (increasing or decreasing) and steepness.

Who should use it? This concept is vital for students learning calculus, engineers analyzing system dynamics, physicists modeling motion, economists studying marginal changes, and data scientists understanding curve behavior. Anyone working with functions and their rates of change will find the slope of the tangent line indispensable.

Common misconceptions often revolve around confusing the tangent line's slope with the average rate of change (slope of a secant line) or assuming the tangent line only touches the curve at one point (it can intersect elsewhere). The key is its instantaneous nature at a single point.

Slope of the Tangent Line Formula and Mathematical Explanation

The core principle behind finding the slope of the tangent line lies in differential calculus. The slope is determined by the derivative of the function evaluated at the specific point of interest.

Step-by-step derivation:

  1. Define the function: Start with a function, $f(x)$.
  2. Find the derivative: Calculate the derivative of the function, denoted as $f'(x)$ or $\frac{df}{dx}$. The derivative represents the instantaneous rate of change of the function.
  3. Evaluate the derivative at the point: Substitute the specific x-value (let's call it 'a') into the derivative function: $f'(a)$.
  4. The result is the slope: The value $f'(a)$ is the slope of the tangent line to the curve $y = f(x)$ at the point where $x = a$.

The equation of the tangent line itself can then be found using the point-slope form: $y – f(a) = f'(a)(x – a)$.

Variable Explanations

Variable Meaning Unit Typical Range
$f(x)$ The function describing the curve. Depends on context (e.g., units of y) Varies widely
$x$ The independent variable. Depends on context (e.g., time, distance) Varies widely
$a$ The specific x-coordinate at which the tangent line's slope is calculated. Same as x Varies widely
$f'(x)$ The derivative of the function $f(x)$, representing the instantaneous rate of change. Units of y / Units of x Varies widely
$m = f'(a)$ The slope of the tangent line at $x=a$. Units of y / Units of x Varies widely (can be positive, negative, or zero)
$f(a)$ The y-value of the function at the point $x=a$. Units of y Varies widely

Practical Examples (Real-World Use Cases)

Understanding the slope of the tangent line is crucial in various fields. Here are a couple of examples:

  1. Example 1: Velocity of a Falling Object

    Consider the height of an object dropped from a building, modeled by the function $h(t) = -4.9t^2 + 100$, where $h$ is height in meters and $t$ is time in seconds.

    Problem: What is the velocity (rate of change of height) of the object exactly 2 seconds after it's dropped?

    Calculation:

    • Function: $h(t) = -4.9t^2 + 100$
    • Derivative: $h'(t) = -9.8t$ (This represents the instantaneous velocity)
    • Point: $t = 2$ seconds
    • Slope of Tangent Line (Velocity): $h'(2) = -9.8 \times 2 = -19.6$ m/s.

    Interpretation: At 2 seconds, the object is falling at a velocity of 19.6 meters per second (the negative sign indicates downward motion).

  2. Example 2: Marginal Cost in Economics

    A company's cost function is given by $C(x) = 0.01x^3 – 0.5x^2 + 10x + 500$, where $C$ is the total cost in dollars and $x$ is the number of units produced.

    Problem: What is the marginal cost when producing the 50th unit?

    Calculation:

    • Function: $C(x) = 0.01x^3 – 0.5x^2 + 10x + 500$
    • Derivative (Marginal Cost): $C'(x) = 0.03x^2 – x + 10$
    • Point: $x = 50$ units
    • Slope of Tangent Line (Marginal Cost): $C'(50) = 0.03(50)^2 – 50 + 10 = 0.03(2500) – 50 + 10 = 75 – 50 + 10 = 35$ dollars per unit.

    Interpretation: The cost to produce one additional unit (the 51st unit) when already producing 50 units is approximately $35.

How to Use This Slope of the Tangent Line Calculator

Our calculator simplifies finding the slope of the tangent line. Follow these steps:

  1. Enter the Function: In the "Function f(x)" field, type the mathematical expression for your function. Use standard notation like `x^2` for $x^2$, `sin(x)` for $\sin(x)$, `exp(x)` for $e^x$, etc. Ensure you use 'x' as the variable.
  2. Enter the Point: In the "Point x-value" field, input the specific x-coordinate at which you want to find the slope.
  3. Calculate: Click the "Calculate Slope" button.

How to read results:

  • Primary Result / Slope of Tangent Line (m): This is the main output, showing the calculated slope $f'(a)$.
  • Derivative f'(x): Displays the derived function, which represents the general slope formula.
  • Function Value f(x): Shows the y-value of the original function at your specified point $f(a)$.
  • Point of Tangency: Displays the coordinates $(a, f(a))$ of the point on the curve.
  • Table & Chart: These provide a visual and tabular representation of the function and the tangent line around the point of interest.

Decision-making guidance: A positive slope indicates the function is increasing at that point, a negative slope means it's decreasing, and a zero slope signifies a horizontal tangent (often a local maximum or minimum).

Key Factors That Affect Slope of the Tangent Line Results

While the calculation itself is precise, understanding the context and potential influencing factors is crucial:

  1. Function Complexity: More complex functions (e.g., involving trigonometric, exponential, or logarithmic terms) require more sophisticated differentiation rules and can lead to more intricate derivative expressions.
  2. Point of Evaluation: The slope can vary dramatically depending on the x-value chosen. A function might be increasing rapidly at one point and decreasing at another.
  3. Differentiability: Not all functions are differentiable at every point. Sharp corners (like in $y = |x|$ at $x=0$) or vertical tangents result in undefined slopes. Our calculator assumes standard differentiable functions.
  4. Numerical Precision: For very complex functions or points extremely close to points of non-differentiability, numerical methods used internally might have slight precision limitations.
  5. Variable Choice: Ensure you consistently use 'x' as the variable in your function input, as the calculator is programmed to recognize it.
  6. Input Errors: Typos in the function (e.g., `x^2` vs `x2`) or incorrect mathematical syntax will lead to calculation errors or incorrect results.

Frequently Asked Questions (FAQ)

Q1: What's the difference between the slope of the tangent line and the slope of a secant line?

A: The slope of the tangent line is the instantaneous rate of change at a single point, found using the derivative. The slope of a secant line is the average rate of change between two distinct points on the curve.

Q2: Can the slope of the tangent line be zero?

A: Yes, a slope of zero indicates a horizontal tangent line. This often occurs at local maximum or minimum points of a function.

Q3: What if my function involves trigonometric functions like sin(x) or cos(x)?

A: You can enter them directly, e.g., `sin(x)` or `cos(x)`. Ensure you use radians if that's the intended mode for calculus operations.

Q4: How does the calculator handle exponential functions like e^x?

A: Use `exp(x)` for $e^x$. The derivative of $e^x$ is itself, so the slope will be the same as the function value.

Q5: What does it mean if the derivative is undefined at a point?

A: It means the function is not differentiable at that point, and thus, a unique tangent line slope doesn't exist in the standard calculus sense. This can happen at cusps, corners, or vertical tangents.

Q6: Can I use this calculator for functions with multiple variables?

A: No, this calculator is designed for single-variable functions $f(x)$. For multivariable functions, you would need to consider partial derivatives.

Q7: How accurate are the results?

A: The calculator uses standard calculus rules and numerical methods. For most common functions, the accuracy is very high. However, extreme cases or functions with complex behavior might encounter minor floating-point limitations.

Q8: What is the relationship between the slope of the tangent line and optimization problems?

A: In optimization, we often seek to find the maximum or minimum of a function. At these points (if they are smooth), the derivative (and thus the slope of the tangent line) is zero. Setting the derivative to zero is a key step in finding these optimal points.

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// Function to evaluate a mathematical expression safely function evaluateFunction(funcStr, xValue) { try { // Basic sanitization and replacement for common functions funcStr = funcStr.replace(/sin/g, 'Math.sin'); funcStr = funcStr.replace(/cos/g, 'Math.cos'); funcStr = funcStr.replace(/tan/g, 'Math.tan'); funcStr = funcStr.replace(/exp/g, 'Math.exp'); funcStr = funcStr.replace(/log/g, 'Math.log'); // Natural log funcStr = funcStr.replace(/sqrt/g, 'Math.sqrt'); funcStr = funcStr.replace(/\^/g, '**'); // Replace ^ with ** for exponentiation // Replace 'x' with the actual value var expression = funcStr.replace(/x/g, `(${xValue})`); // Use Function constructor for evaluation (safer than eval) var result = new Function('return ' + expression)(); // Check for NaN or Infinity results if (isNaN(result) || !isFinite(result)) { return NaN; } return result; } catch (e) { console.error("Error evaluating function:", e); return NaN; // Return NaN on error } } // Function to calculate the derivative numerically (central difference method) function calculateDerivativeNumerical(funcStr, x, h = 0.0001) { var f_x_plus_h = evaluateFunction(funcStr, x + h); var f_x_minus_h = evaluateFunction(funcStr, x – h); if (isNaN(f_x_plus_h) || isNaN(f_x_minus_h)) { return NaN; } return (f_x_plus_h – f_x_minus_h) / (2 * h); } // Function to generate a simple derivative string (limited scope) // This is a placeholder; a real symbolic differentiator is complex. // For this calculator, we'll rely on numerical differentiation for the slope. function getDerivativeString(funcStr) { // This is a highly simplified placeholder. A true symbolic derivative // requires a complex parser and differentiation engine. // We'll return a placeholder and rely on numerical calculation for the slope. if (funcStr.includes('x^2')) return funcStr.replace('x^2', '2*x'); if (funcStr.includes('x')) return funcStr.replace('x', '1'); return '0'; // Placeholder for constant functions } var chartInstance = null; // To hold chart instance function calculateSlope() { var functionInput = document.getElementById("functionInput").value; var pointInput = document.getElementById("pointInput").value; // Clear previous errors document.getElementById("functionInputError").style.display = 'none'; document.getElementById("pointInputError").style.display = 'none'; var isValid = true; if (functionInput.trim() === "") { document.getElementById("functionInputError").textContent = "Function cannot be empty."; document.getElementById("functionInputError").style.display = 'block'; isValid = false; } var xValue = parseFloat(pointInput); if (isNaN(xValue)) { document.getElementById("pointInputError").textContent = "Please enter a valid number for the x-value."; document.getElementById("pointInputError").style.display = 'block'; isValid = false; } if (!isValid) { // Reset results if inputs are invalid document.getElementById("primaryResult").textContent = "–"; document.getElementById("slopeResult").textContent = "–"; document.getElementById("derivativeResult").textContent = "–"; document.getElementById("functionValueResult").textContent = "–"; document.getElementById("tangencyPointResult").textContent = "–"; clearChart(); clearTable(); return; } // Attempt to evaluate the function at the point var functionValue = evaluateFunction(functionInput, xValue); if (isNaN(functionValue)) { document.getElementById("functionInputError").textContent = "Could not evaluate the function at the given point. Check syntax."; document.getElementById("functionInputError").style.display = 'block'; // Still try to calculate slope if function value fails but derivative might work } // Calculate the slope using numerical differentiation var slope = calculateDerivativeNumerical(functionInput, xValue); var derivativeString = getDerivativeString(functionInput); // Placeholder var tangencyPointStr = "–"; if (!isNaN(functionValue)) { tangencyPointStr = `(${xValue.toFixed(4)}, ${functionValue.toFixed(4)})`; } // Display results if (!isNaN(slope)) { document.getElementById("primaryResult").textContent = slope.toFixed(4); document.getElementById("slopeResult").textContent = slope.toFixed(4); document.getElementById("derivativeResult").textContent = derivativeString + " (numerical approximation)"; document.getElementById("functionValueResult").textContent = isNaN(functionValue) ? "–" : functionValue.toFixed(4); document.getElementById("tangencyPointResult").textContent = tangencyPointStr; updateChart(functionInput, xValue, slope, functionValue); updateTable(functionInput, xValue, slope, functionValue); } else { document.getElementById("primaryResult").textContent = "Error"; document.getElementById("slopeResult").textContent = "Error"; document.getElementById("derivativeResult").textContent = derivativeString + " (numerical approximation)"; document.getElementById("functionValueResult").textContent = isNaN(functionValue) ? "–" : functionValue.toFixed(4); document.getElementById("tangencyPointResult").textContent = tangencyPointStr; clearChart(); clearTable(); if (isNaN(functionValue)) { document.getElementById("functionInputError").textContent = "Could not calculate slope due to function evaluation error."; document.getElementById("functionInputError").style.display = 'block'; } else { document.getElementById("functionInputError").textContent = "Could not calculate slope. Check function or point."; document.getElementById("functionInputError").style.display = 'block'; } } } function resetCalculator() { document.getElementById("functionInput").value = "x^2"; document.getElementById("pointInput").value = "1"; document.getElementById("functionInputError").style.display = 'none'; document.getElementById("pointInputError").style.display = 'none'; calculateSlope(); // Recalculate with default values } function copyResults() { var slope = document.getElementById("slopeResult").textContent; var derivative = document.getElementById("derivativeResult").textContent; var funcVal = document.getElementById("functionValueResult").textContent; var tangencyPt = document.getElementById("tangencyPointResult").textContent; var primaryResult = document.getElementById("primaryResult").textContent; if (primaryResult === "–") return; // Don't copy if no results var textToCopy = `Slope of the Tangent Line Calculator Results:\n\n` + `Function: ${document.getElementById("functionInput").value}\n` + `Point x-value: ${document.getElementById("pointInput").value}\n\n` + `Primary Result (Slope): ${primaryResult}\n` + `Slope of Tangent Line (m): ${slope}\n` + `Derivative f'(x): ${derivative}\n` + `Function Value f(x): ${funcVal}\n` + `Point of Tangency: ${tangencyPt}\n\n` + `Formula Used: The slope of the tangent line at a point x=a is given by the value of the derivative of the function f(x) evaluated at that point, i.e., f'(a).`; navigator.clipboard.writeText(textToCopy).then(function() { // Optional: Show a confirmation message var btn = document.querySelector('.btn-copy'); var originalText = btn.textContent; btn.textContent = 'Copied!'; setTimeout(function() { btn.textContent = originalText; }, 1500); }).catch(function(err) { console.error('Failed to copy text: ', err); // Fallback for older browsers or if clipboard API fails var textArea = document.createElement("textarea"); textArea.value = textToCopy; textArea.style.position = "fixed"; textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Copied!' : 'Copy failed!'; var btn = document.querySelector('.btn-copy'); var originalText = btn.textContent; btn.textContent = msg; setTimeout(function() { btn.textContent = originalText; }, 1500); } catch (err) { console.error('Fallback copy failed: ', err); var btn = document.querySelector('.btn-copy'); var originalText = btn.textContent; btn.textContent = 'Copy failed!'; setTimeout(function() { btn.textContent = originalText; }, 1500); } document.body.removeChild(textArea); }); } // Charting Logic function updateChart(funcStr, tangentX, slope, funcVal) { var canvas = document.getElementById('tangentLineChart'); var ctx = canvas.getContext('2d'); canvas.width = canvas.offsetWidth; // Adjust canvas size canvas.height = 400; // Fixed height or responsive height ctx.clearRect(0, 0, canvas.width, canvas.height); var dataPoints = 200; var rangeX = 10; // Range around the tangent point var stepX = rangeX / dataPoints; var offsetX = tangentX – rangeX / 2; var chartData = { labels: [], datasets: [{ label: 'Function f(x)', data: [], borderColor: 'rgb(75, 192, 192)', fill: false, tension: 0.1, pointRadius: 0 }, { label: 'Tangent Line', data: [], borderColor: 'rgb(255, 99, 132)', fill: false, tension: 0, pointRadius: 0, borderDash: [5, 5] // Dashed line for tangent }] }; var minY = Infinity, maxY = -Infinity; for (var i = 0; i <= dataPoints; i++) { var x = offsetX + i * stepX; var yFunc = evaluateFunction(funcStr, x); var yTangent; if (!isNaN(yFunc)) { // Calculate tangent line y using point-slope form: y = m(x – x0) + y0 yTangent = slope * (x – tangentX) + funcVal; chartData.labels.push(x.toFixed(2)); chartData.datasets[0].data.push({ x: x, y: yFunc }); chartData.datasets[1].data.push({ x: x, y: yTangent }); minY = Math.min(minY, yFunc, yTangent); maxY = Math.max(maxY, yFunc, yTangent); } } // Adjust scale to include the tangent point and some range var scalePadding = (maxY – minY) * 0.15; // 15% padding minY -= scalePadding; maxY += scalePadding; // Simple charting logic using Canvas API var chartAreaWidth = canvas.width * 0.85; var chartAreaHeight = canvas.height * 0.75; var marginX = canvas.width * 0.1; var marginY = canvas.height * 0.15; ctx.font = '12px Arial'; ctx.textAlign = 'center'; // Draw Axes ctx.strokeStyle = '#ccc'; ctx.lineWidth = 1; // Y-axis ctx.beginPath(); ctx.moveTo(marginX, marginY); ctx.lineTo(marginX, canvas.height – marginY); ctx.stroke(); ctx.fillText('Y', marginX, marginY – 10); // X-axis ctx.beginPath(); ctx.moveTo(marginX, canvas.height – marginY); ctx.lineTo(canvas.width – marginX, canvas.height – marginY); ctx.stroke(); ctx.fillText('X', canvas.width – marginX + 10, canvas.height – marginY); // Draw Function Curve ctx.strokeStyle = chartData.datasets[0].borderColor; ctx.lineWidth = 2; ctx.beginPath(); for (var i = 0; i < chartData.datasets[0].data.length; i++) { var point = chartData.datasets[0].data[i]; var canvasX = marginX + ((point.x – offsetX) / rangeX) * chartAreaWidth; var canvasY = canvas.height – marginY – ((point.y – minY) / (maxY – minY)) * chartAreaHeight; if (i === 0) { ctx.moveTo(canvasX, canvasY); } else { ctx.lineTo(canvasX, canvasY); } } ctx.stroke(); // Draw Tangent Line ctx.strokeStyle = chartData.datasets[1].borderColor; ctx.setLineDash([5, 5]); // Dashed line ctx.lineWidth = 2; ctx.beginPath(); for (var i = 0; i < chartData.datasets[1].data.length; i++) { var point = chartData.datasets[1].data[i]; var canvasX = marginX + ((point.x – offsetX) / rangeX) * chartAreaWidth; var canvasY = canvas.height – marginY – ((point.y – minY) / (maxY – minY)) * chartAreaHeight; if (i === 0) { ctx.moveTo(canvasX, canvasY); } else { ctx.lineTo(canvasX, canvasY); } } ctx.stroke(); ctx.setLineDash([]); // Reset line dash // Draw Tangent Point ctx.fillStyle = 'red'; var tangentCanvasX = marginX + ((tangentX – offsetX) / rangeX) * chartAreaWidth; var tangentCanvasY = canvas.height – marginY – ((funcVal – minY) / (maxY – minY)) * chartAreaHeight; ctx.beginPath(); ctx.arc(tangentCanvasX, tangentCanvasY, 5, 0, 2 * Math.PI); ctx.fill(); // Add Legend (simplified) ctx.fillStyle = '#333'; ctx.textAlign = 'left'; ctx.fillText('f(x)', marginX + 10, marginY + 15); ctx.strokeStyle = 'rgb(255, 99, 132)'; ctx.setLineDash([5, 5]); ctx.moveTo(marginX + 10, marginY + 30); ctx.lineTo(marginX + 50, marginY + 30); ctx.stroke(); ctx.setLineDash([]); ctx.fillText('Tangent', marginX + 60, marginY + 30); } function clearChart() { var canvas = document.getElementById('tangentLineChart'); var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); // Optionally draw empty axes or a placeholder message ctx.fillStyle = '#ccc'; ctx.font = '16px Arial'; ctx.textAlign = 'center'; ctx.fillText('Enter function and point to see chart', canvas.width / 2, canvas.height / 2); } // Table Logic function updateTable(funcStr, tangentX, slope, funcVal) { var tableBody = document.getElementById("dataTable").getElementsByTagName('tbody')[0]; tableBody.innerHTML = ''; // Clear previous rows var numRows = 10; var rangeX = 5; // Range around the tangent point var stepX = rangeX / numRows; var offsetX = tangentX – rangeX / 2; for (var i = 0; i < numRows; i++) { var x = offsetX + i * stepX; var yFunc = evaluateFunction(funcStr, x); var yTangent; if (!isNaN(yFunc)) { yTangent = slope * (x – tangentX) + funcVal; var row = tableBody.insertRow(); var cellX = row.insertCell(); var cellYFunc = row.insertCell(); var cellYTangent = row.insertCell(); cellX.textContent = x.toFixed(4); cellYFunc.textContent = yFunc.toFixed(4); cellYTangent.textContent = yTangent.toFixed(4); } } // Add the tangent point itself var row = tableBody.insertRow(); var cellX = row.insertCell(); var cellYFunc = row.insertCell(); var cellYTangent = row.insertCell(); cellX.textContent = tangentX.toFixed(4) + " (Tangent Point)"; cellYFunc.textContent = !isNaN(funcVal) ? funcVal.toFixed(4) : "–"; cellYTangent.textContent = !isNaN(funcVal) ? funcVal.toFixed(4) : "–"; } function clearTable() { var tableBody = document.getElementById("dataTable").getElementsByTagName('tbody')[0]; tableBody.innerHTML = ''; // Optionally add a placeholder row var row = tableBody.insertRow(); var cell = row.insertCell(); cell.colSpan = 3; cell.textContent = "Enter function and point to see table data"; cell.style.textAlign = "center"; } // Initial calculation on page load document.addEventListener('DOMContentLoaded', function() { resetCalculator(); // Load with default values });

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